korrents

korrents · Y Combinator

Michael Kratsios: Inside the White House's AI Strategy

Michael Kratsios · 39m · youtube.com

20 korrents from this recording

Michael Kratsios did not write this page.

Every claim below is a statement made in this recording, quoted word for word and linked to the second it was said, so you can hear it rather than take our word for it. The wording comes from the transcript published alongside the recording; the sentence above each quote is our reading of the claim, not their wording.

  1. 2:08 · watch on youtube.com

    I think there is there is um no place where you can work on bigger problems than the US government. Even at the the biggest tech companies in the world, you're never going to be dealing with problems of this of this scale.
  2. 2 min later
  3. 4:10 · watch on youtube.com

    no matter what kind of industry you're looking at, there was this government angle where the government's policy actions could be ones that could actually unlock technologies.
  4. 1 min later
  5. 4:52 · watch on youtube.com

    these decisions are extraordinarily federated. There isn't just like one or two people in the White House who decide something.
  6. 3 min later
  7. 7:40 · watch on youtube.com

    if the US wants to lead in artificial intelligence, we have to have a vibrant closed and open source ecosystem, and that's the only way they can all work together.
  8. 7:58 · watch on youtube.com

    if if DC is in a vacuum isn't hearing anything from the startup ecosystem or even from big tech ecosystem or even from financial services or all these different industries, we can't make the best decisions.
  9. 2 min later
  10. 10:07 · watch on youtube.com

    the answer to that really is you don't want to set very firm red lines in the sand because they ultimately don't work.
  11. 1 min later
  12. 10:48 · watch on youtube.com

    have to abide by this rule that was written before LLMs were even a thing. And that shows how challenging sort of the the the situation is if you try to set the line too firm to begin with.
  13. 2 min later
  14. 12:18 · watch on youtube.com

    the challenge with a lot of these cyber capable models is the same model that is able to sort of do something nefarious is the same model that can be very valuable in hardening an existing system.
  15. 12:47 · watch on youtube.com

    I think people were sort of like shouting about the bio problem back in '21, '22. Hasn't been an issue for 3 years.
  16. 3 min later
  17. 15:17 · watch on youtube.com

    if you create a or allow for the creation of a patchwork of regulations, meaning there's one set of regulations for AI in California, another one in Maryland, another one in Texas. You know, the big tech guys, they can deal with that.
  18. 2 min later
  19. 17:46 · watch on youtube.com

    I think it's all about having regulatory clarity and ease for all sizes of of companies. Um and if we can work with Congress to do something like that, I think that would be that would be the biggest boon for for for startups.
  20. 1 min later
  21. 19:10 · watch on youtube.com

    born free technologies are ones where there aren't regulations on the books. Things of like the internet when it just started. And those are the types of technologies you have to preserve.
  22. 1 min later
  23. 20:13 · watch on youtube.com

    I think it's the most obvious sort of like in your face example of technological stagnation. We had the Concorde flying years ago. We're flying slower than we were back then today. Absolute tragedy.
  24. 8 min later
  25. 28:05 · watch on youtube.com

    Over time that has sort of inverted completely. The private sector plus philanthropy now do about 70% of R&D and the and the government only does about 30.
  26. 1 min later
  27. 29:22 · watch on youtube.com

    If you are working on material science, if you are working on pharmaceuticals, if you are working on chemistry, you in 2 3 years or even today are doing your role as a scientist dramatically different because of artificial intelligence.
  28. 1 min later
  29. 30:51 · watch on youtube.com

    The idea that you can have autonomous cloud labs running experiments on a loop without human intervention, testing hypotheses, running the experiments, seeing the results, creating a new hypothesis, testing it and running it, and ultimately getting to a conclusion, that is in our sights.
  30. 1 min later
  31. 31:49 · watch on youtube.com

    Well, we discuss it a lot, but I don't think it gets as much airtime as it should, and and that would be that would be quantum information science technology or quantum computing.
  32. 3 min later
  33. 34:39 · watch on youtube.com

    The thing about executive orders, which is a little secret, is when administration changes, you can just revoke the executive order and and start from scratch again. Um when something is a law, you you can't do that.
  34. 1 min later
  35. 35:18 · watch on youtube.com

    we would urge Congress to to be able to pass some sort of some sort of law around around preemption so we don't have this crazy patchwork of all these different states doing all these different things these things on AI.
  36. 3 min later
  37. 38:26 · watch on youtube.com

    I think it can be a slog, it can be bureaucratic, it can be painful, but when the when the outcome actually happens and you deliver the result, there is no place where you can have a bigger impact on on this country.