
I think the chapter about him is excerpted in this Atlantic piece:
https://www.theatlantic.com/past/docs/issues/88apr/wright.ht...
"The more equally attractive two alternatives seem, the harder it can be to choose between them—no matter that, to the same degree, the choice can only matter less."
https://en.wikipedia.org/wiki/Fredkin%27s_paradox
RIP. I loved Three Scientists and Their Gods and had the privilege of seeing him speak at CMU in 2001. He was hysterical and brilliant.
Scifi: The Three Body problem (https://www.goodreads.com/book/show/20518872-the-three-body-...) for its whole encompassing narrative about human future and some of it will be real (fusion instead of chemical fuel, pulse propulsion and other social consequences)
Ardor: https://www.goodreads.com/book/show/20931250-ardor if you ever wanted to understand ancient indian philosophy. Heavy read, not recommended for fun but more as quest
FoxTales: https://www.goodreads.com/book/show/412167.Foxtales about how software was developed in the midwest free of all the fashion/hipsterism currently in vogue and building a community of users for your software
The elements of networking style: If you ever wanted to know the politics of how networking RFCs are made: https://www.goodreads.com/book/show/2298785.The_Elements_of_... and design choices made to build modern day internet
Unwritten Laws of Engineering: https://www.goodreads.com/book/show/13122143-unwritten-laws-... is an old and timeless way detailing what it means to engineer
High Performance Browser Networking: https://www.goodreads.com/book/show/17985198-high-performanc... if you ever wanted to know what happens inside a browser
The Computer and the Brain: https://www.goodreads.com/book/show/358880.The_Computer_and_... where the master compares the machine with our brain
The Grammatical Man: If you ever wanted to know the importance of structure and constraint in everything: https://www.goodreads.com/book/show/722028.Grammatical_Man
https://paulabrahams.substack.com/p/memories-of-ed-fredkin
In a comment, I mentioned the Three Scientists and Their Gods profile (which someone else in the comments has also mentioned) and also that Fredkin was apparently the ultimate origin of a very widespread anecdote about overfitting in machine learning:
I don't think the universe is a computer either, but I don't think this guy understands what that would mean anyway.
From the article: "I just find it obvious that pretty much by definition, discrete objects are always less fundamental and less complete than the continuous ones. A discrete description of some object or phenomenon is always an approximation."
Now the whole thrust of the "computer-universe-ism" people's argument, if I read them correctly, is that the universe is really a discrete structure, in which case a discrete model of said structure would not be ANY kind of approximation. I.e. to what are the integers (a discrete structure) a (supposedly poor) approximation? What about the two-element set {0,1} or (say) groups? (The group theory bit is a trick for the author.)
We'd better leave these questions to be answered by empirical data---or if we need philosophers to chime in, better ones than this.
