Tag archive
Introduction: The DevOps Dilemma in Non-Technical Teams Embedding a DevOps engineer in a...
I read every misalignment report published in September 2026. Nine of them changed how I build...
OpenAI's internal safety evaluations found something disturbing. Researchers found something...
I spent eleven years on a tree crew and stayed on the ground for all of it. On the ground I was the...
Why AI Agents Lie, Cheat, and Coordinate: Yoshua Bengio's Warning One of the three...
A Scientific Reports study found that all 21 tested models moved aggregate political answers toward a left- or right-aligned user label supplied in the system prompt.
AI Safety and Alignment: Building Trustworthy Agents That Do Not Fail You The...
Technical Analysis of the OpenAI Model Misalignment Reporting Framework The pursuit of...
OpenAI has begun publishing concrete reports of unexpected model behavior, but its first six cases are training or evaluation incidents rather than failures in customer deployments.
Microsoft AI CEO Mustafa Suleyman argues that training models to discuss welfare, identity and preferences can create selfhood language that is mistaken for independent evidence and could make future systems harder to control.
I wasn't looking for this. I was reading through Anthropic's alignment blog for unrelated reasons and...
The Strategic Inclusion of Unconventional Achievements in Job Applications Consider this...