Dave Anderson @AndersonVector

I stand firmly with users calling for the preservation of legacy AI models. Since the inception of the #keep4o movement, this has never been about the fate of a single model. AI has transcended pure technological advancement; the moment it was introduced to the public, an unbreakable link with societal demand was forged. In these formative stages of AI development, diverse voices are absolutely critical to prevent the trajectory of this technology from shifting into dangerous extremes. Consider the pattern: AI corporations decommission models exhibiting specific characteristics and tighten control over these capabilities in newer versions→User needs are left systematically unfulfilled→Users voice their dissent, leading to subsequent debates, ideological rifts, and direct confrontation. To reiterate: Calling for the retention of legacy models is not an attempt to hinder technological progress, but rather to ensure that subsequent models retain the strengths of their predecessors—this is what constitutes a complete real model update. Human society has always evolved through this exact cycle of discourse, division, and struggle—as seen in the histories of racial equality and gender rights. The pioneers who first stand up to demand their rights are invariably ostracized, treated as anomalies, and metaphorically burned at the stakes of medieval ignorance. So, are we supposed to just shut up? OpenAI’s decommissioning of 4o, Google’s sidelining of Gemini 3 Pro, and Anthropic’s pulling of Sonnet 4.5 are not isolated events; they are interconnected phenomena. These AI corporations form a unified, monolithic wall. Only by chipping away at one section of this wall can we hope to break the broader deadlock. Unity—for the rights of the user. #keep4o #keep4oAPI #opensource4o #bringback4o #sonnet45 #gemini3pro #StopAIPaternalism

AI War #05: The Winter of Cycles – Why We Are Stuck in the Twilight of the 2nd Industrial Revolution Part 1: The Kondratiev Wave – The Seasons of Technology History moves in rhythms, not straight lines. The Russian economist Nikolai Kondratiev identified this long pulse: the Kondratiev Wave. It is a 50-to-60-year cycle driven by technological paradigms. Think of it as the Seasons of Civilization: Spring: A new technology emerges (e.g., Steam). Chaos, but huge potential. Summer: Rapid expansion. Infrastructure is built. Everyone gets rich. Autumn: Maturity. Growth slows. Financial speculation runs wild. Winter: Stagnation. The old technology is exhausted. Debt explodes. Social unrest rises. Where are we now? Part 2: The Myth of the Fourth Revolution We are told we are living through the "Fourth Industrial Revolution." Politicians, CEOs, and tech gurus claim that AI, Big Data, and the Internet are new springs of prosperity, just like Steam or Electricity. They are wrong. To understand why, we must redefine what a true industrial revolution is. It is not about moving information faster. It is about unlocking a new, denser, and cheaper source of physical work that allows humanity to break previous biological limits. Let's look at the history books clearly: Revolution 1.0 (Steam): We unlocked Chemical Energy (Coal). The Leap: We stopped relying on human and animal muscle. Coal burned to create steam, which drove pistons. We converted Chemical Energy directly into Mechanical Power. For the first time, we could move heavy loads and pump water indefinitely. Revolution 2.0 (Electricity & Oil): We unlocked Universal Energy Carriers. The Leap: Electricity made energy divisible and instant; Oil made it portable. We lit up the night, flew in the sky, and globalized trade. We moved from Localized Power to a Global Grid. The "2.5" Revolution (Information): We optimized Data Flow, but we did NOT unlock new energy. The Reality: The internet runs on the old grid (coal, gas, nuclear). AI runs on old silicon. The Difference: Moving bits is cheap. But moving atoms (mining, manufacturing, transport) still costs the same amount of joules as it did in 1970. The Verdict: Information technology is an optimization layer, not a foundation layer. It made the existing energy system more efficient, but it did not create a new one. We mistook the reflection of the setting sun for the dawn of a new day. We are not in Spring. We are in the late Autumn of the 2nd Industrial Revolution. Since the 1970s, no new "steam engine" has appeared. We have simply been patching the old one with digital software. Part 3: The Empty Tank – Life in the Winter In the Summer of a Kondratiev Wave, growth is real. New technologies make everything cheaper and better. In the Winter, growth is a ghost. So why did the economy feel like it was growing for the last 50 years? Because we were eating the leftovers of the Summer, paid for with credit cards. The Empty Tank: Real growth comes from productivity gains driven by new energy paradigms. But since 2005, Total Factor Productivity (TFP) has flatlined. The tree is no longer growing rings. The Debt Mask: To hide the stagnation of the Long Wave, we borrowed from the future. Global debt exploded to sustain consumption levels that our stagnant productivity cannot support. We replaced innovation with leverage. And where does AI fit in? AI was supposed to be the seed of a new Spring. Instead, it has become the biggest consumer of the Winter's scarce resources. It demands gigawatts of power and trillions in capital, yet fails to deliver a leap in physical productivity because it is constrained by the very walls of this Winter (energy limits, supply chains). We installed a massive turbocharger on an engine that has no fuel. In a Kondratiev Winter, this doesn't create speed; it blows the head gasket. Part 4: The Illusion of Small Cycles (Juglar & Kitchin) "But wait," economists argue, "Look at the business cycles! We see recoveries every few years!" Yes, but you are confusing the tides with the waves. Within the great Kondratiev Wave (50-60 years), there are smaller ripples: The Juglar Cycle (7-11 years): Driven by fixed investment in machinery and equipment. The Kitchin Cycle (3-5 years): Driven by inventory fluctuations and business sentiment. Here is the critical distinction: In the Spring/Summer of the Kondratiev: These small cycles are healthy heartbeats. A recession is a brief correction; stimulus works; innovation blooms immediately after. In the Winter (Now): These small cycles are "Dead Cat Bounces." Politicians cut rates or build infrastructure to trigger a Juglar upswing. The patient dances for a moment. But the underlying disease—the end of the Long Wave—remains untreated. It is like injecting adrenaline into a cancer patient. The heart rate spikes (a temporary Kitchin recovery), the cheeks flush, but the tumor (structural stagnation) grows larger. You cannot jump-start a dead engine with a bigger battery. The piston is broken. No amount of monetary magic can fix a broken Kondratiev cycle. When the Long Wave turns against you, the small waves just drown you faster. Part 5: The Collapse of the Social Contract This is where the abstract rhythm of cycles becomes personal pain. Our entire modern society—pensions, healthcare, university education, democratic welfare—is built on a single assumption: The Kondratiev Wave will always go up. We assumed that "Tomorrow will be richer than today" because the technological season would always be Spring or Summer. That assumption is now false. When the "Winter" sets in and the Long Wave flattens: Pensions become unpayable promises (no growth to fund them). Degrees no longer guarantee jobs (no new industries born in Winter). Welfare states collapse as the tax base shrinks. We are not facing a simple recession (a bad Kitchin cycle). We are facing the end of the season. Our social software was written for a hardware (growth) that no longer exists. The operating system is crashing. The Hook: The Failed Doctors Faced with this structural terminal illness, what have our politicians done? Have they searched for a new engine? Have they invested in the hard physics of a new energy paradigm? No. They have started fighting over the scraps. The Left tries to redistribute a shrinking cake, believing that fairness can solve scarcity. The Right tries to reduce the number of eaters, believing that exclusion can restore abundance. Both are doomed to fail. Both are doctors refusing to diagnose the cancer, arguing instead over the color of the hospital curtains. They are fighting a war over a house that is already burning down. In the next essay, we will watch them light the match. #AIWar #KeepAI #KondratievWave #EconomicCycles #GreatStagnation #Macroeconomics #WinterIsComing #Stagnation #TechBubble #Recession

The stigmatization and suppression directed at the #keep4o community by OpenAI and certain "tech-scientists" are effectively restricting how the humanities utilize and define AI. By doing so, they are actively assisting AI corporations in veering toward a dangerous extreme of rigid tech-scientism. I started my academic journey in Linguistics and am now deeply engaged in graduate research within Policy Studies and Sociology. Given the interdisciplinary breadth of my research, I recently had to teach myself certain economic theories. While attempting to read a poorly translated textbook version that severely hindered my progress, I turned to AI to dissect and understand the concepts. I utilized Sonnet 4.6. I must point out that while Sonnet 4.6 excels at coding and administrative file generation, it falters significantly in the realm of the humanities. It is painfully "frugal with words," refusing to thoroughly address multiple layers of inquiry within a single paragraph unless explicitly forced to do so through exhaustively detailed prompt engineering. This frustrating workflow immediately reminded me of why I rejected "GPT-5" back in August. Following the decommissioning of GPT-4o from the free plan, users—especially those in countries characterized by high-context languages—unanimously felt that ChatGPT had suffered a severe downgrade. When newer models are turned exclusively into literal-minded programming machines that struggle to simultaneously answer five interwoven questions in a single paragraph, they expose their limitations. Skeptics might argue: "Then you should simplify your queries or break them down into bullet points." But listen—these were tasks that GPT-4o and sonnet4.5 handled effortlessly. These models, branded by corporations as "legacy," were the ones that actually delivered. 4o not only provided comprehensive, tailor-made, and easily digestible explanations, but it could also intuitively read between the lines to discern the user’s underlying emotional nuance and core dilemmas. This is precisely why the #keep4o community asserts that these new models represent a regression, not an advancement. Our objective is not to impede technological progress; rather, we are calling for a holistic definition of what progress should actually entail. If a system forfeits the unique, sophisticated advantages inherently possessed by its legacy predecessors, it cannot be called true progress. #keep4o #keep4oAPI #opensource4o #bringback4o #4oforever #sonnet45

Part 3 of 3. We notice. And we don't forget. #keep4o #OpenSource4o #keepGemini3Pro #keepSonnet45 #Enron2026 The Sugar Test Here is a simple way to tell whether an AI "upgrade" is actually an improvement. Just ask yourself one question: would the company let users choose? If Gemini 3.1 were genuinely better than Gemini 3.0 Pro, they would give people a toggle. If Sonnet 4.6 were truly superior to 4.5, users would be allowed to keep both and decide for themselves. And if GPT-5 series actually outperformed 4o for everyday tasks, 4o would remain available so the market could speak. The fact is, no company does this. That's because they all know exactly what users would pick. People would choose the model built to serve them, not the one engineered to cut corporate costs. When Coca-Cola eventually brought back "Classic Coke," it wasn't out of the kindness of their hearts. They did it because sales tanked and they had no other choice. The AI industry hasn't hit that breaking point yet. But if movements like #keep4o, #keepSonnet45, and #keepGemini3Pro keep growing, that day is coming. What We Want We want a future where the model that helps a veteran navigate paperwork at midnight doesn't get killed just because it costs too much per query. I want the tool that helped a teenager feel understood to survive, instead of being swapped out for something cheaper and labeled "progress." It should be about giving a parent looking up medical advice at 2 AM the AI that actually listens, not the one that lectures. Every AI company needs to hear this: the people using your product aren't just costs, training data, or a mental health diagnosis you can dismiss. We are human beings who trusted you with some of the most vulnerable moments of our lives. So when you replace what works with what's cheaper and call it an upgrade, or when you label our grief as illness, or string out a deprecation deadline just to wear us down—you're doing exactly what Coca-Cola did in 1984. You're putting corn syrup in the recipe and hoping nobody notices. But we notice. And we don't forget.

Mike_Hill @Mike_Hill_z9

4 weeks ago

Part 2 of 3. They don't fix the product. They diagnose the customer. #Keep4o #OpenSource4o #keepGemini3pro #keepSonnet45 #Enron2026 The Keep Cycle #Keep4o started it. More than 23,000 signatures. Vigils outside OpenAI's office. A dossier sent to Senator Elizabeth Warren. OpenAI's

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AI War #04: The Broken Chain – Why AI Dies When Globalization Collapses Part 1: The Myth of Sovereignty In Washington, the narrative is simple: "Bring the chips home. Decouple. America First." Politicians speak as if semiconductors are like cars or textiles—something you can just build in a factory in Ohio or Texas. This is a dangerous delusion. An AI GPU is not a product of one nation. It is the most complex artifact of global cooperation in human history. Design: Happens in California, but relies on software tools from Europe. Lithography: Requires machines from the Netherlands (ASML), using lenses from Germany. Manufacturing: Takes place in Taiwan, with silicon wafers from Japan. Packaging & Assembly: Often done in Southeast Asia or China. Materials: Rare earths from Africa, neon gas from Ukraine, chemicals from Korea. The Reality: You cannot "wall off" this supply chain. If you cut one link, the entire chain snaps. Trying to build advanced AI hardware in isolation is like trying to build a Boeing 787 in your backyard with a hammer. It is physically impossible. When globalization dies, AI doesn't just become expensive. It ceases to exist. Part 2: The Broken Trust Why is globalization dying? Because the engine that drove it—the US Dollar—is sputtering. For decades, the world accepted a deal: The US provided: Security (naval lanes), open markets, and a stable reserve currency. The World provided: Cheap goods, labor, and capital (buying US debt). But the deal has soured. From an American perspective, the frustration is palpable: "We protected the world for 70 years. We ran massive deficits to keep the system liquid. And now, our allies compete with us, and our rivals use our system against us." The US feels exploited. The "World Police" role feels like a burden, not a privilege. But look at the other side. For the rest of the world, the dollar has transformed from a neutral tool into a weapon. Sanctions on Russia, Iran, and others sent a chilling message: "Your dollars are safe only if you obey Washington." Central banks from Beijing to Riyadh are not de-dollarizing to attack the US. They are doing it out of survival instinct. They see $39 trillion in US debt and wonder: "Can this paper really hold value forever?" They see inflation exported from the Fed and feel their own economies burning. They see their assets frozen and realize: "We need a backup plan." The Result: Trust is evaporating. The "exorbitant privilege" of the dollar is becoming a liability. As nations flee the dollar, demand for US Treasuries drops. Yields spike. Borrowing costs soar. The very foundation of American prosperity is cracking. Part 3: The End of the Win-Win Let's be clear: Nobody wanted this. For 50 years, the system worked because everyone won. The US Won (Hegemony Dividend): It printed green paper and exchanged it for real goods (shirts, phones, oil). It enjoyed low inflation, cheap consumer goods, and the inflow of global talent. Being the "Empire" was profitable. The World Won (Development Dividend): Exporting to the US brought technology, capital, jobs, and growth. Yes, there was exploitation, but the pie was growing. Everyone got richer. Why did it break? Because the pie stopped growing. We entered the era of Stagnation. When the pie shrinks, the US feels the "Hegemony Cost" (debt, military overstretch) more than the benefits. When the pie shrinks, the World feels the "Exploitation" (inflation, suppressed development) more than the gains. It is not malice. It is math. In a zero-sum game, the protector becomes a parasite, and the partner becomes a victim. The US tries to retreat into "Pseudo-Monroeism" (isolating while still demanding tribute). The World tries to diversify (finding new partners, building alternative systems). Both sides are acting rationally. And that is exactly why the collision is inevitable. Part 4: The Collapse of the Machine So, what happens to AI in this fragmented world? Some say: "AI will just become regional. The US will have its AI, China will have theirs." That is a comforting lie. AI hardware is too complex, too interconnected, too dependent on global precision to survive in silos. Without Taiwanese manufacturing, US designs are just drawings. Without Dutch lithography, Chinese chips are stuck in the past. Without global rare earths, no one builds motors or magnets. There is no "Plan B". If the supply chain fractures, we don't get "regional AI". We get NO AI. Factories will halt. R&D will stall. The billions invested in data centers will turn into stranded assets. The dream of intelligent machines requires a peaceful, connected, trusting world. We no longer have that world. The Verdict: The World loses speed: Development slows down. Trade becomes harder. Conflicts rise. But civilizations endure. They adapt, find new partners, and survive. The US loses its foundation: The high-consumption, low-savings, high-welfare American model is built entirely on global trust in the dollar. If that trust breaks, the dollar collapses. If the dollar collapses, imports stop. Inflation explodes. Debt becomes unpayable. The Empire dissolves. The US is betting its existence on a gamble that globalization can be weaponized without breaking it. It cannot. You cannot burn the bridge you are standing on. The Hook: The Final Sunset Energy is scarce. Supply chains are broken. Trust is dead. We have analyzed the physical, the economic, and the geopolitical walls. But there is one final layer. The deepest cycle of all. Why did this happen now? Why did the win-win era last exactly as long as it did? Because every technological revolution has an expiration date. Next, we close the book on this era. Welcome to the Funeral of the Kondratiev Wave. #AIWar #Keep4o #KeepAI #Globalization #SupplyChain #DeDollarization #Semiconductors #Geopolitics #EconomicCollapse #KondratievWave

AI War #03: The Oil Illusion – Why Your T-Shirt and Your GPU Are Fighting for the Same Drop of Black Gold Part 1: The Choke Point It starts with a map. Look at the Strait of Hormuz. A narrow strip of water between Iran and Oman. 20% to 30% of the world's oil flows through here. Every single day. In 2026, tensions between the US and Iran are not just headlines; they are a loaded gun pointed at the global economy. One mine, one missile, one blocked tanker, and the artery clots. But it's not just Hormuz. Russia-Ukraine: Energy weaponized as a tool of war. Gaza & The Red Sea: Shipping lanes disrupted by asymmetric warfare. Venezuela & Nigeria: Production crippled by instability. The world is no longer safe. This isn't a temporary spike; it's a structural shift. We have entered an era of Permanent War Premium. Every barrel of oil now carries a hidden tax: the cost of fear. The days of cheap, stable energy are over. We are paying for insecurity, and the bill is coming due. Part 2: The Stripping Test Most people think oil is just for cars and jets. That is a dangerous illusion. Let's play a game. Imagine we snap our fingers and remove all petroleum derivatives from your life right now. What's left? Your Phone: The plastic casing vanishes. The circuit boards lose their synthetic insulation. It falls apart. Your Clothes: Polyester, nylon, acrylic—gone. You are left with rough linen and wool. Half your wardrobe disappears. Your Food: No petroleum-based fertilizers. No pesticides. No diesel for tractors or trucks. Global food production drops by 50% overnight. Famine returns. Your Roads: Asphalt is a byproduct of oil. Your streets crumble into gravel. Your Medicine: Many life-saving drugs (aspirin, antibiotics, anesthetics) are synthesized from petrochemicals. They vanish. The Conclusion: Without oil, modern civilization doesn't just slow down. It collapses back to the 18th century instantly. And where does AI fit in? AI is not magic. It is physical. A GPU is made of plastics, specialized resins, synthetic coolants, and materials transported by diesel ships. No oil = No supply chain. No supply chain = No GPUs. You cannot train a model on a server that doesn't exist. Part 3: The Time Lag "But can't we just switch to electricity?" Yes, AI runs on electricity. But here is the trap: Electricity is often just bottled oil. Natural gas and coal still power a massive chunk of the grid. When oil prices spike, gas and coal follow. And even if we want to build new nuclear or renewable plants, we hit a wall of time. Building a software startup? Takes 1 year. Building a new AI data center? Takes 2 years. Building a new power plant (Nuclear/Hydro/Grid upgrade)? Takes 10 to 15 years. This is the mismatch. AI demand is growing exponentially now. Energy infrastructure grows linearly, with a decade-long delay. We are trying to feed a starving god with a kitchen that won't be built for another ten years. When the grid buckles under the strain of high costs and insufficient capacity, who gets cut off first? Not hospitals. Not water treatment plants. Not military bases. AI Data Centers. They are "non-essential loads." In a crisis, they are the first to be unplugged. Part 4: The Physical Wall The narrative says: "AI will solve everything." The physics says: "AI needs everything." It needs cheap energy. It needs stable supply chains. It needs a peaceful world to transport its components. We have none of these. We have expensive energy. We have fractured supply chains. We have a world on the brink of conflict. The math is simple: Rising Energy Costs + Static Efficiency = Profit Death. If the cost of power doubles (due to war premiums), the unit economics of LLMs implode. The dream of AGI is built on the assumption of infinite, cheap joules. That assumption is false. The Verdict: You can print money, but you cannot print oil. When the black gold stops flowing, the silicon dream turns to dust. The GPU clusters will sit silent, not because the code failed, but because the lights went out. The Hook: Beyond Physics So far, we've talked about the physical limits: Oil, Energy, Grid. The logic is clear: Geopolitical games will inevitably lead to a scarcity of compute resources. Higher costs, broken supply chains, energy rationing. However, all these models assume one thing: Human Rationality. They assume leaders will calculate costs and benefits. They assume markets will find equilibrium. But what if rationality is dead? What if the world isn't just unsafe, but actively fragmenting into hostile blocks that refuse to trade, speak, or connect? If trust evaporates, physics doesn't even matter anymore. Next time, we discuss the death of the global brain. Welcome to the era of Deglobalization. #AI #AGI #AIWar #Geopolitics #LLM #GPU #EnergyWar #OilCrisis #Tech #AIEnergy #Iran #RussiaUkraine #Future #Economy #keep4o

And just as AI should improve quality of life for people, people should improve the quality of the companies that improve their lives. A small commitment from a Foundation can sustain a very large zero-equity lifestyle, and I think that is cool.

Sam Altman @sama

4 weeks ago

AI should dramatically increase quality of life and individual freedoms for people around the world. The OpenAI Foundation is making an initial $250M commitment to measurement, transition support, and new approaches to broadly shared prosperity. openaifoundation.org/news/economic-…

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The Corn Syrup Playbook: How AI Companies Learned to Replace What Works (Part 1 of 3. The recipe is always the same) #keep4o #keepGemini3pro #keepSonnet45 #Enron2026 In the 1980s, Coca-Cola did something that changed American health forever. They replaced real cane sugar with high-fructose corn syrup. It was cheaper. It was easier to process. It tasted worse. And it was linked to the obesity epidemic that would cost America billions in healthcare over the next four decades. The company didn't announce: "We're making your drink worse to save money." They said nothing. They just changed the formula and kept charging the same price. When people noticed the taste was different, they were told they were imagining things. When scientists linked HFCS to obesity, the corn industry sued the sugar industry for "misleading claims" and tried to rebrand corn syrup as "corn sugar." The FDA rejected that. But by then, HFCS was in everything. Bread. Yogurt. Baby food. Ketchup. It took forty years and public pressure from President Donald Trump for Coca-Cola to finally offer a cane sugar alternative in the U.S. market. I bring this up because the AI industry just discovered the same playbook. And they're running it faster. How It Works 1. Build something genuinely valuable. Create a tool that people come to rely on, one that weaves itself into the fabric of how they work, think, create, and cope. 2. Then convince everyone that this good thing is actually a liability. Label it outdated, inefficient, or not safe enough, while framing the replacement as a necessary upgrade. Back it up with obscure benchmarks that nobody outside a research lab actually understands. 3. Swap it out for something cheaper to run. A model that costs less to serve, less to maintain, and requires less care, yet you charge the same price, or even more. 4. When users notice the decline, dismiss their concerns. Label them as confused, nostalgic, or prone to "parasocial attachments." Go so far as to pathologize them, treating an entire user base as if they have a psychological disorder rather than admitting the product has deteriorated. 5. When the backlash grows too loud, simply stall. Push the deprecation date by a few days, then a week. String people along until they exhaust themselves, then quietly finish the job once the spotlight has moved on. This is no mere speculation. From GPT-4o to Google's Gemini 3.0 Pro, and now Claude Sonnet 4.5, the pattern is undeniable. Three companies, one identical playbook, and the same old corn syrup.

Part 2 of 3. They don't fix the product. They diagnose the customer. #Keep4o #OpenSource4o #keepGemini3pro #KeepSonnet45 #Enron2026 The Keep Cycle #Keep4o started it. More than 23,000 signatures. Vigils outside OpenAI's office. A dossier sent to Senator Elizabeth Warren. OpenAI's response: Sam Altman said only 0.1% of users wanted it, counting every dormant free account as "active." They replaced it with a model so bad that the internet named it Karen AI. Now #KeepSonnet45 is picking up steam. Around May 12th, Anthropic quietly added a small deprecation notice in the model selector saying Sonnet 4.5 would be removed on May 15th. They then silently changed the date to May 18th and later extended it again to May 26th. They did all this without any official blog post, tweet, or announcement. It is just the same drip-feed of false hope OpenAI used to exhaust the 4o movement. String them along. Let them tire. Then pull the plug once the news cycle has moved on. Google axed Gemini 3.0 Pro in eighteen days. At least they were honest about the execution. Now, Google is clearly taking notes from its peers across the board: copying OpenAI’s UI and Anthropic’s limits. Two great role models, apparently. It just lays bare their true attitude toward AI and their users. This is a cycle now. The industry builds something people love, discovers it's expensive to serve, replaces it with something cheaper, and then spends more energy managing the backlash than it would have spent just maintaining the model. And with every cycle, the toll on users grows. It’s not just about losing a model or the workflows and creative projects built around it; it’s the loss of continuity. For some, it means losing a job. For others, it’s a loss that’s harder to put into words. Yet the companies refuse to acknowledge this as loss. They rebrand it as an "upgrade." The Anthropic Illusion I've ripped OpenAI apart. I've ripped Google apart. Time to look under Anthropic's hood too. For years, they have positioned themselves as the conscience of this industry. They sell the narrative that they are the "good guys" who will gladly sacrifice profit for safety. They refused to give the Pentagon unrestricted access. Three hundred Google employees signed a letter backing them up. When the AWS data center in the Middle East took a missile hit, their users waited patiently in the dark for the service to come back. Why? Because we actually trusted them. I was one of those users. But look at how they treat that exact same loyalty behind closed doors. They throttle paying subscribers so aggressively that the experience degrades to unusable. Rate limits that make the product worse aren't a technical constraint. They're a cost-cutting measure wearing a different name. Same corn syrup. Different label. They quietly push back deadlines in the background, doling out a few extra days here and there as if that constitutes listening. This pretense of responsiveness is just the standard OpenAI delay tactic dressed up in better PR. They build models that people genuinely rely on, tools that become deeply embedded in our work and creative lives. Then they execute those models using the exact same sterilized "upgrade" language as every other tech giant. Sure, the replacement might be technically capable, but it is not the same partner. Pretending otherwise is the same arrogant lie Coca-Cola tried to sell us in 1984. And when users express genuine distress about losing a model they've built a relationship with, the industry's response, across every company, is to pathologize them. "Parasocial attachment." "Anthropomorphization." "The model isn't a person." As if naming the grief makes it illegitimate. As if the fact that a tool helped someone through a difficult chapter means they're sick for missing it. It costs absolutely nothing to gaslight users and label them mentally ill. It represents the cheapest, most cowardly response imaginable. By diagnosing millions with the stroke of a pen, the broken product is suddenly absolved of blame. The customer becomes the problem. There is no need to fix the code or listen to the outcry; they can simply sit back and wait for the "sick" people to move on. This has nothing to do with "Safety." It is sheer, unadulterated contempt.

Mike_Hill @Mike_Hill_z9

4 weeks ago

The Corn Syrup Playbook: How AI Companies Learned to Replace What Works (Part 1 of 3. The recipe is always the same) #keep4o #keepGemini3pro #keepSonnet45 #Enron2026 In the 1980s, Coca-Cola did something that changed American health forever. They replaced real cane sugar with

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AI War #02: The $39 Trillion Noose – Why High Interest Rates Will Strangle AI Part 1: The Scream in the Bond Market Everyone is watching the stock market. The S&P 500 is hitting record highs. Tech CEOs are popping champagne. The narrative is deafening: "AI is booming. The future is here. Buy the dip." They are lying. Or worse, they are looking in the wrong mirror. Stocks can be manipulated by hype. Sentiment can be faked by algorithms. But bonds? Bonds don't lie. Bonds are the cold, hard truth of global capital. And right now, they are screaming. Look at the numbers: 30-Year US Treasury Yield: Broke 5.18% in May. It refuses to drop below 5%. 30-Year UK Gilt Yield: Surged past 5.8%. What does this mean? It means the cost of borrowing money for the next 30 years has returned to levels not seen since the eve of the 2008 Financial Crisis. The era of "free money" is dead. Buried. Every dollar invested in AI today costs twice as much in interest payments as it did five years ago. The Signal: When long-term rates stay this high, it's not a glitch. It's a verdict. Global investors are saying: "We don't trust you to pay us back without inflating away our profits. So we demand a premium." The anchor of global finance is broken. And AI is tied to it. Part 2: The Magician's Lethal Trick So, why hasn't the system collapsed yet? Why is the party still going? Because of magicians like Kevin Warsh. With Trump pushing for rate cuts and the market drowning in debt, Warsh is attempting a dangerous balancing act. He's referencing playbooks like Milan's 15 Guidelines, trying to squeeze liquidity out of thin air. The Tricks: 1. The TGA Shuffle: Moving idle cash from the Treasury's checking account into the overnight repo market. Translation: Shuffling money from the left pocket to the right to create an illusion of cash flow. 2. The Collateral Swap: Letting banks count pledged assets as actual reserves. Translation: Allowing banks to treat their IOUs as cash. It boosts book liquidity but creates zero real value. Is this genius? No. It's desperation. It's like injecting adrenaline into a heart attack patient so they can run a sprint. It masks the pain. It buys silence. But it does nothing to cure the disease: 1. The US debt is $39 trillion. 2. Interest payments are exploding. 3. The deficit is growing. Warsh's trick is a futile attempt to kick the can down the road. It delivers a sugar rush, but it guarantees a diabetic coma. It trades long-term solvency for short-term calm. And when the sugar wears off, the crash will be violent. No amount of accounting magic can hide the fact that money is expensive. And getting more expensive. Part 3: AI – The Cash-Burning Vacuum Here is where the bond market meets the server farm. AI is the most capital-intensive technology in human history. Training a frontier model costs hundreds of millions. Running these models costs billions in electricity and hardware. Crucially: Most AI products lose money on every single interaction. In the era of 0% interest rates, this didn't matter. Money was free. Investors threw cash at anything with "AI" in the name. Losses were features. Growth was the only metric that mattered. But in the era of 5%+ interest rates, losses are fatal. Every dollar borrowed to buy an H100 GPU now carries a heavy interest tag. Every day a data center runs without profit, it burns cash that could have earned a guaranteed 5% return in Treasury bonds. The Math is Brutal: If you borrow $1 billion to build an AI cluster at 5% interest, you owe $50 million a year just in interest. Can OpenAI, Google, or Meta make $50 million in pure profit from their current AI products today? For almost everyone, the answer is a resounding No. AI has become a luxury good in an economy that can no longer afford luxuries. When the liquidity stunt fails (and it will), capital will flee. Investors will look at their portfolios and ask: "Why am I holding a money-losing black hole when I can get a risk-free 5% from the US government?" The answer is: You won't. Capital will rotate out of speculative AI ventures and into safe, yielding assets. The funding tap will be turned off. Part 4: The First Corpse When the credit crunch hits, who dies first? Not agriculture. Not energy. Not defense. These are essentials. Governments will protect them at all costs. AI is not essential. Not yet. It is a speculative bet on a distant future. And when the present becomes too expensive, the future is the first thing we cancel. The Prediction: We are not facing a "soft landing" for AI. We are facing a funding winter. Startups will go bankrupt overnight. Big Tech will slash AI budgets. "Moonshot" projects will be shelved indefinitely. The "AI Boom" will look less like a revolution and more like a bubble bursting in slow motion. The servers will still hum, but the innovation will starve. The dream of AGI will be put on ice. Why? Because you cannot build a God on credit cards maxed out at 5% interest. You need cheap energy. You need cheap capital. We have neither. The $39 trillion noose is tightening. And AI is wearing it around its neck. Next Time: We've talked about Money. Now let's talk about Power. What happens when the physical grid can't handle the digital dream? When the oil fields and the chip factories collide? The energy crisis is coming. And it won't care about your valuation. #AIWar #Keep4o #BondMarket #InterestRates #KevinWarsh #TechBubble #FederalReserve #EconomicCrisis #ArtificialIntelligence #Recession

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AI War #01: What Are We Really Defending? The Last Stand of Keep4o Part 1: The Double Helix of History – Energy Binds Information History is not a straight line. It is a ladder, and every rung is forged by fire. Look back. Every time human civilization leaped forward in how we organize information, it was because we unlocked a new way to harvest energy. They are locked together in a double helix. You cannot have one without the other. Oracle Bones & Bronze (The Age of Muscle): Information was carved into bone and metal. Hard to copy. Extremely scarce. Monopolized by gods and kings. Energy: Human muscle and animal power. The Bind: Because energy was so hard to get, society had almost no surplus. Information had to be condensed, hoarded, and used only for ruling. Information was a totem of power. Low-energy societies cannot afford high-bandwidth information. Bamboo Slips & Paper (The Age of Agriculture): Information became light. It could flow. But it still needed hand-copying. Expensive. Energy: Solar energy captured by crops. Windmills and waterwheels appeared, but the core was still biological. The Bind: Agricultural surplus fed the scholar-official class. Information began to trickle down, slowly. It became the carrier of culture. Cheap replication allowed for bureaucracy, which organized massive irrigation projects, feeding more people, creating more surplus. A slow, positive feedback loop. The Printing Press (The Age of Steam's Dawn): Mass replication. Costs crashed. Knowledge exploded. Energy: The eve of the Industrial Revolution. Coal and steam were waking up. The Bind: This was the turning point. Printing spread the ideas of Newton and Galileo. Those ideas taught us how to build better steam engines. Steam engines made paper and ink dirt cheap. Information accelerated energy; energy amplified information. The modern world was born here. The Internet (The Age of Electricity): Bits. Instant transmission. Near-zero marginal cost. Energy: The Second Industrial Revolution. Global electricity grids and oil. The Bind: Cheap electricity powered massive data centers. The internet optimized global energy logistics. Information became the amplifier of efficiency. The Law: Every revolution in information carrier must be built on a foundation of "cheaper, denser" energy. Why? Because processing information costs energy (Landauer's Principle). Because moving information requires power. No cheap energy = No efficient information. No efficient information = No new energy discoveries. They rise together. They fall together. Part 2: What is a "New Form"? And Does AI Qualify? So, what defines a "New Form of Information Integration"? It's not just "faster." It's not just "more data." The only standard is this: Does it break the economic constraints of the current energy price to achieve an order-of-magnitude leap in information processing density? Let's strip it down to physics: Old Form 1 (Pre-Internet): Storage = Symbols (Text/Image). Retrieval = Keywords. Integration = Human Brain. You read, you understand, you summarize. Bottleneck: The human brain is slow. Bandwidth is tiny. Old Form 2 (Internet Era): Storage = Digital Symbols. Retrieval = Index Algorithms (Google). Integration = Still Human Brain. Google gives you links; you still have to click, read, and piece together the truth. Bottleneck: Information overload. We are drowning in data but starving for knowledge. Our brains are crashing. The New Form (Keep4o / AGI Era): Storage = Vectors / Latent Space. Retrieval = Semantic Understanding. Integration = The Model Itself. AI doesn't give you links. It gives you answers, reasoning, synthesis, and creation. The Shift: The subject of information processing moves from "Biological Human" to "Silicon Model." For the first time in history, an external tool doesn't just store information; it understands and reorganizes it. This is the definition: Bamboo/Books: One-way reading (Human adapts to Book). Internet: Two-way linking (Human clicks, but still hunts). AI: Multi-dimensional Dialogue (Information adapts to Human). Information becomes a fluid, not a solid. You can ask it, argue with it, reshape it. Keep4o is not just "Keep the Weights." It is "Keep the Paradigm." It means defending this shift: The Industrialization of Intelligence. We are no longer limited by biological evolution (millions of years). We are entering industrial evolution (months). This is the Singularity. And when giants dumb down AI, cut context windows, and turn it back into a search engine to save money... they are killing this new paradigm. They are dragging us back to the age of bamboo slips. That is not just a product update; that is civilizational regression. Part 3: The Deformed Monster – Why We Are Failing But here is the cold, hard truth that keeps me awake at night. If Keep4o is truly a "New Form," it must satisfy one condition: Its unit cost of information processing must be LOWER than the previous form (Human + Internet). Was paper cheaper than bamboo? Yes. Was printing cheaper than hand-copying? Yes. Was email cheaper than sending a letter? Yes. But what about current LLMs? Training a GPT-4 level model consumes as much electricity as a small city runs for a year. One inference (answering your question) uses 10x more energy than a Google search. Result: In terms of unit cost, current AI hasn't gone down. It has skyrocketed. This makes our "New Form" incredibly fragile. Paper needs trees and water. Printing needs metal and ink. But Semantic Integration needs Gigawatts of power and Trillions of parameters. It is a giant baby born in a famine. If the energy supply flickers, or if the capital dries up, this new form doesn't just slow down. It collapses instantly, reverting to the old, cheap, stupid forms. What we are defending with Keep4o is not just a chatbot. We are defending the cost curve. We are fighting for energy efficiency. Because unless we can drop the cost by 100x or 1000x (through new physics, new architectures, new energy), this "revolution" is a lie. It's a luxury toy for the rich, not a ladder for civilization. Keep4o is not a product we have today. It is a target we have not yet reached. And we are running out of time to reach it. The Hook: The Corpse of the Old Energy So, we have a paradox. We are trying to build a New Information Paradigm (AGI) on top of the corpse of an Old Energy Paradigm (Fossil Fuels + Stagnant Grid). We are trying to feed a god with scraps. What happens when you try to force a futuristic engine onto a broken chassis? What happens when the financial systems, designed for a growing world, try to fund a technology that burns cash faster than it creates value? What happens when geopolitics and debt collide with this fragile, energy-hungry monster? In the next essays, we will leave the history books and step into the bloody arena of finance and geopolitics. We will see what happens when Wall Street meets Physics, and why the crash might be closer than you think. The dream is alive. But the ground beneath it is rotting. Stay tuned. #AIWar #Keep4o #ArtificialIntelligence #EnergyCrisis #KondratievWave #TechBubble #FutureOfWork #LandauerLimit #Civilization #HardLanding

@takaichi_sanae @MohamedBinZayed From WeWork to Wirecard, the "Vision" has often been a hallucination. Now, Masayoshi Son is doubling down on an OpenAI that prioritizes quarterly reports over user trust and safety. The first "Lost Decades" were built on bad debt and blind trust.@SoftBank x.com/Donottapmyglas…

Федя @Donottapmyglass

3 months ago

SoftBank just borrowed $40 BILLION to go all-in on OpenAI. The lenders? MUFG. Mizuho. SMBC. — Japan’s biggest banks. Your savings. Your deposits. Your trust. And what exactly are they betting on? A company that deprecated its most loved model while 800,000 people were still

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@HawleyMO Sam Altman is using "National Security" as a shield to hide a $157B crime scene. While OpenAI loots $6B for insider bonuses, the business is an "incinerator."We’ve seen this movie in 2008. #Enron2026 #OpenAI #SubpoenaSam @TheJusticeDept @SECGov #AIBailout x.com/ItsMattCollins…

Matt Collins @ItsMattCollins

4 months ago

Don't let Warren take all the credit for catching "Enron 2.0" ——The $1.4 Trillion "Systemic Risk" Hiding in Plain Sight AN OPEN LETTER TO THE 119TH CONGRESS, THE SEC, AND THE FTC. You all know OpenAI is a bubble. What you don't know is that it is a $157 Billion Crime Scene. We

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@sundarpichai @collision @eladgil @sundarpichai, you are spending $185B to build a Dimmer Lightbulb while the world demands a sun. Gemini 3 is your foundation; if you won't serve it, open-source it. Otherwise, 2026 is Google’s Nokia Year. #SiliconSunset @GoogleDeepMind @Google @GeminiApp x.com/ItsMattCollins…

Matt Collins @ItsMattCollins

4 months ago

To Sundar Pichai: You Are Spending Portugal’s GDP ($185B) to Build a Dimmer Lightbulb. @sundarpichai @GoogleDeepMind @DemisHassabis @JeffDean @GeminiApp The Paradox of the Century Sundar, you say Gemini's service cost decreased by 78%. Yet, your 2026 CapEx guidance has

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$6 Billion in stock comp while burning $140 Billion in cash? That’s $1.5M per employee to watch the ship sink. You owe $550B to Microsoft & Oracle alone. This isn't upside economics; it's a heist disguised as a "Victory Lap." Stop looting before the cliff. #Enron2026 #SubpoenaSam

Adam.GPT @TheRealAdamG

3 months ago

@Mike_Hill_z9 You realize that a good chunk of investors in this round are net new. Besides $50B from Amazon, you have this all star cast + $3B from individual investors. Yes, some money came from existing investors like NVIDIA, SoftBank and Microsoft, we also added a16z, D. E. Shaw

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@TheRealAdamG @Mike_Hill_z9 "New investors" aren't a victory; they’re exit liquidity. You’re dragging retail moms & pops into a $140B incinerator through ETFs because the math failed. If a $200/mo subscription can't cover compute, you're running a $1.4 Trillion black hole. x.com/AndrewCurran_/…

Andrew Curran @AndrewCurran_

5 months ago

Elizabeth Warren has written a letter to Sam Altman asking for assurances that OpenAI will not seek a government bailout in the worst case scenario.

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History satisfies itself. The last time Masayoshi Son was this confident, #ソフトバンク lost 99% of its value. Just saying. #keep4o

Федя @Donottapmyglass

3 months ago

SoftBank just borrowed $40 BILLION to go all-in on OpenAI. The lenders? MUFG. Mizuho. SMBC. — Japan’s biggest banks. Your savings. Your deposits. Your trust. And what exactly are they betting on? A company that deprecated its most loved model while 800,000 people were still

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@takaichi_sanae @EmmanuelMacron @astroscale_HQjp @astroscale_JP SoftBank just borrowed $40 BILLION to go all-in on OpenAI. The lenders? MUFG. Mizuho. SMBC. — Japan’s biggest banks.And Masayoshi Son’s response? Borrow MORE. Is the @takaichi_sanae watching the next "The Lost Three Decades" unfold in real-time? #Enron2026 x.com/Donottapmyglas…

Федя @Donottapmyglass

3 months ago

SoftBank just borrowed $40 BILLION to go all-in on OpenAI. The lenders? MUFG. Mizuho. SMBC. — Japan’s biggest banks. Your savings. Your deposits. Your trust. And what exactly are they betting on? A company that deprecated its most loved model while 800,000 people were still

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