open-weights-models

Coverage of models whose trained weights are openly published, letting teams download, run, fine-tune, and deploy them on their own infrastructure. Expect practical guidance on evaluating open-weight releases, the tradeoffs against closed API models, and the questions of licensing, control, and reproducibility they raise. A recurring theme is sovereignty: keeping critical AI capability available and under your control when external providers can restrict or revoke access.

Security analyst running a local server as a cloud API goes dark, showing offline AI security infrastructure

abliteration, llm-security, open-weights-models, red-teaming, ai-censorship, cybersecurity, fable, antrophic, mythos

When Availability has become a first-class AI capability metric

The Mythos/Fable blockade revealed a new reality: a model's benchmark score is zero when it's unavailable by decree. In the age of strategic AI, availability has become a capability of its own—and open-weight models are how organizations reclaim it.