wxs

6 ms·

1.
by wxs 5y ago
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/
2.
Facebook is opening an AI office in Montreal(venturebeat.com)
1 points by wxs 9y ago|0 comments
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by wxs 9y ago
> 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 any human I know, or if it is the reward
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Distributions of words across narrative time in 27,266 novels(litlab.stanford.edu)
1 points by wxs 9y ago|0 comments
5.
Hacking Unicode for Unbreakable Kaomoji ᕙ(⇀‸↼⁠‶)ᕗ(getdango.com)
7 points by wxs 10y ago|0 comments
6.
by wxs 10y ago
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 proposals. https://twitter.com&#
7.
by wxs 10y ago
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 where genius lies." I suspect reframing
8.
by wxs 10y ago
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 be to support embedded graphics, in addition to the emoj
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by wxs 10y ago
The matrix has nice features like flexible dates on a multi-leg trip that Google Flights doesn't offer.
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by wxs 10y ago
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 unit are pretty
11.
by wxs 10y ago
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 assistance can open up new ways of communicating. One reason we'
12.
by wxs 10y ago
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-SNE on that pre-projection space. That's why we can vis
13.
by wxs 10y ago
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@whirlscape.com!
14.
by wxs 10y ago
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 you emoji you might not know about "ambiently"
15.
by wxs 10y ago
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 approaches as discussed in the article. So there's a g
16.
by wxs 10y ago
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 people using Emoji to augment
17.
by wxs 10y ago
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 projects onto the emoji vectors. If you look at the output
18.
by wxs 10y ago
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 particular case it's actually just a bug: Dango get
19.
by wxs 10y ago
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. Unfortunately in the app we can't give you emoji that you
20.
by wxs 10y ago
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.
21.
by wxs 10y ago
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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by wxs 10y ago
;)
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by wxs 10y ago
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/rnn-effectiveness/
24.
by wxs 10y ago
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 these concepts as accessible as possible). In the app we can bea
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Emoji and Deep Learning(getdango.com)
168 points by wxs 10y ago|50 comments
26.
by wxs 10y ago
I use Twitter on Firefox mobile and didn't know until this article that it's for some reason forcing an old ugly version. What UA string are you using? I tried the Android (Phone) one, and the Chrome one that the Phony extension p
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by wxs 10y ago
I went to the NYC incarnation a few months ago and it was pretty amazing, you can see some projects from that up here: https://news.ycombinator.com/newest Glad we're getting our own version in Toronto.
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by wxs 10y ago
His editor is very good, live preview of shaders, colour pickers, sliders for scalars, breakpoints. Check it out here: http://editor.thebookofshaders.com
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by wxs 11y ago
That's no surprise: the event was hosted at ITP ( http://tisch.nyu.edu/itp ) which is a technological art program at NYU. Many of the participants were current students or researchers there.
30.
by wxs 11y ago
Wouldn't the statement also be consistent with an increased percentage of car time with a passenger? That is, if all other costs were equal, and occupied time per driver-hour doubled despite per-ride profit halving?

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