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Viewing profile — wxs

wxs

HN member
Joined
Wed, Apr 27, 2011, 2:20 AM UTC
HN karma
794
Public activity
109 items

About wxs

Co-founder and CTO at Whirlscape, makers of Dango, the neural-net powered emoji & GIF assistant (http://getdango.com) and the Minuum keyboard (http://minuum.com)

xavier@whirlscape.com @wxswxs

[ my public key: https://keybase.io/wxswxs; my proof: https://keybase.io/wxswxs/sigs/fhibuu3BrSc7k3fLOwDrKBHC1A5GGzzsoPACnipuWJ4 ]

Recent public activity

  1. comment
    Comment #27067825

    If you like this you may enjoy the "Pink Trombone" an interactive speech synthesizer that you control by moving around the virtual tongue and lips: https://dood.al/pinktrombone/

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    Comment #14843488

    > of consciousness, we have agents that perceive the environment and act, in order to maximize rewards I don't believe "agents acting to maximize rewards" is a good description of …

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    Comment #12817775

    Like Bret Victor? Who seems to have been involved in presenting this to Jobs? I'd say he's a pretty interesting guy and probably not worth firing even if you don't like one of his …

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    Comment #12799020

    I agree with the first half of this comment, but I don't follow you here: "Until there is an element of randomness fueled by context, they aren't creating anything new. That's wher…

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    Comment #12638658

    Unicode Technical Report #51, which is where Emoji are laid out, talks a bit about the current thinking of the committees on this: > The longer-term goal for implementations should…

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    Comment #12493252

    The matrix has nice features like flexible dates on a multi-leg trip that Google Flights doesn't offer.

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    Comment #12210641

    I really like your Hidden Unit Zoo here http://colinmorris.github.io/rbm/zoo/ as a window into what this thing is actually "thinking" about. The "top matches" for a given hidden un…

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    Comment #11873945

    The possibilities for how language will work in the future are really exciting and interesting! We made the Minuum keyboard, too, which also explores how machine learning assistanc…

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    Comment #11873856

    Well those are sort of equivalent. But yeah, we use cross-entropy between the projected output and the target emoji distribution as our objective to minimize. And yes, we do the t-…

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    Comment #11873842

    Not officially, although people have started reverse-engineering the website ;). We can get an actually supported one up officially if there's interest. Email me at xavier@whirlsca…

  14. comment
    Comment #11872683

    Well you can search in Dango, too ;) But yeah our main focus is suggestions. You can use Dango concurrently with the normal emoji keyboard, of course! It can just sit there showing…

  15. comment
    Comment #11872674

    Yeah we'd need to do some more work. But this is similar to stickers and GIFs: there are many fewer examples for any given sticker or GIF, which is why we do transfer-learning appr…

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    Comment #11872653

    Yeah so this is a legitimate concern. Of course sometimes it's fun to say "let's eat pizza :pizza_emoji:", but that's not hugely valuable. However, Dango's training data includes p…

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    Comment #11872638

    So yeah: we can focus on vectors at different levels of the net and these are in some sense different semantic spaces. In the article I talk about a level immediately before it pro…

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    Comment #11872590

    Yeah this is a real challenge with AI systems, they reflect both our worst and our best back at us, we're still struggling with the best way to deal with this. Although in this par…

  19. comment
    Comment #11871289

    We start supporting them as soon as they're available! Obviously we have a lot less training data early on but we can lean on some heuristics early on until it builds up. Unfortuna…

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    Comment #11871225

    Thanks! I was tempted to go way more technical but we decided it would be fun to let more people get some intuitive grasp of these kinds of algorithms.

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    Comment #11871089

    All over the web! For instance, over 20% of all tweets have emoji in them. Emoji are very popular in instagram comments, etc.

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    Comment #11870996

    Yes it can, language models can generate phrases that have not been seen before. Karpathy's RNN post is a pretty good intro to how that works http://karpathy.github.io/2015/05/21/r…

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    Comment #11870956

    We use t-SNE for the projection! We do mention it somewhere in there. Could maybe be more clear The sequences of emoji we ended up glossing over here (difficult balance making thes…

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