Generative Machine Learning
topic on 1 show · 6 statements across 4 episodes
6 statements about Generative Machine Learning, every show
Evans: Generative AI Shift Is Faster and Broader Than 2013 ML Wave
“We are certainly having at least one clear major platform shift is now underway around how we think about what generative machine learning is, just as in a sense, at a kind of a bare minimum, we also had that 10 years ago, as we thought, what is this machine l…”
Evans: VR and crypto may need 5 to 20 years to mature
“And this may be where VR is today, and you'll come back in 20 years. Crypto may be the new open source and it's plumbing. It may, you fade away, like, you know, people who thought that open source would destroy Windows and desktop Linux. This is the year of de…”
Evans: Generative AI scaled instantly by inheriting mature cloud infrastructure
“The kind of creative energy around generative machine learning sort of comes from the fact that, like, you've got all the stat ready, so you're basically free-riding on top of, not free-riding, but you're sitting on top of cloud, the web, broadband networks, f…”
Evans: VR/AR, generative AI, and Web3 are technologically independent
“So, you know, if VR and AR work, VR and AR might or might not work, that has nothing to do with whether Generative Machine Learning works, and very little, a little bit, and very little to do with whether Web three works.”
Evans: Generative AI models cannot be deterministically controlled using crude keyword filters.
“You can't, you know, you cannot deterministically control what it says. So you can kind of put crude keyword filters on. You can count, you can put kind of crude, crude keyword filters sort of on top, but you can't guarantee that it's not going to you talk abo…”