
Editing at @rootsofprogress. Heavily invested in tomorrow being better than today.
North Carolina
Joined January 2008
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Mike Riggs retweeted
Some big personal news: I'm moving to join Works in Progress as executive editor, starting next month. I have been hoping for an opportunity to work with @bswud and @s8mb for more than a decade, and I'm incredibly excited to finally have one.
WIP is expanding on every front right now. We'll soon begin coverage of business and finance, as well as putting out more reported features. To that end, we'll be hiring more writers and reporters in the year to come. I'm planning to remain based in the US to help build out our presence here.
The print edition of WIP has existed for less than 12 months, but sometime in the next week or so we will reach our 10,000th paying print subscriber. It's a group that now includes people who've been at the highest echelons of government and who run the world's biggest public companies. We’re already on track to 3x that number next year. We'll be in store at Barnes & Noble, Hudson News and independent newsagents next week too.
I think WIP is providing something that people are craving from physical media right now: fewer, extremely well-crafted pieces in a beautifully designed form. Issues now feature an amazing group of columnists, including Tyler Cowen, Dan Wang and Stephen Kotkin. Each edition is better than the last.
You'll see us in more and more places next year too. In January, our new weekly documentary films will launch on YouTube. We're expanding into the events space, with a new series in North America. The sky is the limit from here on out.
Mike Riggs retweeted
My debut for @thetimes: unraveling the mystery of why Germans are *so* into cash thetimes.com/world/europe/ar…
I had absolutely no idea that some states have laws granting grandparents visitation rights.
Conservatives need to decide if parents have rights over their children sometimes, or all the time.
Grandparent rights is about to become a third rail with elderly donors.
dailywire.com/news/the-next-…
Checked out my Amazon auto personalization page, and I am exactly as boring to Alexa as I anticipated.
Mike Riggs retweeted
If you're coming to Progress conference tomorrow, stop by my unconference session!!
It's called IS PROGRESS COMPATIBLE WITH PROSOCIALITY?
We're talking loneliness, birth rate decline, people taking their off leash dogs into the Safeway, etc.
THREAD of discussion q's:
Are the book-tok people not having kids? Readers should be breeders! The world needs our hyper-literate children.
Sounds trite, but reminding young people to focus on the journey and not the destination is how we keep them reading, writing, running scales, drawing, sculpting, carving, etc., etc.
Mike Riggs retweeted
The Girlboss holds a special place of fascination in the online fertility discourse.
She's too selfish. She's too careerist. She's destined to regret not starting a family when she was young.
The problem with this theory, @CathyReisenwitz and I write today @TheArgumentMag, is that the sharpest family-formation decline hasn't occurred among women who got college degrees and stepped onto the career ladder. It has occurred among those who did not.
In Gen X non-college women were 2 percentage points more likely to have married and had kids by age 40 than college women (76 percent vs. 74 percent).
The rates among Millennial women who have passed the age 40 benchmark look rather different.
Among Millennials, 75 percent of college women have married and had kids.
Just 68 percent of non-college women have.
Using methodology we borrow from @kearney_melissa, Cathy and I dig into these numbers, presenting marriage and fertility from a couple of different angles, and offer the best explanation we can come to. Like @PikaGoldin, we think more attention belongs on the male side of the marriage and parenthood.
While there's no single causal factor behind the cross-class fertility decline, the more comprehensive approach we take than pure birthrates suggests that to the extent that America is suffering from a family-formation crisis, it cannot be attributed to the ambitions of college-educated women.
It is a by-product primarily of the economic conditions affecting bottom-half men.
🧵 👩💻 👶 👷♂️ 🧵
My secret parenting trick for reducing screen time is to reproduce with someone who thinks tablets *in general* are a hideous waste of money. We can't cave on screen time if there's no screen.
Ari solves a Rubik's cube while Griffin coaches him from what it sees in his hands, and when he goes quiet to think, it waits. Its perception is always on, so it acts without being asked. Note: this actually blew our minds seeing happen live.
Mike Riggs retweeted
How old is the electric grid?
According to Wood Mac, Amazon, TIME, Reuters, and GE Vernova: "70% of transmission lines and transformers are over 25 years old"
According to yours truly: That statistic is 20+ years outdated. Stop circulating it
ryanalimento.substack.com/p/…
Mike Riggs retweeted
Credit to the Asterisk folks for running the only magazine piece I’ve come across that accurately describes some of what it’s like working blue collar.
As someone who took an entirely unplanned detour to work in and around construction for a couple years, nice to see some of the things I know tacitly get expounded on.
There’s commentary I’ve wanted to give on the experience for a while and never really had the opportunity, but one thing worth stating given the piece doesn’t emphasize it much is that blue collar work is just as much a culture as it is a set of jobs.
Your family structure, status markers, house of worship, hobbies, style of speaking, and even dreams are entirely separate from the white collar world in a way that makes transition between them quite difficult.
More broadly, there’s a lot of things I found enjoyable doing blue collar work (particularly the camaraderie), that are basically absent in the white collar world; but I admit, I do find the modern lionization of it distasteful.
It’s honorable work, its necessary work, its foundational work; but it’s also loud, smelly, dirty, and oftentimes painful work.
For an example, every time I spent the day out in the truck filling gennys/reefers/assorted big yellow machines, the first thing I’d do after coming home is shove my face into the orange tree in my backyard because I was desperate to smell something that wasn’t diesel (and stop the tinnitus). And I only did it for a bit!
These guys put a ton of wear and tear on their bodies, and it was rare that someone would make it to their fifties without at least one serious physical issue that they would have to deal with the rest of their lives.
I’m not saying that these costs mean blue collar work should be maligned, but l don’t think we should pretend it would be some great moral victory if our economy became more blue collar centric again.
And, one last note. Please, for the love of all that is holy, can we stop using the words “respect” and “dignity” when talking about blue collar work. Blue collar folks don’t need more respect and dignity (and honestly a lot of them are gossipy princesses). They need better, cheaper hearing protection, easier and more general powered lift assist systems, and much better tool support systems. If you really want to dedicate your time to helping blue collar folks, that’s what you should be working on.
Skilled trades are frequently thought of as a route out of poverty. But trades workers tell a different story.
@JesseTayRiver, a contractor who works in home remodeling, explains:
Mike Riggs retweeted
Anthropic is “destructively scanning” millions of books. Should you care?
My take is that what we are witnessing in the AI labs is no different than the season-to-season shifts in a bookseller inventory, the normal process of library deaccessioning, and the predictable churn in a country where three-quarters of a billion books are sold every single year.
Give it a read here:
siliconprairies.substack.com…
Mike Riggs retweeted
My first piece for @NewYorker is out today!
As Xi Jinping lands in DC to start his state visit, you'll hear a lot about the US-China AI race. I'd like to tell a complementary AI story.
This past May, a few days after Trump visited Beijing, I went to the town people call China's vibe-coding capital, Liangzhu. There, you learn that China's AI scene is not monolithic. It's also full of contrarians, cool vibe coders, spiritual seekers, and people who love AI but refuse to join the 996 grind.
Liangzhu is on the edge of Hangzhou. I hung out with a group of anti-mainstream builders who use AI to make whimsical apps for fortune-telling, mental well-being, and creativity. Some of them run their lives entirely by bazi astrology (their founder almost became a Taoist monk). They meet on "Crazy Thursday" to vibe-code together. Rent is cheap, so they can get a bigger place with a living room to have friends over (unthinkable in Beijing or Shenzhen). In Liangzhu, they want to use AI to forge their own future.
It’s a ground-level story—less about model capabilities, hyperscalers, or AI policy, and more about how people in China are using AI, and the human stories behind it.
What Jon describes here is why editing is still a human job. The LLM galaxy brain can "Yes, and" literally anything you write, which slowly but surely influences the direction of your piece.
Meanwhile, I'm pretty fucking dumb about 90% of topics. The writers I work with recognize this quickly and grant me only so much influence over their ideas. I can ask them to clarify, simplify, provide more context, etc., etc., but I cannot psyop them into anything.
It's important to know when you've psyopped yourself with an LLM. This is a really important skill in 2026. I had like 7K words of doomer takedown work I'd been whittling away at for a few weeks, typing it myself (i.e. human-written) but doing feedback in a really long Fable 5.1 session with tons of papers in it (which I read), dumping drafts in for feedback, etc.
I actually knew the bot was gassing me up, but I let it go because the main goal was actually to just do all this work in Symbolic and exercise the product (and also to compare models inside Symbolic vs. in the chatbot interfaces), more so than to write a big thing.
Anyway, I got this monster in really great shape (again, per the Fable session), with graphics and everything, but before publishing I fed it to a fresh Fable session and told it to have a go at it, and it cooked me lol.
Then I went back and forth with the critique session a bit, and it subtly started psyopping me again about how I was really onto this or that important thing. It's a Real Problem.
Hard disagree. Modern mining is more stimulating, more technical, and better-paid than fast-food service. Also, sales is a white-collar job, and closing deals is very different than closing parentheses.
Mike Riggs retweeted
Batteries are a huge national security issue. Globally, China makes 85% of the cathode active material and 90% of the anode active material and owns 80% of all cell manufacturing capacity.
If you believe drones are the future of warfare, as Ukraine and Iran are demonstrating, then we need Western battery supply.
Great site making this case: batterygap.com/
Mike Riggs retweeted
Glad to share my Q&A with @Jacob__Siegel. Here's a snippet of his conclusion on the rise of AI, end of rational control, and a 21st-century revival of mysticism:
"[T]he technocratic era is coming to an end this century. Human expertise and control over rational machines, on which technocracy rests, look like childish illusions in the face of super-powerful AIs whose programmers cannot understand their own creations. Deterministic rationalism is being swept away by inscrutable decision-making machines that operate at speeds beyond human reckoning. What comes next will be more like myth than enlightenment. We may yet see a return to the forms of idol worship that preoccupied the sages of the Hebrew bible."
I don’t advise reading just one thing about any policy, but if you find the AI risk debate kind of muddy, and/or get the sense that people are talking past each other at weird angles, Yishan’s piece is a good non-technical primer with illustrative and intuitive metaphors.
Maybe you have recently become aware of the AI safety debate and the arguments swirling around it.
If you want to understand them, you need to understand a couple things that almost everyone gets wrong:
There are TWO distinct classes of AI dangers, and it's VERY important to think about them separately, and not let one confuse you about the other.
Many many people (including many quite intelligent, clear-thinking people) do not effectively understand the fundamental differences between these two classes of dangers.
The first one has to do with the theory that an AI far superior to human intelligence (Artificial SuperIntelligence, or ASI) will inevitably wipe out the human race.
The second one has to do with the idea that powerful AI will result in very harmful things happening to many human beings, possibly all human beings.
Those two sound VERY similar, don't they?
They are DIFFERENT. Understanding how they are different is crucial if you want to think about or contribute usefully to any conversation about AI safety or AI harm. You might feel like you are Making Very Good Points or Asking Incisive Questions, but if you aren't clear on the differences between the two, you aren't.
So, I'm going to tell you what the difference is so that you can talk more usefully.
The first one concerns itself with a very specific thing, which is ASI (Artificial Superintelligence) that is more intelligent than any human being. When I say that, I am not referring to a thing like how Einstein is smarter than you, we are talking more about something like how a human being is more intelligent than any mouse.
In our regular lives, we meet other people who we can tell are smarter than us, vs some who are less smart. The line is fuzzy, because intelligence has a lot of dimensions. I'm better at a "rotating shapes" kind of intelligence than my wife, and she is better at "words-making" kind of intelligence than I am.
But every human is better in almost every dimension of intelligence than every single mouse.
That's the level we're talking about: an artificial superintelligence - made up of a computer or a network of computers - that is more intelligent than any human. And more intelligent by a long shot, by a wide margin, in an indisputable way like how humans are above mice.
That is the first thing.
The theory says that if you have an AI that is vastly smarter than all humans - in the way that a human is smarter than mice - that superintelligent AI will inevitably, eventually, sooner or later, wipe out every human on the planet.
We will refer to this as "existential risk."
The common follow-up question "well, how exactly is it going to do that?" is NOT the important question, and one of the most important elements of understanding this theory is first getting why that particular question is not important. A couple analogies:
Analogy 1: You are playing chess against a grandmaster. My theory predicts the grandmaster is going to beat you. You can ask "Well, how exactly is he going to do that?" I don't know, because I'm not a grandmaster, I just know that a chess grandmaster is almost always going to beat a normal player like you. And I'd be right. So the question "how is he going to do that" is not important, and doesn't affect the final outcome. He's going to figure out a way because he's way better than you.
Analogy 2: Humans are smarter than all other animals, comprehensively, by a wide margin. We have driven numerous species to extinction, not because we hated them or hunted them. Many of them have died out without most humans even ever thinking about them. All we did was expand our civilization, use up resources, encroach on habitats, and pretty soon the resources needed by those species went away and they died out. We figured out a way to get what we wanted because we're way smarter than them, and often we didn't even notice they died as a result.
A lesser animal asking, "how are the humans going to wipe us out?" is not asking a relevant question. We don't know, but we do know that any time humans and lesser species compete for any kind of resources, the humans will win. The fact that we know who is going to win beforehand - and that it is due to the vastly different levels of intelligence - is the key concept here.
A vastly more intelligent AI is likely to care about things that are incomprehensible to us, the way animals can't understand human goals. It's going to need resources to pursue those goals and it's going to be far more effective at gaining control of them and excluding us from them - in the same way that we are far more effective than other lower species.
A much more intelligent AI will not care about our interests, it will care about its interests, and to whatever small degree we happen to escape total annihilation from losing access to all our resources, any remaining humans will likely be enslaved into a system that serves the AI's own purposes.
That is the first thing. (Remember how I said at the beginning of this post that there was a first thing, and then a second thing?)
The first thing is the most difficult to understand, because you have to extrapolate how a vastly superior intelligence would act, and you can only use analogies like "how do humans treat lesser creatures," and the analogies are messy.
But now let's move on to the second thing.
The second thing is "everything else you've ever heard that AI might do that's harmful."
That's a little inaccurate. It's actually "everything else you've ever heard that humans might use AI to do that's harmful."
This is the critical difference. The first one talks about the inevitable outcome of what happens when two vastly different levels of intelligence collide, e.g. ASI vs humans, or human vs mice.
The second one has to do with what happens when humans possess AI as a powerful tool. This second thing is much easier to understand, because we have many more concrete notions:
Like:
- the military uses AI to make hyper-efficient killer drones and missiles
- your capitalist overlords use AI to replace you and everyone loses their jobs
- authoritarian government uses AI to surveil everybody and control the entire population
- hackers use AI to break into secure networks and hold companies and governments hostage
- students use AI to cheat on homework and show up to college knowing nothing
- AI slop saturates the internet and makes it impossible for artists and writers to make a living
- terrorists use AI to make biological or nuclear weapons
or even things like
- the military hands control to an AI and it misinterprets something and launches nuclear attacks and kills millions
All of those sound pretty familiar, right? Yeah, you've heard them before. We call this second thing "risks from misuse."
These problems are not the first class of problem! This second class of problems exists while AI is a tool that can be controlled by humans, and humans use it to do evil or careless things to each other. The problems may sound exotic or dystopian or novel, but they are fundamentally problems having to do with flawed human nature.
Given a powerful tool, some humans will likely use it to control or otherwise harm others. This is a very familiar problem.
I am not condemning or condoning this. I'm just describing it.
That is a fundamentally different danger from the first thing, which is that when a human is far superior to a mouse, the mouse is likely to come to harm because the human cares about doing human things, and the mouse is not gonna make it once the humans get going.
=====
Hopefully from the above, you have understood the difference between the first thing and the second thing. I will list them again - see if you now understand how they are different:
The first one has to do with the idea that an AI superior to human intelligence (Artificial SuperIntelligence, or ASI) will inevitably wipe out the human race.
The second one has to do with the idea that powerful AI will result in very harmful things happening to many human beings, possibly all human beings.
Can you tell how they are different now?
If not, re-read the stuff from earlier until you understand.
We call the first one "existential risk" and we call the second one "risks from misuse."
Once you understand, here is the CRUX of the problem:
SOLUTIONS TO THE SECOND THING DO NOT HAVE ANYTHING TO DO WITH SOLUTIONS TO THE FIRST THING.
In fact, it's worse:
Solutions to the second thing (misuse) look roughly like "give powerful AI to as many people as you can, so they can fight the other people using powerful AI."
But the general solution to the first one (existential risk) is basically "don't let anyone have powerful AI, no one can control super-intelligent AI."
Throughout history, harms from technological misuse typically arise because a small group has control of it and can use it to dominate or harm others. Once everyone has it, things tend to stabilize: you can hurt me, I can hurt you, maybe we test each other (ouch 💥), and then we agree not to hurt each other.
But the first one (existential risk) pretty much just arises if anyone (good or bad!) creates a superintelligence. Because they aren't going to be able to control it, the superintelligence will decide it has other priorities, and then we will be at great risk of being wiped out.
And the solutions that generally work to solve problems like the second thing are EXACTLY THE OPPOSITE of the ones likely to solve the first thing.
THIS is why lots of arguments about "AI risk" or "AI safety" go nowhere. Because someone will be thinking about the risk from the first thing, and another person will be thinking about the risk from the second thing. Both are plausible risks but fundamentally they arise from different things - and so the solutions are not just "bad" or "flawed" - they are likely to be very nearly exact opposites.




























