MIT CSAIL researchers say GPT-6 Astra edited 0.016% of Qwen3.5-0.8B weights to fix reasoning loops, lifting MATH-500 from 7.9% to 48.1% without training.
The Register touts an open source crane game robot. Viam lists 7 parts for a Raspberry Pi claw build. Price and creator ...
Baseten announced on November 5, 2026 that it has joined the NVIDIA Nemotron Coalition, contributing insights from enterprise workloads and expertise in post-training and inference to open-model ...
This is Uemasa.It has gotten much cooler lately, and it feels completely like autumn now🍂Since it's the autumn of appetite, my mind has been full of food lately.Well then, in my previous article, I ...
Unlock the transformative power of self-programming with our comprehensive guide on "I 'Program' Myself" — a strategic, ...
Sugoi Hiroshima with Python [115] connpass We hold this regularly on the last Wednesday night of the month PyCon mini ...
The MIT CSAIL team has proposed a "weight-space programming" method that enables GPT-6 Astra to directly read and modify ...
MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...
GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.
A compiler turned the NES 6502 processor into the weights of an unmodified Qwen3.5 model, letting the AI predict execution ...
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.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results