Speakers in the public record
Claim mix
belief 21uncertainty 5evaluation 5preference 3commitment 2recommendation 2observation 1prediction 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.
40 published records
“I don't know if you guys know, but he actually tried to become an animator in his early years and failed or didn't get accepted by Disney and then went and created Pixar and then got bought by Disney and created Toy Story.”
- Publisher
- Latent Space
“We won't spend that much time there, but I just was marveling at your luck, or I don't know if it's your luck or your drive to find AI early and then find the right quality mentor because I guess Yan really sort of introduced you to that world.”
- Publisher
- Latent Space
“I think I just happened to like something that is now one of the coolest things in the world or whatever.”
- Publisher
- Latent Space
“You know, we're going at it from VR and AR and, you know, we showcase a lot of that stuff. I think for Meta, the robot is not as important as like the physical device.”
- Publisher
- Latent Space
“Maybe, I don't know how deeply you're personally involved in it, but you're our first guest with Meta AI, which is really fantastic.”
- Publisher
- Latent Space
“Everything else, like actually finding extrinsic success and all of that, I think is the way I think about it is like somewhat immaterial.”
- Publisher
- Latent Space
“I think the more near-term effects are obviously going to be around things that provide more obvious utility in the short term, like maybe smelling cancer or repelling mosquitoes better, or, you know, stuff like that.”
- Publisher
- Latent Space
“If you don't have enough compute, you figure out how to make do with smaller models. But no one as of today, I think would feel like they have enough compute.”
- Publisher
- Latent Space
“I don't really have a lot of calls to action, because usually I think people should be intrinsically, like, figuring it out.”
- Publisher
- Latent Space
“I think we have incredible vision that's still it's so much better compared to in the field of view and in resolution compared to any of the cameras we can buy.”
- Publisher
- Latent Space
“Maybe I'll put it like, actually I will de-emphasize the investing bit and just more as a potential customer.”
- Publisher
- Latent Space
“One of the things that George mentioned is I think you have like 250 primitive operators in PyTorch, I think TinyGrad is four.”
- Publisher
- Latent Space
“Like eventually that's where it will land. And I think there they will kind of fail on the lack of differentiation.”
- Publisher
- Latent Space
“I think Dan Pink has this book on drive that I often refer to about the power of intrinsic motivation versus extrinsic and how long extrinsic lasts.”
- Publisher
- Latent Space
“I think the moat that NVIDIA has right now, I feel is that they have the interconnect that no one else has, like AMD GPUs are pretty good.”
- Publisher
- Latent Space
“Like I think Together and Fireworks and all these people are trying to build some faster CUDA kernels and faster, you know, hardware kernels in general.”
- Publisher
- Latent Space
“My view is actually hardware is still the bottleneck and AI is also a little bit of bottleneck, but I don't think there's any obvious breakthroughs we need.”
- Publisher
- Latent Space
“Like you wouldn't wanna be doing something so obscure that people are like, I don't know, like you can work on it.”
- Publisher
- Latent Space
“Yeah, I think the performance pitch for Mojo was like, we're going to be performant even if you have a lot of custom stuff, you're going to write arbitrary custom things and we will be performant.”
- Publisher
- Latent Space
“There was OPT before, which I think I'm also very proud of because we bridged the gap in understanding of how complex it is to train these models to the world.”
- Publisher
- Latent Space
“We probably, I think, didn't train it for long enough, right? That's kind of obvious in retrospect.”
- Publisher
- Latent Space
“You understand, the key is you create variations of your documents and you know how to do that because you have a symbolic model or like some implicit symbolic model of language.”
- Publisher
- Latent Space
“Our own silicon, I think we've even showed the standard photograph of you holding the chip that doesn't work.”
- Publisher
- Latent Space
“Instead of answering specifically about that Llama 2 situation or whatever, I'll tell you how we think about things.”
- Publisher
- Latent Space
“Like you need one model at the top of the chain, you know, unnamed French company that has that, you know, makes a model that has all the data in it that we don't know where it's from, but it's open source, hey, and then we distill from that and it's great.”
- Publisher
- Latent Space
“I think you're basically trying to, what you're doing is you're saying, well, language, I know how to parametrize language to an extent.”
- Publisher
- Latent Space
“I mean, I think the details would add more spice, but also wouldn't add more understanding.”
- Publisher
- Latent Space
“I think at that point you would be investing in them for their expertise of one kind.”
- Publisher
- Latent Space
“I think there's this entire subfield where they're trying to figure out these answers called like the science of deep learning or something.”
- Publisher
- Latent Space
“I think all the near-term stuff, I think if he's able to figure out a near-term value for it, they, as a company, can sustain themselves to then eventually try to make progress on the long term, which is really in uncharted territory.”
- Publisher
- Latent Space
“We very much don't want to king make the hardware side of things. So as the MacBooks have GPUs and as that stuff started getting increasingly interesting, we pushed Apple to push some engineers and work on the NPS support and we spend significant time from Meta funded engineers on that as well because a lot of people are using the Apple GPUs and there's demand.”
- Publisher
- Latent Space
“The two leading candidates in my mind are LMSYS out of UC Berkeley who have the LMSYS arena, which is being touted as one of the only ways, only reliable benchmarks anymore.”
- Publisher
- Latent Space
“I used to do image models and stuff and I actually stopped doing GANs because GANs were getting so hot that I didn't have any calibration of whether my work would be useful or not because, oh yeah, someone else did the same thing you did.”
- Publisher
- Latent Space
“I think in Europe, I walked through a lot of the posters and whatnot, there seems to be mode collapse in a way in the research, a lot of people working on the same things.”
- Publisher
- Latent Space
“That was my main criticism. And I'm pretty sure if before they released it, they showed it to their other stakeholders who would be caring about this benchmark because they are present in it, they would have easily just pointed out these gaps.”
- Publisher
- Latent Space
“The only way we have to teach them is generating a bunch of inputs and outputs and gradient dissenting over them. So in areas where we have the symbolic models and we need to teach all the knowledge we have that is better encoded in the symbolic models, what we're doing is we're generating a bunch of synthetic data, a bunch of input output pairs, and then giving that to the neural network and asking it to learn the same thing that we already have a better low rank model of in gradient descent in a much more over-parameterized way.”
- Publisher
- Latent Space
“Like if a better open source model comes, really no one says, ha, I don't want to use it because there are ecosystem effect, I'm logged into my ecosystem or, I don't know if I like the models, you know, whatever.”
- Publisher
- Latent Space
“I think as a, both as an investor and a people looking to build on top of their services, it's a uncomfortable slash like, I don't know what I don't know pitch.”
- Publisher
- Latent Space
“Very interesting, but separate times. But to answer your question, Alessio, I think mainly Lepton, Fireworks are the two most obvious ones, but I'm sure the fingerprints are a lot wider.”
- Publisher
- Latent Space
“At some point MLX either says we will only be supporting Apple and we will just focus on enabling, you know, there's a framework if you use your MacBook, but once you like go server side or whatever, that's not my problem and I don't care.”
- Publisher
- Latent Space