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News Apr 21 2025

Making AI-Generated Code More Accurate in Any Language

MIT News An international team of researchers developed a framework to improve AI-generated code. The researchers engineered knowledge that an expert would have into a large language model to guide it to the most promising outputs that adhere to the rules of the relevant programming language. The framework assigns a weight to each output based […]

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News Mar 18 2025

High-Performance Computing, with Much Less Code

MIT News The new Exo 2 programming language, developed by researchers at the Massachusetts Institute of Technology, is a user-schedulable language in which programmers write “schedules” that control how a compiler generates code. The researchers created a scheduling library with about 2,000 lines of code in Exo 2, consolidating scheduling efforts across more than 80 […]

News Nov 7 2024

Despite its Impressive Output, Generative AI Doesn’t Have a Coherent Understanding of the World

Researchers show that even the best-performing large language models don’t form a true model of the world and its rules, and can thus fail unexpectedly on similar tasks.

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