Earlier quoted context omitted.
completely different scenarios. A pirated movie is marketed/sold as a copy of something, which is not fair use. An LLM just remembers/get inspired by what it consumes
> An LLM just remembers/get inspired by what it consumes As mentioned in another comment, LLMs (and most popular machine learning algorithms) can be viewed, correctly, as compression algorithms which leverage lossy encoding + interpolation to force a kind of generalization. Your argument is that a video wouldn't count as pirated if the compression used for the pirated copy was lossy (or at least sufficiently lossy).…
You would never use a human to backup your financial reports, but the human might be able to give a good overview. You would never use an LLM to backup your financial reports, but they might be able to give a good overview.
AI training data is disposable. There is nothing that could be called a compression algorithm that disposes all of the data you put into it. AI uses training data as examples of what the next token in a token sequence is. The examples are disposable reference points, not the model itself. That's how you get image models that are 20GB in size despite training on 20PB of data. It's 20PB of examples used to form the shape of a 20GB model. You could show it 5GB of training data or 500EB of training data and it would still be 20GB - because it is not a compression algo, it's a 20GB shape formed by external data.