Like GPT-6 Astra, Qwen 3.8 27B can interpret model weights
Treat the mechanism as a merge gate: prove it in CI before the next demo reel.
A study showed that AI raised the math score of a small model from 7.9% to 48.1% by directly modifying the weights without learning.
But Banban and Jaehyun came out in one day. If you look at the conditions, the story is a little different. How much was really 'just looking at the weights' and how much was Python and model execution? It's organized in numbers 👇 The original text is MIT CSAIL
Grok Bot is very useful, but the quota is too small. After building more than ten Bots, it is obviously not enough.
Open Bot can connect its own large model, so the degree of freedom is much higher. Grok Bot can also call Open Bot to execute it. Grok Bot + Open Bot + QWen 3.8 flash next, try today to see if this approach works.
I got Qwen 3.8 running on a laptop and I'm blown away
It's Opus 4.6 performance, but unlimited, private, and local It's on the RTX Spark and it's amazing In this video I cover how to load local models on ANY device you have using Hermes and all the cool projects you can build
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