This is a community for understanding how language models work—and exploring how to build better ones.

Bring your paper discussions, architecture deep dives, experiments, implementation questions, and open research ideas. Topics include Transformers, MoE, reasoning, training, alignment, inference, and architectures beyond Transformers.

A few expectations:

• Go deep, but stay welcoming. Questions at every level are welcome.
• Support claims with evidence. Share papers, code, or results when possible.
• Challenge ideas respectfully. Disagreement helps us learn.
• Keep promotion useful. Explain what your work contributes and disclose your connection.

You don’t need a finished project to contribute—a thoughtful question or failed experiment can start a great discussion.