[ThereIsNoWorry]

Almost a decade ago I used to be a hyped up HS graduate fully spoon-fed the AI hype bubble (after 2012, the first "deep" learning breakthroughs for image classification started hyping the game up). I studied at a top 5 university for CS and specialised in deep learning. Three years ago I finished, rejected a (some would call "prestigious") PhD offer and was thoroughly let down by how "stupid" AI is.

For the last 2-ish years, companies found a way to throw supercomputers on a preprocessed internet dictionary dataset and the media gulped it up like nothing, because on the surface it looks shiny and fancy, but when you peek it open, it's utterly stupid and flawed, with very limited uses for actual products.

Anything that requires any amount of precision, accountability, reproducibility?

Yeah, good luck trusting a system that inherently just learns statistics out of data and will thus fundamentally always have an unacceptable margin of error. Imagine using a function that gives you several different answers for the same input, in analytical applications that need a single correct answer. I don't know anyone in SWE that uses AI for more than as a glorified autocomplete which needs to be proof-read and corrected more often than not to the point of oftentimes being contraproductive.

Tldr; it is exactly zero surprising that FSD doesn't work, and it will not work with the current underlying basis (deep learning). The irony is, that people with power to allocate billions of dollars have no technical understanding and just trust the obviously fake marketing slides. Right, Devin?

[monkfish328]

Or perhaps statistics is reasoning generalised? E.T. Jayne's classic on this makes the case, I'd encourage reading the first chapter - https://www.amazon.com/Probability-Theory-Science-T-Jaynes/d....

[throwaway7ahgb]

What are you using as the definition of 'doesn't work'? Are you taking the author's claims?

Does something have to be perfect to work? If that's the case we shouldn't have bridges because sometimes they fail?