I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
04:43, 28 февраля 2026Силовые структуры
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“We have lots of developers and companies eager to run services powered by OpenAI models on AWS,” said Amazon CEO Andy Jassy in a statement, “and our unique collaboration with OpenAI to provide stateful runtime environments will change what’s possible for customers building AI apps and agents.”
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