4 ms·
Except that analogy doesn't quite work. If you use a copyrighted song in a movie, you can choose to license that song (and the terms of use and cost will be up
by filmgirlcw 7y ago
Except that analogy doesn't quite work. If you use a copyrighted song in a movie, you can choose to license that song (and the terms of use and cost will be up to the rights holder) -- licensing that song doesn't give the rights holder reciprocal access to your film.
So yes, I agree with you that you need to obey the terms someone else has used for their work, or else you shouldn't use the work -- but your analogy with regards to a film or a book isn't accurate.
- deleted 7y ago[deleted]
- mcguire 7y agoYou are welcome to negotiate a second license to avoid the GPL.
- rmtech 7y ago> You are welcome to negotiate a second license to avoid the GPL. I have seen this in real life a few times. Usually something gets released under the GPL and then the authors ask for $ to hand it out with a commercial license on a case-by-case basis. But in practice it is difficult to negotiate a truly fair price if the market is somewhat thin and the size of the code is relatively small. I've seen this for ML datasets for example, collected using taxpayers' money and the author wants $50k per license to allow a company to use it. But that $50k represents what the author thinks they can get away with, not the true value of the dataset to your algorithm. In reality companies (in my experience) stay away from this, and for good reason. In cases like this I definitely wish GPL didn't exist, because if the academics who made the dataset had to choose between MIT or secret/proprietary, they would not be able to get away with Keeping their taxpayer funded dataset secret. (Because then taxpayers would be like "yo, wtf are we paying you for?"). One reason open source is good is that code markets just don't seem to work very well. But the good kind of open source is MIT licensed code.
- mcguire 7y ago"But that $50k represents what the author thinks they can get away with, not the true value of the dataset to your algorithm." That is how the market works, right? The price of something is set not by the "value" but by what the seller can get. Researchers "get away" with keeping their data proprietary all the time.