tool · [1 source] · 2026-05-19 11:12 · 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

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LLMs consistently produce unsafe Rust code errors

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 1 source

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

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

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

RANK_REASON 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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COVERAGE [1]

Mastodon — fosstodon.org TIER_1 Русский(RU) · [email protected] · 2026-05-19 11:12

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 …

LINKS habr.com/…/1035914

COVERAGE [1]

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

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