/AI2h ago

Fable AI Generates Concise Optimizer Prototypes for Rotation Learning

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Yaroslav Bulatov@yaroslavvb#527inAI

First impression of Fable: a lot more concise out of the box. Example of asking it to prototype optimizer updates https://github.com/yaroslavvb/learning-rotations

5:54 PM · Jun 9, 2026 · 1.3K Views
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Users praise Method 3 from Fable AI as a good example of non-gradient-descent learning that relies on multiplicative updates.

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Yaroslav Bulatov@yaroslavvb

Method 3 is a good example of a non-"gradient descent"-based learning, a multiplicative update

Yaroslav Bulatov@yaroslavvb

First impression of Fable: a lot more concise out of the box. Example of asking it to prototype optimizer updates https://github.com/yaroslavvb/learning-rotations

2hViews 459Likes 0Bookmarks 0
Yaroslav Bulatov@yaroslavvb

The design sense of Fable is really nice, colors come out consistently on first try https://yaroslavvb.github.io/learning-rotations/

Yaroslav Bulatov@yaroslavvb

First impression of Fable: a lot more concise out of the box. Example of asking it to prototype optimizer updates https://github.com/yaroslavvb/learning-rotations

1hViews 162Likes 0Bookmarks 0