Category: Science
The Interface as Infernal Contract
A brilliant critique of AI, and a great read:
In 1582, the Holy Roman Emperor Rudolf II commissioned a clockwork automaton of St. George. The saint could raise his sword, nod gravely, and even bleed—a trick involving ox bladder and red wine—before collapsing in pious ecstasy. The machine was a marvel, but Rudolf’s courtiers recoiled. The automaton’s eyes, they whispered, followed you across the room. Its gears creaked like a death rattle. The emperor had it melted down, but the lesson remains: Humans will always mistake the clatter of machinery for the stirrings of a soul.
Fast forward to 2023. OpenAI, a Silicon Valley startup with the messianic fervor of a cargo cult, unveils a St. George for the digital age: a text box. It types back. It apologizes. It gaslights you about the Peloponnesian War. The courtiers of our age—product managers, UX designers, venture capitalists—recoil. Where are the buttons? they whimper. Where are the gradients? But the peasants, as ever, adore their new saint. They feed it prompts like communion wafers. They weep at its hallucinations.
Let us be clear: ChatGPT is not a tool. Tools are humble things. A hammer does not flatter your carpentry. A plow does not murmur “Interesting take!” as you till. ChatGPT is something older, something medieval—a homunculus, a golem stamped from the wet clay of the internet’s id. Its interface is a kabbalistic sigil, a summoning circle drawn in CSS. You type “Hello,” and the demon stirs.
The genius of the text box is its emptiness. Like the blank pages of a grimoire, it invites projection. Who do you want me to be? it hisses. A therapist? A co-author? A lover? The box obliges, shape-shifting through personas like a 17th-century mountebank at a county fair. Step right up! it crows. Watch as I, a mere language model, validate your existential dread! And the crowd goes wild.
Orality, you say? Walter Ong? Please. The Achuar share dreams at dawn; we share screenshots of ChatGPT’s dad jokes at midnight. This is not secondary orality. This is tertiary ventriloquism.
Make Sunsets: Geoengineering
When Mount Pinatubo erupted in 1991 it pushed some 20 million tons of SO₂ into the stratosphere reducing global temperatures by ~0.5°C for two years. Make Sunsets is a startup that replicates this effort at small scale to reduce global warming. To be precise, Make Sunsets launches balloons that release SO₂ into the stratosphere, creating reflective particles that cool the Earth. Make Sunsets is cheap compared to alternative measures of combating climate change such as carbon capture. They estimate that $1 per gram of SO₂ offsets the warming from 1 ton of CO₂ annually.
As with the eruption of Pinatubo, the effect is temporary but that is both bug and feature. The bug means we need to keep doing this so long as we need to lower the temperature but the feature is that we can study the effect without too much worry that we are going down the wrong path.
Solar geoengineering has tradeoffs, as does any action, but a recent risk study finds that the mortality benefits far exceed the harms:
the reduction in mortality from cooling—a benefit—is roughly ten times larger than the increase in mortality from air pollution and ozone loss—a harm.
I agree with Casey Handmer that we ought to think of this as a cheap insurance policy, as we develop other technologies:
We should obviously be doing solar geoengineering. We are on track to radically reduce emissions in the coming years but thermal damage will lag our course correction so most of our climate pain is still ahead of us. Why risk destabilizing the West Antarctic ice sheet or melting the arctic permafrost or wet bulbing a hundred million people to death? Solar geoengineering can incrementally and reversibly buy down the risk during this knife-edge transition to a better future. We owe future generations to take all practical steps to dodge avoidable catastrophic and lasting damage to our planet.
I like that Make Sunsets is a small startup bringing attention to this issue in a bold way. My son purchased some credits on my behalf as an Xmas present. Maybe you should buy some too!
What should I ask Theodore H. Schwartz?
Yes I will be doing a Conversation with him. He is a famous brain surgeon and author of the recent and excellent book Gray Matters: A Biography of Brain Surgery.
Here is his Wikipedia page, and an opening excerpt:
Theodore H. Schwartz (born May 13, 1965) is an American medical scientist, academic physician and neurosurgeon.
Schwartz specializes in surgery for brain tumors, pituitary tumors and epilepsy. He is particularly known for developing and expanding the field of minimally-invasive endonasal endoscopic skull base and pituitary surgery and for his research on neurovascular coupling and propagation of epilepsy.
Here is his home page. So what should I ask him?
Asimov Press has a new kind of book
Today we launched our second Asimov Press book…The book’s theme is “technology,” and so we encoded a complete copy of the book into DNA, and are making those DNA copies available to consumers for the first time.
We worked with three companies (CATALOG, Plasmidsaurus, and Imagene) to make 1,000 copies of the DNA and package them into stainless steel capsules under an inert atmosphere, thus preserving the nucleotides for tens of thousands of years.
Announcement: https://www.asimov.press/p/technology-book
X: https://x.com/NikoMcCarty/status/1874859187676852636
Website: https://press.asimov.com/books
What should I ask Carl Zimmer?
Yes, I will be having a Conversation with him. Here is Wikipedia on Carl:
Carl Zimmer (born 1966) is a popular science writer, blogger, columnist, and journalist who specializes in the topics of evolution, parasites, and heredity. The author of many books, he contributes science essays to publications such as The New York Times, Discover, and National Geographic. He is a fellow at Yale University‘s Morse College and adjunct professor of molecular biophysics and biochemistry at Yale University. Zimmer also gives frequent lectures and has appeared on many radio shows, including National Public Radio‘s Radiolab, Fresh Air, and This American Life…He is the only science writer to have a species of tapeworm named after him (Acanthobothrium zimmeri).
There is much more at the link. Carl has a new book coming out, namely Air-Borne: The Hidden History of the Air We Breathe, an in-depth look at the history of aerobiology. So what should I ask him?
The Unbearable Slowness of Being: Why do we live at 10 bits/s?
This article is about the neural conundrum behind the slowness of human behavior. The information throughput of a human being is about 10 bits/s. In comparison, our sensory systems gather data at ~10^9 bits/s. The stark contrast between these numbers remains unexplained and touches on fundamental aspects of brain function: What neural substrate sets this speed limit on the pace of our existence? Why does the brain need billions of neurons to process 10 bits/s? Why can we only think about one thing at a time? The brain seems to operate in two distinct modes: the “outer” brain handles fast high-dimensional sensory and motor signals, whereas the “inner” brain processes the reduced few bits needed to control behavior. Plausible explanations exist for the large neuron numbers in the outer brain, but not for the inner brain, and we propose new research directions to remedy this.
That is by Jieyu Zheng and Markus Meister, via Rohit.
How Socio-Economic Background Shapes Academia
We explore how socio-economic background shapes academia, collecting the largest dataset of U.S. academics’ backgrounds and research output. Individuals from poorer backgrounds have been severely underrepresented for seven decades, especially in humanities and elite universities. Father’s occupation predicts professors’ discipline choice and, thus, the direction of research. While we find no differences in the average number of publications, academics from poorer backgrounds are both more likely to not publish and to have outstanding publication records. Academics from poorer backgrounds introduce more novel scientific concepts, but are less likely to receive recognition, as measured by citations, Nobel Prize nominations, and awards.
That is from a new NBER working paper by
The future of the scientist in a world with advanced AI
AI will know almost all of the academic literature, and will be better at modeling and solving most of the quantitative problems. It will be better at specifying the model and running through the actual statistical exercises. Humans likely will oversee these functions, but most of that will consist of nodding, or trying out some different prompts.
The humans will gather the data. They will do the lab work, or approach the companies (or the IRS?) to access new data. They will be the ones who pledge confidentiality and negotiate terms of data access. (Though an LLM might write the contract.) They will know someone, somewhere, using a telescope to track a particular quasar. They may (or may not) know that the AI’s suggestion to sample the blood of a different kind of gila monster is worth pursuing. They will decide whether we should be filming dolphins or whales, so that we may talk to them using LLMs, though they will ask the LLMs for cost estimates in each case.
At least in economics, this will be continuing trends that were present before current high-quality AI. The scarce input behind a quality paper is, more and more, access to some new and interesting data source. More and more people can do the requisite follow-up technical work, though quality variations have by no means been eliminated.
“Science as an employment program for scientists” will fall all the more out of favor. It remains to be seen how much that will disfavor serendipitous human discovery.
On any given day, on the quest for more data, a scientist will have to think quite creatively about what he or she should be doing.
Is academic writing getting harder to read?
To track academic writing over time, The Economist analysed 347,000 PhD abstracts published between 1812 and 2023. The dataset was produced by the British Library and represents a majority of English-language doctoral theses awarded by British universities. We reviewed each abstract using the Flesch reading-ease test, which measures sentence and word length to gauge readability. A score of 100 roughly indicates passages can be understood by someone who has completed fourth grade in America (usually aged 9 or 10), while a score lower than 30 is considered very difficult to read. An average New York Times article scores around 50 and a CNN
article around 70. This article scores 41…We found that, in every discipline, the abstracts have become harder to read over the past 80 years. The shift is most stark in the humanities and social sciences (see chart), with average Flesch scores falling from around 37 in the 1940s to 18 in the 2020s. From the 1990s onwards, those fields went from being substantially more readable than the natural sciences—as you might expect—to as complicated. Ms Louks’s abstract had a reading-ease rating of 15, still more readable than a third of those analysed in total.
Here is more from The Economist, via the excellent Samir Varma.
New claims about cosmology
New claims about cosmology. Paper here. Big if true. It seems the key innovation is to make time pass at varying speeds in different parts of the galaxy?
The new o3 model from OpenAI
Some more results. And this:
Yupsie-dupsie, delivery of this:
Happy holidays people, hope you are enjoying the presents!
Science and religious dogmatism
Today’s leading historians of science have “debunked” the notion that religious dogmatism and science were largely in conflict in Western history: conflict was rare and inconsequential, the relationship between religion and science was constructive overall. This view stands in sharp contrast to that of a group of economists, who are beginning to report empirical evidence suggesting pervasive conflict, either in the present or during various historical settings. Who is right? This article provides quantitative evidence—from the continental level down to the personal one—suggesting that religious dogmatism has been indeed detrimental to science on balance. Beginning with Europe as a whole, it shows that the religious revival associated with the Reformations coincides with scientific deceleration, while the secularization of science during the Enlightenment coincides with scientific re-acceleration. It then discusses how regional- and city-level dynamics further support a causal interpretation running from religious dogmatism to diminished science. Finally, it presents person-level statistical evidence suggesting that—throughout modern Western history, and within a given city and time period—scientists who doubted God and the scriptures have been considerably more productive than those with dogmatic beliefs.
That is from a new paper by Matías Cabello. Of course you can believe those results, and still think Christianity was a necessary institutional background, even if being Christian did not help the individual scientist.
My excellent Conversation with Stephen Kotkin
It was so much fun we ran over and did about ninety minutes instead of the usual hour. Here is the audio, video, and transcript. Here is part of the episode summary:
Tyler sat down with Stephen to discuss the state of Russian Buddhism today, how shamanism persists in modern Siberia, whether Siberia might ever break away from Russia, what happened to the science city Akademgorodok, why Soviet obsession with cybernetics wasn’t just a mistake, what life was really like in 1980s Magnitogorsk, how modernist urban planning failed there, why Prokofiev returned to the USSR in 1936, what Stalin actually understood about artistic genius, how Stalin’s Georgian background influenced him (or not), what Michel Foucault taught him about power, why he risked his tenure case to study Japanese, how his wife’s work as a curator opened his eyes to Korean folk art, how he’s progressing on the next Stalin volume, and much more.
And here is one excerpt:
COWEN: What did you learn from Michel Foucault about power, or indeed anything else?
KOTKIN: I was very lucky. I went to Berkeley for a PhD program in 1981. I finished in 1988, and then my first job was at Princeton University in 1989. In the middle of it, I went for French history, and I switched into Habsburg history, and then finally, I switched into Russian Soviet history. I started learning the Russian alphabet my third year of the PhD program when I was supposed to take my PhD exams, so it was a radical shift.
Foucault — I met him because he came to Berkeley in the ’80s, just like Derrida came, just like Habermas came, Claude Lévi-Strauss, the anthropologist, came through. It was California. They were Europeans, and there was a wow factor for them. Foucault was also openly gay, and San Francisco’s gay culture was extraordinarily attractive to him. It was, unfortunately, the epoch of the AIDS epidemic.
One time, I was at lunch with him, and he said to me, “Wouldn’t it be amazing if somebody applied my theories to Stalinism?” I’m sitting there, okay, I’m 23 years old. Imagine if you had traveled to Switzerland in the late 19th century, and you went up in those Engadin mountains, and you were at some café in the mountain air, and there’s this guy with a huge forehead and hair up in the air sitting there, and you went and introduced yourself. You said, “Hello, I’m Tyler,” and he said, “Hello, I’m Friedrich Nietzsche.” You would say, “Well, geez, this is interesting. I should have more conversations with you.”
So, that’s the experience I had. I had read Foucault in seminar because it was very fashionable to do so, obviously, especially at Berkeley, especially in a culture that tilts one way politically, and I think you’ll guess which way that might be. But I didn’t understand what he said, so I went up to him as a naïf with this book, Madness and Civilization, which we had been forced to read, and I started asking him questions. “What does this mean? What does this mean? What is this passage? This is indecipherable.”
He patiently explained to the moron that I was what he was trying to say. It sounded much more interesting coming from him verbally, sitting just a few feet away, than it had on the page. I was lucky to become the class coordinator for his course at Berkeley. He gave these lectures about the problem of the truth-teller in Ancient Greece.
It was very far removed from . . . I had no classical training. Yes, I had Latin in high school because I went to Catholic school, and it was a required subject. I started as an altar boy with the Latin Mass, which quickly changed because of what happened at Vatican II. But no Greek, so it was completely Greek to me. Forgive me, that wasn’t planned that I was going to say that. It just happened spontaneously.
Anyway, I just kept asking him more questions and invited him to go to things, and so we would have lunches and dinners. I introduced him to this place, Little Joe’s in Little Italy, part of San Francisco, which unfortunately is no longer there. It was quite a landmark back then, and then he would repair after dinner to the bathhouses in San Francisco by himself. I was not part of that. I’m neither openly nor closeted gay, so that was a different part of Foucault that I didn’t partake in, but others did.
Anyway, I would ask him these things, and he would just explain stuff to me. I would say, “What’s happening in Poland?” This is the 1980s, and he would say things to me like, “The idea of civil society is the opiate of the intellectual class.” Everybody was completely enamored of the concept of civil society in the ’80s, especially via the Polish case, and so I would ask him to elucidate more. “What does that mean, and how does that work?”
He told me once that class in France came from disease in Paris — that it wasn’t because of who was a factory worker, who wasn’t a factory worker, but it was your neighborhoods in Paris and who died from cholera and who didn’t die from cholera. A colleague of ours who was another fellow graduate in Berkeley ended up writing a dissertation using that aside, that throwaway line.
I was able to ask him these questions about everything and anything. What he showed me — this is your question — what he showed me was how power works, not in terms of bureaucracy, not in terms of the large mechanisms of governance like a secret police, but how all of that is enforced and acted through daily life. In other words, the micro versions of power. It’s connected to the big structures, but it’s little people doing this. That’s why I said totalitarianism is using your agency to destroy your own agency.
That means denouncing your neighbors, being encouraged to denounce your neighbors for heresies, and participating in that culture of denunciation, which loosens all social trust and social bonds and puts you in a situation of dependency on the state. You’re a gung-ho activist using your agency, and the next thing you know, you have no power whatsoever. So, those are the kinds of things that I could talk to him about.
After he passed away from AIDS in the summer of 1984 — it was the AIDS epidemic, horrific. He passed away, and we had a memorial for him. I was still a PhD student, remember. I didn’t finish until ’88. There was this guy, Michel de Certeau, who wrote a tribute to Foucault in French that he was going to deliver at the event. It was called “The Laughter of Foucault.” I had these conversations with de Certeau about his analysis of Foucault and the pleasure of analytic work, which had been a hallmark of Foucault.
De Certeau taught me a phrase called “the little tactics of the habitat,” which became one of the core ideas of my dissertation and then book, Magnetic Mountain, about this micropower stuff. Even though Foucault was gone, I was able to extend the beginning of the conversations with Foucault through de Certeau.
I learned how power works in everyday life, and how the language that you use, and the practices like denunciation that you enact or partake in, help form those totalitarian structures, because the secret police are not there every minute of every day, so what’s in your head? How are you motivated? What type of behavior are you motivated for?
We say, “Okay, what would Stalin do in this situation?” Many people approach their lives — they’ve never met Stalin; they’ll never meet Stalin — but they imagine what Stalin might do. That gets implanted in their way of thinking; it becomes second nature. I learned to discuss and analyze that through Foucault.
I have to say, I didn’t share his analysis that Western society was imprisoning, that the daily life practices of free societies were a form of imprisonment in its own way. I never shared that view, so it wasn’t for me his analysis of the West that I liked. It was the analytical toolkit that I adapted from him to apply to actual totalitarianism in the Soviet case.
Excellent throughout.
Prediction Markets Podcast
I was delighted to appear on the a16z crypto podcast (Apple, Spotify) talking with Scott Duke Kominers (Harvard) and Sonal Chokshi about prediction markets. It’s an excellent discussion. We talk about prediction markets, polling, and the recent election but also about prediction markets for replicating scientific research, futarchy, dump the CEO markets, AIs and prediction markets, the relationship of blockchains to prediction markets and going beyond prediction markets to other information aggregation mechanisms.
*Science of Science*
By Alexander Kraus, economist at LSE, the Oxford University Press book is now open access on-line. Here is the chapter on the economics of science.