n the simulation. One explanation is oh it's just a coincidence. The other explanation is well stories about bike accidents were always out there, you just didn't notice until you were primed for it. Or number three, I caused it to happen. Not only did I cause the accident but I caused the news story about the topic. So that's how I experience life. Like I just caused it. I don't know if it's true but I also don't know anything else is true.

Well enough about me. The Wall Street Journal is reporting that the bar exam for lawyers is going to be made easier so that more black people can become lawyers. So that's actually in the news. That's a real story. Now of course the story doesn't say black people. Yeah, they have to wink at you. Well it's to make it fair for everybody, you know. But you know that they're talking about. So what do you think about that? Well I'll tell you, if I were currently a black lawyer and I had passed the hard bar exam, I would not feel good about being presumably thrown in with the people who did not pass the hard bar exam. I got a feeling that people are going to be like, I don't know, did you pass the real bar exam or the new fake bar exam, the easy one? I'm not sure. So I feel like we are not considering the side effects of some of our decisions.

You know, as I've said before, historically I've always supported efforts to increase inclusion and equity and not equity but equality of opportunity and all that, including even affirmative action historically. But at some point — am I wrong that at some point it gives you more downside than upside? Am I wrong about that? That at some point you could argue whether we're there or not, but at some point you need to stop doing it before you've reached total equality. If you keep pushing it all the way to everybody's equal all the time, there's no way that's good for everybody. It's just going to be such a fight. But you know in the early days when the disparities are gigantic, yeah, maybe you have to do something a little more aggressive. But at the moment I really think we need to rethink this stuff.

All right, I saw another tweet from somebody who's joining my opinion that are worried about AI, at least the current version, and it's not nearly as useful for a lot of things as you think it will be. So here's what AI will be good for: really, really good at complex searches. So it's a better search engine. Really good at summarizing articles, which I would just call a search engine. So I saw somebody say oh it's really good at summarizing the pros and cons of all these articles about some topic, to which I say you mean the search engine? It's just a really good search engine. Oh yeah, I mean it's really, really good but it's also unreliable. So you've got that. But when it works it works pretty awesome.

And then you know it's going to be good for helping people who are already programmers code, and you know lawyers will be able to research case law and stuff like that. So there'll be a number of professions in which if you're already an expert in that profession — a writer, researcher, lawyer, whatever — it's really going to help. But it doesn't look like it's coming anywhere near taking jobs. It looks like it's just going to make people work differently.

And so when I said I'm not worried about AI becoming an existential threat in its current form, the pushback I got was, Scott, oh wow, if I may give you some condescending opinion about this. Whoa wow, boomer, boomer, let me explain to you. No, we're not worried about the current version of AI, boomer. No boomer, we're worried about where it's obviously going. You know, yes maybe version 1.0 is not going to destroy the world but obviously as it gets smarter and smarter the risk increases. And boomer, oh boomer please, please boomer, I just, maybe you shouldn't even talk about things you don't know about please. To which I say your genius idea that a rabbit can evolve into a truck is not persuading me. Oh yeah, bad microchips do evolve into better microchips. That's the thing. Bad smartphones do evolve into better smartphones. Totally. Bad cars evolve into better cars. Yep. But not once in the history of the whole universe has a rabbit turned into a truck. And that's what's happening with AI. Because the large language model is never going to be smart. It's just going to be really good at organizing information. And what it takes for AI to become smart has not been invented. It hasn't been inv