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How Trees Teach Us About AI Safety
general

How Trees Teach Us About AI Safety

A LessWrong article argues that trees, which are mostly air, offer a counterintuitive lesson for AI safety: true safety comes from structural resilience, not merely from efficiency or sustainability. The draft oversimplifies this by focusing on resource efficiency rather than the article's core point about failure modes and robustness.

RuleChef: Making AI Rules Editable by Humans
research

RuleChef: Making AI Rules Editable by Humans

Researchers introduced RuleChef, a system that uses LLMs to generate executable rules for NLP tasks like text classification, NER, and relation extraction. Rules are created from task descriptions and labeled examples, then iteratively improved via human feedback or additional examples. The system can also bootstrap rules from any existing model's input-output pairs.

via ArXiv cs.CL#ai#research#nlp