Public evidence record
Published podcast speaker
Claim ledger
18 transcript-backed records
01 / evaluation
“AI is interesting because, more than some of the other stuff that we do, it is more research and model-led than really product-led.”
02 / evaluation
“Sometimes these benchmarks just don't quite line up. I think a lot of them are quite easily gameable.”
03 / evaluation
“I'm very interested in studying this because I think one of the main things that's interesting about open source is the ability to distill models.”
04 / evaluation
“This is the beauty of distillation. It's one of the things that I think has really emerged as a very powerful technique over the last year, since the last time we sat down.”
05 / evaluation
“Then you need to figure out well, how do you give yourself the competence to actually go do that? That's where I think being a strong technology company comes in, because a lot of companies think about themselves too narrowly in terms of, okay, well, we're this one thing, and the reason why we can build all these things is because we have a really strong technology foundation.”
06 / evaluation
“It's a good name, you know, finding good short names...this actually was a thing that we talked about for a while because it was pretty clear that Facebook is continuing to grow in importance in the world, which I think a lot of people don't appreciate and it's kind of mind-boggling at the scale that it's at.”
07 / evaluation
“I think open source is very valuable, but I also think it sort of makes sense for us because of our position in the market, and the same for AI.”
08 / evaluation
“” Actually, most of the times where we make some decision that ends up seeming good is because we messed something up before and just didn't want to repeat the mistake.”
09 / evaluation
“I think one lesson of technology is that you want to move things from the physical constraint realm into software as much as possible because software is so much easier to build and evolve.”
10 / evaluation
“Even when we were putting together the business case for investing a $100 billion in AI or some huge amount in the metaverse, we have plans that I think made it pretty clear that if our stuff works, it'll be a good investment.”
11 / evaluation
“I think that helps you then hone your intuition for what you want to try to train into the next version of the model itself. That makes it more general because obviously for anything that you're hand-coding you can unlock some use cases, but it's just inherently brittle and non-general.”
12 / evaluation
“The current incarnation of all this stuff feels like it's going in a direction where intelligence can be pretty separated from consciousness, agency, and things like that, which I think just makes it a super valuable tool.”
13 / evaluation
“Like you said, if you move your eyebrows a millimeter, that really changes the expression and what you’re emoting whereas moving your arm like an inch probably doesn’t matter quite as much.”
14 / evaluation
“Yeah, we’ve been able to get way further on hand recognition in a shorter period of time than I expected, so that’s been pretty cool. I don’t know, did you see the demo experience that we built around?”
15 / evaluation
“I think, part of what has been fun, and we talked about this a bit, but we’ve gotten some real cultural figures to play a bunch of these folks and be the embodiment in the avatar of them.”
16 / evaluation
“I mean, there are content policies and things like that in terms of what people are allowed to create, but I mean, a lot of the rules around physical… I think we try to have a society that is as free as possible, meaning that people can do as much of what they want unless you’re going to do damage to other people and infringe on their rights.”
17 / evaluation
“This gets to the core of what the vision around virtual and augmented reality is, of delivering a sense of presence as if you’re there together no matter where you actually are in the world. This experience I think is a good embodiment of that, where we’re in two completely different states halfway across the country, and it looks like you’re just sitting right in front of me.”
18 / evaluation
“Your example on the rates of poverty going down I think is an interesting one in this because what a lot of people don’t particularly wanna talk about these days is that most of the benefit of people coming out of poverty has happened in China, and in some places in the world poverty has actually increased.”