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Are AI Labs Pelicanmaxxing?
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Overview
Simon Willison has tested major LLM releases using the prompt “Generate an SVG of a pelican riding a bicycle,” creating an informal benchmark in AI. The results often receive significant engagement on platforms like Hacker News, sparking discussions about the benchmark's usefulness.
Summary from dylancastillo.co.
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Are AI Labs Pelicanmaxxing?
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Hacker News · dylancastillo.co
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Based on 5 sampled comments from this thread. Analyzed 2026-07-23.
- Praise: Dylan's methodology here is significantly more robust than anything I was considering, showcasing a solid approach to evaluating model performance.
- Praise: I'm glad someone ran the numbers on this; it's a refreshing take on quantitative analysis of AI outputs that often get dismissed.
- Praise: The outputs of Qwen3.7 Plus have to be seen to be believed; there's clearly impressive capability on display here.
- Concern: Using a LLM to generate complex SVGs is pretty niche; this makes me question the general applicability of the benchmark.
- Concern: There's a lack of evidence that these models have trained on specific combinations like pelicans on bicycles, which raises doubts about their generalization capabilities.
- Concern: The argument that AI labs could be sucking up all the training material without real improvement is disheartening and suggests stagnation.