It's a strange looking pelican just overlaid onto a mechanically illiterate version of a bike and the comments are like "the world isn't ready for this".
The details of the bike geometry and how it has a deep understanding of how the pelican would accurately use it is actually mind boggling, not sure society is ready for this
It's pretty clearly making fun of people hyping up new LLM releases.
it would be interesting if it could use a diffusion model to generate the bitmap then a different model to convert that bitmap to vector format. This could be an interesting way to reason about animations.
"Generate an SVG of a pelican riding a bicycle" is pretty impressive though.
https://old.reddit.com/r/OpenAI/comments/1mettre/gpt5_is_alr...
It's a strange looking pelican just overlaid onto a mechanically illiterate version of a bike and the comments are like "the world isn't ready for this".
The comment is
It's pretty clearly making fun of people hyping up new LLM releases.
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It's related to the history of Simon Willison[0] having used this as a benchmark on many models.[1]
I believe this model's output is noticeably superior... but yeah, people do tend to get hyperbolic when new stuff happens it their domain of interest.
[0] https://news.ycombinator.com/user?id=simonw
[1] https://www.google.com/search?q=simon+willison+pelican+ridin...
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this comment points out the same things as you. It's (not-so-obvious but pretty clearly in hindsight) sarcasm
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What is this supposed to be a test of. Actual Image models are unbelievably cracked at correct physics...
Can you do it better?
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The dumbest among us tend to be the most in awe of mundane technology.
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https://chatgpt.com/share/688cd9bd-2dc0-8000-936a-0bbf7ba442...
Compare to what 4o does.
Pelican riding a bicycle is only official when it comes from Simon Willison https://simonwillison.net/2025/Jun/6/six-months-in-llms/
I agree. When he logs in to chatbot interfaces, the random seeds become blessed with authenticity and thus only those outputs are valid.
Yes, I tested the wrong version on accident :(
Heh, I was wondering. Haven't had a moment to set it up in my LibreChat yet. But, I thought I saw reasoning in some of the reddit comments.
The pelican doesn’t look like a pelican and it looked like two images stacked on top of each other.
If GPT 4 couldn’t do that, than GPT 5 isn’t impressive but GPT 4 is underwhelming.
What about images, not SVGs, of clocks that show times different than 10 past 10?
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it would be interesting if it could use a diffusion model to generate the bitmap then a different model to convert that bitmap to vector format. This could be an interesting way to reason about animations.