MIT's weight-space programming seen as a breakthrough path to true continual learning

daniel_mac8 · x · 2026-11-03

danielmac8 highlights MIT's weight-space programming as a possible path to true continual learning: a tutor model continuously updates a student model's weights based on inference-time interactions. The field is in its 'barely elementary math' era but could progress dramatically.

Related event: MIT's Weight-Space Programming Hailed as Potential Breakthrough for Continual Learning(2 posts)→

Original post →

More from Research

Research channel →