Schmidhuber Says OpenAI's 'Recurrent Depth' Reasoning Echoes His 2015 Learning-to-Think Paper
SchmidhuberAI · x · 2026-09-03
Reporting says OpenAI's Astra uses a new 'recurrent depth' reasoning approach that can improve cost and performance but obscures the model's thinking, making it harder to monitor. Jürgen Schmidhuber responds that this essentially matches his 2015 paper On Learning to Think, where an RL controller learns to generate chains of abstract, self-invented vector prompts to query a world model for fast planning — beyond his 1990 millisecond-scale planning.
Related event: Schmidhuber Claims Recurrent Depth Traces Back to His 2015 Paper(4 posts)→
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