weight-space-programming

A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world.

First release for Can LLMs Debug Robots by Editing Their Weights? Code, 65-row edit, 16 experiment logs and evidence. V2 and real-robot experiments in progress.

The interface between probabilistic model checking and data-driven policy learning.

wsp-kit by Aurem — an engineering tool for small models. Try to fix small open-weight models by editing weights directly, no retraining. An eval gate decides.

Weight-space programming experiments on nonconvex algorithmic tasks: code, recorded results, analysis, and research preprint.

A curated collection of Weight-Space Programming and weight-centric research, covering weight understanding, generation, editing, merging, transfer, and continual learning.

Agent skill for weight-space programming: edit LLM weights

Can an LLM write a neural network that IS a benefits formula, exactly? Weight-space programming experiments on SNAP, EITC, SSI, and Medicaid arithmetic.

Controlled weight-space programming evaluation with CPU replay, fixed neural networks, and audited LLM pilots.

Weight-space programming toolkit for inspecting, editing, and evaluating open-weight language models.

A curated list of weight-space programming: LLMs that read, edit and write the weights of other neural networks directly. Updated daily.

Calmer Qwen: fixed sparse weight edits, reasoning-language analysis, reproducible tools, and positive and negative experimental evidence.

Home replication of MIT CSAIL Weight-Space Programming on Qwen3.5: gradient-free weight edits that cut reasoning loops.

Give AI agents tools to inspect, edit, and test model weights: an MCP harness and Python toolkit for weight-editing experiments.

Agent skill for neural-network forensics, causal debugging, and reversible weight edits, inspired by Weight-Space Programming.

A toolkit for Weight-Space Programming / Reading

Direct NNUE weight edits without gradients: reproducible Stockfish matches, 264 game records, and an inconclusive first result.

Direct weight surgery for LLMs — edit weights, not gradients. Extract the arrow, leave the body intact.

Awesome Weight-Space Programming: curated papers, code, benchmarks, and open experiments for reading, writing, and editing neural network weights.

Awesome Weight-Space Programming: curated papers, code, benchmarks, and open experiments for reading, writing, and editing neural network weights.