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    11 videos · 6 hr 19 min
    Playlists

    Before It Worked

    Curated by HackerTube · 11 videos · 6 hr 19 min

    Most AI videos on HN are about what works now. This playlist goes back to the talks HN kept linking while neural nets were still a fringe bet: the debates, the demos and the pioneers explaining ideas almost nobody used yet. It runs in chronological order, from 1973 to 2017. The last two talks are critiques from people inside the field.

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    1. 1
      1:23:12

      The Lighthill debate on Artificial Intelligence: "The general purpose robot is a mirage"

      Pierre-Yves Oudeyer · 15K views · 8 years ago

      The full 1973 BBC debate in which Lighthill argues against McCarthy and Michie, the argument that came before the first AI winter, with vintage footage of the Freddy robot.

    2. 2
      18:27

      Richard Feynman: Can Machines Think?

      Lex Clips · 2.5M views · 6 years ago

      In 1985 Feynman notes how hard it is to name anything a computer will never do, and HN still quotes that point in AGI arguments.

    3. 3
      4:10

      Karl Sims - Evolved Virtual Creatures, Evolution Simulation, 1994

      MediaArtTube · 797K views · 17 years ago

      Four minutes of evolved block creatures from 1994, which HN cites as the classic example of optimization exploiting simulator bugs.

    4. 4
      52:52

      Google Developers Day US - Theorizing from Data

      GoogleDeveloperDay · 27K views · 19 years ago

      Norvig's 2007 case that more data beats cleverer models, the statistical approach that came before deep learning took over.

    5. 5
      48:10

      Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning

      Google TechTalks · 123K views · 15 years ago

      Andrew Ng in 2011 showing networks learn their own features from unlabeled data, a talk nine HN commenters recommended over two years as the simple overview of the coming wave.

    6. 6
      4:12

      PREDATOR - Tracker that learns and improves

      Zdenek Kalal · 893K views · 15 years ago

      A 2011 vision demo that learns as it tracks, which HN remembers as primitive but effective and a reminder that pre-deep-learning methods could already impress.

    7. 7
      1:00:19

      Brains, Sex, and Machine Learning

      Google TechTalks · 152K views · 14 years ago

      Hinton in 2012 explains dropout through sexual reproduction and spiking neurons, which HN calls a simple, elegant account of the technique.

    8. 8
      9:05

      Speech Recognition Breakthrough for the Spoken, Translated Word

      Microsoft Research · 1M views · 13 years ago

      Microsoft's 2012 live demo turning English speech into Chinese in the speaker's own voice, one of the first public signs that deep nets had arrived.

    9. 9
      3:54

      Deep Visualization Toolbox

      Jason Yosinski · 270K views · 11 years ago

      A 2015 look inside a convnet watching a live camera, with individual units lighting up for faces and text.

    10. 10
      1:11:36

      Geoffrey Hinton talk "What is wrong with convolutional neural nets ?"

      trwappers · 200K views · 9 years ago

      Once convnets had won, Hinton came back to argue that pooling is a mistake and to pitch capsules instead.

    11. 11
      23:20

      Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)

      ObservantVids · 78K views · 8 years ago

      The ending: the field's most-quoted critique of itself, which argues that machine learning had become alchemy just as it started to work.