Runtime Learning Isn't Enough; Structural Write-Back Is Key
RichardSSutton · x · 2026-07-14
The author shares an observation on the difference between current AI and more general intelligence:
- Existing AI typically learns capabilities before deployment; general intelligence must continuously create, repair, and reorganize its capabilities on the fly.
- The key question isn't just "how to keep learning at runtime," but in what form experiences are retained: weights, predictions, policies, or reusable structures, constraints, failure modes, and verified paths.
- The conclusion: runtime learning might just be the beginning. What truly matters could be "runtime structural write-back," which converts experience into long-term intelligence.
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