Using AI to Explore Contentious Issues with Different Debating Parameters
Key takeaways:
An AI language model can be programmed to steer debates and arguments toward certain parameters without misrepresenting either side
This can be used to learn about contentious issues in more depth and with varying levels of tension
It is difficult to navigate misinformation and debates on the internet, but AI language models have the capability to assist in this area
Transcript:
Speaker 2
And then I want to start rendering misinformation about the other, but it's good.
Speaker 1
You can steer it, you can steer it, or you can steer it, and you can say I want it to get as tense and argumentative as possible but still not involve any misrepresentation I want, you know, both sides, you could say I want both sides to have good faith, you could say I want both sides to not be constrained to good faith. In other words, like you can set the parameters in the debate and it will happily execute whatever path, because for it is just like predicting, it's totally happy to do either one it doesn't have a point of view. It has a default way of operating, but it's happy to operate in the other realm. And so, like, and this is how I, when I want to learn about a contentious issue, this is what I do now is like this is what I, this is what I ask it to do and I'll often ask it to go through five, six, seven, you know, different, you know, sort of continuous prompts and basically okay, argue that out in more detail. Okay, no, this argument's becoming too polite, you know, make it, or, you know, make it tensor. And yeah, it's thrilled to do it.
Speaker 2
So it has the capability for sure. It's true. So this is very difficult thing on the internet, but it's also a difficult thing. Maybe it's a little bit easier, but I think it's still difficult. (Time 0:20:19)
Differences Between the Apple Way and the Incremental Hacker Mentality
Key takeaways:
Successful tech companies can operate under two different approaches, the polished Apple way and the iterative hacker mentality.
Both approaches can lead to world-class companies and the question of which is superior is still unanswered.
Using both approaches can lead to different outcomes and software tends to do better with the iterative approach.
Transcript:
Speaker 2
Even if it in retrospect or during it felt like suffering. Yeah exactly. What does that teach you about the human condition huh.
Speaker 1
So look exactly so the Silicon Valley. I mean look he's not you know George Patton in the you know in the army like you know there are many examples in other fields you know that are like this. Specifically in tech it's actually I find it very interesting there's the Apple way which is polished polish polish and don't ship until it's as perfect as you can make it and then there's the sort of the other approach which is the sort of incremental hacker mentality, which basically says ship early and often and iterate. And one of the things I find really interesting is I'm now 30 years into this like. There are very successful companies on both sides of that approach right like that is a fundamental difference right and how to operate and how to build and how to create that you have world class companies operating in both ways. And I don't think the question of like which is the superior model is anywhere close to being answered. Like and my suspicion is the answer is do both the answer is you actually want both. They lead to different outcomes software tends to do better with the iterative approach. (Time 1:03:09)
