Proposal: a legal ontology separating open-weight hosts from frontier labs for AI liability
jd_pressman · x · 2026-09-13
jdpressman proposes a legal ontology as the first step toward satisfactory AI liability rules: distinguish a hosted service running an open-weight model it didn't train from a frontier lab that trains and serves its own model. He suggests a Section 230-style law for raw inference providers — but, as with social media algorithms straining 230's spirit, passing liability to users would require strict conditions.
Related event: Who Liable When AI Agents Cause Harm? X Debates Accountability(17 posts)→
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