Point taken. But I think bringing profits into it just makes things even more clear. Profit margins on film were as high as 80% for Kodak at times. I doubt any digital camera based company is making anything close to those kind of margins. Bringing people away from film cameras was definitely not in their best interest, but they did make digital cameras too, only beaten to the market by two years by Fuji Film (1991 vs 1989). They kind of even still do make digital cameras apparently? No idea how much involvement they have with them, but their branding is at least on them. Even if they had been more successful in digital cameras they would have needed a massive downsizing and shuttering of most of their chemical based jobs in Rochester, NY and other places. I think a transition to pharmaceuticals or other ways to leverage their core chemical manufacturing business would have made more sense, which they kind of tried too by purchasing at least one pharmaceutical company, but not very successful either. I think a lot went wrong at Kodak, but I don’t think leaning even more heavily into digital photography would have saved them, and pushing in that direction certainly wouldn’t have looked too appealing at the time given their massive monopoly and profits in film.
It’s just a multiple choice test with question prompts. This is the exact sort of thing an LLM should be very good at. This isn’t chat gpt trying to do the job of an actual doctor, it would be quite abysmal at that. And even this multiple choice test had to be stacked in favor of chat gpt.
Don’t get me wrong though, I think there’s some interesting ways AI can provide some useful assistive tools in medicine, especially tasks involving integrating large amounts of data. I think the authors use some misleading language though, saying things like AI “are performing at the standard we require from physicians,” which would only be true if the job of a physician was filling out multiple choice tests.