Writing
Rough ideas in physics, computation, AI, and intelligence. If I had infinite time I would spend a lot of it expanding on these.
- Computable systems and learning - 09/20/2025
- A computational view on the asymmetry of time - 07/25/2025
- Notes on optimizing in non-differentiable worlds (III) - 06/09/2025
- Notes on optimizing in non-differentiable worlds (II) - 06/04/2025
- Notes on optimizing in non-differentiable worlds (I) - 05/30/2025
- The case for language-native world models - 05/18/2025
- Formalization of minimal latent representation learning - 05/10/2025
- Intelligence as compressed search - 05/09/2025
- Feedback-efficient intelligence addendum - 05/03/2025
- Formalization of trajectory space search - 05/02/2025
- Formalization of feedback-efficient intelligence - 04/30/2025
- Recursive superintelligence is constrained by drift - 04/21/2025
- Reasoning vs thinking - 04/09/2025
- Inference scaling for stochastic diffusion - 04/07/2025
- Diffusion and vectorization - 01/02/2025
- When evolution stalls, information transfer must scale - 12/28/2024