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Congress Wants Tech Companies to Pay Up for AI Training Data
(www.wired.com)
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this post was submitted on 11 Jan 2024
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“What would that even look like?” asks Sarah Kreps, who directs the Tech Policy Institute at Cornell University. “Requiring licensing data will be impractical, favor the big firms like OpenAI and Microsoft that have the resources to pay for these licenses, and create enormous costs for startup AI firms that could diversify the marketplace and guard against hegemonic domination and potential antitrust behavior of the big firms.”
As our economy becomes more and more driven by AI, legislation like this will guarantee Microsoft and Google get to own it.
Yes, and they'll use legislation to pull up the ladder behind them. It's a form of Regulatory Capture, and it will absolutely lock out small players.
But there are open source AI training datasets, but the question is whether LLMs can be trained as accurately with them.
These open datasets are used to fine-tune LLMs for specific tasks. But first, LLMS have to learn the basics by being trained on vast amounts of text. At present, there is no chance to do that with open source.
If fair use is cut down, you can forget about it. It would arguably be unconstitutional, though.
That's not even considering the dystopian wishes to expand copyright even further. Some people demand that the model owner should also own the output. Well, some of these open datasets are made with LLMs like ChatGPT.
It's not a case of cutting down fair use. It's a case 9f enforcing current fair use limits.
Can you give an example of something that is outside fair use?
Just in case, there is confusion here: Obviously there is no past precedent on exactly the new circumstances, but that does not put new technologies outside the law. EG the freedom of speech and the press apply to the internet, even though there is no printing press involved.