Dwarkesh Podcast
Mark Zuckerberg - Llama 3, Open Sourcing $10b Models, & Caesar Augustus
18 Apr 2024
Mark Zuckerberg on:- Llama 3- open sourcing towards AGI- custom silicon, synthetic data, & energy constraints on scaling- Caesar Augustus, intelligence explosion, bioweapons, $10b models, & much moreEnjoy!Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform. Human edited transcript with helpful links here.Timestamps(00:00:00) - Llama 3(00:08:32) - Coding on path to AGI(00:25:24) - Energy bottlenecks(00:33:20) - Is AI the most important technology ever?(00:37:21) - Dangers of open source(00:53:57) - Caesar Augustus and metaverse(01:04:53) - Open sourcing the $10b model & custom silicon(01:15:19) - Zuck as CEO of Google+SponsorsIf you’re interested in advertising on the podcast, fill out this form.* This episode is brought to you by Stripe, financial infrastructure for the internet. Millions of companies from Anthropic to Amazon use Stripe to accept payments, automate financial processes and grow their revenue. Learn more at stripe.com.* V7 Go is a tool to automate multimodal tasks using GenAI, reliably and at scale. Use code DWARKESH20 for 20% off on the pro plan. Learn more here.* CommandBar is an AI user assistant that any software product can embed to non-annoyingly assist, support, and unleash their users. Used by forward-thinking CX, product, growth, and marketing teams. Learn more at commandbar.com. Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
Full Episode
Mark, welcome to the podcast. Hey, thanks for having me. Big fan of your podcast. Oh, thank you. That's very nice of you to say. Okay, so let's start by talking about the releases that will go out when this interview goes out. Tell me about the models. Tell me about Meta AI. What's new? What's exciting about them?
Yeah, sure. So, you know, I think the main thing that most people in the world are going to see is the new version of Meta AI. Right. So it's and, you know, the most important thing about what we're doing is the upgrade to the model. We're rolling out Lama 3. We're doing it both as open source for the dev community and it is now going to be powering Meta AI. So.
There's a lot that I'm sure we'll go into around Llama 3, but I think the bottom line on this is that with Llama 3, we now think that Meta AI is the most intelligent AI assistant that people can use that's freely available. We're also integrating Google and Bing for real-time knowledge. We're going to make it a lot more prominent across our apps.
So basically, at the top of WhatsApp and Instagram and Facebook and Messenger, we're Uh, you'll just be able to, um, you know, use the search box right there to ask, ask any question. Um, and there's a bunch of new creation features that we, that we added that I think are pretty cool that I think people enjoy. Uh, and I think animations is, is a good one.
Um, you can basically just take any image and animate it. But I think one that, that, uh, people are going to find pretty wild is, uh, it now generates high quality images so quickly. I don't know if you've gotten a chance to play with this, that it actually generates it as you're typing and updates it in real time.
So you're like typing your query and it's kind of like honing in on, and you know, it's like, okay, here, you know, show me a picture of a cow, okay, in a field with mountains in the background. It's just like everything's popular. Eating macadamia nuts, drinking beer. And like, it's just like, it's updating the image in real time. It's pretty wild. I think people are going to enjoy that.
So, yeah, so that I think is that's what most people are going to see in the world. Right. We're rolling it out, you know, not everywhere, but we're starting in a handful of countries and we'll do more over the coming weeks and months. So that's that I think is going to be a pretty big deal. And I'm really excited to get that in people's hands. it's a big step forward for Meta AI.
But I think, you know, if you want to get under the hood a bit, the Llama 3 stuff is obviously the most technically interesting. So, you know, we're basically, for the first version, we're training three versions, you know, an 8 billion and a 70 billion, which we're releasing today, and a 405 billion dense model, which is still training. So we're not releasing that today. But
The 8 and 70, I'm pretty excited about how they turned out. They're leading for their scale. We'll release a blog post with all the benchmarks so people can check it out themselves. Obviously, it's open source so people get a chance to play with it. We have a roadmap of new releases coming. That are going to bring multimodality, more multilinguality, bigger context windows to those as well.
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