Speakers in the public record
Claim mix
belief 12evaluation 7prediction 3recommendation 2uncertainty 2preference 1observation 1
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
The useful parts, with receipts.
28 published records
“Like, it'd be one thing if Just musicians were excited about Suno and using it but what you're seeing is tons of people who just like music all of a sudden like playing around with it and finding themselves kind of down that rabbit hole, which I think is kind of like the highest compliment that you can give one of these startups at the”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“Now you just match the other two guys. And so that puts An insane amount of pressure on what gpt5 is going to be because it's just going to have like the only option it has now because all the other models are multimodal all the other models are long context all the other models have perfect recall gpt5 has to match everything and do more to to not be a flop”
- Publisher
- Latent Space
“I think maybe the only new thing was this Reddit deal with Google for like a 60 million dollar deal just ahead of their IPO, very conveniently turning Reddit into a AI data company.”
- Publisher
- Latent Space
“I think that's, that's like what I'm most interested to figure out because with the browsers, it's like, it's the entry point to the thing.”
- Publisher
- Latent Space
“People were like, okay, this is better than this on this benchmark, blah, blah, blah, because maybe they did not have a lot of use cases that they did frequently.”
- Publisher
- Latent Space
“We love AI Breakdown as one of the best examples Daily podcasts to keep up on AI news, so we were especially excited to be back on Watch out and take”
- Publisher
- Latent Space
“I went and looked at when Meta went from being a VR company to an AI company. And I think the stock I'm trying to look up the details now.”
- Publisher
- Latent Space
“I mean, I don't know if I, if I have a coherent thesis, but it's, it's sure fun to, it's Who, who think that like, I, I, I just have an intense hatred for RAG.”
- Publisher
- Latent Space
“I think when you do a new Silicon, you're like, Oh, we're going to be so much better at this thing or like much faster, much cheaper.”
- Publisher
- Latent Space
“We definitely did see some leaks on GPT 4. 5, as I think a lot of people reported and I'm not sure if you covered it.”
- Publisher
- Latent Space
“I think that because GPT 5 isn't there, people are not quite willing to sort of like, you know get overly critical of, of open AI, except in so far as they're wondering where GPT 5 is.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“Wars are fought around limited resources. And I think probably the, you know, the most limited resource is talent, but the talent expresses itself in a number of areas.”
- Publisher
- Latent Space
“Part of, I think, you know, What creating an industry requires is for, to let people gather in one place.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“I think, I think that you're right to identify it, not just as that sort of technical problem, but as one where society has to have a debate with itself. Because I think that there's, if you rationally within it, there's Great kind of points on all side, not to be the sort of, you know, person who sits in the middle constantly, but it's why I think a lot of these legal decisions are going to be really important because, you know, the job of judges is to listen to all this stuff and try to come to things and then have other judges disagree.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“I don't know. But again, it's just like the rumors are always floating around, you know but I think like, this is, you know, we're not going to get to the end of the year without Jupyter you know, that's definitely happening.”
- Publisher
- Latent Space
“Mythology and community and conference I think is helpful, hopefully, and I don't have any prescriptions on whether or not it's a full time job.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“A lot of people are thinking that it kills RAG, and I think, like, one, that's not true, because for any kind of cost reason you you know, you still pay per token, so if you there, so basically Google is, like, perfectly happy to let you pay a million tokens every single time you make an API call, but good luck, you know, having a hundred dollar API call.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“Although Grok the chip company, I think is even more interesting in some ways, but and then there's the, you know, obviously Llama3 is the one that sort of everyone's wondering about too.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“Yeah, I love disagreements because, you know, who likes a podcast where all three people always agree with each other?”
- Publisher
- Latent Space
“I would say, I'll go so far as to say, even Devin, which is, I would, I think the most advanced agent that we've ever seen, still requires a lot of engineering and still probably falls apart a lot in terms of, like, practical usage.”
- Publisher
- Latent Space
“going to play out too. So I'll have one caveat here, which is I think that Because multi modal models are now commonplace, like Cloud, Gemini, OpenAI, all very very easily multi modal, Apple's easily multi modal, all this stuff.”
- Publisher
- Latent Space
“I think that's what a lot of people are looking for in AI, that they have, they love the benefits of AI, they don't love the downsides, which is that you have to send all your data to some cloud somewhere.”
- Publisher
- Latent Space
“And Jensen, at his keynote, he did talk about synthetic data a little bit. So I think that's something that we'll definitely hear more and more of in the enterprise, which never bodes well, because then all the, all the people with the data are like, Oh, the enterprises want to pay now?”
- Publisher
- Latent Space
“Yeah, highly recommend people to read the Sora blog posts and then read through to the Dali blog posts because they, they strongly correlated themselves with the same synthetic data bootstrapping methods as Dali.”
- Publisher
- Latent Space
“I think, yes, it's a data point in the favor of Like, just because you have the GPUs doesn't mean you can, you automatically win.”
- Publisher
- Latent Space
“Surface is a little smaller for image generation. So if you go back maybe six, nine months, most people will tell you, why would you build a coding assistant when like Copilot and GitHub are just going to win everything because they have the data and they have all the stuff.”
- Publisher
- Latent Space
“can ballpark things like, you know, like, yeah, so, so, so, but basically like the, the point is like you're trading this is optimal, this is theoretically the most optimal architecture for performance power and area in a given, and you know, not, not specifically Grok, but VLIW in general is gonna get you closer to optimal there, but then you're giving off, you know, that, that last P, which is pain in the ass program, is, is I think the most simple way to get into it.”
- Publisher
- Latent Space
“Cloud is better. It's very good, you know, it's much better, it seems to me, it's much better than GPT 4 at doing writing that is more, you know, I don't know, it just got good vibes, you know, like the GPT 4 text, you can tell it's like GPT 4, you know, it's like, it always uses certain types of words and phrases and, you know, maybe it's just me because I've now done it for, you know, So, I've read like 75, 80 generations of these things next to each other.”
- Publisher
- Latent Space