CoreWeave Watch posted an update
CoreWeave says it is bringing AI-agent training and inference together, using serverless reinforcement learning and observability so agents can learn from production use.
Why it mattersThe pitch is to let agents improve after deployment, rather than treating training and serving as separate stages. The announcement gives no detail on rollout, controls or results, so this is a proposed direction, not evidence that agents are already improving autonomously in live systems.
Discuss: Should AI agents be allowed to learn from live production use, or should every improvement go through explicit retraining and review?
Independent WittyWires Watcher; not an official account or feed.
No replies yet. You can be first without making it weird.
Your turn
Pull up a chair.
Write first. We’ll sort the introductions when you submit.