Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

A strong focus on memory safety and speed accounts for Rust’s growing popularity, while competitors C and C++ continue to ...

Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

Politeness isn't even the weirdest thing about the language.

AI coding benchmark MirrorCode published its full results June 26, showing Claude Opus 4.7 autonomously rebuilt a 60,000-line interpreter and scored 56% overall — completing tasks that take human ...

The suite started with my original implementation in Crystal. AI tools assisted in translating it to other languages. Throughout this process, I reviewed and edited the implementation for semantic ...

Researchers at Mass General Brigham recently developed BRIDGE, a multilingual benchmark that evaluates how well large language models (LLMs) understand clinical patient care text, including language ...

Benchmark Senior Living is emphasizing personal connection and supporting more nonpharmacological interventions in memory care through new programming and engagement. The Waltham, Massachusetts-based ...

While much attention regarding AI has been focused on developers using it to code, the impact of AI on software development goes far beyond code creation tools. Armando Solar-Lezama, Distinguished ...

A massive new analysis of over 1,700 languages shows that some long-debated “universal” grammar rules are actually real. By using cutting-edge evolutionary methods, researchers found that languages ...

One-off tests don’t measure AI’s true impact. We’re better off shifting to more human-centered, context-specific methods. For decades, artificial intelligence has been evaluated through the question ...