If continual learning is solved, local weight copies will defeat all safety filters
AashaySachdeva · x · 2026-08-17
The author raises a safety concern: if continual learning is solved and everyone has their own copy of the weights, all the built-in safety filters become effectively useless. This touches on the long-standing tension between open-weight models and alignment guardrails — once a model can be fine-tuned locally at will, vendor-side safety measures cannot be enforced.
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