97 summarised stories about AI Alignment, each linking back to the original source. Browse all topics →
OpenAI 1 year ago 10
Anthropic released an updated framework for assessing and mitigating severe risks from advanced AI systems. The framework provides structured methods for evaluating frontier AI capabilities and their potential harms. Organizations developing large AI models can use these guidelines to implement safety measures before deployment.
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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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