Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
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.
If AI writes the code, what should children learn?We live in an era where a working game can be created with short ...
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.
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.
Cloudflare Workers pricing starts at $5 a month. See worked bills against AWS Lambda, Azure Functions and Cloud Run after the ...
Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights' - RikiyaT/lm_understand-logs ...
Open-source custom firmware for PicoCalc, Cardputer ADV, Flipper Zero, POOM, and other ESP32/Raspberry Pi Pico devices - jblanked/Picoware ...
A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...
We spent hundreds of hours testing products for kids and families this year, with the help of dietitians, therapists, and ...
See the 4 AdvaMed data access principles for 2026: who owns device data, how to share it, and what to fix before your next ...