# Astra Surgically Rewired Qwen3.5B And Made It 6x Smarter (MIT)

**URL:** <https://www.artofsm.art/t/astra-surgically-rewired-qwen3-5b-and-made-it-6x-smarter-mit/27404>\
**Category:** Content Creators\
**Tags:** machine-learning, tech, lustoykov\
**Created:** [3 November 2026 20:05 UTC](https://www.artofsm.art/t/astra-surgically-rewired-qwen3-5b-and-made-it-6x-smarter-mit/27404 "2026-11-03T20:05:06Z")\
**Posts on this page:** 1\
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**Author:** ![artesia](https://www.artofsm.art/user_avatar/www.artofsm.art/artesia/32/36_2.png) [@artesia](https://www.artofsm.art/u/artesia)\
**Post date:** [3 November 2026 20:05 UTC](https://www.artofsm.art/t/astra-surgically-rewired-qwen3-5b-and-made-it-6x-smarter-mit/27404/1 "2026-11-03T20:05:06Z")

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[![](https://www.artofsm.art/uploads/default/original/3X/c/9/c90b672c4b95db4d91a295133839aae91f3e2653.jpeg "Astra Surgically Rewired Qwen3.5B And Made It 6x Smarter (MIT)") ](https://www.youtube.com/watch?v=cbEtSQJ4Xck)

MIT researchers developed an LLM called Astra that can read, interpret, and surgically modify the neural network weights of other models to improve their performance without additional training, demonstrated by enhancing game-playing abilities and boosting the math skills of the Qwen 3.5B model. While the concept of weight space programming is decades old, this work popularizes its application to modern AI, sparking both excitement and skepticism about its potential for efficient model improvement and future recursive self-enhancement.

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