Nathan Benaich
speaker
623 appearances
1 recordings
1 series
first heard Nov 2024
last heard Nov 2024
Nathan Benaich’s voice in public audio — every appearance, attributed to the second.
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Appearances
But if you're in front of a generative search solution, it's way faster.
And then I think we can get into like the avatar stuff, video and voice.
Yeah, I think I think a good litmus test is like if you're if you have a meeting with somebody who's, you know, knowledgeable, smart, but they're not an AI and they say like, Hey Matt, like why should I be excited about this?
Like what's cool?
Like what is the demo you give them?
And for me the demo I give them is like voice generation. 'Cause I think it's basically solved.
And it's it's like magical.
Um
And uh and like this was not possible before.
I mean, Deep Speech Two was written like ten years ago, which was like the paper by do, which has um all these authors on it that have now gone on to found uh, you know, anthropic, like adept, uh they lead teams at Nvidia, et cetera.
And that was the first paper that really showed scaling laws.
Um
For deep learning, uh, in speech, um, scaling like models to large uh high performance computing clusters and showing like more data, bigger models, more parameters leads to lower loss.
And so ten years on, like now that you can clone your voice with
I mean
Probably like a few minutes if you want it perfect, like a you know, thirty minutes or something, reading arbitrary stuff and then you can just sit there in a meeting and say, What do you want me to say?
or you just type it and it's there.
It's amazing.
Um, so that and then like, you know, doing your avatar and like that plus your voice, whether it's like v video or through a call is
It's just like magic.
Showing 281–300 of 623 · page 15 of 32
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