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At Soundslice we're using a custom machine learning system to convert sheet music images into semantic music data: https://www.soundslice.com/sheet-music-scanner/ Personally I think the user experience is interesting because we show you very specific questions for low-confidence decisions. Some example screenshots are on that link above. Over time, the number of manual questions has gone down, as our models have gott…
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Chat sucks and will be replaced in almost all cases, I suspect. Speaking is much easier for many tasks, traditional UIs for others. Mediating everything through a keyboard is clunky and slow.
A keyboard is really nice input method, with current technology
That is the level of experience AI needs to get to. Not buttons that basically say: "Use AI!!" but features so fully integrated and smooth that you don't even think about whether or not AI is behind it... it just does what it does when it needs to do it.
(And I know, my anecdote wasn't about LLMs, but that is kinda the point.)
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A keyboard is really nice input method, with current technology
It’s also easier to have greater precision over what one says when communicating through text vs speech
That said, voice can be better for people and situations where typing is hard.
When someone pulled right in front of me from a side street a while back while I was driving, the car slammed on the brakes and before I even registered fully what was going on, I found myself stopped safely, but only inches away from having t-boned that guy. That is the level of experience AI needs to get to. Not buttons that basically say: "Use AI!!" but features so fully integrated and smooth that you don't even t…
Well, as a blind user, I'd like to point at the OpenAI Vision integration of BeMyEyes! Being able to get fully detailed scene descriptions including OCR and translation all in one package was pretty much a game changer for me. Not so much kick-ass, but still works nicely: https://github.com/mlang/tracktales -- My MPD track announcer with support for describing album art...
At Soundslice we're using a custom machine learning system to convert sheet music images into semantic music data: https://www.soundslice.com/sheet-music-scanner/ Personally I think the user experience is interesting because we show you very specific questions for low-confidence decisions. Some example screenshots are on that link above. Over time, the number of manual questions has gone down, as our models have gott…
The best experience with AI is not using it at all. I prefer interacting with humans.
It's difficult to spot, because - similar to your sysadmin - if you know it's AI, it's probably because it's doing a bad job. It's when it just blends into the overall experience so you don't even notice it's there that it's great. There are cases where AI is helping a company be more profitable, by allowing them to provide a substandard service with fewer humans. From a company perspective, it's doing great, but the…
In a similar vein, I remember using Pandora for the first time in the late 00's and thinking "Is this software reading my mind??" as it picked song I either already loved or a new song I like immediately.
Amazon Music, YouTube etc all feel like it's some version of "this what other people liked" but that just spirals me into some very specific genre.
I haven't had an experience similar to that first Pandora one in tech in a long time.