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.

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.