DE
Decoded
Summary
Decoded covering AI Recursion, Hierarchical Reasoning Models (HRM), Tiny Recursive Models (TRM), and Recurrent Neural Networks (RNN). Notable guests include Francois Chauvard (Visiting Partner, YC).
1episodes
22total claims
12topics covered
1 episodes
Beyond Bigger Models: Recursion As The Next Scaling Law In AI
›May 1, 2026
Standard feed-forward transformers (LLMs) have inherent architectural limitations for complex, multi-step reasoning, as they cannot perform algorithms requiring more sequential steps than the model...
AI RecursionHierarchical Reasoning Models (HRM)Tiny Recursive Models (TRM)Recurrent Neural Networks (RNN)+11 more