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Didn't msft do the same thing with twitter and end up with racist bot? I am not sure how this will turn out.
Microsoft's bot (Tay) learned as people talked with it. People took advantage of that and basically attacked it with racist things which meant it ended up learning to be a racist.
Source: http://spraktidningen.se/artiklar/2007/11/darfor-ar-din-mobi...
Translated by Google: https://translate.google.se/translate?sl=sv&tl=en&js=y&prev=...
Earlier quoted context omitted.
> But when we ran the model on more data, and it was gone and soon forgotten. Just like Carrot Top. "it was gone" meaning the association between Carrot Top and Kate Mara? So after better training, who is now most_similar(['Carrot_Top|PERSON'])? EDIT: RTFA, used the interactive demo. most_similar() is now a category I would describe as "actors/comedians popular in the 90's: "Bill Murray, Gary Busey, David Spade, Char…
https://demos.explosion.ai/sense2vec/?word=carrot%20top&sens... Weirdly there's a bug that's dropped PERSON from the sense list. Fixing. Edit: Fixed. Edit2: Ah this is super misleading atm. I'll have a think about how to do this better. auto is case insensitive, but if you specify a sense, it's case sensitive. So you need to do "Carrot Top" and set PERSON. Btw, contrast with carrot top "NOUN".
A computer will learn how to speak from reddit, hahahaha. What could possibly go wrong?
The DGX-1 is available for a cool $129k: http://www.nvidia.com/object/deep-learning-system.html Correct me if I'm wrong, but I think it's basically a couple hundred NVIDIA 10-series cards strapped together with a full custom NVIDIA software stack.
It uses their P100 HPC cards instead of consumer grade cards (8x P100s), plus two Xeon E5v4 chips, half a TB of RAM and 7.5 TBs of SSD storage - all wrapped up nicely configured for you with their CPU-GPU speed up stack.
I believe the only way to get P100s right now is in the DGX-1, so there's that.
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https://demos.explosion.ai/sense2vec/?word=carrot%20top&sens... Weirdly there's a bug that's dropped PERSON from the sense list. Fixing. Edit: Fixed. Edit2: Ah this is super misleading atm. I'll have a think about how to do this better. auto is case insensitive, but if you specify a sense, it's case sensitive. So you need to do "Carrot Top" and set PERSON. Btw, contrast with carrot top "NOUN".
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As a frequent Redditor, this AI is going to be very witty. They should limit it to top comments only, and for training, you might as well assume 90% of top comments are sarcastic/tongue in cheek. Or let a user dial the sarcasm/wittiness/seriousness as they want it, kind of like TARS from 'Interstellar'.
That was first thought. Curious How does NN or any other model capture sentiment ?
I have at least one paper about sarcasm in my Zotero (link to PDF): http://www.aclweb.org/anthology/P/P11/P11-2.pdf#page=621
If you don't want to click on that nondiscript looking link, the title is: "Identifying Sarcasm in Twitter: A Closer Look"
How one would use such technology? Let me rephrase - how would YOU use this technology if you had it? Imagine you have a bot that convincingly passes the Turing test - what would you do with it? Build a chatbot business? B2C or B2B? Sell it to one of the big companies and if yes then how much do you think it would go for? Give it to OpenAI? Open source it? If you answer yes to any of this questions, then why? Edit: l…
Rapidly (and with its help) get it to a point where it can self-improve beyond human intelligence.