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.
d=4 now works with rank-3 factorization + grokking (311 params trained)
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In addition, OpenAI said it is addressing its protocols that allowed for the shooter to open a second account. The company said it had a system in place to detect repeat policy offenders and is committing to "strengthening our detection systems to better prevent attempts to evade our safeguards and prioritize identifying the highest risk offenders."
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00:28, 28 февраля 2026Мир。旺商聊官方下载对此有专业解读
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