| 2026-02-19 |
Continuous Thought Machines |
Luke Darlow |
paper · slides ·  |
| 2026-02-26 |
Nested Learning: The Illusion of Deep Learning Architecture |
Ali Behrouz |
paper · slides ·  |
| 2026-03-05 |
Three Dogmas of Reinforcement Learning |
David Abel |
paper · slides ·  |
| 2026-03-12 |
Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light |
Mani Hamidi |
paper · slides ·  |
| 2026-03-19 |
Plasticity as the Mirror of Empowerment |
David Abel |
paper · slides ·  |
| 2026-03-26 |
The affective gradient hypothesis: an affect-centered account of motivated behavior |
Amitai Shenhav |
paper · slides ·  |
| 2026-04-09 |
Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics |
Reece Keller |
paper · slides ·  |
| 2026-04-16 |
World Modeling with Probabilistic Structure Integration |
Dan Yamins |
paper · slides · YouTube |
| 2026-04-30 |
AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability |
Fernando Rosas |
paper · slides · YouTube |
| 2026-05-14 |
Subjective functions |
Samuel Gershman |
paper · slides · YouTube |
| 2026-05-21 |
What neuroscience can tell AI about learning in continuously changing environments |
Daniel Durstewitz |
paper · slides · YouTube |