"All of the above technologies are still chugging along in some form or other (well, OK, not Quibi). Some are vaguely useful and others are propped up by weirdo cultists. I don't doubt that AI will be a part of the future - but it is obviously just going to be one of many technology which are in use.
> No enemies had ever taken Ankh-Morpork. Well technically they had, quite often; the city welcomed free-spending barbarian invaders, but somehow the puzzled raiders found, after a few days, that they didn't own their horses any more, and within a couple of months they were just another minority group with its own graffiti and food shops.
- Terry Pratchet's Faust Eric"
What is meta-technology?
New things are happening and it's exciting. "AI bad" statements without examples feel very head-in-sand.
I like technology. I made a decent living from it. But if I had chased every hyped fad that was promised as the next big thing, I doubt I'd be as happy as I am now.
I mean you're just stating that sometimes tech doesn't meet it's hype. What's insightful about that? It's a given; cherry-picking examples doesn't prove your case.
Well, no, the ratio is most definitely not 1-to-1.
MRNA vaccines. Where are the countless breathless articles about these literal life saving tech? A few, maybe, but very few dudes pumping out asinine "white papers" and trying to ride the hype train.
Solar and battery. Again, lots of real world impact but remarkably few unhinged blowhards writing endless newsletters about how this changes everything.
I'm struggling to think of a tech from the last 20 years which has lived up to its hype.
Not everything is written to be insightful. Some things are just written to get them out of my head.
Do feel AI is overall just hype? When did you last try AI tools and what about their use made you conclude they will likely be forgotten or ignored by the mainstream?
It was an hour of pasting in error messages and getting back "Aha! Here's the final change you need to make!"
Underwhelming doesn't even begin to describe it.
But, even if I'm wrong, we were told that COBOL would make programming redundant. Then UML was going to accelerate development. Visual programming would mean no more mistakes.
All of them are in the coding mix somewhere, and I suspect LLMs will be.
> Not everything is written to be insightful. Some things are just written to get them out of my head.
I like that, going to use it as the motivation to get some things out of my own head.
This only doesn't feel like substantiation if you reject the notion that these cases are analogous.
"You shouldn't eat that."
"Why not?"
"Everyone else who's eaten it has either died or gotten really sick."
"But I'm different! Why should I listen to your unsubstantiated claims?"
"(lists names of prior victims)"
"That doesn't mean anything. I'm different. You're just making vague and dismissive unsubstantiated claims."
The claim isn't "AI bad" the claim is more along the lines of "there's a lot of money changing hands and this has all the earmarks of a classic hype cycle; while attention/diffusion models may amount to something the claims of their societal impacts are almost certainly being exaggerated by people with a financial stake in keeping the bubble inflated as long as possible, to pull in as many suckers as possible."
If you want another example (which you won't find analogous if you've already drunk the koolaid):
https://theblundervault.substack.com/p/the-segway-delusion-w...
Also, every single close friend of mine makes some use of LLMs, while none of them used any the overhyped technologies listed. So you need a specially strong argument to group them together.
But like all the previous hype, most of the people that were the loudest won't say they were wrong, and they'll move to the next thing, pretending like they never were the one that portrayed AI as the holy Graal.
Umm, what? For the past 3 years, every year I've said something along the lines of "even if models stop improving now, we'll be working on this for years, finding new ways to use it and make cool stuff happen". The hype is already warranted. To have used these tools and not be hyped is simply denial at this point.
Most of Mag-7 are planning to spend over 500B on capex this year alone on building out datacenters for AI pipelines that have yet to prove that it can generate a sustainable profit. Yes, AI is useful in some environments, but the current pricing is heavily subsidized. So my point stand, the hype is not warranted.
Internet - this time is different
iPhone - this time is different
ChrisMarshallNY•1h ago
Love the Sir Terry reference.
javawizard•1h ago
Similarly to how titles that start with "how" usually have that word automatically removed.
some_furry•37m ago
wlesieutre•33m ago