Conclusion: The 0.016% weight edit fixed "premature termination due to thinking loops," and even unedited models can reach an ...

By injecting “thoughts” directly into large language models, researchers are trying to map out AI’s capacity for ...

Modern space exploration hasn't quite reached "Star Trek" levels of boldly going where no one has gone before. But if, like ...

Virginia Tech researchers combined hammer-induced vibrations, laser measurements and a compact neural network to reliably ...

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...

Weight-space programming explores how an agent can inspect, construct, or modify neural network parameters to implement a specified behavior. This collection connects direct LLM-driven experiments to ...

Astra identifies game policies from raw weight matrices and fixes reasoning loops in Qwen3.5-0.8B by editing 0.016% of parameters, lifting MATH-500 scores from 7.9% to 48.1% without training loops.

Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights' - ...

Brain self-organization, not genetic blueprinting, builds the brain's 100 trillion synaptic connections. MIT neuroscientist Ila Fiete argues in a Perspectives essay for The Transmitter that genes ...

A new scoping review of 73 studies argues that explanations in AI-driven 5G and 6G networks must balance fidelity, latency, ...

Few words in AI security get used as often as, or are used to reassure as much as, “sandbox.” Security teams hear a promise ...