(Though that notion assumes a Turing machine under the hood, so it's not a full-fledged alternative model of computation like lambda calculus.)
Consider the various models of computation: Turing machines, lambda calculus, Boolean circuits, etc. They have different primitives - tapes, substitution rules, logic gates - but the Church-Turing thesis tells us they're equivalent.
Nit: the standard notion of Boolean circuit isn't Turing-complete.
EAs who shortened their timelines only after chatGPT had the intelligence of a houseplant
Nitpick: his actual comment only suggests that EAs whose current timelines are above 30 years are dumber than a potted plant. Furthermore, the intelligence threshold of non-potted houseplants is significantly lower, as they're generally too small to support recursive self-inflorescence
What are the most noteworthy sections to read? (Looks like you forgot to bold them.) Thanks!
The Amazon link in the post is for the third (and latest) edition, only $28. Your other links are for the second edition, except the Harvard link's dead.
Nope, it was Samuel Butler who wrote "Darwin Among the Machines."