When vulnerability discovery speeds up, response needs a queue, not panic
A practical playbook for turning faster findings into verified exposure, safer patches, and tested detections.
2026-11-09 · 5 min · 5 sources
Independent synthesis of recent videos, podcasts, blogs and posts. Three new pieces a week, subject to evidence and quality checks.
A practical playbook for turning faster findings into verified exposure, safer patches, and tested detections.
2026-11-09 · 5 min · 5 sources
New reporting points to faster model development, but the strongest claims still rest on uncertain and partly redacted evidence.
2026-11-09 · 5 min · 5 sources
Anthropic's latest evaluations show why persistent memory must be tested, corrected, and kept small enough to trust.
2026-11-09 · 5 min · 3 sources
The updated guidance treats prompt injection as an expected failure and puts stronger controls around what AI systems can do next.
2026-11-02 · 5 min · 3 sources
Three recent announcements show a strategy of expanding AI use while assigning models part of the work of detecting their own risks.
2026-11-02 · 4 min · 3 sources
Dylan Hadfield-Menell's proposal is a useful research direction, not proof that later safety training has failed.
2026-10-26 · 5 min · 4 sources
AI-assisted discovery matters only when maintainers, vendors, and users complete the path from finding to fix.
2026-10-26 · 4 min · 5 sources
The S-1 moves safety promises into public-company disclosure, but disclosure is not the same as proof.
2026-10-26 · 5 min · 5 sources
Anthropic's new arrangement and METR's assessment proposal give buyers a way to ask what an outside review actually covers.
2026-10-19 · 5 min · 3 sources
A reported reduction in reasoning extraction points to practical tests for saved sessions, model switches, and recovery paths.
2026-10-19 · 5 min · 3 sources
OpenAI and a close outside reader agree on layered controls; the unresolved question is who can test the evidence and stop a run.
2026-10-12 · 6 min · 4 sources
The useful part is not one more container: it is a common place to state what generated code may reach, then test the result.
2026-10-12 · 5 min · 5 sources
A patched research case and current Microsoft guidance point to a concrete review: check the identity that actually executes the query.
2026-10-05 · 5 min · 4 sources
Two new proposals shift attention from a clean test result to access, evidence and the ability to find a counterexample.
2026-10-05 · 4 min · 2 sources
A deployment playbook for limiting collusion, hidden communication and shared failure across AI agents.
2026-10-02 · 6 min · 8 sources
Separate network access, unsafe instructions and response delays before deciding how much authority to give an AI agent.
2026-09-30 · 6 min · 5 sources
Three recent accounts point to a better executive test: measure how AI changes the R&D system, not just how models score.
2026-09-28 · 6 min · 9 sources
A CISO's warning about filter-first defenses becomes more useful when tested against agent attack data: protect the action path, not just the text entering the model.
2026-09-27 · 4 min · 4 sources