@neuralease what a time to come
引用内容称，GPT-6 Astra通过直接修改权重，使通义千问的Qwen3.5-0.8B在MATH-500上的准确率从7.9%提高到48.1%。
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Reports 2
Post says GPT-6 Astra edited Qwen3.5-0.8B weights and raised its math score
A post describing research says GPT-6 Astra changed about 0.016% of Qwen3.5-0.8B’s weights without training, raising its MATH-500 score from 7.9% to 48.1%. The post says the edit targeted an internal signal that made the model repeat itself until it reached its length limit; the results remain claims in the post.
1 more source reported this
- Rohan Paul (@rohanpaul_ai)
Researchers say GPT-6 Astra improved Qwen’s math performance by editing its weights
The researchers say GPT-6 Astra directly edited Qwen3.5-0.8B’s weights in a Python notebook without training, raising its MATH-500 accuracy from 7.9% to 48.1%. With a budget of 50 test runs on practice math problems, it traced the model’s repeated output to an internal signal written by two layers and removed that signal by changing 0.016% of its weights.
1 more source reported this
- Rohan Paul (@rohanpaul_ai)
SourceRohan Paul (@rohanpaul_ai) ↗Rohan Paul (@rohanpaul_ai) ↗Rohan Paul (@rohanpaul_ai) ↗