I also was struck by the high proportion of Chinese visitors at this show, even though they are not especially numerous in Florence right now.

The main Rothko show, at Palazzo Strozzi, had an opening room showing Rothkos tied to Renaissance (!) art, mostly with works from early Rothko.  The rest of the exhibit had perfect lighting and was the best Rothko display I have seen.

Ken Griffin has very good taste in Rothko.  One of his works is here.

Visiting Florence in August is less unbearable than I was expecting.  So many other places have become crowded that the situation here does not phase me.  Plus the heat is keeping many away?  At dinnertime, there is no crush to get into the restaurants.

Moving on shortly, just here for one day!

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2. Ugly architecture creates coalitions against development.

3. London is (modestly) degentrifying.

4. Is the “no forward guidance” approach failing? (FT)

5. Chinese interview with Christopher Nolan.

6. “social media use and school grades are unrelated for adolescents…meta-analytic evidence is not in support of dramatic claims relating social media use to mischief.” Link here.

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The cost of generating the proofs for all 10 of these breakthroughs combined was under $2,000 at Sol API prices. We’re excited to see what scientists and researchers are able to create with our upcoming Astra models!

That is from Noam Brown, at the link you will find his list of the ten breakthroughs.  Here are some views on the import of these.

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OECD countries experienced declining native population growth and rising net immigration over 1990-2024. We compile a new dataset of net immigration rates to OECD countries from all origins and show that most of the increase came from non-OECD countries and was predominantly high-skilled. Push factors, network effects, and policy indices explain little of the large cross-country heterogeneity in immigration dynamics; unexpected shocks and surges were common. Using local projections and several sources of identifying variation, we then estimate the relationship between immigration and growth in GDP per capita, labor productivity, capital investment, and total factor productivity (TFP). Immigration from non-OECD countries was a significant predictor of GDP per worker growth, primarily through higher investment. High-skilled immigration, in particular, was associated with stronger human capital accumulation, faster TFP growth, and greater capital deepening. Native population growth, by contrast, had no or weakly negative effects on GDP per capita and productivity. These results are consistent with a large literature documenting the positive productivity and growth effects of immigration, especially high-skilled immigration.

That is from a new NBER working paper from Gaetano Basso, Mitali R. Mathur & Giovanni Peri.  The natives are just not that impressive!

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Aparajeet Shadangi, 17, received his grant to explore conceptual approaches to cosmic expansion and dark energy while continuing his formal academic preparation in cosmology.

Kevin Gibson, a student developer, received his grant for Crsynk OS, a Python-based operating system integrated with an AI assistant and focused on lightweight user interfaces and accessible computing. He is also developing WiseChat AI and an AI Voice Engine.

Vaishnavi Dilip, 13, received her grant to identify fire-resistant plants native to Indian ecosystems and plant them strategically as natural firebreaks in fire-prone areas.

Prince T. Philip, an independent cybersecurity researcher and product architect focused on high-impact, future-facing risks in modern software systems, received his grant to build a security audit tool that surfaces vulnerabilities and design assumptions missed by traditional scanners.

Michaela Cross, a writer and content creator, received her grant for Rose Chasm, a video project on the history of India and its relationship to America and the wider world.

Vivekanand Bhat and Rijesh Panicker received their grant for Pathika, to create immersive, augmented, multilingual onsite guided tours for heritage monuments across India.

Devanarayan, 15, received his grant for Open Horizon Observatory, a small open-access observing setup that produces and freely shares real astronomical data. He is developing low-cost workflows for time-series photometry and open data sharing for students and the public.

Roshan Kumar Gupta, 19, a computer science undergraduate, received his grant for TARS, a deterministic, physics-aware machine-learning pipeline for exoplanet discovery using TESS data. He aims to reduce false positives and identify physically credible habitable-world candidates in noisy observations.

Yajan Adhikari, 19, a materials researcher, received his grant to build an operating system for digitizing and scaling the management of recyclable materials.

Pranet Khetan, 17, received his grant to develop a novel, low-cost architecture for refreshable tactile graphics supporting STEM education for visually impaired students.

Karthik, 18, a space engineer, received his grant to research the use of remote sensing in agricultural insurance.

Alexander Hogeveen Rutter, an energy expert, received his grant for analysis and advocacy of least-cost resource adequacy planning and other market-based measures in India’s power sector.

Akshit Arora, an Engineering Physics student at IIT Delhi, and Bhavey Sehgal, a BITS Pilani student, received their grant for NeuroBridge. It uses eye tracking, computer vision, and AI to predict intent, giving people with ALS fast, confirmation-based speech instead of slow letter-by-letter eye typing, at a fraction of existing device costs.

Cartoonist Sumit Kumar and Vivekananda Roy Ghatak received their grant to advance their animated series Aaapki Poojita and produce short, animated sketches and redesign and relaunch the famous Bakarmax webtoon platform.

Progyan Das, 24, received his grant to develop fault-tolerant systems capable of using consumer devices for large-scale foundation model training.

Yash Chitte, an MBA student, received his grant to build a wall-climbing robot that autonomously cleans glass facades.

Khushi Jain, 23, an aerospace engineer, received her grant for NadirX Space, to build space-grade test infrastructure and hardware-in-the-loop systems that enable reliable testing of advanced space technologies and support future interplanetary missions.

Rishit Kapoor, an AI/ML researcher and engineer, received his grant for Periscopic Labs, which turns systematic reviews into living, AI-native infrastructure that keeps scientific claims traceable, verifiable, and continuously updated.

Koushik Das received his grant to build an explainable clinical decision-support system that helps primary-care doctors interpret complete blood count reports and detect anemia patterns more quickly and safely.

Shashank Sanjay, a medical student, received his grant to develop an affordable coronary stent.

Abrar Shahid, a systems designer using AI to reduce accessibility gaps, received his grant for Project Lumen AI, to build an AI translation layer connecting external eye photographs with retinal fundus scans and make eye-disease diagnosis easier.

Those unfamiliar with Emergent Ventures can learn more here and here. The EV India announcement is here. More about the winners of EV India second, third, fourth, fifth, sixth, seventh, eighth, ninth, tenth, eleventh, twelfth, thirteenth, fourteenth, and fifteenth , sixteenth, and seventeenth cohorts. To apply for EV India, use the EV application, click the “Apply Now” button and select India from the “My Project Will Affect” drop-down menu.

And here is Nabeel’s AI engine for other EV winners. Here are the other EV cohorts.

If you are interested in supporting the India tranche of Emergent Ventures, please write to me or to Shruti at srajagopalan@mercatus.gmu.edu.

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While donor-driven programs undoubtedly saved millions of lives, they also created unintended distortions in national health priorities.  Many governments in sub-Saharan Africa and parts of Asia actually scaled back domestic health investments, as donor program filled key gaps in HIV/AIDS, maternal and child health, and infectious disease control.  In some cases, domestic health budgets shrank in real terms, even as external funding increased.  This phenomenon, often referred to as “fiscal substitution,” led to national health systems that were heavily donor-dependent, externally managed, and vulnerable to funding shocks.  Notably, this reliance emerged despite countries pledged to allocate at least 15% of their national budgets to health.  More than two decades later, only a handful has met this target.

That is from the new and useful book by Michael John Alastair Reid and Eric Paul Goosby.  But $150 for a not so thick volume!?  If the authors believe in aid, as they should, perhaps they could consider giving this book away for free rather than turning it over to Elsevier…?

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2. Will they ruin the look of Dulles airport?

3. Pathways into homelessness.

4. Defensible valuations for AI companies.

5. Further reasons why very rapid economic growth is very difficult to achieve.

6. Over 20,000 precolonial earthworks in the Southwest Amazonia.

The post Friday assorted links appeared first on Marginal REVOLUTION.

       

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Trebuchets reached the peak of their development in medieval times, probably the most famous example being Edward I’s massive machine, Warwolf.  This terrifying device was over sixty feet (18 meters) high and was capable of throwing a three-hundred-pound (140-kilogram) rock several hundred yards, projecting some five hundred kilojoules of energy, a thousand times the power of Roman ballistas and five thousand times as powerful as a single person.  Edward used it just once, in 1304 during his wars of conquest against the Scots, to attack Stirling Castle, the last stronghold of the Scottish armies.  The defenders were so petrified by the prospect of the attack that they sued for peace before Warwolf could be used, but Edward refused to let them surrender until he had tested the machine; in four days it totally destroyed one of the castle’s curtain walls.

That is from the new and interesting The Powerful Primate: How Controlling Energy Enabled us to Build Civilization, by Roland Ennos.

The post An unprecedented weapon? appeared first on Marginal REVOLUTION.

       

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How do “international efforts” work? Unlike most of the signatories of the letter, I have been a State Department advisor and have participated in multiple treaty negotiations. I have also been a member of technical committees for UN technical agencies.

The international sector is unbelievably dysfunctional. Every single treaty or international agreement is an opportunity for every participant to manipulate the much broader policy environment. Often the participants don’t care about the object of the agreement, and are instead trying to use the agreement as leverage for something else. I have seen countries use their limited leverage in multilateral agreements to try to kneecap American industry, get around sanctions, create a pretense of international justification for domestic illiberalism, or steer technology in an authoritarian direction.

The damage from this dysfunction is limited by the fact that there are zero major countries (and not that many smaller countries) who will actually bind themselves in meaningful ways that they don’t narrowly want. If a previously signed treaty turns out to be inconvenient, it is often subtly ignored or reinterpreted.

In addition, treaty delegations working on industrial issues generally reflect the full spectrum of special interests involved in an issue. A US AI treaty delegation might be led by a State Department ambassador, but he will be advised by representatives of the interagency, major labs, other major tech companies, tech investors, civil society, etc.

“International efforts,” therefore, is not a reassuring answer to the governance problem; it is the name of another enormous, unresolved governance problem.

Here is the full tweet.

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This paper uses computational linguistics to introduce a novel measure of firm-level cyber risk exposure based on the quarterly earnings calls of listed firms. Our measure covers more than 14,000 firms from over 90 countries between 2003 and 2025. The measure is validated using human auditors and a large language model. We show that cyber risk exposure affects stock returns and profits, is priced in the options market, predicts actual cyberattacks, and propagates from firm to sector level. Back-of-the-envelope estimates suggest that the global cost of cyber risk exposure is around $1 trillion per year.

That is from a recent paper by Rustam Jamilov, Hélène Rey, and Ahmed Tahoun, forthcoming in the Journal of Finance.

That the market prices cyber risk is a point we should not so readily forget.  Is anyone arguing that recent market declines are due to higher perceived cyber risk?  Does the distribution of these declines match that hypothesis?  (Are we possibly seeing the opposite of what that hypothesis might predict, namely that those companies with the best potential defenses are suffering the most?)  If the cyber risk cost per year had been about $1 trillion a year, what do we think it is now?  Surely members of the rationality community will defer to the scientific methods of investigating these claims…

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2. Young adults are using AI to manage their social media feeds (WSJ).

3. What predicts an NBA Achilles tear?

4. LLM data set on changing cultural trends over the centuries.

5. Xi’an Famous Foods is coming to Clarendon.

6. If a German expressionist movie director had filmed a silent Odyssey in the 1920s.

7. Important NBER methods lecture at 3 p.m. eastern today.

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Here, for example, is a picture of the habitat (red) and control areas (blue) for when the Northern Long Eared Bat was put on the endangered species list.

The bottom left panel measures annual housing permits per 1000 1980 pop in treatment (red) versus control (blue) areas. The bottom right is the event study coefficients. After the bat was put on the endangered species list, the number of new housing permits declined in areas where bats might live relative to control areas.

Here is what happened when the Peregrine falcon was delisted. Before the delisting, housing permits were lower in regions (red) where the falcon had habitat compared to controls areas but after the delisting the treatment areas caught up to the control areas.

Overall:

…this paper provides evidence that an additional endangered species listing reduces annual housing permit flows by 0.5 permits per thousand 1980 residents, about 10% of the average place’s permit flow. Accounting for spillovers and diminishing costs, my estimates suggest the aggregate effect of the ESA has been to reduce the national housing stock by…roughly 6.3 million missing units over 1980–2024, about 4% of the 2025 housing stock.

Now, you might say, ok this shows the ESA has costs. What about the benefits of the ESA? It’s hard to measure the benefits, of course, or even know if the ESA is effective. But Max shows using satellite data that there are quite a few places where the ESA binds on infill development.

…at the intensive margin of housing production, new developments are often replacing existing buildings or are filling in space in a highly developed area that could not host endangered species even if no new construction took place. On the intensive margin, the tradeoff with species protection does not bind, and may even be positive sum as it substitutes for less dense greenfield development. Therefore, whether and how much the ESA constrains development on the extensive vs intensive margin is relevant to the tradeoffs we face between housing production and species protection, and thus is relevant to the aggregate welfare effects of the law.

In this section I extend the main empirical specification of the paper to satellite data on land use from the National Land Cover Database (NLCD) (Multi-Resolution Land Characteristics Consortium, 2025) and to heterogeneity within the Building Permits Survey to assess where the effects of the Endangered Species Act are accruing.

The NLCD is a set of satellite images of the United States compiled and pre-classified by the U.S. Geological Survey. They classify 30-square-meter pixels into one of fifteen land use groups, including four levels of development, three types of forest, and two types of wetland. The NLCD has annual files going back to 1985. I overlap these pixels with the map of permit-issuing places in the BPS using constant 2024 borders, and track the changes to pixels within each place over time. The hazard rate of extensive margin or greenfield development is measured by the flow of non-developed pixels (e.g., forests or wetlands) into any of the four levels of developed land use, divided by the total area of greenfield land use.

He concludes:

The most urbanized 15% of places are responsible for 90% of total permit flows, while the highest-value endangered species habitat is well outside these developed areas. The Endangered Species Act seems to restrict infill development in these dense areas as much as it restricts greenfield development in exurban sprawl (Table 9, Table 10, Table 11). Relaxing the legal mechanism of the Endangered Species Act in already developed areas may increase permit flows in dense, energy- and land-efficient cities in California and on the East Coast at the expense of sprawling suburbs in the Sun Belt, increasing both housing supply and endangered species habitat.

The Trump administration is trying to limit the ESA, multiple lawsuits have already been filed. Max’s paper is thus timely and it points to a fix that might satisfy housing proponents and environmentalists: relax the ESA’s bite on infill and redevelopment in already-built-up areas, where the housing-versus-habitat tradeoff barely binds, rather than across the board.

Addendum: Obviously, I am pleased as punch to see this paper in print. Max began writing the paper before graduate school–he has only just finished his first year. He was fortunate to have had lots of great advice along the way, most notably from a superb pre-doc he did at Dartmouth under the auspices of Heidi Williams.

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At least nine schools — three in Florida, five in Georgia and one in Colorado — will have storage boxes that house the plastic, nonlethal aircraft made by Austin-based Mithril Defense. The drones, which can be activated by teachers, are capable of reaching a shooter within 15 seconds.

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Australia was the richest country on earth, per capita, for decades. After the 1850s gold rush, up until the 1890s depression, Australia had the highest per capita income in the world. In 1850, probably only the United Kingdom and the Netherlands sat above Australia, by about 20 per cent, with the United States 9 per cent below. After the gold rushes Australia passed both, and from 1860 to 1890 the gap over the United States ran at 25 or 30 per cent.

And:

A cow cost as much as £84 in 1796, about several years’ wages for an English labourer. Only government, or its military/civil officers, owned cattle and horses in 1796, which were extraordinarily hard to import in the first decade, having to survive the long distance from South Africa or India. In England, an ordinary cow would have cost around £10.

And:

John Stuart Mill and Harriet Taylor seriously discussed running off to Australia. Mill was an active supporter of the movement that founded South Australia, joining the South Australian Association. Harriet’s younger brother, Arthur Hardy, migrated to South Australia and became a pastoralist and politician there. Liberals hoped that South Australia would become a progressive leader in political and social equality. Indeed, South Australia became the first self-governing jurisdiction in the world to allow women to vote and stand for parliament, in 1895.

And:

Australia’s 1890s economic depression was worse than the 1930s Great Depression. Real GDP per capita fell by around 20 per cent over the 1890s, compared with a fall of only about 10 per cent over the 1930s. Unlike America, Australia’s banking system largely remained intact during the 1930s. In part, that is because Australian banks remembered the catastrophic banking collapse of the 1890s, fuelled by huge credit growth and lax standards, particularly in Victoria. Of the 64 deposit-taking institutions in Australia in 1891, 54 were closed by 1893. A severe drought made economic recover even more difficult.

All forty are interesting, by Andrew Kemp on his very good Australia Substack.

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The Trump administration is pairing top universities with corporate giants in an effort to steer traditional PhD programs toward national scientific priorities.

Today, the White House and National Science Foundation are announcing a $47 million pilot program to fund around 250 four-year doctorates in technical fields, starting this fall. Students in the pilot will be placed at an industry partner, where they will spend at least one year doing “practical research” that can go towards their dissertation. NSF’s investment will fund three years of these PhDs, with 31 universities and 20-plus companies funding the rest.

“About the same amount of basic research is done today in academia as in the private sector,” Michael Kratsios, the director of the White House Office of Science and Technology Policy, told Pirate Wires. “Over time, while the ecosystem has changed and different players have emerged where important scientific work is being done, the institutions which train our next generation of scientists have not really been updated.”

…The pilot represents a small fraction of the more than 45,000 science and engineering doctorates awarded annually — but the administration says it’s a “scalable model” that can expand to more universities and companies.

Here is the full story, I will pass along more details as I learn them.

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