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  • Are ISAs the Solution to Student Debt?

    AI transcript
    0:00:05 The content here is for informational purposes only, should not be taken as legal business
    0:00:10 tax or investment advice, or be used to evaluate any investment or security and is not directed
    0:00:14 at any investors or potential investors in any A16Z fund.
    0:00:16 For more details, please see a16z.com/disclosures.
    0:00:21 Hi, and welcome to the A16Z podcast.
    0:00:26 I’m Lauren Murrow, and I’m here with Austin Elred, CEO and co-founder of the Skills-Based
    0:00:32 Online School, Lambda School, and Darcy Kulikin, a partner on the consumer tech team.
    0:00:37 Today we’re discussing an issue that has saddled much of a generation, student debt.
    0:00:42 Student debt currently stands at more than $1.5 trillion, which makes it the second highest
    0:00:45 consumer debt category behind mortgage debt.
    0:00:50 The national total for student debt is higher than both credit cards and auto loans.
    0:00:55 One solution that’s been proposed is income share agreements, or ISAs.
    0:00:59 It’s a concept currently in the zeitgeist that’s spring debate across media and politics.
    0:01:02 Here’s the idea.
    0:01:06 Rather than charging students tuition to attend college, often forcing them to then take out
    0:01:09 loans in the process, they go to school for free.
    0:01:14 But under an ISA, they are then required to pay back a percentage of their income after
    0:01:20 graduation, but only if they land a job with a salary that meets a certain amount.
    0:01:23 In this episode, we delve into some of the greater implications ISAs may have for the
    0:01:27 future of education, the economy, and more.
    0:01:31 We also touch on some of the challenges of ISAs, why they’ve been relatively slow to
    0:01:35 gain traction, why some have failed in the past, and why some in the political sphere
    0:01:38 are still skeptical.
    0:01:44 As we begin our conversation, Austin gives his explanation for why ISAs work.
    0:01:49 I think of it as a very, very forgiving type of way to pay for education.
    0:01:53 So if the education doesn’t work, basically, you don’t make payments.
    0:01:58 So at Lambda School, you don’t pay the school anything unless you get a job in the field
    0:02:03 you trained in that pays more than 50K, and if you get that kind of a job, you pay a percentage
    0:02:05 of your income for a couple of years, and that’s it.
    0:02:07 Put this into context for us.
    0:02:11 If ISAs are the future, what’s the big picture potential?
    0:02:15 It just doesn’t make sense for a lot of people to attend college anymore.
    0:02:20 Things have stayed flat basically since the ’80s, and tuition has gone up basically 3X,
    0:02:24 and so that gap is getting bigger and bigger, and it’s more and more risky every day for
    0:02:26 a student to go to college.
    0:02:30 So there are times when a student will enroll in a school when they’re 18, and they’ll pick
    0:02:36 something to study, and when you look at the amount of student debt they’re going to have,
    0:02:40 everybody knows from the school to the person funding the education to the government that
    0:02:44 that person is unlikely to be successful and ever pay back their student loans.
    0:02:50 If you look at most of the student debt, a lot of it is from students who didn’t graduate
    0:02:55 or from students who aren’t making enough, and almost all of the default in student loans
    0:02:57 comes from those categories.
    0:03:00 In the world of an ISA, that doesn’t happen.
    0:03:05 Almost by definition, a student who is unable to make payments on their ISA is much, much
    0:03:09 less likely to happen than a student who can’t make payments on their loans.
    0:03:13 But what it really allows us to do over time is better assess who will end up in the right
    0:03:16 career path, do everything we can to get them there.
    0:03:19 What do you mean when you say get them in the right career path?
    0:03:23 So you walk in on day one knowing that if you don’t get a good job, you’re not paying
    0:03:24 us anything.
    0:03:28 Everything is driven to making you successful in the career path that you may choose.
    0:03:33 It also diversifies risk, and it allows people to do things that they otherwise might not
    0:03:34 have been able to do.
    0:03:38 If you look at education outcomes, especially if it’s vocational schools where the ultimate
    0:03:42 outcome is getting a job, it can be relatively binary.
    0:03:46 You either get a job or you don’t, and when you have those things that have a high variance,
    0:03:50 it can oftentimes feel really risky for the person entering into that, because if they
    0:03:53 don’t get the job, that risk has then been placed on them.
    0:03:57 The way that income share agreements work is they’re taking that risk from the individual
    0:03:59 and putting it on the school.
    0:04:05 Say you have a school with a 75% graduation rate, and then of those graduates, 75% end
    0:04:09 up being successful in the job that they train for.
    0:04:10 Those are not bad rates.
    0:04:14 In fact, most colleges would take those rates any day, but when you look at the tuition
    0:04:20 dollars that are flowing into that school, basically 46% of those tuition dollars are
    0:04:22 coming from people who are unsuccessful.
    0:04:26 So if those people are saddled with loans, there’s no way they’re going to be able to
    0:04:27 pay those off.
    0:04:32 If you’re talking a private student loan, your interest rate could be 10%, 11%, 12%.
    0:04:37 If you’re only making 30%, 40%, 50K a year, you might be financially ruined forever.
    0:04:42 The more income has spread, that then makes the financing education through debt that
    0:04:43 much riskier.
    0:04:46 The winners will win bigger, but the losers will lose bigger.
    0:04:49 And to the extent that that’s financed through debt, that just can become a massive overhang
    0:04:52 on somebody that doesn’t win coming out of that education lottery.
    0:04:56 And one of the important things that economists have realized in the past few years, I mean,
    0:05:00 Kahneman and Tversky, they came up with the notion of behavioral economics.
    0:05:05 It was basically the realization that humans don’t always act in an entirely rational way
    0:05:09 because their downside risk can be so much greater than the upside.
    0:05:14 So ISAs are a way of saying, let’s say you have a 90% chance of your education working
    0:05:19 out and a 10% chance of you being financially ruined for life, a rational person will still
    0:05:21 not play those odds.
    0:05:26 So as a school holds the risk, it now becomes 90% chance that somebody is successful and
    0:05:30 pays back and a 10% chance that you have to eat those losses.
    0:05:34 The school can actually afford the risk in the way that an individual can’t.
    0:05:39 And when an individual is de-risked, they can look for more optimum outcomes and not having
    0:05:42 to weigh in that downside risk is really, really important.
    0:05:47 Are there types of students that ISAs make sense for and don’t make sense for?
    0:05:51 Depending on the terms, I think it makes sense for every student.
    0:05:56 As the ISAs exist today, they’re only slightly more expensive than upfront tuition at most
    0:05:57 schools.
    0:06:03 So you can take the risk and say, I’ll pay $20,000 upfront tuition, or if I’m successful
    0:06:06 and I get a six-figure job, I’ll pay up to $30,000.
    0:06:11 Turns out if you’re successful and you have a six-figure job, that $10,000 delta doesn’t
    0:06:12 feel as bad.
    0:06:16 And you would trade that for, and if I don’t get a job, I don’t pay anything.
    0:06:20 In my ideal world, you only actually pay the school if it’s less than the increase in
    0:06:21 your income.
    0:06:24 The place where maybe the jury’s still out, or we’re still trying to figure out whether
    0:06:29 the economics work is places where there’s much lower variance, is traditional finance
    0:06:33 theory would say that’s a place where you should take out debt rather than some other form
    0:06:34 of financing.
    0:06:37 And so in those instances, which to a certain extent is kind of what college looked like
    0:06:42 in the 1950s and ’60s, and that it was much more predictable, and debt was the natural
    0:06:45 financial instrument to use then at that point.
    0:06:48 But now that we’re at a place where the risk is so much higher, the outcomes are so much
    0:06:51 more distributed, income share agreements are having this moment now, because that’s
    0:06:55 the kind of population that it really makes sense for.
    0:07:00 But I do think it does come back to what is the upside risk, what is the downside risk.
    0:07:05 This may not be the perfect example, but say an NBA athlete or someone where if you’re
    0:07:10 successful, the upside is millions and millions and millions of dollars, and you could de-risk
    0:07:17 that by saying, “Okay, an ISA will pay me 100K for life in exchange for if I’m wildly
    0:07:20 successful, I’ll give up 10% of my income.”
    0:07:26 And you can use the high potential for upside risk to de-risk it for people and cover the
    0:07:27 downside risk.
    0:07:30 That’s the kind of financial engineering that I find fascinating.
    0:07:32 The easiest way to think about it is just its insurance.
    0:07:38 You’re saying, “If something really bad happens, I’m not going to be in really dire straits.”
    0:07:43 Insurance is a really good way to think of it, and that’s the instrument we use in similar
    0:07:50 scenarios where, “Okay, I’ll pay $100 a month, and I don’t love paying $100 a month.
    0:07:55 But if someone wrecks my car and I now owe $20,000 to get a new car, I would like to
    0:07:57 not have to pay that, because I can’t afford to.”
    0:08:02 For the most people, when you’re talking houses and cars and potential really high
    0:08:06 downside risk volatility, it makes more sense to de-risk yourself.
    0:08:10 Let’s say you’re right in income to share agreements become more common.
    0:08:13 How might that actually shape education?
    0:08:18 So what I hope will happen is you can drive the effective price of studying something
    0:08:20 that is likely to pay well down.
    0:08:25 What I really think is missing in the economy is something that will tell you, “Hey, based
    0:08:30 on who you are and what you know, and your talents and proclivities, here is the best
    0:08:33 place for you in the economy, and we’re going to help you get there.”
    0:08:37 I would imagine that the vast majority of the population could actually end up in a
    0:08:41 better place than they are today if they only had any idea what opportunities are available
    0:08:43 to them.
    0:08:45 Universities don’t really serve that function today.
    0:08:49 When you show up at the front door, they’re not handing you a book that says, “Here are
    0:08:53 the best majors for you to choose,” and if they did that, then the professors would lose
    0:08:54 their minds.
    0:08:58 So I hope that it becomes more transparent when you’re a student.
    0:09:06 And I think about our economy of human labor being the majority of GDP, 52%, 53% of GDP,
    0:09:10 and completely unoptimized, and that’s insane.
    0:09:14 Where our biggest asset class that exists, what most of us spend most of our waking hours
    0:09:18 do, is not optimized at all.
    0:09:23 Education as it is today is this kind of bundled value proposition where it is skills training,
    0:09:26 it’s career development, it’s also networking.
    0:09:31 What ISAs are really good at doing is they will kind of debundle that, and they will
    0:09:37 atomize the different parts of education and take this part around kind of skills development,
    0:09:42 training the ability to focus on optimizing and maximizing your long-term income, and
    0:09:48 it will make really clear which programs or institutions are optimizing for that.
    0:09:53 I think it’s insane that if, for example, there’s a factory that goes out of business
    0:09:58 in Detroit, there are all these people that are unemployed, and even if there is huge
    0:10:02 demand in other parts of the economy that those people could do, there’s nothing that
    0:10:03 matches those two.
    0:10:08 There’s nothing that will take an unemployed factory worker in Detroit and get them, even
    0:10:12 if there’s a company next door that desperately needs something, there’s no bridge between
    0:10:13 those two.
    0:10:19 So at a higher scale, I hope ISAs will enable a broader economic clearinghouse where we
    0:10:22 can move people to where they’re most valuable in the economy, where they’re happier, where
    0:10:26 they’re paid more, and eliminate the friction of doing that.
    0:10:31 I think it’s probably the biggest barrier to economic progress that exists today.
    0:10:36 Assuming you have this ecosystem that’s built on top of ISAs, then you will have this much
    0:10:40 more efficient system that can move people in and out of the workforce and retrain and
    0:10:41 reskill people much more quickly.
    0:10:47 A critique of ISAs is people say graduates with high salaries might end up paying more
    0:10:49 under an ISA than say a traditional student loan program.
    0:10:54 Yeah, it’s a trade-off that you have to make for sure, but we offer both upfront tuition
    0:11:00 and an ISA, and 98%, 99% of our students pick the ISA.
    0:11:04 Because in the scenario where you are paying a little bit more, you’re fine, and you’re
    0:11:08 making enough money that it’s not a big deal, and frankly, for us, you only pay it for a
    0:11:09 couple of years.
    0:11:16 So it’s actually not a big delta relative to if you had $20,000 on the line and you
    0:11:20 have no idea whether it’s going to work out and you owe interest on it no matter what.
    0:11:23 Yeah, you might end up having to pay a little bit more than you would if you just paid straight
    0:11:28 up, but you’re getting the psychological ease of not potentially having that debt hanging
    0:11:29 over you.
    0:11:30 Most ISAs are capped.
    0:11:34 So no matter if you’re making gazillions of dollars, there is a maximum amount you will
    0:11:39 pay whether it’s like $20,000 or $30,000 or $40,000 over the lifetime of an ISA, you’ll
    0:11:41 only pay X amount of money.
    0:11:46 You’re paying for risk protection on the downside, which can have a bunch of knock-on effects
    0:11:50 in terms of how you think about your lifetime earnings.
    0:11:53 If you’re able to not only take the risk of going to school or going back to school or
    0:11:57 taking time away from the workforce, but also thinking about your career over a longer time
    0:12:02 horizon because you don’t necessarily have to service debt immediately upon graduation,
    0:12:04 that’s one thing that can actually change the dynamics of a career.
    0:12:10 Yeah, one of the instances that’s been most fascinating to watch is if, for example, you
    0:12:15 took out a loan to pay Lambda School, the loan payments start becoming due immediately
    0:12:16 upon graduation.
    0:12:21 So we’ve seen circumstances a couple of weeks ago where a student got a job offer for $70,000
    0:12:24 and he was saying, “Okay, that’s not a bad job offer.
    0:12:28 I can take that,” and we thought he could do a little bit better.
    0:12:32 So you might want to turn that down and keep looking at the market because based on what
    0:12:35 we’re seeing, we think you could get more.
    0:12:39 If you have a debt payment that’s about to come in, you take that $70,000 offer because
    0:12:40 you have to make those payments.
    0:12:43 In this circumstance, he waited a couple of months.
    0:12:49 We waited longer to get paid, but this particular student ended up getting a job for $240,000.
    0:12:54 So a massive, massive difference in income just because he had the psychological ability
    0:13:00 to wait a little bit and to pick the actual optimum outcome for him as opposed to optimizing
    0:13:04 for, “I’ve got these payments that I need to make that are going to be due no matter
    0:13:06 what my life looks like.”
    0:13:07 The financial ability to do that too.
    0:13:12 It’s psychological and financially, it’s freed him or her to make that better decision.
    0:13:17 We all know these people that graduate from university, they take the job in investment
    0:13:20 banking or something that’s going to give them a high cash component for three years
    0:13:23 because they want to pay off their student debt, and then at that point, they’re going
    0:13:24 to go do what they really want to do.
    0:13:29 That’s this common thing that you see amongst graduates all over the US, and income share
    0:13:35 agreements can mitigate that and it can change the immediate incentives you have upon graduation.
    0:13:39 We’re seeing those incentives play out at a broad scale.
    0:13:44 People are starting families later, they’re not buying houses, they’re not starting businesses.
    0:13:47 My combinator is trying to do a study right now that determines how many people would
    0:13:50 be starting businesses if they didn’t have student debt.
    0:13:55 If you have $1,000 a month in debt payments, it becomes really difficult to start a company.
    0:13:59 So you’re saying the impact of ISAs may extend beyond the issue of student debt.
    0:14:04 I think a lot of the reason that people get excited about ISAs is because of the second
    0:14:05 and third level effects of it.
    0:14:10 The ISAs are like the building blocks, but then you do need this robust ecosystem built
    0:14:11 on top of it.
    0:14:14 I think we’re in the early days of building that ecosystem right now.
    0:14:16 What else is in the ecosystem?
    0:14:21 If you think about ISAs broadly, there’s places where you can use ISAs beyond skills training.
    0:14:25 You can think about it as I can move you from place A to place B and pay for that and take
    0:14:30 those upfront costs and then take an income share agreement on the back end and that’s
    0:14:31 the way to finance that.
    0:14:35 Right now, mentorship exists in this informal, nice people do it type thing, but you can
    0:14:37 think of a way where that gets much more formalized.
    0:14:41 There’s tons of value propositions that can be layered on top of income share agreements
    0:14:43 that I think people get very, very excited about.
    0:14:49 I’ve seen things go as far as an ISA for immigration, where we’ll pay for all of your
    0:14:54 legal fees, we’ll do everything that we can, and then if you end up in a certain country
    0:14:58 where you’re making way more money, you pay a percentage of income for a few years.
    0:15:02 But net is going to be more than you were making wherever you were and you can create
    0:15:03 a new life.
    0:15:08 The design of it is so important, you really have to consider the details when structuring
    0:15:09 it.
    0:15:11 You’re 100% right that the devil’s in the details.
    0:15:15 In theory, you could make an ISA that makes a lot of sense or you can make an ISA that
    0:15:18 makes no sense whatsoever.
    0:15:25 My hope is that Azure is more competition in the ISA space and as there becomes better
    0:15:30 regulation, more regulatory guidelines, more repayment history on these things, we can
    0:15:33 start to figure out what the optimum rate is.
    0:15:36 Right now, it’s a little bit up in the air.
    0:15:40 When we started, we were basically guessing about what repayment rates would be, and we
    0:15:44 created terms that made sense in this imaginary model.
    0:15:48 A loan has a par value, it has an interest rate.
    0:15:53 You know what payments are going to be coming in every month, and then if they don’t come
    0:15:57 in, then you call that a default and you report it to the credit bureau.
    0:16:02 With an ISA, there are times when a payment is not coming in and that’s okay because it’s
    0:16:04 built into the agreement itself.
    0:16:06 In an ISA world, that’s actually not a default.
    0:16:10 That may be exactly what the instrument intended for.
    0:16:15 The entire ISA market today is maybe a couple hundred million dollars a year.
    0:16:19 It’s not big relative to basically any other asset class, whereas student loans are in
    0:16:21 the trillions.
    0:16:26 You bring up a good point in that ISAs, though they’re getting a lot of buzz in politics
    0:16:31 and in the media, are still a relatively small percentage of schools that are actually pursuing
    0:16:32 this.
    0:16:34 Why aren’t they gaining more traction?
    0:16:39 As a school, today you will make less money with an ISA than you will with a loan.
    0:16:45 The way the ISAs are structured today, if my upfront tuition is $20,000, I’m actually
    0:16:50 not planning to make $20,000 on average from an ISA, and I might have to wait a couple
    0:16:52 of years for that to happen.
    0:16:57 It’s actually a worse deal for the school in many cases, but the important flip side
    0:17:04 of that is it opens up access to students who wouldn’t otherwise be your students.
    0:17:10 Lambda school is based on saying, “What if we increase accessibility to the point where
    0:17:13 basically anybody with a laptop can attend?”
    0:17:17 Now there are millions and millions of people who wouldn’t be willing to take the risk
    0:17:22 upon their own financial future to go to a code school, and we say, “Try it out.
    0:17:24 See if it works for you.”
    0:17:27 If it works for you, you’re going to pay us back, but you have a great job now, so it
    0:17:29 all works out.
    0:17:35 But the cost of capital is high enough, and they’re different enough from loans that you
    0:17:39 on average expect to make less.
    0:17:42 The reason that so few schools are doing it is because you really have to design the
    0:17:45 school around making that work.
    0:17:52 Do you think then that ISAs work well for vocational schools and coding schools, but
    0:17:55 the jury’s still out on more traditional higher education?
    0:18:00 One of the ways they’re being used in traditional universities, which is interesting, is as a
    0:18:03 tool to help people stay in school.
    0:18:07 The biggest problem that all the universities deal with is retention, retention, retention.
    0:18:11 A university looks at how much financial aid they have.
    0:18:14 Some is from the government, some is internally.
    0:18:17 And you can pretty well identify the students that are going to need that student aid or
    0:18:19 they’re going to drop out.
    0:18:25 That student aid is not enough to cover everybody, so they’re people who it’s basically either
    0:18:29 they’re going to drop out of a university or you’re going to give them an ISA.
    0:18:35 So even if you don’t get full tuition value dollar on the dollar, it’s better to have
    0:18:39 those students pay you maybe it’s 90 cents on the dollar, maybe it’s 75 cents on the
    0:18:42 dollar to allow them to not drop out.
    0:18:46 Obviously, that approach is different than a vocational school like ours that is built
    0:18:49 in such a way that you don’t pay unless you get a job.
    0:18:53 There’s a bunch of things probably throttling the ISA market right now.
    0:18:56 I think regulatory uncertainty is probably one of those.
    0:19:01 The investor side likes to invest based off of data and they like to invest into things
    0:19:02 that are very predictable.
    0:19:06 The nature of ISAs is that they just take years and years and years to really build out that
    0:19:07 data set.
    0:19:13 So I think the nature of ISAs is just something where it’s destined to grow relatively slowly
    0:19:16 just because the capital markets don’t unlock without predictability.
    0:19:22 Not to mention the fact that if you’re a university, your COGS are so high that you can’t create
    0:19:25 an ISA with a two-year repayment window.
    0:19:30 They’re all eight years, 15 years, so that’s going to take a very long time to know what
    0:19:32 the repayment predictability is like.
    0:19:36 So the number one thing holding us back from creating a bigger data set is they’re just
    0:19:41 fundamentally aren’t enough ISAs to get the capital in so you can watch the data roll through.
    0:19:45 If you look at the history of lending, it was very similar.
    0:19:47 Nobody knew what the right interest rate would be.
    0:19:53 Nobody knew how to securitize loans and turn them into a bond and start selling them.
    0:19:58 Today, there are trillions of dollars that are looking for returns, but they have to
    0:20:03 be very, very sure returns before you’ll put those trillions of dollars in.
    0:20:08 So our hope is that we can make that data happen faster and bring down the risk faster.
    0:20:12 Can you bring up an interesting point in that ISAs, they’re very buzzy right now, are not
    0:20:14 a new concept.
    0:20:19 People have tried this before, maybe failed, what are you doing differently?
    0:20:24 The most popular experiment with ISAs was done by Yale in the ’70s.
    0:20:28 And they did it in a very interesting way, which was they said, “Okay, this class will
    0:20:34 cost us $10 in tuition and everybody’s going to pay a percentage of their income until
    0:20:39 we’ve reached that amount plus a little bit of interest,” but it was as a pool, not as
    0:20:40 an individual.
    0:20:45 And it was very explicitly, “Once we’ve hit that amount, then everybody’s done,” not
    0:20:46 an individual ISA with a cap.
    0:20:53 It was the cap for a class, which feels much worse if you’re a high earner.
    0:20:55 And so that actually didn’t work.
    0:20:59 Importantly, they also gave people the opportunity to buy out early.
    0:21:02 So not only did they structure it as a class, and there was this rate of return that the
    0:21:07 class had to hit as a cohort, but also they gave people the ability to pay, I think it
    0:21:13 was like 150% of the cost of their tuition, so the people who would have been the really
    0:21:16 big earners later on in life had the ability to buy out early.
    0:21:19 And then obviously, people who weren’t doing well were paying a smaller percentage of their
    0:21:23 income, so it really got burdened on this middle class experiment.
    0:21:27 And so I think the lesson from the Yale experiment, which I think is the lesson of all ISAs in
    0:21:30 general, is that design is really, really, really important.
    0:21:31 All financial instruments in general.
    0:21:32 Yeah, exactly.
    0:21:36 It’s like, are you giving people the option to opt in or opt out, and when is that happening,
    0:21:38 and how is that creating ad for selection in your pool?
    0:21:41 How is that changing everybody else’s burden?
    0:21:42 These things matter a lot.
    0:21:47 And so I think ISAs are extremely exciting, the conceptual level, but I think also whether
    0:21:52 it’s the Yale experiment or there was a series of companies in the 2000s and the early 2010s
    0:21:57 that came and went and they were using ISAs, but they didn’t get those details right.
    0:22:04 I think another big difference between ISAs today versus ISAs in the early 2010s and in
    0:22:11 the past is most of the ISAs today are used in vehicles that are meant to shift your income.
    0:22:17 Sometimes referred to ISAs is like selling an out-of-the-money call option against yourself.
    0:22:21 So you’ll pay, but only in a circumstance where your income changes so much that you
    0:22:23 don’t care.
    0:22:27 In the past when it’s just been, hey, anybody can get an ISA, there’s the selection bias
    0:22:32 of why would I take out an ISA if I can take out a loan?
    0:22:36 But when tied to an educational institution, the reason you take out an ISA as opposed
    0:22:41 to a loan is because the institution is promising to shift your income or you don’t pay, which
    0:22:47 is very different than just a raw ISA to pay for a car repair or something like that.
    0:22:51 They’re not lending you dollars, they’re lending dollars to a school that’s going to
    0:22:52 shift your income.
    0:22:57 Which is one of the things that was new about this generation of income share agreements
    0:22:59 that didn’t exist in the previous generations.
    0:23:02 So I want to get into the political spectrum a little bit.
    0:23:07 So the student debt crisis is something that has gotten a lot of attention in the media,
    0:23:10 particularly leading up to the upcoming election.
    0:23:15 In June, the members of Congress sent this letter to Secretary of Education that read,
    0:23:20 in part, ISAs carry many common pitfalls of traditional private student loans with the
    0:23:24 added danger of deceptive rhetoric and marketing that obscure their true nature.
    0:23:25 What would you say to skeptics?
    0:23:31 A world of ISAs I think would be demonstrably better net net than a world of the existing
    0:23:32 student loan arrangement.
    0:23:38 I’ve spent a lot of time on Capitol Hill talking to Congress, Congress people and senators
    0:23:40 on both sides of the aisle.
    0:23:45 And what I’ve generally found is just a lack of understanding and a curiosity and kind
    0:23:50 of just a fear and skepticism that’s probably healthy of, hey, there’s this new financial
    0:23:55 instrument and one of the reasons we’re pushing so hard for regulation in the space is because
    0:24:00 it’s not hard to imagine an ISA that would be predatory, right?
    0:24:06 The same way if there were no lending regulations, there are a million different ways that you
    0:24:07 could abuse loans.
    0:24:12 You could say, this loan has a 9,000% interest rate, but you get your car today.
    0:24:14 That’s not a win for anybody.
    0:24:19 So I haven’t seen anybody abusing ISAs, but I think politicians are skeptical.
    0:24:22 What the Department of Education is saying is let’s look at this deeper.
    0:24:28 So similarly, we still at the federal level haven’t seen that data yet.
    0:24:29 We haven’t seen what the returns are like.
    0:24:32 We haven’t seen what will happen to student repayment.
    0:24:35 We haven’t seen what the burden is like.
    0:24:40 We haven’t even created rates as the federal government for what ISA repayment ought to
    0:24:41 be.
    0:24:44 So I think it makes sense that there’s skepticism.
    0:24:47 Let’s say someone completely wipes out existing student debt.
    0:24:50 Does that affect the outlook for ISAs at all?
    0:24:54 Well, if you wipe out the existing student debt based on the way we’re pacing, we’ll
    0:24:58 be basically where we are today in about 10 years.
    0:24:59 That’s depressing.
    0:25:05 So you can wipe out the student debt, but the bigger question is who pays for the education
    0:25:07 and how?
    0:25:12 And is it just the federal government will now make all university tuition free?
    0:25:13 Which I suppose is an option.
    0:25:15 I’d be shocked, but that’s an option.
    0:25:18 Even in that world, there’s still probably a place for ISAs.
    0:25:22 I’m from Canada and healthcare is free, but there’s still four fee medical service.
    0:25:25 One of the things that’s really interesting is one of our bigger markets right now is
    0:25:26 in the EU.
    0:25:30 And in a lot of countries, there’s free education, but it takes a long time.
    0:25:31 It’s low quality.
    0:25:35 And a lot of our students are saying, even though I have the opportunity to go to college
    0:25:40 for free, Lambda School is still providing a better return because it gets me the things
    0:25:41 that I need.
    0:25:47 Getting into the career faster and our ISA in the EU is 10% for four years.
    0:25:53 And so we can make everybody’s income, I think, 10% higher than it would be at a university
    0:25:55 over the same lifetime.
    0:25:58 It makes sense that even if there’s a free option, there would be a premium option that
    0:26:01 would exist that would attract a certain segment of the population.
    0:26:05 The fact that you’re offering an ISA is a signal that we believe we can fundamentally
    0:26:09 change your outcome in a way that’s a delta to the free system, right?
    0:26:11 Could there then be unintended consequences?
    0:26:18 To the extent that ISAs become dominant majority exclusive way to finance education, the entire
    0:26:23 education system then will reorient itself around this idea of maximizing future income,
    0:26:26 which for a lot of students, that is what they want.
    0:26:29 For some students, that is not what they want.
    0:26:34 And so you would have these knock on secondary effects of income is the thing we can measure.
    0:26:38 It’s the thing we can optimize against with this financial instrument.
    0:26:44 There’s all kinds of other value being created within the current educational system and
    0:26:50 where and how those things would slot into this new different world of exclusively ISAs
    0:26:51 is an open question.
    0:26:56 So I think when we talk about secondary effects of this world, I think that is probably one
    0:26:57 that is worth paying attention to.
    0:26:58 Agreed.
    0:27:00 We talked about immigration earlier.
    0:27:03 Is there potential for this model to play out in fields beyond education?
    0:27:08 I think about the excitement around ISAs and education is one big piece of it.
    0:27:14 The idea of extending it out into other layers of the educational sphere is exciting, but
    0:27:16 more unproven.
    0:27:18 And then you trace it out farther and farther and farther.
    0:27:22 And you have this version where you can be using ISAs for all these other things.
    0:27:27 So whether it’s immigration, whether it’s diversifying risk amongst athletes and artists,
    0:27:29 which is another use case that people are talking about.
    0:27:32 You can also think about how that plays out in larger and larger contexts.
    0:27:38 Where IPOing cars or IPOing pieces of art, there is this trend towards more and more
    0:27:40 securitization of different types of assets.
    0:27:45 And so it makes sense that the ability to finance advancements in human capital would
    0:27:47 naturally tend towards some version of that.
    0:27:49 Well, thank you so much for joining us.
    0:27:50 Yeah.
    0:27:51 Thanks for having me.

    A bold proposal: You go to college for free, then pay back the school after graduation—but only if you get a job in your field of study and make a high enough salary to afford it. It’s called an income share agreement, and Austen Allred, the CEO and cofounder of Lambda School, thinks it’s the future of education.

    Student debt currently stands at more than 1.5 trillion dollars, which makes it the second-highest consumer debt category behind mortgage debt. The crisis has saddled much of a generation, with far reaching effects. Income share agreements, or ISAs, have been put forth as an alternative to the current system. Put simply, an ISA is an agreement between a school and a student for the student to pay a defined percentage of income to the school, for a particular period of time, up to a certain cap. It’s a seemingly simple conceit with complex design considerations, and it’s spurring debate across media and politics.

    In this episode, Lambda School CEO Austen Allred, a16z general partner D’Arcy Coolican, and a16z editorial partner Lauren Murrow delve into the greater implications ISAs may have for education and the economy. The discussion covers both the promise and the challenges of ISAs—why they’ve been relatively slow to gain traction, why they’ve failed in the past, and why some in the political sphere are still skeptical.

  • #31 – The Wild Wild West of Mineral Real Estate

    Mike Brown is my new hero. He’s an ex military man, who came back & built a super lean business (5 employees and 10’s of millions in revenue annually) – hired best friends and brothers to share the experience. Mike Brown (@mb_abides) and his gang went on a mission to buy small pieces of real estate from hundreds of families because they were potentially (and quite literally) sitting on a gold mine. They’d then package them up and sell it to the big oil & gas funds – which meant tens of millions of dollars for them. The business part is good – but I love the philosophical and practical advice around optimizing for quality of life. Let me know what you think! Puri.shaan@gmail.com 

    See acast.com/privacy for privacy and opt-out information.

  • Stephen Wolfram: Physicist and Youngest MacArthur Award Winner

    Have you ever wondered what it’s like to get a PhD in Physics at twenty and win a MacArthur Award at 21? You’ll get to find out with this episode’s interview of Remarkable People with Stephen Wolfram. Saying he is a “physicist” is like saying Labron James is a “basketball player.” If you’re a math geek, you’ve probably used a product he created called Mathematica. He’s also built a knowledge engine called Wolfram Alpha that you have used in Siri, Alexa, Bing, or DuckDuckGo.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  • Michael Stevens: Vsauce

    Michael Stevens is the creator of Vsauce, one of the most popular educational YouTube channel in the world, with over 15 million subscribers and over 1.7 billion views. His videos often ask and answer questions that are both profound and entertaining, spanning topics from physics to psychology. As part of his channel he created 3 seasons of Mind Field, a series that explored human behavior.

    This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts or support it on Patreon.

    This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”. 

    Episode links:
    Vsauce YouTube: https://www.youtube.com/Vsauce
    Vsauce Twitter: https://twitter.com/tweetsauce
    Vsauce Instagram: https://www.instagram.com/electricpants/

    Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    00:00 – Introduction
    02:26 – Psychology
    03:59 – Consciousness
    06:55 – Free will
    07:55 – Perception vs reality
    09:59 – Simulation
    11:32 – Science
    16:24 – Flat earth
    27:04 – Artificial Intelligence
    30:14 – Existential threats
    38:03 – Elon Musk and the responsibility of having a large following
    43:05 – YouTube algorithm
    52:41 – Mortality and the meaning of life

  • Shonda Rhimes on How to Create Stories (and Products) People Want

    AI transcript
    0:00:06 Hi everyone, welcome to the A6NZ podcast. I’m Sonal. Today’s episode, which was originally recorded
    0:00:14 at our most recent annual Innovation Summit in Los Angeles, features A6NZ co-founder Mark Andresen
    0:00:19 interviewing prolific writer and executive producer Shonda Rhimes, who will also premiere
    0:00:24 new content on Netflix along with an original slate of podcasts in 2020. So very fitting to
    0:00:29 be sharing that here. The episode that follows covers the challenges all creative founders face,
    0:00:33 whether for Hollywood show business or Silicon Valley tech companies or elsewhere,
    0:00:38 from scaling themselves beyond one person to figuring out how and when to use data or follow
    0:00:43 their intuition and much, much more. Hey everybody, thank you all for being here today.
    0:00:47 Shonda, thank you so much for doing this. Thank you for asking. We know you live a fairly busy
    0:00:52 life. And so it’s a big deal to get here tonight. We’re just thrilled to talk to you. So I’d like
    0:00:57 to start with a show of hands. How many people in this audience have seen the TV show, a little
    0:01:02 independent TV show on a little obscure network called Grey’s Anatomy. Is that right? Keep the
    0:01:06 hands up. Let’s keep the hands up. And then who on top of that, who has seen the TV show scandal?
    0:01:11 And then on top of that, let’s put up for how to get rid of murder. There we go. I see two hands
    0:01:16 up in the front. Fantastic. I’m a little concerned. I know who that is and the fact that she’s seen
    0:01:27 that show makes me a little nervous. So I’d like to start by quoting Ted Talk. So in your words,
    0:01:30 I think how you actually introduced yourself and described what you do in a Ted Talk a few years
    0:01:38 back. So quote, three shows in production at a time, sometimes four. The budget for one episode
    0:01:44 of network television can be anywhere from three to six million dollars, let’s say five. A new episode
    0:01:48 made every nine days times four shows. So every nine days, that’s 20 million dollars worth of
    0:01:54 television. Four television programs, 70 hours of TV, three shows in production at a time, sometimes
    0:01:58 four, 16 episodes going on at all times, three hundred and fifty million dollars a season in
    0:02:03 budget. My television shows are back to back to back on Thursday night all around the world. My
    0:02:10 show’s air in 256 territories and 67 languages for an audience of 30 million people. I think this
    0:02:17 gives us some stuff to talk about. So this is a conference about builders, about builders, about
    0:02:20 people who build things, people who create things, people who create products, people who create
    0:02:26 companies, create experiences. In Silicon Valley, when we talk about the building process, we talk
    0:02:31 about it in two phases. Going from what we call zero to one, which is creating something from
    0:02:35 scratch for the first time. And then we talk about the process of going from one to N, right,
    0:02:42 doing that thing then repeatedly, which is a whole other challenge. So I’d love to talk about
    0:02:48 both parts of that in your career. And so the zero to one part is how do you go from having no
    0:02:54 shows on network television to having one show on network television? That is the lightning in a
    0:03:02 bottle thing. It’s having the idea that sparks something for somebody that nobody else has had,
    0:03:08 that you don’t know is going to work, and you’re working your tail off day in and day out. It’s
    0:03:13 making the pitch, it’s getting in the room, and then it’s doing the work and hoping it works.
    0:03:20 And as somebody who had never had any experience in television before, it’s hard for me to say
    0:03:27 how it doesn’t work, which is an odd thing. For a lot of people, they started as a staff writer,
    0:03:30 and they worked their way up, they worked their way through the business, and then they get their
    0:03:37 own show. I had been writing movies, and I thought I’d like to write a television show, and I wrote
    0:03:44 Grey’s Anatomy. It really did work that way, and so I went from zero to 60 very quickly, which was
    0:03:48 terrifying. What was the process, and I should describe the audience, we’ll talk about this more
    0:03:53 later, but you did work in film. My favorite credit on your IMDB is that you know which one I’m
    0:03:58 going to say, right? In fact, the screenwriter for the Britney Spears highlight movie Crossroads.
    0:04:06 If you have a teenage daughter, she’s seen it. Absolutely, a hundred percent, and maybe if you
    0:04:13 haven’t. So you had worked in film, you were successful in film, you had credits and so forth,
    0:04:18 you had projects made. What was the process of going from that to being in the room pitching
    0:04:25 Grey’s Anatomy? How did that work? Basically, I had a child, and I was stuck at home suddenly,
    0:04:29 because when you have a child, you cannot leave your house. And I started watching television,
    0:04:34 which I hadn’t really been doing before, and realized that all of the really great character
    0:04:38 development that I had been really wishing for in movies was happening on television. I watched
    0:04:46 24 hours or 24 in 24 hours, like it was that fast, and thought like, wow, this is interesting. And so
    0:04:52 really went to my agents and said, can I have a chance at doing this? And went to the meetings,
    0:04:57 started thinking up ideas, started pitching, did the work of research, figuring out what was going
    0:05:03 to work, pitched an idea, didn’t have that one go, pitched another idea, I think I pitched maybe
    0:05:10 three ideas, and they said, sure, do this one. And medical dramas obviously have been a staple
    0:05:14 of television for a long time, and there have been many famous ones, well-regarded ones.
    0:05:20 What was it about the idea of a medical drama that you felt like it was sort of a pre-established
    0:05:23 concept at the generic level, but something that you could make special? Well, there were two things.
    0:05:30 One, I had done these ideas, and I’d pitched them, and they hadn’t worked, and it hadn’t worked,
    0:05:36 and so I said, well, what does Bob Iger want? Because, really, know what your customer wants.
    0:05:40 And this is literally Bob Iger. This is ABC. This is ABC. It’s literally Bob Iger, literally Bob Iger.
    0:05:44 Literally what does Bob Iger want? And they said he really wants a medical show, and I thought,
    0:05:49 okay. So, one, it was about that. I really wanted to make something that they wanted.
    0:05:56 And then it was about making something that I wanted to see. I was an audience that I knew,
    0:06:00 if I made something I wanted to see, I was going to be passionate about it. And so I started talking
    0:06:05 to young female surgical residents about what their lives were like, and I’d been watching all
    0:06:09 those weird surgery shows that used to be on TLC where they would remove giant tumors from people,
    0:06:14 and I thought that was super interesting, and melding those two ideas really came together.
    0:06:18 I was a woman. I was interested in surgery. I had the idea of surgery. Why would I be writing
    0:06:25 about a dude? Like, it didn’t make any sense to me. It felt like it made sense to me to write
    0:06:29 about, you know, young people entering this new profession and to make it a woman, and then to
    0:06:34 make it a bunch of different kinds of people. Okay, so then obviously, a great synonymy,
    0:06:38 they bought it very well. It’s still on the air, season 16 on the air.
    0:06:43 We just shot a 350th episode. Not that many shows make it to 16 seasons?
    0:06:51 Yes, not very many at all. Gun smoke? Yeah, mash. Mash? Yeah, great synonymy. So not bad. So,
    0:06:54 okay, so for a lot of people, that would have been obvious. That was a big success for a lot of
    0:06:57 people that would have been a career defining success, and maybe the definition of somebody’s
    0:07:02 career. How did you make the decision to go from having one show on the air to over time having
    0:07:06 two and then three, and then ultimately even larger number? I used to jokingly say I want to
    0:07:11 take over the world through television, and it, I’ll be honest in this room, it was not a joke
    0:07:14 for me. I really thought like I want to take over the world through television, like if I’m going
    0:07:19 to do something, I’m going to be really good at it. And that had been my first show, so it felt
    0:07:24 like a fluke, and I didn’t want it to feel like a fluke to me. So I wanted to do more. But also,
    0:07:30 it was this feeling of, you know, in the beginning, you made a show and it had gone for one season
    0:07:34 or two seasons, three seasons. I thought, well, we could get canceled at any minute. This could go
    0:07:40 away at any second. I need a second line. So it really was about finding like another show just
    0:07:46 in case. It was, you know, that thing of like, keep something else going. Right. And so I would
    0:07:50 imagine you were flat out working on Greys at the time. How do you kind of then create for yourself,
    0:07:54 for yourself at the time, but then also the organization around you to be able to then do
    0:07:59 more than one? In the beginning, it was about like overworking myself almost to the point of
    0:08:04 full out exhaustion, not really understanding what needed to be done. And then it really was
    0:08:08 figuring out how to build the infrastructure. You know, how non writing, producing partner,
    0:08:12 which was really helpful. Then it was taking the people who I’d worked with for a long enough time
    0:08:18 and, you know, spreading them out to understand like you guys go be where I can’t be because I
    0:08:24 already trust you and getting the talent pool large enough and training people enough to the
    0:08:30 way I thought so that if I wasn’t there looking, they were and trusting people. You have to,
    0:08:34 you cannot do a job like that if you don’t trust the people around you. Otherwise,
    0:08:37 you’re going to be trying to do everything and that’s going to flatten you very quickly.
    0:08:42 Right. So a lot of people who have one hit do try to create production companies and they do
    0:08:46 try to scale like that. Most of them aren’t able to do it. I think a lot of people are able to
    0:08:51 do it if other people are the creators. You know, if you have other creators, it’s a lot easier
    0:08:55 because it’s not all on you. For me, I had Grey’s Anatomy, Private Practice and Scandal all going
    0:09:01 at the same time for a while and that was brutal. Right. Today you have how many shows on the air
    0:09:07 in total? And in production? I think we have five shows in production right now. Could you maybe
    0:09:11 walk us through a day in the life? You know, now I have a company that has, I think there are 38 of
    0:09:17 us or maybe 40 of us working at my company. I now have a full scale basically mini studio with
    0:09:21 the head of production, a head of post production, a head of content, a head of digital content,
    0:09:26 a head of branding. So we have like this great group of people. So for me, it’s about coming in.
    0:09:30 I have an executive team. I have a leadership team. It’s about talking to everybody and finding out
    0:09:35 what’s going on. It gives me time to then go spend in my writer’s room with my writers
    0:09:39 to get my creative work done because honestly, that’s what Netflix is paying me for.
    0:09:44 And then to get all the creative work done and then I can talk to the other creators of the other
    0:09:48 shows that we’re doing and give them what they need. But sometimes it’s just mentorship. Sometimes
    0:09:52 it’s just listening to them rant about things. Sometimes it’s just telling them they’re doing
    0:10:00 a job and deal with actors or networks or whatever needs to be done. And then it’s about sort of
    0:10:03 coming together with everybody at the end of the day, figuring out what needs to be done. A lot of
    0:10:09 what I do is listening to the problem-solving that everybody else is doing for me. My head of
    0:10:14 production will say, “I did this and it saved $20 million from this,” or my head of content will
    0:10:19 say, “This was a nightmare, but it’s already taken care of. We’ve all worked together for so long at
    0:10:26 this point.” Everybody’s a very well-oiled machine. So let’s say I’m a newly-mented graduate of, let’s
    0:10:30 say, USC Film School or do a top-end program like that. Let’s say I want to come work for you and be
    0:10:35 part of this machine. I want to be number 41. What would I have to do to establish myself to the
    0:10:41 level that you would take a chance on me to be part of this? I like really interesting, hard-working
    0:10:50 people. For me, it’s not about pedigree or any of that. It’s about output. What have you done?
    0:10:56 What have you done that’s creative? How pull yourself up by your bootstraps? Have you been?
    0:11:00 We have a wonderful girl who works for us who, she doesn’t have a car, and so she has to Uber
    0:11:05 everywhere she goes, which is, you know, in LA is like a nightmare, and part of her job is like
    0:11:09 going to a million different places, I should say. But she is such a hard, amazing working person.
    0:11:13 I was like, “You know, we hire anyway. It doesn’t matter. We’re going to figure out how to make that
    0:11:18 work,” and we did. So to me, it’s about people who are passionate about what they do, who are going
    0:11:23 to sort of eat, sleep, and breathe it. I also like people who know how to have a life outside,
    0:11:27 because the more creative you can be on the outside, the more you bring to the inside.
    0:11:32 And then, I suppose I’ve been working for you for three, four, five, six years,
    0:11:35 and I poked my head up and I said, “Boy, I have an idea for a show I’d like to make,
    0:11:39 and I’d like to make it under your umbrella.” What do I have to do to get to that level?
    0:11:44 Well, that happens all the time. So the show we’re doing right now, called Bridgerton,
    0:11:47 which is being made by Chris Van Dusen. Chris was my assistant on Grey’s Anatomy.
    0:11:54 He’s making a show. Pete Nowak, who does How to Get With Murder, he was a baby writer on
    0:11:58 private practice, I think, and Grey’s Anatomy at a certain point in time. That’s how we roll.
    0:12:04 I like to raise the people who are going to be our next group of writers, mainly because they
    0:12:08 already know how to do everything, but also because there’s so many interesting people
    0:12:13 who come through who are the next great purveyors of ideas, who sometimes get overlooked.
    0:12:18 So one of the things that Hollywood and Silicon Valley has in common is we both launch these
    0:12:23 projects and some of them work and some of them don’t. And even the best entrepreneurs in Silicon
    0:12:27 Valley and even the best creators in Hollywood have projects, some projects succeed, some projects
    0:12:32 don’t. As you think about this kind of production company, studio umbrella that you’re building,
    0:12:37 as you have all these projects, what’s the success rate that you expect to have and why?
    0:12:45 What’s the right success rate? I’m very hard on myself. I’ve never created a show that hasn’t
    0:12:51 gone less than 100 episodes, so I’m very hard on myself. You’ve written treatments and screenplays
    0:12:56 for things that haven’t gotten picked up? Maybe one. But I’ve never produced anything that hasn’t
    0:13:00 gotten that way. You have a lot more projects underway now? Yeah, I have a lot more projects
    0:13:03 underway now and some of them aren’t supposed to go that long, so it’s not that thing. But I have a
    0:13:10 real panic about not doing well for you and me. But for shows that we’re making, it’s really about,
    0:13:16 a lot of it is about helping somebody figure out how you run a show. Running a show is not an easy
    0:13:21 thing. You go from being a writer who’s writing at home in your pajamas to having 350 people working
    0:13:28 for you, looking at you and saying, “What do we do now?” So it’s not a simple way of being. So to me,
    0:13:33 it’s about helping them stand on their own two feet because eventually they’re going to have to,
    0:13:37 whether or not you’re shoring them up or not, they really have to be able to do it for themselves.
    0:13:43 So for some people, that’s easier than for others. For some people, it’s like duck to water. For some
    0:13:48 people, it’s really teaching them how to swim. When do you know that a show is going to work?
    0:13:57 What’s the moment? I don’t know. Well, yes, I think you do. You know around episode 10. Is that
    0:14:02 right? You have to get that far into it before you feel certain. For the shows I make, for shows
    0:14:08 we make with other people, around episode 10, I become sure whether or not it’s going to survive
    0:14:14 really, whether or not it has an engine that can keep going, whether or not I feel like I understand
    0:14:19 what the show is because until then you’re still just finding it. You’ve just started to work with
    0:14:23 all these people. You’re all getting your feet wet. You’re figuring out what this thing is.
    0:14:28 You’re making a product and you’ve only been working together for, by that point, it’s
    0:14:34 maybe six months, seven months. You see these shows that they take, Parks and Rec was maybe a
    0:14:38 famous example of this. They kind of take a left turn. Yes. And then some of them take a left turn
    0:14:42 and get much, much better. Succession is a show. There are also people who talk about that way.
    0:14:46 I haven’t seen season two yet. Oh, it’s genius. No spoilers. No spoilers. But I’ve heard, I love
    0:14:51 season one, but I’ve heard it’s even better in season two. And so it’s a left turn to greatness.
    0:14:55 Is that the kind, it’s the result of the cohesion of the people? Is that the… It’s part of it.
    0:15:01 You figure out what you have. You gel, scandal. We, I feel like we were like, we don’t quite know
    0:15:05 what we’re doing season one. And then we got to the end of season one and we hit this episode
    0:15:10 where you sort of saw what happened in the past and we all let, okay, now we understand our show
    0:15:17 completely. Grace was very different. I sort of knew from the beginning what was going on,
    0:15:21 but it wasn’t until the ex-wife showed up. Like there were these moments when you sort of,
    0:15:27 when things gel and you know what the show is and it starts to sing. Do you do test screenings
    0:15:32 for your shows? The network does test screenings. Yes. Do you find value in test screenings or no?
    0:15:36 It’s an interesting question. I find value in it, especially when like, for instance, when we were
    0:15:43 making Grace and I was this kid who was making a show and they had no idea who I was and they were
    0:15:48 very worried about, you know, what is this show? There had never been a show where, you know,
    0:15:51 women were that competitive or a woman had slept with a guy the night before her first day of
    0:15:57 work where there were that many people of color in a show. They were very nervous. And so, you know,
    0:16:01 I’d been sort of keeping my head down and just doing my work and hoping for the best. Testing was
    0:16:07 great because testing then proved that the show was working for them. It proved what I felt,
    0:16:12 you know, was a good show, was a good show for that. So testing does help because it backs up,
    0:16:17 you know, the suits who need to know that this is going to work if they need numbers for themselves.
    0:16:24 To show people. But it’s never been a thing that I’ve really paid attention to in a real way
    0:16:28 in network television because testing in network television is really about opinion.
    0:16:34 I’m very excited about it at a place like Netflix because the data is very different than testing.
    0:16:40 So that’s my next question. So what kinds of data would you find useful in the creative process?
    0:16:46 Well, right now I’m excited by the concept that I could be told, for instance, like exactly when
    0:16:48 a whole group of people decide they’re going to stop watching something.
    0:16:53 Because that’s very different than, you know, in network television, people will say like,
    0:16:58 I hate that character. And that’s fine. But that doesn’t mean that they’re going to start
    0:17:00 stop watching. You know, people say they hate somebody and they love to hate them.
    0:17:04 They’re going to keep watching. It doesn’t matter. But it can be interpreted differently.
    0:17:08 But in data, when they say like everybody stopped watching exactly at this moment,
    0:17:14 that is real. And that helps us, you know, if you really want to know it. And I haven’t gotten
    0:17:18 to use it yet. But I’m excited by the idea of getting to we’ll talk more about Netflix in a
    0:17:22 few minutes. But I’d love to talk a little bit more about the distinction between film and TV,
    0:17:26 because it feels like something very important is happening. So TV is like mass market entertainment.
    0:17:29 It may be not expected to be at the same creative bar, although there were there were obviously
    0:17:34 exceptions along the way. And then it feels like something maybe flipped is the right way to think
    0:17:37 about is that television is the writer driven medium, as you mentioned, where the writers are
    0:17:41 actually given control of the show. And of course, legendarily, in the film industry,
    0:17:44 that is not the case. It’s directors. Yes. Right. And then there have been actually books written
    0:17:47 about how terrible it can be for the writers to see the results of their work go through the
    0:17:51 the sausage making machine. And so would you agree with the thesis that there’s been this inversion
    0:17:56 of quality from film to TV? Would you agree it’s because it’s writer driven? Or would you have
    0:17:59 a different point of view on that? I don’t like to use the word quality, because I think that
    0:18:07 quality makes it it about what’s good and what’s bad. I think that movies like Star Wars and Jaws
    0:18:15 and all these really awesome blockbuster movies changed the idea of what a movie could be. And
    0:18:22 the pursuit of of a big blockbuster changed what people were interested in making. And over time,
    0:18:26 you know, for a while it meant they could make blockbusters and they could make these amazing,
    0:18:30 you know, smaller character driven movies. And then over time it began, they made more
    0:18:35 just big blockbuster action movies than they made more blockbuster action movies and just remakes.
    0:18:42 And at a certain point that began to be what was lucrative for them, period, less prestige films
    0:18:48 and more just bigger movies. And, you know, I like a good Marvel movie, so I’m fine with it.
    0:18:54 But it did mean that a lot of that character based stuff didn’t get made. And at a certain point,
    0:18:58 I think a lot of writers realized that if they wanted to make those kinds of stories and if they
    0:19:03 wanted to have control of them, there was you could make a lot of stuff on television. It literally
    0:19:08 was 2003 or four when I sat down and said, oh, all the good character driven stuff
    0:19:13 can be made on television. So it is that time. Right. And was it putting the writers in charge?
    0:19:19 Was that the… Well, I mean, television wasn’t, I mean, in film, we always say the director fires
    0:19:23 the writer and in television, the writer fires the director. Like, and that’s always been the way
    0:19:28 it’s been. So I think that it’s just a writer driven medium. Right. It’s amazing because you
    0:19:33 just think of it in films. The director is so important. Yes. And yet in TV shows, you see,
    0:19:37 it’s every episode is a different director. And the director is very important. It’s simply that
    0:19:44 the writer has to continue. You’re writing a continuously long, crazy, epic novel. So the
    0:19:48 writer is the person who’s the through line. Right. Okay. And then another analogy between
    0:19:53 Hollywood and the Valley that I think about a lot is both of our worlds, there’s a form of creative
    0:19:56 expression. There’s creative expression in the form of creating the product and then creating the
    0:20:00 company. Right. That makes the product. But then it’s also a business. And I think one of the
    0:20:04 things that you’ve said is that everybody does need to eat. Yes. And so it is important to also
    0:20:09 treat it as a business. Like, how do you navigate as a creative professional? How do you navigate
    0:20:14 that line between art and business? Well, part of what I think is that, you know, you have to really
    0:20:20 think about your audience. And I don’t think that there’s any shame in that. I enjoy writing for
    0:20:26 my audience, not necessarily to my audience or, you know, like thinking about my advertisers in
    0:20:32 that way. But I enjoy writing for the audience that I’m writing for. You know, there’s a lot of
    0:20:37 entry points for the audience that we have. And they’re awesome. You know, they’re loyal and
    0:20:43 they’re wonderful and they pay attention and they care. And you have to respect that. And I don’t
    0:20:47 think that there’s any shame in that. Like there’s something about the idea that you can ignore
    0:20:54 your audience and think that you’re still going to get somewhere that is not very smart. So I enjoy
    0:20:59 writing for the audience and really enjoy the stories that I’m telling. And I do think that if
    0:21:06 you’re passionate about that, you can still be creative. Your shows are very adventurous. Many
    0:21:10 things happen in your shows and the characters do many things. How do you know when you’re pushing
    0:21:18 the audience too far? Is that possible? It definitely is possible. Usually, by the time I’m
    0:21:24 pushing them very far, they’ve been with us for so long that they’re just like, oh, gosh,
    0:21:29 you’re going there. You know, so it’s sometimes it’s okay. Yeah. I mean, at one point on Scandal,
    0:21:33 two of the characters ended up basically being sociopathic serial killers in a
    0:21:38 love-struck relationship. It’s Washington. And by the way, like we watched every episode.
    0:21:43 It’s Washington. Yeah, well, it is. But you know, a lot of bad things that happened to them. And I
    0:21:48 felt like the right place for them to go. But it was this very, you know, it went with the idea
    0:21:55 that like DC was filled with monsters at the time. Not literal monsters. But it was this very dark
    0:21:59 world. And there’s a lot of things that happen. And I feel like you’re, you know, you’re following
    0:22:05 story and following story and following story. Sometimes, sometimes it works. Sometimes it doesn’t.
    0:22:12 So I remember watching, you know, watching Scandal. Scandal started in 20, probably 12, 13.
    0:22:17 Yeah, 2012. So 2012. And I remember thinking, okay, boy, like this is a crazy version of Washington,
    0:22:23 DC. Yeah. And I am so glad that like normal Washington, DC isn’t crazy like this. And then
    0:22:26 I watched season two and season three. And then I started paying attention to normal Washington,
    0:22:31 DC. And I was like, Oh, my goodness, things are getting crazy in real life. And so then it was
    0:22:35 like, you know, given what I would give on a Thursday night, do I watch Scandal or do I watch
    0:22:40 the news? Is it a challenge for somebody writing a show like that? Well, what happened for us is
    0:22:48 first we wrote about this made up thing that we made up called Thorngate, where if you there was
    0:22:53 a spy thing that could like use your phone to spy on you. And it’s absurd. I mean, that’s just
    0:22:57 paranoid. Yeah, exactly. And it could, you know, listen to your conversations. And we thought we
    0:23:04 were just being like wild. And then two months later, if it was happening. And like that kept
    0:23:08 happening to us mainly because we were sort of reading the papers and sort of extrapolating
    0:23:13 like what ifs. Then, and we felt that was fun. And the, you know, the critics thought it was fun.
    0:23:18 And we thought like this isn’t this cute. But then we made up like the wild and crazy like
    0:23:26 Southern like billionaire who wanted to run for president and, and seemed to be like just
    0:23:33 somebody. And then it was happening. And that was not as funny because it was like
    0:23:41 too real. And it kept being very real. And then at a certain point, we thought, we can’t surpass
    0:23:45 what’s happening in Washington. Like there was a moment when I just thought, I don’t even know
    0:23:52 how to surpass what’s happening in Washington. We did our inauguration. And it just felt like
    0:23:57 what’s happening in real life is just way crazier. And I thought like, I’m done,
    0:24:01 which is why we ended in season seven. I thought, I cannot write anymore about what’s
    0:24:05 happening. We’d have to go the other way. We’d have to go like way serious in order to make it
    0:24:09 that interesting. For a long time, I used to ask my friends in DC, is Washington more like scandal
    0:24:14 or veep? And for a long time, the answer was veep. I know. I know when I was very proud of that.
    0:24:18 Yes. So we’ll finish up by talking about tech and talking about what you’re not doing with Netflix.
    0:24:24 First, I’d love to ask, has social media kind of arrived, kind of made these shows for you and
    0:24:30 kind of made your career? Has social media changed how you do what you do? Scandal really helped
    0:24:36 change how people use TV shows to do what they do. Like we were part of the start of, you know,
    0:24:41 live tweeting shows. That was one of the things that we all did at the very beginning, and the
    0:24:46 live tweeting of shows was really a big deal and how we interacted with fans. So it’s changed the
    0:24:50 way we interacted with fans. It didn’t change the way we wrote the shows or create the shows,
    0:24:57 but it was a very quick means of communicating with critics, talking to the press, and hearing
    0:25:01 what the fans had to say. I’ve heard a theory from friends of mine in the movie business that
    0:25:05 the social media has made movies much harder because you used to be able to release a movie on
    0:25:10 Friday. And if the movie wasn’t that great, people would still see it three, four or five days.
    0:25:14 You could have that first opening weekend. You could maybe still make a profit in that movie.
    0:25:18 Today, the movie comes out, you know, it shows up in theaters five o’clock by six o’clock or seven
    0:25:24 o’clock on Friday night. The buzz is out. The buzz is not good. The movie just dies. And so one
    0:25:27 of the arguments I’ve heard is that that’s one of the things that’s reduced risk taking in the film
    0:25:32 business. Oh, that’s interesting. Do you buy that? It’s highly possible. I mean, one of the things
    0:25:37 that was great for us was because the live tweeting was so important and because it meant that if
    0:25:42 you missed it, you missed the conversation, we sort of brought back watching a show in real time.
    0:25:49 So it worked great for network television for that moment. But I do think for things like movies,
    0:25:54 it’s dangerous because people will also spoilers. I’ve seen things where people like completely
    0:25:59 tell the ends of movies on Twitter and things like that. Streaming, I think it’s a good thing
    0:26:03 for an audience as well because it does get the word out. Right. Well, we’ll talk, as I said,
    0:26:07 we’ll talk about Netflix. But when you make your shows for Netflix now, will they be released
    0:26:11 weekly the way you have been? Or will you do the binge now? I hope, I really am big on binge
    0:26:17 watching myself. So I’m hoping they’re all released in a binge way. So then one of the things you
    0:26:21 hear about, one of the questions about, I mean, binging as a consumer proposition is amazing.
    0:26:26 And I think we all love it. One of the things you do hear is it does reduce that water cooler
    0:26:30 effect, that kind of simultaneous experience. And you do get these shows, like what’s the,
    0:26:34 you do get, obviously Game of Thrones has been a recent example of this, where it’s just like,
    0:26:37 where it feels like, at least for a brief moment in time, the whole country is watching the same
    0:26:41 thing again. Is that, do you think that that’s something that should be preserved or is that
    0:26:46 just, is that not necessary? I’m not that worried about it. I mean, and I think I’m not that worried
    0:26:50 about it because I still, you know, I’m in the grocery store and I still turn around the corner
    0:26:55 and there’s a 12 year old staring at me and suddenly I’m Jesus. And I realize, oh,
    0:27:01 you’ve just watched 300 episodes of Grey’s Anatomy, like at once. So I think that binging,
    0:27:06 no matter what, still works. And I don’t think you have to have your water cooler moments all at
    0:27:11 once. I think that there’s something interesting about telling somebody like, oh my God, have you
    0:27:15 seen, you know, dark, which is my favorite show. Have you seen dark? And you have to watch it and
    0:27:19 you go crazy on it and then somebody else watches it and it’s sort of like you’re passing on like a
    0:27:24 secret. Yeah, almost like a novel. Yeah. Yeah. Great. Okay. Well, let’s talk about Netflix. So,
    0:27:28 so you made this huge announcement recently. You’re moving to Netflix and you have this big
    0:27:32 new deal relationship with Netflix. I was going to ask you as well, the shows you make for Netflix
    0:27:36 be different than the shows you make for ABC. But you have said, I believe that the shows that you
    0:27:41 made for ABC are shows made for ABC, whereas shows made for Netflix will be shows made for the world.
    0:27:46 Yeah. I mean, I think there’s a difference. ABC has a very specific audience of people who watch
    0:27:52 shows on ABC. They have a brand themselves. And there’s a group of people they are making shows
    0:27:58 for. They have advertisers who they need to keep happy. And there’s a, there’s a, there’s a system.
    0:28:03 And I think that that’s great. I mean, that’s what’s been working. So Netflix’s thing is very
    0:28:10 different. Like the idea for Netflix is my job is to make shows that make people want to subscribe
    0:28:15 to Netflix, which is very different than keeping people watching. You know what I mean? It’s,
    0:28:20 it’s just different, bringing people to a show for a specific hour of time. So it means we can
    0:28:26 make almost anything as long as it’s good. And so for us, it’s been really fun to expand the content
    0:28:32 of what we’re making while still keeping what I think, you know, are the same core audience members
    0:28:37 in our minds. Right. What does, what does, what does that, I mean, in general terms, not
    0:28:41 just for specifics, but in general terms, what does Netflix ask from you when you want to make a
    0:28:45 show as part of your new partnership? I can tell you exactly in specific terms what they ask from
    0:28:50 us, which is make whatever makes you happy, which has been fantastic. I mean, that’s an extraordinary
    0:28:57 deal to have to, to get to work with people who are like just to make stuff that’s good.
    0:29:02 And they’ve been very supportive about that. Do they try, do they connect that back to like
    0:29:06 projections on subscriber numbers or retention? Or does that come later? Or do they, that’s just
    0:29:09 not part of the coverage? Yeah. No, there’s no, we don’t have to ask those questions. Like,
    0:29:14 that’s not a thing that happens. It’s more about, are you excited about this? That’s great. Go.
    0:29:17 We go to them and we say, we’re going to make, you know, eight episodes, this or 10 episodes,
    0:29:22 this or we’re excited about this. And they’ve been very supportive. Right. That might change if we
    0:29:25 start to make things that are terrible. But right now they’re very, very supportive of us making,
    0:29:31 you know, our shows. Right. And it’s the right format, one of the sort of, the formats of entertainment
    0:29:34 kind of change the technology. And so the, you know, there’s, there’s sort of, you know, arguments
    0:29:37 about why, you know, TV shows are half hour and an hour and it has to do with, you know, the
    0:29:41 distribution of, you know, commercials, commercial placement has to do with, you know, the viewing
    0:29:45 patterns and how long people will sit and so forth. Is, is like the 45 minute one hour drama
    0:29:49 and the half hour comedy, is that the stable state even in a streaming world? Or do you think the,
    0:29:54 the, the, the sort of shape of, of, of programs will change? You know, it’s interesting. I think
    0:29:58 it was Amazon that made the 30 minute show homecoming, which was, there was a drama, but it
    0:30:02 was 30 minutes. And it was really interesting and people stayed riveted. They’ve made a couple of
    0:30:08 things that have been like 15 minute comedies, which are surprising. I don’t know about the
    0:30:14 length. I know that for me, writing something that’s about 60 pages long, which is about 45
    0:30:20 minutes long on television feels right. It’s, it’s what I know how to do. And it feels good to
    0:30:23 me. I have not reached a point now where I’m thinking like, I need to write something that’s
    0:30:27 an hour and 15 minutes, or that I need to write something that’s only 20 minutes long. That’s
    0:30:31 not my thing. Right. I’ve also read, I’ve also read, I’ve seen studies over the years, there’s a
    0:30:35 great Stephen Johnson, the author wrote a book called Everything is Bad is Good for You, where
    0:30:38 among other things, he makes a very positive case for, for television. One of the things he
    0:30:42 shows in that book is that television shows have gotten much more complex over time. And so if you
    0:30:47 chart the plot of a drama from the 1970s and compare it to the Sopranos or to Grey’s Anatomy,
    0:30:51 like it’s just like a wildly different level of complexity and therefore kind of stimulation.
    0:30:56 I’ve heard an argument that streaming will lead to a dramatic, even increase in complexity and
    0:31:01 sophistication as a consequence of the fact, no commercial breaks. Right. So no need for the,
    0:31:05 the cliffhanger, and then pick the narrative back up. And then also no need to have the
    0:31:09 recap of the, of the next episode, because you, I guess you assume the, the, the bingeing model.
    0:31:12 Does this like, does this open the door to a much more sophisticated form of entertainment?
    0:31:16 I think it can. I mean, and I think what’s very interesting for somebody coming from
    0:31:22 so many years of writing network television, it’s been a, it’s been fun to really play with that,
    0:31:26 to know like, we don’t have to recap, we don’t have to have out act breaks. We don’t have to worry
    0:31:31 about like how to get somebody from that episode to this episode. You know, there’s a lot of
    0:31:35 things that go away when you don’t have to do that. And it does feel like stories can get more
    0:31:42 complex because you don’t have to worry about driving the things forward in that way. But I
    0:31:48 also am like, I like a good plot. Like I like when things are moving forward. I enjoy the pace of
    0:31:55 something like scandal. Writing it is fun. And so to me, I, you know, a lot of streaming shows get
    0:31:59 really slow because they know they can, because they know you’re streaming them. I don’t think
    0:32:03 that’s for me in terms of the way I write things. I enjoy watching them, but I don’t think it’s
    0:32:09 for me. So we’re still moving at a pace. And then on your, I saw an interview you did about
    0:32:13 your Netflix deal, your company Shondaland is moving to a new facility. And there’s a vignette,
    0:32:17 one of the stories that has you and your partners looking at photos on the wall of the Founders
    0:32:23 United Artists, which is a studio from classic Hollywood, from Golden Age, Golden Age Hollywood.
    0:32:28 Maybe, and you talked about, I think a little bit or alluded maybe that’s a little bit of an
    0:32:32 inspiration for where you’re headed with Shondaland or it’s maybe there’s some historical legacy
    0:32:37 there to. We’ve really created that we were able to create a model in the beginning when we first
    0:32:44 got there to find a way to hold on to a series of our writers and to make it sort of a creative
    0:32:50 home for people to stay versus, you know, you have to go away and take a deal here and come back
    0:32:54 there and get hired for this show and come back as a, I was like, can’t we have more of an incubator
    0:33:00 for writers? And Netflix was very excited about that idea and amenable to that idea. And I felt
    0:33:04 like that felt like, you know, a home of a little, a bunch of creative people, like all running in
    0:33:08 and out of their offices and screaming about how things aren’t working and helping each other felt
    0:33:13 good. So United Artists, the history for those who don’t, the history of United Artists was it was
    0:33:18 a studio founded by some of the legendary creative talent at that time. That was Farah Banks, Mary
    0:33:22 Pickford, a series of these people and it ran for quite a while with the kind of model that you’re
    0:33:28 describing. But then at a certain point that ended in the sort of modern studio world that we know
    0:33:33 I’ve kind of dominated for the last 50 years. Like, did that have to end? And why would now be the
    0:33:37 right time for that to come back? Because we can and we’re enjoying ourselves and we can do it. And
    0:33:44 also it feels like a really good creative time. Everything feels new. You know, we’re on this
    0:33:49 new horizon of where we can go in terms of this industry. You know, something is sort of going
    0:33:54 down and something is coming up and that means, I don’t know, just a new space for us. That’s
    0:33:59 great. Maybe we could close on three recommendations from you for TV shows, films or books that aren’t
    0:34:09 made by you. Well, yeah, there’s plenty of those. I highly recommend Dark, which is a German show
    0:34:14 on Netflix and it’s so good. Now, do I watch that with dubs or do I watch that with subtitles?
    0:34:18 It depends on if you’re a dub or subtitle person. Dark is one of those shows where
    0:34:22 they’re speaking German, but the actors who do the German also do their own dubs. So it’s actually
    0:34:29 really good. And the fact that I know that means I’m a super nerd. Succession, which you have not
    0:34:36 seen, but you obviously need to see because it’s genius. Succession, that shows nonfiction, right?
    0:34:43 Yeah, that’s another one of those shows. And probably Barry, which is really fantastic.
    0:34:46 A comedy on HBO. Yeah, it’s a comedy on HBO. It’s really beautiful.
    0:34:50 Yeah, what makes Barry special? I think just the way it was written and the way it’s performed,
    0:34:53 that show feels like nothing else on television right now.
    0:34:58 All right, that’s great. Shonda Rhimes, thank you. Thank you.

    Hollywood and Silicon Valley seem so different, but are more alike than we think. What challenges do tech startup founders and other creative founders — like showrunners and executive producers — similarly face? Both have to deeply understand and respect their audiences; learn how to scale themselves beyond one person; and even figure out how and when to use data… or follow their intuitions.

    In the end, it’s all about creating a story (product!) that sticks.

    In this conversation with Andreessen Horowitz cofounder and general partner Marc Andreessen, Shonda Rhimes — executive producer, writer, creator of hit 100+ episode shows hows like Grey’s Anatomy and Scandal, and founder of the media company Shondaland — shares the mindsets that drive her to pitch ideas, think about new mediums, and what happens when make believe veers too close to reality.

    Rhimes is the recipient of several industry awards and accolades, including a Golden Globe for Outstanding Television Drama, the Peabody Award, Time 100 most influential people, Fortune’s “50 Most Powerful Women in Business”, and lifetime achievement awards from the Directors Guild of America, the Writers Guild of America, and the Producers Guild of America. She has been inducted into the National Association of Broadcasters Broadcasting Hall of Fame and to the Television Academy of Arts & Sciences Hall of Fame. She is also the creative director of Dove’s #RealBeauty campaign and authored NYT bestseller Year of Yes.

    The conversation originally took place at our most recent annual innovation Summit — which features a16z speakers and invited experts from various organizations discussing innovation at companies large and small, as well as tech trends spanning bio, consumer, crypto, fintech, and more.

  • The Journey from 0 to 1, from Mosaic to Netscape

    AI transcript
    0:00:03 – Hi everyone, welcome to the A6 and Z podcast.
    0:00:06 Today we have one of our special guest hosted episodes
    0:00:08 as part of a new series where we share
    0:00:12 select A6 and Z partner appearances elsewhere here.
    0:00:15 This one is with A6 and Z co-founder Mark Andreessen.
    0:00:18 The episode is cross-posted from the new show
    0:00:21 Starting Greatness, hosted by Mike Maples Jr.
    0:00:25 In the show that follows, Mark shares some rare
    0:00:28 behind the scenes details on his journey
    0:00:31 to product market fit from zero to one
    0:00:34 from the University of Illinois and Mosaic to Netscape.
    0:00:36 – So it was a strange time.
    0:00:37 There’s an old William Gibson quote,
    0:00:40 the author of Neuromancer, all the great science fiction books.
    0:00:41 He says the future’s already here,
    0:00:43 it’s just not evenly distributed.
    0:00:45 And so this was a great example of that.
    0:00:46 – That’s Mark Andreessen,
    0:00:50 who’s now a famous venture capitalist at Andreessen Horowitz.
    0:00:52 At age 22, he founded Netscape,
    0:00:54 the company that kicked off the internet age.
    0:00:56 How did Netscape even happen?
    0:00:59 And what was it like when it was about to blow up?
    0:01:00 This is Mike Maples Jr. a floodgate
    0:01:03 and it’s go time with Mark Andreessen.
    0:01:05 (upbeat music)
    0:01:08 Welcome to Starting Greatness,
    0:01:10 a podcast dedicated to ambitious founders
    0:01:14 who want to go from nothing to awesome, super fast.
    0:01:15 When you’re a startup founder,
    0:01:18 you have to channel your inner James Bond,
    0:01:20 your MacGyver, your Wonder Woman.
    0:01:23 I’m going to help you win by curating the lessons
    0:01:24 of the super performers.
    0:01:26 But before, they were successful.
    0:01:30 So without further ado,
    0:01:32 – Vignition sequence start.
    0:01:35 – Let’s get started.
    0:01:38 (upbeat music)
    0:01:42 I decided to do some things a little differently
    0:01:42 with this interview,
    0:01:44 because I wanted to capture things
    0:01:46 about Mark’s startup journey
    0:01:47 that most have likely not heard.
    0:01:50 I wanted to get a level deeper about how Netscape
    0:01:53 and the early web grew out of mosaic project.
    0:01:55 But I also wanted to help people see a side of Mark
    0:01:57 that few people see in public.
    0:02:01 While you might see him share books he likes on Twitter,
    0:02:02 it’s hard to connect this
    0:02:04 to what it’s like to spend time with him.
    0:02:06 He’s an incredibly avid reader
    0:02:09 in diverse areas like technology, science, art,
    0:02:12 literature, science fiction, history, politics,
    0:02:14 economics, psychology,
    0:02:17 and he can synthesize ideas and connect the dots
    0:02:19 in a blink of an eye.
    0:02:21 And that curiosity combined with his technical depth
    0:02:23 is definitely a superpower.
    0:02:26 If you’ve wondered about the origin stories of the web,
    0:02:28 what it was like to be in the middle of it,
    0:02:31 Mark goes into a depth that I haven’t seen before.
    0:02:32 And he also reveals the three things
    0:02:34 he wishes Netscape had done differently
    0:02:37 that would have made the internet better today.
    0:02:39 I’m excited about how the conversation went
    0:02:40 and hope you enjoy it too.
    0:02:42 Let’s talk to him.
    0:02:45 (upbeat music)
    0:02:48 Mark Andreessen, welcome to the podcast.
    0:02:50 – Hey, it’s great to be here.
    0:02:52 So Mark, you’ve been involved with some pretty big wins.
    0:02:54 So why don’t we just start out by asking you,
    0:02:56 what’s your advice to people
    0:02:57 who want to build something great?
    0:02:59 – So the first piece of advice is don’t do it.
    0:03:00 (laughing)
    0:03:02 – It’s impossible.
    0:03:04 – It’s impossible, so it’s so hard.
    0:03:07 John Parker has the best line on starting companies.
    0:03:09 Starting a company is like chewing glass.
    0:03:12 Eventually you start to like the taste of your own blood.
    0:03:14 And so don’t do it.
    0:03:16 And the reason that’s the first piece of advice
    0:03:18 is because number one, if you can be talked out of it,
    0:03:19 you definitely shouldn’t do it.
    0:03:21 So if you listen to advice number one,
    0:03:22 you definitely shouldn’t do it.
    0:03:24 If you ignore advice number one,
    0:03:26 you might have the personality type to be a founder.
    0:03:28 So that’s the first gut check.
    0:03:30 And then you see this a lot, I’m sure,
    0:03:32 is there are a lot of people who would like
    0:03:35 to start a company, the goal is to start a company,
    0:03:37 and then they kind of try to back in on an idea.
    0:03:38 We call this sort of synthetic,
    0:03:40 we call these sort of synthetic startups.
    0:03:41 It’s like I want to start a company
    0:03:43 and I am now going to apply myself.
    0:03:44 – Market white space companies.
    0:03:45 – Yeah, exactly.
    0:03:47 Boy, wouldn’t it be great if X,
    0:03:50 whatever X is just something I read in the magazine that day
    0:03:52 or just a, you know, by the way,
    0:03:54 there have been some successful synthetic startups,
    0:03:54 like some have worked.
    0:03:57 The more common thing is an actual honest to God,
    0:03:59 organic idea that is actually something
    0:04:02 that you are like deeply immersed in, right?
    0:04:03 The odds that it’s going to be like
    0:04:05 a flash of inspiration or very low,
    0:04:07 but like if it’s a field that you’ve been working in
    0:04:09 for five or 10 years and you know it inside out
    0:04:10 and it’s just like obvious to you
    0:04:12 that it should work a different way,
    0:04:13 then maybe you’ve got something.
    0:04:15 But you got to like really deeply,
    0:04:17 like number one, you have to deeply believe
    0:04:17 because you have to really be
    0:04:19 irrationally committed to it because it is so hard.
    0:04:20 But the other thing is like,
    0:04:21 you have to actually validate your beliefs.
    0:04:23 Like it has to actually like, you have to be right.
    0:04:26 – And gates and jobs are the same way in PCs.
    0:04:28 You’re obsessed with a field for its own sake
    0:04:29 and you start noticing things
    0:04:31 because you’re down the rabbit hole.
    0:04:32 – Yeah, that’s right.
    0:04:32 And it’s very hands on.
    0:04:35 And you know, both the Microsoft and Apple founding stories,
    0:04:36 both companies started very small and very humble
    0:04:37 because they were literally working.
    0:04:38 Like, you know, Apple,
    0:04:40 they were building their first computers by hand.
    0:04:41 – Yeah.
    0:04:42 – You know, there was no abstraction to it.
    0:04:43 – Right.
    0:04:44 – There was no master plan, there was no theory.
    0:04:46 It was can we build a hundred computers
    0:04:48 made out of wooden boxes and sell them at the trade fair
    0:04:50 and it built out of that.
    0:04:52 But to your point, like they were living in that world.
    0:04:53 – I would love to just know about
    0:04:56 just how you got to building Mosaic.
    0:04:58 How did you get involved with the internet in the first place?
    0:05:00 – So it was a strange time.
    0:05:02 There’s an old William Gibson quote,
    0:05:03 the author of Neuromancer,
    0:05:04 all the great science fiction books.
    0:05:06 He says the future’s already here.
    0:05:07 It’s just not evenly distributed.
    0:05:09 And so this was a great example of that.
    0:05:12 And so what I sort of semi-realized,
    0:05:13 when I chose to go to Illinois,
    0:05:15 part of it was because they had a top-flight
    0:05:17 engineering program, computer science program.
    0:05:19 But in particular, they were picked in the mid-80s
    0:05:22 to be one of four federally funded centers
    0:05:23 for supercomputing at the time.
    0:05:25 And this was a specific government program
    0:05:26 that basically had two parts.
    0:05:30 One was to basically buy these $25 million supercomputers
    0:05:33 from companies at the time like Cray and thinking machines
    0:05:34 and basically put them in,
    0:05:36 basically with four locations in the U.S.
    0:05:38 And then for scientists to be able to use
    0:05:40 for drug design and studying black holes
    0:05:42 and doing all kinds of stuff.
    0:05:45 The $25 million computer occupied a full room.
    0:05:46 And in fact, in those days, what they would do
    0:05:49 is actually build an entire building for the computer.
    0:05:50 And then they would actually,
    0:05:51 they’d build the shell of the building,
    0:05:52 they’d build the walls,
    0:05:53 they’d leave the ceiling open,
    0:05:54 then they’d lower the computer down
    0:05:57 through the ceiling, using a crane to lower it into place.
    0:05:59 And then they’d finish the building.
    0:06:00 So this was a big deal at the time.
    0:06:01 These things were super expensive.
    0:06:03 And so they only put them in four locations
    0:06:05 and they wanted other scientists and researchers
    0:06:07 all over the country to be able to use them.
    0:06:08 And so the part two of the program
    0:06:10 was this program called NSFNet.
    0:06:12 It was National Science Foundation Network,
    0:06:14 which was the funding group that they’d pay
    0:06:15 for this whole thing.
    0:06:17 So those programs are authorized in the mid-80s.
    0:06:19 And then I got to Illinois in ’89.
    0:06:21 And so they basically had been rolled out at that point.
    0:06:23 And so Illinois in those days,
    0:06:27 it was like a fully broadband wired internet native campus.
    0:06:29 And it was one of exactly four of those.
    0:06:30 But just because you have the internet
    0:06:32 doesn’t mean that it’s actually all that useful
    0:06:33 for anything, right?
    0:06:34 That there’s, you know, like if you’re a scientist,
    0:06:36 like how exactly are you communicating with every,
    0:06:38 you know, with your colleagues on different campuses?
    0:06:41 How exactly are you storing and analyzing your research?
    0:06:44 How exactly are you gonna share your research with the world?
    0:06:45 That stuff was all yet to be built.
    0:06:48 And so the purpose of this group was to build,
    0:06:49 you know, basically to build the early systems
    0:06:51 that would let people collaborate.
    0:06:53 – So then you’re building these early systems.
    0:06:56 Where does the idea for the mosaic browser come from?
    0:06:58 – So funny story there.
    0:06:59 So basically, so the project I ended,
    0:07:02 I got hired into work on was a project called Collage,
    0:07:06 which basically was sort of, I don’t know,
    0:07:08 maybe Zoom’s the current comp or something, or Skype.
    0:07:11 So, sort of, but sort of general purpose,
    0:07:12 real time conferencing, right?
    0:07:16 So video, audio video, but also like,
    0:07:17 it’s all the standard compliment,
    0:07:19 whiteboard sharing, you know, document,
    0:07:21 collaborative document editing, Google Docs kind of thing.
    0:07:24 You know, this is like what, in 1991, 1992, right?
    0:07:26 So they kind of had all those ideas back then.
    0:07:27 It’s one of those funny things.
    0:07:29 Like it’s when people talk about this,
    0:07:30 but like the role of timing and the stuff
    0:07:31 is always so interesting.
    0:07:33 ‘Cause like that stuff’s all happening now, right?
    0:07:35 Like Zoom goes public now, right?
    0:07:37 ‘Cause it’s like 30 years later, right?
    0:07:41 So the lag on these things can be quite something.
    0:07:43 – Okay, so you’re trying to help these ideas
    0:07:45 take some early baby steps.
    0:07:46 How’d you think about what to work on?
    0:07:47 – Well, there were a few things.
    0:07:48 So there were a few things.
    0:07:49 And so then you basically say, okay,
    0:07:50 real time isn’t gonna work.
    0:07:51 So it was sort of internet variations
    0:07:54 on the bulletin board systems of the PC hobbyists
    0:07:55 in the mid-80s, right?
    0:07:56 And so it’s sort of those ideas
    0:07:57 being transplanted to the internet,
    0:07:59 which is kind of what all the social networking
    0:08:02 has been doing for the last 30 years.
    0:08:03 There was that.
    0:08:04 And then there was this new thing called the web,
    0:08:07 which had been developed in Switzerland at CERN.
    0:08:09 But that was like super early.
    0:08:10 And there were like, I don’t know,
    0:08:12 two or three websites at the time.
    0:08:13 And like the software was like,
    0:08:15 it was just very early.
    0:08:18 And so if you would read like an article
    0:08:20 about the internet at that point,
    0:08:21 it would, the article would be like,
    0:08:23 well, why would anybody wanna use the internet?
    0:08:25 And then a lot of the articles just ended there.
    0:08:26 But if they would go on to describe
    0:08:27 why you might use the internet,
    0:08:28 it’s like, well, you can kind of do email.
    0:08:29 And then there’s this FTP thing.
    0:08:30 You can download files.
    0:08:32 And then if you really wanna get weird,
    0:08:34 you can like be on Gopher and wait.
    0:08:35 You can like go to Gopher and view menus.
    0:08:37 You can go on Waze and do searches,
    0:08:38 you know, kind of clay, clay to be molded.
    0:08:41 And so basically the original idea for Mosaic was, okay,
    0:08:43 how about the universal client, right?
    0:08:44 How about, okay, because the problem is like,
    0:08:45 all this stuff was like,
    0:08:46 these are all fragmented programs.
    0:08:47 They were hard to use.
    0:08:48 They were hard to install.
    0:08:50 But most of this stuff was open source.
    0:08:52 It was like, you had to be pretty sophisticated to install it.
    0:08:54 By the way, it seems obvious that like,
    0:08:55 everybody’s gonna have this stuff.
    0:08:57 It seems obvious that kids are gonna wanna keep using this
    0:08:59 stuff once they graduate from college.
    0:09:01 It seems obvious that there’s gonna be, you know,
    0:09:03 software on servers and clients.
    0:09:04 It’s gonna be used to share information.
    0:09:07 It’s like, why wouldn’t you be able to have a link?
    0:09:09 Well, number one, you don’t wanna have a text-based display
    0:09:10 ’cause you don’t wanna be able to read stuff.
    0:09:12 Like most computer UIs up until that point
    0:09:13 were not text-based, right?
    0:09:15 They were like, you know, they were like buttons
    0:09:17 and switches and levers, right?
    0:09:19 Like old style nuclear control panels or something.
    0:09:20 And this software metaphor was like,
    0:09:21 put everything in a document.
    0:09:23 So that was new, but we thought that was obvious
    0:09:25 ’cause you’d like to be able to read things.
    0:09:28 And then we thought, okay, hypertext is probably obvious.
    0:09:29 So there were a set of these things that we thought were obvious,
    0:09:31 but it’s kind of like, okay, if they’re so obvious,
    0:09:32 why haven’t they happened?
    0:09:37 – Yeah, and I remember, was it Vannevar Bush wrote something?
    0:09:39 He talked about this thing called the Memex, I think,
    0:09:41 and it hypertexts like in the ’40s maybe even,
    0:09:42 like a long time ago.
    0:09:44 – So I started to do a lot of research.
    0:09:45 So luckily, Illinois has a big library.
    0:09:47 So I started to do, and again, I was just stressed again,
    0:09:49 this is like pre-Google.
    0:09:51 So this is like, go to the card catalog,
    0:09:54 and try to figure out like, can I swear on this podcast?
    0:09:55 – Yeah, it’s okay with me.
    0:09:56 – Okay, go to the card catalog and feel like,
    0:09:58 who the fuck wrote a book about this?
    0:10:01 Like please God, could somebody have written a book about this?
    0:10:04 – So basically, the history was there had basically,
    0:10:06 tracing back in time, there had been Doug Engelbart,
    0:10:09 basically, who basically developed a lot of these ideas
    0:10:11 and demonstrated a lot of them working in prototype form
    0:10:12 in the late ’60s.
    0:10:13 And so there was like an intellectual heritage
    0:10:14 going back to Doug.
    0:10:17 Contemporaneous, but even before that was Ted Nelson,
    0:10:20 who had sort of invented the term hypertext.
    0:10:23 And so there was this idea of linking that kind of existed,
    0:10:25 but like Ted is the guy who kind of picked up those ideas
    0:10:26 and kind of put them in the idea
    0:10:28 that a computer should be able to do this.
    0:10:30 And so there was kind of that heritage.
    0:10:31 And then there was, as you alluded to,
    0:10:34 there was this guy named Vannevar Bush who in 1945,
    0:10:36 that wrote a paper called As We May Think,
    0:10:38 which is one of those great old style,
    0:10:41 1940 style titles for papers.
    0:10:44 And it basically outlined a hypothetical system.
    0:10:47 This is 1945, so Vannevar Bush is important guy.
    0:10:49 He was FDR, science advisor during the development
    0:10:50 of the nuclear bomb.
    0:10:51 And so he was like a very important guy.
    0:10:54 And he basically, he defined basically how the federal
    0:10:56 government would fund research for the next like,
    0:10:57 basically 70 years.
    0:10:58 So he was like a very important guy,
    0:10:59 pillar of the establishment.
    0:11:01 So he wrote this document, which the Atlantic
    0:11:03 at the time published back when they used
    0:11:05 to publish things like this.
    0:11:07 That’s the day they’d publish a piece about how bad it is,
    0:11:09 but at the time they just like published a piece
    0:11:10 describing it.
    0:11:12 Basically outlined a system called Memex,
    0:11:14 which was, which is funny ’cause 1945,
    0:11:16 so it’s actually like pre-digital computer,
    0:11:18 like digital computer was like a brand new idea.
    0:11:22 And he didn’t, but like these ideas go way back.
    0:11:25 You know, they’re fairly obvious fairly quickly, right?
    0:11:27 You know, ’cause it’s like, okay, that would be a good idea.
    0:11:29 It’d be a good idea to be able to store large amounts
    0:11:30 of information, retrieve it, share it,
    0:11:33 transmit it over long distances, search it.
    0:11:35 There we were sitting in like 1992 being like, okay.
    0:11:37 So basically it’s like, are we crazy?
    0:11:38 Right, is the rest of the world crazy?
    0:11:40 Or is it just the right time?
    0:11:43 – Yeah, and it’s funny because it’s one of, to me,
    0:11:45 you know, we both know this guy, well,
    0:11:48 biology, Srinivasan, one of the things I really like
    0:11:50 is his notion of this idea maze.
    0:11:52 I think Chris Dixon talks about it too, right?
    0:11:55 It’s, to me, it’s a way better way to come at the question
    0:11:59 because a lot of the, like, all of it will happen someday,
    0:12:00 right?
    0:12:01 And so the question is just,
    0:12:03 what’s the right time for it to happen?
    0:12:05 And the idea maze is kind of this technique
    0:12:08 for understanding all the attempts that have occurred
    0:12:10 in the past and kind of understanding why those ideas
    0:12:13 got blocked and now do they get unblocked all of a sudden.
    0:12:15 How do you decide what to build first
    0:12:16 and which ideas are worth pursuing?
    0:12:18 – So what we needed to have was a network effect.
    0:12:20 We needed to have a flywheel kick in.
    0:12:22 We did the browser, we also did the web server
    0:12:23 at the same time.
    0:12:24 And that web server actually now is,
    0:12:28 Apache is the modern descendant of that web server
    0:12:30 over the last 25, 30 years.
    0:12:32 What we needed was kind of a ping pong effect, right?
    0:12:34 Where, ’cause what you want is the flywheel,
    0:12:35 where, like, more people reading with the browser,
    0:12:37 at least more people wanting to publish with the server,
    0:12:38 the more people who publish with the server,
    0:12:39 the more incentive there is to read
    0:12:42 and then you get the flywheel effect.
    0:12:42 So what we needed for that,
    0:12:45 the advantage we had is we basically had a hack.
    0:12:47 One of the things we say at our firm is
    0:12:49 if you’re gonna start a new network effects
    0:12:50 are like the best businesses in the world,
    0:12:52 but to get a network effect going,
    0:12:53 to get through the bootstrap phase,
    0:12:56 you need some hack, you need some strategy
    0:12:58 to kind of get you through that initial phase
    0:12:59 to the flywheel catching.
    0:13:02 And so our hack actually was the fact,
    0:13:05 well, the internet, it was sort of the NSF net,
    0:13:07 the other hack actually was at the time,
    0:13:11 internet news groups, and so we were actually the carrier.
    0:13:13 And so it just like, it turned out,
    0:13:15 and this is one of those kind of stroke of luck things,
    0:13:17 it just turned out there was latent demand.
    0:13:19 There were enough people on this thing.
    0:13:20 They weren’t, it kind of goes back to,
    0:13:21 they weren’t online at the same time,
    0:13:23 but they were online.
    0:13:27 And so there were enough people online where you could,
    0:13:29 there was a big incentive to be able to share,
    0:13:31 even to the small number of people who were there.
    0:13:33 And then there was a big incentive to consume
    0:13:35 if there was anything at all to read.
    0:13:37 And then this was like the prototypical early adopter crowd
    0:13:39 where they just like to try new things.
    0:13:40 And so there were a set of internet news groups
    0:13:42 that were kind of actively baiting,
    0:13:44 discussing all these kinds of topics.
    0:13:47 And so we were basically able to just kind of use that
    0:13:48 as the carrier wave.
    0:13:50 One of the first blogs was a page I maintained.
    0:13:51 I wouldn’t say it was the first one, not necessarily,
    0:13:52 but it was one of the first ones.
    0:13:55 So we had what was called the What’s New page.
    0:13:57 And the What’s New page, I would update it every,
    0:13:59 you didn’t get into work and update it every morning,
    0:14:02 or say when I got into work late in the afternoon,
    0:14:02 as the case might be.
    0:14:05 – Probably started out as just everything that’s there.
    0:14:07 – No, it’s literally every new website, right?
    0:14:09 And it was literally like, I would just get emailed,
    0:14:11 like, okay, you know, I launched a new website
    0:14:13 that’s got the menu of my favorite Indian restaurant,
    0:14:15 and you know, Cardiff.
    0:14:16 I’ve got a new website that has, you know,
    0:14:19 lyrics for the REM songs, right?
    0:14:20 It was just like random stuff like that.
    0:14:23 A lot of it was just people experimenting.
    0:14:25 And so it was literally, and you know,
    0:14:26 it started out being like one a day.
    0:14:28 I was like, okay, and then it started being two a day,
    0:14:29 and then it started being three a day,
    0:14:31 and then it went to five and 10, 20, 30 a day.
    0:14:33 And so you could just, you could kind of,
    0:14:34 there were two ways to see the flywheel.
    0:14:36 One was the incoming email.
    0:14:37 There were two incoming email boxes
    0:14:38 where you could see the flywheel kick in.
    0:14:40 One was entries for the What’s New page,
    0:14:42 ’cause the What’s New page was the main distribution method.
    0:14:43 It was the main way people were finding out
    0:14:45 about new webpages because this was pre-Google
    0:14:47 and everything else, pre-Yahoo.
    0:14:49 But the other email was customer support email
    0:14:53 for the browser, which was the thing that almost–
    0:14:53 – The ones you didn’t want to get.
    0:14:55 – The thing that almost killed me.
    0:14:55 – Okay.
    0:14:56 – It was providing customer support
    0:14:58 for the entire internet.
    0:15:02 But that’s another part of the story later on.
    0:15:03 So basically, so literally what happened was,
    0:15:05 so this whole thing started taking off.
    0:15:07 The more and more people at Illinois
    0:15:10 started working on this, the teams size started to expand.
    0:15:11 We became more ambitious.
    0:15:12 And then we actually went for the second round
    0:15:15 of NSF National Science Foundation funding.
    0:15:16 This is all, all this is happening.
    0:15:19 I mean, I was making minimum wage, $6, $0.25 an hour.
    0:15:22 But that $6 and $0.25 an hour was being paid for
    0:15:23 by the National Science Foundation
    0:15:25 through a very generous, generous grant.
    0:15:26 And I’m grateful for that.
    0:15:27 – At least you didn’t get deluded.
    0:15:31 – No, it was hard to delude $6 and $0.25 an hour.
    0:15:34 In fairness, they say, keep your burn rate low.
    0:15:36 Yeah, that’s a good way to do it.
    0:15:37 – Mission accomplished.
    0:15:38 – So we actually went, we actually,
    0:15:40 so literally what was happening was we were just,
    0:15:41 it was working.
    0:15:43 And so we had the, we were the dog that caught the bus,
    0:15:45 you know, kind of thing where it’s just like the,
    0:15:46 like literally what happened was,
    0:15:47 you know, the number of customer support emails per day
    0:15:50 was like, you know, 100 and then 200 and then 300.
    0:15:51 And then, you know, kind of up into the right.
    0:15:55 So we went to NSF for grant number two to basically like,
    0:15:57 you know, basically make this thing real.
    0:15:58 Like, and kind of fully build it out.
    0:16:00 And of course they denied the grant.
    0:16:02 (laughing)
    0:16:05 – We don’t want to pay money to take all these support emails.
    0:16:06 – Yeah, exactly.
    0:16:07 Which is literally, and what I, at the time I was like,
    0:16:08 well, that’s kind of your, it’s kind of, you know,
    0:16:09 they have a thing that’s working
    0:16:10 and they’re shutting off the money.
    0:16:12 Like, okay, that seems kind of dumb.
    0:16:14 And then I realized actually later on, I was like,
    0:16:15 oh, that was actually smart.
    0:16:17 Like, so specifically, like, it’s a research institute.
    0:16:19 It’s NSF, it’s research.
    0:16:21 It’s intensive on scientific research.
    0:16:23 And so clearly, yeah, customer support emails are like,
    0:16:25 you know, the 14th version of the Mac client, like, is not.
    0:16:28 – Yeah, so maybe that’s an initial sign
    0:16:30 of product market fit is when the university says,
    0:16:33 you know what, we’re done with you using our resources here.
    0:16:35 You’ve outgrown this university.
    0:16:36 – Yeah, exactly.
    0:16:38 – That happened kind of with Google too, I think, later on.
    0:16:39 – Yeah, right, right, right.
    0:16:39 At some point, Google would have taken
    0:16:41 over the entire computer-sized department.
    0:16:42 – Yeah.
    0:16:43 – Right, eating all the computers.
    0:16:44 And it was, yeah, you get kicked out of the nest.
    0:16:46 – Yeah, so they were kind of pushing you out of the nest.
    0:16:49 – So in retrospect, they did exactly the right thing.
    0:16:51 They did exactly the right thing at exactly the right time.
    0:16:54 – So did you decide, okay, I want to start a company?
    0:16:56 Or were you just like, well, that’s a bummer.
    0:16:57 My grant money just went away?
    0:16:58 – The second.
    0:16:59 – Okay.
    0:17:01 – So then, so like, now you’re just answering
    0:17:02 customer support emails.
    0:17:03 – No, I was like, shit, I have to get a job.
    0:17:04 – Okay.
    0:17:06 So what year were you at college?
    0:17:06 – I was graduating.
    0:17:07 – Okay, so you were about to graduate.
    0:17:08 – It coincided with graduation.
    0:17:09 – Okay, okay.
    0:17:10 – It coincided right around that time.
    0:17:11 And I was like, well, shit, I got to get a job.
    0:17:13 And so like, and they were, you know, basically,
    0:17:14 there’s not, you know, very, there’s very little
    0:17:15 actually in Champaign-Urbana.
    0:17:18 – Okay, so now you got to get a job.
    0:17:19 You’re interviewing for jobs.
    0:17:20 – Nope.
    0:17:21 – No, what was this?
    0:17:22 – Well, I had a slight advantage in my job search.
    0:17:23 – Okay.
    0:17:25 – Which is like, you controlled Mosaic.
    0:17:26 – I controlled Mosaic.
    0:17:27 (laughing)
    0:17:28 And specifically I controlled Mosaic,
    0:17:29 which is like, I got to decide what people saw.
    0:17:30 – Okay.
    0:17:32 – And so I made sure they saw my resume.
    0:17:33 – Okay.
    0:17:33 – Yeah.
    0:17:34 – Nice.
    0:17:35 (laughing)
    0:17:36 – Yeah, yeah.
    0:17:37 – That’s a growth hack.
    0:17:38 – Yeah, yeah, it’s a growth hack.
    0:17:39 For your career, you just go in the browser
    0:17:42 and you add to the browser a button to see your resume.
    0:17:45 And so in fairness, I didn’t put it on the homepage,
    0:17:48 which I could have done, that was a step too far,
    0:17:50 but I put it in the about page.
    0:17:50 – Okay.
    0:17:54 – And so I got a set of offers, some on the East Coast,
    0:17:55 some on the West Coast.
    0:17:56 I almost joined the Java team.
    0:17:57 – No kidding.
    0:17:59 – In ’94, yeah, ’94 when I first came out here.
    0:18:00 (laughing)
    0:18:01 But they offered me–
    0:18:02 – When it was called Oak.
    0:18:03 – It was called Oak at the time.
    0:18:04 This was Java pre-Java.
    0:18:06 And they, but they, at the time it was a,
    0:18:09 it was a spin-out from sun, but it was only a partial spin-out.
    0:18:10 And so they offered me something
    0:18:11 called Phantom Stock Options.
    0:18:14 – So, you know, but it’s also funny
    0:18:16 because all of us were thinking about,
    0:18:19 okay, there’s gonna be this network-centric future.
    0:18:22 But most people were framing it in yesterday’s metaphor.
    0:18:24 They were talking about the digital superhighway.
    0:18:25 – Yeah, that’s right.
    0:18:27 – And so as a result, people thought the center of gravity
    0:18:29 is gonna be like set-top boxes and video game consoles.
    0:18:33 And I don’t know if others had this reaction,
    0:18:36 but when I first saw the Mosaic browser,
    0:18:38 it was instant, like instant ignition,
    0:18:40 this is how it’s gonna play out, right?
    0:18:42 I just immediately knew the way
    0:18:43 we’ve been thinking about this is wrong.
    0:18:45 It’s not gonna happen on these set-top boxes.
    0:18:47 It may someday, but like the browser
    0:18:49 is gonna happen right here, right now.
    0:18:51 Like there was just no doubt in my mind, right?
    0:18:52 – Well, no, so what I would nominate on the point
    0:18:53 that you made, I think the point you made
    0:18:55 is an important point that we see all the time
    0:18:57 in our day job, and we see it all the time today,
    0:18:59 which is it’s like, it’s, I would nominate
    0:19:00 two kinds of dynamics to that.
    0:19:03 So top-down versus bottom-up.
    0:19:04 – Yeah.
    0:19:05 – And one-way versus two-way.
    0:19:06 – Yep.
    0:19:08 – Right, and these are still battles that are playing out.
    0:19:09 I mean, this is the whole battle
    0:19:10 on cryptocurrency that’s happening right now.
    0:19:11 Like you see this all over the industry,
    0:19:12 all over the world, like this battle,
    0:19:15 and by the way, this is like many of global politics
    0:19:16 are based on this battle right now.
    0:19:18 And so top-down versus bottom-up,
    0:19:19 like the view at that time, right,
    0:19:20 it was the information superhighway,
    0:19:23 it was gonna be sort of, it was gonna be set-top boxes,
    0:19:25 interactive television, but it was gonna be provided
    0:19:26 by big companies.
    0:19:27 – Yeah, or should the government–
    0:19:28 – Or the government.
    0:19:29 – Yeah, they built the regular highway,
    0:19:31 should they build a digital superhighway,
    0:19:34 and that’ll help us against Japan, quote-unquote.
    0:19:35 – Exactly, that was the big thing.
    0:19:36 That was the thought process.
    0:19:38 – Family, the country that was gonna take everything
    0:19:40 at the time, but it was gonna be top-down.
    0:19:41 And so the magazines and newspapers,
    0:19:43 100% of the coverage, 100% of the commentary,
    0:19:45 like all of the media coverage, it was all around,
    0:19:46 it was gonna be, right, the government,
    0:19:48 or it was gonna be Time Warner in those days,
    0:19:52 or AT&T, or Verizon, or the big cable company
    0:19:54 with a predecessor to Comcast.
    0:19:57 And so it was gonna be these giant media telecom companies.
    0:19:59 And then Microsoft and Oracle,
    0:20:00 giant software companies were trying
    0:20:01 to kind of wedge their way in
    0:20:03 to kind of be part of it, is top-down thing.
    0:20:05 But they would decide what it was gonna be.
    0:20:08 And then that goes to the second thing,
    0:20:09 which is One Way versus Two Way,
    0:20:11 which was it was gonna be a primarily video,
    0:20:13 but a one-way push, right?
    0:20:15 And so this is why the whole metaphor
    0:20:16 is that 500 channels, like the whole thing was,
    0:20:18 oh, today you’ve got 14 TV channels,
    0:20:20 in the future you’ll have 500.
    0:20:21 That’s the information.
    0:20:22 – And it’ll be interactive TV.
    0:20:23 – Well, it’ll be interactive TV.
    0:20:24 – You’ll be able to push a button, or a pizza.
    0:20:26 – You’ll have remote control.
    0:20:28 You won’t have a keyboard, right, or a mouse,
    0:20:29 or anything unless you get into trouble.
    0:20:30 – You’ll just have a button
    0:20:32 that has a slice of pizza on it.
    0:20:33 – Yeah, exactly, exactly.
    0:20:34 We really had those.
    0:20:35 – Or like, you know, American Idol,
    0:20:37 basically, they’ll all be like American Idol.
    0:20:38 It’ll just be like, oh, you can vote for the person
    0:20:40 who’s singing the best, or something like that.
    0:20:43 But the idea that an individual user
    0:20:45 was gonna be contributing into this environment,
    0:20:47 the idea that an individual user
    0:20:49 would be publishing a video, right,
    0:20:51 or making a post, or anything like that,
    0:20:53 was just like setting up a website.
    0:20:55 There was just, there was no incorporation
    0:20:57 of that kind of two-way idea at all.
    0:21:00 And so, I think what put the whammy on people was,
    0:21:03 if you came from the established power structure,
    0:21:05 if you came from the big companies,
    0:21:07 or the press that was used to covering the big companies,
    0:21:11 it obviously had to be top down in one way, right?
    0:21:13 And by the way, the press, the press was one way at that time.
    0:21:15 I mean, this was before the audience could talk back.
    0:21:17 And so, if you were at Time Magazine,
    0:21:18 or NBC News, or The New York Times,
    0:21:19 like you were used to–
    0:21:21 – You controlled the conversation.
    0:21:22 – Yeah, exactly, and like, maybe you published
    0:21:23 the occasional editor to the editor,
    0:21:24 but like, you constrained that shit.
    0:21:26 Like, you don’t let people get carried away.
    0:21:28 And that’s, you know, 1/48th of the space
    0:21:30 on, you know, one page of the paper.
    0:21:32 And so, there was that.
    0:21:33 And so, all the people who thought
    0:21:35 that they were in a position to decide had this,
    0:21:36 had that view.
    0:21:39 But then, all the regular people, right?
    0:21:41 Or at least especially the, let’s just say,
    0:21:44 the nerds, including ourselves, the regular people,
    0:21:45 the people who were just like,
    0:21:46 “Look, I just want to be able to do things.”
    0:21:47 – Yeah.
    0:21:48 – Right, and by the way, do things.
    0:21:50 I want to be able to consume, but I also want to create,
    0:21:51 and I want to contribute, and I want to build.
    0:21:55 – Yeah, and the thing that I’ve just seen time and again,
    0:21:56 it’s like, you think about it,
    0:21:58 when you were at the University of Illinois,
    0:22:00 you’re hanging out with his supercomputers,
    0:22:02 and you’re building a browser.
    0:22:04 It’s almost like the world was thinking
    0:22:05 in Cartesian coordinates,
    0:22:08 and you were raised only thinking polar coordinates, right?
    0:22:12 And so, like, your mind was prepared to receive the insight,
    0:22:14 because like you said, you were living in the future.
    0:22:16 You may not have even known it at the time
    0:22:17 that you were living in the future,
    0:22:21 but it just, and like so much of entrepreneurship I found is,
    0:22:22 it’s like noticing.
    0:22:25 It’s, you’re living in the future,
    0:22:27 and you notice something, and you solve your own problem.
    0:22:29 And you’re not necessarily trying to get rich at the time.
    0:22:32 You’re just like, I’m working on cool stuff,
    0:22:34 and to do more cool stuff, I got to build this thing.
    0:22:35 So, yeah.
    0:22:36 – When I found it with myself,
    0:22:37 or I found it with the other founders
    0:22:39 who are like what you’re describing is,
    0:22:39 it’s just obvious.
    0:22:43 Like it’s just like, oh, obviously this should be this way.
    0:22:45 But then there’s like cognitive dissonance,
    0:22:46 which is like, if it’s so obvious,
    0:22:48 why hasn’t everybody figured this out yet?
    0:22:50 Now, most of the time, when people come to that conclusion,
    0:22:51 – They’re just wrong.
    0:22:54 – They’re just wrong, or insane, right?
    0:22:56 – They have a vision, but it’s like a hallucination vision.
    0:22:58 – Exactly, exactly.
    0:22:59 But every once in a while,
    0:23:01 you’ve got somebody who really does decode something.
    0:23:02 And I think to your point,
    0:23:05 on kind of the preconditions for it,
    0:23:06 some of it is you get to see the,
    0:23:07 you get to see the early kind of pings.
    0:23:09 I always talk about like, they’re pings from the future.
    0:23:11 Is there a way that, like,
    0:23:13 you can see these things actually running today.
    0:23:14 And so you get in a position
    0:23:15 where you can see something like that.
    0:23:16 So that’s part of it.
    0:23:17 But the other thing that happens is,
    0:23:19 just like you get to operate,
    0:23:21 it’s the people who get to operate with new assumptions.
    0:23:22 – Right, right.
    0:23:24 – Yeah, and like when you’re your age,
    0:23:26 starting Netscape, you don’t have to translate, right?
    0:23:29 Like people who lived in Cartesian coordinates,
    0:23:31 they have to translate to go to polar, right?
    0:23:33 And so people who lived in the world of,
    0:23:36 tops down one way digital superhighway interactive TV,
    0:23:40 they had to translate that to what you were already doing.
    0:23:42 But to you, it’s just obvious, right?
    0:23:44 It’s like there wasn’t anything for you to unlearn.
    0:23:47 – Yeah, and then on top of that, I had no power, right?
    0:23:49 And so like, I was not the CEO of AT&T.
    0:23:52 Like I couldn’t do any of the stuff
    0:23:53 that all these fancy people could do.
    0:23:55 I didn’t have that level of control.
    0:23:57 And so like anything that I was going to do
    0:23:59 was gonna have to be bottomed up.
    0:24:00 It was gonna have to be two-way.
    0:24:01 Like, you know, kind of by definition,
    0:24:03 if it wasn’t two-way, I’d be blocked out.
    0:24:05 – So then speaking of powerful people,
    0:24:07 how did you find Jim Clark?
    0:24:08 Or how did you guys connect?
    0:24:10 – And this is where I got really lucky.
    0:24:14 So Jim Clark, kind of quick recap, Jim Clark at that time,
    0:24:15 Jim Clark had been the founder
    0:24:17 and original CEO of Silicon Graphics,
    0:24:19 which was at the time, you know, the companies,
    0:24:20 as you said, you were there.
    0:24:22 It was the company at the time,
    0:24:23 it’s probably most analogous today to,
    0:24:26 I don’t know, some combination of, I don’t know, Google.
    0:24:29 And I mean, it was like, it was the company.
    0:24:32 It was the company that all the smart,
    0:24:33 it was like, if you were a smart person
    0:24:34 in the computer industry, it was the company
    0:24:36 you either worked for or wanted to work for.
    0:24:39 It was like the brain center of the industry.
    0:24:41 And this was when they really drove
    0:24:43 computer graphics to be what they are today.
    0:24:45 – Total GWIS company, right?
    0:24:47 Best graphics engineers in the world,
    0:24:48 best networking engineers in the world,
    0:24:50 ’cause you have to push the pixels over network.
    0:24:52 I mean, it was just an incredible place to be.
    0:24:53 – Fortunately for me, Jim had a problem.
    0:24:56 And the problem was Jim had grown very dissatisfied
    0:24:59 with the state of affairs at Silicon Graphics at the time.
    0:25:00 He got frustrated by a number of things.
    0:25:02 He left the company.
    0:25:04 He decided to start his second company.
    0:25:06 But he had a very specific problem,
    0:25:09 which was that he had a non-solicit at SGI.
    0:25:11 So he had spent the previous 15 years
    0:25:13 hiring all the smartest people he knew in the world into SGI,
    0:25:15 and now he couldn’t take them with him.
    0:25:17 And so he literally had like a,
    0:25:19 he had a, what’s that called, a warm meat problem.
    0:25:26 He didn’t have any bodies to work on, to work with him.
    0:25:28 And so he literally went out to a whole bunch of people
    0:25:31 in the industry who he knew, who weren’t at SGI,
    0:25:32 and he talked to them about maybe,
    0:25:35 you wanna start something or work on something.
    0:25:38 And then he met me through a mutual, a guy,
    0:25:40 actually a guy, he worked with SGI who I didn’t know,
    0:25:41 but who knew about me.
    0:25:43 He was actually one of the guys at SGI
    0:25:45 who actually was responsible for all the demos.
    0:25:46 They were a famous demo company.
    0:25:48 – Oh yeah, that’s how we sold our computers.
    0:25:49 – Yeah, and so the guy who ran the,
    0:25:51 I think it was designed the demos
    0:25:53 or built the demos for the briefing center.
    0:25:57 Basically it was up on all the leading edge stuff
    0:25:58 ’cause he was the demo guy,
    0:26:00 and so he basically knew about all this stuff.
    0:26:03 And so he, I apparently happened to mention at Jim
    0:26:04 that A, that I existed,
    0:26:07 and then B, that I had just recently moved out here.
    0:26:09 And so I get a random call from Jim Clark,
    0:26:10 like one afternoon being like, hey.
    0:26:12 – Okay, and did you know who he was?
    0:26:14 – Oh yes, yeah, no, it’s like, literally,
    0:26:15 it’s like Steve Jobs calls you,
    0:26:17 or you’re like, marriage age calls you.
    0:26:19 Hey, you know, and this is Larry Page,
    0:26:21 would you like to talk about starting new companies?
    0:26:22 You know, you’re like, oh, okay.
    0:26:23 – You think?
    0:26:25 – All right, you know, gee, I don’t know,
    0:26:26 let me check my calendar, right?
    0:26:26 – Yeah, yeah.
    0:26:28 (laughing)
    0:26:29 – So I’m like, yeah, you know,
    0:26:32 basically, yeah, sure, name the time and place.
    0:26:34 – And so did you guys get on pretty well
    0:26:35 in the early days?
    0:26:36 – Yeah, so a couple of things happened.
    0:26:38 So one is to my enormous shock,
    0:26:39 the other people he were talking to,
    0:26:41 the other people he was talking to were too risk averse,
    0:26:43 and they didn’t, and I should also,
    0:26:45 this was during a very sort of down period
    0:26:46 in Silicon Valley.
    0:26:48 This was not an exciting time.
    0:26:49 This was like ’93, ’94.
    0:26:51 So there had been a really big recession
    0:26:52 and a lot of companies had failed.
    0:26:53 And so there were a lot of people
    0:26:54 who just like wanted a job.
    0:26:55 – Yeah.
    0:26:57 – But he did not get as nearly a positive response
    0:27:00 as I would have imagined from a lot of people
    0:27:01 who had like actual, you know,
    0:27:02 and had careers, let’s say.
    0:27:05 And so through process of elimination,
    0:27:07 in part, I think it came down to me.
    0:27:10 And then he and I started brainstorming.
    0:27:12 And we actually, well, and then, yeah,
    0:27:14 and then we started working together on plans.
    0:27:18 – So he wasn’t saying, I want Mark Andreessen,
    0:27:19 because he invented the Mosaic browser.
    0:27:24 It’s like, I can’t get any of these killer SGI engineers.
    0:27:25 He’s maybe another new smart guy
    0:27:27 that I can get and not get sued.
    0:27:29 – Yeah, I think that’s part of it.
    0:27:31 And I think it’s, you know, probably just channeling Jim.
    0:27:32 He probably, you know, at the very least,
    0:27:33 he knows how to build something new.
    0:27:33 – Yeah.
    0:27:35 – You know, which not everybody does.
    0:27:36 And so at least he’s done it once before.
    0:27:39 But the reason why the escape idea was not obvious
    0:27:40 is because even after all of that,
    0:27:42 it still wasn’t obvious that the internet would be a business.
    0:27:45 And part of that was it wasn’t a business,
    0:27:46 like nobody had made it into a business.
    0:27:47 – Yeah.
    0:27:48 – And so there was just, it was just this thing,
    0:27:50 which he goes to the top, bottom, sub thing,
    0:27:51 which is just like, even after all that,
    0:27:53 and I saw the adoption cycle and the whole thing,
    0:27:54 and I stayed on all the mailing lists,
    0:27:55 and I saw everything.
    0:27:56 It was just like, okay, like, I don’t know.
    0:27:58 Like, what are we gonna, like, this is all open source.
    0:28:00 Like, you know, there’s no commercial transactions
    0:28:00 on the internet.
    0:28:02 It had been illegal to do commercial transactions
    0:28:04 on the internet until 1993.
    0:28:06 And this is only the spring of 1994.
    0:28:07 So there was no e-commerce.
    0:28:08 There’s no Amazon.
    0:28:09 There was none of that stuff.
    0:28:09 – Yep.
    0:28:10 – There was literally nothing to buy.
    0:28:11 There was no money.
    0:28:12 There was no nothing.
    0:28:12 Right.
    0:28:15 And so it was just like, okay, there was not an obvious business
    0:28:16 to be built.
    0:28:18 – And I remember for a couple of years, right,
    0:28:21 Upside Magazine at the time and things like that would say,
    0:28:24 you know, when’s the internet gonna have a business model?
    0:28:24 – Yeah, right.
    0:28:26 – For about two years, people said nobody’s
    0:28:27 gonna have a business model.
    0:28:27 – Yeah, this is absurd.
    0:28:28 Everybody knows this thing.
    0:28:30 – Even Yahoo, people said, well, great,
    0:28:31 but no business model.
    0:28:32 – Yeah, of course, yeah.
    0:28:32 And Google had no business model.
    0:28:34 Like, all these things, yeah.
    0:28:35 None of these things had business models.
    0:28:35 Right, exactly.
    0:28:39 So basically, so, and then Jim had been in meshed,
    0:28:41 you know, selling graphics had gotten in meshed
    0:28:45 in two areas that were, goes back to the conversation
    0:28:46 about having interactive TV.
    0:28:48 So they were actually the provider of the technology
    0:28:50 for the Time Warner Interactive TV Project,
    0:28:53 which was like the most viable, it was the most
    0:28:55 actually developed version of the top-down information
    0:28:57 superhighway thing at the time in Orlando, Florida.
    0:28:58 This was written up in all the magazines
    0:28:59 and newspapers at the time.
    0:29:02 It was a really cool like system that’s kind of analogous
    0:29:04 to what you have today on a modern, you know,
    0:29:06 whatever Comcast or Direct TV set-top box or something,
    0:29:09 heard like Netflix kind of experience in 1994.
    0:29:10 It was impressive.
    0:29:12 It was just, it was like the capital cost per house
    0:29:14 was like, I don’t know, $60,000.
    0:29:14 Yeah, it was crazy.
    0:29:17 We had some of our high-end gear, right, power those boxes.
    0:29:18 It was not.
    0:29:19 So there was no, so we basically set out,
    0:29:21 plan number one was to build the software layer
    0:29:23 for interactive TV and then we basically realized,
    0:29:25 oh, shit, there’s not going to be actually
    0:29:26 any interactive TV.
    0:29:28 Like, the economics actually don’t work.
    0:29:31 And then the other decision was,
    0:29:34 SGI was building the graphics chip for the Nintendo,
    0:29:37 the Nintendo 64, the first game console with 3D graphics.
    0:29:41 And so the idea basically was to build what today
    0:29:42 you’d call like Xbox Live or PlayStation Live
    0:29:45 to build basically the network for Nintendo 64.
    0:29:47 The problem was Nintendo 64 was not going to ship
    0:29:48 for another two years.
    0:29:50 So literally we got to the point where we were like,
    0:29:51 okay, those two plans don’t work.
    0:29:52 And then it was like, are we going to,
    0:29:53 like, what are we going to do?
    0:29:54 Process of elimination.
    0:29:57 Okay, so if top-down interactive TV isn’t going to work
    0:29:59 and interactive gaming at that point wasn’t going to work,
    0:30:00 then what’s left?
    0:30:00 Yeah.
    0:30:02 What’s left is the internet, right?
    0:30:04 And so it’s like, okay, process of elimination,
    0:30:05 this thing that nobody’s taking seriously,
    0:30:07 that nobody thinks can be a business
    0:30:09 that breaks all the rules, that’s bottom’s up, that’s organic.
    0:30:12 By the way, messy and hackers and crime.
    0:30:14 And you probably don’t even think it’s a business yet.
    0:30:15 No, yeah.
    0:30:17 Well, now I have no actual business experience at that point.
    0:30:19 So I have no basis to evaluate anything in business.
    0:30:21 But however, it seemed like a stretch.
    0:30:25 But like, if it’s the only thing, then it’s going to win.
    0:30:25 Right.
    0:30:26 Because the only thing.
    0:30:28 Is the thing.
    0:30:28 Is the thing.
    0:30:31 And so it was weird because Jim was like,
    0:30:32 oh, that makes total sense.
    0:30:34 And what Jim actually realized, I think to his credit,
    0:30:38 was he was so, he was so, SGI was so powerful at that point
    0:30:40 that he was able, he was, he was in that,
    0:30:41 he was in that top down world.
    0:30:44 And he, and so he, I think he would say like,
    0:30:47 he was so fully in it and of it that he thought
    0:30:48 that that was how the world was going to work.
    0:30:50 And he was doing his best to make it work
    0:30:51 that way when he was in SGI.
    0:30:54 But then he’s got such amazing mental flexibility,
    0:30:56 which is extraordinarily rare to have somebody
    0:30:57 who’s this flexible in their thought process,
    0:30:59 where he was just like, when he got into this new context,
    0:31:01 he was kind of just shedding assumptions.
    0:31:03 He was able to replant himself into a true startup context.
    0:31:05 And able to shed all the assumptions and say,
    0:31:06 okay, from a standing start, what would you do?
    0:31:08 And come into a completely different set of conclusions.
    0:31:11 – Yeah, so then you decide to start this thing.
    0:31:12 – Right.
    0:31:17 – And you raise money from, well, he seed funds it at first.
    0:31:19 He’s probably already been seed funding
    0:31:20 just your little vision quest.
    0:31:21 – No.
    0:31:22 – No, no, okay.
    0:31:24 So you’re just on this vision quest.
    0:31:27 By process of elimination, it’s like, okay, we’re doing this.
    0:31:33 Then you just go raise money from John Dorr Kleiner Perkins or?
    0:31:34 – See, we ran about six months with Jim.
    0:31:36 We ran about six months with Jim’s money.
    0:31:38 And then it’s like, I’m rich, but I’m not that rich.
    0:31:42 And so he was like, we’re time to go raise money.
    0:31:44 So Jim zeroed in at Kleiner Perkins
    0:31:46 because KP had actually backed Son,
    0:31:48 which was SGI’s big competitor.
    0:31:49 And he had always really received,
    0:31:51 he told me he’d always really respected how…
    0:31:54 Son, both companies ended up being very successful,
    0:31:56 but Son had a much faster takeoff rate out of the gate.
    0:31:59 And then he had always respected how John went about
    0:32:01 being a board member at Son.
    0:32:03 – Okay, so you raised some money for Netscape.
    0:32:07 Not sure if it’s a business yet, but hey, let’s go for it.
    0:32:11 And this must be around the time when Mosaic
    0:32:13 has started to see even bigger lift, right?
    0:32:17 Because I seem to remember the summer of ’94,
    0:32:19 it was starting to really become a thing.
    0:32:21 – So it just knew it was a snowball rolling down the hill,
    0:32:24 picking up speed, and it was starting to mainstream.
    0:32:25 And so you were starting to be able to…
    0:32:26 You’re starting to get the first signs of consumers
    0:32:29 actually coming on the thing, which is normal people,
    0:32:30 which is like a big deal at the time.
    0:32:31 You’re starting to have companies
    0:32:33 starting to start launch websites.
    0:32:34 So it was around that time,
    0:32:35 I think it was around that time that AT&T
    0:32:39 ran the first internet ad on at the time.
    0:32:40 And because Wired had created a website
    0:32:42 and they ran the first internet ad on…
    0:32:44 The reason we have all these banner ads
    0:32:47 is because the first ad was a banner ad for AT&T on thewired.com.
    0:32:50 – When did you switch from Mosaic to Netscape?
    0:32:56 – Mosaic had been the name of the project at Illinois.
    0:32:58 We didn’t bring any of the code with us.
    0:33:00 It was… The code was open source,
    0:33:02 but copyright, University of Illinois.
    0:33:03 So we decided, and we needed to rewrite it anyway,
    0:33:05 because we needed a bunch of stuff in the code
    0:33:06 like security that we didn’t have.
    0:33:11 So we wanted to do a clean rewrite with what we knew now.
    0:33:13 But we figured it’s the name of the research project.
    0:33:17 I knew Sun, the name Sun was actually named after the research project at…
    0:33:19 Stanford spawned Sun was actually called
    0:33:21 the Sun Research Project.
    0:33:22 – Stanford University Network.
    0:33:23 – Exactly, exactly.
    0:33:25 So I was like, it’s not a…
    0:33:27 It’s just like the name of the research projects.
    0:33:29 It’s like a… It’s a free thing.
    0:33:32 So it’s just obviously we’ll just call this thing Mosaic Communications.
    0:33:33 We’ll figure out the product name later.
    0:33:38 And then University of Illinois then did a very sort of clever thing
    0:33:40 I had not seen before, and I don’t think I’ve seen Suns,
    0:33:41 which is they didn’t sue us.
    0:33:45 Instead, they sent lawyers to all of our potential customers
    0:33:46 and told them they were going to sue us.
    0:33:50 And so they’ve freezed us in our tracks.
    0:33:52 They basically blocked our ability to do business,
    0:33:55 because then they alleged to basically a broad range
    0:33:57 of trademark and copyright violations.
    0:33:58 The copyright violations weren’t true
    0:34:00 because we didn’t take any of the code,
    0:34:02 but they threatened to sue us for that.
    0:34:04 And then we had this problem, which is we had this name,
    0:34:07 which there’s ambiguity as to whether there was a trademark on it or not,
    0:34:10 but there did seem to be a clear…
    0:34:11 – Hard to explain away.
    0:34:12 – Yeah, yeah, yeah, yeah.
    0:34:13 Just like inconvenient facts, as they say.
    0:34:18 And so we actually ended up suing them before,
    0:34:20 I believe it’s what is it, restraint to trade and purchase…
    0:34:23 – So are you feeling kind of pissed at them right about now,
    0:34:25 like thermonuclear super pissed?
    0:34:27 – Yeah, right about now, like today, sitting here?
    0:34:28 – Yeah, even now.
    0:34:29 – Very much so, yes.
    0:34:31 Yes, I’m still extremely angry.
    0:34:33 Thank you for asking.
    0:34:35 – How does that make you feel, Mark?
    0:34:37 – Exactly, exactly.
    0:34:41 We’ll pick that up in part two, the psychotherapy section of the thing.
    0:34:42 So we actually ended up suing them,
    0:34:44 and we actually ended up suing them,
    0:34:46 and then we negotiated a settlement and we paid them,
    0:34:48 and as part of the settlement, we changed the name.
    0:34:48 – Okay.
    0:34:52 – Yeah, and that was the last penny.
    0:34:54 – So you changed the name to Netscape.
    0:34:57 – So then, so you do the Netscape browser,
    0:34:59 did it just immediately blow up?
    0:35:01 I mean, it was just everybody knew who you were,
    0:35:04 everybody knew that you were the voice of browsers, it just…
    0:35:05 – Yeah.
    0:35:05 – So like what was it?
    0:35:06 – That was a super fact.
    0:35:08 Well, it was this thing of,
    0:35:10 it was basically a continuation of the Mosaic phenomenon,
    0:35:11 and we were the clear inheritors of that
    0:35:12 because we had built it,
    0:35:14 and so it was just one of these things where like,
    0:35:16 it was a cold start as a company,
    0:35:19 but it was building directly in the momentum from the previous thing,
    0:35:20 and then we knew, what else do we know?
    0:35:22 We knew Illinois was not going to continue the Mosaic project
    0:35:23 because we knew they didn’t…
    0:35:24 – Yeah, they didn’t want to do it.
    0:35:25 – Right, exactly.
    0:35:28 And so we kind of knew that it had to be picked up.
    0:35:29 And then look, the other thing was like,
    0:35:30 there were just a set of things that you just,
    0:35:32 you needed, like it was time,
    0:35:34 it was time to be able to like do financial transactions, right?
    0:35:36 So it was time that you needed encryption,
    0:35:38 which the original browser didn’t have.
    0:35:44 – So then, so was there any sort of palpable moment
    0:35:47 where you’re just like, holy crap, this is blowing up,
    0:35:49 or had it kind of already blown up
    0:35:51 even before Netscape really got started?
    0:35:54 Like was there any moment where you’re inside a Netscape
    0:35:56 and you’re just like, holy shit?
    0:35:57 – Well, the big moment was the night of the original release
    0:36:00 of the browser where we hooked up one of the computers
    0:36:04 to the stereo system and had the Canon fire sound effect
    0:36:05 for every time somebody downloaded it.
    0:36:07 And the Canon started to go off before long.
    0:36:09 The Canon was going off continuously.
    0:36:11 – Like how long?
    0:36:13 – Oh, that was like in a couple, that was a few hours.
    0:36:15 But I mean, that was, but again,
    0:36:16 it was feeding on this moment.
    0:36:18 It was just like everybody, yeah.
    0:36:19 We knew everybody who was using Mosaic.
    0:36:20 We knew how to get to them.
    0:36:21 We just said, hey, there’s this new thing.
    0:36:22 It was much better.
    0:36:24 I mean, it was built correctly.
    0:36:25 It was our second implementation.
    0:36:28 And so we just, we knew it was better.
    0:36:30 – Okay. And so now it’s probably what the,
    0:36:32 this is probably late ’94?
    0:36:34 – Yeah.
    0:36:36 – Okay. And so, and if I remember,
    0:36:41 you went public like in early ’95 with no profits.
    0:36:41 – August.
    0:36:42 – Did you have any revenue yet?
    0:36:43 – Yeah, yeah. So we had revenue.
    0:36:45 We doubled revenue every quarter of that year.
    0:36:47 So the revenue that year was,
    0:36:49 my quarter was 5 million, 10 million, 20 million and 40 million.
    0:36:52 And we went cash flow positive,
    0:36:54 like I think right around the time we were,
    0:36:55 we went public.
    0:36:56 And I think we were,
    0:36:57 if I remember correctly,
    0:36:59 we were cash flow positive continuously
    0:37:00 all the way to when we sold the company.
    0:37:01 So one of the legends that,
    0:37:03 one of the legends myths that built up around the company
    0:37:04 is that it was this early precursor
    0:37:06 for these unprofitable companies.
    0:37:06 – Really?
    0:37:07 – And actually we,
    0:37:08 we actually prodded ourselves at the time
    0:37:11 of like delivering cash flow basically through the whole thing.
    0:37:13 – So was the decision to go public pretty obvious then
    0:37:14 at the time?
    0:37:16 It was just like your revenues are exploding.
    0:37:18 People want the product.
    0:37:19 – It was obvious to Jim.
    0:37:22 So, so yeah.
    0:37:23 So like, what’s it like?
    0:37:25 So you’re just barely out of college
    0:37:27 and all this stuff’s happening around you.
    0:37:28 Like what’s that like?
    0:37:30 – You know, it was just,
    0:37:30 I mean, it was literally,
    0:37:32 we were so heads down.
    0:37:33 It was just like, you know,
    0:37:34 go work somewhere.
    0:37:35 There was one of those things.
    0:37:37 There was so much to do.
    0:37:38 There was so much to do.
    0:37:39 I mean, it’s like it’s building a company
    0:37:39 which is incredibly hard,
    0:37:40 but on the top of that,
    0:37:42 like the whole thing started to work.
    0:37:42 And then there’s just like,
    0:37:44 you have like a thousand ideas.
    0:37:44 – Yeah.
    0:37:44 – Right.
    0:37:45 And then it’s just-
    0:37:46 – Well, and a few more customer support calls.
    0:37:47 – And all that.
    0:37:49 Yeah, all this, all this other infrastructure to build.
    0:37:49 And you know, and then look,
    0:37:50 I’m learning business.
    0:37:52 I’m learning like basically all the business on the fly.
    0:37:52 Right.
    0:37:53 – Uh-huh.
    0:37:54 – I’m basically learning like, you know,
    0:37:55 I don’t know, whatever is in an MBA,
    0:37:57 plus another 10 years of operating experience.
    0:37:57 – Yep.
    0:38:00 – You know, and like as fast as I possibly can.
    0:38:00 Right.
    0:38:01 So I’m basically either like,
    0:38:02 I’m either at work or I’m like,
    0:38:03 at home reading business books.
    0:38:05 Like those were the only two things that I did.
    0:38:09 – So now you know about the theories
    0:38:11 of product market fit and all that stuff.
    0:38:14 Like how do you reconcile what happened at Netscape
    0:38:15 with the notion of product market fit?
    0:38:16 Like, yeah.
    0:38:18 So how do you, because it just seems
    0:38:19 like one of these rare cases
    0:38:21 where it’s just like lightning just struck
    0:38:23 and it was like huge right away.
    0:38:25 – I think for B2B, there’s like,
    0:38:26 there are deterministic ways to try
    0:38:27 to get to product market fit.
    0:38:30 For consumer stuff, it’s less clear to me even still.
    0:38:31 – Yeah.
    0:38:32 – We actually use the term lightning strike.
    0:38:33 – Yeah.
    0:38:34 – It may just be.
    0:38:35 Well, here’s one of the questions.
    0:38:36 It’s like, there are these companies,
    0:38:38 there are quite a few companies that have had
    0:38:41 lightning strike consumer hits in the last 20 years.
    0:38:42 And that led to the creation
    0:38:43 of like very interesting companies.
    0:38:44 And there’s probably, I don’t know,
    0:38:47 in the U.S. alone, 50 or 100 or 150 of those, right?
    0:38:49 How many of those, how many of those ever had another one?
    0:38:50 – Yeah, very few.
    0:38:52 – In the same company that they didn’t have
    0:38:53 to go acquire from outside.
    0:38:54 – Yeah.
    0:38:56 – And I think it’s maybe zero.
    0:38:58 – Now people talk about the internet
    0:39:02 as being easy for hackers to get to fundamentally insecure
    0:39:05 as an architecture or needs to be rethought in some ways.
    0:39:08 Knowing what you know now, are there things
    0:39:09 that you think you could have done
    0:39:11 or that Netscape could have done
    0:39:15 that may have made it play out a little differently?
    0:39:16 – Yeah, so there’s three big things,
    0:39:18 there’s three big things that we should have done
    0:39:21 that would have made a big difference early on.
    0:39:23 And one of them, well, there’s one thing we did
    0:39:25 that mattered a lot, I’ll talk about that.
    0:39:27 There’s one thing we tried to do and couldn’t get there,
    0:39:28 which remains a hot topic today.
    0:39:30 And there’s a third thing that didn’t even occur to us,
    0:39:31 which I kicked myself, we didn’t think about this,
    0:39:32 but I’ll explain why we didn’t think about it.
    0:39:35 So the thing that we did do is we got encryption in there.
    0:39:36 – That’s huge.
    0:39:38 – And that was a fight then.
    0:39:41 By the way, it looks like it’s gonna be a fight again now.
    0:39:44 The various Western governments are once again,
    0:39:46 pushing to try to restrict the use of strong encryption.
    0:39:48 Like we, and for people who don’t know the history of that,
    0:39:51 like we fought that battle and Netscape navigator
    0:39:54 was the first commercial implementation of encryption
    0:39:55 that became widely used.
    0:39:56 There had been other products before,
    0:39:58 but we were the first one that millions of people used.
    0:40:03 And so we, at the time, we developed Netscape
    0:40:05 to have strong encryption in the browser method.
    0:40:08 The browser was classified under U.S. federal law
    0:40:09 with criminal penalties as a munition.
    0:40:12 It was classified in the same export control category
    0:40:13 as Tomahawk missiles.
    0:40:16 And so we were not allowed to export.
    0:40:17 The version was stronger encryption.
    0:40:18 We could sell it in the U.S., we couldn’t export it.
    0:40:21 We had to deliberately export it, we had to export it weakened version.
    0:40:21 – Wow.
    0:40:24 – So our sales pitch to a user in, you know,
    0:40:25 France or Australia or something is like,
    0:40:27 “Hey, congratulations, you get the one that’s easy to crack.”
    0:40:28 – Okay.
    0:40:28 – Yeah, you know.
    0:40:31 – The U.S. government can have their way with it.
    0:40:32 – I hope you like it.
    0:40:32 Right, exactly.
    0:40:35 Yeah, and I say, has it pre-wired effectively
    0:40:36 because they could just crack it easily.
    0:40:40 And so we fought really hard in the ’90s,
    0:40:42 since there was an encryption wars at the time.
    0:40:44 And ultimately, the government actually backed down.
    0:40:47 And as of like ’97 or whatever, they actually changed policy.
    0:40:48 And they actually legalized,
    0:40:50 essentially legalized strong encryption globally
    0:40:52 for U.S. companies to be able to build products globally.
    0:40:55 That battle keeps getting refought.
    0:40:57 And it has come, and probably in my view,
    0:40:57 it’s come back to life.
    0:41:00 I think it’s just an absurd thing to be.
    0:41:03 It’s just like, do you want secure systems or not?
    0:41:03 – Right.
    0:41:04 – Could somebody please decide?
    0:41:05 – Right.
    0:41:07 – If you don’t want secure systems, fine.
    0:41:08 I guess we’ll stop trying to build them.
    0:41:10 I guess they’ll get built in other countries.
    0:41:12 And the U.S. tech industry will not be relevant anymore.
    0:41:13 So that’s an option.
    0:41:13 – Yeah.
    0:41:15 – But if you want American companies to win at tech,
    0:41:17 like maybe we should be able to build secure systems.
    0:41:18 And if you want us to be able to protect
    0:41:21 and defend the United States against cyber terrorism
    0:41:23 and criminals and all this stuff, presumably that’s a good idea.
    0:41:25 But anyway, we got that one in there.
    0:41:29 The one that we tried to do was integrated financial transactions.
    0:41:33 So payments, obviously, was something that you would want.
    0:41:35 And we tried to build that in.
    0:41:36 We tried hard there.
    0:41:39 The problem there is, obviously, money payments transactions
    0:41:41 have been historically highly regulated.
    0:41:42 – Right.
    0:41:44 – And so we made arguably the mistake in that case
    0:41:46 of asking for permission, which is we went to the banks
    0:41:48 and the credit card companies.
    0:41:49 – We should have let the pirates go crazy.
    0:41:49 – Probably.
    0:41:51 The problem was we didn’t have the technology yet.
    0:41:52 We didn’t have Bitcoin.
    0:41:53 We didn’t have cryptocurrency.
    0:41:54 This was pre-cryptocurrency.
    0:41:55 – Yeah.
    0:41:57 – And so had we let the pirates go crazy,
    0:41:58 we would have had to just implement a system
    0:42:01 that just let you transfer money with no permission.
    0:42:02 – Yeah.
    0:42:04 – And probably we would have gotten nuked for that.
    0:42:05 – Yeah.
    0:42:06 That would have even been worse than the encryption.
    0:42:07 – Yeah.
    0:42:09 Like PayPal figured out a way to bootstrap a system
    0:42:11 a few years later, but they almost died.
    0:42:12 Like they came close to dying.
    0:42:13 – Yeah.
    0:42:15 – They almost got regulated out of existence.
    0:42:16 They just barely got through it.
    0:42:20 And so that was the big one that we should have had
    0:42:21 and we missed.
    0:42:21 But we did try.
    0:42:24 And that’s one of the reasons why I’m so strong now,
    0:42:27 so positive on cryptocurrency and blockchain and Bitcoin
    0:42:28 and Ethereum and all these things today.
    0:42:30 It’s just like internet scale, money, and trust
    0:42:31 needs to happen.
    0:42:31 – Yeah.
    0:42:33 – It was a huge problem that we didn’t have it early.
    0:42:36 Had we had internet scale, money, and trust wired in early,
    0:42:38 like the internet economy today would not be based
    0:42:38 on advertising.
    0:42:38 – Yeah.
    0:42:39 – Right?
    0:42:41 It would not be based on any of this privacy stuff
    0:42:42 that people are worried about today.
    0:42:43 It would be based on money and trust.
    0:42:43 – Yeah.
    0:42:45 – And it would be a fundamentally better, stronger system.
    0:42:49 And so, and so we like with our view is like
    0:42:51 with cryptocurrency, we have a chance to go back
    0:42:52 and kind of redo that.
    0:42:52 – Yeah.
    0:42:54 – Now, of course, they’re trying to, in various forms,
    0:42:55 keep that from happening as well.
    0:42:56 – Yeah.
    0:42:59 – They, but we’re going to try.
    0:43:01 And then the one that I wish we had had,
    0:43:03 but we just didn’t even occur to us
    0:43:05 as real names, real identities.
    0:43:06 – Oh, interesting.
    0:43:08 – Which is the other part of trust, right?
    0:43:10 Which is like, okay, who are you dealing with?
    0:43:10 – Yep.
    0:43:10 – Right?
    0:43:13 And so all the issues, you know, spam and fraud
    0:43:15 and like all these issues of abuse and harassment,
    0:43:16 all that stuff.
    0:43:17 Like it’s basically, you can’t solve any of that stuff
    0:43:18 if you don’t have real names.
    0:43:21 And so, I mean, it’s hard enough to solve those problems
    0:43:22 when you have real names.
    0:43:22 – Yeah.
    0:43:23 – It’s impossible to do it
    0:43:24 if you don’t have real names, I think.
    0:43:26 – Okay.
    0:43:27 Well, thanks, Mark.
    0:43:28 – Good.
    0:43:28 – Thank you, Mike.
    0:43:29 – Great talking to you.
    0:43:32 [music]
    0:43:34 Thanks for listening to Starting Greatness.
    0:43:37 You can follow me on Twitter @M2JR
    0:43:39 and please shoot me an email with any comments
    0:43:41 or questions to greatness@floodgate.com.
    0:43:44 I hope you’ll subscribe on Apple, Spotify,
    0:43:46 or wherever you get your podcasts.
    0:43:48 And if you like the show, I’d be grateful
    0:43:50 if you could leave us a review on Apple podcasts.
    0:43:54 Never let go of your inner power to do great things
    0:43:55 in whatever matters to you.
    0:43:58 And until we meet again, remember,
    0:44:00 Greatness is a Decision.
    0:44:05 [music]
    0:44:15 [BLANK_AUDIO]

    As part of a new series where we will share select a16z partner appearances on other podcasts with our audience here, this episode is cross-posted from the new show Starting Greatness — featuring interviews with startup builders before they were successful — hosted by Mike Maples junior.

    In the conversation, a16z co-founder Marc Andreessen shares some rare, behind-the-scenes details of his story from 0 to 1 — from the University of Illinois and Mosaic to Netscape — and along the journey, really, to product-market fit… 

  • #402: Books I’ve Loved — Seth Godin and Esther Perel

    Books I’ve Loved — Seth Godin and Esther Perel | Brought to you by Hu

    Welcome to another episode of The Tim Ferriss Show, where it is my job to sit down with world-class performers of all different types—from startup founders and investors to chess champions to Olympic athletes. This episode, however, is an experiment and part of a shorter series I’m doing called “Books I’ve Loved.” I’ve invited some amazing past guests, close friends, and new faces to share their favorite books — the books that have influenced them, changed them, and transformed them for the better. I hope you pick up one or two new mentors — in the form of books — from this new series and apply the lessons in your own life.

    Seth Godin (@thisissethsblog) is the author of 19 bestselling books that have been translated into more than 35 languages. He writes about the way ideas spread, marketing, strategic quitting, leadership, and — most of all — challenging the status quo in all areas. His books include LinchpinTribesThe DipPurple CowThis Is Marketing: You Can’t Be Seen Until You Learn to See, and What to Do When it’s Your Turn (and it’s Always Your Turn). Seth is also the founder of the altMBA, an intense four-week online leadership and management workshop.

    Esther Perel (@estherperel) is a psychotherapist and New York Times bestselling author of Mating in Captivity, which has been translated into 26 languages, and The State of Affairs: Rethinking Infidelity. On her podcast Where Should We Begin? Esther brings you into her office to listen to real life couples therapy sessions, and her newest Spotify project, How’s Work?, brings lessons from couples therapy to the corner office.

    Enjoy!

    You can find all links from this episode in the show notes.

    This podcast is brought to you by Hu. Founded by family trio Jason Karp, his wife Jessica, and his brother-in-law Jordan Brown, Hu started as a paleo-inspired restaurant in NYC in 2012, and now they make amazing, plant-based healthy snacks, including their award-winning paleo/vegan dark chocolate. Their Simple Bar, of which I’ve devoured several in one sitting without crashing, has only three ingredients: organic cacao, organic cocoa butter, and organic coconut sugar, without any soy or other junk.

    The Hu tagline is “Get Back to Human” because they believe people can feel and perform better when they eat foods with cleaner, simpler, less-processed, and less-industrial ingredients. Hu avoids emulsifiers, palm oil, dairy, soy or sunflower lecithin, and sugar alcohols. And all of Hu’s products are Certified Gluten Free, kosher, and Non-GMO. Get 15 percent off your Hu order by visiting hukitchen.com/tim and using discount code TIM at checkout. Make haste, as their holiday shipping cutoff is December 18!

    ***

    If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds, and it really makes a difference in helping to convince hard-to-get guests.

    For show notes and past guests, please visit tim.blog/podcast.

    Sign up for Tim’s email newsletter (“5-Bullet Friday”) at tim.blog/friday.

    For transcripts of episodes, go to tim.blog/transcripts.

    Interested in sponsoring the podcast? Please fill out the form at tim.blog/sponsor.

    Discover Tim’s books: tim.blog/books.

    Follow Tim:

    Twittertwitter.com/tferriss 

    Instagraminstagram.com/timferriss

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    Past guests on The Tim Ferriss Show include Jerry Seinfeld, Hugh Jackman, Dr. Jane Goodall, LeBron James, Kevin Hart, Doris Kearns Goodwin, Jamie Foxx, Matthew McConaughey, Esther Perel, Elizabeth Gilbert, Terry Crews, Sia, Yuval Noah Harari, Malcolm Gladwell, Madeleine Albright, Cheryl Strayed, Jim Collins, Mary Karr, Maria Popova, Sam Harris, Michael Phelps, Bob Iger, Edward Norton, Arnold Schwarzenegger, Neil Strauss, Ken Burns, Maria Sharapova, Marc Andreessen, Neil Gaiman, Neil de Grasse Tyson, Jocko Willink, Daniel Ek, Kelly Slater, Dr. Peter Attia, Seth Godin, Howard Marks, Dr. Brené Brown, Eric Schmidt, Michael Lewis, Joe Gebbia, Michael Pollan, Dr. Jordan Peterson, Vince Vaughn, Brian Koppelman, Ramit Sethi, Dax Shepard, Tony Robbins, Jim Dethmer, Dan Harris, Ray Dalio, Naval Ravikant, Vitalik Buterin, Elizabeth Lesser, Amanda Palmer, Katie Haun, Sir Richard Branson, Chuck Palahniuk, Arianna Huffington, Reid Hoffman, Bill Burr, Whitney Cummings, Rick Rubin, Dr. Vivek Murthy, Darren Aronofsky, and many more.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  • Rohit Prasad: Amazon Alexa and Conversational AI

    Rohit Prasad is the vice president and head scientist of Amazon Alexa and one of its original creators.

    This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts or support it on Patreon.

    This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”. 

    The episode is also supported by ZipRecruiter. Try it: http://ziprecruiter.com/lexpod

    Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    00:00 – Introduction
    04:34 – Her
    06:31 – Human-like aspects of smart assistants
    08:39 – Test of intelligence
    13:04 – Alexa prize
    21:35 – What does it take to win the Alexa prize?
    27:24 – Embodiment and the essence of Alexa
    34:35 – Personality
    36:23 – Personalization
    38:49 – Alexa’s backstory from her perspective
    40:35 – Trust in Human-AI relations
    44:00 – Privacy
    47:45 – Is Alexa listening?
    53:51 – How Alexa started
    54:51 – Solving far-field speech recognition and intent understanding
    1:11:51 – Alexa main categories of skills
    1:13:19 – Conversation intent modeling
    1:17:47 – Alexa memory and long-term learning
    1:22:50 – Making Alexa sound more natural
    1:27:16 – Open problems for Alexa and conversational AI
    1:29:26 – Emotion recognition from audio and video
    1:30:53 – Deep learning and reasoning
    1:36:26 – Future of Alexa
    1:41:47 – The big picture of conversational AI

  • #401: Gary Keller — How to Focus on the One Important Thing

    Gary Keller — How to Focus on the One Important Thing | Brought to you by ShipStation and Ring.

    “My life is better when I’m spontaneous after I’ve done my most important thing. Being spontaneous before that, that’s where it becomes a distraction and does me harm.” — Gary Keller

    Gary Keller (@garykeller) is the co-founder, chairman, and CEO of Keller Williams (KW), the world’s largest real estate franchise by agent count. In 2019, KW, which also ranks number one in units and sales volume in the US, was named by Fast Company as the “most innovative company” in real estate.

    In 2015, Gary began driving KW’s evolution into a technology company, now focused on building the real estate platform that agents, buyers, and sellers prefer. He is competing with multi-billion-dollar, venture-backed companies using his own money. Gary is the bestselling author of The ONE Thing: The Surprisingly Simple Truth Behind Extraordinary Results, The Millionaire Real Estate Agent, The Millionaire Real Estate Investor, and SHIFT: How Top Real Estate Agents Tackle Tough Times.

    You can find Gary’s podcast, Think Like a CEO, on Apple Podcasts, Spotify, or wherever you typically get your podcasts.

    Please enjoy!

    This episode is brought to you by ShipStation. Do you sell stuff online? Then you know what a pain the shipping process is. ShipStation was created to make your life easier — whether you’re selling on eBay, Amazon, Shopify, or over 100 other popular selling channels. ShipStation lets you access all of your orders from one simple dashboard, it works with all of the major shipping carriers, locally and globally, including FedEx, UPS, and USPS. 

    Tim Ferriss Show listeners get to try ShipStation free for 60 days by using promo code TIM. There’s no risk and you can start your free trial without even entering your credit card info. Just visit ShipStation.com, click on the microphone at the top of the homepage, and type in TIM!

    This episode is also brought to you by Ring. You might already know about its smart video doorbells and cameras that protect millions of people everywhere. Ring helps you stay connected to your home from anywhere in the world. So if there’s a package delivery or a surprise visitor, you’ll get an alert and be able to see, hear, and speak to whoever is at your door—all from your phone. Ring’s core mission is to make neighborhoods safer.

    I’ve used Ring for years now. It catches and records all the regular stuff like deliveries and so on, but it’s also saved my ass a few times, catching weirdos and weird things. Ring is key to my peace of mind, and as a listener of The Tim Ferriss Showyou can get a special rate for your own Ring Welcome Kit — which includes a video doorbell and a Chime Pro — by going to Ring.com/Tim(U.S. Only).

    ***

    If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds, and it really makes a difference in helping to convince hard-to-get guests.

    For show notes and past guests, please visit tim.blog/podcast.

    Sign up for Tim’s email newsletter (“5-Bullet Friday”) at tim.blog/friday.

    For transcripts of episodes, go to tim.blog/transcripts.

    Interested in sponsoring the podcast? Please fill out the form at tim.blog/sponsor.

    Discover Tim’s books: tim.blog/books.

    Follow Tim:

    Twittertwitter.com/tferriss 

    Instagraminstagram.com/timferriss

    Facebookfacebook.com/timferriss 

    YouTubeyoutube.com/timferriss

    Past guests on The Tim Ferriss Show include Jerry Seinfeld, Hugh Jackman, Dr. Jane Goodall, LeBron James, Kevin Hart, Doris Kearns Goodwin, Jamie Foxx, Matthew McConaughey, Esther Perel, Elizabeth Gilbert, Terry Crews, Sia, Yuval Noah Harari, Malcolm Gladwell, Madeleine Albright, Cheryl Strayed, Jim Collins, Mary Karr, Maria Popova, Sam Harris, Michael Phelps, Bob Iger, Edward Norton, Arnold Schwarzenegger, Neil Strauss, Ken Burns, Maria Sharapova, Marc Andreessen, Neil Gaiman, Neil de Grasse Tyson, Jocko Willink, Daniel Ek, Kelly Slater, Dr. Peter Attia, Seth Godin, Howard Marks, Dr. Brené Brown, Eric Schmidt, Michael Lewis, Joe Gebbia, Michael Pollan, Dr. Jordan Peterson, Vince Vaughn, Brian Koppelman, Ramit Sethi, Dax Shepard, Tony Robbins, Jim Dethmer, Dan Harris, Ray Dalio, Naval Ravikant, Vitalik Buterin, Elizabeth Lesser, Amanda Palmer, Katie Haun, Sir Richard Branson, Chuck Palahniuk, Arianna Huffington, Reid Hoffman, Bill Burr, Whitney Cummings, Rick Rubin, Dr. Vivek Murthy, Darren Aronofsky, and many more.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  • 365: Market Saturation, Mind Mapping, Miracle Mornings, and More: 20 Questions with Nick

    It’s time to dive into the ol’ listener mailbag and answer a few questions in this week’s edition of The Side Hustle Show.

    I’ve had quite a few interesting questions come in since the last Q&A episode, and picked 20 to talk through in today’s show.

    Like this format?

    This is the 9th installment of “20 Questions” so feel free to go back and binge on the older ones too:

    A common piece of advice you’ll hear is to take audience questions and turn them into content, so here’s a meta example of that in action.

    This episode covers market saturation, getting up earlier, mapping out content, and lots more.

    Enjoy!

    Full Show Notes: Market Saturation, Mind Mapping, Miracle Mornings, and More: 20 Questions with Nick