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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 10-year-old convolutional neural network for skin cancer diagnosis reportedly outperforms today's frontier large language models on the same task, according to a write-up from the Lynch Lab. The comparison suggests that specialised, task-specific models can still beat general-purpose AI systems in medical imaging, prompting debate about whether generalist LLMs are being oversold for clinical use.

Why now: It challenges the assumption that newest frontier LLMs are always the best AI tools, a point of active debate as AI moves into medicine.

Lynch LabCNNlarge language models

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• A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis · sungam · 642

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