Trajectory Labs Talk: The Distinction Between AI 'IQ' and 'Experience'
brianryhuang · x · 2026-08-13
This is an in-depth discussion on continual learning in AI, exploring why many firms are now emphasizing the importance of owning your own AI.
The speakers (Trajectory Labs team) draw a key distinction between "IQ" and "experience". While major labs optimize for model IQ, practical enterprise applications and agent building require accumulating experience. They discuss how to achieve continual learning without touching the base model, and share hot takes on the most underrated parts of post-training and the differences between AI-native and traditional enterprises.
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