Evidence receipt / prediction
Published · transcript-backedMark Zuckerberg: prediction
18 Apr 2024 Dwarkesh Podcast Mark Zuckerberg — Llama 3, $10B models, Caesar Augustus, & 1 GW datacenters
“I think that that will shift from something that feels more like a chatbot, where you ask a question and it formulates an answer, to things where you're giving it more complicated tasks and then it goes away and does them.”
Source trail
Everything needed to verify it.
- Speaker
- Mark Zuckerberg
- Attribution
- Verified speaker
- Claim type
- prediction
- Recorded
- 18 Apr 2024
- Publisher
- Dwarkesh Podcast
Transcript context
…If you're doing $10Bs worth of inference or even eventually $100Bs, if you're using intelligence in an industrial scale what is the use case? Is it simulations? Is it the AIs that will be in the metaverse? What will we be using the data centers for? Our bet is that it's going to basically change all of the products. I think that there's going to be a kind of Meta AI general assistant product. I think that that will shift from something that feels more like a chatbot, where you ask a question and it formulates an answer, to things where you're giving it more complicated tasks and then it goes away and does them. That's going to take a lot of inference and it's going to take a lot of compute in other ways too. Then I think interacting with other agents for other people is going to be a big part of what we do, whether it's for businesses or creators. A big part of my theory on this is that there's not going to be just one singular AI that you interact with. Every business is going to want an AI that represents their interests. They're not going to want to primarily interact with you through an AI that is going to sell their competitors’ products. I think creators is going to be a big one. There are about 200 million creators on our platforms. They basically all have the pattern where they want to engage their community but they're limited by the hours in the day. Their community generally wants to engage them, but they don't know that they're limited by the hours in the day. If you could create something where that creator can basically own the AI, train it in the way they want, and engage their community, I think that's going to be super powerful. There's going to be a ton of engagement across all these things. These are just the consumer use cases. My wife and I run our foundation, Chan Zuckerberg Initiative. We're doing a bunch of stuff on science and there's obviously a lot of AI work that is going to advance science and healthcare and all these things. So it will end up affecting basically every area of the products and the economy. You mentioned AI that can just go out and do something for you that's multi-step. Is that a bigger model? With Llama-4 for example, will there still be a version that's 70B but you'll just train it on the right data and that will be super powerful? What does the progression look like? Is it scaling? Is it just the same size but different banks like you were talking about?…
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