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Test_Tickles ,

I don’t currently have a computer powerful enough to host a top tier LLM like chatgpt4. If I can’t even run it, I sure as shit could never continue to train it with new data. I often use chatgpt with my phone and the thought of doing either one is ridiculous.
There are ways to make money on open source outside of the open source item itself. Redhat has done just that with Linux.
An LLM is just software. No matter what algorithm, tool, or fairy magic was used to amalgamate the data it consumed, they all sucked in open source code and just like any other software that includes open source software, it should be subject to the licensing on the open source software, which pretty much means they should be open source themselves. Companies that want to make money off of AI trained on public data can make their money on the value they add, just like redhat.
The biggest issue I see right now is how to deal with AIs tendency to output data untransformed. Trademark and all those types of licenses are negated as long as the idea within is transformed, but it is really hard to argue transformation when the stupid thing is pooping out word for word quotes, but acting as if it is “new” and transformed.

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