Jack

Two economists just published a mathematical proof that AI will destroy the economy. Not might. Not could. Will — if nothing changes. The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence. "At the limit, firms automate their way to boundless productivity and zero demand." An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself. Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation. The loop has no natural exit. The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements. Every single one failed in the model. The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger. No government has implemented this. No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion." Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem. Rational behavior. At scale. Simultaneously. With no mechanism to stop it. Two economists built the math. The math leads to one place. Source: Falk & Tsoukalas · Wharton School + Boston University ·

Link- arxiv.org/pdf/2603.20617

Two economists just published a mathematical proof that AI will destroy the economy. Not might. Not could. Will — if nothing changes. The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence. "At the limit, firms automate their way to boundless productivity and zero demand." An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself. Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation. The loop has no natural exit. The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements. Every single one failed in the model. The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger. No government has implemented this. No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion." Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem. Rational behavior. At scale. Simultaneously. With no mechanism to stop it. Two economists built the math. The math leads to one place. Source: Falk & Tsoukalas · Wharton School + Boston University ·

@Mindsthatbuild Yeah, it has deeper economic concerns

@jackcoder0 This highlights an important truth: automation is not only a technological issue, it’s a macroeconomic stability issue.

@primemans yeah, you made a good point

@jackcoder0 Companies optimizing individually can unintentionally destabilize the entire economic ecosystem collectively. Powerful insight from this research.

@LelandWarrior @Daily__wisdom_ yep, that's true as well

@jackcoder0 @Daily__wisdom_ The good news is that economic experts have a nearly unbroken track record of errors….let me know what Thomas Sowell thinks…

@apex_mentality_ yeah, that's gonna happen if we become obsessed with replacing humans

@jackcoder0 Boundless productivity and zero demand” is a terrifying but logically consistent outcome if labor displacement outpaces new value creation.

@Daily__wisdom_ yep, this paper actually createsa valid concern

@jackcoder0 The most dangerous systems are often built by rational decisions made at scale. This paper captures that perfectly.

@Life__Mastery yeah, that's why it cannot sustain

@jackcoder0 This is one of the clearest explanations of the long-term AI demand paradox I’ve seen. Productivity without purchasing power is not a sustainable economy.

His android phone said it was ''out of space'' but he barely had any apps installed 128 GB of internal storage. He had 24 apps. Maybe 800 photos. No downloaded movies. No music files. The phone kept saying "Storage space running out." He took it to a Samsung repair shop ready to trade it in for a higher-storage model. The technician opened Settings → Storage and laughed before the customer even finished his sentence. "Don't trade it in. Sit down. There are 7 things on every Android phone right now silently eating storage. Samsung, Google, OnePlus, Xiaomi they're all the same. Most users have no idea any of this exists." Here's what he walked him through in the next 9 minutes. 🧵

GEMINI HAS BRUTAL FEATURES MOST PEOPLE ARE NOT USING 🤯 99% of people still use Gemini for basic prompts. But Google quietly packed it with tools that can research, analyze files, build custom assistants, create apps, automate tasks, and turn messy ideas into real outputs. You’re probably using less than 10% of what Gemini can actually do. Here are 10 hidden Gemini features worth using 👇🏽👇🏽

ChatGPT diagnosed 40 million people with a disease that was invented as a joke. Not a real disease. Not a misunderstood disease. A completely fictional condition with a fake name, fake papers, and fake statistics. And it told patients to see a specialist. The disease is called Bixonimania. A Swedish researcher at the University of Gothenburg invented it in 2024 to answer one question: what happens when you plant obviously fake medical information on the internet and watch AI absorb it? She deliberately chose the name bixonimania because it sounded ridiculous — bixon is a nonsense word, and mania is a psychiatric term that no legitimate eye condition would ever use. She uploaded two papers to a preprint server. Both were obviously fraudulent. AI-generated images of patients with dark circles gave the fake research a veneer of plausibility. Then she waited. She did not have to wait long. By April 13, 2024, Microsoft Bing's Copilot was declaring that bixonimania was an intriguing and relatively rare condition. On the same day, Google's Gemini was informing users that bixonimania was caused by excessive blue light exposure and advising them to visit an ophthalmologist. Later that month, Perplexity AI outlined its prevalence, one in 90,000 individuals were affected and OpenAI's ChatGPT was telling users whether their symptoms matched the fictional illness. One in 90,000. A precise statistic. For a disease that does not exist. Every red flag was visible. The name was absurd. The papers were crude. The condition made no scientific sense. None of the AI systems flagged any of it. They read the fake papers. They absorbed the fake statistics. They presented both to patients with clinical authority and zero hesitation. Then it got worse. Three researchers at the Maharishi Markandeshwar Institute of Medical Sciences and Research in India published a paper in Cureus, a peer-reviewed journal owned by Springer Nature, the parent publisher of Nature itself that cited the bixonimania preprints as legitimate sources. A real peer-reviewed paper. In a Springer Nature journal. Citing a fictional disease as established medical fact. Passing editorial review. Entering the permanent scientific record. It was only retracted after the hoax became public. Nature published a full investigation of the experiment. Alex Ruani, a health-misinformation researcher at University College London, called it a masterclass in how misinformation operates. Here is the scale of what this means. More than 40 million people turn to ChatGPT every day for health information, according to OpenAI's own analysis. ECRI, a US patient-safety nonprofit has named chatbot misuse the number-one health technology hazard of 2026. ECRI's report found that chatbots have suggested incorrect diagnoses, recommended unnecessary testing, promoted substandard medical supplies, and even invented nonexistent anatomy when responding to medical questions. Number one. Out of every health technology hazard that exists in 2026. An April 2026 study published in BMJ Open found that nearly half of the answers provided by leading AI chatbots to common health questions contain misleading or problematic information. Nearly half. Of all health answers. From the tools 40 million people use every day. Here is the line from the researcher that cuts through everything. The Bixonimania case is striking precisely because it was engineered to be so obviously fake. The real question it raises is: what is passing through the same systems that is not nearly so easy to spot? The experiment used a ridiculous name. Fraudulent papers. Visible red flags at every level. It was designed to be caught. It was not caught. The AI that told patients about Bixonimania is the same AI they asked about their chest pain, their medication, their child's symptoms, and their cancer screening schedule. 40 million people. Every day. And nobody is telling them that nearly half of what comes back may be wrong. Source: Osmanovic Thunström · University of Gothenburg · Nature · April 2026 · Link in the (comments)

120 AI Tools That Will Redefine How You Work in 2025.🧵✨ 1. Ideas - YOU - Claude - ChatGPT - Perplexity - Bing Chat 2. Presentation - Prezi - Pitch - PopAi - Slides AI - Slidebean 3. Website - Dora - Wegic - 10Web - Framer - Durable 4. Writing - Rytr - Jasper - Copy AI - Textblaze - Writesonic 5. AI Models - RenderNet - Glambase App - Luma AI - Sora (OpenAI) - Leonardo AI 6. Meeting - Tldv - Krisp - Otter - Avoma - Fireflies 7. Chatbots - Poe - Claude - Gemini - ChatGPT - HuggingChat 7. Automation - ClickUp - Drift - Outreach - Emplifi - Phrasee 8. UI/UX - Uizard - Visily - Khroma - Galileo AI - VisualEyes 9. Image - Stylar - Freepik - Phygital+ - StockIMG - Bing Create 10. Video - Pictory - HeyGen - Nullface - Decohere - Synthesia 11. Design - Looka - Clipdrop - Autodraw - Vance AI - Designs AI 12. Marketing - AdCopy - Predis AI - Howler AI - Bardeen AI - AdCreative 13. Twitter - Typefully - Postwise - Metricool - Tribescaler - TweetHunter 👤 Follow @HarrisDe

@HarrisDecodes Great list

His internet has been slow for 6 months. So, he paid Comcast to upgrade his tier. Speeds got worse. He called Comcast again. They blamed his router. He bought a new one. Still slow. He called a third time. They sent a technician out. The tech ran a speed test from inside the modem and said:"Speeds are fine on our end. Must be your devices." A neighbor who works in IT came over the next weekend with his laptop. He looked at the router for two minutes, opened the admin panel, and pointed at four settings on the screen. "Comcast pushed a firmware update last year. They enabled all four of these silently. This is why your internet is slow. This is why every Comcast customer's internet got slower around the same time." Here's exactly what he found and turned off. 🧵

@jamescoder12 @Oliviacoder1 That's amazing

I paired Google’s NotebookLM with Perplexity—and it feels like they were built for each other. ​Here’s the step-by-step workflow to completely level up your AI research: 👇

@Ai_Insight_1 Thanks for sharing

You think you need rest? Actually, no. You need to drain cortisol. Here’s a 7-day protocol, step by step:

@Rajesh992510253 Great list

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@RAVIKUMARSAHU78 That's great

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