In its open letter, OpenAI says it will "continue to strengthen" its law enforcement referral protocol. The company said it's working with mental health experts to better assess difficult cases and when conversations cross the line into being a risk.
GLU/SwiGLU 在实际中是门控形式（two linear branches），是向量上的逐元素操作；为了在一维上可视化，我用简化的标量形式来画图 —— 把两条分支都用相同的输入值（即把 a=x, b=x），因此 GLU(x)=x∗sigmoid(x) SwiGLU(x)=x∗SiLU(x) 。这能直观展示门控机制的形状差异。
，这一点在服务器推荐中也有详细论述
Not all streaming workloads involve I/O. When your source is in-memory and your transforms are pure functions, async machinery adds overhead without benefit — you're paying for coordination of "waiting" that adds no benefit.
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.
Please, please, please stop using passkeys for encrypting user dataFebruary 27, 2026·670 words·4 mins