The AI Reader.
Saturday, July 18, 202634 min read
Working Knowledge · The Instruments

The lab that ships an MMLU score rarely says how it was measured

GPT-4's headline 86.4% on MMLU shipped with its five-shot count and little else — not the prompt template, not the scoring rule, not the harness that turned 57 subjects of multiple choice into a single number.

9 min read10 sources
Working Knowledge · The Mechanics

An attention head is a weighted average that computes its own weights

Nine dot products across three tokens compute one attention head's output, and the same nine show why long context costs what it does and why the softmax weights are not, by themselves, an explanation.

9 min read13 sources
Working Knowledge · The Evidence

Chinchilla beat a model four times its size on the same compute

The paper's tables buy a training-compute-optimal ratio near twenty tokens per parameter, evidenced three ways, but not the settled law the field now quotes or the inference cost that makes everyone train past it.

8 min read8 sources
the-levers

The people who can halt a dangerous model launch all work for the lab shipping it

Anthropic, OpenAI, and Google DeepMind each publish a rule for pausing a dangerous model, and in all three the final call belongs to the CEO or an officer the CEO appoints.

8 min read8 sources