A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis
lynchlab.netsungam
A decade-old convolutional neural network demonstrates superior performance compared to current frontier large language models in diagnosing skin cancer, challenging assumptions about the superiority of modern LLMs across all domains.
Why it mattersThis suggests that for specialized medical tasks, older specialized architectures may outperform general-purpose LLMs, informing decisions about which models to deploy in clinical settings.
Read at lynchlab.net