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Intelligent-for-purpose

As explained in Sutskever's List

A task-relative attribution of intelligence based on reliable performance in a specified domain rather than on consciousness or general personhood.

Intelligent-for-purpose describes reliable performance in a specified task, not an inner mind. A language model that reliably beats other models on a benchmark can be called intelligent-for-purpose; the claim should stay scoped to that performance. section 9.3.7

The label does not establish consciousness, agency, or moral standing. It keeps claims tied to demonstrable work and leaves responsibility with people. section 9.3.7

How Sutskever's List covers it

How deep it goes
Defines the term and distinguishes performance from consciousness, agency, and moral standing.
Examples
Compares a language model’s benchmark performance with that of other models.
What you can do after
Evaluate AI intelligence claims by checking whether they describe reliable performance on a specified task.
How it connects
Connects benchmark performance with consciousness, agency, moral standing, and responsibility.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Sutskever's List. The section links point to the parts of the book it draws on.