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Ten-year-old CNN beats frontier LLMs at skin cancer diagnosis

Original: A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis

A decade-old convolutional neural network has been shown to outperform today's frontier large language models at diagnosing skin cancer, according to a write-up from the Lynch Lab. The finding challenges assumptions that newer, larger models are automatically better at specialised medical tasks, and is prompting discussion about whether general-purpose LLMs are the right tool for narrow diagnostic problems.

Why now: It challenges the assumption that newer frontier LLMs outperform older specialised models, especially in high-stakes medicine.

Lynch LabCNNlarge language models

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• A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis · sungam · 669

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