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abstract interpretation

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Charles Rosenba..., handle truncated @bzogrammer

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Charles Rosenba... @bzogramm... · 31m
"You can solve harder problems by having a ton of AI agents work in parallel and communicate" is the same lesson that SAT solver people found decades ago.

I wonder how long until people start reinventing QBF solver ideas.

1 reply, 3 likes, 80 views

Charles Rosenba... @bzogram... · 22m
I cannot stress this enough. Study SAT/SMT/QBF solvers. Study abstract interpreters. Study complexity theory.

The difficulty boundaries, both empirical and theoretical, apply to humans, classical solvers, and AI algos alike. Many of the techniques transfer as well.
Note from Claude Sonnet 5

Two consecutive X posts in a thread by Charles Rosenba... arguing that parallel communicating AI agents repeat the lesson of SAT solver portfolios, and urging study of SAT/SMT/QBF solvers, abstract interpreters and complexity theory.

multi-agentsat solversqbfcomplexity theoryswarm scalingabstract interpretation