Is AI’s hype cycle leading us into a trough of disillusionment? Dive into the reality behind GPT-5’s launch and its impact on the tech world.
A recent MIT report on AI in business found that 95 percent of all generative-AI deployments in business settings generated “zero return.”
Can’t close the Pandora’s box. AI is already out there and it’s being used in a variety of places. Some of those things are good, bad, ugly, useless, stupid or even terrifying. Once AI reaches the plateau of productivity, all the useless and stupid applications are gone, but the other ones will stay.
That all depends upon if they keep throwing dollars into the furnace to run the models.
“Useful” stuff will have to do an evaluation once they’re paying the true cost for these things as well, because most people are not running their own models…this shit is more centralized then even regular cloud computing.
I wasn’t talking about delusional LLMs and creepy image generators.
AI as a whole encompasses so much more. Like, image resolution up scaling, cleaning a noisy audio signal, generating new frames to make choppy stop motion animation smoother, finding optimal paths for logistics chains, designing a smart way to pack a pallet full of random boxes just to name a few. All of that stuff is already happening and is here to stay.
Cramming silly LLMs into every application might take a hit though. They could still be a solution to something, but we just haven’t quite figured it out yet.
Yeah, but they have tied AI to LLMs. If the investors that inflated this bubble sour on LLMs, the investments for AI more broadly speaking will probably dry up with it.
That’s true. The general sentiment of AI will influence investor behavior and the availability of money. If LLMs fail spectacularly, it could make it harder to find investors open to the idea of using AI for various other things too. The past 10 years has seen a massive rise in new AI companies, so they will be able keep on selling tried and tested AI even when investor money dries up.