Story
Lean proved this program correct; then I found a bug
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Overview
AI agents are increasingly effective at identifying vulnerabilities in large software systems. Anthropic chose not to release the Mythos model due to concerns over its potential to discover dangerous security flaws.
Summary from kirancodes.me.
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Community reactions
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Hacker News · kirancodes.me
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
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Based on 5 sampled comments from this thread. Analyzed 2026-04-14.
- Praise: The article highlights the importance of formal verification, which can prove that a program conforms to a specification, enhancing trust in software correctness.
- Praise: Finding bugs in the Lean runtime, even if not in the proven code, underscores the necessity of rigorous verification methods in software development.
- Praise: The discussion around specification gaps emphasizes the complexity of ensuring that formal proofs align with intended program behavior, which is a critical aspect of software reliability.
- Concern: The title of the article is misleading, as it suggests a bug was found in the proven code when it was actually in the Lean runtime, which could undermine trust in formal verification.
- Concern: Concerns about the reliability of formal verification systems themselves raise questions about the overall trustworthiness of software that relies on these methods.
- Concern: The article's framing may contribute to misconceptions about the capabilities of formal verification, potentially leading to overconfidence in its effectiveness.