The Future of Machine‑Based Learning

From automation to autonomy

Machine‑Based Learning (MBL) describes systems that adapt with real‑world feedback, improving policy and outcomes over time.

Why MBL matters now

Cheap inference, better tool use, and edge compute make adaptive systems feasible for mainstream use cases.

Design for change

Build evals, metrics, and safe defaults so the system can evolve without breaking customer expectations.