Videos iRcX54EO5g8
Your agent is blindfolded — Johan Lajili, Poolside AI
Scene timeline
27 shot(s).
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What was stored
- cues
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Provenance
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Frames, and what the machine read
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Transcript
127 cues· 1,602 words· 8,399 chars
- 0:15 Hi, everyone.
- 0:16 So I'm Johan from Poolside.
- 0:19 If you haven't heard of us, we are one of the handful of companies that are making their own foundational model from scratch, their own LLM and coding agents.
- 0:31 Check us out if you're not aware.
- 0:33 Some cool stuff, and you should hear more soon.
- 0:37 But what I want to talk to you about today is this.
- 0:44 people seeing AI and using AI and getting vastly different experiences.
- 0:48 If you're on Reddit, if you're on Twitter, you're going to see people that say, oh, yeah, I'm never touching code anymore.
- 0:54 The AI is doing everything for me.
- 0:56 It's fantastic.
- 0:58 And others that say, what are you talking about?
- 0:59 I'm trying it in my production app.
- 1:02 It produces absolute garbage.
- 1:05 What are you guys working on to do apps?
- 1:07 What are you doing?
- 1:08 And there is multiple ways to try
- 1:11 to understand what's going on there.
- 1:13 One way is to say, oh, this guy is a shield from OpenAI trying to sell you AI.
- 1:18 Or this one is an NT that doesn't care about anything and is just lying.
- 1:23 He didn't even try it.
- 1:25 Another is to say,
- 1:28 Well, maybe someone is working on a Greenfield app, and that's nice and easy.
- 1:32 Whereas someone else is working on Brandfield on a legacy application, that's complicated, and agents are not there yet.
- 1:40 But personally, I think that doesn't quite hold up.
- 1:44 We've seen people using AI in legacy applications with good success.
- 1:48 I have myself.
- 1:50 At least on my own experience, I know that can work.
- 1:54 So what's the difference?
- 1:54 What's the difference really between Brownfield and Greenfield?
- 2:00 The difference is that with Greenfield, the agent's intuition is correct.
- 2:06 the agent's writing the code and expect, you know, if I write the components here, if I write the service, it's going to work.
- 2:12 I think that's going to be fine.
- 2:14 And he's right, because it has very good intuition.
- 2:17 On brownfield, however, there be dragons.
- 2:21 You're going to have things that the agent is not expecting.
- 2:25 Maybe, you know, like dead ends, code that's not used anymore, things that he's not aware of in different parts of the code that he hasn't even looked at.
- 2:33 And that's where the big difference between those two is the feedback loop.
- 2:37 And everybody sort of like somewhat talked about it in the background of the talks we've seen over the past three days.
- 2:44 But I think that's the difference with getting these results.
- 2:48 So you've got your agent that says, yeah, I've implemented the new OAuth flow and it's all working perfectly.
- 2:55 What the agent means really is
- 2:58 Well, to the best of my capabilities, to the best of what you have given me, that sounds like it should work.
- 3:05 Maybe the agent was able to verify its work.
- 3:08 Maybe it wasn't.
- 3:09 But as far as it knows, it's working.
- 3:12 If you're a skeptic of AI, you're going to see
- 3:15 that first quote sees that it's indeed not working and just says, you know, I'm a liar, I'm incompetent or like you cannot trust the AI.
- 3:26 And that's, I think, where this cleavage in between those two type of users, like the first category is going to see some things.
- 3:32 Oh, yeah, actually, you know what?
- 3:33 It's not working, agent.
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