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Something to keep in mind with every AI startup is that they’re trying to skate to where the puck will be in a year or two. You could still be right, but it’s w
by danenania 2y ago
Something to keep in mind with every AI startup is that they’re trying to skate to where the puck will be in a year or two. You could still be right, but it’s worth considering what happens to any particular use case if the model gets 2 or 3x smarter.
- Zenzero 2y agoThe difficulty partially lies in that there are numerous different "flavors" of medicine in any given specialty. Coupled with the vast amount of medical knowledge that is known in part or simply hypothesized given current evidence, you are going to run up against doctors disagreeing on how the summary selects what information can be typically left out. Even for myself, there is individual variation case to case what I would want to see. Sometimes it depends on things that aren't measurable. If my brain is exhausted after a long week, or if I couldn't sleep on Wednesday, I may conduct rounds a bit differently than if I am fresh. An LLM that isn't responsive in the same way can be problematic.