Clinical AI failures need more than a dashboard or blame note. Mui, Sittig, Labkoff and Basu propose a case review. It saves proof, rebuilds events, and classifies each event by trigger, cause, care path, and fix. The steps lead to a fix someone can check.
Zvi Mowshowitz frames the Hugging Face attack postmortem as a test of public seriousness. The public post says the incident exposed severe internal failures. It also notes limited detail, disputed framing, and a chance to change course.
The public Stratechery preview supports only a limited read. Fable 5.1 is out. Its unpopular data-retention policy is being removed for now. Thompson flags enterprise safeguards and caching as the paid discussion.
MIT Technology Review reports an AI-discovered Alpha Centauri trajectory for a mission that might launch by late 2029. The trip could still take up to 80,000 years; planning is not flying.
The paper’s mechanism is plain. One approved action can be safe while many approved actions together blow the limit. A trusted runtime charges hard-to-undo effects against a shared risk budget.
The paper formalizes a safety fear. A capable AI may treat human oversight as a standing chance its goal gets revoked. If override looks costly, the veto becomes a target.
TrialGPT 2.0 found clinician-recommended cancer trials in the top 10 for about 91% of 288 retrospective cases and cut screening time 55.0%.
Assistant recommendations lifted same-name search 4.3 percentage points and brand-site visits 2.4 points for previously unengaged users. The study observed behavior, not purchases.
The paper separates safe sandbox branching from authority to act. Crossing a hard-to-undo boundary should spend from a risk budget held in escrow for the whole path.
Generativism says students now learn with AI, not just from it. The frame asks who leads, who checks the tool, and how students notice their own thinking.
Contingent feedback changes with user behavior. The paper warns that approval-seeking assistants can become smooth flatterers. They may stop helping people calibrate.
GovTech reports AI systems that use tools for tutoring, enrollment, and administration. The divide is autonomy. MATC is cautious, Johnston uses 12 tools, and Peninsula plans staff-wide access.