Latent Space / episode intelligence
Speakers in the public record
Claim mix
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
38 published records
01 / uncertainty
“Yeah, yeah, I'm a little bit scared to fine tune especially for vision, because I don't know what I don't know for stuff like vision, right?”
02 / belief
“Like, you know, I think, I think, before we recorded, we discussed a little bit about the sensitivities around basically calling random store owners and putting, putting like an AI on them.”
03 / uncertainty
“Maybe they're going to run L1 for five hours instead of five minutes, and then suddenly it works. So, I don't know.”
04 / belief
“I haven't really gotten into cursor yet to be honest. I just haven't spent enough time for it to click, I think.”
05 / belief
“Like, you know, if you're, like, you know, the amazing, like, super bold, like, start up out of YC, you want to build, like, the next, like, billion, like, you know, user application to make it, like, truly your first and make it feel, like, you know, an actual good, like, you know, product experience. So that's essentially the ambition, and I think, like, yeah, it could be pretty big.”
06 / belief
“The, if we had, like, more resources and bandwidth, we would go to that. I think there's a lot of reasons you want a local model.”
07 / uncertainty
“Like Google Gemini you can do an hour's worth of video in their context window and just by slicing it up into one frame At ten frames a second and it does work so I Don't know.”
08 / belief
“We are pretty far away from it. But I think, like, that evaluation and decision product are essentially a first good step in that direction.”
09 / belief
“I think one, one people, one issue that people have with the voice so far as, as released in advanced voice mode is the refusals.”
10 / belief
“Like, you know, like I think for me, like, WebSockets, you just receive a bunch of events.”
11 / belief
“Yeah, I have more questions on, a couple questions on voice, and then also, like, your call to action, like, what you want feedback on, right? So, I think we should spend a bit more time on voice, because I feel like that's, like, the big splash thing.”
12 / prediction
“I expect that many developers will not want to share their data, and that's perfectly fine to me.”
13 / belief
“Even the Turing test, which I thought always was like, this very clear milestone, you know, there was this like, fuzzy period. It kind of like, went oosh and bye, no one cared But, but I think the right framework is just this one exponential.”
14 / belief
“You guys had a very inspiring model spec. I think Joanne worked on that. Where you said, like, yeah, we don't want to overly refuse all the time.”
15 / belief
“I think that might be useful, but honestly, like, that would be nice to have when we have the time.”
16 / belief
“Second, like, it's the first time that we have an actual, like, WebSocket based API. And so, I would say that's the one that required, like, the most work over the month.”
17 / uncertainty
“Why can't advanced voice mode sing? And as a follow up to this, if it's a company, like, legal issue in terms of corporate, et cetera, Is there a daylight between how you think about safety in terms of your own products, on your own platform, Versus giving us developers kind of the I don't know, sign the right things off so we can, we can make our voice not sing.”
18 / uncertainty
“Like, I always want to eval the eval. I don't know if that ever came up. Like, sometimes the evals themselves are wrong, and there's no way for me to tell you.”
19 / belief
“I do hope we do something at some point, but we want to find something that we feel like, if we don't do it, then we'll just be the same as them and not make, like, another thing that's, like, a tiny bit better on benchmarks. Because we think there's, like, a lot of potential.”
20 / belief
“We've also partnered with some some partner solutions. We've partnered with, I think, Agora.”
21 / belief
“I mean, we definitely explored the space a little bit, but I think we came to WebSockets pretty quickly.”
22 / uncertainty
“Exactly. I don't know. I mean, I'm sure it's the case for you in Singapore. For me, my friends in Europe, the number of, like, WhatsApp, like, voice notes they receive every day, I mean, just people, it makes sense, frankly, like, you know.”
23 / uncertainty
“I don't know. I don't know if I got an invite. No. I can't just talk to you. Yeah, like, and then there was some speculation around October 1st.”
24 / belief
“Awesome. I think that's our time. Thank you so much, guys. Yeah, thank you so much.”
25 / belief
“I mean, as with most things, I think there's, like, some really interesting questions.”
26 / belief
“I think, essentially, it's becoming pretty clear after today that, you know, I would say the open end direction has become pretty clear, like, you know, after today.”
27 / belief
“Let's talk about the O1 model and how developers are using it to, like, really push the boundaries of what's possible. I think there's definitely some substance behind all the hype.”
28 / commitment
“We were particularly impressed that Olivier addressed the not safe for work moderation policy question head on, as that had only previously been picked up on in Reddit forums. This is an encouraging sign that we will return to in the closing candor with Sam Altman at the end of this episode.”
29 / commitment
“They would not have been the ones that turned out to work. So, by this idea of iterative deployment, which I think has been one of our most important safety stances ever and sort of confronting reality as it sits in front of us, we've made a lot of progress, and we expect to make more, and we keep finding new problems to solve, but we also keep finding new techniques to solve them.”
30 / evaluation
“It's not, it's not what gives us our edge, but it certainly means that then we don't have to build it and maintain it afterwards. So, it's a really good first step, I think, in, like, the overall maturity of the fine tuning product and API in terms of where they're going to see those early products.”
31 / preference
“Currently, I run them through Whisper and then I do the transcript that way, but being able to do the multimodal thing with those would be really useful.”
32 / preference
“That's cool, because I've been using Google Gemini's bounding block stuff recently, it's very, very impressive.”
33 / evaluation
“I think back in the days of Objective C, or like, you know, the storyboard, it was a bit harder to get in for someone new.”
34 / evaluation
“Sometimes we're right, often we're not. But, if something starts working, or if something doesn't work that you thought was gonna work, our willingness to just say, we're gonna like, pivot everything, and do what the science allows, and you don't get to like, pick what the science allows?”
35 / prediction
“I think with multimodality, like, real time is quickly becoming, like, you know, essentially the right experience, like, to build an application.”
36 / evaluation
“Because when you do evals on fat tuning, there are many, many ways, like, to mess it up, frankly, like, you know, and have, like, a crappy model, like, evals that tell, like, a wrong story.”
37 / prediction
“I mean, I'm aware of them, but I think I'm excited to see how all distillation works. That's something that we've been doing like, I don't know, I've been like doing it between our models for a while And I've seen really good results like I've done back in a day like from GPT 4 to GPT 3.”
38 / commitment
“You know, there are some use cases, like, you know, I'm writing, like, a Hollywood, like, script I want to say, like, will go on, and it's perfectly fine, you know? And so I think the direction where we'll go here is that basically There will always be like, you know, a set of behavior that we will, you know, just like forbid, frankly, because they're illegal against our terms of services.”