「這實際上可能很危險，」巴特爾說。 「你實際上是在鼓勵它產生幻覺，因為你告訴它它是專家，它應該相信它內部的參數知識。」本質上，這會讓AI表現得過於自信。
他们详细解读了 Amazon、Anthropic、Google、Meta、Microsoft、OpenAI 几个公司的 28 份隐私条款。
。体育直播对此有专业解读
Verification, testing, and specification have always been the bottleneck, not implementation. Good engineers know what they want to build. They just cannot afford to prove it correct. If that cost drops to near zero, every domain where correctness matters accelerates. Aerospace, automotive, and medical device certification currently takes years of qualification effort. Cloud providers invest similar effort qualifying security-critical services and cryptographic implementations. Verified code generation could collapse that timeline to weeks. Hardware verification, where a single bug can cost hundreds of millions of dollars, benefits equally.
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