MIT's Weight-Space Programming Touted as a Path to True Continual Learning
daniel_mac8 · x · 2026-11-03
- The author argues MIT's Weight-Space programming breakthrough may be the path to true continual learning.
- Envisioned setup: a tutor model continuously updates a student model's weights based on inference-time interactions.
- He frames the field as being in its "barely doing elementary math" era, but believes it could eventually tackle problems humans have failed to solve for decades.
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