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patio11's profile
Patrick McKenzie
Patrick McKenzie
Patrick McKenzie
@patio11

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Patrick McKenzie

@patio11

I work for the Internet, at @stripe, mostly on accelerating startups. Opinions here are my own.

東京都 Tokyo
kalzumeus.com
Joined February 2009

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    1. Patrick McKenzie‏ @patio11 Feb 16
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      A great software is eating the world story, from a family member in a traditional industry, who is not themselves a technologist but has worked for the Internet for a few years:

      5 replies 21 retweets 127 likes
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    2. wily mandala‏ @babarganesh Feb 16
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      Replying to @patio11

      what does “suboptimal” mean? what are the images? what i would do as a first cut is try this: pick 50 (or so) good images from the bunch and see which ones are most like them (by some metric) and see if that is a good discriminator or not. i am just spitballing btw.

      1 reply 0 retweets 0 likes
      Patrick McKenzie‏ @patio11 Feb 16
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      Replying to @babarganesh

      You'll forgive me if I don't answer this in detail. "They fail to satisfy a property which a human six year old could trivially identify."

      7:07 AM - 16 Feb 2020
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      5 replies 0 retweets 15 likes
        1. wily mandala‏ @babarganesh Feb 16
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          Replying to @patio11

          would it be accurate to say that some large percentage of the photos satisfy basically no properties at all (ie just blurry noise) and that excluding all of these would reduce the sample considerably?

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        1. wily mandala‏ @babarganesh Feb 16
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          Replying to @patio11

          (but right now i would guess you’re not quite right on the scaling -you could come up with an algorithm that does decent job but it’s going to misclassify some and fail to classify others-depending on the penalty for doing that you could end up having to have humans take a pass)

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        1. wily mandala‏ @babarganesh Feb 16
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          Replying to @patio11

          also a million images isn’t much. if you could put 100 on a big screen at the same time, how long would it take a person to click on the ones that have this feature? under a minute? now multiply this by 10,000. well under 1000 human hours

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        2. Louis Simoneau‏ @louis_simoneau Feb 16
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          Replying to @patio11 @babarganesh

          If a human six year old can trivially tell the difference, it is very likely that so can a neutral network, and someone with a few days investment in learning http://fast.ai  can train it.

          1 reply 0 retweets 0 likes
        3. John Chew‏ @johnzchew Feb 16
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          Replying to @louis_simoneau @patio11 @babarganesh

          I agree and this is where the software eating the world story kicks in; once trained, the actual effort in doing the work is constant or scales up marginally. The cost and addressable scope for training/modeling is always improving, unlike for humans; we're stagnating.

          0 replies 0 retweets 0 likes
        4. End of conversation
        1. Greg Brrrrrson‏ @gbildson Feb 16
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          Replying to @patio11 @babarganesh

          Garbage photo image classifier. Interesting idea.

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