Surprised pikachu face
So what exactly is open about their ai
It’s called OpenAI because they are open to stealing content to train their AI
“I made this!”
You made this?
…I made this!
Except in the AI version it has the wrong number of fingers, and the text is spelled wrong.
I just used ChatGPT to copy this, so I’m sorry fellas, but actually now I made this.
Can’t argue with objective truth
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It’s criminal they’re keeping the name OpenAI
reminder, there are localy ran LLMs. Right now is a vital time for open source to fight against closed source in the AI arms race.
Another good resource to help people find models https://llm.extractum.io
Or just straight up install https://ollama.com
I like Ollama, and recommend it to tinker, but I admit this “LLM Explorer” is quite neat thanks to sections like “LLMs Fit 16GB VRAM”
Ollama just works but it doesn’t help to pick which model best fits your needs.
pick which model best fits your needs.
What is the need I have to put the effort in to install all this locally. Websites win in terms of convenience.
I want to work on my stuff in peace and in private without worrying about a company grabbing my stuff and using it for themselves and to give/sell it to other outfits, including the government. “If you have nothing to hide…” is bullshit and needs to die.
Good point. Everything you feed into chatgpt is stored for future reference.
I don’t think I understand your point, are you saying there is no benefit in running locally and that Websites or APIs are more convenient?
I already have stable diffusion on a local machine. I was trying to find motivation to install a LLM locally. You answered my question in a different response
use cases where customization helps while quality does matter much due to scale, i.e spam, then LLMs and related tools are amazing.
At the same time, the trouble with local LLMs is that they’re very resource heavy. Your average household computer isn’t going to be able to run one with much usability or speed.
Phi 3 can run on pretty low specs (requires 4gb RAM) and has relatively good output
it’s a lot slower that chatgpt but on my integrated graphics i7 laptop it ran decent, def enough to be useable. Also there’s different models to play around with, some are faster but worse and some are smarter but slower
Okay but what problem does that solve? Is the solution setting up our own spambots to fill forums with arguments counter to their bullshit spambots? I don’t see how an LLM improves literally anything ever in any circumstance.
You seem unnecessarily hostile about this. If you don’t like LLM just move on.
This is exactly why this sub about technology is better off without business news. You’re just reacting to something you hate and directing that at others.
But answer the question maybe
Also, my “hate” was very clearly directed towards LLMs and not a “person”.
FWIW I did try a lot (LLMs, code, generative AI for images, 3D models) in a lot of ways (CLI, Web based, chat bot) both locally and using APIs.
I don’t use any on a daily basis. I find it exciting that we can theoretically do a lot “more” automatically but… so far the results have not been worth the efforts. Sadly some of the best use cases are exactly what you highlighted, i.e low effort engagement for spam. Overall I find that either working with a professional (script writer, 3D modeler, dev, designer, etc) is a lot more rewarding but also more efficient which itself makes it cheaper.
For use cases where customization helps while quality does matter much due to scale, i.e spam, then LLMs and related tools are amazing.
PS: I’d love to hear the opinion of a spammer actually, maybe they also think it’s not that efficient either.
I have personally found generative-text LLMs quite good for creating titles. As an example, I have a few hundred tweets that I’m trying to put into a file, and I’ll use an LLM to create a human-readable name for them. It’s much better than a lot of the other summarisation mechanisms (like BERT) I’ve tried with it, but it’s still not perfect, because the model tends to output the same thing in slightly different words each time, so repeat runs will often result in the same thing with a different title.
But, that is also a fairly limited use case.
The fact that Silicon Valley interests effortlessly shrugged off the non-profit board’s attempt to hit the kill switch last year, and now are preparing to take the company commercial despite the deliberate design otherwise, becomes much more interesting when you consider the theory that corporations are a form of artificial superintelligence.
If the AI idealists can’t stand up to basic forces of capitalism, how do they expect to control an actually dangerous AGI?
You give them far too much credit to assume this specific company will ever achieve anything even close to AGI.
We don’t know what they aren’t showing us. GPT was only one strand of research
If the AI idealists can’t stand up to basic forces of capitalism, how do they expect to control an actually dangerous AGI?
My guess is they don’t expect to. I guess that that is one of the reasons they seem to not care about out of control climate change; burn it all down before it all literally burns down.
Step 1. Make an AI that hoovers up content.
Step 2. When owners of content complain about privacy violations and copyright infringement, allay their fears. This AI is for the Good of Humanity.
Step 3. ???
Step 4. Profit.
OpenAI: It’s not fair to charge us to use copywriten works.
Also OpenAI: Also you have to pay us for using them.
copyrighted*
… To the surprise of absolutely nobody
Actually I have a question and I admit knowing nothing of the legal framework here but…
Isn’t it absolutely ridiculous that a not-for-profit entity can exists solely for the purpose of developing a closed-source piece of software, demand to train it for free off copyrighted material, just to switch to a for-profit entity??
Sound 100% like tax avoidance. Like me registering a charity so I can throw a mega concert/party privately, secure preferencial treatment on supplies, get discounts on artists or even free performance and then switch to for profit as I start selling tickets
Originally all their work was supposed to be published and shared with the world, hence the “open” in OpenAI. However somewhere along the way they made a for-profit break off of the original company and started pulling everything in that direction.
Wild for a company that’s never made a profit
These companies do not make profit in paper but have already made millions for others.
It’s all smoke and mirrors
As Ed said, Sam Altman has been a plague.
Just want to point out that it absolutely is possible to train an AI that will keep track of its sources for inspiration and can attribute those when it makes a response.
Meaning creators could be compensated for their parts of AI generated stuff, if anyone wanted to.
I think that there are some people working on this, and a few groups that have claimed to do it, but I’m not aware of any that actually meet the description you gave. Can you cite a paper or give a link of some sort?
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Surely they will be sued into oblivion if they tried right? Them being non profit was the main pillar holding up their defense for scraping the web into datasets.
Much open, very organic, very demure, so mindful.
… They weren’t before?
Yeah, they weren’t as synergized. Now they’re coordinating with key stakeholders to maximize the efficiency of their aggressive roadmap. Or something, I kinda suck at business jargon.
This is what Ilya saw…
The article could be from 2022 and I’d be as unsurprised as I am now.
