Barry Weiss
👤 SpeakerAppearances Over Time
Podcast Appearances
Meaning if there's an arms race, we want to win, but we don't want the arms race, period.
You mean collaborate with our enemies?
You mean collaborate with our enemies?
You mean collaborate with our enemies?
Are we doing that right now? With China on AI? Like, you know more than I do.
Are we doing that right now? With China on AI? Like, you know more than I do.
Are we doing that right now? With China on AI? Like, you know more than I do.
If Trump called you tomorrow and said, hey, Sam, I want to make you AI regulation chief. You can do whatever you want in this position. What's the first thing that you would do? What's the most important thing that the person in that position would do?
If Trump called you tomorrow and said, hey, Sam, I want to make you AI regulation chief. You can do whatever you want in this position. What's the first thing that you would do? What's the most important thing that the person in that position would do?
If Trump called you tomorrow and said, hey, Sam, I want to make you AI regulation chief. You can do whatever you want in this position. What's the first thing that you would do? What's the most important thing that the person in that position would do?
Bias and censorship in AI is an enormous topic and one that we think a lot about here at the Free Press. And, you know, the most obvious example of this, the one that trended for days and everyone was laughing at, was when Gemini generated those images of, like, a black George Washington and, like, a trans Nazi, and it was hilarious. Yeah.
Bias and censorship in AI is an enormous topic and one that we think a lot about here at the Free Press. And, you know, the most obvious example of this, the one that trended for days and everyone was laughing at, was when Gemini generated those images of, like, a black George Washington and, like, a trans Nazi, and it was hilarious. Yeah.
Bias and censorship in AI is an enormous topic and one that we think a lot about here at the Free Press. And, you know, the most obvious example of this, the one that trended for days and everyone was laughing at, was when Gemini generated those images of, like, a black George Washington and, like, a trans Nazi, and it was hilarious. Yeah.
In a way, it was really serious because it felt like only the most sort of like exaggerated, hyperbolic, obvious example of a much, much deeper endemic problem, which is the bias that is baked into these technologies, both because of the people programming those technologies and because of the information that they're sort of scraping online.
In a way, it was really serious because it felt like only the most sort of like exaggerated, hyperbolic, obvious example of a much, much deeper endemic problem, which is the bias that is baked into these technologies, both because of the people programming those technologies and because of the information that they're sort of scraping online.
In a way, it was really serious because it felt like only the most sort of like exaggerated, hyperbolic, obvious example of a much, much deeper endemic problem, which is the bias that is baked into these technologies, both because of the people programming those technologies and because of the information that they're sort of scraping online.
Talk to us about how you're thinking about it at ChatGPT because obviously the system that is closest to reality, it seems to me, will win in the end of the day. If a ChatGPT is giving me images of, you know, is telling me George Washington was trans, I'm like, I'm not going to rely on this. We don't do that. Okay, fine. But you understand my point.
Talk to us about how you're thinking about it at ChatGPT because obviously the system that is closest to reality, it seems to me, will win in the end of the day. If a ChatGPT is giving me images of, you know, is telling me George Washington was trans, I'm like, I'm not going to rely on this. We don't do that. Okay, fine. But you understand my point.
Talk to us about how you're thinking about it at ChatGPT because obviously the system that is closest to reality, it seems to me, will win in the end of the day. If a ChatGPT is giving me images of, you know, is telling me George Washington was trans, I'm like, I'm not going to rely on this. We don't do that. Okay, fine. But you understand my point.
How do you think about the problem of bias and how are you solving for it?