Devjeet Roy
38 posts

Devjeet Roy
@devjeetrr
PhD student at Washington State University

Today, we’re releasing Continual Learning Bench 1.0: the first, realistic benchmark for measuring how AI systems can improve in online settings. Benchmarks today assume models are stateless. Each example is independent, and once a system finishes a task, it moves on as if nothing happened. But deployed AI systems should learn from experience. We tested 10+ frontier systems against novel, expert-validated tasks and find there’s still plenty of headroom for learning. (1/n)








Often, a bug I have had to fix has been tied directly to overly verbose or defensive code from an AI agent that has eroded my project as the specs changed. Why isn't there an eval for this? There is now. Very excited to announce SlopCodeBench scbench.ai
















