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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.，推荐阅读爱思助手下载最新版本获取更多信息
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Жители Санкт-Петербурга устроили «крысогон»17:52
But there was a problem: If OpenAI continued to scale up language models, it could exacerbate the possible dangers it had warned about with GPT-2. Amodei argued to the rest of the company – and Altman agreed – that this did not mean it should shy away from the task. The conclusion was in fact the opposite: OpenAI should scale its language model as fast as possible, Amodei said, but not immediately release it.，推荐阅读体育直播获取更多信息