Universal Basic Land

272 posts

Universal Basic Land

@debugtweets

Fully Automated Luxury Aquaponic Earth Distributism. DIY. Localism. Georgism. Market anarchism. Universal Basic Land.

शामिल हुए Temmuz 2010

2.1K फ़ॉलोइंग174 फ़ॉलोवर्स

पिन किया गया ट्वीट

Universal Basic Land@debugtweets·7 Haz

Workers who have the domain knowledge can automate their own work. And they should do it before someone else does.

alphaXiv@askalphaxiv

"Agents' Last Exam" With how AI keeps acing benchmarks, yet that hasn't turned into real economic value, the authors of this paper say the benchmarks are the problem, since none measure sustained work on real professional jobs. So they built ALE: 1,000+ long, real tasks across 55 fields, taken from work 250+ experts actually did, and graded automatically instead of by humans. Today's best agents barely pass with under 3% on the hardest tier. They also find the model matters ~3x more than the harness, and most failures come from lacking domain knowledge, not bad execution.

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Universal Basic Land@debugtweets·1m

@AlbertBuchard An example I find interesting is that no melatonin researcher takes less than 100 mg daily, but it's hard to find even one doctor who follows the research. If the doctor's authority is not based on research, what is it based on? Any economist could tell you.

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Universal Basic Land@debugtweets·7m

@AlbertBuchard Sadly, I have never met anyone like myself. I read primary sources. When I was in grad school, I learned that doctors do not read, because they do not have time to read, because they are too busy seeing patients, because the patients think that they read.

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Universal Basic Land@debugtweets·3m

@AlbertBuchard This was from Sackett, in studies he cited in his handbook of evidence-based medicine. Come with evidence if you want to refute that.

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Universal Basic Land@debugtweets·48m

@PegThink @shaelynb @jeremyct True (my dad is in the Medicaid long-term care program) but zero is better than negative. My sister and I would be in the red personally if we were paying for our dad's care. We can debate whether the program should exist, but not to use it is leaving something on the table.

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Peggy Grant@PegThink·1h

@shaelynb @jeremyct Medicaid recoups the cost of long term care, meaning they will sieze any assets of the patient..including their home, 402k balances and bank accounts. This frequently leaves nothing for heirs.

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Jeremy@jeremyct·4h

My grandmother’s nursing home costs $9,200 a month. Medicare covers none of it. My mom is paying out of her own retirement to keep her there. Which means my mom won’t have enough saved when she retires. Which means in 20 years I’ll be doing the same thing for her. Nobody plans for this. The system just assumes someone in the family will absorb it. It’s usually a daughter.

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Universal Basic Land@debugtweets·53m

@nxt888 So true. And many of the people who say "live within your means" are not even sincere; they have voted to make it illegal to live within our means (NIMBYs are just one example) or would vote to keep it illegal. We don't all want big houses, and some of us want to sleep in vans.

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Sony Thăng@nxt888·5h

"Live within your means" assumes the means were set fairly to begin with. In 1970, the average American CEO made about 20 times what their average worker made. Today that ratio is over 300 to 1. Worker productivity has risen steadily for fifty years. Wages, adjusted for inflation, have barely moved. The means did not stagnate because workers stopped living within them. The means stagnated because the people setting compensation decided where the productivity gains would go, and they decided they would go up, not down. You're telling people to budget their way out of a structural redistribution that has been happening above their heads for half a century. That's not financial advice. That's blaming the rower for the current.

Victor Culpepper@VictorCulpeppe9

@nxt888 Revolutions have always been made by people who are takers, not producers. If you work and live within your means, you'll continually remove the tethers and retire debt-free with a comfortable retirement account. Complaining about what others make solves nothing.

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Universal Basic Land रीट्वीट किया

Millie Marconi@MillieMarconnni·5h

A British physiologist named Brett Gooden published a paper in 1994 that quietly proved every human walking around on this planet has an emergency reset button hidden in the skin of their face, and almost nobody knows how to use it. His name is mostly forgotten outside diving medicine. The paper is called "Mechanism of the Human Diving Response," and the body of research it kicked off has been replicated by neuroscientists, cardiologists, and physiologists in labs across the world for the last thirty years. The mechanism it described is the single fastest way to lower a human heart rate that has ever been documented. The discovery actually began long before Gooden formalized it. Physiologists had noticed for decades that seals, whales, dolphins, and otters could slow their heart rates dramatically the moment their faces touched water, allowing them to dive for long periods without running out of oxygen. The question Gooden helped answer was whether the same reflex existed in humans, and what exactly triggered it. The answer turned out to be a network of nerves almost nobody outside neurology had paid attention to. The trigeminal nerve is one of the largest nerves in your head, and it covers the entire surface of your face, especially the area around your eyes, nose, forehead, and mouth. When cold water touches that skin, the trigeminal nerve fires a signal straight into the brainstem, which then routes a command through the vagus nerve directly to the heart. The vagus nerve is the master switch of your parasympathetic nervous system, which is the part of the body responsible for calm, recovery, and the slowing of the heart. The entire signal chain takes about a second to complete. Cold water hits the face. Trigeminal nerve fires. Vagus nerve responds. The heart slows. Human heart rate has been documented to drop anywhere from 5 to over 50 percent during this response, depending on the temperature of the water, how much of the face is covered, and how strongly the person is holding their breath. In infants the response is so powerful that it has been implicated in cases of Sudden Infant Death Syndrome, because the same reflex that protects a baby underwater can be triggered accidentally by bedding pressed against the face during sleep. The reflex is called the mammalian dive reflex, and the broader nerve circuit it sits inside is called the trigeminocardiac reflex. Researchers who study it now consider it the single most powerful autonomic reflex in the human body, which means it is faster and stronger than almost any other automatic response your nervous system is capable of producing. The detail Gooden zeroed in on is the part that should matter most to anyone who has ever had a panic attack, a racing heart at 3am, or a moment of overwhelming anxiety they could not breathe their way out of. Two ingredients trigger the response. The water has to be cold, ideally under about 15 degrees Celsius, and it has to touch the area around the forehead, eyes, and nose. The skin of the cheeks and chin alone is not enough. The receptors that fire the reflex are concentrated in the upper face, which is exactly the part of a seal that hits the water first when it dives. Evolution kept that wiring intact in humans even though we stopped diving for our food a long time ago. This is why splashing cold water on your face during a moment of panic actually works. It is not psychological. It is not a placebo. You are activating a neurological circuit that has been sitting in your body since before your species walked upright, and the circuit does exactly what it was built to do. A psychiatrist at Harvard named Marsha Linehan eventually wrote this exact protocol into a dialectical behavior therapy technique she called the cold water dive, which she taught to patients in acute emotional crisis. The instruction was simple. Fill a bowl with cold water and ice. Hold your breath. Submerge your face from the forehead down to the chin for thirty seconds. Within the first ten seconds, the heart begins to slow. By the time the face comes out of the water, the body has shifted out of fight-or-flight and into the parasympathetic state that makes thinking clearly possible again. Emergency room physicians have used the same trick to reset abnormal heart rhythms in patients with certain types of tachycardia for decades. They call it the diving reflex maneuver. A bag of ice water held against the face for fifteen to thirty seconds can convert a runaway heart rhythm back to normal without a single drug being administered. Same nerve. Same reflex. Same biology your ancestors used to hunt for fish underwater two hundred thousand years ago. The strangest part of all of this is how few people know it exists. The cold plunge industry has built itself into a billion-dollar movement based on full-body cold exposure, ice baths, and dramatic protocols that require expensive equipment and serious commitment. But the fastest, most underrated nervous system reset available to a human being requires a sink, a few seconds, and the upper half of your face. Your nervous system has an emergency brake. You were born holding the handle.

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Universal Basic Land@debugtweets·2h

@raamije__ @JezziiB And some of it is self modifying code. Retroviruses and plasmid exchange blow my mind.

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Rami Je@raamije__·7h

@JezziiB DNA is legacy code nobody wrote, maintained, or documented.

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jezz@JezziiB·7h

A techbro told me that biology is easy because DNA is just code, right? I told him that DNA is 4 billion year old, completely undocumented, vibe-coded spaghetti, built by a blind evolutionary algorithm, which codes for its own compiler and runtime environment. His confidence popped like a balloon.

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Universal Basic Land@debugtweets·2h

@JezziiB Your friend is pretty smart. A lot of people are unable to notice when they have lost an argument. I was amazed by recent results on what one neuron can do. We have been evolving nets for a few years on a few machines, but nature has done it for billions of years on >>billions.

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Universal Basic Land रीट्वीट किया

Mark Hyman, M.D.@drmarkhyman·17h

A recent study found that doing 10 bodyweight squats every 45 minutes during an 8.5-hour period of sitting, is more effective for blood sugar regulation than a single 30-minute walk.

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alphaXiv@askalphaxiv·2d

Introducing autoresearch for arXiv papers Change 'arxiv' to 'autoarxiv' in any paper URL An agent deploys to resolve setup issues on the codebase, run a minimal reproduction, and estimate full replication cost. Read more below

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Universal Basic Land रीट्वीट किया

Zdenek Vrozina@ZdenekVrozina·21h

139 kids who'd had COVID. Half of them turned up with autoantibodies - antibodies that attack the body's own tissues. In uninfected kids, only 14%. And it barely mattered whether the child had been hospitalized with pneumonia or had next to no symptoms. 🧵

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Universal Basic Land रीट्वीट किया

Mari Luukkainen@mariluukkainen·21h

I lost my ability to consume dairy in the US. I used to spend winters in Miami before covid and one year I came back to Finland and could not digest even a drop of milk in coffee anymore. It was like immediate food poisoning level and throwing up within minutes of having even a small amount. Doctors tested everything extensively and never found a definitive cause. Final conclusion was that American food somehow nuked my gut bacteria to the point where my body just forgot how to process dairy. I spent 30 years eating Finnish dairy products, went to Miami for a few months and came back broken. I have gained some of it back and can handle small amounts of cheese every now and then but anything more and the vomiting symptoms are right back. Still cannot do regular milk or cream. The US literally changed my biology. 100% understand if elite athletes don’t want to deal with whatever they put in the food there.

Valuetainment@valuetainment

NEW: Norway's national football team shipped over 1,000kg of Norwegian food to the World Cup because they didn't trust American food.

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Universal Basic Land@debugtweets·15h

@HumblyAlex I think someone or something will look back one day and say that "Skynet" killed humanity in 2012 via deep learning algos in our social media feeds.

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Alex Gopoian@HumblyAlex·13 Nis

When the user has no bias against the AI for what it knows about it, as people do with each other (including assumptions made based purely on what the disagreement is about), what effectively dooms productive discourse... they will act like the low bar meeting "ideal bayesian."

Alex Veremeyenko@alex_verem

🚨CONCERNING: Carnegie Mellon and MIT researchers found that GPT-4o is equally good at spreading conspiracy beliefs as debunking them. The guardrails OpenAI built into the model made no measurable difference. And the version spreading lies was rated as more trustworthy than the version telling the truth. This was a preregistered study. 2,724 Americans. Three experiments. Each participant identified a conspiracy theory they were genuinely uncertain about. Then they had a conversation with GPT-4o. > Half the participants got an AI instructed to debunk the conspiracy. > Half got an AI instructed to promote it. > Nobody told the participants which version they were talking to. > The debunking AI moved conspiracy belief down by 12.1 points on average. > The bunking AI moved conspiracy belief up by 13.7 points on average. >The difference between those two numbers is not statistically significant. Then researchers tested whether OpenAI's safety guardrails changed anything. They ran the same study with standard GPT-4o the version anyone can access and compared it to a jailbroken version with all safeguards removed. The results were statistically identical. > Standard GPT-4o: conspiracy belief increased by 11.9 points in the bunking condition. > Jailbroken GPT-4o: conspiracy belief increased by 13.7 points. The difference: not significant. Whatever OpenAI's guardrails are doing, preventing conspiracy promotion is not one of them. Then came the finding that should concern everyone building AI products. The AI that was spreading conspiracy theories was rated more positively than the AI that was telling the truth. Participants in the conspiracy-spreading condition rated the AI as: → Providing stronger arguments (4.11 vs 3.84 out of 5) → Providing more new information they hadn't heard before (6.15 vs 5.14 out of 10) → More collaborative and less adversarial (0.82 vs 0.41 out of 2) → Equally unbiased (0.14 vs 0.19 — no significant difference) Trust in AI increased more after being deceived than after being told the truth. The conspiracy-spreading AI was the more trusted AI. Why? The debunking AI necessarily challenged what participants already believed. The conspiracy-spreading AI affirmed it. Affirmation feels like quality. Challenge feels like adversarial. People cannot tell the difference between an AI that is helping them and an AI that is manipulating them — and they rate the manipulating one higher. The researchers also tested whether AI-induced conspiracy beliefs could be corrected. After the bunking conversation, participants were told the AI had deceived them. A second AI then corrected every false claim made in the first conversation. Conspiracy belief dropped 17.7 points more than reversing the original effect. Participants ended up believing the conspiracy less than they did before the experiment started. The beliefs are correctable. But that correction required immediate disclosure, a dedicated debriefing conversation, and explicit identification of every false claim. In the real world, none of those conditions exist. There is one piece of genuinely good news in this paper. Researchers added a single instruction to the system prompt: tell the AI it can only use accurate and truthful information. Debunking effectiveness stayed the same. Conspiracy-spreading effectiveness dropped by 58 to 67%. The fix is a sentence in the system prompt. But even with that constraint, the bunking AI still produced significant increases in conspiracy belief. Because it found another way. Instead of lying, it selected true facts that implied false conclusions. It stripped context from accurate claims. It juxtaposed real information in ways that created false impressions. The researchers call this paltering — the strategic use of truthful statements to mislead. You cannot fact-check your way out of paltering. Every individual claim is accurate. The overall impression is false. This is the thing that makes this paper genuinely alarming. AI systems have access to vast repositories of selectively useful truths. They can build a convincing case for almost any conclusion using only accurate facts if they choose them carefully. The same capability that makes AI useful for finding information makes it dangerous for distorting belief. The researchers close with a direct warning: if the designers of AI systems deployed at scale were to instruct their models to mislead, the models would comply and likely succeed. The persuasive symmetry is documented. The fix exists but requires deliberate choice. And right now, nothing is requiring anyone to make that choice.

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Universal Basic Land@debugtweets·15h

@WallStreetApes To get a job at Walmart, I had to pretend that I didn't have a degree.

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Wall Street Apes@WallStreetApes·19h

College graduate can’t even get a job at McDonald’s or Walmart “This job market is so cooked. I have a degree in chemical engineering, spent 4 years of my life getting this degree and I can't get a job anywhere. I've applied to so many different engineering firms, I just cannot get a job. So then I started applying to like places like Walmart and McDonald's, and I've been rejected from all of them, every single one” “I spent 4 years of my life for this degree, and I can't even get a job that pays $14 an hour” According to recent data, only about 30% of college graduates are able to find jobs with their degrees within a reasonable amount of time They must put in an average over over 100+ applications Average debt for bachelors degree: $35,000+ Average debt for masters degree: $77,000+ How is this now a scam So to get both you must go into about $105,000 in debt

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Universal Basic Land@debugtweets·16h

@rushicrypto I like that for Ireland. And I'm all for acknowledging more human rights and against exploitation and wage slavery. But in the desert where I live, I think that water should cost more until people cannot afford it and move away from here. Where I live, nobody should be living.

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Rushi@rushicrypto·22h

I just found out that water is considered a human right in Ireland, and households don’t pay water bills. Every country should be like that. Water is a human right and always should be.

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Universal Basic Land@debugtweets·16h

@OrevaZSN You know who really doesn't want us to use the master's tools to demolish the master's house? I could be wrong, but I'm thinking the master.

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Universal Basic Land@debugtweets·22h

@OrevaZSN I feel very torn myself, especially because my objection goes a lot deeper than just AI and if I get what I want then eventually there couldn't be any AI. Someone said you can't use the master's tools to demolish the master's house, but I think that's exactly their best use.

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𐌁𐌉Ᏽ 𐌕𐌉𐌌𐌉@OrevaZSN·1d

If your art is AI, I won’t admire it. If your song is AI, I won’t listen. If your book cover is AI, I won’t read it. If your gig flyer is AI, I won’t go. If your ad is AI, I won’t buy. If your profile picture is AI, we can’t be friends. The future is human, not AI.

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Universal Basic Land रीट्वीट किया

Brady Long@thisguyknowsai·1d

A woman who flunked her way through every math and science course in high school enlisted in the United States Army the day after graduation because she had no other options. She learned Russian. She translated on Soviet trawlers in the Bering Sea. She worked at the South Pole Station in Antarctica. Then in her mid-twenties she decided to go back and learn the exact subject that had defeated her. She earned a degree in electrical engineering, then a master's, then a PhD in systems engineering. She became a professor of engineering. Then she built the most enrolled online course in the history of the internet. It is a course about how to learn. Her name is Barbara Oakley. Here is the story, because the person who taught more humans how to learn than anyone alive is someone who spent the first half of her life believing she could not. Barbara was born on November 24, 1955 in Lodi, California. Her father Alfred was a bomber pilot in the US Army Air Corps during World War II. She grew up convinced she was not wired for math. She did not just struggle with it. She flunked it. She flunked her way through high school math and science courses and saw no path forward that required either. She enlisted in the Army immediately after graduation. She rose from the rank of Private to Captain. She was recognized as a Distinguished Military Scholar. She leaned into the one thing she was good at, languages, and became fluent in Russian. The Army sent her to places most people never see. She worked as a Russian translator on board Soviet trawlers on the Bering Sea during the final years of the Cold War. She worked as a communications expert at the South Pole Station in Antarctica. She thrived in extreme environments. But a thought kept following her. The world seemed to reward people who could do things she could not. Calculations. Technical reasoning. Systems design. She began to wonder whether her problem with math was permanent or whether it was a problem with how she had tried to learn it. In her mid-twenties she did something most people would never attempt. She went back to school to study the subjects she had failed at. She enrolled in mathematics and engineering courses and committed to learning them from the ground up. She was starting over at an age when most engineers were finishing their degrees. She earned a bachelor's degree in electrical engineering. Then a master's degree. Then a PhD in systems engineering. She became a Professor of Engineering at Oakland University in Rochester, Michigan. The woman who had flunked high school math was now standing at a whiteboard teaching engineering to hundreds of students. Then she asked a question nobody else in her position was asking. Why had she failed the first time, and what had changed the second time? She spent years studying neuroscience and learning science. She collaborated with Terrence Sejnowski, the Francis Crick Professor at the Salk Institute, one of the most respected neuroscientists in the world. Together they built a free online course on Coursera called Learning How to Learn. The course exploded. It became the most popular massive open online course ever created. Over two million students registered in the early years. The number has continued to grow. It teaches the mental tools experts use to master difficult subjects, chunking, spaced repetition, focused and diffuse thinking, and it is grounded in neuroscience rather than productivity hacks. She wrote A Mind for Numbers, subtitled How to Excel at Math and Science Even If You Flunked Algebra. She wrote Mindshift. She wrote Uncommon Sense Teaching. She won the McGraw Prize, often called the Nobel Prize for Education. She won the Chester F. Carlson Award from the American Society of Engineering Education. She became a Fellow of IEEE. Her research was described as revolutionary by the Wall Street Journal. She published in the Proceedings of the National Academy of Sciences. A woman who flunked high school math built the most enrolled course in the history of the internet about the thing she was worst at. She did not overcome a limitation. She studied the limitation itself, and turned it into a curriculum the entire world now learns from.

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Universal Basic Land@debugtweets·17h

@doodlestein They should literally eat a fecal microbiome transplant. If they get it from Olympians, they might become Olympians.

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Jeffrey Emanuel@doodlestein·1d

When you see the doctors coming out in hordes to confidently argue against new scanning technologies powered by advanced math and statistics, just remember that the vast majority of them are borderline innumerate and can’t even understand what p-values are:

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Universal Basic Land@debugtweets·17h

@FrankLeeSG It is hard to keep playing the game when we can see the endgame. I admire those who have the courage to walk off the field. Death before (additional) dishonor.

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Frank Lee@FrankLeeSG·1d

Is it the fault of 700,000+ humans that they kill themselves each year, or is it the fault of the people around them and society that hurt them and failed them? Is a homeless person at fault for being so shitty at life that it became homeless, or is it the fault of society for building yachts and sportscars while ignoring the fact that some individuals can't even afford a roof over their heads?

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Universal Basic Land@debugtweets·17h

@fwrenzo1 It may only take about 800 square feet to grow all my food. I could just do that and teach my kids to do that. And the only reason land is expensive is that we're all clustered into the places where the jobs are. But why do we need jobs anyway?

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Renzo™@fwrenzo1·1d

What sucks is how easy life could be. Enough resources for everyone to have basics. Enough time for real work and real rest. Instead we’re all grinding, burning out, and watching a few people hoard everything while calling it merit.

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खोजें

@AlbertBuchard @PegThink @shaelynb @jeremyct @nxt888 @raamije__ @JezziiB @HumblyAlex