Sure ChatGPT and other LLMs can do all sorts of stuff. It can give you inspiration, help you search through a corpus that hasn't been scraped properly, or just fill in the blanks for laborious writing that was generally a waste of your time. It's lots of fun to play around with. But is that worth enough to offset the R&D, training, compute, and profit costs associated? Are people willing to pay for LLMs at a scale that makes sense? For companies that really need this kind of writing done, is it that much cheaper than hiring an English literature major intern? Can the sorts of "hallucinations" an LLM outputs be tolerated in actual applications?
The two fields suffer from a similar problem. Sure they're breakthroughs, but are they enough to derive broad utility? Regardless I disagree with the premise of Doctorow's post. I think the problem is subtle and not deserving of the silly snark that his post contains as it tried to pick apart banal definitions.
All in all, I think it's the most useful technology in the last decade. If you live in a bubble you won't realize that, but it's what it is.
Crypto can actually help people transact trustlessly, let communities govern themselves without a king etc.
Whereas AI swarms can generate bullshit at scale and turn every forum into a dark forest, with 99% bot-generated content deployed to silence or distract groups of people whose viewpoint is to be buried.
One has the potential to quickly destroy all the systems we rely on, including public discourse, voting, and so on. I would say that is far worse than a few silly smart contracts.