
Hosts: Lenar Kess, Damra Vol. Two days after voters rejected data center construction at the ballot box, OpenAI published a community blueprint that promises to avoid NDAs, protect ratepayers, and cut peak-hour power use, while the Wall Street Journal reports it discussed resetting its 2027 capacity. Today's episode asks which of those promises bind anyone, and then covers a run of other news.OpenAI's blueprint introduces a National Community Compact and Compute Campus Policy Blueprint; CNBC and Bloomberg via Techmeme list the pledges, which matters because a proposal is not a contract.Axios has Chris Lehane's 1996 comparison, the community-payment race among Amazon, Microsoft and OpenAI, and the warning that new state leaders want binding agreements; the Wall Street Journal via Techmeme reports OpenAI discussed resetting its 2027 capacity plans.The Guardian and TechCrunch cover the political side as a Democratic Congress prepares to take committee control.Reuters, Bloomberg and Bloomberg on CoreWeave show hyperscalers up and developers and neocloud creditors down; the Financial Times and Reuters report Microsoft passing on a bigger Nscale option and Google backstopping TeraWulf.OpenAI's kernel post reports 948 Linux privilege-escalation bugs found and patched in one run; Smol AI's digest supplies the 1.2 million dollar cost, and SiliconANGLE shows the patch-cycle pressure on database vendors.Conductor's announcement, SiliconANGLE on Pierre, Business Insider on Cat Wu and the Wall Street Journal on Brockman show the coding-agent layer being absorbed by labs.CNBC reports Moonshot seeking Blackwell capacity from European neoclouds, and Geopolitechs reports DeepSeek's plan to pretrain V5 on Huawei Ascend.OpenAI's Astra report and Anthropic's provable inference post bracket the question of how far to trust a model's output.Ripple-65B and Clement Delangue's Wired interview cover a US-origin open-weight model and the argument that closed labs carry the risk.Wise's job agreement talk and Ramp's specialist-model talk set a bounded-authority design and a build-your-own-model result beside Blackstone's wait-for-the-next-model view.TechCrunch reports the backlash to Google's plan to cut off Search for schools that restrict AI.
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