GitHub

GitHub - JafarBadour/Snack-SNN: SNACK: truly sparse GPU layers with a custom COO SpMM CUDA kernel — NeurIPS 2026 (arXiv:2610.04093) · GitHub

SNACK: truly sparse GPU layers with a custom COO SpMM CUDA kernel — NeurIPS 2026 (arXiv:2610.04093) - JafarBadour/Snack-SNN ...

'Like gene editing for neural networks': MIT researchers used GPT-6 Astra to edit Qwen's open weights directly, boosting math performance

In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...
kucoin

MIT researchers use GPT-6 Astra to enhance Qwen's mathematical ability by 6x

Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
news.lavx.hu

LLMs read and edit neural weights without gradients

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.
shiftdelete.net

GPT-6 Astra Edits Qwen Weights Directly, Lifting Math Scores 6x

MIT researchers say GPT-6 Astra edited 0.016% of Qwen3.5-0.8B weights without training, fixing reasoning loops and lifting MATH-500 from 7.9% to 48.1%. MIT researchers say OpenAI’s GPT-6 Astra can ...
GitHub

Logs: LLMs can understand and write neural network weights

Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights' - RikiyaT/lm_understand-logs ...
eu.36kr

MIT allowed GPT-6 Astra to directly modify Qwen's weights, and its math scores have soared.

MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...