OpenAI s Andrzej Karpathy joins Anthropik, a new AI lab run by Sam Altman and co-founder Dario Mady. The hire is a major coup for Anthropik in the high stakes competition for elite AI talent, and another sign the company is emerging as a magnet for some of the industry s most respected technical minds.
00:02:38.620And he was claiming that SAM and OpenAI were just going too fast and not doing it.
00:02:44.020Well, Carpet felt largely the same way.
00:02:48.580And now he comes up, he's going there.
00:02:51.200And this is the guy who's taught like the first. There's an interesting step, Pat.
00:02:55.660He gets permission to teach this course on neural networks at Stanford, and he got his Ph.D. at Stanford.
00:03:03.520The first time he teaches it, they rounded up like 150 curious students.
00:03:07.960You ready for this? Two years later, there's a waiting list.
00:03:12.180And every time the course was offered, there's 750 students want to get into it.
00:03:16.240So this guy has been seen at Stanford and in Silicon Valley as this neural network genius, and now he is, on the eve of IPO season, he is now at Anthropic with Dario Mady.
00:03:32.920Luke, what do you think about this story?
00:03:35.040It's really interesting you bring up his point about safety.
00:03:37.300I didn't know that Carpathia was aligned that way because Carpathia put out on X three, four months ago a study that he had conducted that looked at the risk to existing U.S. jobs by sector, by – I think there's 192 job classifications or something in the Bureau of Labor Statistics.
00:03:59.620And he went by jobs category across the entire U.S. economy and rated each individual job category with the risk of job loss from A.I. over the next several years.
00:04:14.100And what he found was was shocking, which was that roughly 26 million jobs in America are at between very high or extremely high risk of being disintermediated by A.I.
00:04:28.200he put this out it's a it's a fascinating chart because it shows each area as a square and then
00:04:33.940green is very low risk so you there was there it is right there that's the uh um that's that's part
00:04:39.880of it there right so you uh you can see the areas so you know red is bad green is good red is bad
00:04:47.340green is good and you can see it there and and so this genius this guy that's worried about
00:04:52.800safety, which to your point, Pat, I think is really interesting going from to the more safety
00:04:58.420or the, however you want to term it, focused AI model. This is something he put out three
00:05:05.280months ago, which is, I mean, look at it. Accountants, gone. Lawyers, gone. Market
00:05:10.080researchers, gone. Software developers, gone. General office clerks, gone. I mean, it is 26.
00:05:17.380I mean, but if you keep going, some of these jobs, you just said stuff that maybe we would say,
00:05:21.840okay that makes sense though Luke those are going to be gone bookkeeping okay gone receptionist
00:05:26.820okay yep and then but you go on the right side software developers gone gone computer what does
00:05:33.500that say on the bottom computer I can't see the additional sort of can be yeah it's CS let's just
00:05:37.360say computer science what are lawyers lawyers is in the red lawyers is lawyers gone wow project
00:05:43.860managers human resources accountants purchasing which ones are green let's let's focus on the
00:05:50.260Home health, hand laborers, food and service beverage, cooks, waiters, electricians,
00:05:58.060right there in the middle, construction laborers, carpenter, general maintenance, janitors, child care.
00:06:03.880You know, it's a fascinating chart because you have one of the best geniuses in AI three months ago
00:06:11.700saying what China was to blue-collar workers 25 years ago,
00:06:16.720AI is going to be to white-collar workers in the next five years.
00:06:19.840So if I'm, I just came from the eighth grade graduation, right, this morning.
00:06:23.100And my niece is graduating as well, high school.
00:06:55.720Now watch what he says, which is very funny what he says, Mike.
00:06:59.520My entire life in the technical world, I've been following people that were trying to figure out how to make a brain, software, hardware, synapse chips.
00:07:06.560And I was at a company where the engineers figured out how to make a brain.
00:07:32.940I mean, I've got three boys, 25, 23, and 20.
00:07:36.280And we have this conversation with them a lot because the world is changing so fast.
00:07:40.620There are kids graduating high school today that are going to go,
00:07:45.620and they've played by all the right rules,
00:07:47.300And the world's going to be different in, forget about four years, it's going to be different in two years at the pace at which AI is moving.
00:07:52.320So I don't know what, I think what you have to do is, and I know what we've done with our boys, which is be honest with them, communicate, and then just talk about critical thinking.
00:08:04.480Like Wozniak says, learn how to think, think critically, have character, you know, as I felt.
00:10:51.080entrepreneurs have now more opportunities and essentially what what uh you know i'm
00:10:57.780um i would you know as a as a professor also at uni what i'm telling the young generation is you
00:11:04.720you gotta you know if you so far you haven't thought about being an entrepreneur you should
00:11:10.040think about it now and it's an exciting thing and i try to you know give some examples and
00:11:15.140And, you know, essentially think of ways to set up a new business, offer new goods and services.
00:11:22.320And there's just so many areas because of the changes, and they're going to be big changes.
00:11:28.820It's really a fantastic opportunity for small firms.
00:11:31.920Now, one important bottleneck exists, and that is small firms, and that's very well known.
00:11:39.440I mean, they are the biggest employer, and that's why I'm not really worried that much about the overall economy.
00:11:45.140And I think if things go well and done well and the policies, the right policies adopted, then we can actually see literally higher economic growth as a result of this and also more job creation.
00:11:56.720Because it's not the big firms that are the big employer.
00:12:00.120Sixty percent of jobs are with these small and medium sized enterprises.
00:12:04.020And in many ways, they're less effective because they're usually lean and they actually they'd like to hire more people, but they can't because.
00:12:10.480So what is the restriction here? What is the limiting factor that has been limiting growth of small firms?
00:12:17.260Because they're the ones that deliver productivity and job creation and therefore really the most important players in the economy.
00:12:26.100Just because they're small, we tend to ignore them.
00:12:45.500Most small firms are in the position where they already have a lot of good ideas
00:12:49.020and great ideas to expand, but the money is the limiting factor.
00:12:55.920And, I mean, there's a lot of research being done on this.
00:12:59.340Small firms are mostly held back by lack of funding
00:13:03.540from their main source of external funding.
00:13:06.200Of course, there's internal funding, and that's the single most important source for everyone is their retained earnings and also family and friends.
00:13:13.660But for external funding, small firms – and we're talking about these micro-business, very small firms – they're not really able to access capital markets.
00:16:55.600So studies have shown that 65% of people that immerse themselves in a new language completely feel like a different person on the other side.