Skip to content
HomeVideosBooks
AllTopicsTrends
BlogsPodcasts
HistoryListsWatch laterLiked videosFollowing

The videos, books, blogs and podcasts Hacker News keeps recommending, all in one place.

VideosBooksBlogsPodcastsAboutPrivacySettings

Data from Hacker News, HackerTube, HackerBooks, HackerBlogs and Open Library. Credits · Not affiliated with Y Combinator.

HomeVideosBooksBlogsPodcasts
Ctrl K
    MathematicaDavid Bessis

    Mathematica

    David Bessis, Kevin Frey · 2024

    A fascinating look into how the transformative joys of mathematical experience are available to everyone, not just specialists Math has a reputation for being inaccessible. People think that it requires a special gift or that comprehension is a matter of genes. Yet the greatest mathematicians throughout history, from René Descartes to Alexander Grothendieck, have insisted that this is not the case. Like Albert Einstein, who famously claimed to have "no special talent," they said that they had accomplished what they did using ordinary human doubts, weaknesses, curiosity, and imagination. David Bessis guides us on an illuminating path toward deeper mathematical comprehension, reconnecting us with the mental plasticity we experienced as children. With simple, concrete examples, Bessis shows how mathematical comprehension is integral to the great learning milestones of life, such as learning to see, to speak, to walk, and to eat with a spoon. Focusing on the deeply human roots of mathematics, Bessis dispels the myths of mathematical genius. He offers an engaging initiation into the experience of math not as a series of discouragingly incomprehensible logic problems but as a physical activity akin to yoga, meditation, or a martial art. This perspective will change the way you think not only about math but also about intelligence, intuition, and everything that goes on inside your head.

    Mathematics
    Open LibraryAmazon
    Stats for nerds
    12recommend
    20mentions
    15people
    2024–2026years
    65% recommend35% neutral

    Mentions per year

    202420252026

    What Hacker News says

    1. 2snakesSep 2026
      You’re in a kind of compulsive ideology here. This same vein of thought and why it is harmful is described by David Bessis in the book Mathematica: A Secret World of Intuition and Curiosity.

      “To stop thinking in terms of “gifts” and “talents,” one has to find an alternate explanation. My way of looking at things, which has served me well throughout my career, was to imagine that creative mathematicians were hackers who had found ways to unlock “hidden modes” of our cognition. Most of the time, they’d done so unwittingly, and were entirely incapable of explaining how.”

      It is a phenomenon like child-like mental yoga of attention.

      thread
    2. random3Aug 2026
      There are a few mathematicians that have analyzed and wrote about their process. A recent (IMO) good writing on the subject is David Bessis' "Mathematica" (I found this review https://siliconreckoner.substack.com/p/review-of-mathematica... which I haven't had a chance to fully read). It covers both a personal perspective as well as examples from Grothendieck, Descartes and others.

      Having had the opportunity to have ideas and pursue them extensively as a corporate employee, startup founder, and independent researchers, all I can say is that there seems to be a violent agreement of how stuff actually happens and that it's almost never fully made possible in either industry or academia. It's like a living irony.

      For a deeper treatment of the broader subject - one of the most cited books is the "The Structure of Scientific Revolutions"

      thread
    3. bwfan123May 2026
      > AI will soon be better than almost all human mathematicians at math problem solving.

      You misunderstand what mathematicians do. My favorite example is this: Birds can fly, but can they use their intuition to create a theory of flight, and then use that to build a plane ? This book by Bessis paints this really well [1].

      [1] https://www.amazon.com/Mathematica-Secret-World-Intuition-Cu...

      thread
    4. brandall10Apr 2026
      There was a book I read a couple years back called "Mathematica: A Secret World of Intuition and Curiosity", by David Bessis.

      He discussed this topic and how generally it's left to those who are more notable in a field to ask the 'dumb' questions everyone else is afraid to ask. And such questions often need to be asked to get the audience on board and open the floodgates with areas of niche research - the speaker themself is often too far into the rabbit hole to discern the difference between opaque and obvious.

      So it stands to reason, at smaller conferences this would be a big problem, with fewer thought leaders in attendance whose reputations are intact enough that they wouldn't mind looking foolish.

      thread
    5. leethargoFeb 2026
      There's also the argument that human intuition can and should be trained, rather than just dismissing it, in particular when it comes to mathematics.

      See, for example, the book "Mathematica" by David Bessis, or this blog post: https://davidbessis.substack.com/p/thinking-fast-slow-and-su...

      thread
    6. orforforofNov 2025
      I really enjoyed the book Mathematica by David Bessis, who writes about his creative process as a mathematician. He makes a case that formal math is usually the last step to refine/optimize an idea, not the starting point as is often assumed. His point is to push against the cultural idea that math == symbols. Sounds similar to some of what you're describing.
      thread

    Related

    Cover of A Programmer's Introduction to Mathematics
    2016–2026

    A Programmer's Introduction to Mathematics

    Jeremy Kun
    24 recommend · 44
    Cover of The Princeton Companion to Mathematics
    2009–2025

    The Princeton Companion to Mathematics

    Timothy Gowers
    62 recommend · 101
    Cover of Concrete mathematics
    2007–2026

    Concrete mathematics

    Ronald L. Graham
    140 recommend · 312
    Cover of Understanding Analysis
    2010–2026

    Understanding Analysis

    Stephen Abbott
    31 recommend · 42
    MathematicsA. D Aleksandrov
    2009–2026

    Mathematics

    A. D Aleksandrov
    26 recommend · 42
    Cover of Math for Programmers
    2018–2024

    Math for Programmers

    Paul Orland
    4 recommend · 11
    Cover of Conceptual Mathematics
    2009–2026

    Conceptual Mathematics

    F. William Lawvere
    36 recommend · 61
    Cover of Mathematics for Computer Science
    2009–2025

    Mathematics for Computer Science

    Eric Lehman
    37 recommend · 70