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[Music]
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n
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I'm not going to ask you anything
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generic or anything I've heard you
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answer already uh I'm going to be a
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little selfish and ask you questions
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that uh I try to answer for myself a lot
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of the time maybe like you know uh
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there's no better person to learn
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[Music]
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from so we do this once in a month Bill
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and uh we primarily cater to to the
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young entrepreneur in India uh the idea
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is to get really good people on the show
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and help a young 20-year-old boy or girl
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in India who's looking to become an
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entrepreneur give them uh advice
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guidance help them learn from what you
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might have learned already I've met Bill
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a bunch of times I think the very first
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time I met you was uh when I caught you
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at we and bugged you for an hour with
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random questions a few years ago I
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joined Bill's bletch last year thank uh
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the one thing I want to clarify is a lot
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of Indians when they hear about a Indian
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sign on to the pledge I think there's
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four of us right we're all from
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Bangalore and all of us are friends uh
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people somehow assume that the money is
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going out of India the money which is
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going to make Society better uh it's
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actually not the case and uh I would
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also like to say I think the Gates
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Foundation who I work worked with in the
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past we've done a school project
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together we're doing something around
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malnutrition together I think the impact
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and the effort that they're putting into
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India in improving Society uh is is uh
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is great and I hope you guys continue
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this association with India for a long
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time do you want to talk a little bit
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about your relationship with India and
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how it's evolved over the last many
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years well I've been I've had a
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fantastic relationship with India
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starting with the the Microsoft
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experience where and we hired some very
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smart I graduates brought them to
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Seattle later they go back uh create a
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development center for us uh that's now
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in four locations 25,000 people and of
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course a lot of the amazing people I
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work with and have so much fun uh in the
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Microsoft success with are part of the
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team who had hired from India you know
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top of that list is SAA uh who know uh
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is doing a great job of CEO so in my
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digital first career uh the connection
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to India was uh fun and made a huge
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difference um in what the company was
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able to achieve it was during that time
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that I was kind of learning oh wow India
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is such a study and contrast you know
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you know first class in so many ways but
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still a lot of poverty uh and challenges
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and uh you know I was beginning to think
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okay how do I give this money back uh
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together with uh Melinda and so she came
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over as we were starting to do
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foundation work um I start the
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foundation I fund it in the year 2000 so
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I'm 45 years old and still um
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full-time I stayed full-time for another
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uh eight
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years uh but IND you become comes you
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know an important place for us because
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we realize that
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vaccines uh were this missing uh thing
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and it was a crime that these uh
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diarrhea rotavirus vaccines were getting
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to the rich kids so you know I get to
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know serum I learn
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about making cheap uh
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vaccines uh you know the Indian
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government at the time had not adopted
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new vaccines for a long time you know so
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uh how do we is foreigners uh form
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Partnerships and not come across uh in
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the wrong way so it's a heck of a
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learning curve uh another big program we
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had here at the start called avahan uh
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was about making sure that the HIV
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epidemic didn't explode you know by
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making sure that um the sex workers were
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insisting on conomus and so that the the
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numbers would stay small and that was
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also quite successful and very much a
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partnership with the government um you
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know other than the US this is the
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country we spend the most money in uh we
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have a fantastic team of people here do
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you want to put a number to that in
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terms of the scale of how much the
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foundation does in India yeah we do uh
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if you take direct and indirect uh it'd
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be close to a billion a year you know we
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help buy vaccines through uh gavi we uh
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fund a lot of different things our
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foundation is about 9 billion a year and
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our health is our biggest agriculture is
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our second biggest education uh although
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super important uh it's not uh super
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high percentage because we're
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so specialized on the health stuff uh
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and we've had so much uh progress on
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that we want to uh make sure we do that
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super well I'm not going to ask you
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anything generic or anything I've heard
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you answer already uh I'm going to be a
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little selfish and ask you questions
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that uh I try to answer for myself a lot
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of the time maybe like you know uh
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there's no better person to learn from
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when it comes to uh Society at
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large a lot of really wealthy people
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today uh are virtue signaling in the
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manner that being wealthy is a Bad Thing
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somehow it it it's starting to seem like
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the class and race divides of yesterday
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has become the new uh wealth divide has
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become that thing in society today uh
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which is very socialist in the very
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thinking of it inherently socialist when
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people think of it that way and when I
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go on my own path of philanthropy I
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often ask myself like even at the pledge
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I find myself asking this question does
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philanthropy in that sense truly makes
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sense and me as a 37 year-old who's
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starting on this path how do I think
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about this well there are some things
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that only philanthropy can do because
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they require taking risks and you know
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the basic needs of the people the safety
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net that's not really the role of
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philanthropy because you need to count
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on that year in and year out and the
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government you know through the
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political process needs to decide that
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and of course the market-based system is
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where most of this wealth comes from and
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anything the market can do you know like
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how many restaurants like this should we
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have you know the market does that so
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well but we know there are
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diseases and
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challenges that either the government's
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not Innovative enough or the market
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opportuni is not enough that the two big
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actors you know private sector you know
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which is like you know 70% of the
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economy and you know the government
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which is like
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28% this third sector which is only a
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few
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percent can step in to do when we had uh
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Democratic capitalism there was always
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this concern that the poorest would kind
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of overtax the Rich and that the
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incentive system would be broken down in
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fact you know that really hasn't
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happened you you have in northern Europe
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very high tax rates but even there the
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incentive system works so I think it's
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it's important to separate out is my
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country's tax system as Progressive as
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it should be uh so when you look at
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billionaires you know do they kind of
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have more than they should and then if
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you look at whatever the billionaires
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have o left over after they paid their
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taxes are they engaging in thoughtful uh
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philanthropy are they kind of spoiling
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their children uh who are kind of
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arrogant to view themselves in a class
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of Their Own
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uh and being kind of extravagant in what
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they do and that's very hard you know to
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draw the line what is uh that
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responsibility even with the giving
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pledge this idea give back half you know
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some people say well half if you have
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you know $4 billion dollar that means
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for your own consumption and your your
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family you're keeping two billion well
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it's not a upper bound we'll have you
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know people who will give away
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99% but it and it's great to debate
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these things
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because um you know we're not trying to
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take over government functions we
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couldn't possibly afford afford to do
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that uh but a lot of the best government
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programs if you look into them some
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philanthropist funded the pilot you know
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brought together talented people and
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often you're using the same skills that
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you cause you to be able to be
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successful and now using it on behalf of
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of equality you know how do you design a
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school or take AI technology into a a
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farmer's advisory system uh and that
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that experience that sense of
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urgency uh can be very helpful in
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philanthropic Innovation I'm I'm with
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you when you say that the anomalies of
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capitalism the billionaires on the very
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end should be taxed higher but if you
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had to redesign societ do you think
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capitalism over socialism any day well
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capitalism gives you the freedom to
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start a new business and try out a new
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product and the idea of okay who do
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people choose to buy
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from that's a form of freedom because
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it's not based on your background or
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your class or something like that and so
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the discovery power of the capitalistic
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Market to oh this guy knows how to do
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this cheaper this guy knows how to do
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this better oh you know people are
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interested in that kind of a movie um
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you know tops down
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systems even though with lots of Digital
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Data you could run a tops down syst
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system less ineptly than
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say the Soviets or the North Koreans did
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but still the discovery process and the
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price comparison that takes place
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there's it is it is the fundamental way
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things should be done but government has
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to look for monopolies it has to create
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the safety net you know you can argue
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about the relative role of the
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government in education and in health
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care but they need to make sure that uh
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everybody gets those Services right
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you're looking fitter than I remember
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seeing you the last yeah I know I've
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been playing more tennis a little more
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pickle ball uh it's because really
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picking up that much it is in India in
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North America it's unbelievable
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particularly California Florida I mean
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it's actually more people play
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Pickleball now than play tennis right uh
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so it's actually passed it
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by uh the last time we met I kept
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bugging you about what supplements do
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you take now that you've gotten even
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healthier looking is there any hack that
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you would like to recommend to young
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entrepreneurs I take vitamins you know
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because it's there's no downside so
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getting blood tests every once in a
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while and seeing if there's anomalies uh
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that's good and now there's a thing
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called The Grail test um it's not
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covered by all Insurance in the US so
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probably not by much in India but if you
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can afford it uh that is almost magical
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00:12:50,079 --> 00:12:52,880
at helping to see cancers way before
275
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other techniques would catch
276
00:12:55,399 --> 00:12:58,120
those uh so we have a foundation bill
277
00:12:58,120 --> 00:13:00,279
which does work around clate it's called
278
00:13:00,279 --> 00:13:01,199
rain
279
00:13:01,199 --> 00:13:04,880
matter uh just for the sake of not
280
00:13:04,880 --> 00:13:06,680
having this debate publicly let's
281
00:13:06,680 --> 00:13:09,800
between us assume climate change is real
282
00:13:09,800 --> 00:13:12,240
uh I've heard you speak about uh the
283
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Breakthrough energy fund energy
284
00:13:14,279 --> 00:13:16,839
transition appears to be a big
285
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opportunity for young entrepreneurs to
286
00:13:18,800 --> 00:13:22,040
work in over the next decade are there
287
00:13:22,040 --> 00:13:26,120
any sub facets of that if I were a
288
00:13:26,120 --> 00:13:29,240
22-year-old boy or girl wanting to to
289
00:13:29,240 --> 00:13:31,120
build a career in energy
290
00:13:31,120 --> 00:13:33,240
transition uh where do you think there
291
00:13:33,240 --> 00:13:36,639
are most Tailwinds what factor should I
292
00:13:36,639 --> 00:13:40,480
focus on well because the sources of
293
00:13:40,480 --> 00:13:45,320
emissions are so Broad and we need deep
294
00:13:45,320 --> 00:13:48,800
innovation in many many areas so for
295
00:13:48,800 --> 00:13:50,360
electricity
296
00:13:50,360 --> 00:13:52,480
generation you know we've got to make
297
00:13:52,480 --> 00:13:55,279
solar cells better we have to make off-
298
00:13:55,279 --> 00:13:58,680
win cheaper um there's probably
299
00:13:58,680 --> 00:14:01,040
something dramatic that can happen in
300
00:14:01,040 --> 00:14:02,079
nuclear
301
00:14:02,079 --> 00:14:04,839
fision uh hopefully something dramatic
302
00:14:04,839 --> 00:14:07,959
that can happen happen in nuclear fusion
303
00:14:07,959 --> 00:14:11,800
uh in the long run that may be uh the
304
00:14:11,800 --> 00:14:13,480
cheapest source of electricity now we
305
00:14:13,480 --> 00:14:17,160
have some companies uh trying to get
306
00:14:17,160 --> 00:14:19,800
there you know over in the agricultural
307
00:14:19,800 --> 00:14:24,160
space um rice uh is a huge source of
308
00:14:24,160 --> 00:14:26,639
emissions and there's new ideas about
309
00:14:26,639 --> 00:14:29,480
genetics and direct seaing with house
310
00:14:29,480 --> 00:14:32,480
you can vaccinate them change the
311
00:14:32,480 --> 00:14:35,759
genetics uh in the industrial side you
312
00:14:35,759 --> 00:14:38,440
can try to get cheap green hydrogen or
313
00:14:38,440 --> 00:14:41,079
you can try and change the process for
314
00:14:41,079 --> 00:14:44,959
example steel instead of using a form of
315
00:14:44,959 --> 00:14:47,759
coal uh you could use electricity for
316
00:14:47,759 --> 00:14:49,519
the reduction and
317
00:14:49,519 --> 00:14:54,040
so I'd say there's probably 20 areas
318
00:14:54,040 --> 00:14:57,480
that if you want to help in climate
319
00:14:57,480 --> 00:15:01,839
Innovation uh these things are are
320
00:15:01,839 --> 00:15:04,079
begging uh and I think it will be
321
00:15:04,079 --> 00:15:06,120
startups and of course they'll have
322
00:15:06,120 --> 00:15:08,920
tie-ups with big companies but the
323
00:15:08,920 --> 00:15:11,040
open-mindedness most these breakthroughs
324
00:15:11,040 --> 00:15:12,560
won't come straight out of the big
325
00:15:12,560 --> 00:15:14,720
companies is there a starting point
326
00:15:14,720 --> 00:15:17,000
though let's assume I have no Capital at
327
00:15:17,000 --> 00:15:20,199
hand and I'm 22 starting off in
328
00:15:20,199 --> 00:15:25,120
Bangalore uh how do I how do I go about
329
00:15:25,120 --> 00:15:27,519
attempting to be a part of the energy
330
00:15:27,519 --> 00:15:29,680
transition solution the ideal is
331
00:15:29,680 --> 00:15:32,079
actually to find a philanthropist um
332
00:15:32,079 --> 00:15:33,639
breakthrough energy has a fellows
333
00:15:33,639 --> 00:15:35,880
program where we look for people with
334
00:15:35,880 --> 00:15:39,079
really uh good early stage ideas and we
335
00:15:39,079 --> 00:15:41,199
do that as a
336
00:15:41,199 --> 00:15:44,279
grant uh with a little bit of of options
337
00:15:44,279 --> 00:15:46,800
but you don't need a business plan then
338
00:15:46,800 --> 00:15:48,759
if you get past that stage either on
339
00:15:48,759 --> 00:15:51,040
your own or with the uh fellas type
340
00:15:51,040 --> 00:15:53,680
Grant then there are Venture Capital
341
00:15:53,680 --> 00:15:55,959
groups that really specialize in finding
342
00:15:55,959 --> 00:15:58,040
Climate Technologies and they're willing
343
00:15:58,040 --> 00:16:03,480
to fund very risky stuff um and I know
344
00:16:03,480 --> 00:16:04,800
all of them including breakthrough
345
00:16:04,800 --> 00:16:07,240
energy are like gosh are we missing some
346
00:16:07,240 --> 00:16:12,000
in India and so now there's a network
347
00:16:12,000 --> 00:16:14,199
you know if you have a good idea you
348
00:16:14,199 --> 00:16:16,440
know if you pass it to me if non-one
349
00:16:16,440 --> 00:16:18,600
pass it to me there's a bunch of us
350
00:16:18,600 --> 00:16:20,639
Venture Capal and hopefully some who
351
00:16:20,639 --> 00:16:23,600
would also come in domestically uh so
352
00:16:23,600 --> 00:16:26,880
for risk Capital uh this is a very good
353
00:16:26,880 --> 00:16:30,240
time if you have something that that
354
00:16:30,240 --> 00:16:32,079
looks attractive could have a
355
00:16:32,079 --> 00:16:33,720
significant
356
00:16:33,720 --> 00:16:36,759
impact artificial general
357
00:16:36,759 --> 00:16:40,399
intelligence uh you know more about this
358
00:16:40,399 --> 00:16:41,880
than most
359
00:16:41,880 --> 00:16:45,240
people how do you think Society changes
360
00:16:45,240 --> 00:16:47,600
if you could paint a dystopian and a
361
00:16:47,600 --> 00:16:51,000
utopian picture let's say there is Agi
362
00:16:51,000 --> 00:16:54,720
what happens to the society post AGI
363
00:16:54,720 --> 00:16:59,319
from a jobs what is money what is societ
364
00:16:59,319 --> 00:17:01,279
what is family
365
00:17:01,279 --> 00:17:04,160
standpoint well the amazing thing about
366
00:17:04,160 --> 00:17:10,120
this technology is um we know it can
367
00:17:10,120 --> 00:17:12,919
help uh in key areas we know it can
368
00:17:12,919 --> 00:17:15,520
create like educational tutors lot of
369
00:17:15,520 --> 00:17:18,760
great pilot work uh several projects
370
00:17:18,760 --> 00:17:21,760
here in India Salon in the US is the one
371
00:17:21,760 --> 00:17:26,760
that um may have started the 1 and is is
372
00:17:26,760 --> 00:17:29,400
uh showing great results on that
373
00:17:29,400 --> 00:17:32,840
so the potential is incredible and if if
374
00:17:32,840 --> 00:17:36,880
we knew that all it did was make a lot
375
00:17:36,880 --> 00:17:39,919
of jobs say three times more
376
00:17:39,919 --> 00:17:42,360
productive so doctors are three times
377
00:17:42,360 --> 00:17:45,320
more productive so you know the demand
378
00:17:45,320 --> 00:17:47,320
for more people to see doctors and get
379
00:17:47,320 --> 00:17:49,440
good advice that's probably good for
380
00:17:49,440 --> 00:17:52,400
software um you know we'll still need
381
00:17:52,400 --> 00:17:54,600
those software Engineers well we may
382
00:17:54,600 --> 00:17:56,480
take some of the extra productivity for
383
00:17:56,480 --> 00:17:59,280
Quality some for quantity but we're not
384
00:17:59,280 --> 00:18:04,159
going to um you know start uh not not
385
00:18:04,159 --> 00:18:07,120
needing software Engineers the fact that
386
00:18:07,120 --> 00:18:11,280
over time and we don't know the the rate
387
00:18:11,280 --> 00:18:14,360
of improvement um and there doesn't seem
388
00:18:14,360 --> 00:18:16,720
to be an upper bound if it gets so that
389
00:18:16,720 --> 00:18:20,200
it's a complete replacement that it can
390
00:18:20,200 --> 00:18:23,000
do all the medical advice or it can do
391
00:18:23,000 --> 00:18:25,960
all the coding that's a world of
392
00:18:25,960 --> 00:18:29,400
excess where you know it's it's got to
393
00:18:29,400 --> 00:18:31,840
be wonderful in the sense that you know
394
00:18:31,840 --> 00:18:34,240
handicap people old people you're you
395
00:18:34,240 --> 00:18:35,600
know taking care of them you're
396
00:18:35,600 --> 00:18:38,480
shortening the the work week but you can
397
00:18:38,480 --> 00:18:41,600
get to a point where the very organizing
398
00:18:41,600 --> 00:18:44,799
principles of society uh and the whole
399
00:18:44,799 --> 00:18:48,120
philosophy about you know what you value
400
00:18:48,120 --> 00:18:50,360
um that world of excess which I
401
00:18:50,360 --> 00:18:52,440
personally think won't come in the next
402
00:18:52,440 --> 00:18:54,640
20 years but I can't guarantee that you
403
00:18:54,640 --> 00:18:58,039
know I was personally not expecting this
404
00:18:58,039 --> 00:19:00,120
reading writing
405
00:19:00,120 --> 00:19:03,240
breakthrough to take place just because
406
00:19:03,240 --> 00:19:06,320
you know gpt3 got scaled up to
407
00:19:06,320 --> 00:19:09,240
gp4 but that really showed something
408
00:19:09,240 --> 00:19:12,360
profound in knowledge
409
00:19:12,360 --> 00:19:16,679
representation uh had taken place and so
410
00:19:16,679 --> 00:19:18,559
most of us are working on the hey let's
411
00:19:18,559 --> 00:19:21,200
go build that tutor and that Health
412
00:19:21,200 --> 00:19:24,440
advisor and farmer adviser um but while
413
00:19:24,440 --> 00:19:28,240
we do that we should be aware that okay
414
00:19:28,240 --> 00:19:31,559
so so much extra productivity
415
00:19:31,559 --> 00:19:35,600
will uh surprise people and require us
416
00:19:35,600 --> 00:19:38,880
to rethink uh about a lot of different
417
00:19:38,880 --> 00:19:42,799
things so when Sam Alman was in India he
418
00:19:42,799 --> 00:19:45,840
fielded a bunch of questions around chat
419
00:19:45,840 --> 00:19:49,760
jpt and uh generative AI per se when
420
00:19:49,760 --> 00:19:52,799
these large language models take as much
421
00:19:52,799 --> 00:19:55,600
computational power as they require an
422
00:19:55,600 --> 00:19:58,120
Indian entrepreneur who has lesser
423
00:19:58,120 --> 00:20:00,559
access to Capital compared to a western
424
00:20:00,559 --> 00:20:04,840
one how does an Indian entrepreneur
425
00:20:04,840 --> 00:20:06,960
compete with the West in this domain
426
00:20:06,960 --> 00:20:09,679
without the same kind of access you know
427
00:20:09,679 --> 00:20:12,400
that's a very good question so if you're
428
00:20:12,400 --> 00:20:14,120
an entrepreneur who's trying to build
429
00:20:14,120 --> 00:20:16,720
foundational models models from the very
430
00:20:16,720 --> 00:20:20,280
ground up like Google does or Microsoft
431
00:20:20,280 --> 00:20:22,760
with opening eye does and they have four
432
00:20:22,760 --> 00:20:23,520
five
433
00:20:23,520 --> 00:20:26,880
others you have to raise you know two
434
00:20:26,880 --> 00:20:30,400
three billion dollars uh now maybe some
435
00:20:30,400 --> 00:20:32,000
government will decide because you're
436
00:20:32,000 --> 00:20:34,280
domestic they'll help you do that or
437
00:20:34,280 --> 00:20:37,760
provide some of that but there should
438
00:20:37,760 --> 00:20:40,000
either be like zero one or two cases
439
00:20:40,000 --> 00:20:41,960
where an Indian company goes after that
440
00:20:41,960 --> 00:20:45,520
very base level uh and hopefully focuses
441
00:20:45,520 --> 00:20:49,320
on some specific Indian applications of
442
00:20:49,320 --> 00:20:52,760
that uh most of the
443
00:20:52,760 --> 00:20:55,760
opportunity is at the level above you
444
00:20:55,760 --> 00:20:57,559
know where you're saying okay let's take
445
00:20:57,559 --> 00:21:00,360
this and help Architects or let's take
446
00:21:00,360 --> 00:21:03,520
this and help this group of farmers or
447
00:21:03,520 --> 00:21:05,400
you know the Indian legal system is very
448
00:21:05,400 --> 00:21:07,080
different believe me
449
00:21:07,080 --> 00:21:09,760
what legal things are done for the US
450
00:21:09,760 --> 00:21:12,360
won't apply here but you know just
451
00:21:12,360 --> 00:21:14,880
imagine if you could make everybody the
452
00:21:14,880 --> 00:21:17,799
legal system four times more productive
453
00:21:17,799 --> 00:21:20,679
you know that changes Justice because
454
00:21:20,679 --> 00:21:22,000
right now the
455
00:21:22,000 --> 00:21:26,919
backlog uh is kind of nightmarish um and
456
00:21:26,919 --> 00:21:29,320
and here you know comes potential
457
00:21:29,320 --> 00:21:32,520
solution so I'd say there's a thousand
458
00:21:32,520 --> 00:21:35,840
opportunities where you you're you Pi
459
00:21:35,840 --> 00:21:38,480
either pick or just use one of those
460
00:21:38,480 --> 00:21:41,120
base level models but you're doing the
461
00:21:41,120 --> 00:21:44,000
extra data value added user interface to
462
00:21:44,000 --> 00:21:47,000
go after a particular application that I
463
00:21:47,000 --> 00:21:50,039
think will is where we'll see the most
464
00:21:50,039 --> 00:21:52,559
activity uh if somebody's bold enough to
465
00:21:52,559 --> 00:21:54,400
say no I'm going after foundational
466
00:21:54,400 --> 00:21:56,720
piece you know Screw you Bill Gates you
467
00:21:56,720 --> 00:21:59,520
don't know I say hey good for you you
468
00:21:59,520 --> 00:22:02,679
know I I could be wrong we are in you
469
00:22:02,679 --> 00:22:06,559
know this is all very new uh stop are
470
00:22:06,559 --> 00:22:08,799
there any arbitrages in place like a
471
00:22:08,799 --> 00:22:11,760
unique Advantage India either by virtue
472
00:22:11,760 --> 00:22:14,840
of population or the demographic
473
00:22:14,840 --> 00:22:18,159
diversity has that that will help a
474
00:22:18,159 --> 00:22:20,799
young entrepreneur focus on a particular
475
00:22:20,799 --> 00:22:22,600
facet around building
476
00:22:22,600 --> 00:22:27,159
this um or is there a legal Arbitrage is
477
00:22:27,159 --> 00:22:30,080
regulation better here than that I think
478
00:22:30,080 --> 00:22:31,320
it's very
479
00:22:31,320 --> 00:22:35,080
possible that the health advice piece
480
00:22:35,080 --> 00:22:38,400
that the US will over regulate that and
481
00:22:38,400 --> 00:22:41,159
uh you know just see the the risk and
482
00:22:41,159 --> 00:22:44,200
not not the benefit and that middle
483
00:22:44,200 --> 00:22:47,120
income countries and I put India at the
484
00:22:47,120 --> 00:22:49,400
top of the list will engage in a
485
00:22:49,400 --> 00:22:51,799
dialogue and and drive very aggressively
486
00:22:51,799 --> 00:22:54,440
to get the benefit but yes I would
487
00:22:54,440 --> 00:22:59,520
expect uh definitely in Health
488
00:22:59,520 --> 00:23:00,679
definitely in
489
00:23:00,679 --> 00:23:03,080
agriculture a lot of the most exciting
490
00:23:03,080 --> 00:23:05,799
fast-moving things uh will be here in
491
00:23:05,799 --> 00:23:08,720
India education I think everybody's
492
00:23:08,720 --> 00:23:11,360
going to be doing it and and including
493
00:23:11,360 --> 00:23:13,960
India I've seen this happen in Indonesia
494
00:23:13,960 --> 00:23:17,400
do you think the business of delivering
495
00:23:17,400 --> 00:23:21,159
medical advice and prescribing people uh
496
00:23:21,159 --> 00:23:23,080
not with the human on the other side but
497
00:23:23,080 --> 00:23:25,320
a model per se do you think the
498
00:23:25,320 --> 00:23:27,640
potential for that is big in India for
499
00:23:27,640 --> 00:23:31,039
young entrepreneurs to focus on yes um
500
00:23:31,039 --> 00:23:32,799
you know there's going to be a quality
501
00:23:32,799 --> 00:23:35,520
bar uh
502
00:23:35,520 --> 00:23:39,279
and and yes and you know maybe at first
503
00:23:39,279 --> 00:23:41,320
it's okay pregnant women or people
504
00:23:41,320 --> 00:23:42,640
dealing with
505
00:23:42,640 --> 00:23:45,200
diabetes um because it's easier than to
506
00:23:45,200 --> 00:23:46,720
think through all the possible questions
507
00:23:46,720 --> 00:23:48,400
and make sure the quality is right but
508
00:23:48,400 --> 00:23:52,080
eventually you bet your your lifelong
509
00:23:52,080 --> 00:23:54,919
medical agent that takes all your sensor
510
00:23:54,919 --> 00:23:58,039
data and you know how you felt you know
511
00:23:58,039 --> 00:24:01,440
when you eat this or drink that uh it'll
512
00:24:01,440 --> 00:24:05,240
be there and it'll be reading the latest
513
00:24:05,240 --> 00:24:08,760
literature um and it'll be super helpful
514
00:24:08,760 --> 00:24:12,799
to you okay last question to you Bill if
515
00:24:12,799 --> 00:24:17,679
you were 25 years old living in India uh
516
00:24:17,679 --> 00:24:22,039
no no crazy skill set at hand and about
517
00:24:22,039 --> 00:24:24,600
$100,000 of money to start a business
518
00:24:24,600 --> 00:24:27,440
with what would you do today I'd
519
00:24:27,440 --> 00:24:29,039
probably
520
00:24:29,039 --> 00:24:31,760
build pick some AI
521
00:24:31,760 --> 00:24:36,960
thing and just use the Google Microsoft
522
00:24:36,960 --> 00:24:39,640
platforms and and go on top of that and
523
00:24:39,640 --> 00:24:42,120
try and because I'd be in touch with the
524
00:24:42,120 --> 00:24:44,679
customer so well and improving my data
525
00:24:44,679 --> 00:24:45,880
keep
526
00:24:45,880 --> 00:24:49,360
ahead um you know and I'd say okay who's
527
00:24:49,360 --> 00:24:52,840
the most demanding customer for this uh
528
00:24:52,840 --> 00:24:55,120
and go after that it might be fun you
529
00:24:55,120 --> 00:24:57,320
know like clearing legal backlogs you
530
00:24:57,320 --> 00:24:59,880
know that one kind of fast fascinates me
531
00:24:59,880 --> 00:25:02,880
uh because it it's a mechanism that
532
00:25:02,880 --> 00:25:07,520
helps all uh business activity um I'd
533
00:25:07,520 --> 00:25:09,200
Envy the guys who get to work on the
534
00:25:09,200 --> 00:25:12,640
foundation models I'd say damn uh even I
535
00:25:12,640 --> 00:25:14,799
sort of Envy them because when I was
536
00:25:14,799 --> 00:25:17,960
young I thought gosh you know when is AI
537
00:25:17,960 --> 00:25:19,279
really going to make the
538
00:25:19,279 --> 00:25:22,679
Breakthrough it took a lot longer uh
539
00:25:22,679 --> 00:25:24,760
than I expected I'm glad now I get to
540
00:25:24,760 --> 00:25:27,880
play a supportive uh role help shape it
541
00:25:27,880 --> 00:25:31,440
a bit s uh engages me and now you know
542
00:25:31,440 --> 00:25:33,720
we're using AI in our foundation work
543
00:25:33,720 --> 00:25:36,520
and whether it's drug Discovery or all
544
00:25:36,520 --> 00:25:39,760
these things uh so we can be way more
545
00:25:39,760 --> 00:25:42,080
ambitious than we were before it came
546
00:25:42,080 --> 00:25:44,960
along I happened to meet Satya and Sund
547
00:25:44,960 --> 00:25:47,520
when I was in the US and uh we were
548
00:25:47,520 --> 00:25:49,640
having dinner at a certain place
549
00:25:49,640 --> 00:25:52,120
together and these guys seem to talk
550
00:25:52,120 --> 00:25:54,399
about AG
551
00:25:54,399 --> 00:25:57,080
AGI in a very precocious manner like
552
00:25:57,080 --> 00:25:59,640
it's much closer than anybody is
553
00:25:59,640 --> 00:26:02,720
thinking it is do you think that there
554
00:26:02,720 --> 00:26:04,440
there could be one day when suddenly we
555
00:26:04,440 --> 00:26:06,120
are surprised like a couple of years
556
00:26:06,120 --> 00:26:09,200
down the line and there's so
557
00:26:09,200 --> 00:26:13,480
much there's not really a really good
558
00:26:13,480 --> 00:26:17,159
definition these models already today
559
00:26:17,159 --> 00:26:19,799
when you have lots of lots of documents
560
00:26:19,799 --> 00:26:21,679
you know more than a human could read in
561
00:26:21,679 --> 00:26:24,480
lifetime it is able to find things and
562
00:26:24,480 --> 00:26:27,200
reason across these documents in a
563
00:26:27,200 --> 00:26:28,880
superhuman way
564
00:26:28,880 --> 00:26:31,000
and so when you think about a lawsuit or
565
00:26:31,000 --> 00:26:33,320
a drug filing you anything that gets to
566
00:26:33,320 --> 00:26:37,640
be over say 10,000 Pages human cognition
567
00:26:37,640 --> 00:26:40,240
even a great specialist person you got
568
00:26:40,240 --> 00:26:43,679
10,000 pages I dare you uh and these
569
00:26:43,679 --> 00:26:46,399
things it's not just keyword search this
570
00:26:46,399 --> 00:26:48,360
is semantic
571
00:26:48,360 --> 00:26:50,880
representation of that level of
572
00:26:50,880 --> 00:26:53,559
complexity so we're already
573
00:26:53,559 --> 00:26:57,120
superhuman in a dimension that is kind
574
00:26:57,120 --> 00:26:59,559
of surprising I mean I thought robots
575
00:26:59,559 --> 00:27:01,399
you know would be taking over the
576
00:27:01,399 --> 00:27:04,240
warehouse you know 10 years before
577
00:27:04,240 --> 00:27:07,360
they'd be studying our legal and
578
00:27:07,360 --> 00:27:11,480
Regulatory documents and we know that we
579
00:27:11,480 --> 00:27:13,919
have Brute Force scale up we have a lot
580
00:27:13,919 --> 00:27:16,279
of external algorithms you know to help
581
00:27:16,279 --> 00:27:19,720
the AI know how hard to work I mean most
582
00:27:19,720 --> 00:27:21,120
people don't realize
583
00:27:21,120 --> 00:27:24,440
today it works exactly the same amount
584
00:27:24,440 --> 00:27:28,679
where it puts out the next word
585
00:27:28,679 --> 00:27:31,520
is and it doesn't think in advance it
586
00:27:31,520 --> 00:27:33,559
doesn't think okay I have to write this
587
00:27:33,559 --> 00:27:37,640
poem let me figure it all out no it it
588
00:27:37,640 --> 00:27:40,519
it it's generating word by word and so
589
00:27:40,519 --> 00:27:43,279
getting it to go faster when it's easy
590
00:27:43,279 --> 00:27:45,640
or take more time like math problems you
591
00:27:45,640 --> 00:27:48,080
know we we all laugh because it's
592
00:27:48,080 --> 00:27:50,600
actually quite bad at certain type of
593
00:27:50,600 --> 00:27:53,039
recursive math things like Sudoku
594
00:27:53,039 --> 00:27:56,960
puzzles which are trivial uh in fact if
595
00:27:56,960 --> 00:27:58,880
you say to the AI put this into
596
00:27:58,880 --> 00:28:01,679
algebraic form and then give it to a
597
00:28:01,679 --> 00:28:04,640
tiny little solver it's perfect but its
598
00:28:04,640 --> 00:28:07,799
current algorithm is this single linear
599
00:28:07,799 --> 00:28:10,480
pass print the most probable token
600
00:28:10,480 --> 00:28:12,840
single and so there's a lot of control
601
00:28:12,840 --> 00:28:14,559
architecture work that's been played
602
00:28:14,559 --> 00:28:17,679
around with to deal with these quality
603
00:28:17,679 --> 00:28:21,200
issues you know clearly humans we think
604
00:28:21,200 --> 00:28:22,399
okay for this
605
00:28:22,399 --> 00:28:25,360
problem it's just a joke blurt something
606
00:28:25,360 --> 00:28:27,840
out uh they're asking me for medical
607
00:28:27,840 --> 00:28:29,559
advice advice or marriage advice I
608
00:28:29,559 --> 00:28:33,399
better you know really um think through
609
00:28:33,399 --> 00:28:36,760
the implications and and so the control
610
00:28:36,760 --> 00:28:40,760
system uh as well as the the extra scale
611
00:28:40,760 --> 00:28:44,080
is going to drive improvements at you
612
00:28:44,080 --> 00:28:47,440
know some rate that could be quite rapid
613
00:28:47,440 --> 00:28:50,240
right no thank you so much bill for
614
00:28:50,240 --> 00:28:52,120
having taken the time with me today and
615
00:28:52,120 --> 00:28:55,519
uh look forward to seeing you in May
616
00:28:55,519 --> 00:28:59,160
Califoria thank you
617
00:28:59,160 --> 00:29:04,929
[Music]
618
00:29:06,799 --> 00:29:10,440
hi guys we are in there today I'm trying
619
00:29:10,440 --> 00:29:16,840
to fruit a new a very interesting guest
620
00:29:16,840 --> 00:29:18,279
and
621
00:29:18,279 --> 00:29:21,279
uh we're going to do something fun what
622
00:29:21,279 --> 00:29:23,760
else we have for what else what else we
623
00:29:23,760 --> 00:29:26,720
have for did you
624
00:29:26,720 --> 00:29:29,780
know that your
625
00:29:29,780 --> 00:29:31,360
[Music]
626
00:29:31,360 --> 00:29:36,640
baby save us actually being serious did
627
00:29:36,640 --> 00:29:37,880
you
628
00:29:37,880 --> 00:29:40,840
know that your
629
00:29:40,840 --> 00:29:43,960
baby would
630
00:29:43,960 --> 00:29:46,799
something this is our beautiful
631
00:29:46,799 --> 00:29:51,080
beautiful venue we have Mark that
632
00:29:51,080 --> 00:29:54,679
Sheldon everyone's setting up lights
633
00:29:54,679 --> 00:29:55,799
this is where everyone's going to be
634
00:29:55,799 --> 00:29:57,360
sitting we're going to have a live
635
00:29:57,360 --> 00:29:59,440
screen monitor here which I'll probably
636
00:29:59,440 --> 00:30:02,880
be looking at a
637
00:30:02,880 --> 00:30:06,200
boom broad mic and that's what we're
638
00:30:06,200 --> 00:30:09,679
going to place on top of the two sers hi
639
00:30:09,679 --> 00:30:12,080
Chan this the first time we working
640
00:30:12,080 --> 00:30:15,279
together what are your
641
00:30:15,279 --> 00:30:18,270
thoughts you don't look stressed at
642
00:30:18,270 --> 00:30:22,600
[Music]
643
00:30:22,600 --> 00:30:25,799
all that's called a skimo that we're
644
00:30:25,799 --> 00:30:28,039
going to put over the guest that's our
645
00:30:28,039 --> 00:30:31,000
spot and that's how big the schemmer is
646
00:30:31,000 --> 00:30:34,320
I'm also worried about other things so
647
00:30:34,320 --> 00:30:36,159
let's see then how it looks and then
648
00:30:36,159 --> 00:30:38,440
take a b we're going to change the rose
649
00:30:38,440 --> 00:30:42,799
it doesn't look so nice does it
650
00:30:44,630 --> 00:31:06,119
[Music]
651
00:31:13,200 --> 00:31:15,220
is that okay yeah that was
652
00:31:15,220 --> 00:31:18,960
[Music]
653
00:31:18,960 --> 00:31:22,440
fantastic how does it feel
654
00:31:22,440 --> 00:31:26,559
good little bit a little bit more H say
655
00:31:26,559 --> 00:31:29,919
something wait46209
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