[HN Gopher] Prof. Sussman's Reading List
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       Prof. Sussman's Reading List
        
       Author : tmseidman
       Score  : 47 points
       Date   : 2025-04-02 20:34 UTC (2 hours ago)
        
 (HTM) web link (aurellem.org)
 (TXT) w3m dump (aurellem.org)
        
       | perihelions wrote:
       | Previous thread here,
       | 
       | https://news.ycombinator.com/item?id=9411408 ( _" Prof. Sussman's
       | Reading List (aurellem.org)"_ (2015), 75 comments)
        
       | neilv wrote:
       | We need a lot more Gerald Sussmans.
        
       | FredPret wrote:
       | > The Feynman Lectures on Physics
       | 
       | > Highly understandable
       | 
       | Haha, I love the Feynman Lectures, but the only reason I can make
       | head or tails of it is because I'm using it to brush up on
       | subjects I've already studied before
        
         | II2II wrote:
         | I would describe the Feynman Lectures as highly understandable
         | in the same way that I would describe the Art of Electronics as
         | highly understandable: while you will definitely benefit from
         | prior exposure, these are the books I would choose if I could
         | only read only one book in their respective fields. While they
         | take more effort to understand, I'm pretty sure I could have
         | read them coming out of high school and would have had a better
         | understanding of the subject matter than I would have gained
         | from the eclectic mix of textbooks I did learn from.
        
       | GaltMidas wrote:
       | It's a shame that those Minsky links have been broken for at
       | least a few months now. Does anyone know where this material is?
        
       | teleforce wrote:
       | I highly recommend Prof. Sussman talk at the Strange Loop
       | conference 2011 [1].
       | 
       | It's not his inaugural lecture but it's pretty close where he
       | talk about his research work with his former students.
       | 
       | It's also paved the way to modern constraint programming based on
       | logic and optimization which are the machine intelligence that's
       | complementary to the conventional data driven and learning bases
       | AI.
       | 
       | [1] "We Really Don't Know How to Compute!" - Gerald Sussman - MIT
       | (2011) [video]:
       | 
       | https://youtube.com/watch?v=HB5TrK7A4pI
        
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