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I haven't really seen evidence that any ai can reliably draw a pelican riding a bicycle. Not if you look at the image long enough to take it in. Even the best ones have something wrong with them. Not a matter of taste but a matter of having both legs peddling on the viewer's side of the bicycle or having two beaks.

I'm actually beginning to wonder if some people who ignore these things have a different, somewhat lesser ability to percieve image details than I do.

I mean I guess its fine to go on to another test despite never actually passing the pelican bike test, but there's a sense that we have to use another test because AI is now good at pelicans on bikes, which is just not true.

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> I haven't really seen evidence that any ai can reliably draw a pelican riding a bicycle

Please remember, we've started from there :

https://simonwillison.net/2024/Oct/25/pelicans-on-a-bicycle/

When it started, it was clear what LLM would stand out, its style, etc. Nowadays, the pelicans look similar, the difference is in details and sometimes hard to catch. Sure, the task is not completed perfectly, but that's not the point. It was supposed to be a benchmark to quickly benchmark a LLM against others.

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AI has deeply changed the way I think, feel and act around a computer. In the same way that dialing into the internet changed things for me. Since using ChatGPT the first time until now I have never cared once to look at these pelicans on bikes people seem to get hung up about. It could never have been a thing and nothing would change. See the forest through the trees.
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