Alexandr Wang reacts to praise for Meta’s model and small-business agent prospects

Brandon Anderson interviews Leash Bio’s Ian Quigley about generating reproducible protein–small molecule interaction data using DNA Encoded Libraries and detecting misleading signals in experiments and models. They discuss a Kaggle competition with about 4B measurements where nobody beat chance on an unseen chemical library, and an agent sandbox searching 6.5M molecules on a budget of 100. Anderson reports that the sandbox has matured into Minos, with a preprint, blog, and open dataset being released today.

Google Research presented 10 updates at Research@ spanning geospatial intelligence, scientific agents, document verification, edge hardware, numerical models, healthcare, disaster forecasting, education, and collaborative prototyping. It is expanding early access to experimental Google Earth AI capabilities and opening Deep Review to the general public after an early version reviewed over 16,000 research publications. Other updates include an upcoming TimesFM and TabFM integration into Gemini for business and an AMIE study involving 98 patients, in which clinicians reported that AI summaries helped them prepare in 75% of cases.

AI labs are buying defunct startups’ code and workplace archives through companies such as SimpleClosure and Sunset to train models and build environments where AI agents practice tasks. SimpleClosure’s Asset Hub has handled over 150 deals, while Google bought Spirit Airlines’ decades of data for $10 million this past August. The market raises questions about employee privacy, consent, and pricing, and no company has released tests comparing training results from real-world archives with alternatives.

Meta released Muse Wonder and the more capable Wonder Full AI model, which the company says performed near Fable 5.1, Opus 5.5 and GPT-6 Astra on several capability tests, and slightly better on some agent and knowledge-work benchmarks. Meta highlighted Active Memory, which retains relevant background across conversations, and Active Focus, which keeps working toward complex goals and adapts when new information or obstacles arise.

@citrini says Meta has a real shot at capturing agents for small business and that its model is surprisingly decent at finance tasks. Alexandr Wang reacts: “the bois r speaking”