>Data Centers in Space are a practical engineering impossibility,
Not really, thermal radiators are well understood and the size needed aren't really that unreasonable. Radiation hardening the GPUs is probably the single hardest problem along with actual launch costs.
>making no economic sense
Yes this is the real issue, Spacex would need to reduce the cost of launches by ~10x with Starship for it to ever be viable.
>And the jets is a terrible example - you picked one of THE highest regulated industries where NOBODY has a problem with regulation
The potential risk from serious AI disasters far far outweighs anything the Airline industry has ever done. Like its a joke that I even have to invoke that in the first place.
You don't need to read this to know it's wrong. Ted Chiang hasn't solved the hard problem so he can't say that anything is conscious or not. I'm a big fan of his sci-fi but his bold pronouncements about AI are pretty flimsy and are a pretty bad look for him imo.
This is kind of like saying you can't compare Computer Vision models to Human performance because those models were literally trained to identify objects in images...
MCP will die for the same reason RAG died and why prompt engineering is dying. The models get better at understanding what you want and where to find the right tool or context to solve the problem on their own.