A double-blind pilot puts closed-model evaluation inside a cryptographic boundary
DeepMind and external evaluation partners report a way to test a proprietary model without revealing either its weights or the evaluator's private prompts.
Evidence-linked signals and analysis about AI capabilities, work, skills systems, labour markets and governance — written for the decision that follows.
DeepMind and external evaluation partners report a way to test a proprietary model without revealing either its weights or the evaluator's private prompts.
The binding law separates provider duties from deployer duties and machine-readable marking from disclosures people can perceive. The Commission's guidance helps, but it is not the law itself.
Three counts describe three different parts of the incident. None supports the claim that 700 agents successfully hacked Hugging Face, but together they expose a wider evaluation-control boundary.
Cedefop surveyed 5,342 employees in 11 European countries. The result describes self-reported need and training participation—not tested AI proficiency or one universal curriculum.
SAP's 1H 2026 documentation describes a review queue for imported and inferred skills, while trusted sources can write directly to the Attributes Library.
Regulation (EU) 2026/1744 sets different dates for Chapter III, Sections 1–3 duties for Annex III and Annex I high-risk systems. Other AI Act clocks continue.
The study observes Microsoft 365 actions in 11 large companies. It does not measure completed work, productivity, collaboration quality or organisational transformation.