sadly, these are not policies! they are editorials making arguments for why smaller government would be a good idea, and why certain tactics are worth consideration (like sunset provisions). zero object-level deregulation policy work (i.e. identifying which regulations to cut and who can cut them) has been done here. I am beginning to see why people complain about think tanks not actually dOiNg PoLicY.
https://www.perplexity.ai/search/what-are-vortex-crystals-zhsBX93zTdOxMh5sg3nWAw#3 Perplexity explains superfluids; they are frictionless, have extremely high thermal conductivity, and exhibit “quantized vortices”, where the speed of the spinning fluid is an integer multiple of a constant and the vortex can keep spinning literally forever. Liquid helium is a superfluid. This has been known since 1937!
https://www.sympatheticopposition.com/p/risk-averse-women-rarely-birth-royalty Matthew’s genealogy of Jesus notes four Biblical women—Tamar, Rahab, Ruth, and Bathsheba—who took sexual risks to secure their children’s legacy. I love this piece and think we talk too little about the fact that women take calculated risks sexually. To live a good life, you have to risk intimacy and decide when to bet that it won’t put you in danger or ruin your future. That’s true in both ancient societies and today, though of course the risk landscape is very different.
https://www.econlib.org/archives/2011/01/the_stranger.html I like this old Bryan Caplan post on what we owe strangers. Common sense ethics says we should not aggress upon strangers but we don’t usually owe them much positive help; yet this is a radical and uncommon position in politics.
https://arxiv.org/pdf/2412.16075 a case for formal verification + AI hybrid systems in mathematics, and a roadmap for future progress, by leading AI-for-math researchers Kaiyu Yang, Gabriel Poesia, Jingxuan He, Wenda Li, Kristin Lauter, Swarat Chaudhuri, and Dawn Song. Excellent, detailed, this is the survey paper to reference for the next while!
countries that make long-range drones (basically unmanned planes): USA, UK, France, China, Turkey, Russia
https://www.construction-physics.com/p/morris-chang-and-the-origins-of-tsmc TSMC founder Morris Chang’s autobiography; lots of false starts along the way. TSMC’s big innovation was being the world’s first foundry. They did not start with the latest and best equipment; but they were the first to offer semiconductor manufacturing as a service, and Asian semi manufacturers were already more reliable at quality than US ones (going back to the 60′s! wonder what’s up with that.)
surprising-to-me claim that there’s no crime (Chinese friend claims much the opposite!)
“The biggest surprise from talking to Chinese VCs people at AI labs was how capital constrained they felt.”
https://en.m.wikipedia.org/wiki/The_Lighthouse_in_Economics back in 1974 Ronald Coase pointed out that lighthouses, long a prototypical example of a public good, were actually privately provided in England during the 17th-19thc. Critics said they went out of business, which proved the market couldn’t actually incentivize lighthouse production; Coase replied that the British government made a policy choice to take over the lighthouse industry.
if self-interested people are negotiating (say, dividing up a pie), obviously everybody will want the most for themselves; but we also have an interest in eventually settling the negotiation, saving ourselves time and effort (and gaining safety, if the “negotiation” is violent).
If one arrangement stands out as “natural” or unique, it can be a Schelling point for where to stop negotiating and accept the arrangement. “Push back if they ask for more than the Schelling point, acquiesce if they ask for no more than the Schelling point” is a stable strategy. (analogous to “contrite Tit for Tat” which performs very well in evolutionary game theory experiments, though Friedman doesn’t mention that.)
the status quo ante always makes a great Schelling point; laws, contracts, and other common-knowledge establishment of who has a right to what, can become stably self-enforcing even without a formal enforcement mechanism. (eg there is no world government but national borders are usually respected.)
the fact that people can, empirically, control their own bodies much more easily than other people’s bodies, and can better defend property they can hide and territory they live in, than objects and land not literally in their current possession, also makes concepts like self-ownership and property ownership “natural” Schelling points.
though of course the exact boundaries of how property rights work are not given a priori and different societies can define them differently.
https://zhengdongwang.com/2024/12/29/2024-letter.html “The model does the eval”: as soon as we come up with an evaluation for an AI capability and a dataset to train on, human ingenuity will find ways to make the AI hit the benchmark. If it’s not model scaling, it’ll be inference-time compute, or mixture-of-experts, or something else.
AI progress, like Moore’s Law progress, isn’t due to a single technological innovation. Once an industry has a moving quantitative target and a strong economic incentive (and social expectation) to keep hitting that moving target, it’ll develop multiple technologies with overlapping S-curves that keep improving performance, potentially for a very long time.
https://trevorklee.com/want-to-reverse-aging-try-reversing-graying-first/ Trevor Klee on reversing gray hair. There are isolated case studies of people whose gray hair has regained pigmentation; lots of these are associated with the use of immunosuppressants, which suggests that something in the aged immune system may be attacking the melanocytes (or their precursors) which produce hair pigmentation.
https://asteriskmag.com/issues/08/the-biggest-community-development-program-youve-never-heard-of Clara Collier looks into the history of a giant attempt to improve India’s agricultural productivity in the 1950′s-60′s, by letting village leaders ask for what their village needs most, while the org would provide technological know-how to solve their problems. It worked great when founder Albert Mayer was running it; not so much when the Indian government tried to scale up nationally. Mostly because of common scale-up issues: difficulty finding talented staff, too big for the founder to personally go to all the villages and fix problems, etc.
today, global development experts would consider relying on village “leaders” to be an inherently biased approach; these would invariably be male, high-caste, and relatively rich, and the rest of the village wouldn’t necessarily buy into what they proposed.
despite this flaw, it worked fine in the pilot, because while Mayer didn’t have modern egalitarian language to describe it, he was de facto insisting that village discussions included all sorts of people. But when he was no longer micromanaging the program and using his own elbow grease to fix problems, the explicit/formal protocol of the program naturally devolved into “only village elites get a say” and villages indeed failed to follow through on the proposed reforms/improvements.
links 1/2/25: https://roamresearch.com/#/app/srcpublic/page/01-02-2025
https://reason.com/2024/11/14/abolish-the-small-business-administration/ the case for abolishing the Small Business Administration, which subsidizes small businesses
https://www.mercatus.org/doge the Mercatus center’s wishlist for DOGE on budget cuts and deregulation
sadly, these are not policies! they are editorials making arguments for why smaller government would be a good idea, and why certain tactics are worth consideration (like sunset provisions). zero object-level deregulation policy work (i.e. identifying which regulations to cut and who can cut them) has been done here. I am beginning to see why people complain about think tanks not actually dOiNg PoLicY.
https://www.perplexity.ai/search/what-are-vortex-crystals-zhsBX93zTdOxMh5sg3nWAw#3 Perplexity explains superfluids; they are frictionless, have extremely high thermal conductivity, and exhibit “quantized vortices”, where the speed of the spinning fluid is an integer multiple of a constant and the vortex can keep spinning literally forever. Liquid helium is a superfluid. This has been known since 1937!
https://en.wikipedia.org/wiki/Superfluidity
https://www.science.org/doi/10.1126/science.adn5694 a passively radiative aerogel that reflects >100% of solar radiation through fluorescence and phosphorescence
https://www.nature.com/articles/s41467-021-26050-z 0.5% of European GDP reduced by heat waves in the 21st century
https://www.nbcnews.com/news/us-news/new-orleans-killed-mass-casualty-bourbon-street-car-crowd-rcna185914 “Texas man kills 14 on New Orleans’ Bourbon Street after driving truck with ISIS flag through crowd.” Police believe he did not act alone.
https://en.m.wikipedia.org/w/index.php?title=Shotgun_cartridge A shotgun cartridge is filled with tiny little metal balls called shot, or a single projectile called a slug. Smaller shot goes farther than bigger shot, and slugs go farther still.
https://en.m.wikipedia.org/wiki/Can_You_Ever_Forgive_Me movie (I haven’t seen it but saw it recommended) about a woman who forged letters from dead celebrities
https://www.sympatheticopposition.com/p/risk-averse-women-rarely-birth-royalty Matthew’s genealogy of Jesus notes four Biblical women—Tamar, Rahab, Ruth, and Bathsheba—who took sexual risks to secure their children’s legacy. I love this piece and think we talk too little about the fact that women take calculated risks sexually. To live a good life, you have to risk intimacy and decide when to bet that it won’t put you in danger or ruin your future. That’s true in both ancient societies and today, though of course the risk landscape is very different.
https://www.econlib.org/archives/2011/01/the_stranger.html I like this old Bryan Caplan post on what we owe strangers. Common sense ethics says we should not aggress upon strangers but we don’t usually owe them much positive help; yet this is a radical and uncommon position in politics.
https://arxiv.org/pdf/2412.16075 a case for formal verification + AI hybrid systems in mathematics, and a roadmap for future progress, by leading AI-for-math researchers Kaiyu Yang, Gabriel Poesia, Jingxuan He, Wenda Li, Kristin Lauter, Swarat Chaudhuri, and Dawn Song. Excellent, detailed, this is the survey paper to reference for the next while!
https://marginalrevolution.com/marginalrevolution/2025/01/africa-facts-of-the-day.html “Africa is now experiencing more conflicts than at any point since at least 1946”. Prediction: more immigration from African countries.
what are the current military drones models?
https://www.aerotime.aero/articles/25712-worlds-best-military-drones
https://www.ssbcrack.com/2024/06/top-military-drones.html
https://inphoenixaviation.com/top-10-military-drones-ruling-the-skies-in-2024/
countries that make long-range drones (basically unmanned planes): USA, UK, France, China, Turkey, Russia
https://www.construction-physics.com/p/morris-chang-and-the-origins-of-tsmc TSMC founder Morris Chang’s autobiography; lots of false starts along the way. TSMC’s big innovation was being the world’s first foundry. They did not start with the latest and best equipment; but they were the first to offer semiconductor manufacturing as a service, and Asian semi manufacturers were already more reliable at quality than US ones (going back to the 60′s! wonder what’s up with that.)
https://www.dwarkeshpatel.com/p/notes-on-china Dwarkesh Patel visits China.
surprising-to-me claim that there’s no crime (Chinese friend claims much the opposite!)
“The biggest surprise from talking to Chinese VCs people at AI labs was how capital constrained they felt.”
https://en.m.wikipedia.org/wiki/The_Lighthouse_in_Economics back in 1974 Ronald Coase pointed out that lighthouses, long a prototypical example of a public good, were actually privately provided in England during the 17th-19thc. Critics said they went out of business, which proved the market couldn’t actually incentivize lighthouse production; Coase replied that the British government made a policy choice to take over the lighthouse industry.
http://www.daviddfriedman.com/Academic/Property/Property.html David Friedman argues that property rights come to be as a result of Schelling points.
if self-interested people are negotiating (say, dividing up a pie), obviously everybody will want the most for themselves; but we also have an interest in eventually settling the negotiation, saving ourselves time and effort (and gaining safety, if the “negotiation” is violent).
If one arrangement stands out as “natural” or unique, it can be a Schelling point for where to stop negotiating and accept the arrangement. “Push back if they ask for more than the Schelling point, acquiesce if they ask for no more than the Schelling point” is a stable strategy. (analogous to “contrite Tit for Tat” which performs very well in evolutionary game theory experiments, though Friedman doesn’t mention that.)
the status quo ante always makes a great Schelling point; laws, contracts, and other common-knowledge establishment of who has a right to what, can become stably self-enforcing even without a formal enforcement mechanism. (eg there is no world government but national borders are usually respected.)
the fact that people can, empirically, control their own bodies much more easily than other people’s bodies, and can better defend property they can hide and territory they live in, than objects and land not literally in their current possession, also makes concepts like self-ownership and property ownership “natural” Schelling points.
though of course the exact boundaries of how property rights work are not given a priori and different societies can define them differently.
https://sense-nets.xyz/ proposals for better science social media networks
https://marginalrevolution.com/marginalrevolution/2024/12/the-cows-in-the-coal-mine.html are we neglecting H5N1?
https://www.noahpinion.blog/p/why-japan-opened-itself-up-to-immigration Noah Smith argues that Japan tried being ethnically homogeneous, found it couldn’t (due to labor shortages), and has allowed big increases in immigration, with the approval of most Japanese voters.
https://zhengdongwang.com/2024/12/29/2024-letter.html “The model does the eval”: as soon as we come up with an evaluation for an AI capability and a dataset to train on, human ingenuity will find ways to make the AI hit the benchmark. If it’s not model scaling, it’ll be inference-time compute, or mixture-of-experts, or something else.
AI progress, like Moore’s Law progress, isn’t due to a single technological innovation. Once an industry has a moving quantitative target and a strong economic incentive (and social expectation) to keep hitting that moving target, it’ll develop multiple technologies with overlapping S-curves that keep improving performance, potentially for a very long time.
https://ontheones.wordpress.com/2019/06/29/on-denpa-a-guest-article-by-kenji-the-engi/ Denpa, the anime genre that Neon Genesis Evangelion was from, was prevalent in the 1990′s and early 2000′s; these were disturbing, experimental meditations on the theme of social misfits who retreated from reality.
https://www.lesswrong.com/posts/KSguJeuyuKCMq7haq/is-vnm-agent-one-of-several-options-for-what-minds-can-grow [[Anna Salamon]] asks if “utility optimizers” are what all sufficiently “smart” minds will end up being, or if there are other options
https://trevorklee.com/want-to-reverse-aging-try-reversing-graying-first/ Trevor Klee on reversing gray hair. There are isolated case studies of people whose gray hair has regained pigmentation; lots of these are associated with the use of immunosuppressants, which suggests that something in the aged immune system may be attacking the melanocytes (or their precursors) which produce hair pigmentation.
https://pmc.ncbi.nlm.nih.gov/articles/PMC10461778/ Can you make an organoid of hairy skin? Yes you can!
https://asteriskmag.com/issues/08/the-biggest-community-development-program-youve-never-heard-of Clara Collier looks into the history of a giant attempt to improve India’s agricultural productivity in the 1950′s-60′s, by letting village leaders ask for what their village needs most, while the org would provide technological know-how to solve their problems. It worked great when founder Albert Mayer was running it; not so much when the Indian government tried to scale up nationally. Mostly because of common scale-up issues: difficulty finding talented staff, too big for the founder to personally go to all the villages and fix problems, etc.
today, global development experts would consider relying on village “leaders” to be an inherently biased approach; these would invariably be male, high-caste, and relatively rich, and the rest of the village wouldn’t necessarily buy into what they proposed.
despite this flaw, it worked fine in the pilot, because while Mayer didn’t have modern egalitarian language to describe it, he was de facto insisting that village discussions included all sorts of people. But when he was no longer micromanaging the program and using his own elbow grease to fix problems, the explicit/formal protocol of the program naturally devolved into “only village elites get a say” and villages indeed failed to follow through on the proposed reforms/improvements.