Frontier LLMs Show Ability to Read and Edit Neural Network Weights
MIT CSAIL's 'Sparks of Weight-Space Programming' reports frontier LLMs can natively read and write neural network weights, with GPT-6 Astra reportedly editing Qwen3.5-0.8B's weights to lift MATH-500 from 7.9% to 48.1%.
Read the full story at Techmeme ↗
Timeline · 37 reports
- 2026-11-04 12:56 · DEV Community — Machine Learning
Weight-Space Programming - 2026-11-04 10:33 · DEV Community — Machine Learning
Weight-Space Programming: how GPT-6 Astra edited Qwen's weights and took MATH-500 from 7.9% to 48.1% - 2026-11-04 09:46 · DEV Community — AI
Build a Same-Prompt Harness: Compare Kimi K3.1 Pro, DeepSeek V4.1 Flash, GPT-5.1, and Qwen3.8 Max on Meeting Notes - 2026-11-04 03:27 · DEV Community — Machine Learning
Bagaimana GPT-6 Astra Memperbaiki Qwen3.5-0.8B dengan Mengedit 0,016% Bobotnya - 2026-11-04 02:26 · r/mlscaling
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights - 2026-11-03 20:53 · Pandaily
Huawei Cloud to Retire openPangu-2.0 Models From MaaS, Recommends DeepSeek-V4.1-Flash and GLM-5.3 - 2026-11-03 19:26 · r/LocalLLaMA
DeepSeek V4.1 Flash 1017 can also do Weight-Space Programming - 2026-11-03 19:14 · The Algorithmic Bridge
The Dawn of a New AI Paradigm: Weight-Space Programming - 2026-11-03 18:48 · r/LocalLLaMA
I tried MIT's "weight-space programming" on my own use case: Claude rewrote 8 neurons of Gemma 4 12B to change how it translates one Italian tense - 2026-11-03 17:54 · DEV Community — AI
Weight-Space Programming Works: An LLM Fixed Qwen's Math Loop by Editing 0.016% of Its Weights - 2026-11-03 14:30 · DEV Community — Machine Learning
GPT-6 Astra Edited Qwen3.5-0.8B's Weights. The MATH-500 Jump Was a Loop Fix - 2026-11-03 14:16 · DEV Community — Machine Learning
Hydrogen-1.0 MIT Open Weights: Gated BF16, NVFP4 262K Context Cliff, and Vendor FSR vs GPT-6 Astra - 2026-11-03 12:38 · DEV Community — Machine Learning
What counts as feedback in weight-space programming? - 2026-11-03 11:15 · DEV Community — AI
Astra’s Weight‑Space Programming: A Practical Guide to Tuning Qwen - 2026-11-03 09:06 · r/LocalLLaMA
[Paper] Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights - 2026-11-03 05:35 · Analytics India Magazine
MIT Researchers Show LLMs Can Read and Edit Neural Network Weights Without Retraining - 2026-11-03 05:35 · Latent Space
[AINews] LLMs can read & write neural network weights: "Weight Space Programming" cuts Autoresearch out of the RSI loop - 2026-11-03 03:59 · r/LocalLLM
DeepSeek V4.1 Flash (552B) on a used Dell R820 from 2012: 10 tok/s decode, 100 tok/s prefill - 2026-11-03 02:19 · DEV Community — AI
Kimi K3.1 Pro: 5,315 multilingual test results - 2026-11-03 01:16 · DEV Community — AI
Kimi K3.1 Pro Highspeed vs Pro: we measured the real speedup - 2026-11-02 22:16 · VentureBeat AI
'Like gene editing for neural networks': MIT researchers used GPT-6 Astra to edit Qwen's open weights directly, boosting math performance - 2026-11-02 21:36 · r/LocalLLM
MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training. - 2026-11-02 21:25 · r/LocalLLaMA
GPT-6 Astra Edits Qwen Weights: MATH-500 7.9% to 48.1% - 2026-11-02 21:00 · Ethan Mollick (X)
If this holds up, it is big: "We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math - 2026-11-02 20:18 · r/singularity
MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training. - 2026-11-02 20:18 · r/MachineLearning
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights [R] - 2026-11-02 20:00 · Techmeme
Researchers say LLMs can be good at natively reading and writing neural network weights; GPT-6 Astra edited Qwen3.5-0.8B's weights to make it better at math (Rikiya Takehi) - 2026-11-02 19:24 · Lobsters AI
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights - 2026-11-02 19:15 · r/LocalLLaMA
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights - 2026-11-02 18:45 · r/singularity
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights - 2026-11-02 15:57 · r/LocalLLaMA
Unsloth vs GSQ-RCO - 512K context DeepSeek-V4.1 GGUF benchmarks Terminal Bench - 2026-11-02 15:52 · r/LocalLLaMA
Running UNCENSORED DeepSeek-V4.1-Flash-1017 on a 12 Gb VRAM - 2026-11-02 15:33 · r/LocalLLM
Uncensored versions of ISTA's GSQ-RCO DeepSeek-V4.1-Flash-1017 quants for Strata, benchmarks inside - 2026-11-02 15:11 · r/LocalLLM
New DeepSeek-V4.1-Flash-1017 Unsloth Dynamic V3.1 GGUFs! - 2026-11-02 14:33 · r/LocalLLaMA
[Release] ISTA DeepSeek-V4.1-Flash-1017 GSQ-RCO Coder: a 763B model at 1 bit per parameter - 2026-11-02 05:37 · r/LocalLLM
Getting incredible results with a single RTX 3090ti and 128gb of ram. Deepseek-V4.1-Flash-1017 (35 tok/s decode) and Qwen3.8-Flash-Next (130 tok/s decode) - 2026-11-01 21:01 · r/LocalLLaMA
Getting incredible results with a single RTX 3090ti and 128gb of ram. Deepseek-V4.1-Flash-1017 (35 tok/s decode) and Qwen3.8-Flash-Next (130 tok/s decode)