Treat an LLM as the step function of a Turing machine. Everything else falls out: state lives on disk, the program is markdown, runs are resumable and observable, and "agents" are just user-authored ...

The loop takes agentic AI a step further, by authorizing a swarm of agents to work continuously in the background, endlessly.

Studying the epic journey of the iconic jumping plumber can lead to new insights in theoretical computer science—and may help ...

Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss ...

AML — Abstractive Machine Learning AML is a machine learning system that learns abstractions (functions) rather than parameters. Instead of fitting weights in a fixed-topology network, AML searches ...

In the last twenty-five years, a new foundational perspective has been emerging in cognitive sciences under the heading embodied cognition. The core of embodied cognition can be expressed by the ...