The point that was being made was that public available data includes a whole lot amount of copyrighted data to begin with and its pretty much impossible to filter it out. Grand example, the Eiffel tower in Paris is not copyright protected, but the lights on it are so you can only using pictures of the Eiffel tower during the day, if the picture itself isn’t copyright protected by the original photographer. Copyright law has all these complex caveat and exception that make it impossible to tell in glance whether or not it is protected.
This in turn means, if AI cannot legally train on copyrighted materials it finds online without paying huge sums of money then effectively only mega corporation who can pay copyright fines as cost of business will be able to afford training decent AI.
The only other option to produce any ai of such type is a very narrow curated set of known materials with a public use license but that is not going to get you anything competent on its own.
EDIT: In case it isn’t clear i am clarifying what i understood from Grimy@lemmy.world comment, not adding to it.
So then we as a society aren’t ready to untangle the mess of our infancy in the digital age. ChatGPT isn’t something we must have at all costs, it’s something we should have when we can deploy it while still respecting the rights of people who have made the content being used to train it.
I would go even further and say that we should have it until we can be sure it will respect others’ rights. All kind of rights, not only Copyright. Unlike Bing at the beginning, with all it’s bullying and menaces, or Chatgpt regurgitating private information gathered from God knows where.
The problem with waiting is the arms race with other governments. I feel it’s similar to fossil fuels, but all governments need to take the risk of being disadvantaged. Damned prisoner’s dilemma.
I didn’t want any of this shit. IDGAF if we don’t have AI. I’m still not sure the internet actually improved anything, let alone what the benefits of AI are supposed to be.
Machine learning techniques are often thought of as fancy function approximation tools (i.e. for regression and classification problems). They are tools that receive a set of values and spit out some discrete or possibly continuous prediction value.
One use case is that there are a lot of really hard+important problems within CS that we can’t solve efficiently exactly (lookup TSP, SOP, SAT and so on) but that we can solve using heuristics or approximations in reasonable time. Often the accuracy of the heuristic even determines the efficiency of our solution.
Additionally, sometimes we want predictions for other reasons. For example, software that relies on user preference, that predicts home values, that predicts the safety of an engineering plan, that predicts the likelihood that a person has cancer, that predicts the likelihood that an object in a video frame is a human etc.
These tools have legitamite and important use cases it’s just that a lot of the hype now is centered around the dumbest possible uses and a bunch of idiots trying to make money regardless of any associated ethical concerns or consequences.
It doesn’t matter what you want. What matters is if corporations can extract $ from you, gain an efficiency, or cut their workforce using it.
That’s what the drive for AI is all about.
It’s not like all this data was randomly dumped at the AIs. For data sets to serve as good training materials they need contextual information so that the AI can discern patterns and replicate them when prompted.
We see this when you can literally prompt AIs with whose style you want it to emulate. Meaning that the data it was fed had such information.
Midjourney is facing extra backlash from artists after a spreadsheet was leaked containing a list of artist styles their AI was trained on. Meaning they can keep track of it and they trained the AI with those artists’ works deliberately. They simply pretend this is impossible to figure out so that they might not be liable to seek permission and compensate the artists whose works were used.
That’s insane logic…
Like you’re essentially saying I can copy/paste any article without a paywall to my own blog and sell adspace on it…
And your still saying OpenAI is trying to make AI companies pay?
Like, do you think AI runs off free cloud services? The hardware is insanely expensive.
And OpenAI is trying to argue the opposite, that AI companies shouldn’t have to pay to use copyrighted works.
You have zero idea what is going on, but you are really confident you do
I clarified the comment above which was misunderstood, whether it makes a moral/sane argument is subjective and i am not covering that.
I am not sure why you think there is a claim that openAI is trying to make companies pay, on the contrary the comment i was clarifying (so not my opinion/words) states that openAI is making an argument that anyone should be able to use copyrighted materials for free to train AI.
The costs of running an online service like chatgpt is wildly besides the argument presented. You can run your own open source large language models at home about as well as you can run Bethesda’s Starfield on a same spec’d PC
Those Open source large language models are trained on the same collections of data including copyrighted data.
The logic being used here is:
If It becomes globally forbidden to train AI with copyrighted materials or there is a large price or fine in order to use them for training then the Non-Corporate, Free, Open Source Side of AI will perish or have to go underground while to the For-Profit mega corporations will continue exploit and train ai as usual because they can pay to settle in court.
The Ethical dilemma as i understand it is:
Allowing Ai to train for free is a direct threat towards creatives and a win for BigProfit Enthertainment, not allowing it to train to free is treat to public democratic AI and a win for BigTech merging with BigCrime
Allowing Ai to train for free is a direct threat towards creatives
No. Many creatives fear that AI allows anyone to do what they do, lowering the skill premium they can charge. That doesn’t depend on free training.
Some seem to feel that paying for training will delay AI deployment for some years, allowing the good times to continue (until they retire or die?)
But afterward, you have to ask who’s paying for the extra cost when AI is a normal tool for creatives? Where does the money come from to pay the rent to property owners? Obviously the general public will pay a part through higher prices. But I think creatives may bear the brunt, because it’s the tools of their trade that are more expensive and I don’t think all of that cost can be passed on.
That is very well put, I really wish I could have started with that.
Though I envision it as a loss for BigProfit Enthertainment since I see this as a real boon for the indie gaming, animation and eventually filmmaking industry.
It’s definitely overall quite a messy situation.
You can run your own open source large language models at home about as well as you can run Bethesda’s Starfield on a same spec’d PC
…
Yes, you can download an executable of a chatbot lol.
That’s different than running something remotely like even OpenAI.
The more it has to reference, the more the system scales up. Not just storage, but everything else.
Like, in your example of video games it would be more like stripping down a PS5 game of all the assets, then playing it on a NES at 1 frame per five minutes.
You’re not only wildly overestimating chatbots ability, you’re doing that while drastically underestimating the resources needed.
Edit:
I think you literally don’t know what people are talking about…
Do you think people are talking about AI image generators?
No one else is…
