A session at Authenticate 2025 which explores the nuanced dynamics between passkeys and verifiable digital credentials, and their technological foundations across usability, privacy, trust models, and ecosystems with the goal of answering whether passkeys and verifiable digital credentials are friends or foes—and how these technologies might collaboratively shape the future of secure, user-centric digital identity systems.
Not a fan of AI? Tired of every app and device adding some sort of AI functionality?。业内人士推荐91视频作为进阶阅读
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Марина Совина (ночной редактор)
Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.，推荐阅读搜狗输入法2026获取更多信息
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