AI Safety Researcher: Don't Train Dangerous Models for Interpretability Gains
ericjmichaud_ · x · 2026-08-27
Researcher ericjmichaud added a clarification regarding the risks of using models to accelerate interpretability research:
- Core Stance: We should not train models that pose grave risks, even if they would significantly accelerate interpretability research.
- Trade-off: If we must slow down progress before models become safe enough for such acceleration, then so be it.
This highlights the deep tension within AI safety between technical advancement and risk control.
Related event: Interpretability research may take a century, researcher warns(4 posts)→
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