Yeah, AI (not LLM) can be a very useful tool in doing research, but this takes about deciding if a drug should be approved or not.

You are correct. However, more often than not it's just like the image describes and people are actually applying LLM's en masse to random problems.

Hallucinating studies is however very on brand for LLM as opposed to other types of machine learning.

what ai, apart from language generators "makes up studies"

Technically, LLMs as used in Generative AI fall under the umbrella term "machine learning"…except that until recently machine learning was mostly known for "the good stuff" you're referring to (finding patterns in massive datasets, classifying data entries like images, machine vision, etc.). So I feel like continuing to use the term ML for the good stuff helps steer the conversation away from what is clearly awful about genAI.

That’s because “AI” has come to mean anything with an algorithm and a training set. Technologies under this umbrella are vastly different, but nontechnical people (especially the press) don’t understand the difference.

The problems with AI we talk of here is mostly with generative AI. Protein folding, diagnostic patterns and weather prediction works a bit differently than image making or text writing services.

Right. You're talking about specialized AI that are programmed and trained to perform very specific tasks, and are absolutely useless outside of those tasks.

Llama are generalized AI which can't do any of those things. The problem is that what it's good at, really REALLY good at, is giving the appearance of specialized AI. Of course this is only a problem because people keep getting fooled into thinking that generalized AI can do all the same things that specialize AI does.

Obviously that should be in an advisory capacity, and not making decisions (like approving drugs for human use [which i heavy doubt was actually happening])

I can't remember, what happened in the film?

The FDA need to get out of the way anyway. So much of what could be done isn't done because they take their sweet time with decisions.

The average approval time for a new drug is about a decade mostly because the FDA just don't do anything for the first 9 and 1/2 years. The covid vaccines were approved in a hot minute though and there was absolutely no issues with them despite what the conspiracy theorists thought. In fact they primarily based their conspiracy theory on the fact that normally the FDA takes forever and today in order to approve anything. Proving only that it doesn't need to take that long in the first place.

About as sad as the CEO

More so that the equivalent human? I have to think about this: https://www.youtube.com/watch?v=sUdiafneqL8

Not at all, because they are not thinking nor feeling machines, merely algorithms that predict the likelyhood of words following other words and spit them out

What happens when people realise and it immediately become the most popular drug on the market?

From what I've seen, 3D printers are best at oversaturating local markets with a bunch of useless trinkets. (Just kidding though I know they have legit medical uses but oh my god)

yeah like guns for example /s

Yes, machine learning models trained to solve a specific problem can be very good at solving that problem. It's artificial "general" intelligence we haven't achieved but are trying to sell.

Yeah, they're using a glorified autocorrect tool to do data analysis, something that other, different types of machine learning models might be able to do with some decent results, but LLMs are not built for.

no it's supposed to help help the drug approval workers but everything it says has to be double checked so it ends up wasting time i put the article into the post now