And another complication is that OpenAI is not exposing any static data. A response is generated only after prompting. I'd argue that LLMs are closer to calculators than databses in function. The amount of new information that can be added is also limited, it's is not a continuous learning/training architecture.
I do hope this leads to more clear laws regarding data privacy, but I can't imagine the allegations of "intercepting communications", violating CFAA, or violating unfair competition law will hold.
To put it another way, it's legal for me to go to the library and borrow a DVD or a book or poems. That doesn't give me the right to publish the poems again under my own name. Whether I find the poems from scraping, borrowing the book from a library, or even just reading it off of a wall I don't get ownership rights to that data.
The same logic applies to a lot of other laws around data. If you collect data on individuals there are a bunch of laws that come up around it, and many of them don't really concern themselves with how you got the data so much as how you use it. The fact that it was scraped doesn't grant any special legal rights.
You keep making the claim that because it was scraped people can do whatever they want, as scraping is legal. That is the only thing I'm arguing against, because that is a gross misinterpretation of how the case that made scraping legal was decided. LLMs aren't relevant to that point (which is exactly what I keep saying- the method of collection doesn't magically change the legality of it).
That being said, you're still wrong. The USPO has said that the output of LLMs are the outputs of algorithms and are not creative works. Therefore you can't "own the copyright to the new work you make" because the work itself can't be copyrighted at all. No one can own the output of an LLM.
Also, just because it seems you want to be wrong on every level, it is absolutely possible that a neural network would be able to repeat data from its training set. This is an incredibly known problem in the field.
https://www.bloomberglaw.com/external/document/XDDQ1PNK00000...
That doesn't mean you grant a license to produce derivative works other than search indexes. Legally, it's different. (Germany codifies these as separate "moral rights": Urheberpersönlichkeitsrecht.)
* Was it published publicly? This is basically defined in the courts as "if you make an unauthenticated web request does the data return?". This is where scraping comes in- if you make the data available without authentication you can't enforce your TOS, because you can't validate that people actually even accepted the TOS to begin with.
* Is the data able to be copyrighted? This is where things are interesting- facts can not be copyrighted, which is why a lot of scrapers are able to reuse data (things like weather, sports scores, even "for hire" notices can be considered factual).
* If it would typically be considered covered by copyright, does fair use come into play?
* Are there any other laws that come into play? For example, GDPR, CCPA, or other privacy laws can still add restrictions to how data is collected and used (this is complicated by the various jurisdictions as well)
* Was the work done with the data transformative enough to allow it to bypass copyright protections? This goes back to when Google was scanning books. Because they were making a search engine, not a library, their search tool was considered transformative enough to allow them to continue.
It's not enough to say "because it's on the internet, it's fair game for everyone to use". This is a really complicated area where things are evolving rapidly, and there's a lot of intersecting law (and case law) that comes into play.