Codex feature request: on-the-fly floating widgets to monitor training loss
Angaisb_ · x · 2026-10-13
User Angaisb proposed a Codex feature: floating widgets generated on the fly so key info stays in view — e.g. a widget showing training loss in real time while continuing to work on the experiment.
- The screenshot shows Codex (GPT-6 Astra Max) organizing fixed-seed sample grids across checkpoints and adding live train/validation loss curves to spot overfitting or memorization.
- It hints at a new direction for agent coding workflows: freeing monitoring info from the chat stream during long-running tasks.
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