Comment Re:$$'s and FOMO (Score 1) 108
AI is very good at some things, and very bad at others. There are scenarios where it is so much better than humans that it essentially eliminates an entire field of study and also scenarios where it is laughably bad (you can find almost infinite examples online).
All LLMs are AI, not all AIs are LLMs. Do not confuse the two.
Since you are obviously an AI sceptic, I would assume you avoid LLMs and therefore have no reference for their capabilities today. So, even if we only consider LLMs, AI is demonstrably better and faster at finding obscure security vulnerabilities in software than people are, hence the massive waves of patches for almost every widely-used piece of software. AI is getting very good at coding - for complex programs you still need a person to check its work and keep it within acceptable parameters, give it guidance with overall architecture etc, but it's getting much better at those things too. It can knock out relatively simple programs/boilerplate first time, more complex code or stuff in a less popular language might require a bit of back-and-forth - but that's true of human coders too.
I know a lot of people are wishing for the bubble to burst but it's just not looking likely in the near-term. We've barely scratched the surface of what these models can do. Progress has not stagnated; the models are still improving and they're gaining functionality every day. Just look back a few years at ChatGPT 3's output in both natural language and code and compare to what LLMs produce today - it's quite astonishing how fast and how far they've developed, and that's not even considering the massive improvements in image, video and audio generation. I don't believe there is a direct path from LLMs to General AI, but that doesn't render what we have today useless.
Obviously, the environmental impact, the impact on supply chains for memory and compute power, the harvesting of data without compensation to authors, the energy demands, the water demands, the job losses - both potential and actual - these are all real-world problems that must be addressed, but they are all surmountable.
Whether these issues are handled efficiently, ethically and equitably will be decided by human beings, not AI. Ask an LLM what it thinks the solutions to these might be, compare to the rhetoric from the tech bros and (some) politicians, and you might have a marginally less jaded opinion of the LLM.
Transparency: I use LLMs regularly for work and hobby projects, but have no financial stake in any AI companies or related fields whatsoever. AI was not used in the writing of this comment.