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> more a topic of plagiarism than copyright You’re right, in the context of a technical legal interpretation they’re different. In the context of right or wron

by isodev 1y ago

> more a topic of plagiarism than copyright You’re right, in the context of a technical legal interpretation they’re different. In the context of right or wrong, they amount to the same. > anyone who studies GCC internals LLMs are not a someone, they’re more like … the indigo printout of some text or design, you then use to make a scrapbook to be mass produced for profit. Very different situation. When the AI bubble pops, I hope we will have some equalisation back to something more ethical.

tjr 1y ago
LLMs are not a someone This is in line with my disagreement over the fair use rulings. Most people who published works that have been used to train AI systems, created those works and published them for other people to consume and benefit from, not for proprietary software systems to consume and benefit from. The existing licenses and laws did not account for this; nobody was anticipating it.
fluidcruft 1y ago
I don't know... there's a pretty clear difference between copyright and a say a utility patent or trade secret. The right and wrong in FSF isn't about labor, it's about control over machines and ability to modify. Free software has never tried to control the community using patents and trade secrets and in general are rather hostile to them. In fact its fairly contemptuous of copyright and uses it from a purely utilitarian perspective. And frankly FSF is not opposed to commercial software. They're opposed to users being unable to modify machines and software that they are using. That's the core of the ethics. See the origins in that damn printer firmware RMS did battle with. But I also disagree in general about LLMs. LLMs are statistical text models but the general concept of what if there were an "AI" that wasn't a LLM and was trained on open source software is the same at the end of the day. I think whether or not LLM are intelligent or equivalent to humans is a red herring. There's no reason to not consider the implications of machines that are indistinguishable or even superior to human programmers. Particularly if we're discussing ethics getting lost in implementation details seems like a distraction and then all the derived ethics gets thrown out after the next innovation.

by isodev 1y ago

tjr 1y ago

LLMs are not a someone This is in line with my disagreement over the fair use rulings. Most people who published works that have been used to train AI systems, created those works and published them for other people to consume and benefit from, not for proprietary software systems to consume and benefit from. The existing licenses and laws did not account for this; nobody was anticipating it.

fluidcruft 1y ago

I don't know... there's a pretty clear difference between copyright and a say a utility patent or trade secret. The right and wrong in FSF isn't about labor, it's about control over machines and ability to modify. Free software has never tried to control the community using patents and trade secrets and in general are rather hostile to them. In fact its fairly contemptuous of copyright and uses it from a purely utilitarian perspective. And frankly FSF is not opposed to commercial software. They're opposed to users being unable to modify machines and software that they are using. That's the core of the ethics. See the origins in that damn printer firmware RMS did battle with. But I also disagree in general about LLMs. LLMs are statistical text models but the general concept of what if there were an "AI" that wasn't a LLM and was trained on open source software is the same at the end of the day. I think whether or not LLM are intelligent or equivalent to humans is a red herring. There's no reason to not consider the implications of machines that are indistinguishable or even superior to human programmers. Particularly if we're discussing ethics getting lost in implementation details seems like a distraction and then all the derived ethics gets thrown out after the next innovation.