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How does this translate to coding performance, which is what most of HN cares about (...I assume)?
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It's incase you want to recreate this scene from who framed Roger rabbit in svg form, duh.

https://simonwillison.net/2026/Sep/18/the-creative-spirit-of...


How dare people say neural networks generalize when it's all clearly in the training data? /ß

Absurd to think pelicans translate to coding performance. I don't care about coding! I need to generate a large volume of high quality pelican SVGs

Making SVGs is coding (of a very specific markup language). So it's not actually absurd. We've also seen that more capable models are generally better at everything minus benchmark contamination (benchmaxxing) anomalities.

It means they're good at writing SVGs, in particular SVGs of animals riding modes of transport!

I only visit HN for the pelicans, personally.

Yeah, I thought the "N" was for Nest

Hungry Nibbler



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