Chapter 1: What is the main topic discussed in this episode?
Hey, everybody.
Chapter 2: What is Sakana AI's partnership with Google about?
Good morning. Good Monday morning. Good, very cold Monday morning for me from right outside of Washington, D.C., where we got five inches of snow yesterday and three inches of sleet on top of that. And if you are really lucky, you've got a little glaze of frozen rain. So nice. I do have power, which is why I'm here today.
Chapter 3: How has Sakana's approach to AI evolved over time?
And with me in the studio, I'm Beth. We have Andy and Brian. We had an interesting weekend. Hey, everybody. A lot of talk about Clawed Bot. A lot of talk about some other things. I have a kind of news story just to start us off, and then I'll pop over to Andy or Brian. I don't know.
That's not a favorite story, so please go with it.
Sakana, who we've been talking about forever because we thought evolutionary model merge was so cool, announced a partnership with Google. And the partnership includes Sakana AI making active use of Google technologies as the Gemini generative AI model in product development. So it's very exciting for Sakana.
Chapter 4: What are the implications of generative AI traffic share changes?
It's another move toward major frontier lab companies highlighting Japan as a resource or a hub that they want to use. And if we remember, I don't know, a year and a half ago or 10 years or yesterday, the research that came out that said Japan was... a huge AI adopter for its size, right? The proportion was really amazing. So congrats to our Sakana pals. That's right.
If you are in Japan or speak Japanese, look them up. They're hiring. They're looking for people to take advantage of this. So congrats.
Chapter 5: What is Claude Bot and how does it function?
I'm going to add to it here.
So Sakana is the ninja of AI. They're not doing large scale model training. What they're doing is finding the clever ways to slice and dice with novelty and innovation. And this is why Google's interested in them, because scaling is kind of reaching a limit. of what you can accomplish.
And the founder of Sakana, the guy named Leon Jones was one of the authors of the attention is all you need paper, which goes back.
Chapter 6: What are the hardware requirements for local AI models?
So he's from, he's like one of the O G a I thought leaders. And he's built Sakana over in Japan and, And so there were eight authors of Attention is All You Need. He's one of them. And I saw a little blurb this morning that only two of the original authors are still working for Frontier Labs.
All the rest of them have spread out and started their own companies or otherwise are working in different spaces at this point. Okay, so Sakana is not like building bigger, you know, multi-trillion parameter AI models.
Chapter 7: How does Claude Code compare to traditional workflows?
They're advancing AI technologies with new architectures. And this is why Google's interested in them. And specifically, Demis Hassabis, of Google DeepMind was one of the commentators on this combination between Google and Sakana. So yeah, we've always been noting Sakana as this out-of-the-box thinker that's doing things that you wouldn't expect.
Not following the pack, but rather really cutting through and doing some interesting things. One of the things that they got a lot of attention for is called AI Scientist.
Chapter 8: What does the rise of world-model APIs mean for the future?
That's an automated research system that generated a paper that passed review from the major authorities on scientific paper publishing. The first truly AI authored paper to do so. And then just this last month, their ALE agent was the coding agent that was the first one to win the major optimization programming contest.
Optimization being one of the more difficult mathematical problems that you have with multiple variables. And you can imagine like, hey, optimize this factory floor operation, and it's got a comprehend and then optimize for every one of the different interactions and transactions. That's the kind of contest that it won. And why isn't somebody like Gemini winning that one?
Well, because Sakana has some secret sauce that Gemini is going to take advantage of. And Sakana will take advantage of Gemini's large transformers now. And there's going to be a collaboration between those two companies. Really, really important step for Sakana.
So you named a lot of the stuff that I was going to say, so I won't repeat that, which is great. I'm glad we're all, we're all excited about this. The main thing I wanted to bring up was that the same gentleman, the one of the original eight that's at Sakana, he famously said he's tired or bored of transformers, right?
He's one of the, he's one of the main people who was on that paper, one of the eight. And then he's like, I don't think this is, you know, I think it has a role to play in AGI if I'm paraphrasing, but I think it's one of the parts, right? of it. It's not the entire thing.
Now this mirrors what we see when we see people like Fei-Fei Li, who I want to talk about today, with world models and things like that, where there's more than just the Transformer. And so if you just go to Sakana, in fact, I'll put it in the
the chat here but sakana.ai and then forward slash blog because if you just go to their home pages it's very very simple and then they have a couple links there but um to your point andy about the ai scientist that came out a year and a half ago now or at least next month it would be a year and a half ago which again to beth's point in ai timelines that's forever ago
So, you know, they've been at this for a while. We've been impressed with them. I want to give. Usually I say somebody else and then Beth, you're like, it was me. I think it was me. But who brought who brought Sakana to this show first? Was it you me? I feel like I I don't know.
I know it wasn't me.
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