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 incredibly mundane command of repetitionWhen you learn programming, the concept of "repetition" appears quite early on.In ...
Tsinghua's HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...
Last time, we learned how to apply Python's 'if statement' to change processing based on conditions. For example, it was code like the following.score = 85 if score >= 80: print("優秀！") elif score >= ...
Tom's Hardware on MSN
Benchmarking Nvidia’s Vera CPU for the data center
Nvidia gave us access to its Vera data center CPU for testing against Intel's Granite Rapids-AP and AMD's EPYC Turin.
print("hello world, I'm learning Python"!) ...
DEMATELab is a new open-source Python application that unites classical, fuzzy, grey and Z-number DEMATEL analysis with ...
Foundry in the real world: Turning LLM hunches into verified findings – Security Loop Series, Part 2
See how Foundry turns LLM hunches into verified findings on Langflow, MLflow, and PyGoat, using an evidence gate and an honest look at token cost.
MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...
A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...
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 ...
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