What happens after we solve continual learning?

I recently gave this keynote at CoLLAS 2025.

The premise is simple: Our AI ecosystem assumes static models. When models start continually updating, much of AI evaluation and alignment goes out the window.

These open challenges have deep connections to core ML/CL, which reveals a great opportunity!


Slides below // Tweet summary.