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

Re:A 10-year-old CNN outperforms frontier LLMs for skin canc... by grd_dev on Monday October 26, 2026 @09:15AM (#50243079)

This is interesting. Honestly, I never thought this day would come that an older CNN is outperforming a frontier LLM. Guess there is just so much more to learn and optimize in this tech work which is always hyped for the next biggest model.

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Re:A 10-year-old CNN outperforms frontier LLMs for skin canc... by BrokenCogs on Monday October 26, 2026 @11:07AM (#50245051)

You must be out of touch with how machine learning works if this results surprises you.

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Re:A 10-year-old CNN outperforms frontier LLMs for skin canc... by grd_dev on Tuesday October 27, 2026 @01:34AM (#50255047)

Not really. I am not saying CNNs were bad in what they were doing. But comparing to a frontier model, I believe frontier models have an advantage over them. Not any other model, only frontier models. I create end to end AI/ML pipelines for clients usecases, so telling with experience.

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Re:A 10-year-old CNN outperforms frontier LLMs for skin canc... by BrokenCogs on Wednesday October 28, 2026 @08:15AM (#50272385)

Yeah but there has been no evidence to suggest that a frontier language model is going to be better at such a domain specific niche task than a vision model trained specifically for that task. This is not the same discussion as a foundation model vs CNNs (which in my opinion would have made for a better blog post than what OP tested)

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