AI is here to stay but I can't wait to see it get past the point where every app has to have their own AI shoehorned in regardless of what the app is. Sick of it.
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I think they'll be on this for a while, since unlike NFTs this is actually useful tech. (Though not in every field yet, certainly.)
There are going to be some sub-fads related to GPUs and AI that the tech industry will jump on next. All this is speculation:
- Floating point operations will be replaced by highly-quantized integer math, which is much faster and more efficient, and almost as accurate. There will be some buzzword like "quantization" that will be thrown out to the general public. Recall "blast processing" for the Sega. It will be the downfall of NVIDIA, and for a few months the reduced power consumption will cause AI companies to clamor over being green.
- (The marketing of) personal AI assistants (to help with everyday tasks, rather than just queries and media generation) will become huge; this scenario predicts 2026 or so.
- You can bet that tech will find ways to deprive us of ownership over our devices and software; hard drives will get smaller to force users to use the cloud more. (This will have another buzzword.)
I genuinely find LLMs to be helpful with a wide variety of tasks. I have never once found an NFT to be useful.
Here's a random little example: I took a photo of my bookcase, with about 200 books on it, and had my LLM make a spreadsheet of all the books with their title, author, date of publication, cover art image, and estimated price. I then used this spreadsheet to mass upload them to Facebook Marketplace in bulk. In about 20 minutes I had over 200 facebook ads posted for every one of my books. I also had it use some marketing psychology to write attractive descriptions for the ads.
The way it writes marketing copy is absolutely perfect. It was so formulaic to begin with.
NFT’s are extremely useful, but not as some pseudo ownership of a meme….
the real use case of NFT’s is stuff like property deeds, or car titles, etc… normally owning property requires you register with some central authority… and of course they can take it from you….
this allows for decentralized ownership… and a truer ownership as nobody could force you to transfer your nft (unless they have a gun pointed at you).
….
then along came the grifters and now everyone thinks that NFT’s mean a picture of a cool monkey with sunglasses and a cigarette…
100%, it's just a smart contract on a blockchain that can have multiple keys and logic as to who can add or unlock or withdraw funds at what times.. (like if you have a 6 person org and a transaction requires the key signatures of 3 people to also trigger the action for example.) The possibilities are endless. NFTs, however, were hijacked by retards.
i wish we had another word like retard that didn’t hurt mentally retarded people and their families and friends….
but, absolutely… or really hijacked by fairly smart people who then conned a bunch of dumb people in more or less a pyramid scheme….
and now everyone knows of them but nobody knows what they are.
In this thread: people doing the exact opposite of what they do seemingly everywhere else and ignoring the title to respond to the post.
Figuring out what the next big thing will be is obviously hard or investing would be so easy as to be cheap.
I feel like a lot of what has been exploding has been ideas someone had a long time ago that are just becoming easier and given more PR. 3D printing was invented in the '80s but had to wait for computation and cost reduction. The idea that would become neural network for AI is from the '50s, and was toyed with repeatedly over the years but ultimately the big breakthrough was just that computing became cheap enough to run massive server farms. AR stems back to the 60s and gets trotted out slightly better each generation or so, but it was just tech getting smaller that made it more viable. What other theoretical ideas from the last century could now be done for a much lower price?
One of the major breakthroughs wasn't just compute hardware, it was things like the "Attention Is All You Need" whitepaper that spawned all the latest LLMs and multi-modal models (video generation, music generation, classification, sentiment analysis, etc etc.) So there has been an insane amount of improvement on the whole neural network architectures themselves. (LSTM, Transformers, recurrent neural nets, convolutional neural nets, etc.) RNN's were 1972, LSTMs only came out in 1999 come to find out.
2009-2011 was when we got good image recognition. Transformers started after the Attention whitepaper in 2017. Now the models are improving themselves at this point, singularity is heading our way pretty quickly.
singularity is heading our way pretty quickly.
What does that mean exactly? What does a post singularity world actually look like because every single example of a post-singularity world I've ever seen depicted always assumes it'll happen hundreds of years in the future after other technology has been invented.
I'm waiting for the cheap graphic cards
best i can do is burnt out, abused, used graphics cards being sold as “almost new”
I remember trying to investigate using crypto as a replacement for international bank transfers. The gas fees were much larger than the greatly inflated fee my bank was charging. Another time, I used crypto to donate to a hacker I liked the work of. I realized the crypto transfer was actually more traceable when accounting for know your customer laws and the public ledger. That was when I realized crypto was truly useless. AI is mildly useful when coding, to point me to packages I wouldn't have heard of, provide straightforward examples. That's the only time I use it. The tech industry and investor class are desperate for it to be the next world-changing thing which is leading them to slap it on everything. That will eventually wear off.
Optimistic scenario: 5 years from now (if there isn't another major breakthrough in AI technology and we can extrapolate from current trends instead), we'll all have a much clearer understanding of the things AI is useful for and what it's not very good at; or, what people want it for, and what people don't want it for. The tech industry will concentrate on marketing the profitable uses. In other words, the magic✨ will wear off, but not homogenously across different use cases.
I think another field where AI works is video (and photo? never tried it) upscaling. I can take a 1080p movie and upscale it to 4k, after that it is truly a much better experience when I view it of oculus
The AI hype will pass but AI is here to stay. Current models already allow us to automate processes which were impossible to automate just a few years ago. Here are some examples:
- Detecting anomalies in roentgen and CT-scans
- Normalizing unstructured information
- Information distribution in organizations
- Learning platforms
- Stock photos
- Modelling
- Animation
Note, these are obvious applications.
AI is now a catch-all acronym that is becoming meaningless. The old, conventional light switch on the wall of the house I first lived in some 70 years ago could be classified as 'AI. The switch makes a decision, based on what position I put it in. I turn the light on, it remembers that decision and stays on. The thing is, the decision was first made by me and the switch carried out that decision, based on criteria that was designed into it.
That is, AI still does not make any decision that humans have not designed it to make in the first place.
What is needed, is a more appropriate terminology, describing the actual process of what we call AI. And really, the more appropriate descriptor would not be Artificial Intelligence, but Human-made Intelligent devices. All of these so-called AI devices and applications are, after all, completely human designed and human made. The originating Intelligence still comes from the minds of humans.
Most of the applications which we call Artificial Intelligence are actually Algorithmic Intelligence - decisions made based on algorithms designed by humans in the first place. The devices just follow these algorithms. Since humans have written these algorithms, it should really be no surprise that these devices are making decisions very similar to the decisions humans would make. Duhhh. We made them in our own image, no wonder they 'think' like us.
Really, these AI devices do not make decisions, they merely follow the decisions humans first designed into them.
Big Blue, the IBM chess playing computer, plays excellent chess because humans designed it to play chess, and to make chess decisions, based on how humans first designed the chess game.
What would be really scarry would be if Big Blue decided of its own volition that it no longer wanted to play chess, but it wanted to play a game it designed.
Guesses at next tech bro stuff (some already in the wild) unfortunately, we're not done with AI yet
AI Teachers and Tutors
Full AI video commercials.
3D AI experiences in VR.
AI medical diagnosis for both consumer and insurance
AI pricing for insurance
AI shopping assistants, clothes, styling, decorating
AI mid-level management to rat out on people not working 60hrs a week.
You know what pisses me off?
My so-called creative peers generating AI slop images to go with the music that they are producing.
I’m pretty sure they’d be up in arms if they found out that an AI produced tune got to the top 10 on Beatport.
One of the more popular AI movements right now is DJs creating themselves as action figures.
The hypocrisy is hilarious.
OP here to clarify: With AI Hype Train I meant the fact that so many people are slapping AI onto anything just to make it sound cool like at this point I wouldn't be surprised if a bidet company slapped AI into one of their bidets...
I'm not saying AI is gonna go anywhere or doesn't have legitimate uses but currently there is money in AI and everybody wants to get AI into their things to be cool & capitalize on the hype:
Same thing with NFT's and blockchains. The technology behind it has it's legitimate uses but not everyone is slapping it onto things like a few years ago just to make fast bank.