remywang: AI-generated code still needs human understanding
What happened
On November 2, Hacker News' front page picked up remywang's article on AI-generated code. Starting from the Hilbert program and the impossibility results of Gödel and Turing, the author links AI agents equipped with proof assistants such as Lean to the ideal of automated proof, and argues that computer scientists should not give up reading and understanding code even when AI-generated code passes tests or formal verification. Drawing on mathematicians who simplify overlong AI-generated proofs, the article proposes that computing keep code within human comprehension through abstraction, refactoring, narrowing scope and higher-level languages.
Written by AI from the coverage · updated 54 minutes ago
Coverage
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- Hacker News front pageWir müssen wissen – wir werden wissen
remywang主张，即使AI生成的代码通过测试或形式化验证，计算机科学家也不应放弃阅读和理解代码。文章从Hilbert计划及Gödel、Turing的不可能性结果谈起，将配备Lean等证明助手的AI智能体与自动证明的理想联系起来。数学家会简化过长的AI生成证明，计算领域也应通过抽象、重构、缩小范围和采用更高层语言，让代码保持在人能理解的范围内。
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