We all know that AI systems use a lot of energy and resources. But what for? What are these systems good at, exactly? To answer that, let's a look at how AI is being used today. And as a bonus, we'll also take a look at why Kevin O'Leary likes AI.
Arguable… it’s OKish at best, definitely nowhere near as good as professional… then IMHO it’s like spotting a spelling mistake in an official document, you instantly look for MORE mistakes then it become distracting. There is something powerful about trust that once it’s broken, it’s hard to get back. Once a spelling or here transcription mistake happens, then we brace for more (rationally so) and it becomes a very taxing endeavor.
So… sure STT progressed quite a bit but it’s STILL not good enough in a lot of cases.
Case in point, IMHO when there is a choice, most people (everybody?) would rather have human made captions than AI ones.
So for example if I want to add closed captions to my Twitch streams there is no way that I go pay a person to transcribe/translate the shit I’m saying for 3 hours everyday. Maybe this is a weird example but it fits my needs.
Not a weird example. I have my self hosted video server (PeerTube) and I tinkered with transcription thanks to whisper.cpp locally. It “works” in the sense that most of it is acceptable. It still does mistake though. I provide all my content, including hosting, at my costs and to anyone in the World for free.
So… I definitely see the value. I’m only saying that it has downsides and quality-wise relative to professional, it’s still bad.
Indeed, professionals are expensive, and IMHO rightfully so. I’m only trying to highlight the fact that it’s unfair to imply it’s much cheaper when the quality isn’t on par.
Arguable… it’s OKish at best, definitely nowhere near as good as professional… then IMHO it’s like spotting a spelling mistake in an official document, you instantly look for MORE mistakes then it become distracting. There is something powerful about trust that once it’s broken, it’s hard to get back. Once a spelling or here transcription mistake happens, then we brace for more (rationally so) and it becomes a very taxing endeavor.
So… sure STT progressed quite a bit but it’s STILL not good enough in a lot of cases.
Case in point, IMHO when there is a choice, most people (everybody?) would rather have human made captions than AI ones.
Yeah, the song I 2 I, from a goofy movie will take AI a while to get right.
So for example if I want to add closed captions to my Twitch streams there is no way that I go pay a person to transcribe/translate the shit I’m saying for 3 hours everyday. Maybe this is a weird example but it fits my needs.
Not a weird example. I have my self hosted video server (PeerTube) and I tinkered with transcription thanks to whisper.cpp locally. It “works” in the sense that most of it is acceptable. It still does mistake though. I provide all my content, including hosting, at my costs and to anyone in the World for free.
So… I definitely see the value. I’m only saying that it has downsides and quality-wise relative to professional, it’s still bad.
What if they had to pay the relative costs of hiring a human vs asking an AI
Indeed, professionals are expensive, and IMHO rightfully so. I’m only trying to highlight the fact that it’s unfair to imply it’s much cheaper when the quality isn’t on par.
Fair!