MIT Computer Science and Artificial Intelligence Laboratory

Stories

MIT and UBC unveil WorldParticle, one AI model for many physical materials

Home institution of several WorldParticle authors

For decades, simulating a physical process has meant building a dedicated program: one solver for water, another for cloth, another for how a protein folds. On Nov. 9, researchers at MIT and the University of British Columbia showed a single neural network that handles all of them.

Updated 2 days ago

MIT researchers use GPT-6 Astra to edit another model's weights directly

New Capabilities

Published the Weight-Space Programming results

On November 2, researchers at MIT's Computer Science and Artificial Intelligence Laboratory reported that OpenAI's GPT-6 Astra edited the internal weights of Qwen3.5-0.8B without training or gradient descent. The edit changed 131,072 of the model's roughly 800 million parameters, or 0.016%, and raised its score on the MATH-500 benchmark from 7.9% to 48.1%.

Updated Nov 3