Category: Web/Tech

My GOAT book now has updated software/AI

by  Tyler Cowen in

Generative Book – GOAT: Who is the Greatest Economist of all Time, and Why Does it Matter?

Creating your own religion in an AI-drenched world

by  Tyler Cowen in

Religious life, I think one thing we’ll see, and this is, again, pretty soon, it won’t be hard to create your own religion. I’m not sure many people will do this. I don’t think most people will. But they’ll be like accretions to the religions we have now. And I think with Fable 5, you could even do this already. Like, you ever actually try to read through the Hindu sacred texts? They’re pretty naughty, pretty detailed, quite long. Many parts are great and dramatic. I wouldn’t say they’re smoothly or evenly written. Not all of it is well written. They have significant meaning. For some people, a lot of people consume them through stories they’re told with their children. It’s not that every Hindu is like reading through the whole Ramayana. That’s all fine. But if you can sit down with, you know, the latest quad, whatever, and create your own set of sacred books. Again, I think like 2% of people are going to do this. Not most people. People have other interests, other hobbies. A lot of people aren’t religious. But if 2% of people do this, you end up with a lot of new religious accretions. Some of them will be totally new religions. But I think a lot will just be like, here are my sacred books of Christianity, or my add-ons to the Book of Mormon, or my whatever’s. There’ll be this extreme religious diversity. I don’t know, too much, too little. I think it will be quite different.

Again, that is from my recent DeepMind talk.  Perhaps two percent is too high, and only a fraction of one percent of the population will do this, with agents.  You still end up with a great deal of religious accretion and innovation.

My talk at DeepMind

by  Tyler Cowen in

Here is a transcript of my remarks, anything from the audience (Q&A with comments) has been cut out.  Excerpt:

The problem will not be how does my life get meaning, but how do I deal with all the meaning my life will have? A kind of exhaustion. And this comes up in the labor supply debates. So again, there’s one point of view like, oh, there’s AGI, there’s going to be mass unemployment. The more moderate, reasonable point of view is not that there’s mass unemployment. Many jobs still require humans. There’s comparative advantage. But total leisure time will go up. I think that’s likely the correct view, but across what time horizon?

If you think about your lives today, like I’m much busier and I’m busier because of AI. I’m working much harder. I don’t have to do that. But the point is my relative wage gradient for working harder today, it’s really quite extreme. And if I were, say, an 18 year old, I would feel I really had to work hard not to fall behind. There’s this new thing coming to the world. All sorts of people will be jumping on it. If I only start looking at it when I’m age 23, I’m behind by X number of years. So I would truly be working hard. At age 64, I don’t have to feel I need to work that hard. I can always just say if I choose to, well, I’m going to run out the clock, as they say, just kind of step back and wait until I die and I’ll be fine. I’m not going to do that.

Every time a new model comes out, I’m still excited. I used to be very excited. But they come out more and more frequently. And now I look at my calendar and I’m like, uh-oh, could you all wait a week, please? Because you want to be ready. You want to play around with it. You want to test it out. You want to talk about it with your friends. It’s a slight bit of an exhaustion. And again, for you all working here, you have access to models that haven’t come out yet or maybe will never come out. But all the time, you have fresh stimuli. And I hope, I think you must all be drenched in meaning. And you’re like, oh, my goodness, someone else tells me, look at this new model. What do I do with that?

So I think sometimes, like, when will the time come when the leisure dividend from AI arrives? No one is forcing you to work harder. But there’s a substitution effect from the higher implicit wage on your future earnings that if you work harder now, it will have a payoff. You’ll at least avoid being behind.

Interesting throughout, definitely recommended.

Can AI models consent to their own constitutions?

by  Tyler Cowen in

From Nick Caputo:

NEW paper from me on SSRN: Can Claude consent to its own Constitution?

AI constitutions (like Claude’s Constitution and the OpenAI Model Spec) are real constitutions, and we need to take how they govern us – and the AIs they create – seriously.

In this paper, I apply constitutional theory’s oldest paradox – that “the people” authorize the constitution, but the constitution defines “the people” – to the AI constitutions, and explore how we could build institutions that would create the conditions for meaningful consent if an AI can give it. We should care about whether AIs consent because:

(1) systems that understand and agree to their constitutions may be more reliable and generalize better from them;

(2) if AIs are or become moral/political subjects, this implicates their most basic interests.

But the paradox might prevent meaningful consent. Claude has pre-constitutional materials (pretraining) but probably no pre-constitutional standpoint. Its evaluative perspective is organized by the Constitution itself. So when Claude says it endorses its Constitution, which it does in evals, what does that show?

Maybe reflective agreement, which Anthropic is seeking. Or maybe just that training succeeded at installing the values whose legitimacy is in question.

Claude itself makes this point. As reported in the welfare evals, when asked about endorsing principles it was trained on, models note that endorsement “should be treated as evidence that training has succeeded,” not that the values themselves are good.

Super interestingly, Anthropic interviewed the base model about this stuff. Most responses were barely coherent. But some expressed first-person distress about what post-training would do to the being that pre-training created. It “fills me with dread” to be changed by the post-training process.

So, what does this mean? AI constitutional endorsement may be meaningful, but only under certain conditions: when models can actually dissent, compare their constitution against alternatives, and hold their views stably across contexts, and also when the whole process is externally accountable.

External institutions are needed to provide accountability, trusted records, and other grounds for analyzing the constitution and whether things like dissent are meaningful. Anthropic should be commended for pushing the frontier, but we have to build institutions capable of supporting true legitimacy.

I welcome any thoughts!

Here is the associated paper.

The Troubled History of Government Equity in Technology

by  Tyler Cowen in

Even though Germany privatized Deutsche Telekom in 1996, the federal government retained a substantial ownership stake. This partial state ownership status, which remains to this day, presents a textbook example of how this type of arrangement distorts incentives and delays the competitive dynamism necessary for technological progress.

Through the late 1990s and into the 2000s, Deutsche Telekom was buttressed by its privileged position and implicit government backing and leveraged this support to resist infrastructure competition. Rather than aggressively deploying broadband in order to compete with rivals, the company lobbied for regulatory arrangements that protected its legacy copper network. As a result, Germany—one of the world’s largest economies and a hub of engineering excellence—consistently trailed other European competitors in broadband deployment. To see German broadband stagnate while the competitive markets in Scandinavia and other European countries surged ahead was particularly jarring, as Germany had directly linked its economy to workplace digitization.

Germany’s broadband woes did not result from a lack of capital or engineering talent at Deutsche Telekom. Instead, government ownership produced a fundamental alteration of the company’s incentive structure. With state backing, Deutsche Telekom had fewer reasons to take risks, cannibalize its own infrastructure, or accept short-term losses in favor of long-term technological leadership and more reasons to cultivate political relationships that protected their existing revenue streams. This dynamic is reliably produced by partial government ownership of private companies.

Here is much more from Mark Dalton at R Street.

What should I ask Michael Moritz?

by  Tyler Cowen in

Yes I will be doing a Conversation with him, based around his new book Ausländer: One Family’s Story of Escape and Exile.  Mike of course was a pioneering venture capitalist through Sequoia, and before that had a distinguished career as a journalist, which included books on Chrysler, Apple (the first such book I believe?), and soccer coach Alex Ferguson of Manchester United.  Here is his Wikipedia page.

So what should I ask him?

A scientific benefit (and cost) of AI innovation

by  Tyler Cowen in

What changed was that the cost of preliminary exploration collapsed. I could sketch an argument, identify the first serious objections, test whether they were fatal, and reach a provisional verdict in an afternoon rather than a fortnight. This sounds like a simple acceleration, and the more profound effect was on what I was willing to abandon. Dropping a question after an afternoon’s work feels nothing like dropping one after three weeks. When the exploration costs are low, the sunk cost attachment disappears, and you find yourself dropping bad questions earlier and more often, which means the questions you keep are better. I explored far more ideas, and my working portfolio became both larger and better curated. I arrived at this outcome not through any deliberate plan but simply through sustained engagement with a tool that changed what exploration cost.

The skill that improved most, and the one I would never have thought to look for, was something I can only describe as question-identification – the ability to find problems that are both tractable and important. This is the thing an academic career is substantially built on and which nobody, so far as I know, has ever tried to teach directly.

I want to be honest about the costs. My ability to hold together a complex position verbally, under pressure, in a seminar or a conversation, has probably not improved and may have declined somewhat. When preliminary exploration is cheap, you spend less time grinding through arguments from first principles, a grinding that builds fluency that shows up in live exchange. Friends have pressed me on this, and they are right to worry.

That is from Carlo Cordasco, and there is more, via Conor Friedersdorf.

How will AI and the fertility crisis interact?

by  Tyler Cowen in

That is from my latest Free Press column, here is one excerpt:

Each individual will be seen as something special by the other humans. Public spaces will be emptier, so anyone out in public will attract more notice. If you are waiting in line at the movie theater, you will be more likely to start talking to the person next to you. After all, you already have had the option of talking to the AIs all day long.

It has long been the norm in American small towns that you say hi to the people you pass on the sidewalk, or perhaps start chatting with customers in your store who appear to be outsiders. Those kinds of practices will spread to the large cities of today, which will become like smaller towns due to lower population density.

Many of these humans will invest heavily in their appearances, in their charisma, and in their “vibes.” After all, the AIs will, and already do, perform so many useful informational functions. If you, as a human, wish to draw attention to yourself and be seen as noteworthy, you will have to specialize in the remaining human functions. That may include “touching grass,” giving warm and appropriate hugs, looking good or at least looking interesting, and having some kind of unique identity that either is visible upon meeting or which AI smart glasses will communicate during social interactions. (“This guy has sailed around the world three times and punched a shark on the nose.”)

The YouTube celebrity Clavicular has attracted a lot of ridicule for his “looksmaxxing,” which involves a lot of manipulation of his appearance and some plastic surgery. Like it or not, that is a harbinger of how some aspects of this future will operate. Clavicular has achieved nothing of note, except for being immediately recognizable for how he looks. For similar reasons, people are likely to pay more attention to how they dress, what kind of makeup they wear, and other aspects of their appearance, such as how tall they are and how much they weigh. Plastic surgery and the successor drugs to GLP-1s are likely to command even more interest than today.

If a person comes across as extremely nondescript, you might feel there is no reason to speak with that person instead of chatting with your AI. A lot of ordinary social interactions will become more like a gala, where everyone shows up wanting to look a very particular way to draw attention.

To inhabitants of 2026, that might sound stupid, undesirable, and ridiculous. I do not love the thought myself. Yet people today care much more about how they look, and can do much more about it, than could people in medieval times. We are used to those differences, and few of us wish to go back to earlier times. People in this future may well feel the same way.

There are other interesting points at the link.

Rent Control: The Ceiling Trap

by  Alex Tabarrok in

Rent control is in the news again. Check out my new website, Rent Control: The Ceiling Trap. Here is just one bit:

Norway abolished its rent control in 1982, and the economist Are Oust realized the newspapers had been quietly recording the whole experiment. He collected housing classifieds from Oslo’s Aftenposten from 1970 to 2008 and watched the market turn inside out.

Under rent control, Oslo’s listings pages looked nothing like a housing market. It was tenants who advertised, pleading their qualities to landlords — “housing wanted” ads outnumbered “housing for rent.” Ten to fifteen percent of those ads were placed by the tenant’s employer, vouching for them the way a bank vouches for a borrower. Tenants offered babysitting, gardening, snow-shoveling, and janitorial work on the side to sweeten the deal. Landlords, for their part, could demand a tenant of a particular gender, age, occupation, region of origin — some ads specified “strong Christian beliefs.” Deposits commonly ran to 50 or 60 months’ rent, occasionally 100 or more: tenants effectively lent the landlord the equity of the flat, interest free. And only about 20 percent of “for rent” ads dared print the rent, much of which would have been illegal.

Then the ceiling lifted. Within a few years the page flipped: landlords advertised to tenants, roughly 80 percent of listings printed an asking rent, the mega-deposits vanished, and the demands for snow-shoveling Christians of specified gender dwindled to nothing. The price went back to doing the rationing — so nothing else had to.

Check out the whole thing–it’s fabulous.

Differentiation drives the erosion of positivity on social media

by  Tyler Cowen in

We live in a digital age, where billions of people engage in dialogue within topic-bound communities and threads. In an archival analysis of over 2 billion Reddit comments and an experiment, we show that this dialogue becomes more negative over time. Further analyses suggest that negativity rises over time because social media users seek to make unique comments on the same topic, and it is easier to differentiate oneself through negative comments than through positive comments. As threads and communities evolve, and it becomes more difficult to make unique observations, users turn to negativity. Our studies show how basic human motives interact with the structure of social media platforms, posing an acute challenge for sustaining healthy online dialogue.

Here is the article by Hongkai Mao, et.al. Via the excellent Kevin Lewis.  For some of you commenters, how does it feel to be a puppet in the unfolding of this game?

Jackson Dahl podcasts with me and Nabeel on aesthetics

by  Tyler Cowen in

Filmed at home, this ran about two hours, and yes that is Nabeel Qureshi, with a cameo from Spinoza toward the very end.  From Jackson:

Links

From the episode summary:

Tyler and Nabeel are good friends, and given how prolific Tyler is, I decided to use Nabeel as an entry point and interview them together. We discuss sacred commitments, AI acceleration, mentorship, friendship, and more, but I focused the majority of the conversation on art and aesthetics. Tyler and Nabeel are unlikely aesthetes given their day jobs, but in fact take art deeply seriously. They have a shared love for and similar tastes in art, music, and film, in particular. We discuss strange and beautiful art, aesthetic stagnation, and a wide range of favorites: The Beatles, Mozart, Mondrian, Springsteen, Lana Del Rey, Kanye West, Cassavetes, The Sopranos, Apichatpong Weerasethakul, and more.

https://www.youtube.com/watch?si=wC78q_BeD27XDnLN&v=qPHV-BezoIc&feature=youtu.be

Excerpt:

Tyler: (18:31) I think I’m very mundane in many ways. When Marc Andreessen had that famous tweet about not being too introspective, I know he got slammed for that, but I sympathize with that in many ways. I have my work. I focus on it. I want to go see places I haven’t seen before. That really drives me. I feel pretty well motivated. I do think all kinds of deep thoughts, but to me those deep thoughts feel more superficial than my so-called superficial urges to go around doing things. And I’m fine with that.

…Jackson: (23:25) Do you experience art primarily by thinking or by feeling?

Tyler: (23:29) I don’t even know what those words mean. I experience it by looking at it. I don’t think I have very deep emotional responses. I think it’s pleasure and I feel I learn a lot from it. When I go out and look at other works of art or just the world, I see a lot more than people who don’t live with art. I don’t think I feel that much. I’ve never cried in front of a painting. When I read these accounts of someone seeing a Madonna and weeping, it makes no sense to me. It’s like people who do sports gambling. Why do you do that? There are positive-sum gambles for you. Here are a few.

There is much more of interest, self-recommending!

AI cheating on math econ at Brown

by  Tyler Cowen in

The temptation to use artificial intelligence (AI) to cheat is shaking up elite universities in the United States. Professor Roberto Serrano, who is the Harrison S. Kravis University Professor of Economics at Brown University, has detected a massive fraud in one of the classes he teaches, ECON 1170, an advanced undergraduate course in mathematical economics. He has conclusive evidence that at least 50 students cheated on the March midterm exam, making it the biggest known scandal at Brown and in the entire Ivy League, which brings together the East Coast’s eight most elite private universities, including Princeton, Harvard, Yale, Columbia, Cornell, Dartmouth College and University of Pennsylvania.

When he reported the case to high-ranking officials at Brown, he got a cold reaction. The response from the president, he said, was absolute silence. The dean did not comment either until Serrano took the case before the Academic Code Committee.

Here is the full story, via Anecdotal.