Evidence receipt / recommendation
Published · transcript-backedItamar Friedman: recommendation
25 May 2023 Latent Space Debugging the Internet with AI agents – with Itamar Friedman of Codium AI and AutoGPT
“Try it for specific use cases and see what's easy to do. And then if your purpose is just like incorporating stuff and that's what you wanna do and then do it, but don't like, tell everyone you're gonna do it before you do it, because you might find that it's actually really hard and there's a lot of problems.”
Source trail
Everything needed to verify it.
- Speaker
- Itamar Friedman
- Attribution
- Verified speaker
- Claim type
- recommendation
- Recorded
- 25 May 2023
- Publisher
- Latent Space
Transcript context
…for all the listeners, like what's one message you want everyone to remember about ai? I, I would say, again, something might be a bit obvious, but I think right now what's happening is that we're actually true to this month's overestimating what gen AI can do overestimating, but we're underestimating what it can do in the future. Okay. So why am I saying that? Because if you're a builder, I really encourage you, speak less and do more play with it. Try it for specific use cases and see what's easy to do. And then if your purpose is just like incorporating stuff and that's what you wanna do and then do it, but don't like, tell everyone you're gonna do it before you do it, because you might find that it's actually really hard and there's a lot of problems. It works amazing. Like it wowed you for two examples, but then for eight other examples that like works crappy data. I want, if you're building, you wanna build a startup. So find that case where you believe that you can think about a solution around LLMs or what it's going to be in in one or two years because you want to, what? You wanna try to predict that and what's a challenging around it and do that through trying, trying, trying. Like for example, if you're really excited about auto G P T. Try to find five different cases that you, you managed to make it work for. Again, you might find you can't. I'm, I think that it's, it will do a lot and I think it was good that somebody brought these frameworks and now will try to jump, will progress with the levels that I talked about before. So that, that's my like really like. If you think of idea first, try it. It's like easier than ever. Like there are so many, so many tools to, to try like, and that's one of the things that brought us to coding large language model as is do not work for verifying code logic. But we think there's, we see the path, how to combine with other technical elements and how AI's going to evolve that we can actually bring to fruition this, this idea, this notion of the dry concept that I mentioned. Well, Edmar, thank you so much for coming on. This was great.…
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