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When is it ever hard to catch?
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Sure, the task is not completed perfectly, but that's not the point.

Isn't it?

If the computer can't do it better than a human being, then what's the point?

Being wrong at scale is not better than being right.

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[delayed]
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Hugely profitable companies leak half the nation's personal data every month. Tell me more about how being wrong at scale is not valuable.
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Many humans would struggle with this even with very good tooling (ie not writing raw svg and using illustrator). I struggle to draw a bicycle accurately. But yes, I suspect it will be diminishing returns and I doubt it will ever be perfect due to the average nature of AI but I’d like to be wrong.
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>If the computer can't do it better than a human being, then what's the point?

Because the benchmark wasn't testing "can an LLM draw a pelican like a human". The original article was testing the relative capabilities between LLMs. Now that LLMs can all draw pelicans all similarly, the test is less interesting as a comparative benchmark.

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Trillions of dollars spent. Trillions of gigawatts consumed. And people still celebrate "Yay! We're less wrong than the other guys!"

This is what the tech industry has become?

Less of a failure is still failure.

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That is the software industry. Our product is less bugged than our competitor’s.
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