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Ep. 309 Gene Callahan on the Failure of Liberal Neutrality

Gene Callahan teaches computer science at NYU and is the author of Economics for Real People. He joins Bob to discuss the inner contradictions of liberal neutrality. They also discuss AI and whether computers can really learn.

Mentioned in the Episode and Other Links of Interest:

About the author, Robert

Christian and economist, Chief Economist at infineo, and Senior Fellow with the Mises Institute.


  1. Dave H on 01/31/2024 at 9:09 PM

    +1 for pointing out the hypocrisy of “liberal democracies” but -1 for asserting ancap societies face the same problems. If a judge in ancap gives absurd opinions then I will simply stop being his customer. His opinions are not BINDING on anyone the way they are in statist societies.

    And if you ask “but will women be allowed to walk around topless in public or not?” Then I will reply “walk around in *where*?”

  2. RMB on 02/03/2024 at 5:17 AM

    Much more compelling and intelligent than Owen Benjamin for sure.

    He make very relevant comments on Artificial Intelligence/Machine Learning. I am an intermediate in the field. Most people make too much of it. They act like machines have consciousness with no real evidence.

  3. Adam Haman on 02/21/2024 at 9:51 PM

    The digits of pi falling out of the bouncy blocks algo is really breaking my brain. It’s almost like the plot of Carl Sagan’s novel, Contact.

    Circles everywhere, you say? Wild man. Cool simulation. Big fan. Hope I get to play it again.

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