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George Hotz | Programming | Can MuZero play Tic Tac Toe? | Part1 | DeepMind AI



Date of stream 29 Apr 2020. Live-stream chat added as Subtitles/CC – English (Twitch Chat). Stream title: Can MuZero play Tic Tac Toe? Video archive: …

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25 Comments

  1. Ok..sorry man, but you should stop talking about the corona virus. It is quite obvious that you have not thought about the details of the situation or you missed them.

  2. Comparing all deaths of past years to the ones of this year it makes no sense to stay locked down! easy numbers

  3. Nobody cares about comma getting level 5 if tesla is going to have it first. Does anybody remember second made smarthone or electric car?
    No one, because these companies are followers just like you.
    You have refused Elon offer becuase you are too greedy on money and 'changing world' is sweet motto to convince your dickraiders to do your job for free (labeling pictures)
    You've made your choice and now you will be remembered as a kid who hacked first iphone because this is the biggest highlight of your career.
    Why when pick up a microphone you start dissing everybody? This is not rap battle, so stop making these mad faces all the time and say something about your product rahter than others. There's so much anger in you so I chellenge you to say one nice thing about each 'self driving car' company you have offended in last couple years.
    Please don't call me hater for exposing your idol

  4. Hit the nail on the head with the comment regarding the media and shifting goal posts regarding the lockdown. No more mention of flattening the curve

  5. The protein-folding problem was first posed about one half-century ago. The term refers to three broad questions: (i) What is the physical code by which an amino acid sequence dictates a protein’s native structure? (ii) How can proteins fold so fast? (iii) Can we devise a computer algorithm to predict protein structures from their sequences? We review progress on these problems. In a few cases, computer simulations of the physical forces in chemically detailed models have now achieved the accurate folding of small proteins. We have learned that proteins fold rapidly because random thermal motions cause conformational changes leading energetically downhill toward the native structure, a principle that is captured in funnel-shaped energy landscapes. And thanks in part to the large Protein Data Bank of known structures, predicting protein structures is now far more successful than was thought possible in the early days. What began as three questions of basic science one half-century ago has now grown into the full-fledged research field of protein physical science. 😀

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