Moravec's Paradox
The observation that tasks humans find hard, like formal reasoning, are comparatively easy for machines, while tasks we do without thinking, like perception and movement, are extremely difficult.
When not to use it
- As a precise law rather than a pattern, since it partly reflects which tasks researchers find interesting.
- As a mind-versus-body distinction, which no longer matches where current systems fail.
- As a reason to assume any specific task is safe from automation, since the frontier is jagged and cannot be read off intuition.
Reach for something else instead
- The jagged frontier describes the same phenomenon empirically and without the evolutionary explanation.
- Task-property analysis (specification, verification, data density, error tolerance) predicts capability more precisely than human difficulty does.
- Distribution shift explains a related but distinct failure, where performance drops on inputs unlike the training data.
Read more on the blog
- What can AI do, and what can't it? A predictive mapAny list of what AI can do is out of date before you finish reading it. What does not go out of date is the set of task properties that predict whether AI will be good at something, and they have almost nothing to do with how hard the task feels to a person.
- What is the Turing test? And why it stopped matteringTuring never proposed the imitation game as a definition of thinking. He proposed it to replace a question he considered meaningless. Machines have now passed versions of it, sometimes judged more human than actual humans, and the striking thing is how little that settled.
Sources & further reading
- Moravec, H. (1988), Mind Children — the original formulation of the observation.
- Dell'Acqua et al. (2023), Navigating the Jagged Technological Frontier — the modern empirical form of uneven capability.
- Brooks, R. (1990), Elephants Don't Play Chess — a contemporaneous argument for the primacy of perception and embodiment.
Primary sources, listed so you can check the claims on this page rather than take them on trust.
Where people go wrong
- Concluding that physical tasks are safe and cognitive tasks are not, which the modern evidence contradicts.
- Treating the paradox as proof that machines will never manage perception, when the claim is about relative difficulty.
- Using it to predict a specific task's outcome instead of testing that task directly.