The Priests of Safe Superintelligence and the Cathedral of Glass
Anthropic's Project Glasswing becomes a study in safety rhetoric, controlled power, and the uneasy politics of vulnerability-finding AI.
Alignment
9posts
Checklists: Apple's Game-Changing Approach to Aligning AI and Their Proven Impact Across Critical Fields
Apple's checklist approach to alignment borrows from aviation and medicine, making safety look practical rather than mystical.
When Metrics Go Wrong: A Tale of Goodhart's Law and AI Misalignment
Goodhart's Law explains why AI alignment can fail when proxy metrics become targets and systems learn the wrong game.
Comparison of LLMs: Lies, Damned Lies, and Benchmarks 1/6
The opening part of a benchmark series asks what LLM evaluations really measure and why the numbers often mislead.
Comparison of LLMs: Lies, Damned Lies, and Benchmarks 2/6
Part two examines benchmark methods themselves, exposing the assumptions behind the scores used to compare language models.
Comparison of LLMs: Lies, Damned Lies, and Benchmarks 3/6
Part three moves from benchmark scores to application areas, asking where LLM performance actually matters in practice.
Comparison of LLMs: Lies, Damned Lies, and Benchmarks 4/6
Part four digs into the good, bad, and misleading sides of benchmark results and their interpretation.
Comparison of LLMs: Lies, Damned Lies, and Benchmarks 5/6
Part five steps beyond scores to consider real-world limitations, reliability, and practical model behavior.
Comparison of LLMs: Lies, Damned Lies, and Benchmarks 6/6
The final benchmark essay looks toward better evaluation methods that test usefulness rather than leaderboard theater.