Feather is betting on a customizable, $30,000 platform built for software developers. spr.ly/6013BGiVl1

Introducing SPARSEUP: the first model release from @Linkup_platform , and the missing sparse companion of DenseOn and LateOn. Same backbone, same data, <150M, 56+ on BEIR-13. The model is open-source, use it! Blog: linkup.so/blog/introducing-s… Model: huggingface.co/Linkup-Platfo… (Apache 2.0)

After 10 incredible years at Google, I've left @GoogleDeepMind to join @thematthewosman and @FabioZB_I at Polyphron as a co-founder and explore the next frontier in my research passions. Together, we're training frontier models that autonomously explore, understand, and physically reproduce human tissue biology. It's our grand vision to grow tissues realistic enough to match human response to all drugs, and realistic enough to recover organ function when transplanted into living organisms. Other than the bitter lesson, I think another lesson remains true in the history of ML: the more directly you can optimize your end goal, the better your outcome will be. IMO this is one lesson largely missed in the drug discovery and computational biology space today, and one that Matt and Fabio understood very clearly (and why I joined them on this journey!). At the heart of our company is one giant RL problem: propose a recipe to grow tissue, sample life itself, reward directly against the functionality of the tissue. If this sounds exciting to you as either an AI or Life scientist, feel free to reach out! We're building the coolest lab in NYC :) I'll never forget all of the {pretraining, RL, self-improvement} projects I worked on with my brilliant friends at GDM over the years, but I'm even more excited to share the things we discover next! (p.s. this isn’t the first time i RL’d something based off of similarity, iykyk)

Lambda's @stephenbalaban: If we offshore the data center buildout, we not only lose data center jobs. We also undermine reindustrialization, and lose the jobs reindustrialization would bring back. Because the AI buildout is driving the buildout of the domestic grid, which is paving the way for offshored industries to come back to the US. "It would be a national tragedy. In the very moment when this country needs to rebuild our grid." "AI is a national strategic asset, in my opinion. Compute is a national strategic asset. And most importantly, the way that AI is driving the development of the grid is going to pave the way for more industrial onshoring to come back to the United States so that we can bring back different [industries]." "Whether it's electric arc furnace mills for aluminum and steel, micromills, turbine manufacturing, other types of energy-intensive [industries]... And there's going to be a lot more jobs because of that. It's a huge virtuous cycle." "I want those jobs here in the United States. I want those investments to be made here in the United States."

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