1081 summarised stories about AI Governance, each linking back to the original source. Browse all topics →
The Verge 2 months ago 27 ● 3 sources
OpenAI disbanded its preparedness team at the end of last month. The Financial Times said the team was dissolved at the end of August 2026. Risk assessment for areas like bio and cyber was reassigned into existing teams as OpenAI reorganizes ahead of its expected large IPO.
Simon Willison’s Weblog 2 months ago 25 ● 3 sources
Dario Amodei argues that AI’s public backlash is mainly a trust crisis rather than fear caused by AI leaders warning about risks. He says “curing cancer” is what will build trust, contrasting it with marketing claims like AI curing cancer as a cliché. As a result, he urges AI companies to focus criticism and effort on delivering outcomes that match their promises instead of changing messaging.
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19 October 2026
NVIDIA’s decision to open-source Run:ai under Apache 2.0 is the day’s most consequential signal: AI compute is getting treated less like proprietary infrastructure and more like inspectable, forkable plumbing. The release puts Run:ai’s Kubernetes GPU orchestration code on GitHub and, in the local build, spins up a five-node Kind cluster pinned to Kubernetes v1.32.5 with eight simulated Tesla-A10 GPUs. That means teams can now audit scheduling behavior, adapt deployment patterns, and self-host without a paid subscription—though the community edition still stops short of NVIDIA enterprise support. In practice, it moves GPU fleet management closer to the software engineers who already live inside CI/CD pipelines, rather than keeping it behind enterprise procurement gates.
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