New research paper

[Philipp Harland]

Research is the process of identifying a problem and then using relevant, applicable methods to resolve it. AI cannot write and debug code, especially not for this purpose. The graphs are a result of hallucinating. 

Let's try an example with something in my field. As I am a mathematician by trade, that field is mathematics, obviously.

Let's say we have a hypothetical family of differential equations, D. Let's say D is vastly uncharted in terms of mapping out its properties and relations to other families of differential equations, i.e. there have only been 1-2 papers on D in the past 10 years since its discovery and those papers haven't really made much progress.

AI couldn't be of any use, especially not for writing and debugging code that could help us understand D.  

That's the fatal flaw. You've probably heard this before, but AI cannot produce novel information. It's just a numbers-in numbers-out machine.

I understand AI very well, and it's perfectly capable of suggesting appropriate statistical techniques, and then writing code to help you do execute them. The work I did was purely in Termux using python. We start with EVA and go from there. What's the difference between that and any other computational statistics?  What's not right is where people try to operate entirely within the Chatgpt environment. That's fatal as it will hallucinate, forget, and generally create a mess. I have python scripts and tsvs for every single calculation in my paper, but I admit my figures are broken which is highly embarrassing and I will fix them

I'm curious now. I'd like to test your knowledge about AI. Explain how an LLM works without  using Google or LLMs themselves. A summary in 200 words or less would be nice.

Don't be an arse

I'm not. I'm trying to sincerely test your knowledge. No ill intent.