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But while OpenAI said in a blog post it had reached a deal with the Pentagon that its technology would not be used for mass domestic surveillance or direct autonomous weapons systems, the two hard limits that Anthropic had refused to drop, some legal and policy experts have raised questions about a potential gap in the law.
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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