Friday's episode follows a new kind of AI power map: compute contracts that read like product roadmaps, government proposals that blur investor and regulator, and model releases that only matter if someone can afford to keep them running.

• CNBC on Google's SpaceX compute agreement reports a $920 million-per-month deal for about 110,000 Nvidia GPUs, with delivery clauses that make infrastructure timing part of the product promise.
• Techmeme's Bloomberg summary on Anthropic TPU financing points to a $35 billion package involving Apollo, Blackstone, Broadcom, and leased TPUs, showing how AI capacity is increasingly financed like long-lived infrastructure.
• CNBC on OpenAI and a possible U.S. government stake says terms aren't settled, but the discussions expose a harder question about who benefits when the state becomes customer, regulator, and possible owner.
• Techmeme's Reuters summary of the AI national security memorandum anchors the policy side: the government wants faster AI adoption across intelligence and warfighting domains, while officials emphasize responsibility and vendor diversity.
• Al Jazeera on Anthropic's coordinated-pause proposal captures the safety argument and the verification problem: a slowdown only works if rivals can't exploit it in secret.
• Perplexity's Nemotron 3 Ultra post is a smaller release, but it usefully names the operator demand: open models built for long-running agents inside paid products.
• Forbes on Chinese video AI stacks argues that video generation is finding a market where platforms also own distribution, studios, and daily demand.