5min chapter

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Jon Stokes - AI: Everything Already Exists | #3

The New Founding Podcast

CHAPTER

The Rise of OpenAI and the Frontrunners

Do you think that OpenAI and the frontrunners, are they far enough ahead that they have a serious long-term lead in the space? Or is it feasible that open source and other forks people could create similar models that would have different values or different rails? "I wouldn't bank on anybody's lead being super durable. I've seen this time and time again, man"

00:00
Speaker 3
Do you think that OpenAI and the frontrunners, are they far enough ahead that they have a serious long-term lead in the space? Or is it feasible that open source and other forks people could create similar models that would have different values or different rails?
Speaker 1
I think that OpenAI is probably really far ahead. But that's like saying that you are 100 meters out front in a four mile race or something. Do you know what I'm saying? Is that like a
Speaker 3
race?
Speaker 1
I'm not like a race person. I don't know if they're four mile races. How many miles? Do you? So, yeah, they're out front, but they could trip and fall and somebody else could overtake them. The open source community could overtake them. I mean, I've seen this time and time again, man. I'm old enough to remember when next to Windows, Linux was not a great experience. And then next to Linux, Windows was not a great experience. And now we're back again. Windows is kind of awesome. I've seen the baton of what are good operating systems and what are good for like operating systems for developers. There was a Linux phase and then there was a Windows phase and there was a Linux phase. Now Windows is pretty cool again. So, we could have something like this play out with the AI stuff. So, we're still so early. I wouldn't bank on anybody's lead being super durable.
Speaker 2
So, speaking of timing, an interesting thing I think about often these days is this insane rise of AI across the journey and open AI and playground and all these different models. They, at the time in history in our country that we're in right now, you almost wish these models could come about at a time when we have much more common understanding of the good and we're like, let's figure out what we want to do. Of course, a lot of the fears of AI can give them the state of things. A lot of the fears point towards deep fakes and, you know, distrust is at an all time high. It's just going to drive that even further that way. It's going to be almost inexorable from society. What do you think about that?
Speaker 1
I think that some of these fears around misuse of language models are well founded and they're well founded because of particular features of the Internet as we currently have it, you know. If we had a better model for identity, if we had a better model for communication, if we had a better model for publication that wasn't just ad supported and engagement driven. Then that's sort of like it. That would be a different petri dish and different bacteria with thrive in it. You know, right now we have a particular kind of environment and we're going to get a particular kind of like, you know, bacteria are fungus. Right. And so, L L M's. Yeah, man, they're going to turbo charge a lot of the bad stuff. Now, you know, to continue on with the analogy that I'm torturing to death here, I'm like, you know, let's bring in some UV light and let's change the temperature and let's change the humidity. And let's change these aspects of the environment that that make it profitable to deceive people at scale with phishing emails or that make it profitable to do. You know, mass disinformation campaigns and stuff like this, you know, let's change identity. Let's change the way we do trust verification, credentialing stuff like this. So, you know, there are there are answers to this that we can give that are different than just trying to kill L L M's, you know, trying to strangle them in the cradle. But, you know, their ecosystem answers, their structural answers. And they're not like silver bullet answers. The silver bullet that presents itself is like, let's stuff this genie back in the model, man. This is going to run rampant. You know, that's the silver bullet answer answer. And I think that that's the answer we're going to try and reach for with regulation and rules. And that I don't know that that's really going to work out very well.
Speaker 2
Do you think the so that was that congressional hearing with some ultimate last week, you know, calling for for federal licenses on any project that touches AI. Do you think that's, do you think that that's in good faith?

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