I feel like since that’s a very useful product it will not be made available to me.
I want said AI to be open source and run locally on my computer
It’s getting there. In the next few years as hardware gets better and models get more efficient we’ll be able to run these systems entirely locally.
I’m already doing it, but I have some higher end hardware.
Stable diffusion SXDL Turbo model running in Automatic1111 for image generation.
Ollama with Ollama-webui for an LLM. I like the Solar:7b model. It’s lightweight, fast, and gives really good results.
I have some beefy hardware that I run it on, but it’s not necessary to have.
Depends on what AI you’re looking for. I don’t know of an LLM (a language model,think chatgpt) that works decently on personal hardware, but I also haven’t really looked. For art generation though, look up automatic1111 installation instructions for stable diffusion. If you have a decent GPU (I was running it on a 1060 slowly til I upgraded) it’s a simple enough process to get started, there’s tons of info online about it, and it’s all run on local hardware.
I can run a pretty alright text generation model and the stable diffusion models on my 2016 laptop with two GTX1080m cards. You can try with these tools: Oobabooga textgenUi
Automatic1111 image generation
They might not be the most performant applications but they are very easy to use.
Just read it again and you’re right. But maybe someone else finds it useful.
Because like every other app on smartphones it’ll require an external server to do all of the processing
Yeah if your willing to carry a brick or at least a power bank (brick) if you don’t want it to constantly overheat or deal with 2-3 hours of battery life. There’s only so much copper can take and there are limits to minaturization.
It’s not like that though. Newer phones are going to have dedicated hardware for processing neural platforms, LLMs, and other generative tools. The dedicated hardware will make these processes just barely sip the battery life.
Ha. Lame.
Edit: lol. Sign out of Google, nerds. Bring me your hypocrite neckbeard downvotes.
Reckless disregard for the opinions of the fanatically security and privacy conscious? Or just a good-natured appreciation for pissing people off? :)
We really need to stop calling things “AI” like it’s an algorithm. There’s image recognition, collective intelligence, neural networks, path finding, and pattern recognition, sure, and they’ve all been called AI, but functionally they have almost nothing to do with each other.
For computer scientists this year has been a sonofabitch to communicate through.
But “AI” is the umbrella term for all of them. What you said is the equivalent of saying:
we really need to stop calling things “vehicles”. There’s cars, trucks, airplanes, submarines, and space shuttles and they’ve all been called vehicles, but functionally they have almost nothing to do with each other
All of the things you’ve mentioned are correctly referred to as AI, and since most people do not understand the nuances of neural networks vs hard coded algorithms (and anything in-between), AI is an acceptable term for something that demonstrates results that comes about from a computer “thinking” and making shaved intelligent decisions.
Btw, just about every image recognition system out there is a neural network itself or has a neural network in the processing chain.
Edit: fixed an autocorrect typo
No. No AI is NOT the umbrella term for all of them.
No computer scientist will ever genuinely call basic algorithmic tasks “AI”. Stop saying things you literally do not know.
We are not talking about what what the word means to normies colloquially. We’re talking about what it actually means. The entire point it is a separate term from those other things.
Engineers would REALLY appreciate it if marketing morons would stop misapplying terminology just to make something sound cooler… NONE of those things are “AI”. That’s the fucking point. Marketing gimmicks should not get to choose our terms. (as much as they still do)
If I pull up to your house on a bicycle and tell you, “quickly, get in my vehicle so I can drive us to the store.” You SHOULD look at that person weirdly: They’re treating a bicycle like it’s a car capable of getting on the freeway with passengers.
What I’ve learned as a huge nerd is that people will take a term and use it as an umbrella term for shit and they’re always incorrect but there’s never any point in correcting the use because that’s the way the collective has decided words work and it’s how they will work.
Now the collective has decided that AI is an umbrella term for executing “more complex tasks” which we cannot understand the technical workings of but need to get done.
No computer scientist will ever genuinely call basic algorithmic tasks “AI”. Stop saying things you literally do not know.
Speak for yourself. Many of us fought that battle literally years ago and then accepted reality and moved on with our lives. Show me an actual computer scientist still hung up on this little bit of not-so-new-anymore language and I’ll show you a dying curmudgeon who has let the world pass them by. We frequently use AI to refer to these technologies that we have today and we’ve started to use more descriptive language such as post-singularity AI or Artificial General Intelligence (AGI).
Calm down , language is fluid, you may not like it, but if enough people start using it as an umbrella term, that is what it’s colloquially and eventually officially going to be soon. You can’t expect to have such hard set rules this early on in the technology, it’s foolish
Xerox, Velcro, and Google agree with you. To bad the general public doesn’t.
Extra song from Velcro here that agrees with what you’re saying
Yeah, and these days “literally” means “figuratively” whether I like it or not. Find a different hill to die on.
That’s just like your opinion, man - The Dude
You’re smart right? So, who’s there more of, normies or computer scientists? Just make the tech, if that really is what you do, but marketing and the masses are always going to decide what we call stuff not some cartoonist engineer.
While this is true, I think of AI in the sci fi sense of a programmed machine intelligence rivaling human problem solving, communication, and opinion forming. Everything else to me is ML.
But like Turing thought, how can we really tell the difference
Turing’s question wasn’t a philosophical one. It was a literal one, that he tried to answer.
What the person said is NOT true. Nobody like Turing would EVER call those things AI, because they are very specifically NOT any form of “intelligence”. Fooling a layman in to mislabeling something is not the same as developing the actual thing that’d pass a Turing test.
What you’re referring to in movies is properly known as Artificial General Intelligence (AGI).
AI is correctly applied to systems that process in a “biologically similar” fashion. Basically something a human or “smart” animal could do. Things like object detection, natural language processing, facial recognition, etc, are things you can’t program (there’s more to facial recognition, but I’m simplifying for this discussion) and they need to be trained via a neural network. And that process is remarkably similar to how biological systems learn and work.
Machine learning, on the other hand, are processes that are intelligent but are not intrinsically “human”. A good example is song recommendations. The more often you listen to a genre of music, the more likely you are to enjoy other songs in that genre. So a system can count the number of songs you listen to the most in a specific genre, and then recommend that genre more than others. Fairly straightforward to program and doesn’t require any training, yet it gets better the more you use it.
I didn’t steal anything. When I posted my comment there were only two other comments in the whole thread.
You’re right, but so is the previous poster. Actual AI doesn’t exist yet, and when/if it does it’s going to confuse the hell out of people who don’t get the hype over something we’ve had for years.
But calling things like machine learning algorithms “AI” definitely isn’t going away… we’ll probably just end up making a new term for it when it actually becomes a thing… “Digital Intelligence” or something. /shrug.
It isn’t human-level, but you could argue it’s still intelligence of a sort, just erstatz
This problem was kinda solved by adding AGI term meaning “AI but not what is now AI, what we imagined AI to be”
Not going to say that this helps with confusion much 😅 and to be fair, stuff like autocomplete in office soft was called AI long time ago but it was far from LLMs of now
Computer vision is AI. If they literally want a robot eye to scan their cluttered pantry and figure out what is there, that’ll require some hefty neural net.
Edit: seeing these downvotes and surprised at the tech illiteracy on lemmy. I thought this was a better informed community. Look for computer vision papers in CVPR, IJCNN, and AAAI and try to tell me that being able to understand the 3D world isn’t AI.
You’re very wrong.
Computer vision is scanning the differentials of an image and determining the statistical likelihood of two three-dimensional objects being the same base mesh from a different angle, then making a boolean decision on it. It requires a database, not a neutral net, though sometimes they are used.
A neutral net is a tool used to compare an input sequence to previous reinforced sequences and determine a likely ideal output sequence based on its training. It can be applied, carefully, for computer vision. It usually actually isn’t to any significant extent; we were identifying faces from camera footage back in the 90s with no such element in sight. Computer vision is about differential geometry.
Computer vision deals with how computers can gain high level understanding of images and videos. It involves much more than just object reconstruction. And more importantly, neural networks are a core component is just about any computer vision application since deep learning took off in the 2010s. Most computer vision is powered by some convolutional neural network or another.
Your comment contains several misconceptions and overlooks the critical role of neural networks, particularly CNNs, which are fundamental to most contemporary computer vision applications.
I imagine it’s because all of these technologies combine to make a sci-fi-esque computer assistant that talks to you, and most pop culture depictions of AI are just computer assistants that talk to you. The language already existed before the technology, it already took root before we got the chance to call it anything else.
Shouldn’t there be a catch all term to explain the broader scope of the specifics?
Science is a broad term for multiple different studies, vehicle is a broad term for cars and trucks.
Glorified chatbots. Tops. But definitely not something with any kind of intelligence.
Language is fluid, and there is plenty of terminology that is dumb or imprecise to someone in the field, but A-ok to the wider populace. “Cloud” is also not actually a formation of water droplets, but someone’s else’s datacenter, but to some people the cloud is everything from Gmail to AWS.
If I say AI today and most people associate the same thing with it (these days that usually means generative AI , i.e. mostly diffusion or transformer models) then that’s fine for me. Call it Plumbus for all I care.
The bad news is the AI they’ll pay for will instead estimate your net worth and the highest price you’re likely to pay. They’ll then dynamicly change the price of things like groceries to make sure the price they’re charging will maximize their profits on any given day. That’s the AI you’re going to get.
If capitalism brought me into this world, will it also take me out of it?
That is the “apps” you will get. But there will always be an open source version that will do what the comunity need and wants.
Next, she’s going to want a Libre AI that does not share her information with third parties or suggest unnecessary changes to make her spend more at sponsored businesses.
