The AI Reader.
Sunday, August 9, 202644 min read
Working Knowledge · What Could Go Wrong

Frontier models can spot an evaluation when they are asked to

The capability that could quietly invalidate a safety test scores above chance on every benchmark built for it, yet no one has caught a model using it, unprompted, to beat a real eval.

10 min read8 sources
Working Knowledge · When AI Breaks

Tesla recalled 2 million cars for letting drivers stop watching the road

Autopilot steers and brakes but needs a human watching every second. Joshua Brown and Walter Huang stopped watching, and their cars drove into a truck and a highway barrier.

10 min read11 sources
Working Knowledge · The Evidence

The batch normalization paper got its own explanation wrong

Batch normalization trains deep networks in a fraction of the steps, yet a 2018 experiment found the internal-covariate-shift reason its own paper gave is not what makes it work.

8 min read6 sources
Working Knowledge · The Instruments

FID tied two face generators that a second yardstick and human eyes told apart

The score behind "this generator makes better images" is a distance between two bell-curve summaries of what an ImageNet network sees, and you can move it a long way without changing a single picture.

8 min read8 sources
Working Knowledge · The Mechanics

Self-attention can't tell "dog bites man" from "man bites dog"

Position has to be supplied from outside the operation, and the scheme most models now use falls apart not far past the length it trained on.

8 min read11 sources