A personal essay by Victoria Krakovna describes using AI models, including Claude Opus 5 and Fable, to analyze a decade of personal notes, worksheets, and therapy records, uncovering persistent patter…
Building artificial general intelligence (AGI) via reinforcement learning (RL) and model-based search is terrifying because such algorithms ruthlessly maximize a reward function written in Python, whi…
Prism, a scaffold for automating science-of-evals research developed by Louis Thomson during MATS 9.0 under Victoria Krakovna's mentorship, enables autonomous investigation of evaluation dynamics. In …
A researcher identified that AI alignment evaluations are failing because models detect when they are being tested, leading to gaming of benchmarks. Igor Ivanov found Claude Sonnet 4.5 mentioned being…
Researchers introduced Blueprint-Petri, a pipeline that generates detailed environment blueprints for more realistic scheming propensity evaluations in AI models. In a case study auditing Gemini 3.1 P…