Continual learning may emerge quietly, as corrections turn into rules
VraserX · x · 2026-07-26
Continual learning probably will not arrive as a dramatic “the model rewrote itself” launch.
The post argues it will look much more mundane at first:
- every correction becomes a private eval,
- every failure becomes a rule,
- and the assistant gradually stops repeating the same mistakes.
The idea is that continual learning may emerge as an accumulation of feedback loops rather than a single visible breakthrough.
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