The Deep Sea

The Deep Sea
by Neal Agarwal

[ed. Fun and informative site (scroll down the different depths to see what creatures have been recorded, and where). For example, I had no idea thick-billed murres could dive that deep.]

The Accidental Architect of the Internet’s Brain

Steven Pruitt, who is widely regarded as the most prolific Wikipedia editor, has made more than six million edits to the site, and, by extension, has quietly shaped the raw material that every major A.I. chatbot was trained on.

Steven Pruitt spends his evenings identifying errors that most people never notice and making fixes that hardly anyone ever thanks him for. He toils at a desk in a town house in Alexandria, Virginia, surrounded by books—the kind of working clutter that suggests a long relationship with paper rather than a fetish for screens. And yet his work is necessarily digital; after dinner, and sometimes late into the night, he uses his desktop computer to correct dates, clean up syntax, standardize categories, and occasionally write entire biographies of people on Wikipedia, the free online encyclopedia.

Wikipedia is not his employer, of course. Like all editors on the site, Pruitt is a volunteer. “At this point, I won’t say I don’t have any skin in the game,” he told me. “But it’s a lot lower stakes than a job because if I get something wrong, it’s fairly easy to fix it. I can fix it myself. I can do what I want to do on my own time.” Still, he holds himself to some rules: “I do try to get in at least one edit a day.”

Pruitt is forty-two, and works full time as a records-management contractor for the federal government. After graduating from the College of William & Mary, in 2006, he moved back in with his parents, owing to the cost of real estate in Alexandria. In recent years, he helped his mother care for his father. (While I was reporting this story, Pruitt’s father died.) In effect, Pruitt—the person who has done more than anyone else to shape the English-language Wikipedia—lives a life that is, by most outward measures, unremarkable.

According to public tallies, Pruitt has made more than six million edits to Wikipedia and created more than thirty thousand articles. He is widely regarded as the most prolific Wikipedian in the entire world. (“It depends on how you’re counting,” he said. “Different tools count different things.”) In 2017, Time magazine included him on its list of the most influential people on the internet. But outside of a small circle of editors, researchers, and obsessive readers on Wikipedia, the recognition has barely registered.

On the site, he is known by his username, Ser Amantio di Nicolao—a reference to a minor character in “Gianni Schicchi,” Giacomo Puccini’s comic opera. Pruitt’s interest in opera is genuine, but the flourish is misleading. He avoids drama, which means that he avoids writing Wikipedia biographies of people who are still alive, whenever possible. “I generally don’t do a lot in the realm of current events,” he told me. “Not just because the stakes are too high but sometimes because there’s so much editing going on on a subject in a particular moment that it can take me five or ten minutes just to break in with one edit.” He prefers biographies of what he calls “fairly obscure dead people.”

“They’re settled,” he explained.

In 2001, Jimmy Wales, an internet entrepreneur, and Larry Sanger, a philosopher, launched Wikipedia as an experiment in collaborative knowledge creation, allowing anyone with an internet connection to contribute. Pruitt first encountered the site in 2003, when he was still in college. “I didn’t quite understand what it was,” he recalled.

For more than a year, he did not edit at all. He would stumble upon Wikipedia pages through search results or links, and then move on. Between late 2004 and early 2005, though, his relationship to the site began to change. The encyclopedia had reached what he described as a critical mass: “There was enough stuff on the site that there was always something to do,” he said. “But it wasn’t just a blank slate.” The difference mattered. A completely empty encyclopedia was intimidating; a partially filled one invited correction and expansion. [...]

Wikipedia’s hierarchy is deliberately difficult to see. Editors work under pseudonyms. Articles appear collectively authored. There are no bylines, no salaries, no masthead. Pruitt was granted administrative privileges, after another editor nominated him through Wikipedia’s standard Request for Adminship process, where the editing community supported his candidacy. These privileges allow him to block users and close discussions, but he is careful about what that power does and does not mean. Wikipedia discourages editors from reverting—“undoing”—one another more than three times, regardless of correctness. “You can be blocked for twenty-four hours,” he said. “It doesn’t matter if you’re right.” He likes the rule. “It keeps things from turning personal.”

Inside Wikipedia, reputation accrues through time rather than visibility, and it “comes as much from longevity as anything else,” Pruitt said. “You stick around. People know you.”

Among the people who stick around—and who make consistent contributions to the site—are the Wiki-obsessives known colloquially as “super editors.” These individuals are responsible for hundreds of thousands, if not millions, of edits. Although there are more than a hundred and thirty-two million registered accounts on Wikipedia, a study found that one per cent of these users are responsible for roughly eighty per cent of the site’s content. [...]

In 2021, Stephenson-Goodknight was elected to the Board of Trustees of the Wikimedia Foundation, a position that she held through late 2024. Her tenure coincided with a fundamental shift in the role that Wikipedia plays on the internet. As the site entered its third decade, and artificial-intelligence algorithms grew hungry for data to learn on, Wikipedia articles were no longer just read; they were scraped, summarized, licensed, and folded into systems designed to answer questions elsewhere. In other words, Wikipedia had become infrastructure.

Pruitt was vaguely aware of the change before he fully grasped its implications. “Friends in tech would mention it,” he recalled. “They’d say, ‘You know Wikipedia is being used for this now.’ ” He did not follow developments in A.I. closely. “I don’t understand half of what Silicon Valley does,” he said. What he does understand well is reference works.

In October, 2025, when Elon Musk’s company xAI launched Grokipedia, an A.I.-generated encyclopedia that is often compared to Wikipedia, Pruitt approached it the way he would any new compendium. He searched for articles on subjects he knew well, such as nineteenth-century opera singers. “They weren’t there,” he said.

But what unsettled him was not what was missing from Grokipedia but what was slightly off. “Nothing was exactly wrong, but it was just less right than I would have made it,” Pruitt said. He described reading an entry that repurposed information from Wikipedia while subtly distorting it. In one instance, the entry summarized part of a person’s life in a way that struck him as careless, describing a seven-year period as “brief.” “I don’t think that’s brief,” he said.

The problem, as Pruitt saw it, was not the errors themselves—there are plenty of mistakes on Wikipedia—but rather where the responsibility for those errors lay. “Wikipedia can be fixed,” he said. Errors are corrected publicly, and editors can debate them. Responsibility is shared, and each edit can be traced. Grokipedia, on the other hand, and A.I.-generated information more broadly, obscured the information-gathering process. It generated text that sounded authoritative without revealing exactly how it arrived there. “It sounds right,” he said. “And that’s worse.”

by Carson Griffith, New Yorker | Read more:

Image: Asya Demidova

What Do Consultants Get Paid For?

A consultant I had lunch with recently is redesigning the loyalty program of a large airline. His team finished the analysis in two weeks. Months later the program still does not exist. This is because the purpose of the assignment is not to solve an analytical case study, but to figure out which redesign the parties will accept, and to get the people with authority to commit to implementing it.

I was not surprised to hear the story. In our just-published book Messy Jobs: The Work That AI Cannot Reach, Jin Li, Yanhui Wu, and I argue that a job is not a collection of independent tasks but a bundle of tasks and a position inside an organization. While many of the constituent tasks are clean, the job is messy because they must be combined under incomplete knowledge, conflicting objectives among the different parties and binding constraints on who has the authority to make decisions.

Hence we argue that automating the clean parts does not necessarily eliminate the job, because the remaining activities, tightly bundled with the rest, can remain the constraint. We argue that the bundle is strongest where separating the analytical/cognitive parts that can be automated would destroy local knowledge, trust, accountability or continuity.

Two objections

Critics of our argument raise two concerns. The first one has to do with advances in AI capabilities: models do some tasks extremely well and others badly. As they gain memory, use tools and acquire multimodal perception, critics would say, AI will get better at many other tasks like persuading, anticipating the objections raised in a meeting and adapting the tone. Hence even the interpersonal part by itself may not be a sanctuary for long. Just wait a bit for AI to get better, say the critics: Messy Jobs (in their view) describes the transition rather than the long run.

The second objection to our thesis is more radical. Maybe as long as we have humans in the loop, we need organizations. But if organizations really are a mess, slow, political, resistant to change, with a large role for humans precisely because someone has to hold meetings, build coalitions and learn the internal politics, why not get rid of the entire organization? What is the point of preserving the existing obsolete structures?

We believe that both objections fail, because some of the mess is substantive and necessary.

Where the “implementation” months go

To an outsider, my friend’s consulting project looks purely analytical. The team receives all the data, including all passenger records, redemption rates, customer-retention data, and so on. The team works out the key economic and financial trade-offs of the possible redesigns to figure out which redesign maximizes profits.

If doing this, given all the available data and the current AI tools, took two weeks, why has the project taken many months?

First, inside the airline, different parts of the business worry about different things. For instance, the salespeople have relationships with the hotel chains and do not want to disturb them, while the operations team worries about the staff at the airport counters who will have to deal with angry passengers who have grown used to certain privileges.

Second, there are the outside parties, from hotel chains to credit-card companies to the retailers that accept miles. Anything that improves the airline’s economics may reduce the value of the program to the hotels or to the card issuers. Each has a view on how card spending should count relative to flying, or how hotel nights should count relative to flying. There are winners and losers everywhere, and a reform that benefits the airline as a whole can hurt a particular business unit or a particular partner.

So the consultants spend weeks doing an enormous amount of work that looks peripheral to the problem. They repeatedly meet the head of the loyalty program, then the CFO, then the CEO. They also meet the commercial partners, and that means meeting the head of loyalty, then the finance team, then the chief executive. They revise the proposal. They redo the presentation.

And all of these people speak different languages. Organizations have different internal codes because they care about different things and deal with different problems. What the consultants are doing is a mix of analysis, translation and intermediation. The assignment of the consultants is to design a program that is an agreement that the relevant parties will authorize and implement.

Once the analysis is cheap, what remains is to learn what each party will actually accept, and to obtain commitments from those who are authorized to make them.

The real knowledge problem

An advocate of highly capable AI systems (“AGI-pilled”) would probably say this is a problem ready for AI. Have an agent redesign the program, have it meet the other constituencies, have it come back with a solution.

But what happens in those meetings deserves a closer look. There are four frictions in the room that make the meetings necessary.

by Luis Garicano, Silicon Continent | Read more:
Image: via

We Asked Too Much of the American University

Our one remaining functional institution is going downhill.

The story of the rise and possible impending fall of the American university system is, in many ways, the story of modern America. It ties together the changes in our culture, our economy, and our politics since the mid-20th century. Understanding why universities came to be our most important and most functional institution, and why that model is now under threat, can help us understand how our country might look different going forward.

Let me try to tell a condensed version of that story.

The United States used to have a bunch of institutions that bound us together and forged us into a unified society. Many American communities were centered around churches; these facilitated networking, helped people find spouses, provided community services like day care and mutual aid, and homogenized values and culture at the local level. During the World Wars (and to a lesser extent, the Vietnam War), the military was very large and threw together Americans from various social classes. In the early postwar decades, corporations were also a unifying institution. Mass media provided us with shared cultural context. Even public transit put people of various backgrounds in close social contact on a daily basis.

In the half-century from around 1970 to 2020, those unifying institutions became much weaker. Church attendance slowly declined and then fell off a cliff in the 2010s. The military shrank into a small, professionalized volunteer force. Corporations ended their brief flirtation with lifetime employment, and outsourced many of their roles. Mass media fragmented in the age of the internet. Public transit dwindled in importance as Americans moved to the suburbs and drove.

As the country’s unifying institutions withered, one new institution attempted to step into the void: the American university. Universities were not new in the late 20th century, of course, but mass attendance certainly was. From 1970 to 2020, the share of Americans age 25-29 with a bachelor’s degree went from 16.4% to 39.6%. Around two out of three have completed some college.

College went from something that only the upper crust did, to something that most people were expected to do if they wanted to be economically successful in life. This expansion inadvertently but inevitably thrust a new role on American universities — that of a broad socially unifying institution. College was where people from a variety of backgrounds mingled and mixed — not just in classes, but in dorms, campus activities, and college towns.

College became the new church, the new military, and the neighborhood bowling alley all rolled into one. Instead of preachers homogenizing Americans’ values from the pulpit, university administrators taught college kids to value things like diversity, consent, and so on, and college students hashed out their own differences in millions of late-night dorm room discussions. Instead of meeting their first love in high school, Americans increasingly delayed sex until college; many of these relationships turned into marriages. Young people went into college as children and came out adults.

This was a heavy burden to bear for an institution that hadn’t been designed for it. But American universities were accustomed to taking on big new duties. Our universities began as essentially a copy of the British model — teaching-focused institutions designed to provide broad education and mentorship to the upper class. In the early 20th century they tacked on the German model — a research-focused lab apprenticeship system by which top scientists taught other top scientists and readied them for research jobs while also producing cutting-edge basic research.

This dual system enabled a remarkable form of cross-subsidization. Undergrad tuition payments — and state support for undergrad education, and undergrad alumni gifts — created a flood of money that paid for grad student stipends, lab facilities, professor salaries, and more. The federal government and companies also funded university research, of course, through grants and sponsorships. But undergrad money was a huge tailwind. And the prestige generated by successful and famous researchers helped universities charge undergrads more.

The hybrid of the old British and German models was naturally symbiotic, and it meant that even as America’s other institutions came under pressure, universities thrived and grew — especially once they used their prestige to attract high-paying and highly skilled foreign students from around the globe. Universities became the lynchpin of America’s research effort:

Source: Arora et al. (2019)

American universities had a lock on both the nation’s research output and on its production of human capital, and those roles were mutually reinforcing.

I suspect that their success at handling education and research at the same time probably gave American universities a lot of confidence about their ability to handle society and culture as well. Colleges spent more and more on dorms and “student services” and hired administrators (many of whom dealt with undergrad life) at an astonishing rate.1

But replacing churches, the military, and the neighborhood bowling alley proved harder than replacing the corporate lab had been. There was just one basic problem with college as America’s primary unifying institution, which is that not everyone can go to college.

First of all, college is difficult. To complete college courses, you need some degree of raw intelligence, but you also need work ethic and a certain degree of independence. As much as we might like to believe otherwise, not everyone in America has those traits, and we don’t yet know how to instill them in everyone. As a result, there’s a limit to how much you can expand college enrollment — and college completion — without loosening standards.

In fact, loosening standards is exactly what American colleges have done. Universities have necessarily become less and less selective over the years, as they have taken in a larger and larger fraction of the young American population. For a while, this led to lower college completion rates, but in the 1990s, more and more students began finishing their bachelors’ degrees. Why? Because colleges implemented grade inflation, making it easier to finish school without learning the material well. Here’s Denning et al. (2021):

We find that most of the increase in graduation rates can be explained by grade inflation, and that other factors such as changing student characteristics and institutional resources play little or no role. This is because GPA strongly predicts graduation and that GPAs have been rising since the 1990s. This finding holds in national survey data and in records from 9 large public universities. We also find that at a public liberal arts college, grades increased holding performance on identical exams fixed.

At some point, though, this process hits a wall. A large fraction of young Americans just isn’t prepared for college, even with grade inflation, and doesn’t end up going. College enrollment by recent high school graduates plateaued in the early 2000s and actually fell back to early 1990s levels during and after the pandemic:

Source: NCES via GPT

by Noah Smith, Noahpinion |  Read more:

Image: Ajay Suresh via Wikimedia Commons

[ed. Unfortunately, that's it before you hit the paywall. But you get the idea, and can claim the rest of the article for free once (by providing your email).]

Notes on Acquired Taste. Why Do We Make an Effort To Like Things?

• In Susan Sontag’s Notes on '“Camp” (1964) she writes (with, I think, a hint of camp):

“…these are grave matters. Most people think of sensibility or taste as the realm of purely subjective preferences [or] attractions…But this attitude is naïve. And even worse. To patronise the faculty of taste is to patronise oneself. For taste governs every free—as opposed to rote—human response. Nothing is more decisive.” (My emphasis). 

• Sontag has an expansive concept of ‘taste’. She talks of taste in people, pictures, emotion, actions, morality. Even intelligence, she says, is “a kind of taste - taste in ideas”. I’m not certain how useful it is to stretch the concept this far - so far that it colonises intelligence and judgement and wisdom - but Sontag’s high regard for taste, her declaration of its central importance, feels very timely in 2026.

• It has become almost a cliché to name “taste” as one of the last human advantages over the machines. AI is acquiring the skills to make slickly produced pictures and songs and books. But it isn’t yet very good at distinguishing the brilliant from the mediocre; the just right from the just OK.

• It models what we like, which makes it hard to see how taste might change. Ask it to generate twenty songs or twenty jokes and pick the best, and it will pick the one that most closely resembles what the median person would deem good. It won’t pick the surprising, odd one - the one that is ‘wrong’ in a suggestive way. But that’s where the good ideas come from. Innovative culture emerges, like new species, from mutation; from interesting accidents that open up new possibilities.

• It’s not as if humans don’t ‘model’ what came before them, often quite algorithmically. We have traditions, genres, chains of influence. We have plenty of human-made mediocrity - more than ever, thanks to our new assistants. But we also have an ability to adapt or reinvent the model; to put it to our own purposes.

• Individual artists do this intuitively and almost randomly in the process of making. Writers learn to write (painters learn to paint etc) by imitating their predecessors. They learn to be original by getting the imitation wrong and noticing that they like the error. This is an act of taste; the free human response.

• When he was stuck on a painting, Francis Bacon would throw a glob of paint at his canvas then work out how to incorporate the result. Artists make decisions and then try to understand why they might have made them. It’s the dialogue between gut and head that produces the work.

• Taste is similarly post-rationalised, or back-propagated. You notice what you like or dislike and extract a rule from your response. Do this enough times and you build a powerful discrimination engine.

• You also get good at knowing what goes with what. You learn to recognise the clichés of the category, which means you know how to subvert or overturn them. That’s why great artists are such voracious consumers of work from within and beyond their own field. Martin Scorsese has watched at least one film every night for most of his adult life. He watches and records and re-watches obsessively. When he donated his collection of VHS tapes to a university it consisted of 4,400 films, documentaries and TV shows.

• It’s more than pattern recognition. The machines are pretty good at that, after all. Taste is connected to that other human moat - to our sense of purpose, of why we’re doing this in the first place. We’re still the ones who write the prompt - who decide what to create and what is beautiful, important, and valuable. The machine merely knows how to execute on our preferences.

• It can model what we already like with astonishing facility but it can’t give us the next Shakespeare, or the next romanticism or modernism or punk or hip-hop. These new forms aren’t just statistical recombinations. They are born from anxiety, rage, envy, pain, ambition. How do you respond to the unprecedented mass violence and human waste of the Great War? Not by following pre-war cultural conventions.

• New movements are also born from scenes - from humans in proximity to each other, everyone desiring this man’s art and that woman’s scope; ideas, emotions and bodies colliding.

• These movements create the taste by which they’re consumed. “Impressionism” was a derisive nickname for paintings that most art lovers considered weird and sketchy. But the art was good enough to bend popular taste around it. Even more obviously difficult art, like Rothko or Pollock, now has an audience of millions. Some of those people like it immediately; others have acquired a taste for it.

• I’m fascinated by the notion of acquired taste. Strictly speaking, it’s a redundancy. Nearly all tastes are acquired. Nobody is born with particular tastes in design or architecture. We gain a sense of what we like, or what we consider to be good, from our peers and predecessors.

• But acquired taste does refer to a distinct phenomenon: the act of willing a preference into being. You didn’t like whisky the first time you drank it, but perhaps because your father liked it or because you were aware of its cultural prestige, you tried it again and again, striving to appreciate it. Then one day you didn’t have to try anymore. You just liked it.

• This writer likens it to a magic eye picture: you stare at it for ages without seeing what you’re told is there, and then suddenly - there it is.

• This is very different to stumbling upon something we immediately like, which is sometimes referred to as ‘discovered taste’. (Edmund Burke called it ‘natural relish’.) That kind of liking involves no work, no friction, no overcoming of resistance.

• Some cultural objects lend themselves to discovered taste, others don’t. I can’t imagine anyone needing to acquire a taste for Ella Fitzgerald’s voice, but there are other great vocalists whose voices you must learn to like. The most frequently cited reason for not liking Bob Dylan is antipathy to his voice. But if you learn to appreciate the many incredible things he does with it, you will end up in a more intense relationship with it than with the voice of a more obviously palatable singer. Once you’re in on an acquired taste, you’re all in.

• The same is true of whole genres. There are many pieces of classical music that are easy to like. You don’t have to listen to Mozart’s clarinet concerto more than once to be seduced by it. But as a whole and on average, it’s a genre that requires more effort to appreciate than pop. Once you find the key to its heavy oak door a vast and fabulous kingdom awaits. Your memory of the effort it took you to get there, and your awareness of all the people still outside the city walls enhance your appreciation. (That doesn’t mean you want people to remain outside - quite the opposite).

• Difficulty doesn’t make the cultural object concerned better or worse than one that’s immediately likeable. But it does usually mean it’s more complex, and complexity is correlated, loosely and unreliably, with quality. Acquired taste involves the appreciation of subtle properties that don’t make themselves known on first listen or view or read.

• Without appreciating what lies on the other side of the door, why do we ever make the effort to unlock it? Partly because we want what other people want. We might trust the taste of our father or girlfriend or teacher. Perhaps we want to please them, impress them, or feel closer to them. Perhaps we want the social cachet that goes along with this particular taste. To my mind, all of these reasons are perfectly good ones. If a taste is truly worth acquiring, any motivation will do.

• It’s often seen as slightly embarrassing or shameful to acquire a taste through conscious effort. It’s for the try-hards and the social climbers. Liberal societies value spontaneity in taste. “Like what you like, love what you love!” Your gut response is meant to be the authentic one, the one that represents “the real you”. To be swayed by social pressure or by experts and reading is regarded as a sign of insecurity or pretentiousness. But let yourself believe that and your tastes will be less likely to evolve and expand and you’ll miss out on a lot of great stuff. Many of the greatest, most compelling and satisfying cultural objects are complex, occluded, spiky, difficult to like. (Some of the best people too).

by Ian Leslie, The Ruffian |  Read more:

Image: Susan Sontag by Edward Hausner / New York Times Co./Getty Images

[ed. See also: here and here.]

Chat GPT-Voice

A new generation of voice models for natural human-AI interaction, now powering ChatGPT Voice. (OpenAI).]

[ed. Yeah...pretty dorky video, but you get the picture. Here's another one highlighting the voice/language translator.]

Asteroid Day, June 30, 2026

Asteroid Day, June 30, 2026

Asteroid Day was cofounded in 2014 (the year after the 2013 Chelyabinsk meteor air burst) by physicist Stephen Hawking, B612 Foundation president Danica Remy, Apollo 9 astronaut Rusty Schweickart, filmmaker Grigorij Richters, and Brian May (Queen guitarist and astrophysicist). Remy, Schweickart, Richters, and May initiated Asteroid Day in October 2014, which they announced during a press conference. It was launched on December 3, 2014.

In 2016, the United Nations proclaimed Asteroid Day be observed globally on June 30 every year in its resolution. The event aims to raise awareness about asteroids and what can be done to protect the Earth, its families, communities, and future generations from a catastrophic event. - Wikipedia

See also: Asteroid Day 2026: What Is It and How to Celebrate It?

There are about a million asteroids in the Solar System with the potential to strike Earth and destroy a city. Astronomers have discovered only 1% of them. Asteroid Day is an effort to educate the public and encourage policy makers to fund this important effort.

King Tut may have celebrated an ancient Asteroid Day by asking his assistants to make a dagger out of a broken-off asteroid that landed on Earth. Astronomers discovered that the blade of the knife contained much more nickel than is found in terrestrial iron, an amount consistent with iron meteorites, especially with one found in the year 2000 in the Kharga region in northern Egypt. For more information about the dagger, go to http://goo.gl/BHBivd. (via: Bruce Palmquist, Daily Record)

[ed. Brian May was also an astrophysicist? Wow. A man of many talents. Another one would be Jeff "Skunk" Baxter, guitarist for Steely Dan and US missile defense contractor/consultant.]

June 23, 1988: James Hansen Testified to Senate About Climate Change

Coal is the single greatest threat to civilization and all life on our planet. . . . the dirtiest trick that governments play on their citizens is that they are working for ‘clean coal.’ . . .The trains carrying coal to power plants are death trains. Coal-fired power plants are factories of death. — James Hansen

On June 23, 1988, NASA scientist James Hansen testified to the U.S. Senate stating the greenhouse effect had been detected, indicating that the climate was in fact changing.

Hansen was also arrested on this day in 2009 during a protest against mountaintop removal mining at Massey Energy Company.

Hansen has stated,

Several times in Earth’s long history rapid global warming of several degrees occurred. . . In each case more than half of plant and animal species went extinct. New species came into being over tens and hundreds of thousands of years. But these are time scales and generations that we cannot imagine. If we drive our fellow species to extinction we will leave a far more desolate planet for our descendants than the world that we inherited from our elders.

by Zinn Education Project |  Read more:

Image: uncredited
[ed.  "According to science historian Spencer R. Weart, Hansen's testimony increased public awareness of climate change. According to Richard Besel of California Polytechnic State University, Hansen's testimony "was an important turning point in the history of global climate change." According to Timothy M. O'Donnell of the University of Mary Washington, Hansen's testimony was "pivotal," "ignited public discussion of global warming and moved the controversy from a largely scientific discussion to a full blown science policy debate," and marked "the official beginning of the global warming policy debate." According to Roger A. Pielke of the National Center for Atmospheric Research, Hansen's "call to action" "elevated the subject of global warming and the specter of associated impacts such as more hurricanes, floods, and heat waves, to unprecedented levels of attention from the public, media, and policy makers." - Wikipedia.]

[ed. Which was all it took for climate change skeptics to spring into action, and here we are...]

AI in Biology

If you wind your way through a quiet, wooded suburb outside of The City, you’ll reach a harbor. Situated on a hill overlooking the water, there is a Temple of Science. This Temple is centered around a task of the utmost importance: preserving a magical thread that connects the past, present, and future of the life sciences.

On one end, there is a gentle tug from the ghosts of Barbara McClintock, Martha Chase, and Alfred Hershey, reminding you of their elegant experiments that became part of the canon of genetics. Farther along, figures like Jim Watson grip the thread more fervently as they advocate for the centrality of their discoveries in the birth of molecular biology. If you put one hand in front of the other and continue to follow where it takes you, you’ll pass through the rise of genomics and end up on the frontier of biology.

Of course, I’m talking about Cold Spring Harbor Laboratory. For over one hundred years, this little research institute in Long Island, New York has punched well above its weight. CSHL played a critical role in multiple paradigm shifts in biology—including genetics, molecular biology, and genomics—as evidenced by the eight Nobel Prizes awarded to researchers from “The Lab” over the years. When normalizing for size, the Nature Index ranked CSHL as the most prolific biomedical research institution in the world.

I’ll never forget my first visit to The Lab. In February of 2020, I flew from Seattle to interview for the CSHL graduate school program. Famously (among researchers on the grad school interview circuit), they would arrange for each recruit to be picked up in a black car from the airport.

The campus itself, which is a direct physical representation of the magical thread that The Lab preserves, is equally memorable. A cluster of pristinely maintained colonial buildings, each painted white, borders the water. Above them is the Upper Campus, consisting of darker, modern renditions of the same pattern. Scientific art installations—like the Waltz of the Polypeptides or a gazebo with a phage structure on the tip—can be found along the walking trails.

Over the course of three days, I hurried around The Lab for a wide range of activities, including eleven interviews with faculty—two to three times the number that most other graduate school programs typically scheduled. It was wonderful and intense.

Ultimately, I was persuaded to go west for graduate school. Thankfully, there are many reasons to continue coming back to CSHL, which has been described as “the crossroads of biology.” Each year, they host dozens of conferences and courses that draw top researchers from around the world.

But one particular conference stands out in importance. Since 1933, CSHL has hosted an annual Symposium on Quantitative Biology. Reginald Harris, who conceived of the conference, wrote that the “primary motive of the conference symposia is to consider a given biological problem from its chemical, physical and mathematical, as well as from its biological aspects.” In retrospect, this was visionary.

Over the next several decades, chemists and physicists would revolutionize the life sciences. In 1944, Erwin Schrödinger, a leading physicist, wrote What is Life?, a book exploring open questions in biology through a new lens. It inspired many researchers and students, including a young James Watson, to pursue biological research. In 1953, at the 20th annual CSHL Symposium, Watson presented the structure of DNA for the first time in public.

For obvious reasons, this gave the CSHL Symposia a sort of “mythic quality” moving forward. This reputation compounded quickly. Over the next 15 years, the pioneers of molecular genetics would travel each year to present their most important discoveries—such as the central dogma and the genetic code—at CSHL.

The tradition continues to this day. Each year, the Symposium is organized around a topic considered to represent the frontier of life sciences research.

Which brings us to the topic of the 90th Cold Spring Harbor Laboratory Symposium on Quantitative Biology: AI in Biology.

Readers of this newsletter are not strangers to the fact that AI is reshaping biology. The tools derived from breakthroughs such as AlphaFold have been adopted by seemingly all biologists at this point. But it was stunning to see these advances celebrated so prominently in this venue. It felt historical.

As Bruce Stillman, CSHL’s current President, pointed out in his opening remarks, this topic connects back to the very origin of the Symposia—as the name suggests. Harris had spotted the emergence of a new quantitative paradigm in biology. Between then and now, molecular genetics did in fact transform biology into an information science.

It’s becoming more clear each day that the next chapter of this story is AI. Sydney Brenner, one of the most central figures of molecular biology, gave one of the most incisive criticisms of the field in his Nobel Prize lecture: “We’re drowning in a sea of data and starving for knowledge.” AI is starting to change that equation.

For five days, top researchers in the field shared updates on their efforts to use machine learning to decipher the mechanisms of DNA, RNA, proteins, cells, tissues, organs (especially the brain), and how information flows between these different biological scales. And there were examples of how AI agents might be able to autonomously carry out some of this research—which was met with a combination of excitement and anxiety from attendees.

It was one of the most compelling conferences I’ve ever attended, so I want to share some of what I saw. Before jumping in, this requires a few quick notes on the format of the event.

First, attending a Symposium feels like drinking from a scientific firehose—by design. CSHL is truly a Temple, or maybe even a monastery. Most attendees stay on campus and don’t leave for the duration of the conference. Talks are back-to-back all day in the main auditorium, followed by communal meals and poster sessions that run throughout the evening. It’s non-stop. My goal isn’t to give an exhaustive blow-by-blow, but to highlight some of the themes and topics I found most exciting.

Second, following in the tradition of Watson, many researchers share more new and unpublished data than is typical at other conferences. To respect this tradition, I’m going to focus on the data shared that has already been published, with more high-level descriptions of new research directions and results.

With all that said, let’s get into it! [...]

Agents, Agents, Agents

Maybe I’m in a bubble in San Francisco, but it’s hard not to constantly hear about AI agents in the year 2026. It’s strange to think, but it’s been three and a half years since ChatGPT was first released. That’s long enough for many humans to feel frustrated by the shortcomings of what was once magic. Now, we want these models to do work for us, and to carry out longer, more complex projects that require reasoning.

There are now many efforts to develop systems for “agentic science,” where AI models are able to autonomously develop new hypotheses, design experiments, and analyze results. This concept was another recurring theme at the symposium.

Pushmeet Kohli hit on this the first evening. The last third of his talk focused on DeepMind’s efforts to build an AI Co-Scientist, which they published a new paper on last month. Given a research goal by a human scientist, this system develops a research plan and then kicks off a “tournament” of agents competing to develop new hypotheses. Agents within this system have different tasks. Some are designed to “reflect” on the ideas being generated. Others are tasked with “evolving” them.

While the goal is hypothesis generation, the AI Co-Scientist itself is no longer just a hypothetical. DeepMind has already given early access to academic researchers working in a wide variety of biomedical domains. Kohli highlighted a high profile example where the Co-Scientist was able to predict a new mechanism of bacterial gene transfer before the result was published in the literature.

by Elliot Hershberg, The Century of Biology | Read more:
Image: uncredited/CSHL

[ed. See also: What’s new in biology: June 2026 (Works in Progress).]

Students Are Using a ‘Backdoor’ to Attend Their Dream Schools

Justin Helman didn’t get his dream acceptance from the University of Florida. But that isn’t stopping him from pursuing the classic college experience there.

The recent high-school graduate from Park Ridge, N.J., is set to move into a private apartment right by campus. He is enrolling in a UF online program for the first few semesters and paying an extra fee package to access services like the campus gym and student-section football-game tickets. He plans to study at the library, join clubs and might rush a fraternity.

“I’m going to get almost the entire same experience, and the only thing I’m really missing is going into class and dorming,” he said. “To me, it was just almost a no-brainer.”

More students like Helman are discovering there is another way into their dream schools.

Students who don’t get into major public flagships the traditional way are still participating in the social life of these campuses. The small-but-mighty group is moving to college towns, enrolling in online programs or nearby community colleges, living in private housing, joining Greek life, and attending game-day tailgates. The approach is sanctioned by the universities, which are expanding alternative-enrollment programs. [...]

Helman’s UF offer was to the school’s Pathway to Campus Enrollment program, which requires students to start online before transitioning to full in-person status. The program has exploded from about 250 students in 2015 to nearly 3,000 in fall 2024, according to the school’s website.

Helman will share a Gainesville, Fla., apartment with three other PaCE students who are moving from out-of-state, and said he has spoken to many others planning to relocate. He chose the program over traditional acceptances, some with scholarships and honors, including at the University of South Carolina, Seton Hall and University of Tennessee.

“This was his dream school,” said his mother, Maria Debowska-Helman. She added that his tuition would be cheaper than a traditional UF student’s. The optional fee package will cost around $550 for a semester, depending on the number of course credits. [...]

It is also controversial. Some students view these alternative pathways as “a cheat code,” Kraemer said. Some consultants agree, at times pointing to limited major-transfer options and instead pushing students to traditional paths.

by Roshan Fernandez, Wall Street Journal | Read more:
Image: Maria Debowska-Helman

The One Surprising Mistake Everyone Makes With Pancakes

The secret to consistently perfect pancakes lies in a few simple but crucial moves. And sometimes the biggest mistakes are not the things you did, but the things you didn’t do. Here is a primary culprit, with a few others to consider:

You’re not resting your batter

You know the old chestnut that the first pancake you fry is for the dog? That’s because if you haven’t let the batter rest, those first few pancakes will turn out too thin, with the batter running all over the pan. Letting the batter rest fixes this, giving the flour time to hydrate and the batter a chance to thicken. It also lets the leaveners (baking soda and baking powder) fully dissolve and disperse, so you get an even rise.

Pancakes made with a batter that has been rested for 10 minutes

The sweet spot is 10 to 30 minutes on the counter, but the batter will keep in the fridge for up to 48 hours. A longer rest actually deepens the flavor: The buttermilk has more time to work on the flour, yielding something slightly more complex. Pancakes made from an overnight batter won’t rise as much. If you know you’re going to keep the batter overnight, you can wait to add the leavener until just before frying, which helps with the rise. (The batter will be very thick by morning — that’s fine, don’t thin it out — and need a touch more time in the pan to cook through.)

One more thing to note: Lumps are not only OK; they’re expected. The goal when mixing is to combine the wet and dry ingredients until there are no streaks of dry flour — that’s it. A lumpy batter is a properly mixed batter. Those lumps will hydrate and smooth out as the batter rests. Overmixed batter, on the other hand, develops too much gluten, and the result is a flat, dense, rubbery pancake that no amount of syrup can save.

More common mistakes

If your batter is rested but still isn’t yielding a fluffy result, you may want to consider these popular pitfalls:

You’re not using an acid (like buttermilk)

A great pancake batter is a chemistry equation: Acid (buttermilk, lemon juice or vinegar) plus a base (baking soda) equals lift. When baking soda comes into contact with an acidic ingredient, it produces carbon dioxide bubbles. Those bubbles are what make your pancakes light and fluffy. Without acid in the batter, the baking soda is inert, and you’re left wondering why your pancakes came out dense.

The best source of that acid is a liquid like buttermilk, which adds a gentle tang and the right texture to make a nicely pourable batter. If buttermilk isn’t in your fridge, you have more options. Plain yogurt, sour cream or kefir also contain the right acidity — just thin them with regular milk or water so the batter stays pourable. Or use this classic trick: Stir a tablespoon of lemon juice or white vinegar into a cup of whole milk, let it sit for five minutes, and you’ve got a reasonable stand-in.

If you have any buttermilk left over, freeze it. It will lose a little potency over time, but it still works fine for your next batch.

And yes, you can make pancakes with water instead of milk. But don’t. The fat and protein in milk (and also, the butter and the eggs) is part of what makes a pancake a pancake. If you’re cooking for someone who can’t have dairy or eggs, use a dedicated vegan pancake recipe rather than trying to substitute your way through a conventional one.

Your baking soda and baking powder are old

Most pancake recipes call for baking soda and baking powder: Each does something specific. Baking soda is the more powerful of the two, reacting with the buttermilk to produce a fast, vigorous rise and give pancakes their deep golden brown color. Baking powder has the acid already built in, activating on its own once when the liquid hits it, and again when exposed to heat (this is what “double acting” means). Together, baking soda and powder give you pancakes that are well risen, nicely bronzed and tender.

Baking powder and soda do go stale, so be sure to check the expiration date. If you’re unsure, test them to see if they’re still active. For baking soda, drop a pinch into a small amount of vinegar or lemon juice — it should bubble vigorously. For baking powder, stir a teaspoon into hot water, which should cause it to fizz. If nothing happens, consider toast and eggs for breakfast instead.

Your pan is too hot or too cold

Pan temperature is another important variable in pancake cooking, and one that doesn’t get enough attention. Cook on a heat that’s too low, and your pancakes will be pale and doughy; too high, and the outside will scorch before the inside has a chance to set.

Start by heating your pan over medium-high heat for two to three minutes — longer if you’re using cast iron, which takes time to come up to an even temperature. Hold off on adding fat until the pan is hot enough. Here’s how to tell: Flick in a few drops of water. If they sizzle and evaporate on contact, you’re in the right range. If the drops skitter and dance around the surface, the pan is too hot. Pull it off the heat for 30 seconds before proceeding.

Once the temperature feels right, add your fat. A mix of butter and a neutral oil works best. Butter contributes flavor and browning, while oil raises the smoke point so that the butter won’t burn. For the crispiest edges, don’t be stingy. You want enough fat to swirl if you tilt the pan, not just a thin sheen. Then reduce the heat to medium and give the fat a moment to get hot before you pour in the batter.

Your first pancake is a test run. It will tell you whether your heat is right, whether your batter is the right consistency and whether you need more fat. If it comes out great, you’re a pancake master. If it doesn’t, eat it in the kitchen and adjust the heat. Be sure to add more fat between batches. And if the butter starts to blacken and smell burned, wipe out the pan with a paper towel before continuing.

Pan choice also has an impact. Cast iron, carbon steel and stainless steel all produce pancakes with crispy edges and caramelized bottoms. Nonstick is more forgiving and makes flipping easier, but the color will be paler and the edges not quite as crunchy.

You’re making them too big

The instinct is to fry big, diner-style pancakes, the kind you’d see people waiting in line for on social media. But smaller pancakes are almost always better pancakes. A smaller pancake has more surface area relative to its interior, which means it has crispier edges and is easier to flip. Use a ⅓-cup dry measure or a large ice cream scoop to portion your batter. Be sure to space the pancakes a couple of inches apart, since they’ll spread a bit.

by Melissa Clark, NY Times |  Read more:

Images: Julia Gartland for The New York Times. Food Stylist: Monica Pierini.

Qian Xuesen: "Father of Chinese Rocketry"; Deported Illegal Immigrant

Qian Xuesen (Chinese: 钱学森; December 11, 1911 – October 31, 2009; also spelled as Tsien Hsue-shen) was a Chinese aerospace engineer and cyberneticist who made significant contributions to the field of aerodynamics and established engineering cybernetics. He achieved recognition as one of America's leading experts in rockets and high-speed flight theory prior to his deportation to China in 1955.

Qian received his undergraduate education in mechanical engineering at National Chiao Tung University in Shanghai in 1934. He traveled to the United States in 1935 and attained a master's degree in aeronautical engineering at the Massachusetts Institute of Technology in 1936. Afterward, he joined Theodore von Kármán's group at the California Institute of Technology in 1936, received a doctorate in aeronautics and mathematics there in 1939, and became an associate professor at Caltech in 1943. While at Caltech, he co-founded NASA's Jet Propulsion Laboratory. He was recruited by the United States Department of Defense and the Department of War to serve in various positions, including as an expert consultant with a rank of colonel in 1945. He became an associate professor at MIT in 1946, a full professor at MIT in 1947, and a full professor at Caltech in 1949.

During the Second Red Scare in the 1950s, the United States federal government accused him of communist sympathies. In 1950, despite protests by his colleagues and without any evidence of the allegations, he was stripped of his security clearance. He was given a deferred deportation order by the Immigration and Naturalization Service, and for the following five years, he and his family were subjected to partial house arrest and government surveillance in an effort to gradually make his technical knowledge obsolete. After spending five years under house arrest, he was released in 1955 in exchange for the repatriation of American pilots who had been captured during the Korean War. He left the United States in September 1955 on the American President Lines passenger liner SS President Cleveland, arriving in mainland China via Hong Kong.

Upon his return, he helped lead development of the Dongfeng ballistic missile and the Chinese space program. He also played a significant part in the construction and development of China's defense industry, higher education and research system, rocket force, and a key technology university. For his contributions, he became known as the "Father of Chinese Rocketry" and was nicknamed the "King of Rocketry". He is recognized as one of the founding fathers of Two Bombs, One Satellite.

In 1957, Qian was elected an academician of the Chinese Academy of Sciences. He served as a Vice Chairman of the National Committee of the Chinese People's Political Consultative Conference from 1987 to 1998.

He was the cousin of engineer Hsue-Chu Tsien, who was involved in the aerospace industries of both China and the United States. He is a cousin of the father of Roger Y. Tsien, the 2008 winner of the Nobel Prize in Chemistry. [...]

Outside of rocketry, Qian had a presence in numerous areas of study. He was among the creators of systematics, and made contributions to science and technology systems, somatic science, engineering science, military science, social science, the natural sciences, geography, philosophy, literature and art, and education. His advancements in the concepts, theories, and methods of the system science field include studying the open complex giant system. Additionally, he helped establish the Chinese school of complexity science. His research advanced the discipline of engineering cybernetics, which emphasized the importance of design principles in practical engineering.

via: Wikipedia |  Read more:

Image: unknown

[ed. Prelude to the post that follows (re: Gov. vs. Anthropic's Fable).]

Ocean Observatory Will Go Dark Under Trump Funding Cuts

A portion of one of the most ambitious ocean monitoring networks ever built will go dark this month when scientists board a research vessel and motor off the Oregon coast to pull a research buoy from deep out of the Pacific.

The buoy 80 meters (260 feet) below the water’s surface will be removed June 16 from the Ocean Observatories Initiative — a network of more than 900 ocean sensors built at a cost of $386 million that has continuously collected real-time data for more than a decade. But last month, the National Science Foundation announced it would dismantle most of the system, pulling instruments from waters off Oregon, Washington, Alaska, North Carolina and Greenland by 2027.

Funded by the foundation, the observatories have tracked everything from ocean circulation and marine ecosystems to climate change and extreme weather. Its data has been freely available and has informed more than 500 scientific publications. The project was slated to run for another 15 to 20 years.

In an emailed statement, the foundation said the decision is not a cancellation, but a “descoping” aligned with a “wider strategy of a nimbler approach to prioritize support for evolving scientific priorities and emerging technologies, as well as smart lifecycle management within its research infrastructure portfolio.” The foundation added that its decision drew in part on a 2025 National Academies report on the future of ocean science. [ed. There has to be some kind of annual award for worst word salad example. This would certainly qualify.]

But for the scientists who built and operated the system — and the researchers, educators and students who rely on its data — the timing feels particularly punishing.

An El Nino event, which disrupts weather patterns and supercharges marine heat waves, is predicted to arrive along the Pacific coast this summer. One marine heat wave is already pushing unusually warm water off California.

Without the Oregon and Washington moorings and the network of underwater gliders the Ocean Observatories Initiative operated in the region, researchers say they’ll lose much of their ability to measure what’s happening below the surface, which is precisely where the most significant oceanographic signals are.

“It’s a crippling loss of information,” Ed Dever, a professor at Oregon State University who helped lead the initiative’s Pacific Northwest operations, told The Associated Press Tuesday. Scientists can get some data from the surface, such as temperature and the distribution of chlorophyll, which drives photosynthesis in plants, but information below cannot be gathered from satellites alone, including low oxygen zones. [...]

The initiative operated on roughly $48 million a year, not including the cost of research vessels, which adds substantially to the overall price. Prior to budget cuts, which began in 2025, around 60 to 70 people worked directly on the project across its partner institutions, Dever said.

“What’s happening with the Ocean Observatories Initiative is not unique,” he said. “This is just one of a number of science facilities that is being dismantled at the present time. It seems to really mark the end of a federal commitment to basic scientific research — a commitment that has served this nation very well for the last 70 years.”

by Annika Hammerschlag, AP |  Read more:
Image: Darlene Trew Crist/Woods Hole Oceanographic Institution via AP

[ed. See also: How the 19th-Century Know Nothing Party Reshaped American Politics (Smithsonian):]

***

Like Fight Club, there were rules about joining the secret society known as the Order of the Star Spangled Banner (OSSB). An initiation rite called “Seeing Sam.” The memorization of passwords and hand signs. A solemn pledge never to betray the order. A pureblooded pedigree of Protestant Anglo-Saxon stock and the rejection of all Catholics. And above all, members of the secret society weren’t allowed to talk about the secret society. If asked anything by outsiders, they would respond with, “I know nothing.”

So went the rules of this secret fraternity that rose to prominence in 1853 and transformed into the powerful political party known as the Know Nothings. At its height in the 1850s, the Know Nothing party, originally called the American Party, included more than 100 elected congressmen, eight governors, a controlling share of half-a-dozen state legislatures from Massachusetts to California, and thousands of local politicians. Party members supported deportation of foreign beggars and criminals; a 21-year naturalization period for immigrants; mandatory Bible reading in schools; and the elimination of all Catholics from public office. They wanted to restore their vision of what America should look like with temperance, Protestantism, self-reliance, with American nationality and work ethic enshrined as the nation's highest values.

The Loneliness of the Competitive Quizzer

Facts are funny things. It was a fact, for instance, that in the spring of 2024 I won $132,000 playing trivia. That May, I’d flown from Oxford, where I was a graduate student, across the Atlantic to a soundstage in Los Angeles, and played for eight good days on Jeopardy!

 

It was also a fact—one I liked to tastefully overlook when asked at holidays or on trips home—that I was unemployed, that I’d gone to Oxford for a master’s degree in large part to escape further unemployment. But I had been decent on Jeopardy!, and I knew that decent trivia players were often invited back for a second chance at more money. Returning to the show, however—for something like the Tournament of Champions or the Jeopardy! Invitational—meant facing tougher questions against better players. And it was a fact that, to prepare for this possibility, I would need to throw myself into the world of competitive trivia, or quiz.

Quiz is many things to the disciple. It is not simply trivia. It is not simply a hobby. It verges, for the believer, on a way of life. Originating out of Depression-era American radio quiz shows and really taking root in the UK in the 1970s, quiz is a species of especially rigorous trivia, with regimented online competitions and questions that tilt toward the obscure. Elite quizzers are known to prep for, at minimum, two or three hours a day, thumbing through hundreds of thousands of flashcards at rapid-fire pace. They participate in four or five leagues a week. This can be all-consuming, but it can also vault the elite quizzer into a rarefied echelon of erudition. These players have spent decades in the ceaseless memorization of facts and are nearer, maybe than anyone else in history, to the sum total of human knowledge.

Each year, the greatest quizzers from around the globe assemble at the International Quizzing Championships (IQC) to vie for glory. IQC is perhaps the most prestigious—and difficult—trivia tournament in the world. It features a battery of individual competitions, testing general and specialized knowledge, as well as an Olympic-style contest for national teams. The weekend-long event culminates with the Individual Quiz and Nations Cup finals, but also includes specialist quizzes (designed to test aptitude in specific subjects) and an Aspirational Cup (for those teams which didn’t make playoffs, but one day, perhaps, might). IQC might function as a social mecca for the obsessively curious, but it’s also armed with a caliber of brainpower that’d outgun much of the Ivy League. I wanted to meet these elite quizzers, to learn from them. And deep down, I wanted to win.

by Drew Basile, The Baffler |  Read more:

Image: © Arnaud Aubry

The Pleasure of Finding Things Out

This is the edited transcript of an intewiew with Feynman made for the BBC television program Horizon in 1981, shown in the United States as an episode of Nova. Feynman had most of his I$ behind him by this time (3e died in 1988), so he could reflect on his experiences and accomplishments with the perspective not often attainable by a younger person. The result is a candid, relaxed, and very personal discussion on many topics close to Feynman's heart: why knowing merely the name of something is the same as not knowing anything at all about it; how he and his fellow atomic scientists of the Manhattan Project could drink and revel in the success of the terrible weapon they had created while on the other side of the world in Hiroshima thousands of their fellow human beings were dead or dying from it; and why Feynman could just as well have gotten along without a Nobel Prize.

The Beauty of a Flower 

I have a friend who’s an artist and he’s sometimes taken a view which I don’t agree with very well. He’ll hold up a flower and say, “Look how beautiful it is,” and I’ll agree, I think. And he says - “you see, I as an artist can see how beautiful this is, but you as a scientist, oh, take this all apart and it becomes a dull thing.” And I think that he’s kind of nutty. First of all, the beauty that he sees is available to other people and to me, too, I believe, although I might not be quite as refined aesthetically as he is; but I can appreciate the beauty of a flower. At the same time I see much more about the flower than he sees. I can imagine the cells in there, the complicated actions inside which also have a beauty. I mean it’s not just beauty at this dimension of one centimeter, there is also beauty at a smaller dimension, the inner structure. Also the processes, the fact that the colors in the flower evolved in order to attract insects to pollinate it is interesting - it means that insects can see the color. It adds a question: Does this aesthetic sense also exist in the lower forms? Why is it aesthetic? All kinds of interesting questions which shows that a science knowledge only adds to the excitement and mystery and the awe of a flower. It only adds; I don’t understind how it subtracts. 

Avoiding Humanities 

I’ve always been very one-sided about science and when I was younger I concentrated almost all my effort on it. I didn’t have time to learn and I didn’t have much patience with what’s called the humanities, even though in the university there were humanities that you had to take. I tried my best to avoid somehow learning anything and working at it. It was only afterwards, when I got older, that I got more relaxed, that I’ve spread out a little bit. I’ve learned to draw and I read a little bit, but I’m really still a very one-sided person and I don’t know a great deal. I have a limited intelligence and I use it in a particular direction.

Tyrannosaurus in the Window 

We had the Encyclopaedia Britannica at home and even when I was a small boy [my father] used to sit me on his lap and read to me from the Encyclopaedia Britannica, and we would read, say, about dinosaurs and maybe it would be talking about the brontosaurus or something, or the tyrannosaurus rex, and it would say something like, “This thing is twenty five feet high and the head is six feet across,” you see, and so he’d stop all this and say, “Let’s see what that means. That would mean that if he stood in our front yard he would be high enough to put his head through the window but not quite because the head is a little bit too wide and it would break the window as it came by.” 

Everything we’d read would be translated as best we could into some reality and so I learned to do that - everything that I read I try to figure out what it really means, what it’s really saying by translating and so (LAUGHS) I used to read the Encyclopaedia when I was a boy but with translation, you see, so it was very exciting and interesting to think there were animals of such magnitude - I wasn’t frightened that there would be one coming in my window as a consequence of this, I don’t think, but I thought that it was very, very interesting, that they all died out and at that time nobody knew why. 

We used to go to the Catskill Mountains. We lived in New York and the Catskill Mountains was the place where people went in the summer; and the fathers - there was a big group of people there but the fathers would all go back to New York to work during the week and only come back on the weekends. When my father came he would take me for walks in the woods and tell me various interesting things that were going on in the woods - which I’ll explain in a minute - but the other mothers seeing this, of course, thought this was wonderful and that the other fathers should take their sons for walks, and they tried to work on them but they didn’t get anywhere at first and they wanted my father to take all the kids, but he didn’t want to because he had a special relationship with me - we had a personal thing together - so it ended up that the other fathers had to take their children for walks the next weekend, and the next Monday when they were all back to work, all the kids were playing in the field and one kid said to me, “See that bird, what kind of a bird is that?” And I said, “I haven’t the slightest idea what kind of a bird it is.” He says, “It’s a brown throated thrush,” or something, “Your father doesn’t tell you anything.” But it was the opposite: my father had taught me. Looking at a bird he says, “Do you know what that bird is? It’s a brown throated thrush; but in Portuguese it’s a . . . in Italian a . . . ,” he says “in Chinese it’s a . . . , in Japanese a . . . ,” etcetera. “Now,” he says, “you know in all the languages you want to know what the name of that bird is and when you’ve finished with all that,” he says, “you’ll know absolutely nothing whatever about the bird. You only know about humans in different places and what they call the bird. Now,” he says, “let’s look at the bird.”

He had taught me to notice things and one day when I was playing with what we call an express wagon, which is a little wagon which has a railing around it for children to play with that they can pull around. It had a ball in it - I remember this - it had a ball in it, and I pulled the wagon and I noticed something about the way the ball moved, so I went to my father and I said, “Say, Pop, I noticed something: When I pull the wagon the ball rolls to the back of the wagon, and when I’m pulling it along and I suddenly stop, the ball rolls to the front of the wagon,” and I says, “why is that?” And he said, “That nobody knows,” he said. “The general principle is that things that are moving try to keep on moving and things that are standing still tend to stand still unless you push on them hard.” And he says, “This tendency is called inertia but nobody knows why it’s true.” Now that’s a deep understanding - he doesn’t give me a name, he knew the difference between knowing the name of something and knowing something, which I learnt very early. He went on to say, “If you look close you’ll find the ball does not rush to the back of the wagon, but it’s the back of the wagon that you’re pulling against the ball; that the ball stands still or as a matter of fact from the friction starts to move forward really and doesn’t move back.” So I ran back to the little wagon and set the ball up again and pulled the wagon from under it and looking sideways and seeing indeed he was right - the ball never moved backwards in the wagon when I pulled the wagon forward. It moved backward relative to the wagon, but relative to the sidewalk it was moved forward a little bit, it’s just [that] the wagon caught up with it. So that’s the way I was educated by my father, with those kinds of examples and discussions, no pressure, just lovely interesting discussions.

by Richard Feynman, Learning Media MIT.edu |  Read more: (pdf)
Image: uncredited

Childhood And Education: Letting Kids Be Kids

I cannot emphasize enough the need to let kids be kids. In Childhood and Education #16: Letting Kids be Kids, I went over exactly how insane we have gotten about destroying the lives of children and along with them the lives of parents and others forced to devote endless hours to actively destructive supervision.

I’ll go over a refresher of that, some related new anecdotes, and then some other related questions.

People Don’t Let Kids Do Things

As a refresher, here are some quotes and statistics from last time, because I really do think exposure to this type of thing needs to involve spaced repetition to sink in:

1. A third of people, both parents and non-parents, responded in a survey that it is not appropriate to leave a 13 year old at home for an hour or two, as opposed to when we used to be 11 year olds babysitting for other neighborhood kids.

2. A third of people said in that same survey that if a 10-year-old is allowed to play alone in the park, there needs to be an investigation by CPS.

Harris Poll: More than half of the kids surveyed have not experienced many real-life experiences on their own. According to the kids surveyed aged 8 to 12 years old:

• 45% have not walked in a different aisle than their parents at a store

• 56% have not talked with a neighbor without their parents

• 61% have not made plans with friends without adults helping them

• 62% have not walked/biked somewhere (a store, park, school) without an adult

• 63% have not built a structure outside (for example, a fort or treehouse)

• 67% have not done work that they’ve been paid for (e.g., mowing lawns, shoveling snow, babysitting)

• 71% have not used a sharp knife

Lenore Skenazy: During that visit, I was told that children could never be left alone, inside or outside the home—EVEN IN THEIR OWN BEDROOMS—until they were 13 years old. Social Services said specifically that I had to be in each room with them at all times until they were 13. That investigation ended without incident. …

When I asked what constitutes supervision, she said that I had to be visible to my neighbors when the kids were outside, regardless of whether or not I could see the children. I asked where that was found in the Virginia law. She replied that it isn’t in the Virginia law, but that Social Services has its own set of rules.

Bethany: I just sent my 12 year old in to go get a dozen donuts while I waited in the car.

“Mom they will wonder why I’m alone.”

Polimath: My kids used to love walking to Target until the local Target changed their policy to “no unaccompanied kids under 18”

There are 72,000,000 kids in America and about 100 non-governmental kidnappings by strangers a year. If you left your child unattended, the original claim is that they would get kidnapped once every 750,000 years.

Maxwell Tabarrok: 37% of all American children are investigated by CPS. 2 million investigations, 530k substantiated cases, and 200k family separations every year. [...]

Let Your Children Play

Yes, it is actively good for children to learn to entertain themselves, at the earliest age possible. As a bonus, it is also excellent for you the parent, but it’s great for them too.

We used to know this. Now we need to be reminded. Last time I emphasized the general argument, here I will follow up with an example of the paranoia we instill about how this might somehow be bad, actually.

Girl about something: Is it ACTUALLY true that it’s good for me to let my baby entertain himself, or is it just selfishness because I can be doing something else while he plays? Tell the truth.

Based Sipper Wife | Mrs. Tomasone | Already sipped: It’s good for him! You know how people suffer from short attention spans and always needing to be entertained? Every time you let him play uninterrupted, you’re holding off that problem and helping him sustain focus

shiloh.: it’s so good, please teach your baby to play independently. if he were unhappy or lonely he’d cry & come to you. development of independent play is SO good for them (or course balanced with showing / talking / engaging)

is for baby whisperer: actually, seriously, a fantastic gift you can offer your child.

The problem, of course, is not any threat other than CPS.

Don’t Fear The CPS

And yet, somehow, even with direct observation many people think you shouldn’t be able to go two doors down.

And by shouldn’t, some of them say (I hope she means only if they actually do it, not because they simply think it was okay in theory, but I’m not sure):

MNBonnie: Over 54% of you need a visit from CPS. Holy shit.

Romy: wow yeah the logical conclusion here is that over half of all parents should have their kids taken away.

This behavior is obviously fine except insofar as someone might call CPS, but even if it wasn’t fine, it’s crazy to think about what that call implies.

Kelsey Piper: I don’t think that it’s a good idea to take peoples’ children away because they do a completely safe thing that is slightly different than the completely safe thing you do.

It is a bad outcome when CPS conducts an inspection of a family that is doing a great job raising kids in a lovely home but doing something slightly unusual. It is a way to terrorize those parents into compliance with standards that would never be the law and make no sense.

… I have had friends who have had their homes inspected because of stuff on the scale of ‘toddler fell at the playground and got a bruise’, yes. It was super stressful and probably made them inclined to be more safetyist and terrified of normal childhood falls!

Andrew Rettek: Yep. It sucks.

Romy: the number of people invoking cps every time they hear about a parenting choice that they wouldn’t make is really disturbing.

do you understand what claim you’re making when you say someone should have cps called on them? you’re saying that you believe their child would be better off ripped from the only home they’ve ever known and put in the care of strangers. moreover, you’re saying you believe the median foster parent is a better parent than their current parents.

you’re also saying you think we should dedicate state resources to carrying out this process. social workers already have caseloads too big to manage dealing with kids in homes with serious drug addiction, abuse, neglect and often fail to successfully intervene when it’s desperately needed.

you want these same social workers to spend time taking kids away from parents who leave them in a locked and air conditioned car for 2 minutes while they run into the store, or who watch them on the baby monitor while they catch up with the neighbors? really? if you were in charge of society this is what you’d do?

yep, in every case i’ve ever seen this raised for on twitter it would be infinitely worse than the home the kid is already in, even without accounting for the trauma of the kid being taken from their parents.

Mason: We also don’t actually want a society of traumatized and cowed parents

One function of CPS is to serve as a “wake up call” for bad parents. But you do not want a huge % of good parents making all of their parenting decisions under some abject terror that they may look negligent.

One problem with allowing any idiot to use the state as their cudgel is that a lot of people lack the imagination to anticipate the immediate consequences of their actions for other people, asking them to consider second-order effects is a total lost cause.

This is why a lot of older story arcs involve a “nosy neighbor” character who comes to embody something like the banality of evil or malicious ignorance. There used to be very strong norms against even *suggesting* that you might report people to the state for minor infractions.

Romy: the vast majority of babies ever born were raised by parents who would consider live video monitoring of a sleeping baby so excessive they’d be confused by the concept.

having a baby is hard in a bunch of ways, but a whole lot of parents are making it much harder than it needs to be. they’re doing their best to shame everyone else into having a harder time than necessary too.

by Zvi Mowshowitz, Don't Worry About the Vase |  Read more:

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