2 ms·
I think it's great in specific use cases, like the meeting discussion overview in teams. The problems come when you think you can build one AI that can do anyth
by robotnikman 2y ago
I think it's great in specific use cases, like the meeting discussion overview in teams. The problems come when you think you can build one AI that can do anything and everything, or tackle problems with a wide scope, or start using the AI as an infallible source of information. It seems like a lot of people were expecting the latter to be true.
- HenryBemis 2y agoWait until the moment that they can monetize it/save a bunch of money. Then see them dropping 5000-10000 employees globally because 'shareholders are pressing us to...' Some banks that develop their own applications will start using it heavily when they will realize that their in-house trading platform can execute orders 0.0001 seconds faster (or something insanely small). I strongly believe that the only thing that will hold AI/LLMs back is regulation, and nothing else.
- kibwen 2y ago> like the meeting discussion overview in teams Amusingly, Microsoft had an autosummarize feature in Word as far back as, like, 1997. The fact that this appears to be the rare feature that actually got removed from Word could be an indication that this use case might not be as compelling to users as one might think.
- wkat4242 2y agoI think it was more because it was no good at that time and couldn't be relied upon. For all their flaws, summarisation is something LLMs do pretty well. I think the chat feature is also really helpful "tell me more about this aspect" kind of thing. That really helps make the summary more tailored to your needs.