You run an AI research lab. Manage compute, train models, balance overfitting vs underfitting, deploy to users.

I'm a professor in AI and wanted to make model training feel intuitive for people without a technical background. The loss curve graph, the overfitting trap, the compute/quality tradeoff - all mechanics grounded in how training actually works.

Phase 1 is live (~20 min). AI safety mechanics will come in Phase 2 with rival labs and regulatory pressure.

Built with React + Vite.

Curious what HN thinks, especially anyone in AI who can tell me what I got wrong.