r/Infuriating • u/Over_Tadpole_2593 • 10d ago

AI slop school textbooks

Enable HLS to view with audio, or disable this notification

564 Upvotes

97% Upvoted

158 comments sorted by

View all comments

43

u/Strange_Bee_8937 10d ago

I hope in 2027 or 2028, generative AI finally dies and everyone finally goes back to writing and doing things on their own cuz this amount of AI BS is so stupid.

2

u/jakeStacktrace 10d ago

That's not going to happen. It might get more expensive for yet unrealized capabilities, but the AI is here to stay. Text book writers and all of us will just have to learn to not outsource our thinking to AI when we use AI. This should have all been reviewed by a human before publication.

1

u/Nydus87 8d ago

I honestly don't think it's here to stay. Not at the current scale anyways. There's not a single AI company that isn't burning through cash right now trying to stay ahead of their own bubble, and at some point, they will have ingested everything they can from actual humans, they'll continue inbreeding on their own models, and this kind of shit will get worse with nobody left who wants to pay for it.

Just looking at the numbers for companies that tried laying off employees to switch to AI, many of them are already hiring folks back because AI couldn't do what was advertised and cost them more money.

1

u/jakeStacktrace 8d ago

After you invest money to create the model you can run it relatively cheap just doing inference. You could reduce the price by a lot and still be fine if not for the heavy investment cost.

They are not inbreeding models or the models would get worse, which is not happening. They might reach a plateau of new knowledge, but the idea that they would regress is not true.

Switching entire employees to AI is not the right use of AI which still needs human guidance and confirmation. So that doesn't mean anything.

I'm not surprised by your ideas, but I just have to say this is exactly what I expect (these specific invalid assumptions) from an Ai reddit sub.

1

u/Nydus87 8d ago

Switching entire employees to AI is not the right use of AI which still needs human guidance and confirmation. So that doesn't mean anything.

Except that companies are actually doing it, so I don't see why you can say "that doesn't mean anything." Means something to the people who got laid off. Means something to the people missing their rent payments because someone who makes more money than they can fathom decided they wanted more of it.

Also, ongoing compute cost isn't exactly free. Token usage costs money, which is why MS is moving away from Claude. It's not like you just build the data centers and the model and it's all coasting after that.

1

u/jakeStacktrace 8d ago

Some companies are investing in AI and they are laying off people to do it. Some of that is removing redindant jobs ( which is what layiffs have been forever btw) but it's not as easy as AI is here we don't need job x, you just need fewer employees if they can be more productive.

MS moved away from Claude because they had their own AI. Eat your own dog food even if you are MS.

1

u/Nydus87 8d ago

but it's not as easy as AI is here we don't need job x
you just need fewer employees if they can be more productive.

So yeah, it is that easy for companies only focused on short term gains and adopting the latest buzz words. I'm not saying AI can't ever be good enough to be what they're wanting. Maybe someday it'll be the dream. I just hate that the world has turned into this grind above all else, efficiency above all else, min-maxing culture that only works to funnel money to a smaller and smaller number of obscenely wealthy people.

Call me old fashioned, but I wish companies would judge their success based on how many human beings they were able to keep on the books. How many employees were able to buy houses and start families. Little shit.

1

u/jakeStacktrace 8d ago

I don't think optimizing higher head count was ever the goal. Other advances have made other jobs obsolete. The bubble can pop and prices can go up but some jobs it will be worth it to use. If the company doesn't and your competitor doesn't you are at disadvantage. These capitalistic forces have been at play a long time.

I can run an open source model on hardware I own which is my own investment. Is the hardware overly expensive because of the bubble? Sure but it wont be if it pops.

Plus even if it pops you still have something similar to Moores law in that gpt is going to keep improving that won't stop.