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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 the assumption that newer, larger models are always better for specialised medical tasks, prompting debate among technologists and clinicians about whether purpose-built tools remain superior for narrow diagnostic problems.

Why now: It challenges the hype that newer frontier LLMs automatically beat older specialised models, sparking debate on Hacker News.

Lynch Lab CNN large language models skin cancer diagnosis

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A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis · sungam · 657

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