On X, a post claiming that a crypto arbitrage bot became 'definitely 3x faster' after being rewritten from Python to Rust (a ...
This article contains Amazon Associate advertising links.* As an Amazon Associate, [Dondon Infra Engineer] earns from qualifying purchases.I find that choosing programming learning materials is ...
AutoVNA is a new software environment that automates measurements using low-cost NanoVNA network analyzers, integrating ...
The MIT CSAIL team has proposed a "weight-space programming" method that enables GPT-6 Astra to directly read and modify ...
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 ...
Replication and stress tests of Sparks of Weight Space Programming: LLMs can understand and write neural network weights (post, logs). Blog post: I Tried to Break Weight Programming, by Xuanqiang ...
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 ...
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 new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...
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.
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