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I don’t always agree with Doctorow, but at least he’s not as naive as you make him sound, and he’s not a coward.
He’s a bit of a traditional socialist in his way of thinking, putting most of his attention on the underlying material and economic mechanisms of a phenomenon, rather that the ideological and cultural aspects of it.
For instance, he thinks that many of the harms are side effects of the hype. To him, for instance, putting illustrators out of work is not a business model and can’t justify the money that’s spent on this. It’s just an ad to attract more investment. If the bubble pops, then this will be significantly reduced.
If you expected Doctorow to get very upset over copyright, you clearly have no idea who he is. But he also literally has a book titled “Information Doesn’t Want to Be Free”.
He thinks model training is most likely fair use (probably true) even if the way the data are obtained violates copyright, and that giving more copyright to the authors will do nothing to mitigate this (near certainly true).
And since the output of LLMs is not copyrightable except for the part of human labor that goes into improving and editing it, relying heavily on LLMs is a dead end for publishers, because then everyone can steal their work (not totally sold on this one).
And finally, if we reject the hype, I find it hard to not consider LLMs to be a technology like any other. How can you buy in the exceptionalism and reject the hype?
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But he also literally has a book titled “Information Doesn’t Want to Be Free”.
That sure sounds like a zinger, but going off Wikipedia he does argue in that book for a loosening of copyright, which is pretty much what I meant. I don’t hate those positions though I’ll note they’re more libertarian than socialist. He has a whole personal freedom + monopoly control shtick, which works great for me in a lot of scenarios, but doesn’t quite work on GenAI tech.
You can call me exceptionalist, but I think LLMs stand out because the adoption of the tech basically requires very capital-intensive and thus centralized operations for model training. This makes whoever runs them (likely capital or a state) a powerful arbiter of information space, maybe best comparable with algorithmic feeds in monopolistic social media.
I think it is necessary to say: “Hey, we as a society shouldn’t run things like that. There are better ways of distributing information that work just fine.” A tech-neutral attitude can’t achieve that.
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