this post was submitted on 15 Apr 2025
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I do feel that, unlike Crypto, AI (or, to drop the buzzwords, LLMs and other machine-learning based language processors and parsers) will end up having a place in the world.
As it is NOW, the AI hype train is definitely an investment bubble and it will definitely explode in a glorious fashion eventually. Taking a lot of people down with it.
But unlike Crypto, AI does -- It like does things, you know? Even if I personally feel like it's mostly only good for a toy, all my attempts to use it for anything society would deem "valuable" were frustrated, but at least I can RP with it when my friends aren't available. It is a thing that exists and can be used.
Crypto was funny because it was literally useless. Just an incredibly wasteful techno-fetishistic speculative vehicle with precisely zero shame about being that.
As for what's next, I think Quantum Computing might be it. That is, assuming the Tech Industry even survives the bubble's burst in its current form. Because everyone in the industry is putting all their eggs including theoretical eggs that haven't even been laid, and in fact there's not even a chicken in this AI hype train. And even with AI becoming part of people's lives, as I predict it indeed will, when the bubble does burst it might end up hitting the reset button on who is truly in charge of things.
This is exactly the same at the dot.com boom and bust. After the crash the internet didn't go anywhere, and look at where we are now. The same will (unfortunately) happen with AI.
You make it sound as if they don't already have a place in the world. Ml models have been employed to solve problems for the greater part of a decade or more now. Deeply integrated into damn near everything that you interact with.
When you get an MRI or a CAT scan AI helps identify and call out peculiarities.
The traffic lights and traffic management in your city is probably partially operated using "AI".
Wear and tear on parts of your car are predicted from data using ml models.
Industry sensor data is interpreted and made actionable using ml models.
Telecommunication Network fault prediction and detection.
Energy load prediction.
....etc
But you're probably talking about is recent hype around llms which are models that are fantastically good at understanding language. Which opens up a whole new field of possibilities when you can combine the ability to understand language with the predictability and reliability of "classic" ML models.
Yes I most definitely mean the recent hype train from the likes of chatGPT which kickstarted a market bubble.
.... Because if I were to include all Machine Learning, that'd be silly. We've been using things with machine learning in it for decades now and -- No one cares. It's the best kind of technology in that it is invisible.
Drag hopes that Google and the other tech giants go bankrupt, and Ask Jeeves makes a comeback