LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Qwen 3.6 27B actually gave me better answers in basically every test.

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...

These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

Companies are shifting from running everything on the most powerful AI model to matching each task to the right one, a practice called model routing. The pressure for efficiency comes as large ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

Role Model is fully back. The musician has announced his third LP Chuck Timely & the Hourglass, the anticipated follow-up to his breakout album Kansas Anymore. The new album will arrive August 7, via ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Even as a top AI company, OpenAI is projected to lose $14 billion dollars in 2026. It has ...