Evidence receipt / commitment
Published · transcript-backedMark Zuckerberg: commitment
18 Apr 2024 Dwarkesh Podcast Mark Zuckerberg — Llama 3, $10B models, Caesar Augustus, & 1 GW datacenters
“At that point we started a second group, the gen AI group, with the goal of bringing that stuff into our products and building leading foundation models that would power all these different products.”
Source trail
Everything needed to verify it.
- Speaker
- Mark Zuckerberg
- Attribution
- Verified speaker
- Claim type
- commitment
- Recorded
- 18 Apr 2024
- Publisher
- Dwarkesh Podcast
Transcript context
…You've had Facebook AI Research for a long time. Now it's become seemingly central to your company. At what point did making AGI, or however you consider that mission, become a key priority of what Meta is doing? It's been a big deal for a while. We started FAIR about 10 years ago. The idea was that, along the way to general intelligence or whatever you wanna call it, there are going to be all these different innovations and that's going to just improve everything that we do. So we didn't conceive of it as a product. It was more of a research group. Over the last 10 years it has created a lot of different things that have improved all of our products. It’s advanced the field and allowed other people in the field to create things that have improved our products too. I think that that's been great. There's obviously a big change in the last few years with ChatGPT and the diffusion models around image creation coming out. This is some pretty wild stuff that is pretty clearly going to affect how people interact with every app that's out there. At that point we started a second group, the gen AI group, with the goal of bringing that stuff into our products and building leading foundation models that would power all these different products. When we started doing that the theory initially was that a lot of the stuff we're doing is pretty social. It's helping people interact with creators, helping people interact with businesses, helping businesses sell things or do customer support. There’s also basic assistant functionality, whether it's for our apps or the smart glasses or VR. So it wasn't completely clear at first that you were going to need full AGI to be able to support those use cases. But in all these subtle ways, through working on them, I think it's actually become clear that you do. For example, when we were working on Llama-2, we didn't prioritize coding because people aren't going to ask Meta AI a lot of coding questions in WhatsApp. Now they will, right?…
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