Richard Feynman Computer Heuristics Lecture

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Introduction Article to Heuristics and Metaheuristics:
Richard Feynman, Winner of the 1965 Nobel Prize in Physics, gives us an insightful lecture about computer heuristics: how computers work, how they file information, how they handle data, how they use their information in allocated processing in a finite amount of time to solve problems and how they actually compute values of interest to human beings. These topics are essential in the study of what processes reduce the amount of work done in solving a particular problem in computers, giving them speeds of solving problems that can outmatch humans in certain fields but which have not yet reached the complexity of human driven intelligence. The question if human thought is a series of fixed processes that could be, in principle, imitated by a computer is a major theme of this lecture and, in Feynman’s trademark style of teaching, gives us clear and yet very powerful answers for this field which has gone on to consume so much of our lives today.

No doubt this lecture will be of crucial interest to anyone who has ever wondered about the process of human or machine thinking and if a synthesis between the two can be made without violating logic.


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50 Comments
  1. James Clerk Ferkel says

    64k processors in the 80s…
    AMD and Intel in 2020: am I a joke to you?

  2. Merlin Jones says

    like prof Feynman one uses if, what, where, when,how ,and why what are my actions up stream and down stream of the problem ie what will it effect how will it effect when will it effect why will it effect what will be effect of my actions on the problem ,due to we both grew up without the inter net advise Boeing to do the same ie 737 problems would not have happened

  3. vasari corridor says

    For all men were by nature foolish
    who were in ignorance of God,
    and who from the good things seen
    did not succeed in knowing him who is,
    and from studying the works
    did not discern the artisan;
    But either fire, or wind, or the swift air,
    *the governors of the world, they considered gods.
    Now if out of joy in their beauty they thought them gods,
    let them know how far more excellent is the lord than these;
    for the original source of beauty fashioned them.
    Or if they were struck by their might and energy.
    let them from these things realize
    how much more powerful
    is he who made them.
    For from the greatness and the beauty of created things
    their original author, by analogy, is seen
    But yet, for these the blame is less;
    For they indeed have gone astray perhaps,
    though they seek God and wish to find him.
    For they search busily among his works,
    but are distracted by what they see,
    because the things seen are fair.
    But again, not even these are pardonable.
    For if they so far succeeded in knowledge
    that they could speculate about the world,
    how did they not more quickly find its Lord?
    ……………….
    Jesus O Savior
    I know not if you are real
    Come
    Come live in me ..
    Save me !
    Amen and Amen
    ………….
    Revelations 22:17
    The Spirit and the bride say.
    "Come."
    Let the hearer say,
    "Come."
    Let the one who thirsts
    come forward,
    and the one who wants
    receive the gift
    of life giving water.

  4. Matt B says

    Impossible. Computers work from infinity downwards, while humans work from nil upwards. Teaching intuition by procedure is a contradiction, as it wouldn't be intuition if it were able to be encapsulated in logical procedure right now. Intuition is gradually transformed into logic, but both domains continue to grow. We have to create a hybrid, the plasticity and simplicity of a learning child with the truncated electrical processing speed of a machine. Who knows if this is even possible.

  5. Fernando Cunha says

    recognizing things is difficult for computers…..Feynman would be amazed by face recognition smart phones.

  6. Mario Pookster says

    A great man, scientist, thinker, and human. We could all learn a great deal from him. A great book about him is “Genius: The Lifevand Science of Ricard Feynman” by James Gleik … Tuva or Bust!

  7. Kirihana Tanepai says

    where can i buy that shirt

  8. Jack McGinnis says

    I wish nothing more than to go into a khole with Richard fucking Feynman

  9. Ashwin Siddarth says

    @4:56 "… one of the miseries of life is that everybody names things a little bit wrong. And so it makes everything a little harder to understand in the world than it would be if it were named differently …"

  10. Mohamed Hassan says

    Richard Feynman is soooo cooool. Computer science is amazing. Feynman was universally regarded as one of the fastest thinking in his generation.

  11. Terence Winters says

    AI may make this some what obsolete .

  12. Terence Winters says

    File reduction has multiplied however and now cloud file rooms are required which require heat and cooling electricity information has become compiled more efficiently but it has a tower of babel Quality.built of bits.

  13. Professional Complainer says

    Feynman would be blown away by modern computer vision. Self-driving cars, fingerprint recognition, distance finding with augmented reality, and more!

  14. Adam Borucki says

    Jak ja kurrrwa nienawidze kombinatu

  15. Dino Jelcic says

    Interesting how Feynman specifies the difference between the computing processes of machines and human capability of pattern recognition: first, he says that machines can carry out this complex task of information recognition only with significant problems, but a few moments later he seems to suggest that machines can not in principle perform such a task. In one sense he is anticipating the whole computationism vs non-computationism debate, while on the other hand moving one step beyond this discussion, by hinting at the naivety of any kind of clear-cut differentiation between the two approaches, based on the overly simplistic idea that every cognitive system can be subsumed under either this or that category type.

  16. Onno Dijkman says

    I'm so happy he skipped the slides to tell that amazing story at the end

  17. Tobiasz Fic says

    52:36 is that a hookah

  18. Paul Els says

    Is there any way to get a hold of a high quality version of this video?

  19. Nathaniel Gonzalez says

    did this fucker predict IBMs Watson?

  20. WHD says

    This standup comedian is really smart

    Plot twist: I study physics

  21. Bill Lumbergh says

    This is like Doc Brown talking about the future at the end of Back to the Future 3

  22. S Priyanil says

    It's just weird to see him in a T-shirt 🙂

  23. Jon Williams says

    The dude is 67 years old here and dresses like a hip 20 year old

  24. Akash Kakati says

    1:04:43 that woman at the back on acid

  25. Sarthak Girdhar says

    This makes me sad. Cancer ate his body. ??

  26. mayank raj says

    47:20 patterns ai….

  27. c says

    love listing to RF lectures… he sounds like a goodfella..

  28. GeryArty π 火 酉 Π-san says

    Great Thank you 🙂 Hours of insight and fun 🙂

  29. Terry Tyler says

    MEIN FUROR I CAN WALK

  30. Jim Lunn says

    Watson recommend this.

  31. Rishi Shah says

    Computers are dumb. :/

  32. sa7i7 says

    ملهمي وعراب فلسفتي في الحياه ،، شكرا فايمان ????

  33. Mikethareaper says

    I enjoy his rants he is the fucking shit man

  34. Boris Martinez Castillo says

    Omg what a god this Richard Feynman!

  35. Jonathan Wiskee says

    Such an entertaining guy.

  36. Chris Murdock says

    26 mins, the fonts folder lol

  37. Jason Wu2 says

    Talking about parallel processing in 1985.

  38. Justin Moore says

    Yes, I understand this was in the plans a long time ago.

  39. Ewa Wilczyńska says

    it's amazing how relevant some of these questions which they discuss at the end still are today (2019). especially the big brother threat tha computers may bring…

  40. dalriada says

    Computers seem to have got the hang of recognizing people now – if not by their walks, by their faces. Some day though…

  41. Cheo97 says

    Thanks for posting

  42. lee dufour says

    Thanks Richard.

  43. Naimul Haq says

    Controlled quantum mechanics (semi-conductor) opened the new world of electronics, taking the science of information to a new level called 'complexity'. Finding the algorithm of self-error correcting quantum computers, opens a new insight into life, which is a QC function. I began my life with instructions sent with punched cards and today I am at the door steps of 'determinism', when the secrets of fine tuned parameter space enables us to view the universe as a QC function. Feynman not only gave us the quantum field but also the quantum computers. How far ahead was he ?

  44. Ryan Ha says

    Looking like Jeremy Irons in this lecture. ?✨

  45. Juan Betancourt says

    Thank you for making this available to the greater public. I would have loved an updated lecture where he explains deep learning and the future of AI.

  46. Toki Hokuto says

    IQ Level over 9000

  47. Mohammed jawahri says

    "You just heard about those TWO HUNDRED FIFTY SIX KILO BYTE memories. that is just 256 thousand bytes"

    really puts things into perspective lol

  48. sacrip tex says

    Richard Fenyman Also Know as José Simão in brazil

  49. Tanmay Bishnoi says

    57:42 , AI is changing this idea

  50. Doug G says

    His only motivator at this point was to bang chicks . More power to him

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