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Back to episode — Episode 3000 CWSA 10/26/25

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dementia risk based on how much music you listen to? Do you think that's true? It might be. It might be. I won't rule this one out. It seems to me that anything that engages your mind would probably reduce your risk of dementia. Every other time we look at anything that activates your mind. Yeah. Some disagree. I'm a famous anti-musicer because I think if you have a regular life, music is just po…

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t marching around with other people who have the same viewpoint would be a form of group therapy.

And I thought to myself, you know what? It is group therapy. And you know what else? I'll bet it works. I'll bet it works. Just feeling validated by marching around with people who agree with you and tell you that you're right on point. Oh yeah, you see the world clearly. You don't have any mental problems. There are just real problems in the world. It's called Donald Trump.

So if you see these protests as more group therapy, everything makes sense. Like all the pieces come together. It's like, oh, now I get it. It's just group therapy. That's why there's no violence, right? That's why there's no looting because that's not why they're there. They're not there to change policy because that's when things get a little violent. When they're trying to change something, they're not really trying to change anything except how they feel and then it explains everything.

Well, according to WTF detective, whatever that is, a study in Michigan State University said that one in five adults don't want children and that people decide early in life that they don't want them and they actually stick to it. They don't change their minds. Do you think we're in trouble if only 20 percent of the people don't want children? Because it feels like that's not that different than it ever was. Was it? Did 20 percent, was it always true that more than 80 percent of people had children? I feel like 20 percent is sort of what it's always been. Or was it 10 percent. I don't know. Maybe it doubled.

All right. There's a new economic study out by Nicole Gennaioli, Tobias and Kretschmer. It's in the whatever that is. Anyway, so it's a new economic study and what they did was they wanted to study to find out if confusopolies are real and if they're being used. Now, have you ever heard that word, confusopoly? It was coined in the 90s. Do you know who coined that phrase in the 90s? I did. It was in my book. I think it was in "The Dilbert Future." It's now in the economic literature. So if you were to Google confusopoly, you would find out that it's attributed to me. I think Wikipedia still talks about it.

And the theory that I invented in the 90s is that big companies that had confusing pricing were being confusing intentionally because their product was the same as their competitors. So the only way they could argue that you should buy theirs is if you couldn't tell the difference between theirs and somebody else's. So the confusopoly is the idea that cell phone companies and insurance companies, I use them as my examples, they would give you pricing that you could not compare to anything else. So the cell phone company would be like, well you're paying by minutes but this one has rollovers but only for family members but you have to pay first to be eligible for the rollover but you had to buy your phone instead of. Yeah. So even AI wouldn't be able to figure out which phone service was best for you. Nor could you necessarily easily tell if you had coverage in the places that you were personally going to go. It's easier now, but in the early days you couldn't even tell if you'd have coverage.

So that's a confusopoly. Everybody gets their piece of the business because they all sort of collude without colluding to be confusing and they know that they all know that that works. So this economic study was done and they concluded that it is highly plausible that the firms do act in a confusopoly fashion. So now it has some actual rigorous economic backing to the confusopoly thing.

Have you ever tried to buy insurance? Oh my god, insurance is just a monster of complexity and confusopoly.

According to the New York Post, Georgia Worrell is writing that US homeownership dipped in 2025 for the first time in nearly a decade. And that is mostly because of interest rates. I think interest rates plus the general affordability of everything is worse. So it's not a big change. It's just a tiny little downtick, 0.1 percent. But we need US home ownership to go up. You don't last long if that goes down forever. That's not a good sign. But it's just a blip at the moment.

I talk about this all the time, but this market is developing, the loneliness market, especially for senior citizens. So now there's a new AI startup called MA that's like a little chatbot for your senior citizen family members. And apparently they like it. They're pretty happy with it, the seniors. Now the part I don't understand is that the company slightly added a memory to it so that your little chatbot will remember your conversations, to which I say, okay, how could that possibly be true that they added memory to it that they don't have memory on ChatGPT, at least memory that's going to be reliable. Grok doesn't have memory. It has memory during the conversation, but it doesn't remember you when it comes back.

So are you telling me that this little app for seniors has cracked the hardest part in AI that literally nobody can crack? I don't think so. I think maybe the old people don't know that it has the wrong answers. Maybe their memories are as bad as the app, so they can't tell the difference. Forty bucks a month gets you one. If I did not have all of you, I'd be using that app. I mean, why not?

All right, here's another Scott was right without being an expert. It's Scott against the experts today. So the head of Meta's AI is this guy Yann LeCun. You may have seen him. He gets a lot of attention. But he was in some event and he was saying that the current way that we trai

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n AI will never get you to intelligence basically and that the whole pattern, you language, the large language models, you could train them forever and it would never create intelligence. So the head of AI at Meta is saying exactly what I've said for two years, that there's no logical way you can get from pattern recognition of words to intelligence. But it might look like people. It might look a…

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