A benchmark is a sensor

·LessWrong··

The simple mental pictureA simple mental picture we have for an AI capability benchmark is to think of it as a sensor with a certain sensitivity within a certain range of capabilities. The sensitivity of a benchmark, i.e. it's ability to distinguish the capability of different models, is given by a curve like this: The curve starts high (low sensitivity, high uncertainty), since for models with low capability all the tasks in the benchmark are too hard, and the benchmark can't distinguish betwee...

Read full article →

Related Articles

An OpenAI model has disproved a central conjecture in discrete geometry
tedsanders · Hacker News · 20h ago
GitHub confirms breach of 3,800 repos via malicious VSCode extension
Timofeibu · Hacker News · 1d ago
Show HN: Rmux – A programmable terminal multiplexer with a Playwright-style SDK
shideneyu · Hacker News · 6h ago
Incident Report: May 19, 2026 – GCP Account Suspension
0xedb · Hacker News · 1d ago
Not alive, but not dead: disembodied human brains used for drug testing
Timofeibu · Hacker News · 19h ago