New OpenAI and Scale hires complain about bureaucracy inside Meta's AI division
“Basically, the level of bureaucracy inside of Meta specifically in its AI division is really a problem for a lot of people. I think that this is something that new employees that have come in from OpenAI and, you know, scale and whatnot have complained about, …”
Morcos: Yann LeCun was never defining Meta's AI strategy
“I don't think he was ever you know, or at least not since the beginning in a role where he was defining AI strategy for Meta. I don't think that's the role he wanted at any point. You know, I think he really wanted to be doing that research, and I think, so I …”
Kiela: FAIR was the first team to build a generative RAG model
“Why RAG became the way you name these things is because it's generative, right? So we were the first ones to have a generative model there.”
Meta FAIR focuses on building foundational models, not specific use cases
“Fair, we don't really build with a specific use case in mind. We try to build like these foundational models that can be applied to lots of different use cases out of the box.”
Chintala: Meta built FAIR because AI capabilities rate-limited Meta's product development
“And for, then, like, the thesis was very simple. It was, like, AI is currently rate-limiting Meta's ability to do things. Our ability to build various product integrations, moderation, various other factors. Like, AI was the limiting factor, and we just wanted…”
Bosworth: Meta's FAIR is the second most-cited AI research lab after Google
“People don't notice that FAIR, our AI research lab is are the second most cited research lab in AI behind Google.”
Pineau: Meta reorganized FAIR under product for faster AI feedback cycles
“The truth is right now, AI is moving so fast that it's really useful to be close to products that are in the hands of billions of people to be able to have that quick product innovation, that quick signal back to the research.”
LeCun: DeepMind, Meta FAIR, and Cohere are best positioned for AGI
“In my opinion, the outfits that are best positioned for this are Claire from on one side and the new DeepMind now, which is, you know, DeepMind plus Google brain. There are a lot of people there who are interested in that question, and I think they are probabl…”
Duboe: Faire's B2B Referral Mechanic Was the Key Driver of Early Growth
“I think their B to B referral mechanic was insanely powerful. And early on, like, that was the only thing that was working for growth and that continued to carry them this far.”
LeCun: Only large, profitable corporations can economically sustain industry AI research
“The economic model The only one I know outside of universities and philanthropy is industry research lab inside of a large company that has, that is profitable and is sufficiently well-established in this market that it can think for the long term and invest i…”
LeCun: Meta's Galactica AI demo was pulled by its development team
“Well, so what happened was the team that worked on it, which is within FAIR is called Papers with Code. They were so distraught by the reaction that they just couldn't take it. They said like, you know, we're just going to take it down. Like this was not a hig…”
Betakure: Loom, Coinbase, Chime, and Faire recently signed new office leases
“Companies like Loom and Chime, Coinbase, Benchling, Gem, Fair, Afterpay, all of these companies, many of which are our clients, have leased office spaces in the last six months.”
Rhodes: Faire launched with free returns and net 60 terms
“And so we realized in that moment, that was the core problem that we had to solve. And that's how we ended up launching fair with free returns, net 60 payment terms, basically like try before you buy.”
Pesenti: FAIR lab had about 300 researchers across eight offices in 2020
“We don't share, but you're yes. Bullpark is good. Yeah.”