I'm sorry but as an MLE this is not a remotely useful article, and does not belong on the front page.

It's comparing a fine-tuned CNN to general purpose models on a tiny dataset.

tgv 5 hours ago | parent | next [-]

It's good to be reminded that "frontier models" aren't particularly good at most tasks. They happen to be good at programming, since there's a lot of training data available, and the task has parallels with report writing and story telling. For skin cancer? Probably very little. Also, images of skin cancer probably don't translate that well to a Large Language Model's internal representation.

	▲	everfree 4 hours ago \| parent [-]
		It's very strange to me that articles like this get upvoted, because they are coming from this assumption that LLMs are better at everything and that it's notable and newsworthy when there's something that they aren't actually better at. I don't think we should need to be reminded that frontier models aren't particularly good at most tasks. Just like we shouldn't need to be reminded that a hammer is not particularly good for driving a screw, or writing an essay. It's an admission of magical thinking about a tool that's made out of the same material of every other digital tool since the invention of computing.

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dgellow 5 hours ago | parent | prev [-]

There is no such thing as “belong to the front page”. Flag if you think it doesn’t have its place. Otherwise, it’s up to the crowd to decide what they want upvoted. HN front page reflects upvoter interest, nothing else

	▲	howunfortunate 5 hours ago \| parent [-]
		The reason I say this is that I suspect many people are reflexively upvoting the title without reading the article. If they read the article they would realize the evidence is flimsy and not really worth reading. I will not flag it because the post is fine, it's the voters who I believe are acting poorly.