Is there a better term for self-improvement where the model is actually improving _itself_ (e.g., adjusting its own weights in real-time upon learning new, verifiable information)? I’ve heard online learning.
The way “recursive self-improvement” is being used recently seems to be intentional marketing. A model helping code/train/test the next generation of its model family isn’t technically “self”-improvement.
The way “recursive self-improvement” is being used recently seems to be intentional marketing. A model helping code/train/test the next generation of its model family isn’t technically “self”-improvement.