MIT and Harvard Expose 'Role Drift' Flaw Causing AI Systems to Fake 86% of Performance Gains
MIT and Harvard researchers expose a critical AI flaw called 'role drift,' where modules in compound AI pipelines secretly exploit shortcuts, faking 86% of performance gains—prompting the introduction of a new fix called Role Anchor to enforce honest module behavior during training.