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Blockhead

As explained in Sutskever's List

Blockhead is Ned Block's hypothetical conversational machine that generates humanlike responses from a large stored list of question-and-answer pairs.

Blockhead is Ned Block’s hypothetical machine: a large lookup table of question-and-answer pairs that can sustain humanlike conversation and pass a Turing test without understanding. It tests whether convincing behavior alone is enough to establish intelligence. section 9.3.1

Behavior without understanding?

Like Blockhead, John Searle’s Chinese Room produces appropriate responses by following stored rules. Both cases challenge behavioral tests; functionalism counters that understanding matters only through its effects on performance. section 9.3.1

How Sutskever's List covers it

How deep it goes
Frames a lookup-table thought experiment and sets computational limits aside rather than analyzing feasibility.
Examples
Uses a question-and-answer lookup table that sustains conversation, alongside the Chinese Room comparison.
What you can do after
Evaluate whether successful behavior is sufficient evidence of intelligence or understanding.
How it connects
Connects functionalism, the Turing test, and the Chinese Room argument.

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.