Public evidence record
Published podcast speaker
Claim ledger
19 transcript-backed records
01 / belief
“I think I just happened to like something that is now one of the coolest things in the world or whatever.”
02 / belief
“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.”
03 / belief
“Everything else, like actually finding extrinsic success and all of that, I think is the way I think about it is like somewhat immaterial.”
04 / belief
“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.”
05 / belief
“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.”
06 / belief
“I don't really have a lot of calls to action, because usually I think people should be intrinsically, like, figuring it out.”
07 / belief
“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.”
08 / belief
“Like eventually that's where it will land. And I think there they will kind of fail on the lack of differentiation.”
09 / belief
“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.”
10 / belief
“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.”
11 / belief
“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.”
12 / belief
“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.”
13 / belief
“We probably, I think, didn't train it for long enough, right? That's kind of obvious in retrospect.”
14 / belief
“Instead of answering specifically about that Llama 2 situation or whatever, I'll tell you how we think about things.”
15 / belief
“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.”
16 / belief
“I mean, I think the details would add more spice, but also wouldn't add more understanding.”
17 / belief
“I think at that point you would be investing in them for their expertise of one kind.”
18 / belief
“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.”
19 / belief
“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.”