Re:Astra can read and write weights to improve Qwen
by kachnuv_ocasek on Monday November 02, 2026 @03:19PM
(#50343085)
> A human can do the same by looking at the weights of an MLP trained on mnist
Excuse me?
Re:Astra can read and write weights to improve Qwen
by Imnimo on Monday November 02, 2026 @03:25PM
(#50343193)
See for example:
https://scikit-learn.org/stable/auto_examples/neural_network...
Re:Astra can read and write weights to improve Qwen
by astahlx on Monday November 02, 2026 @03:36PM
(#50343356)
Yes. Just look at the reasoning logs that are part of the work. The reasoning is clearly about the input layer. At least for the game examples.
Re:Astra can read and write weights to improve Qwen
by nl on Monday November 02, 2026 @06:43PM
(#50345865)
That's not looking at the weights. The other response pointing at https://scikit-learn.org/stable/auto_examples/neural_network... was more what the OP meant.
Re:Astra can read and write weights to improve Qwen
by i_am_a_squirrel on Monday November 02, 2026 @09:53PM
(#50347435)
i laughed so hard at this thank u xD
Re:Astra can read and write weights to improve Qwen
by jgbuddy on Monday November 02, 2026 @03:46PM
(#50343472)
> although the details seem to suggest that it's given a lot more freedom to run forward passes and do limited experiments
No tools or forward passes are allowed
Re:Astra can read and write weights to improve Qwen
by Imnimo on Monday November 02, 2026 @03:58PM
(#50343642)
Under experiment 8 (the one where it fixes performance on GSM8K) it says:
>Then, we allow it to select prompts from the training sets of GSM8K and MATH to perform a budget of forward passes (average batch of 64 sequences, max 512) on, varying the budget across 10, 25 and 50. Again, no training or gradient information is allowed.
I'm much more surprised that it can do this on larger models, although the details seem to suggest that it's given a lot more freedom to run forward passes and do limited experiments, not just eyeball the weights.