AI has a ridiculous resource cost in electricity, and so far the news on productivity gains has been mixed or uncertain. Meanwhile, OpenAI has been partially successful at trading vaporware (stock price increases) for hardware (graphics cards), which is reckless to an absurd degree and an omen of a potential bubble.
There's no question that AI is a qualitative leap in technology. But aside from specific cases like decoding ancient tablets, what exactly is produced by better google searches and faster concept iteration that we didn't have before? And whatever that is, is it worth the cost?
For example: AI is famously just as good as junior software developers, or better, at writing code. But if it costs billions of dollars to accomplish that, is it worth it? What about replacing artists and journalists that are already paid like crap anyway?
AI also has the potential to replace huge swathes of white collar, like personal assistants, secretaries, various types of managers, HR, statisticians, etc. But a lot of those jobs are female welfare in the first place, so if efficiency was the point, they would've been gone already. Does anyone believe the entire girlboss economy is going to be thrown out on its pantsuit?
Also, does anyone know how liability will be handled with AI agents? I'm pretty sure that's one of the significant reasons we don't have autonomous cars yet. Contra the name "Full Self-Driving," Tesla requires you to have hands on the steering wheel because they can offload all responsibility for your death if you take a nap in the back seat and the Tesla headbutts a tree (which has happened). Under a fully autonomous system, do they pay out the lawsuits? What kind of sanctions will come from regulatory bodies?
Somewhat related, an AI that gets things right 99% of the time would seem to be unacceptable for certain applications, like driving or medicine. For example, getting 1% of medical facts wrong, while outperforming a real doctor on average, would inevitably result in catastrophic consequences for a random member of the public and make a human check & balance necessary, which nullifies a lot of the potential efficiency advantage.
I think there is a strong possibility that we'll look at today's landscape as the good old days when virtually unlimited queries were possible for a ridiculously low cost. When AI actually has to demonstrate ROI, there may be a future where each generation costs $5, or worse.
You can do a surprising amount of AI fine tuning/training at home, especially if you're using it for image generation, on a GPU that costs under $1000 and maxes out at 350 watts.
Interesting. I looked into it on the LLM side of things a while back and they were recommending top of the line graphics cards as a bare minimum, and while my 4070 Ti Super is decent it's not top of the line. I haven't done much image generation. I tried my hand at it and wasn't impressed with the results. I don't know if it was the model or user error but I never went back to it. I've mostly been experimenting with models that get around leftist censorship.
The best price point/functionality spot right now is a used 3090 off eBay or Facebook Marketplace or whatever, you can get something like https://www.ebay.com/itm/197789703380 and be set to run pretty much any image generator, a lot of surprisingly smart LLMs, and you can even generate 5 second 480p video clips in a reasonable amount of time (a couple minutes). If you haven't done any image stuff recently, like in the last year or so, the tools and models available have gotten a LOT better than they used to be.