Arthur Carmazzi

speaker
853 appearances 1 recordings 1 series first heard Jul 2026 last heard 7 Jul

Arthur Carmazzi’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

Appearances

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But uh the that that's that that's not I I'm not into the whole AI ethics element, but here's here's what AI can do is is AI can interpret data about humans.
So that you can understand yourself and others better.
The other thing that we've got, for example, is in the same thing with Global Mentor Exchange, the concept there is: see, people will learn better in a real scenario rather than a content-based training, even if it's an experiential content-based training.
You learn
better from failing.
Now you c in the real world, it's scary to fail because there's a lot of consequences to failure.
And sometimes you just don't try stuff because you might fail.
So maybe you go to some leadership program and you try to learn you know learn how to be a good leader, but you try some of these things that you learn and it doesn't quite give you the same effect that you thought it was going to, so you just stop.
Okay.
And that's not even including all the stuff that you've forgotten.
They that that you're not even applying and of course the stuff that you want to apply, but you're just too busy.
Okay.
So let's say, for example, now you have an AI model that will create a scenario based on real life scenario that you're having.
Maybe people at work are not being like your your team is not motivated.
They're just kind of like playing with their phones all the time and you can't really get them to do stuff.
Okay.
So now you tell the AI, well, in our case, the librarian in this metaverse to create this uh this scenario.
And now you've got all these people in there.
Now you go into this metaverse and you try to communicate to these people so that they will be motivated.
And of course, you still don't know how to do it, so you fail.
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