Google's AI Co Scientist and the True Power of Multi-Agent Systems
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The AI Daily Brief: Artificial Intelligence News and Analysis
15 min
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2 chapters
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What are the latest headlines in AI?
Today on the AI Daily Brief, Google's AI co-scientist shows the future not only of scientific research, but of multi-agent systems. Before that in the headlines, is meta-AI going enterprise? The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. To join the conversation, follow the Discord link in our show notes.
We kick off today with some interesting intrigue around Meta and their AI strategy. This is something I've been watching closely. I think a lot of people have wondered, is Meta going to try to compete in the enterprise or corporate domain? Or are they just going to try to own consumer AI or at least the foundations and underpinnings of consumer AI? Certainly, Meta is at core a consumer company. Facebook, WhatsApp, Instagram, these are all consumer products that touch a huge portion of the world's population. And even their interactions with businesses are mostly in the form of selling them ad space to sell to those consumers. Lama, though, is really interesting because Lama as a platform and as the vanguard US open source AI leader has a ton of potential in that enterprise sphere.
And so I've been wondering if they were going to make a play for that space. This got a little bit more interesting last November when Meta poached Clara Shi from Salesforce. She had been the CEO of Salesforce AI and joined Meta to explicitly start a new group that was building AI tools for business. Subsequent to joining Meta, it sounds like she went and recruited a bunch of people from throughout the company who had worked on some of the key products. The speculation is now about what they're actually going to do. One thing that the information point out is that last year they had posted a role called Director of Public Senator Engagement that was responsible for, quote, building and leading a high-performing team from the ground up to drive adoption of safe and transformative solutions for AI across federal, state, and local government agencies.
And just before it had posted that role, interestingly, Meta had also started to allow its AI models to be used by the U.S. military. Right now, it's all still very mum, but you're starting to get the type of leaks and intrigues that suggest that maybe they're going to make bigger play in the enterprise. Certainly from the standpoint of super intelligent, that's something we're watching closely as it would absolutely be a player and change the calculus for big enterprise companies thinking about their AI and agentic strategies. Speaking of big companies, apparently money talks and BS walks because despite years of lambasting Microsoft and all the other big companies, Salesforce is now in talks with Microsoft, Oracle, the company they were basically designed to disrupt, and Google about cloud deals to handle their AI.
Salesforce's president and chief engineering officer said in an interview earlier this week that they're in advanced negotiations with Microsoft, Google, and Oracle for a deal worth more than a billion dollars over the next several years. Salesforce apparently wants to rent the servers to run its customer management, AI agent, and other applications. Obviously, if you've been watching Salesforce at all, agent force is the big focus of the company. It is very clear to me, frankly, that Benioff is betting the entire farm on agent force and what it becomes. Billion dollars isn't nothing, obviously, but will Microsoft get over the fact that Benioff has just been out here screaming about what a disaster Copilot has been?
Get the popcorn because this is going to get interesting. Moving over into the world of startups, sort of, I don't exactly know what you would consider DeepSeek, given that they came out of a multi-billion dollar hedge fund. But in any case, DeepSeek, as the lab that has been putting out these models that have everyone in a tizzy, is apparently considering raising outside money for the first time. This seems to be based on the reporting, both an opportunity consideration as well as a constraint consideration. Because it came out of this quantitative hedge fund, it hadn't needed to raise outside funding so far, but it now has so much use that it probably needs to resource up.
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