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14 results for “ai democratization”
Concept2 mentions across episodes
democratization
One of the amazing things about AI is it's, like, freely available for use by everybody in the world right now today, fully state of the art. Like, the best AI in the world, is on, you know, websites from OpenAI and Google and Microsoft. And you can
54:46 / 55:59
from transcript54:46 – 55:59
you know, to assure us towards that shared prosperity that we hope will will achieve. So we had to work very hard to make that happen. But Ramesh, you know, as as someone who's really leading the charge here, I know you're an academic institution, bu
52:27 / 53:34
from transcript52:27 – 53:34
Setting up a VM as well is and getting even a, like, OpenAI API key is is might be quite challenging, right, for, for some nontechnical people. But, really, we don't want this momentum to stop. We don't want the open claw moment to be available to on
40:31 / 41:29
from transcript40:31 – 41:29
a year, a million dollars a year, a billion dollar package, whatever it happens to be. We've seen these crazy numbers from Meta trying to catch up and and people poaching each other back and forth. That 3,000 will turn into 300,000 people who underst
5:09 / 6:31
from transcript5:09 – 6:31
both in the country and around the world, in the shortest period of time to vetting new technology, I think, in history. You know, we're we're it's something like 600,000,000, you know, users today on on rapidly on the way to a billion, rapidly on th
30:19 / 31:52
from transcript30:19 – 31:52
compared to some of my counterparts. And I'm wondering, is that how you see it, and what what do you think differentiates those who understand how powerful it is even now versus those who seem oblivious to it? Yeah. So I think there's kind of a fake
2:57 / 4:02
from transcript2:57 – 4:02
defines objective, breaks it down into task, allocates capital, monitors execution. The human now becomes a sensor, a hand, a temporary interface to reality. That's not automation. That's delegation. Now let's talk about the second project. Matt Schl
1:29 / 2:31
from transcript1:29 – 2:31
doesn't emerge in isolation. It emerges through feedback loops, interaction, competition, cultural memory. Humans then get smart alone. We got smart together. Multbook is effectively a coordination layer, a memory layer, a social graph for nonhuman i
2:13 / 3:17
from transcript2:13 – 3:17
And the path we are on right now is, unfortunately, a similar path, which is a a rapid separation between people who have AI and people who are gonna be purely consumers of AI. And the power is going to concentrate very quickly. But the if there is i
2:53 / 4:00
from transcript2:53 – 4:00
you know, as much as or or as much as that might be like grimly satisfying, like, we we don't actually have to do that. And there's actually a very there are many, many good reasons over the last three hundred years to believe that, you know, there's
53:55 / 55:09
from transcript53:55 – 55:09
So the other way to think about this is this concept that was also created at MIT and MIT Media Lab by by Marvin Minsky called the society of the mind. And he he put together this very important hypothesis that human brain is not just one centralized
25:28 / 26:34
from transcript25:28 – 26:34
a billion people, 2,000,000,000 people. Whoever can speak English can now code. How does it how do you think about that as one of the best computer scientists that America's ever created? Mhmm. How do I think about all those people having the ability
1:03:51 / 1:04:53
from transcript1:03:51 – 1:04:53
a, sort of UI. I don't think we've invented the UI for how to mix and match these LLMs and how to program them. So as much as I am a big believer in natural language based programming, I think at some point as agents get better and they're, like, wor
20:13 / 21:15
from transcript20:13 – 21:15
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