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@shelikavoid

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@shelikavoid

@duffelhq | http://github.com/nlopes  | Trying to keep up with @gabpmts 🧠. | ex @gocardless, @blizzard_ent

London, UK
Joined February 2010

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    1. Kushal Pisavadia‏ @KushalP Jan 1

      You might be wondering how you can run MuZero to play against it or understand how it works. Sadly, the best that we have is the Nature paper and the accompanying blog post.

      1 reply 0 retweets 0 likes
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    2. Kushal Pisavadia‏ @KushalP Jan 1

      The team have published pseudocode to arXiv, but it's not enough to reproduce their work: https://arxiv.org/abs/1911.08265 

      1 reply 0 retweets 0 likes
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    3. Kushal Pisavadia‏ @KushalP Jan 1

      There are attempts at building an independent open implementation of AlphaGo Zero[1], however it does not include the network weights that make the system powerful. Computing the AlphaGo Zero weights will take ~1700 years on commodity hardware. [1]https://github.com/leela-zero/leela-zero …

      1 reply 0 retweets 0 likes
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    4. Kushal Pisavadia‏ @KushalP Jan 1

      I would like to see @deepmind publish more concrete examples of their findings when ready. It has been 5 years since AlphaGo was shown to the world. Could they use tools like @replicateai to help others to reproduce, learn from, and build on their work?

      1 reply 0 retweets 1 like
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    5. Kushal Pisavadia‏ @KushalP Jan 1

      This is impressive work. I have so many (immediate) questions, but less on the side of RL. I'd really like to understand how the team went about operationalising this system.

      1 reply 0 retweets 0 likes
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    6. Kushal Pisavadia‏ @KushalP Jan 1

      How did they measure their progress? Did they write any tests (unit, integration, other) to check their working? What did they use to monitor it? Could they jump into strace to debug the running system and "change" it's path? Did they use distributed tracing or just images?

      1 reply 0 retweets 1 like
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    7. Kushal Pisavadia‏ @KushalP Jan 1

      How easy was it to dump the state of the system to do point-in-time recovery? How are they making it cost effective? How much of the system is actually utilised vs. idle?

      1 reply 0 retweets 0 likes
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    8. Kushal Pisavadia‏ @KushalP Jan 1

      What research are they doing to make proceeding training runs and experiments cheaper to run? Are TPUs worth it or are there better hardware paths that could be taken? How much of Google's funding is dependent on @deepmind falling in line with certain corporate goals?

      2 replies 0 retweets 0 likes
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    9. Lawrence Jones‏ @lawrjones Jan 3
      Replying to @KushalP @DeepMind

      Been a lot of discussion around training cost recently, especially with Timnit and her paper. This always surprised me, as training requires less carbon than even individual consumer decisions like buying a car In your view, is the issue more reproducibility?

      3 replies 0 retweets 0 likes
    10. Kushal Pisavadia‏ @KushalP Jan 3
      Replying to @lawrjones @DeepMind

      The carbon point is interesting. If you control your hardware setup, you can track the electricity draw of your cage/row of servers and then offset that by planting more trees. This is something Deepmind, GCP, AWS, and the other big players can do. It's not viable for others.

      1 reply 0 retweets 0 likes
       🔥 🔥 🔥 💻 💻 💻 💻 🔥 🔥 🔥‏ @shelikavoid Jan 3
      Replying to @KushalP @lawrjones @DeepMind

      AFAIK Google is already carbon neutral (for more than a decade now). I think they are now trying to move into carbon negative so this concern doesn't quite apply (doubt it's this simple so take that with a grain of salt).

      3:15 AM - 3 Jan 2021
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      • Lawrence Jones
      2 replies 0 retweets 1 like
        1. Kushal Pisavadia‏ @KushalP Jan 3
          Replying to @shelikavoid @lawrjones @DeepMind

          Yeah, I read that. Was picking up on the point that Lawrence made on the cost of training and how that _could_ be offset with minimal tracking.

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        2. Kushal Pisavadia‏ @KushalP Jan 3
          Replying to @shelikavoid @lawrjones

          As you're both here, I'm looking for more papers to read. Got any recommendations or things you're interested in but haven't read yet? The papers being behind a paywall isn't an issue.

          1 reply 0 retweets 0 likes
        3.  🔥 🔥 🔥 💻 💻 💻 💻 🔥 🔥 🔥‏ @shelikavoid Jan 3
          Replying to @KushalP @lawrjones

          I've been interested in search space problems but there's lots and lots of literature on it (but I find it lacking in innovation - I'm sure it's just me not looking in the right places).

          1 reply 0 retweets 0 likes
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