> The training is not modification and redistribution. This is incorrect when you consider either the literal way that content licenses are written or the spir

> The training is not modification and redistribution. This is incorrect when you consider either the literal way that content licenses are written or the spirit in which they are written. In the literal sense, unless you yourself are privy to cutting-edge research that has solved the problem of "how do you know that the model won't reproduce some of its training data verbatim or with small modifications", no, you cannot guarantee that there won't be redistribution. In the spirit of the way that licenses are written - "redistribution and modification" is meant to control whether you can profit (not necessarily literally - "profit" here can mean in a reputational sense, or being able to build on the work of others before you) from someone else's work/content/effort - and training on the data of people who did definitely not explicitly consent to it, and have not indicated that they're ok with other people taking their work in general, is definitely against that spirit. And, regardless of both of the above - if training is neither modification nor redistribution, then it's a new case that isn't considered by existing content licenses, so the default is "assume consent not given" - training should never be performed on data that isn't explicitly licensed for it or without the creator's consent. Consent is given, never assumed - a license that says "you're allowed to redistribute this content, unmodified" does not say anything about machine learning, and given that you're claiming that training doesn't amount to redistribution - the license simply doesn't say anything about training, and therefore you cannot claim that the author intended for it to be used that way. The attitude raised above is that of entitlement - you feel like you are entitled to use (because training is definitely using) other peoples' work for your own gain without compensating them in any way, and certainly not on their terms.