see the other teasers here:https://twitter.com/ibdknox/status/1328797793138266113 …
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Peek #3 If programs spoke our language, they could answer our questions...pic.twitter.com/taOeohThT1
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You're building something important here, getting us toward an Answer Engine... https://www.atlanticcouncil.org/blogs/futuresource/internet-as-answer-engine-part-i/ … Just watch out for profit motive ;) https://www.atlanticcouncil.org/blogs/futuresource/internet-as-answer-engine-part-ii/ …
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Would love to read an essay on how to cull the design space for these tools down to the ones you feel worth pursuing. Feels like you'd have a unique and valuable set of mental models to share given the breadth of your prior efforts.
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Dictionary, Dependency Parsing or Langage Model? or something else entirely. Curious how you deal with disambiguation, conflicting statements, typos, and other human error?
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1) Somewhere in between. Our algorithm has a user-specified dictionary describing the system's nouns and verbs as its backbone, with a thesaurus and dependency graph layered on top to translate everything else into patterns of known terms. Edit distance will help with typos.
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This looks amazing and very powerful! We’re currently thinking about similar approaches to making interaction with data more human friendly https://nand.io/projects/spotti Would be great to exchange ideas
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Looks like awesome work
I think you and @forgttenboy would have a lot of fun chatting. He’s been doing a lot of thinking about the UX on our side - Show replies
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i follow your work for a long time and i share the passion for the same problem, giving computational power to the people, i would love to know more about this new approach like you used to do with eve blog
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i have been thinking in the the GUI for a conversational AI, here are some sketches, the main ideia is mixing the conversation with widgets for showing data or small apps for some interactions text is not good forpic.twitter.com/oiDNwdeYuo
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