Раскрыты подробности о договорных матчах в российском футболе18:01
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.
，更多细节参见搜狗输入法2026
为什么 Anthropic 现在公开说?
这个判断在整个VC圈子里正在成为共识。Bain Capital Ventures的合伙人说了一句很有意思的话：投资物理世界的AI改造，过去十年一直是"大家觉得有道理但没人真的信"，到了2025年突然变成了所有人都在谈的事。数据印证了这个转变——2025年机器人领域的VC投资同比增长69%，达到222亿美元，预计2026年还会再翻一倍。