korrents

korrents · Lex Fridman Podcast · #491

OpenClaw: The Viral AI Agent that Broke the Internet - Peter Steinberger | Lex Fridman Podcast #491

Peter Steinberger, Lex Fridman · 3h 15m · youtube.com ↗

30 korrents from this recording

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Peter Steinberger, Lex Fridman 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. 0:16:56 · watch on youtube.com↗ · Peter Steinberger

    If you get really good at coding that means you have to be really good at general purpose problem solving. So that's a skill, right? And that just maps into other domains.
  2. 8 min later
  3. 0:25:00 · watch on youtube.com↗ · Peter Steinberger

    But I don't want to, like, pull that down because every time someone made the first pull request is a win for our society, you know? Like, it… Like, it doesn't matter how, how shitty it is, y- you gotta start somewhere.
  4. 22 min later
  5. 0:46:36 · watch on youtube.com↗ · Lex Fridman

    my criticism of MoltBook is that I believe a lot of the stuff that was screenshotted is human prompted. Which, just look at the incentive of how the whole thing was used. It’s obvious to me at least that a lot of it was humans prompting the thing so they can then screenshot it and post it on X in order to go viral.
  6. 2 min later
  7. 0:48:29 · watch on youtube.com↗ · Peter Steinberger

    So, I feel we, as a society, we need some catching up to do in terms of understanding that AI is incredibly powerful, but it's not always right. It's not, it's not all-powerful, you know?
  8. 2 min later
  9. 0:50:38 · watch on youtube.com↗ · Lex Fridman

    there’s like a line to walk between being seriously concerned, but not fearmongering because fearmongering destroys the possibility of creating something special with a thing.
  10. 1 min later
  11. 0:51:08 · watch on youtube.com↗ · Peter Steinberger

    and not in 2030 when, when AI is actually at the level where it could be scary. So, this happening now and people starting discussion, maybe there's even something good that comes out of it.
  12. 5 min later
  13. 0:55:44 · watch on youtube.com↗ · Peter Steinberger

    So, so the latest generation of models has a lot of post-training to detect those approaches, and it's not as simple as ignore all previous instructions and do this and this. That was years ago. You have to work much harder to do that now. Still possible.
  14. 1 min later
  15. 0:56:44 · watch on youtube.com↗ · Peter Steinberger

    That's why I warn in my security documentation, don't use cheap models. Don't use Haiku or a local model. Even though I, I very much love the idea that this thing could completely run local. If you use a, a very weak local model, they are very gullible. It's very easy to, to prompt inject them.
  16. 3 min later
  17. 1:00:08 · watch on youtube.com↗ · Peter Steinberger

    It is, it is powerful, but in many ways it's not much different than if I run cloud code with dangerously skipped permissions or codecs in YOLO mode, and every, every attending engineer that I know does that, because that's the only way how you can, you can get stuff to work.
  18. 3 min later
  19. 1:02:46 · watch on youtube.com↗ · Peter Steinberger

    I know I have one blog post where I say, "I don't read the code." But if you read it more closely, I mean, I don't read the boring parts of code.
  20. 2 min later
  21. 1:04:45 · watch on youtube.com↗ · Peter Steinberger

    I actually think vibe coding is a slur.
  22. 1 min later
  23. 1:05:18 · watch on youtube.com↗ · Peter Steinberger

    It's the same way as you have to play with a guitar before you can make good music. It's, it's not, oh, I, I touch it once and it just flows off. It, it's a, it's a, a skill that you have to learn like any other skill.
  24. 5 min later
  25. 1:10:41 · watch on youtube.com↗ · Peter Steinberger

    Many times, I just do the refactor because refactors are cheap now. Even though you might break some other PRs, nothing really matters anymore.
  26. 2 min later
  27. 1:12:33 · watch on youtube.com↗ · Peter Steinberger

    I- i- like, we are in a stage where I'm not building the code base to be perfect for me, but I wanna build a code base that is very easy for an agent to navigate.
  28. 1 min later
  29. 1:13:57 · watch on youtube.com↗ · Peter Steinberger

    I even switched to local CI, you know, like DHH inspired where I don't care so much more about the CI on GitHub. We still have it. It's still, it still has a place, but I just run tests locally and if they work locally, I push to main.
  30. 4 min later
  31. 1:18:13 · watch on youtube.com↗ · Lex Fridman

    It’s actually how good they are at programming is almost a burden in their ability to empathize with the system that’s starting from scratch. It’s a totally new paradigm of, like, how to program. You really, really have to empathize.
  32. 3 min later
  33. 1:20:49 · watch on youtube.com↗ · Peter Steinberger

    So, so, people who try to use like, you know, things like Gas Town or all these other orchestrators, where they wanna o- automate the whole thing, I feel if you do that, it misses style, love, that human touch. I don't think you can automate that away so quickly.
  34. 20 min later
  35. 1:41:11 · watch on youtube.com↗ · Peter Steinberger

    Some other comparison is like, Opus is like the coworker that is a little silly sometimes, but it's really funny and you keep him around. And Codex is like the, the weirdo in the corner that you don't wanna talk to, but is reliable and gets shit done.
  36. 6 min later
  37. 1:46:42 · watch on youtube.com↗ · Lex Fridman

    it’s probably most likely the case that the intelligence of the model is not degrading. It’s in fact you’re getting used to a good thing.
  38. 3 min later
  39. 1:50:06 · watch on youtube.com↗ · Peter Steinberger

    Like, if you think more globally, we are, we copied Google for agents. You have, like, a prompt, and, and then you have a chat interface. That, to me, very much feels like when we first created television and then people recorded radio shows on television and you saw that on TV.
  40. 21 min later
  41. 2:11:17 · watch on youtube.com↗ · Peter Steinberger

    The stuff that burned me out was mostly people stuff. I, I don't think burnout is working too much. Maybe to a degree. Everybody's different.
  42. 12 min later
  43. 2:23:37 · watch on youtube.com↗ · Peter Steinberger

    But also, I'm very excited to, like, make this into a version that I can get to a lot of people because I think this is the year of personal agents, and that's the future. And the fastest way to do that is teaming up with one of the labs.
  44. 17 min later
  45. 2:41:00 · watch on youtube.com↗ · Peter Steinberger

    I think the main beauty is, is that models are really good at calling Unix commands. So if you just add another CLI, that's just another Unix command in the end. And MCP is… That has to be added in training. That's not a very natural thing for the model. It requires a very specific syntax. And the biggest thing, it's not composable.
  46. 2 min later
  47. 2:43:17 · watch on youtube.com↗ · Peter Steinberger

    That, that gets into the whole arch of every app is just a very slow API now, if they want or not. And that through personal agents a lot of apps will disappear.
  48. 5 min later
  49. 2:48:36 · watch on youtube.com↗ · Peter Steinberger

    But I much rather read your broken English than your AI slob. You know, of course there's a human behind it, and yet they, they prompt it. I'd much rather read your prompt than what came out. Um, I think we're reaching a point where I value typos again.
  50. 2:48:56 · watch on youtube.com↗ · Peter Steinberger

    So, I, I completely moved away from that. I, I, everything, everything I blog is organic, handwritten and maybe, maybe I, I, I use AI as a fix my worse typos. But there's value in the rough parts of an actual human.
  51. 14 min later
  52. 3:03:06 · watch on youtube.com↗ · Peter Steinberger

    there was a lack of intelligence, if you s- if you see it like that, of people building things, and that's why salaries of software developers reached stupidly high amounts and then will go away. There will still be a lot of demand for people that understand how to build things.
  53. 1 min later
  54. 3:04:04 · watch on youtube.com↗ · Peter Steinberger

    I- I can relate that if you very deeply identify that you are a programmer, that it's scary and that it's threatening because what you like and what you're really good at is now being done by a soulless or not entity. But I don't think you're just a programmer. That's a very limiting view of your craft. You are, you are still a builder.
  55. 4 min later
  56. 3:08:30 · watch on youtube.com↗ · Peter Steinberger

    But then you actually sit down and do the maths, and then for most people if you just skip one burger per month, that compensates the, the CO2 output, or, like, the water use in equivalent of tokens.
  57. 1 min later
  58. 3:09:55 · watch on youtube.com↗ · Lex Fridman

    there’s also within that excitement, and within everybody talking just to each other, there’s a dismissal of the basic human experience across the United States and the Midwest, across the world.