Раскрыты подробности похищения ребенка в Смоленске09:27
Dorsey announced the layoffs on X, citing AI as the main reason behind the move.
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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.
Challenge: Build the smallest transformer that can add two 10-digit numbers with = 99% accuracy on a held-out 10K test set.
Израиль нанес удар по Ирану09:28