Artículo
en
Qwen 3.8 27B on my laptop can interpret model weights, too
Fuente: Simon Willison ·
Yesterday's hot paper was Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights by Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab. The paper (OK, the authors classify is as a "blog post", but it's paper-shaped) found that frontier models, in particular GPT-6 Astra, can both interpret and modify the raw weights of a machine learning model - literally a text description of the model containing a bunch of floating point numbers. I've been playing with one of the examples from the paper and I'm delighted to share that Qwen 3.8 27B running on my laptop
Más como esto
-
剖析 Golang Bigcache 的极致性能优化
Artículo · 编程沉思录
-
🎙️ 科技热文播报 - 2026-03-14
Artículo · 北门清燕
-
Marc Andreessen on AI Winters and Agent Breakthroughs
Artículo · Josherich的博客
-
Designing Data-intensive Applications with Martin Kleppmann
Artículo · Josherich的博客
-
IR, E-Ink, and Avgas
Artículo · Josherich的博客
-
No, those are not games
Artículo · Josherich的博客