Exactly. People keep shoehorning Large Language Models into non-linguistic domains, and that’s dangerous. Human language, with respect to the training sets used, is inherently subjective and imperfect. Healthcare is very fault-intolerant.
It doesn’t replace any individual directly. It improves one person’s capability to the extent that there may be fewer needed to do a job. And that’s not a bad thing in my opinion, especially because it can improve the quality of that person’s work at the same time.
Edit to elaborate: I am opposed to replacing humans with AI in general. AI is a tool. But if that tool can empower someone to do more and better work, then I’m not opposed. Using stolen intellectual property to replace creatives with an inherently non-creative slop machine is greedy and evil. Using machine learning trained on medical data sets to let a radiologist more comprehensively and deeply review a frankly overwhelming amount of data to better save lives? I’m cool with that. But I also think that, in line with my stance that AI is a tool, there will likely be a well-trained human operating these tools for a long time before radiologists cease to exist.
For what it’s worth, “AI” in this context is probably not the content-stealing Generative AI that everyone is trying to cram everywhere it doesn’t belong. This is a much more legitimate application of a similar technology.
I’m not mad about the idea of AI in radiology because it’s a really good fit. A human radiologist can’t compare a hundred similar slices and cross-correlate possible anomalies, whereas AI can. This improves detection and outcomes and is exactly where medical technology is supposed to help.
That said, I don’t think we’ll replace radiologists across the board for a long time. This will be a very useful tool and will probably reduce the number of radiologists required and modify their roles significantly, but it’ll be more like how a single worker with editing software can do work that would have required a small team in the pre-digital days of film.
Maybe you can’t fight a rocket, but an autonomous taxi on the other hand…
Yeah I have a pretty solid supplier for now so I don’t bother making my own, but it doesn’t look that hard as long as you can find fenugreek.
Thanks! Some recipes include cayenne, some even to the point of being inappropriately spicy. This recipe looks about right though.
Ethiopian Berbere. Trust me. You can add it to almost anything when it needs a kick of earthy umami. We keep tons of it on hand because it’s shockingly useful for something so rarely used.
Don’t worry, the resulting class action lawsuit will make them atone for their crimes. Expect your $1.17 Venmo payment in 9-27 months.
Check out Brilliant Labs.
You know I was just thinking that what OpenAI needs to really succeed is someone who knows how to haphazardly throw together a wildly irresponsible, insecure, and unsafe tool that gets really popular really quickly.
This, along with the story of the driverless car running over a beloved neighborhood cat, highlight the fundamental problem here: they’re training these systems to be autonomous cars - and they’re impressively close - but they’re still miles away from creating a simulation of an autonomous human. Not everything about operating a car is driving it.
Predates him but he’s known for his version of it. There’s an entire documentary of it.
Fair enough. Maybe I’m too old for the internet.
Is Homeland Security chasing bots? Because that’s the bottiest name I’ve ever seen. If so, please continue. 🍿
Tesla’s KPIs aren’t selling good cars or making customers happy. There’s only one, and it’s making money for investors. It’s never been worth anything close to its valuation. It’s just a tool (run by a tool) for tools to get rich on.
I downvote any article with this insanely sketchy domain format.
High Performance Compute for medical research to go with the free healthcare we should also have in this scenario.
More bullshit URL slop.
Too many billionaires are salivating over the latter.