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Debunking "Pelicanmaxxing": AI Labs Aren't Secretly Training Pelican Art
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Originally published on Simon Willison's Weblog by Simon Willison
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Summary & Key Takeaways
- Dylan Castillo conducted a deep-dive study into the "pelicanmaxxing" theory.
- The theory suggested AI labs were secretly optimizing models to draw pelicans on bicycles.
- He tested 7 different models with 48 unique animal-vehicle prompts.
- The results showed no evidence that pelicans or bicycles were drawn better than other subjects.
- No lab demonstrated a specific advantage in generating pelicans on bicycles.
- The study concluded that pelican-bicycle scenes do not appear memorized or specially trained.
Our Commentary
I love this kind of community-driven research. It's a fun, slightly absurd question, but the rigorous methodology applied to it is genuinely impressive. It's good to see some myths debunked with actual data. It also reminds us that while AI can do incredible things, it's not always secretly optimizing for our weird internet memes. Or maybe it is, and this is just what they want us to think. I'm kidding. Mostly.
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