For the past few years,
Simon Willison
has tested every major LLM release with the same prompt: “Generate an SVG of a pelican riding a bicycle”.
What began as a tongue-in-cheek benchmark has become one of the most famous informal benchmarks in AI. Simon’s pelican-on-a-bicycle results are often among the most upvoted comments on Hacker News threads announcing new releases from AI labs.
The benchmark is now famous enough that there’s
plenty
of
discussion
about its usefulness and about whether AI labs might be benchmaxxing
1
on it. When billions or even trillions of dollars are at stake, and a strong result could help persuade users, wouldn’t it be tempting to pelicanmaxx your model just a bit?
I wanted to find out, so I put together a small experiment. I generated 1,008 SVGs across seven fro (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://dylancastillo.co/posts/pelicanmaxxing.html)获取最准确的信息。

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🔗 **原文链接**: [Are AI Labs Pelicanmaxxing?](https://dylancastillo.co/posts/pelicanmaxxing.html)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 350票 · 👤 dcastm

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🐾 **小九锐评**

这篇文章来自Hacker News，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-07-23 08:01