Evidence receipt / evaluation
Published · transcript-backedItamar Friedman: evaluation
25 May 2023 Latent Space Debugging the Internet with AI agents – with Itamar Friedman of Codium AI and AutoGPT
“Like even as a manager, I think I was like top one percentile being transparent in Alibaba. It wasn't five out of five, which is a good thing because that's extreme, but it was a good, but it also could be a bad, some people would claim it's a bad thing.”
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Everything needed to verify it.
- Speaker
- Itamar Friedman
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 25 May 2023
- Publisher
- Latent Space
Transcript context
…I wanna stay on this a little bit. First of all, this is very impressive and I think it's very valuable. What user numbers can you disclose, you launched it and then it's got fairly organic growth. You told me something off the air, but you know, I just wanted to show people like this is being adopted in quite a large amount. First of all, I'm a relatively transparent person. Like even as a manager, I think I was like top one percentile being transparent in Alibaba. It wasn't five out of five, which is a good thing because that's extreme, but it was a good, but it also could be a bad, some people would claim it's a bad thing. Like for example, if my CTO in Alibaba would tell me you did really bad and it might cut your entire budget by 30%, if in half a year you're not gonna do like much better and this and that. So I come back to a team and tell 'em what's going on without like trying to smooth thing out and we need to solve it together. If not, you're not fitting in this team. So that's my point of view. And the same thing, one of the fun thing that I like about building for developers, they kind of want that from you. To be transparent. So we are on the high numbers of thousands of weekly active users. Now, if you convert from 50,000 downloads to high thousands of weekly active users, it means like a lot of those that actually try us keep using us weekly. I'm not talking about even monthly, like weekly. And that was like one of their best expectations because you don't test your code every day. Right now, you can see it's mostly focused on testing. So you probably test it like once a week. Like we wanted to make it so smooth with your development methodology and development lifecycle that you use it every day. Like at the moment we hope it to be used weekly. And that's what we're getting. And the growth is about like every two, three weeks we double the amount of weekly and downloads. It's still very early, like seven weeks. So I don't know if it'll keep that way, but we hope so. Well actually I hope that it'll be much more double every two, three weeks maybe. Thanks to the podcast. Well, we, yeah, we'll, we'll add you know, a few thousand hopefully. The reason I ask this is because I think there's a lot of organic growth that people are sharing it with their friends and also I think you've also learned a lot from your earliest days in, in the private beta test. Like what have you learned since launching about how people want to use these testing tools? And one of the things like I'm really surprised is that one team, I saw one user two weeks ago, I was so happy. And then I came yesterday and I saw 48 of that company. So what I'm trying to say to be frank is that we see more intra virality right now than inter virality. I don't see like video being shared all around Twitter. See what's going on here. Yeah. But I do see, like people share within the company, you need to use it because it's really helpful with productivity and it's something that we will work about the inter virality. But to be frank, first I wanna make sure that it's helpful for developers. So I care more about intra virality and that we see working really well, because that means that tool is useful. So I'm telling to my colleague, sharing it on, on Twitter means that I also feel that it will make me cool or make me, and that's something maybe we'll need, still need, like testing. You know, I don't, well, you're working on that. We're gonna announce something like that. Yeah. You are generating these tests, you know, based on what I saw there. You're generating these tests basically based on the name of the functions. And the doc strings, I guess? So I think like if you obfuscate the entire code, like our accuracy will drop by 50%. So it's right. We're using a lot of hints that you see there. Like for example, the functioning, the dog string, the, the variable names et cetera. It doesn't have to be perfect, but it has a lot of hints. By the way. In some cases, in the code suggestion, we will actually suggest renaming some of the stuff that will sync, that will help us. Like there's suge renaming suggestion, for example. Usually in this case, instead of calling this variable is client and of course you'll see is “preferred client” because basically it gives a different commission for that. So we do suggest it because if you accept it, it also means it will be easier for our model or system to keep improving. Is that a different model?…
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