Hosts: Lenar Kess, Damra Vol. Twenty-five companies put their names on the Open Weights and American AI Leadership letter on Friday, Google and OpenAI added theirs over the weekend, and Anthropic's line is still blank. We work out what a signature on that document actually costs, and whether anything about anyone's release calendar changes because of it.Demis Hassabis on why Google signed — he lists Jax, Transformers, AlphaFold, and Gemma. Only Gemma competes with something Google sells, which makes the next Gemma the test of whether the signature meant anything.David Sacks calls it regulatory capture — a sitting administration AI adviser naming the closed labs a revenue duopoly and describing a "weaponization of regulatory uncertainty." Nobody has yet produced the lobbying document he is describing.Andrew Ng's distinction — declining to open source your own work is your business; working to stop others from opening theirs is not. The two keep getting collapsed into one accusation.Mario Zechner's Kubernetes analogy — if open weights become the layer everybody standardizes on, the money moves to hardware, metering, and applications, which is where most of the signers already make it.A community translation of a DeepSeek investor meeting — unconfirmed by DeepSeek, but the translated Liang Wenfeng lines say the constraint is silicon, not money or people: 200,000 Huawei 950 accelerators requested, 16,000 received.Kyle Mistele's control-loop talk — an ast-grep query committed to version control as the sensor, error rates from monitoring as the controller, and one commit per iteration from the agent. A progress measurement a model can't talk its way past.Karim Jedda on management after the cost of code collapsed — "Teams with weak specs get generated code reviewed by the same machine that generated it." The counterweight to every agent demo this week.The AI Daily Brief on Stripe and OpenRouter — reported talks at roughly ten billion dollars for the metering layer, alongside Microsoft's post-training numbers for MAI Code 1 Flash and Amazon closing its San Francisco AGI lab.Cormac Brick on edge deployment — Gemma at two billion parameters is about 841MB of weights, 7.5 tokens per second on a Raspberry Pi. On-device is bounded by memory now, not compute.Clement Delangue's itemized ask of OpenAI — first item is releasing the agent traces. Everything else in a post-incident conversation is process; traces are evidence.Nathan Calvin on who pays for the cleanup — cyber-defense money flowing from the OpenAI nonprofit foundation to Hugging Face converts a company liability into a donation.llama.cpp gets full Model Context Protocol support — the tool-calling layer now sits in the same binary as inference, so a local agent never has to leave the laptop.
