18 year old Nic (a dutiful Republican voter) would be absolutely flabbergasted that an ostensibly “conservative” Federal administration would be cheering on the possibility of deep integration of bureaucratic processes and artificial intelligence. This seems like a bad idea of you are skeptical of centralized State power.

Nicholas Carr, this week pulling quotes from Norbert Weiner, has some great reflections on the phenomenon:

Building on that idea in The Human Use of Human Beings, he argues that, once set in motion, machine learning might advance to a point where — “whether for good or evil” — computers could be entrusted with the administration of the state. An artificially intelligent computer would become an all-purpose bureaucracy-in-a-box, rendering civil servants obsolete. Society would be controlled by a “colossal state machine” that would makes Hobbes’s Leviathan look like “a pleasant joke.”

What for Wiener in 1950 was a speculative vision, and a “terrifying” one, is today a practical goal for AI-infatuated technocrats like Elon Musk. Musk and his cohort not only foresee an “AI-first” government run by artificial intelligence routines but, having managed to seize political power, are now actively working to establish it. In its current “chainsaw” phase, Musk’s DOGE initiative is attempting to rid the government of as many humans as possible while at the same time hoovering up all available government-controlled data and transferring it into large language models. The intent is to clear a space for the incubation of an actual governing machine. Musk is always on the lookout for vessels for his seeds, and here he sees an opportunity to incorporate his ambitions and intentions into the very foundations of a new kind of state.

If the new machine can be said to have a soul, it’s the soul Turing feared: the small, callow soul of its creators.

Tower of Babel painting By Pieter Brueghel the Elder - Levels adjusted from File:Pieter_Bruegel_the_Elder_-_The_Tower_of_Babel_(Vienna)_-_Google_Art_Project.jpg, originally from Google Art Project., Public Domain, [commons.wikimedia.org/w/index.p...](https://commons.wikimedia.org/w/index.php?curid=22179117)
Nic Babarskis @thebigbabooski