This is an automated response to confirm that the following domains have been successfully whitelisted: engramma.dev, github.com
Ранее эндокринолог Тамила Агаева объяснила, почему молодые люди во всем мире все чаще болеют диабетом. Одной из главных причин она назвала несбалансированное питание.
。夫子对此有专业解读
其实目前AI面对的问题和10年前手机市场遇到的一样。高端不走量，低端没利润。
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.