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 ...
7don MSN
The AI world is getting ‘loopy’
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 sees it. A paper posted today on arXiv identifies this readout blind spot, ...
Allen Institute and University of Washington postdoctoral researcher Denis Turcu uses computational models to study how the ...
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 ...
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