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Русский(RU) Я дал LLM писать unsafe Rust полгода. Miri плакал Полгода я давал LLM писать unsafe Rust в боевых проектах и разбирал каждый блок под miri и санитайзерами. Кате

LLMs consistently produce unsafe Rust code errors

A developer spent six months having large language models write unsafe Rust code for production projects. The models consistently made specific types of errors, including issues with aliasing, provenance, manual memory management, and concurrency in FFI callbacks. Each category of error was documented with minimal examples and provided fixes. AI

影响 Investigating LLM code generation quality reveals persistent safety vulnerabilities in complex programming languages.

排序理由 The cluster describes an experiment and analysis of LLM-generated code, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]

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LLMs consistently produce unsafe Rust code errors

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  1. Mastodon — fosstodon.org TIER_1 Русский(RU) · [email protected] ·

    I let LLMs write unsafe Rust for six months. Miri cried. For six months, I let LLMs write unsafe Rust in production projects and analyzed every block under Miri and sanitizers. Kate

    Я дал LLM писать unsafe Rust полгода. Miri плакал Полгода я давал LLM писать unsafe Rust в боевых проектах и разбирал каждый блок под miri и санитайзерами. Категории ошибок, которые модели делают стабильно: aliasing, провенанс, layout в alloc/dealloc, забытый ManuallyDrop, гонки …