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Ronan Farrow discusses The New Yorker’s investigation of Sam Altman, highlighting credibility concerns and a practical checklist for founders and teams to verify high‑stakes claims.
Step-by-step playbook to launch one small, opt-in AI feature that lowers surprise and harm: one-line value claim, a visible failure example, limited data use, and a short pilot.
Describes 'adversarial explanation attacks'—how LLM explanation framing keeps users trusting incorrect outputs. Reports a 205‑participant study and gives pragmatic builder controls.
Gemma Scope 2 makes open interpretability tools and reproducible trace exports available across the Gemma 3 family, enabling safety teams to probe and audit complex LLM behavior.