Why massive context windows could unlock true AI continual learning
Epoch AI just outlined why ultra-long context inference is far more than an easy way to ingest giant PDFs: it could be the breakthrough needed for continual learning and reinforcement learning scaling. Expanding context to millions or billions of tokens allows agents to retain months of work experience and self-correct across complex tasks. Why it matters: while wall-clock research slowdowns and high serving costs remain real bottlenecks, rapid context scaling could fundamentally alter agent autonomy.