Recent well liked threads
In 2019, MIT professor Patrick Winston gave a legendary 1-hour lecture called “How to Speak.”
It has 18M+ views for a reason.
His frameworks:
• Your ideas are like your children
• The 5-minute rule for job talks
• Why jokes fail at the start
15 lessons on communication:
It has 18M+ views for a reason.
His frameworks:
• Your ideas are like your children
• The 5-minute rule for job talks
• Why jokes fail at the start
15 lessons on communication:
1. Your success is determined by speaking, writing, then ideas in that order
"There ought to be a protection for students because they shouldn't go out into life without the ability to communicate."
"Your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas in that order."
"There ought to be a protection for students because they shouldn't go out into life without the ability to communicate."
"Your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas in that order."
2. Knowledge and practice matter far more than talent
"I was skiing at Sun Valley. Mary Lou Retton Olympic gymnast, perfect 10s was a novice at skiing."
"I was a better skier than she was. And she's an outstanding Olympic athlete."
"I had the knowledge and the practice. All she had was the talent. You can get a lot better than people with inherent talents if you have the right knowledge."
"I was skiing at Sun Valley. Mary Lou Retton Olympic gymnast, perfect 10s was a novice at skiing."
"I was a better skier than she was. And she's an outstanding Olympic athlete."
"I had the knowledge and the practice. All she had was the talent. You can get a lot better than people with inherent talents if you have the right knowledge."
This thread is about how Kenya got to start talking about getting nuclear energy.
This is also a direct reply to Ferdinand Omondi who has been peddling misinformation about nuclear energy.
This is also a direct reply to Ferdinand Omondi who has been peddling misinformation about nuclear energy.
I have been following the Kenya power sector developments for some decades especially after I somehow got involved in the Rabai power plant construction & subsequent talks with TZ about gas. I have also made many trips to Germany on energy tours.
To be clear, I am not a paid blogger or a government stan. I just hate people spreading misinformation especially when it is historical and verifiable facts!
Over 30 years, 1.3 million American women were told they had breast cancer when they didn't.
They still went through chemo, mastectomies, and radiation. Why does the system allow this to happen?
I dug into why. The answer, as always, is money: (1/11)
They still went through chemo, mastectomies, and radiation. Why does the system allow this to happen?
I dug into why. The answer, as always, is money: (1/11)
Most of these cases involved DCIS, abnormal cells confined to breast ducts.
Called "Stage 0 cancer," DCIS represented under 5% of diagnoses before mammograms were common. Now it accounts for 20–25%.
Screening essentially created a new category of patient.
Called "Stage 0 cancer," DCIS represented under 5% of diagnoses before mammograms were common. Now it accounts for 20–25%.
Screening essentially created a new category of patient.
Research shows many DCIS cases never become invasive.
The cells just sit there and never cause harm. But once you have the label, the machine starts moving: biopsies, surgery, and radiation.
Monitoring a patient doesn't pay the bills; treatment does.
The cells just sit there and never cause harm. But once you have the label, the machine starts moving: biopsies, surgery, and radiation.
Monitoring a patient doesn't pay the bills; treatment does.
There are 1581 reported russian Airstrikes in 2026, 550 in March.
Huge concentration at Huliapole, with cluster in each more or less significant settlement.
russia is unmatched in firepower but that doesn't help them.
Data from @AndrewPerpetua map.
Huge concentration at Huliapole, with cluster in each more or less significant settlement.
russia is unmatched in firepower but that doesn't help them.
Data from @AndrewPerpetua map.
@AndrewPerpetua Intercepted russian drones.
SBS reported 5300, only 10% were visually reported.
SBS reported 5300, only 10% were visually reported.
Recorder civilian casualties - 518 cases in March.
1/ Thread. Relive the major events of the 2010s online culture war.
White girl cancelled for rant about Asians in the library:
White girl cancelled for rant about Asians in the library:
2/ First slutwalk.
3/ Elevatorgate divides online atheist community.
We don't know exactly how Handala got into Kash Patel's accounts. But from responding to MOIS-linked intrusions: it's rarely a zero-day.
It's credential dumps. Stealer logs. Data sitting in the open for years.
Let me show you what we found. 🧵
It's credential dumps. Stealer logs. Data sitting in the open for years.
Let me show you what we found. 🧵
Searching "Kash Patel" in breach databases gets you nowhere. Lots of noise, mostly anti-us BS.
But his legal name isn't Kash Patel.
Wikipedia: Kashyap Pramod Patel
That's the search that matters.
But his legal name isn't Kash Patel.
Wikipedia: Kashyap Pramod Patel
That's the search that matters.
Run Kashyap Patel across breach databases. First hit: @MGMGrand breach. Name, DOB, email all line up:
My dear front-end developers (and anyone who’s interested in the future of interfaces):
I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow
I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow
Text layout & measurement was the last & biggest bottleneck for unlocking much more interesting UIs, especially in the age of AI
With this solved, no longer do we have to choose between the flashiness of a GL landing page, vs the practicality of a blog article. Demos:
With this solved, no longer do we have to choose between the flashiness of a GL landing page, vs the practicality of a blog article. Demos:
1. Occlusion (virtualization) of hundreds of thousands of text boxes, each with differing height, without DOM measurement, therefore simplifying the visibility check to a single linear cache-less traversal of heights, scrolling & resizing at 120fps chenglou.me/pretext/masonr…
Turut berduka cita untuk TS yang meninggal ..
Karena sudah mulai ada korban lagi dari campak ini mau edukasi tentang campak
Kenapa campak dibilang berbahaya ?
Karena campak = patogen airborne paling menular yang pernah diketahui manusia
Satu orang dengan COVID bisa menularkan ke 2–3 orang
Satu orang dengan cacar air bisa menularkan ke 10 orang
Satu orang dengan campak? DELAPAN BELAS ORANG ❗️❗️
Dan yang lebih menakutkan dari penularannya bukan ruamnya aja
....
Karena sudah mulai ada korban lagi dari campak ini mau edukasi tentang campak
Kenapa campak dibilang berbahaya ?
Karena campak = patogen airborne paling menular yang pernah diketahui manusia
Satu orang dengan COVID bisa menularkan ke 2–3 orang
Satu orang dengan cacar air bisa menularkan ke 10 orang
Satu orang dengan campak? DELAPAN BELAS ORANG ❗️❗️
Dan yang lebih menakutkan dari penularannya bukan ruamnya aja
....
Campak disebabkan oleh Measles morbillivirus dan penularannya ga butuh kontak fisik
Virus bisa melayang di udara hingga 2 jam setelah penderitanya pergi dari ruangan itu
Org yg terinfeksi itu bisa menularkan 4 hari sebelum ruam muncul, artinya penderita tampak sehat, tapi sudah menginfeksi
Imunitas 0% terhadap campak = HAMPIR PASTI TERTULAR kalau terpapar
Virus bisa melayang di udara hingga 2 jam setelah penderitanya pergi dari ruangan itu
Org yg terinfeksi itu bisa menularkan 4 hari sebelum ruam muncul, artinya penderita tampak sehat, tapi sudah menginfeksi
Imunitas 0% terhadap campak = HAMPIR PASTI TERTULAR kalau terpapar
Campak ga hanya menyerang tubuh saat sakit
Setelah sembuh, virus ini menghapus memori imun, sel-sel yang sudah belajar melawan ratusan patogen selama bertahun-tahun
Studi di Science (2019) menunjukkan: campak bisa menghapus 11–73% memori imunologis yang sudah terbentuk
Anak yang sudah divaksin flu, pneumonia, dan sebagainya, perlindungannya bisa terkikis habis
Bukan hanya sakit campak, tapi rentan penyakit lain selama berbulan-bulan setelahnya
Setelah sembuh, virus ini menghapus memori imun, sel-sel yang sudah belajar melawan ratusan patogen selama bertahun-tahun
Studi di Science (2019) menunjukkan: campak bisa menghapus 11–73% memori imunologis yang sudah terbentuk
Anak yang sudah divaksin flu, pneumonia, dan sebagainya, perlindungannya bisa terkikis habis
Bukan hanya sakit campak, tapi rentan penyakit lain selama berbulan-bulan setelahnya
Rubio and Kallas clashed at the G7 over Russia.
Kallas confronted Rubio, asking when the U.S. would get tougher on Moscow.
Rubio snapped back, saying the U.S. is already doing everything it can and telling her to “go ahead” if Europe thinks it can do better - Axios. 1/
Kallas confronted Rubio, asking when the U.S. would get tougher on Moscow.
Rubio snapped back, saying the U.S. is already doing everything it can and telling her to “go ahead” if Europe thinks it can do better - Axios. 1/
Kallas reminded Rubio he had said a year earlier the U.S. would ramp up pressure if Russia blocked peace efforts.
“A year has passed and Russia hasn’t moved. When will your patience run out?” 2/
“A year has passed and Russia hasn’t moved. When will your patience run out?” 2/
Rubio responded that the U.S. is engaging both sides diplomatically and continues to arm Ukraine.
He said Washington is trying to end the war through talks, while still providing intelligence support to Kyiv. 3/
He said Washington is trying to end the war through talks, while still providing intelligence support to Kyiv. 3/
🧵On Oct 7th, Hamas didn’t just invade Israel, major news outlets like the Associated Press, used "journalists" taking part of the attack to “report” live from the “scene.”
A recent court dismissal of a case against AP, essentially shielded media organizations from any terror liability from knowingly hiring terrorists.
A recent court dismissal of a case against AP, essentially shielded media organizations from any terror liability from knowingly hiring terrorists.
Among the freelancers whose real‑time images were published by AP were Gaza‑based photographers such as Hassan Eslaiah, Yousef Masoud, Ali Mahmud, and Hatem Ali, all credited by AP for photos taken during the attack.
Plaintiffs allege that AP continued paying them despite evidence of Hamas ties, including photos of Eslaiah with Sinwar & videos of his participation in the attack. Court filings also show AP had concerns about his affiliations as early as 2018.
1/ Ukraine's drone strikes on the Russian Baltic port of Ust-Luga have prompted a familiar refrain from Russian warbloggers: what air defence doing? One warblogger sees a dire future ahead for Russia in the face of its enemies in the Baltic region. ⬇️
2/ On Telegram, the Russian journalist Yuri Kotenok (writing as 'Voenkor Kotenok') comments:
"The strikes on Ust-Luga are an extremely alarming symptom, or rather, a signal, not only because they are aimed at destroying Russia's global infrastructure."
"The strikes on Ust-Luga are an extremely alarming symptom, or rather, a signal, not only because they are aimed at destroying Russia's global infrastructure."
3/ "Yes, these are extremely large losses and have serious consequences. But the traces of the raids will sooner or later be cleared up, repaired, and perhaps even reinforced and secured.
Claude knows! —>
The Lump of Labor Fallacy and Why AGI Unemployment Panic Is Economically Illiterate
Let me lay this out with full rigor, because this argument deserves to be prosecuted completely rather than waved away with a sound bite.
I. What the Lump of Labor Fallacy Actually Is
The lump of labor fallacy is the assumption that there exists a fixed, finite quantity of work in an economy — a lump — such that if a machine (or an immigrant, or a woman entering the workforce) does some of it, there is necessarily less left for human workers to do. It treats employment as a zero-sum pie.
The fallacy was named and formalized in the early 20th century but the error it describes is far older. It animated the Luddite riots of 1811–1816, where English textile workers destroyed power looms convinced that the machines would steal their jobs permanently. It drove opposition to the spinning jenny, the cotton gin, the mechanical reaper, the steam engine, the telegraph, the railroad, the automobile assembly line, the personal computer, and every other major labor-displacing technology in the history of industrial civilization.
Every single time, the catastrophists were wrong. Not partially wrong. Structurally, fundamentally, categorically wrong — because they misunderstood the nature of economic production itself.
The reason the fixed-pie assumption fails is this: demand is not fixed. Work generates income. Income generates demand for goods and services. Demand for goods and services generates new categories of work. This is an engine, not a reservoir. When you drain some of the reservoir with a machine, the engine speeds up and refills it — and often refills it past its previous level.
II. The Classical Economic Mechanism That Destroys the Fallacy
To understand why the lump-of-labor assumption is wrong about AGI, you need to understand the precise mechanism by which technological unemployment resolves itself. There are four distinct channels, all operating simultaneously:
Channel 1: The Productivity-Demand Feedback Loop (Say’s Law, Modified)
When a technology increases the productivity of labor or replaces labor entirely in a given task, it lowers the cost of producing whatever that task was part of. Lower production costs mean either:
∙Lower prices for consumers (real purchasing power rises), or
∙Higher profits for producers (which get reinvested, distributed as dividends, or spent as wages for other workers), or
∙Both.
Either way, aggregate real income in the economy rises. That additional real income does not evaporate. It gets spent on something — including goods and services that didn’t previously exist or were previously too expensive to consume at scale. That spending creates demand. That demand creates jobs.
This is not a theoretical conjecture. The average American in 1900 spent roughly 43% of their income on food. Today it’s around 10%. Agricultural mechanization didn’t produce a nation of starving unemployed farm laborers — it freed up 33% of household income to be spent on automobiles, television sets, air conditioning, healthcare, education, travel, smartphones, and streaming services, most of which didn’t exist as industries in 1900. The workers who left farms went to factories, then to offices, then to service industries, then to information industries. The economy didn’t run out of work. It metamorphosed.
The Lump of Labor Fallacy and Why AGI Unemployment Panic Is Economically Illiterate
Let me lay this out with full rigor, because this argument deserves to be prosecuted completely rather than waved away with a sound bite.
I. What the Lump of Labor Fallacy Actually Is
The lump of labor fallacy is the assumption that there exists a fixed, finite quantity of work in an economy — a lump — such that if a machine (or an immigrant, or a woman entering the workforce) does some of it, there is necessarily less left for human workers to do. It treats employment as a zero-sum pie.
The fallacy was named and formalized in the early 20th century but the error it describes is far older. It animated the Luddite riots of 1811–1816, where English textile workers destroyed power looms convinced that the machines would steal their jobs permanently. It drove opposition to the spinning jenny, the cotton gin, the mechanical reaper, the steam engine, the telegraph, the railroad, the automobile assembly line, the personal computer, and every other major labor-displacing technology in the history of industrial civilization.
Every single time, the catastrophists were wrong. Not partially wrong. Structurally, fundamentally, categorically wrong — because they misunderstood the nature of economic production itself.
The reason the fixed-pie assumption fails is this: demand is not fixed. Work generates income. Income generates demand for goods and services. Demand for goods and services generates new categories of work. This is an engine, not a reservoir. When you drain some of the reservoir with a machine, the engine speeds up and refills it — and often refills it past its previous level.
II. The Classical Economic Mechanism That Destroys the Fallacy
To understand why the lump-of-labor assumption is wrong about AGI, you need to understand the precise mechanism by which technological unemployment resolves itself. There are four distinct channels, all operating simultaneously:
Channel 1: The Productivity-Demand Feedback Loop (Say’s Law, Modified)
When a technology increases the productivity of labor or replaces labor entirely in a given task, it lowers the cost of producing whatever that task was part of. Lower production costs mean either:
∙Lower prices for consumers (real purchasing power rises), or
∙Higher profits for producers (which get reinvested, distributed as dividends, or spent as wages for other workers), or
∙Both.
Either way, aggregate real income in the economy rises. That additional real income does not evaporate. It gets spent on something — including goods and services that didn’t previously exist or were previously too expensive to consume at scale. That spending creates demand. That demand creates jobs.
This is not a theoretical conjecture. The average American in 1900 spent roughly 43% of their income on food. Today it’s around 10%. Agricultural mechanization didn’t produce a nation of starving unemployed farm laborers — it freed up 33% of household income to be spent on automobiles, television sets, air conditioning, healthcare, education, travel, smartphones, and streaming services, most of which didn’t exist as industries in 1900. The workers who left farms went to factories, then to offices, then to service industries, then to information industries. The economy didn’t run out of work. It metamorphosed.
Channel 2: The Baumol Effect and the Inexhaustibility of Human Want
William Baumol’s “cost disease” is usually discussed as a problem, but it contains within it the answer to why technological unemployment can never be permanent at the macroeconomic level.
Baumol observed that productivity gains are uneven across sectors. Sectors that are easily mechanized (manufacturing, agriculture, data processing) see dramatic productivity increases; sectors that resist mechanization (live performance, personal care, bespoke services, therapy, teaching, craft) do not. As mechanized sectors get cheaper, the relative price of labor-intensive sectors rises, and society allocates more of its spending toward them — not less.
This means technology creates a systematic tilt toward human-intensive services precisely because it succeeds in automating the easily automated stuff. The more AGI automates routine cognitive work, the more valuable — and more in demand — genuine human connection, judgment, creativity, and embodied physical skill become. Not as a consolation prize, but because relative scarcity drives relative price and therefore relative employment.
Channel 3: Comparative Advantage and the Ricardo Insight
David Ricardo’s law of comparative advantage is one of the few truly non-obvious and consistently correct insights in all of economics, and it applies directly here.
Even if AGI becomes absolutely better than humans at every cognitive task — faster, cheaper, more accurate, more creative — it does not follow that humans have no economic role. What matters is comparative advantage: what can humans produce at the lowest opportunity cost relative to AGI?
Ricardo proved this with trade between nations: England should produce cloth and Portugal should produce wine even if Portugal is more productive at both, because specializing in their comparative advantages and trading leaves both better off than autarky. The same logic applies to humans and AGI. If AGI is 10x better at legal reasoning but 1,000x better at data entry, humans should do legal reasoning and let AGI do data entry — even though AGI dominates absolutely at both.
The AGI unemployment catastrophists implicitly assume that comparative advantage can somehow be zero — that there is literally nothing humans can do where the opportunity cost tradeoff favors human labor. This is not just empirically unsupported; it’s almost mathematically impossible given the structure of the argument. As long as human time has any value to humans themselves (which it trivially does), and as long as there is any production that requires human presence, consent, or subjective experience, comparative advantage exists.
Channel 4: New Industry Creation (The Jobs-That-Don’t-Exist-Yet Problem)
This is the channel that the catastrophists most egregiously ignore, perhaps because it’s the hardest to model in advance. The most important jobs created by technological revolutions are jobs that simply couldn’t have been predicted before the technology existed.
In 1900, nobody predicted that “film editor,” “radio broadcaster,” “airline pilot,” “software engineer,” “UX designer,” “social media manager,” or “podcast producer” would be major occupational categories. These jobs didn’t exist. They emerged from the new technological landscape and then became massive employers.
The argument against AGI-driven unemployment is not that we can predict exactly what the new jobs will be. The argument is that the historical base rate of technology creating new job categories at least as fast as it destroys old ones is 100% across every major technological transition in recorded economic history. Opponents of this view need to explain why this time is categorically different in a way that would break a pattern that has held without exception for 250 years of industrialization.
William Baumol’s “cost disease” is usually discussed as a problem, but it contains within it the answer to why technological unemployment can never be permanent at the macroeconomic level.
Baumol observed that productivity gains are uneven across sectors. Sectors that are easily mechanized (manufacturing, agriculture, data processing) see dramatic productivity increases; sectors that resist mechanization (live performance, personal care, bespoke services, therapy, teaching, craft) do not. As mechanized sectors get cheaper, the relative price of labor-intensive sectors rises, and society allocates more of its spending toward them — not less.
This means technology creates a systematic tilt toward human-intensive services precisely because it succeeds in automating the easily automated stuff. The more AGI automates routine cognitive work, the more valuable — and more in demand — genuine human connection, judgment, creativity, and embodied physical skill become. Not as a consolation prize, but because relative scarcity drives relative price and therefore relative employment.
Channel 3: Comparative Advantage and the Ricardo Insight
David Ricardo’s law of comparative advantage is one of the few truly non-obvious and consistently correct insights in all of economics, and it applies directly here.
Even if AGI becomes absolutely better than humans at every cognitive task — faster, cheaper, more accurate, more creative — it does not follow that humans have no economic role. What matters is comparative advantage: what can humans produce at the lowest opportunity cost relative to AGI?
Ricardo proved this with trade between nations: England should produce cloth and Portugal should produce wine even if Portugal is more productive at both, because specializing in their comparative advantages and trading leaves both better off than autarky. The same logic applies to humans and AGI. If AGI is 10x better at legal reasoning but 1,000x better at data entry, humans should do legal reasoning and let AGI do data entry — even though AGI dominates absolutely at both.
The AGI unemployment catastrophists implicitly assume that comparative advantage can somehow be zero — that there is literally nothing humans can do where the opportunity cost tradeoff favors human labor. This is not just empirically unsupported; it’s almost mathematically impossible given the structure of the argument. As long as human time has any value to humans themselves (which it trivially does), and as long as there is any production that requires human presence, consent, or subjective experience, comparative advantage exists.
Channel 4: New Industry Creation (The Jobs-That-Don’t-Exist-Yet Problem)
This is the channel that the catastrophists most egregiously ignore, perhaps because it’s the hardest to model in advance. The most important jobs created by technological revolutions are jobs that simply couldn’t have been predicted before the technology existed.
In 1900, nobody predicted that “film editor,” “radio broadcaster,” “airline pilot,” “software engineer,” “UX designer,” “social media manager,” or “podcast producer” would be major occupational categories. These jobs didn’t exist. They emerged from the new technological landscape and then became massive employers.
The argument against AGI-driven unemployment is not that we can predict exactly what the new jobs will be. The argument is that the historical base rate of technology creating new job categories at least as fast as it destroys old ones is 100% across every major technological transition in recorded economic history. Opponents of this view need to explain why this time is categorically different in a way that would break a pattern that has held without exception for 250 years of industrialization.
III. The Specific Structure of the AGI Unemployment Argument and Where It Goes Wrong
The AGI catastrophist argument typically runs like this:
1.AGI will be capable of performing any cognitive task a human can perform.
2.Cognitive tasks constitute the majority of employment in advanced economies.
3.Therefore, AGI will be able to replace the majority of workers.
4.Therefore, mass permanent unemployment follows.
Step 3 to Step 4 is where the lump of labor fallacy smuggles itself in. The argument assumes that the quantity of cognitive work to be done is fixed, such that when AGI does it, humans are left with nothing. But this is precisely what is not true, for all four channels described above.
Let me be more specific about how each gap in the argument fails:
Gap A: “AGI can do the task” ≠ “There is no more task to do”
When spreadsheets replaced bookkeepers in the 1980s, they did not reduce the total amount of financial analysis done in the American economy. They increased it, massively, because the cost of analysis fell, which meant more analysis got demanded, which meant more analysts got hired — to do more complex, higher-value analysis that the spreadsheets enabled. Automation of the low end of a cognitive spectrum does not eliminate work in that domain; it shifts the frontier of what human effort gets applied to upward.
AGI will do the same thing. If AGI can draft a competent first-pass legal brief in 30 seconds, law firms won’t employ zero lawyers. They’ll employ lawyers who review, refine, strategize, negotiate, argue in court, build client relationships, exercise judgment in novel situations — and they’ll take on far more cases per lawyer because the cost per case has fallen. Total legal work done in the economy will increase, not decrease, because more people will be able to afford it.
Gap B: The Argument Ignores Price Effects on Demand
The catastrophist framing treats the displacement of workers as a pure subtraction problem. But displaced workers who find new jobs (as they historically do) are also consumers. The productivity gains from AGI don’t disappear into a void — they show up as lower prices, higher real wages, or both. Higher real purchasing power means more consumption of more goods and services, which means more demand for labor to produce them.
Furthermore, the catastrophist argument generally ignores what happens to the profits generated by AGI-driven productivity. Those profits go to shareholders, who spend and invest them, creating demand elsewhere. Or they get competed away in product markets, lowering prices and raising real consumer purchasing power. Either pathway generates demand for labor.
The only scenario where this mechanism fails is one where the gains from AGI are so concentrated and the distribution so pathologically skewed that effective aggregate demand collapses — which is a political economy problem (a distributional problem solvable through tax policy and redistribution) rather than a fundamental unemployment problem caused by the technology itself.
The AGI catastrophist argument typically runs like this:
1.AGI will be capable of performing any cognitive task a human can perform.
2.Cognitive tasks constitute the majority of employment in advanced economies.
3.Therefore, AGI will be able to replace the majority of workers.
4.Therefore, mass permanent unemployment follows.
Step 3 to Step 4 is where the lump of labor fallacy smuggles itself in. The argument assumes that the quantity of cognitive work to be done is fixed, such that when AGI does it, humans are left with nothing. But this is precisely what is not true, for all four channels described above.
Let me be more specific about how each gap in the argument fails:
Gap A: “AGI can do the task” ≠ “There is no more task to do”
When spreadsheets replaced bookkeepers in the 1980s, they did not reduce the total amount of financial analysis done in the American economy. They increased it, massively, because the cost of analysis fell, which meant more analysis got demanded, which meant more analysts got hired — to do more complex, higher-value analysis that the spreadsheets enabled. Automation of the low end of a cognitive spectrum does not eliminate work in that domain; it shifts the frontier of what human effort gets applied to upward.
AGI will do the same thing. If AGI can draft a competent first-pass legal brief in 30 seconds, law firms won’t employ zero lawyers. They’ll employ lawyers who review, refine, strategize, negotiate, argue in court, build client relationships, exercise judgment in novel situations — and they’ll take on far more cases per lawyer because the cost per case has fallen. Total legal work done in the economy will increase, not decrease, because more people will be able to afford it.
Gap B: The Argument Ignores Price Effects on Demand
The catastrophist framing treats the displacement of workers as a pure subtraction problem. But displaced workers who find new jobs (as they historically do) are also consumers. The productivity gains from AGI don’t disappear into a void — they show up as lower prices, higher real wages, or both. Higher real purchasing power means more consumption of more goods and services, which means more demand for labor to produce them.
Furthermore, the catastrophist argument generally ignores what happens to the profits generated by AGI-driven productivity. Those profits go to shareholders, who spend and invest them, creating demand elsewhere. Or they get competed away in product markets, lowering prices and raising real consumer purchasing power. Either pathway generates demand for labor.
The only scenario where this mechanism fails is one where the gains from AGI are so concentrated and the distribution so pathologically skewed that effective aggregate demand collapses — which is a political economy problem (a distributional problem solvable through tax policy and redistribution) rather than a fundamental unemployment problem caused by the technology itself.
Under Orbán, Hungary has already become just another Russian oblast. Recent revelations and investigations clearly show this, so let’s look at their main findings:
- Hungarian FM Szijjártó has been leaking information from EU Council meetings directly to Russian FM Lavrov
- The Hungarian government has wiretapped its citizens and used Pegasus spyware against journalists
- Fidesz thugs are running a massive interference campaign in the Hungarian countryside, intimidating people to vote for them or lose their jobs, electricity, or food aid
- These same thugs have given drug addicts drugs for their votes and provided pálinka for alcoholics so they would vote for Orbán’s candidates
- Some families have even been told their kids would be taken away if they do not vote “correctly”
- For diaspora voters (where Fidesz gets 95% of the vote), Orbán is sending “thank you” messages and propaganda together with the ballots
- At the same time, Orbán’s masters in the Kremlin are helping him in every way they can. AI-generated fakes, fake news, disinformation, and mass commentary in crude Hungarian language. The system is run by Sergey Kiriyenko, who organizes “elections” and runs the massive disinformation machinery in Russia
- Orbán also uses his thugs, titushky, to intimidate people at voting booths and rallies. This was evident at yesterday’s rally in Győr
- Fidesz has filled the country with AI-generated posters of Zelenskyy. Someone counted 94 of them on the road from Budapest Airport to the city center
- For years, Fidesz has gerrymandered the electoral map to benefit the party in power.
And still, Orbán is losing. It seems that people are finally fed up with his shit.
In case Orbán still manages to cheat his way to victory, the EU should not send another cent to Hungary, and its voting rights should be revoked immediately.
- Hungarian FM Szijjártó has been leaking information from EU Council meetings directly to Russian FM Lavrov
- The Hungarian government has wiretapped its citizens and used Pegasus spyware against journalists
- Fidesz thugs are running a massive interference campaign in the Hungarian countryside, intimidating people to vote for them or lose their jobs, electricity, or food aid
- These same thugs have given drug addicts drugs for their votes and provided pálinka for alcoholics so they would vote for Orbán’s candidates
- Some families have even been told their kids would be taken away if they do not vote “correctly”
- For diaspora voters (where Fidesz gets 95% of the vote), Orbán is sending “thank you” messages and propaganda together with the ballots
- At the same time, Orbán’s masters in the Kremlin are helping him in every way they can. AI-generated fakes, fake news, disinformation, and mass commentary in crude Hungarian language. The system is run by Sergey Kiriyenko, who organizes “elections” and runs the massive disinformation machinery in Russia
- Orbán also uses his thugs, titushky, to intimidate people at voting booths and rallies. This was evident at yesterday’s rally in Győr
- Fidesz has filled the country with AI-generated posters of Zelenskyy. Someone counted 94 of them on the road from Budapest Airport to the city center
- For years, Fidesz has gerrymandered the electoral map to benefit the party in power.
And still, Orbán is losing. It seems that people are finally fed up with his shit.
In case Orbán still manages to cheat his way to victory, the EU should not send another cent to Hungary, and its voting rights should be revoked immediately.
Peak. Vapalla Balachandran made a recommendation in 2004. Sushil kumar shinde was a past friend of Vappala and was chief minister of Maharashtra in 2004. He ignored Balachandran's recommendation and didn't even read it properly, evidently from how he interpreted the crux
2) The former NSA in 2006 warned that sea based attacks on BARC could happen. Maharashtra government at the time had got prior intelligence that LeT was preparing for a sea borne attack. It keeps getting worse.
3) Inshallah CNBC has better intel from indian intel agencies than the government. CNBC reported that LeT militants had taken a sea borne route to enter India similar to how 26/11 played out. But as always no action was taken.They had the same MO as 26/11 . Likely test run
During a job interview, if they ask: "How do you handle it when everything is a priority?"
USE THE GOLDEN RESPONSE:
USE THE GOLDEN RESPONSE:
1. The Resource Constraint Check
Situation: Your manager drops three new "urgent" tasks into a sprint that is already at absolute capacity. You are cornered into working the weekend or admitting defeat.
Response: "I can take this on immediately. Which of my current deliverables should I deprioritize to make room for this new scope?"
Why it works: It forces leadership to make the hard choice instead of dumping it on you. You show that your time is finite, highly protected, and directly tied to strategic output.
Situation: Your manager drops three new "urgent" tasks into a sprint that is already at absolute capacity. You are cornered into working the weekend or admitting defeat.
Response: "I can take this on immediately. Which of my current deliverables should I deprioritize to make room for this new scope?"
Why it works: It forces leadership to make the hard choice instead of dumping it on you. You show that your time is finite, highly protected, and directly tied to strategic output.
2. The Revenue Anchor
Situation: Five different stakeholders are screaming that their specific feature needs to be shipped first, creating massive political friction across departments.
Response: "Let's align on impact. Which of these requests directly unblocks Q3 revenue or prevents immediate churn? I will ship that one today."
Why it works: It cuts entirely through office politics and subjective opinions. You tie your engineering output directly to cash flow and business survival.
Situation: Five different stakeholders are screaming that their specific feature needs to be shipped first, creating massive political friction across departments.
Response: "Let's align on impact. Which of these requests directly unblocks Q3 revenue or prevents immediate churn? I will ship that one today."
Why it works: It cuts entirely through office politics and subjective opinions. You tie your engineering output directly to cash flow and business survival.
On 1 March 2026, Iranian forces launched drone strikes against Amazon Web Services (AWS) data centres in the United Arab Emirates and Bahrain, coinciding with the first day of intensified regional hostilities following US and Zionist strikes that eliminated Supreme Leader Ayatollah Ali Khamenei.
These operations damaged three facilities: two in the UAE suffered direct hits, igniting fires and forcing power shutdowns, while a Bahrain site sustained structural impact from a nearby drone explosion. AWS confirmed the incidents, noting structural damage, disrupted power delivery, and water-related issues from fire suppression activities, leading to prolonged recovery for affected services.
...
Ten days later, on 11 March 2026, Tasnim News Agency — claimed to be affiliated with the IRGC — published a list designating six US tech companies as “Iran’s new targets”. The firms named were Google (Alphabet), Oracle, Palantir, Nvidia, IBM, and Microsoft, with specific offices, data centres, and infrastructure highlighted in the Zionist entity, Dubai, Abu Dhabi, and other Gulf locations.
Tasnim explicitly linked this escalation to the broadening conflict: “As the scope of the regional war expands to infrastructure war, the scope of Iran’s legitimate targets expands”. The list detailed facilities, asserting these assets support military applications tied to the US and the Zionist regime.
The list, disseminated via Tasnim's Telegram channel and titled ‘Iran’s New Targets’, identified approximately 29 locations across Bahrain, the Zionist entity (primarily Tel Aviv, Haifa, Jerusalem, and Be'er Sheva), Qatar, and the United Arab Emirates (mainly Dubai and Abu Dhabi). These encompassed a mix of offices, cloud infrastructure, research and development (R&D) centres, and data facilities, which Tasnim described as "enemy technology infrastructure" allegedly used for adversarial military and intelligence purposes.
Breakdown by company (as detailed in reports citing the Tasnim post):
Amazon: Five facilities, including additional AWS data centres beyond those already struck on 1 March, plus offices in Tel Aviv and Haifa.
Microsoft: Five facilities, including regional offices and cloud-related sites in Tel Aviv and other locations.
IBM: Six facilities, notably its AI research and threat response centre in Be'er Sheva.
Google (Alphabet): Four facilities, including the regional Dubai office (handling advertising and search operations) and its Qatar office for cloud support services.
NVIDIA: Three facilities, prominently featuring its "main and largest R&D centre" in Haifa.
Oracle: Three facilities, including its regional cloud service office in Jerusalem and main office in Abu Dhabi.
Palantir: Three facilities, such as its strategic collaboration centre in Abu Dhabi and regional office in Tel Aviv.
*****************************
Full details of corporate complicity in genocide follow in my latest:
Iran Strikes Data Centres: Escalating Cyber Warfare and Corporate Complicity in Zionist/US attack
Link in replies
These operations damaged three facilities: two in the UAE suffered direct hits, igniting fires and forcing power shutdowns, while a Bahrain site sustained structural impact from a nearby drone explosion. AWS confirmed the incidents, noting structural damage, disrupted power delivery, and water-related issues from fire suppression activities, leading to prolonged recovery for affected services.
...
Ten days later, on 11 March 2026, Tasnim News Agency — claimed to be affiliated with the IRGC — published a list designating six US tech companies as “Iran’s new targets”. The firms named were Google (Alphabet), Oracle, Palantir, Nvidia, IBM, and Microsoft, with specific offices, data centres, and infrastructure highlighted in the Zionist entity, Dubai, Abu Dhabi, and other Gulf locations.
Tasnim explicitly linked this escalation to the broadening conflict: “As the scope of the regional war expands to infrastructure war, the scope of Iran’s legitimate targets expands”. The list detailed facilities, asserting these assets support military applications tied to the US and the Zionist regime.
The list, disseminated via Tasnim's Telegram channel and titled ‘Iran’s New Targets’, identified approximately 29 locations across Bahrain, the Zionist entity (primarily Tel Aviv, Haifa, Jerusalem, and Be'er Sheva), Qatar, and the United Arab Emirates (mainly Dubai and Abu Dhabi). These encompassed a mix of offices, cloud infrastructure, research and development (R&D) centres, and data facilities, which Tasnim described as "enemy technology infrastructure" allegedly used for adversarial military and intelligence purposes.
Breakdown by company (as detailed in reports citing the Tasnim post):
Amazon: Five facilities, including additional AWS data centres beyond those already struck on 1 March, plus offices in Tel Aviv and Haifa.
Microsoft: Five facilities, including regional offices and cloud-related sites in Tel Aviv and other locations.
IBM: Six facilities, notably its AI research and threat response centre in Be'er Sheva.
Google (Alphabet): Four facilities, including the regional Dubai office (handling advertising and search operations) and its Qatar office for cloud support services.
NVIDIA: Three facilities, prominently featuring its "main and largest R&D centre" in Haifa.
Oracle: Three facilities, including its regional cloud service office in Jerusalem and main office in Abu Dhabi.
Palantir: Three facilities, such as its strategic collaboration centre in Abu Dhabi and regional office in Tel Aviv.
*****************************
Full details of corporate complicity in genocide follow in my latest:
Iran Strikes Data Centres: Escalating Cyber Warfare and Corporate Complicity in Zionist/US attack
Link in replies
Here is the link to the full article: ukcolumn.org/article/iran-s…
Google: Enabling Surveillance and AI Targeting
Google's deep involvement stems from Project Nimbus, the 2021 $1.2 billion cloud contract with Amazon to supply the Zionist government and military with advanced computing and AI services. Leaked documents reveal Google agreed to a “winking mechanism” — a secret alert system notifying the Zionist entity of foreign data access requests, bypassing standard legal processes, as exposed in a joint investigation by The Guardian, +972 Magazine, and Local Call.
As The Intercept reports, Nimbus provides access to AI capabilities including face detection, object tracking, sentiment analysis, and other complex tasks that have been integrated into Israeli military systems for mass surveillance and automated targeting in Gaza and the West Bank, contributing directly to the genocide.
Google's Israeli R&D centres employ former Unit 8200 personnel, fostering seamless tech-intel transfers. Notable examples include:
Gavriel Goidel, who served in Unit 8200 from 2010 to 2016 as Head of Learning (leading teams to analyse patterns of "hostile activists") and now holds the position of Head of Strategy and Operations at Google.
Jonathan Cohen, a former Unit 8200 team leader (2000–2003), who has spent over 13 years in senior Google roles, and is currently Head of Insights, Data and Measurement.
These hires exemplify the pipeline from Zionist intelligence to Silicon Valley leadership, where ex-Unit 8200 operatives bring expertise in signals intelligence, data analysis, and cyber operations directly into corporate AI and cloud development.
In US-Zionist operations against Iran, Google's AI models support drone surveillance and predictive analytics, aiding identification of nuclear and military sites. While direct attribution remains classified, broader US military adoption of frontier AI (including large language models for intelligence summarisation and target prioritisation) intersects with Google's capabilities.
Google's deep involvement stems from Project Nimbus, the 2021 $1.2 billion cloud contract with Amazon to supply the Zionist government and military with advanced computing and AI services. Leaked documents reveal Google agreed to a “winking mechanism” — a secret alert system notifying the Zionist entity of foreign data access requests, bypassing standard legal processes, as exposed in a joint investigation by The Guardian, +972 Magazine, and Local Call.
As The Intercept reports, Nimbus provides access to AI capabilities including face detection, object tracking, sentiment analysis, and other complex tasks that have been integrated into Israeli military systems for mass surveillance and automated targeting in Gaza and the West Bank, contributing directly to the genocide.
Google's Israeli R&D centres employ former Unit 8200 personnel, fostering seamless tech-intel transfers. Notable examples include:
Gavriel Goidel, who served in Unit 8200 from 2010 to 2016 as Head of Learning (leading teams to analyse patterns of "hostile activists") and now holds the position of Head of Strategy and Operations at Google.
Jonathan Cohen, a former Unit 8200 team leader (2000–2003), who has spent over 13 years in senior Google roles, and is currently Head of Insights, Data and Measurement.
These hires exemplify the pipeline from Zionist intelligence to Silicon Valley leadership, where ex-Unit 8200 operatives bring expertise in signals intelligence, data analysis, and cyber operations directly into corporate AI and cloud development.
In US-Zionist operations against Iran, Google's AI models support drone surveillance and predictive analytics, aiding identification of nuclear and military sites. While direct attribution remains classified, broader US military adoption of frontier AI (including large language models for intelligence summarisation and target prioritisation) intersects with Google's capabilities.
🧵 I nani italiani contro la scienza ufficiale 1/
Martedì @NIHDirector_Jay Bhattacharya, direttore del Nih (massima agenzia sanitaria mondiale che gestisce un budget annuale di 48,7 miliardi di dollari) ha confermato in commiss Covid che i lockdown prolungati hanno provocato danni e che il green pass si basava su un falso scientifico, perché sin dall’inizio si sapeva che il vaccino anticovid non proteggeva dal contagio.
Martedì @NIHDirector_Jay Bhattacharya, direttore del Nih (massima agenzia sanitaria mondiale che gestisce un budget annuale di 48,7 miliardi di dollari) ha confermato in commiss Covid che i lockdown prolungati hanno provocato danni e che il green pass si basava su un falso scientifico, perché sin dall’inizio si sapeva che il vaccino anticovid non proteggeva dal contagio.
2/ La relazione di @NIHDirector_Jay è stata seguita dai membri della commissione Covid tra cui @LucioMalan di Fratelli d’Italia, @ClaudioBorghi e @AlbertoBagnai della Lega, che sui loro canali social ne hanno semplicemente riferito i punti principali, di fatto una pesante critica alla gestione pandemica italiana durante i governi di Conte e Draghi.
3/ Due sedicenti divulgatori italiani che in pandemia avevano furiosamente sostenuto le restrizioni pandemiche criticate dal prof Bhattacharya, consapevoli di non avere i titoli per potersi confrontare direttamente con il luminare, hanno attaccato a testa bassa i politici che lo hanno citato, lasciando intendere che si trattasse di farina del loro sacco, “invasioni di campo di politici incompetenti”.
Hajj Ali Choeib was a presence that shaped how entire generations came to understand war, truth, & “Israel.” He shaped our awareness through his professionalism & his clarity, & drew the contours of our understanding in moments when the noise of journalists looking for fame & attention easily prevailed. As the voice of Al Manar, he always spoke from the front that he never left even when others stepped back. His place was always there, bearing witness for us all.
Hajj Ali Choeib’s journalism wasn’t about spectacle but about conscience. No exaggerations… he delivered what needed to be said, with precision & conscience. His journalism was an act of integrity, informing without distorting, honouring sacrifice without exploiting it.
“Israel” assassinated him today, along with Fatima Ftouni (Al Mayadeen) & her brother, who is also a cameraman.
Al Fatiha.
Hajj Ali Choeib’s journalism wasn’t about spectacle but about conscience. No exaggerations… he delivered what needed to be said, with precision & conscience. His journalism was an act of integrity, informing without distorting, honouring sacrifice without exploiting it.
“Israel” assassinated him today, along with Fatima Ftouni (Al Mayadeen) & her brother, who is also a cameraman.
Al Fatiha.
He was the sole correspondent south of the Litani River during the 2006 “Israeli” aggression on Lebanon. He used to meet the rest of the team at the Khardali crossing to give the journalists of Al Manar his tapes, as there was no Internet connection everywhere like there is today. He covered the Liberation of Lebanon in 2000, as well as the fights against the Takfirists in the Beqaa in 2017. The journalists at Al Manar are remembering now how he taught them, they’re calling him a mentor, & the leading mentor of war media.
He refused to leave the areas of Khiam, Marjayoun, in the South, last week. He was very insistent on showcasing the truth & nothing but, as the legacy of Al Manar has always been. What a great man, what a great journalist, what a great human being. I am extremely sad.