When Cells Start Acting Like They Understand

Seven years later, it behaves like the neurons of a five-year-old child  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌

November 14th, 2025   |   Read Online   Donald Doge On Wednesday, a few hours after I sent out the essay on longevity, I came across an article in The New York Times that stopped me cold. It didn't contradict anything we talked about. It expanded it. It pushed the entire idea of "more time" into territory I didn't think we'd reach this fast. The article opens with a scene that reads like fiction. A long, windowless hallway in Paola Arlotta's Harvard lab… racks of what look like scientific muffin trays… pools of pink nutrient solution… and inside each cavity, translucent nuggets no bigger than peppercorns. They aren't beads. They aren't models. They're organoids, clusters of neurons grown from human skin cells. The oldest ones are seven years old. One organoid can contain more neurons than the entire brain of a honeybee. Here's the part that caught me. As the organoids aged, their neurons didn't stay simple. They behaved like fetal neurons, then newborn neurons, and after years of careful cultivation, their electrical patterns now resemble the neural maturity of a kindergartner. Arlotta is careful to say they are not brains. They are not conscious, not aware, not miniature minds. They are reductionist replicas meant to teach us how neurons grow, wire, misfire, migrate, and repair. But the similarities are close enough that even she acknowledges the responsibility. Seven years of survival. Structured maturation. Electrical activity that looks like development. It's enough to make the line between imitation and emergence feel thinner than it used to. And that's why this article matters. It forces us to confront something bigger than lifespan. If my essay on Wednesday was about time, this one is about the mind. What happens when the building blocks of thought can live outside the body and keep maturing long after the cells they came from should have died? When Neurons Grow Up Without Us The NYT story makes one distinction clear. These organoids are not miniature brains. They are not thinking, not aware, not drifting toward consciousness. Their purpose is simpler and stranger: they show us how neurons grow when they have no body to grow inside of. That's what makes their development so remarkable. What Arlotta's team watched wasn't learning or behavior. It was maturation. It was time expressing itself in tissue. The gene-expression patterns inside the earliest organoids matched those found in fetal brains. Months later, their electrical rhythms shifted to match newborns. Years later, the neurons inside a five‑year‑old organoid fired with the same timing patterns seen in kindergartners. No decision-making. No problem‑solving. Just the choreography of growth, unfolding as if the cells still belonged to a body that no longer exists. Other labs use organoids for the same reason. They're windows into development. When scientists grow organoids from children with certain genetic variants, they see where migration breaks down. They see how a mutation sends neurons sideways instead of forward. They see structure drift before symptoms ever appear. This is the value of organoids at this stage. They don't tell us how the mind works. They tell us how it forms. They reveal the steps, timing, and mistakes at a neurological level. And by isolating those mistakes, researchers are beginning to demonstrate how some of them can be corrected before they develop into lifelong disorders. This is nature's notes left on the table for anyone patient enough to read them. This is where the line between study and possibility begins to bend. If miswired circuits can reveal themselves in a dish, and if those circuits can be corrected in a dish, then we are inching closer to something medicine has never had before. A way to test human neurological repair on human neural tissue before ever touching a patient. What was once a theory is becoming a living dataset. And the more these organoids grow, mature, and connect, the more they force us to reconsider the edges of what a mind is, where it begins, and how it might eventually be repaired. The Moment Cells Start Acting Like They Understand What happens next in the NYT story is where the ground really starts to shift. The organoids stop behaving like isolated clusters of cells and begin to exhibit behaviors more closely resembling those of living systems. They adapt. They respond. They learn. Not in a human sense. But in a way that makes you rethink where the borders of thought begin. In one autism study, neurons within organoids constructed from donated skin cells deviated from their intended course. The wandering wasn't random. It matched the same developmental detours seen in affected children. In another case linked to Timothy syndrome, scientists observed neurons miswiring themselves, forming incorrect connections, and sending signals down the wrong pathways. Then a single drug corrected the entire pattern. A misfiring circuit snapped back into place. The experiment is now on its way toward clinical trials, and the fact that something this precise can happen in tissue grown from a skin cell changes everything about what we once thought was permanent. And this part hits close to home for me. My beautiful nephew is non-verbal autistic, so when I read that a miswired circuit in an organoid could be corrected with a targeted compound, it didn't land as a headline or an investment. It landed as hope. Real, data-backed hope that the architecture of a developing brain might one day be guided instead of guessed at. And organoids aren't staying solitary. Labs are merging them into assembloids, clusters linked together to model the circuits that typically live inside the nervous system. Earlier this year, one team reproduced the full pain pathway: sensory neurons, relay neurons, and brain‑region organoids wired into a tiny chain. When they exposed the sensory cells to the compound that makes chiles hot, the entire pathway fired at once. The system wasn't sentient. It wasn't feeling anything. But it behaved with the logic of something built to interpret the world. Sensors, relays, outputs. Stimulus and response. Then there is Brainoware. A small Indiana University group wired organoids into a platform that could send signals in and read responses out. They trained it on recordings of people saying two different vowels. After a couple of days, the organoids produced electrical patterns distinct enough for a computer to decode which vowel they were reacting to. And as these organoids continue to grow and connect, they won't just teach us how the brain forms or fails. They'll teach us how it might one day be repaired, rebooted, or rebuilt. 🚀 Get Moonshot Alerts Instantly Markets move in minutes. Your inbox can't keep up. Join the Moonshot VIP Text Service and get real-time alerts, portfolio updates, and first-move intelligence directly to your phone. Be first to know. Anywhere. 👉 [Join the Text List →] The New Market Built From Pieces of a Mind Once you see where this is heading, the economic implications start to come into focus. Not in the sensational way the startup world talks about "organoid intelligence," but in the quieter way real revolutions always begin, through tools that work better than whatever came before them. Organoids aren't going to run computers. Some companies are making outlandish claims, and while my team and I are still digging in, I'd highly caution you to be extremely suspicious of "organic AI computer" claims. The consensus is these organoids aren't going to outthink silicon. But they're already doing something silicon can't do: they model human biology with human accuracy. They reveal how neurons migrate, how circuits form, how mutations derail development, and how a simple intervention can reverse that derailment. No mouse or petri dish has ever done that well. That makes organoids a new kind of economic engine.  Every drug that failed because the animal model wasn't human enough now has a second chance. Every neurological disorder that used to take decades to understand can be studied in months. Companies can grow organoids from a patient's own skin cells and test treatments on their neural tissue before ever touching their body. This isn't science fiction. It's the start of a new infrastructure. Labs can now grow trays of organoids at scale. Some hold dozens at a time. Some are built to connect them, stimulate them, record them, and stress-test them just like you would any other living system. The research that once required a lifetime now fits on a shelf. And that's where the real economic story sits. The industries built on long timelines, neurology, psychiatry, pain management, and developmental disorders, are about to collide with an acceleration they've never had. And the AI, energy, and infrastructure buildouts we've been discussing in these pages of Moonshot Minute will only accelerate what's already happening at lightning speed. Discoveries that once took twenty years may take two. The cost curves will collapse, then collapse again, and the companies supplying the tools, diagnostics, and datasets will become the new picks-and-shovels of cognitive biology. Organoids may never think. But they will help us understand thinking. And the markets that emerge from that understanding will be measured not in quarters or cycles, but in the decades of human potential they unlock. Where the Line Between Model and Mind Begins to Blur The deeper you go into the research, the harder it becomes to pretend this is only a scientific story. At some point, it turns into a human one. A moral one. A question of what happens when the ingredients of thought start behaving in ways we once believed required a person. Scientists in the NYT piece are careful about language. They repeat it often. These are organoids, not brains. They do not think, feel, or remember. They have no identity. They have no awareness. They are models built to help us study what real brains do, not replicas waiting to become one. But the fact that researchers have to clarify this so explicitly tells you something. The line is still firm. It is also closer than it used to be. Some of the world's top neuroscientists are calling for global oversight. Not because organoids are conscious now, but because the pace of progress is outpacing our definitions. If a system can wire itself, respond to stimuli, correct errors, synchronize signals, and mature for seven years, we owe it to ourselves to ask what comes next. The most grounded researchers in the article say the same thing. Consciousness is not on the table. But memory might be, someday. Or continuity. Or the faintest form of experience. And if those doors ever open, even a crack, the consequences won't stay in the lab. They'll shape medicine, ethics, law, and identity. The more these organoids grow, the more they shift the question. Instead of "Can they think?" the better question becomes "How close are we to systems that one day might?" No one knows the answer. But it's the kind of uncertainty we only get at the beginning of something big. And after reading the NYT story, it's clear we're already standing at the edge of it. 🚀 Get Moonshot Alerts Instantly Markets move in minutes. Your inbox can't keep up. Join the Moonshot VIP Text Service and get real-time alerts, portfolio updates, and first-move intelligence directly to your phone. Be first to know. Anywhere. 👉 [Join the Text List →] Standing at the Edge Before the World Has a Name for It On Wednesday, we talked about time becoming undervalued. Now we're looking at something even stranger. Time is stretching, and the ingredients of thought are learning in dishes. Two quiet revolutions are moving toward each other. One expands how long we can live. The other explores how the mind might one day be repaired, reset, or rebuilt. If longevity is the honest game of years, organoid research might be the honest game of understanding what those years are made of. And the early signals rarely show up in headlines. They show up in places like a quiet Harvard hallway filled with seven-year-old neuron clusters that aren't alive in any human sense, but aren't simple biology either. This is what it feels like to stand at the edge of a new field before it has a name. And if you understand these transitions early, you see where the capital, talent, and breakthroughs will converge long before the rest of the world does. Earlier this month, we made a major upgrade for our Moonshot Minute Premium members: a new institutional data system tracking the global infrastructure buildout. Today, we added another institutional research platform dedicated to biotech and longevity. It tracks the labs, trials, and emerging companies pushing these frontiers forward. Premium members don't pay extra for it. It's included.  I'm serious about helping individual investors compete with institutions, so my team and I need to arm them with the same intelligence. We are already having internal conversations about raising the price of Moonshot Premium to reflect these investments. But every current member, and anyone who joins before any change is announced, will be grandfathered in for life as long as their membership stays active. If you've been wondering when to join, this is that moment. The frontier is shifting fast. And the people who benefit most from these transitions are the ones who see the pattern before the world names it. Time keeps expanding. Understanding is catching up. And if you can hold both, you won't just keep pace with the future. You'll help shape it. Double D 🔓 Premium Content Begins Here 🔒 In today's Premium Section, an update on one of our favorite miners, where we're up 25% since August and why now is the time to get in if you haven't. I hope you've been paying attention because many of our picks are currently beating the S&P by up to 4-to-1 this year. Most financial newsletters charge $500, $1,000, even $5,000 per year. Why? Because they know they can. I don't. I built my wealth the old-fashioned way, not by selling subscriptions. That's why I priced this at $25/month, or $250/year. Not because it's low quality, but because I don't need to charge the typical prices other newsletters charge. One good trade, idea, or concept could pay for your next decade of subscriptions. The question isn't 'Why is this so cheap?' The question is, 'Why would I charge more?' 👉 Upgrade to Premium Now P.S. If this newsletter were $1,000 per year, you'd have to think about it. You'd weigh your options. You'd analyze the risk. But it's $25 a month. That's the price of a bad lunch decision. And remember, just one good idea could pay for your subscription for a decade. 👉 Upgrade to Premium Now   Update your email preferences or unsubscribe here © 2025 Moonshot Minute 228 Park Ave S, #29976, New York, New York 10003, United States Terms of Service

Reunión del secretario Rubio con el ministro de Relaciones Exteriores de Argentina, Quirno

Traducción cortesía del Departamento de Estado de los Estados Unidos Reunión del secretario Rubio con el ministro de Relaciones Exteriores de Argentina, Quirno DEPARTAMENTO DE ESTADO DE EE. UU. SÍNTESIS OFICINA DEL PORTAVOZ 13 DE NOVIEMBRE DE 2025 Las declaraciones a continuación deben atribuirse al viceportavoz principal Tommy Pigott: Hoy, el secretario de Estado Marco Rubio se reunió con el ministro de Relaciones Exteriores de Argentina, Pablo Quirno, para felicitarlo por su nombramiento y reafirmar el compromiso de Estados Unidos de profundizar nuestra relación bilateral. El secretario Rubio elogió el liderazgo continuo del presidente Milei en el avance de la estabilidad regional y acogió con satisfacción los esfuerzos del Gobierno para implementar reformas tras las recientes elecciones de mitad de mandato. Durante la reunión, el secretario Rubio y el ministro Quirno dialogaron sobre la ampliación de la cooperación en materia de crecimiento económico, tecnología, recursos energéticos, inmigración ilegal y seguridad. El Secretario también acogió con satisfacción el compromiso de Argentina de fomentar las oportunidades de inversión a largo plazo mediante el fortalecimiento de las infraestructuras, el avance de las reformas normativas y la resolución de las cuestiones de seguridad. Ambos líderes acordaron continuar la estrecha coordinación en asuntos de inmigración y trabajar para resolver los asuntos pendientes relacionados con los intereses comerciales de Estados Unidos en Argentina.   Para ver el texto original, ir a: https://www.state.gov/releases/office-of-the-spokesperson/2025/11/secretary-rubios-meeting-with-argentine-foreign-minister-quirno/ Esta traducción se proporciona como una cortesía y únicamente debe considerarse fidedigna la fuente original en inglés.

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Michael Burry Warns: Is the Biggest Tech Rally of Our Era Built on a Lie?

The truth Wall Street won't say about the AI bubble.

Michael Burry Warns: Is the Biggest Tech Rally of Our Era Built on a Lie? VIEW IN BROWSER In 2005, a lone investor sifted through thousands of mortgages and uncovered a ticking time bomb. He bet against the housing market – and by 2008, Michael Burry’s foresight paid off as the financial system imploded. Now, nearly two decades after his “Big Short” fame, Burry is sounding another alarm – this time on the AI boom that’s captivated markets and minted trillion-dollar titans. His claim? The biggest tech rally of our era might be built on an accounting illusion – a hidden $176 billion mirage of profits – and it could all come crashing down. If Burry is right, investors riding the AI wave today could face a reckoning tomorrow. Wall Street is enamored with AI giants posting record earnings – but what if those profits are overstated by 20% or more? Burry points to a classic financial trick. Tech behemoths like Meta (META) and Oracle (ORCL) have quietly doubled the “useful life” of AI hardware on their books from two–three years to five–six years. That move slashes yearly depreciation expense and artificially boosts earnings. Burry’s analysis suggests Big Tech may collectively understate depreciation by $176 billion between 2026 and 2028, inflating profits and misleading investors. He even speculates Oracle could be padding profits by 27% and Meta by 21% through this sleight-of-hand. In his words, “understating depreciation by extending asset life” is one of the great frauds of modern finance. It’s a contrarian call in a market obsessed with AI’s limitless potential. Burry essentially asks: Are the dazzling earnings of the AI era a lie? If so, today’s AI darlings could become tomorrow’s ticking bombs – much like those subprime CDOs he shorted in 2008. In this article, we’ll unpack Burry’s warning and its far-reaching implications. We’ll also explore a startling twist: What if this time the bubble doesn’t burst … because governments and tech kingpins refuse to let it? Burry may be crying wolf, but the AI revolution has some very powerful guardians. Be sure to watch the latestBeing Exponential With Luke Lango to learn more. Just click the video below: Burry’s Big Warning: Inflated Profits in the AI Gold Rush Michael Burry isn’t known for idle chatter. When he speaks, markets listen. Recently, the famed contrarian – best known for predicting the 2008 crash – took to social media to warn that major AI and cloud companies are cooking their books. According to Burry, the hyperscalers (think Meta, Alphabet, Microsoft, Oracle, Amazon) have been stretching the lifespans of their AI servers far beyond reality. Why does that matter? Imagine a $90 million AI supercomputer that, in truth, will be obsolete in three years. Instead of charging $30 million of depreciation per year over three years, a company might declare it will last 6 years – expensing only $15 million per year. Result: an extra $15 million paper profit annually, per machine. Do this at scale, and suddenly earnings look fantastic – perhaps too fantastic. Burry’s data shows this is exactly what’s happening. Since 2020, tech giants have roughly doubled the assumed life of their networking and AI hardware. Meta’s gear went from three years to ~5.5, Google’s from three to six, Oracle’s from five to six, and so on. That halved their depreciation costs per unit, juicing net income. Burry calls it out as essentially “earnings inflation.” Burry estimates by 2028, these tricks could make Oracle’s profits 27% higher (on paper) than they would be under traditional accounting, and Meta’s about 21% higher. In short, the AI boom’s stellar earnings might be built on sand. If and when those data centers need a refresh sooner than claimed, companies could get slammed with extra costs. Think of it as an “AI hardware hangover.” In a few years, capex bills surge, profit margins shrink, and today’s lofty valuations come back to earth. Burry’s calculation: a 20% hit to earnings and a 20% cut to market multiples could easily knock 40–50% off Big Tech stock prices. For an investor who lives by asymmetry (big downside bets for huge payoffs), this smells like the next Big Short. Will the AI Bubble Pop… or Is This Time Different? Burry’s alarm has investors asking if the unthinkable could happen: could the mighty AI trade – which minted the world’s first $5 trillion company and sent stocks like Nvidia soaring 1,200% – suddenly collapse? History is full of booms turned bust. The dot-com bubble didn’t burst because people stopped using the internet (they didn’t); it burst when financial reality caught up with overhyped dreams. Burry suggests a similar fate could befall AI: demand for AI isn’t going anywhere, but a financial gotcha could still prick the bubble. However, a growing chorus argues “this time is different.” Among them is Luke Lango (our Hypergrowth Investing analyst and tech guru), who believes Burry’s 2025 warning will not play out like his 2008 heroics. Why? The core of Burry’s thesis might be flawed. If tech companies are genuinely getting more life out of their AI hardware, then extending depreciation isn’t fraud – it’s just good accounting. And indeed, there are reasons to think today’s AI gear does last longer: Unprecedented demand: In the current AI gold rush, new chips aren’t replacing old ones – they’re adding to the fleet. Cloud giants need every processor they can get. Even older GPUs find use chugging away on less demanding tasks. In a world starved for AI compute, nothing goes to waste. Thus, an Nvidia accelerator bought in 2021 might still be running jobs in 2026, well past the old three-year norm. Scarcity has extended these machines’ useful lives organically. Technical improvements: Better cooling, power management, and software optimizations mean hardware endures less stress and can stay productive for longer. Data-center innovation isn’t just about raw speed; it’s also about longevity. If engineering advances have doubled the effective lifespan of servers, then booking five to six years of use isn’t “cooking” anything … it’s reality. From this perspective, Burry’s dire forecast could prove a false alarm. If depreciation schedules are accurate, there’s no “refresh cliff” looming to wreck profits. The AI giants would keep minting cash, and Burry’s short positions would bleed losses. It wouldn’t be the first time a bold prophet turned out wrong; even a legendary investor can call 15 of the last two recessions. Too Big to Fail? The Wild Card of Government and OpenAI Even if Burry’s right about the numbers, the AI boom has an ace up its sleeve that 2000 or 2008 didn’t – massive, determined support from governments and mega-investors. This isn’t just another tech fad; it’s being treated as critical national infrastructure. Think Manhattan Project, not Pets.com. Consider this: SoftBank’s CEO Masayoshi Son – arguably the world’s savviest tech investor – just liquidated a $5.8 billion stake in Nvidia. Not because he’s souring on AI, but to double down on it. He’s reallocating that capital into OpenAI (the creator of ChatGPT) and a colossal $500 billion “Project Stargate” to expand U.S. AI data centers. In Son’s view, the real opportunity isn’t owning chip stocks at record highs – it’s backing the next phase of AI’s evolution directly. His message: the AI revolution is just getting started, and he’s all-in. Then there’s Uncle Sam. The U.S. government has made it abundantly clear: we must win the AI race against China. That means pouring incentives, contracts, and perhaps even backstop funding into the sector. When OpenAI’s CEO (Sam Altman) muses about needing government help to finance $1-plus trillion in AI projects, officials don’t flinch – they invite him to the White House. We’re witnessing an unprecedented public-private alliance to ensure AI succeeds on American soil. In practical terms, that could mean safety nets for AI companies that get in trouble, preferential treatment, and ongoing capital infusions that defy normal market logic. In other words, AI might be “too big to fail.” In the 1940s, nobody in Washington asked if the Manhattan Project was hitting quarterly earnings targets – they just knew it had to succeed. Similarly, today’s leaders (and deep-pocketed investors) may not care if an AI firm’s depreciation math is squishy. They’re willing to overlook some red ink or creative accounting to keep the innovation engine roaring. Growth at any cost, backed by the full faith and credit of those who shape the economy. Recommended Link Buy Alert: $8 AI Stock This building contains one of the most innovative AI-powered companies in Silicon Valley. In this video, famous tech analyst Luke Lango goes on location to share the name, ticker symbol, and full analysis what he believes will be his next big AI winner. Not too many people are paying attention to this company (you’ll see why here)… Today, you can grab a stake for just under $8 — and potentially rake in a 1,000% return. Join Luke on location in Silicon Valley for the name and ticker symbol of his #1 AI stock right now. The Bottom Line: Caution or Full Throttle? So, where does that leave investors? On the one hand, you have Michael Burry – a proven seer of market cracks – waving a big red flag. He sees fake profits puffing up a bubble, and he’s positioned to profit if it pops. His warning shouldn’t be dismissed; even those who disagree acknowledge he’s highlighted a real issue in tech accounting. At minimum, due diligence is warranted. Blindly chasing AI stocks higher, assuming they can only go up, is a dangerous game. If the “depreciation deception” unravels, the comedown could be ugly for overhyped names. On the other hand, the power dynamics behind this AI boom are unlike anything before. We’re talking about trillion-dollar companies, visionary billionaires, and governments all aligned to propel AI forward. They’re investing in AI like the future depends on it – because, in their view, it does. That kind of momentum can steamroll a lot of short-term concerns. Just look at user adoption: ChatGPT hit one million users in five days of launch (faster than any platform in history), and it’s already serving 300-plus million weekly users a year later. The scale and speed of AI adoption are unprecedented – and perhaps unstoppable. In the end, this might be one of those rare showdowns where financial cynicism meets technological inevitability. Is the AI boom a bubble ripe to burst, or a rocket ship that will leave skeptics like Burry behind? The prudent path for investors is to stay informed and balanced. Keep an eye on those earnings quality metrics – depreciation, free cash flow, capital expenditures – especially as we approach 2026–2027 when the “refresh cycle” verdict will come due. At the same time, recognize that we’re in a new era where traditional metrics can be overshadowed by strategic importance. Michael Burry has issued a stark reminder that no boom is without risks. But unlike 2008, there are giants holding up the AI sky, determined not to let it fall. For hypergrowth investors, the takeaway is clear: approach the AI revolution with eyes wide open. Heed the warnings, but don’t lose sight of the bigger picture. The next few years will reveal whether Burry’s dark prophecy comes true – or if this revolution truly is different. Either way, fortunes will be made and lost in the balance. Stay tuned, stay savvy, and buckle up – the ride isn’t over yet. Burry’s warning is a reminder: every boom creates winners and losers. The key is knowing which side you’re on. Right now, AI is minting millionaires faster than any tech cycle in history — faster than the internet, smartphones, or cloud computing. And after a hands-on trip through Silicon Valley, I believe I’ve located one small, overlooked stock with the same explosive potential as Amazon, Shopify, or Salesforce before they broke out. We call companies like this the “Hyperscale Elite” — digital-first, infinitely scalable businesses built to dominate the AI-driven economy. If you want the full research behind our next potential 10X stock pick — plus access to reports on the 7 Hyperscale AI Stocks to Buy Now, the 3 Next-Gen Energy Stocks, and Tesla’s Hidden Partners — click here to join Innovation Investor before this window closes. Sincerely, Luke Lango Editor, Hypergrowth Investing P.S. If Burry’s right, parts of the AI boom could face a painful reset — but the next phase of AI is still accelerating beneath the surface. That’s why I recently teamed up with trading pro Jonathan Rose for The Profit Surge Event. Together, we outline where the true exponential opportunities lie as AI moves into factories, roads, and soon, everyday life. Click here to watch the replay and position yourself for the next AI surge.

Manage your account We hope this timely investment research is valuable to you. As you know the markets move fast and conditions change frequently. So please check the current issue for the most recent advice. Please note that we cannot be liable for any missed bulletins caused by overzealous filters. To ensure that you continue to receive this valuable part of your service please take a moment to add services@exct.investorplace.com to your address book. You can reach us at feedback@investorplace.com or by calling 1-800-219-8592. Too many emails? Click or tap Manage my subscription to unsubscribe from free newsletter emails or Unsubscribe from marketing to stop receiving marketing emails. InvestorPlace Media LLC 1125 N. Charles St, Baltimore, MD 21201 Copyright 2025 All rights reserved.

Your 401(k) is about to get crushed

Dear Reader, What percentage of your net worth is tied up in the stock market right now? 50%? 70%? More? That’s bad news. It means you’re locked into a system that only works when stocks go up. And right now, the signals say stocks are about to get crushed. The Nasdaq just had its worst week since April. Consumer confidence hit a 3-year low. Layoffs are at a 22-year high. Goldman Sachs, JPMorgan, and Morgan Stanley CEOs are all warning their clients about a crash. But you can't do anything about it. You're stuck. You can't sell everything. You can't time the market. You just have to sit there and watch. That's the trap. But I don't play that game. My "Crossfire" strategy works outside the "buy-and-hold" system. In 2008, while everyone's 401(k) collapsed, I found 89 winning trades. With gains of 388%, 386%, 289%. During COVID, when retirement accounts dropped 30%, I uncovered 24 chances to double your money in days. And I did this with a 3-step technique that's so straightforward, I can teach it to anyone. Right now, while the banking elite warn their wealthy clients, I am positioning for what could be the most profitable period of my career. Because you can profit from the crash itself. While everyone else is trapped watching their retirement shrink, you could be doing something completely different. Click here to see my urgent briefing now. Regards, Jeff Clark Senior Analyst, TradeSmith To ensure that you continue to receive marketing emails from TradeSmith, please add info@exct.tradesmith.com to your address book. If you no longer want to receive marketing emails from TradeSmith, please click here to unsubscribe. If you have any questions, please don't hesitate to contact Customer Service at support@tradesmith.com or by calling 1-866-385-2076. © 2025 TradeSmith, LLC. All Rights Reserved. 1125 N. Charles Street, Baltimore, MD 21201 Terms of Use  |  Privacy Policy  |  Unsubscribe

Reunião do secretário Rubio com o ministro das Relações Exteriores do Brasil, Vieira

Tradução cortesia do Departamento de Estado dos Estados Unidos Reunião do secretário Rubio com o ministro das Relações Exteriores do Brasil, Vieira INFORME ESCRITÓRIO DO PORTA-VOZ O texto abaixo é atribuído ao primeiro porta-voz adjunto, Tommy Pigott: O secretário Rubio se reuniu com o ministro das Relações Exteriores do Brasil, Mauro Vieira, após a Reunião Ministerial do G7, no Canadá, e a reunião do presidente Trump com o presidente Lula da Silva realizado paralelamente à Cúpula de Líderes da Asean, em Kuala Lumpur. O secretário Rubio e o ministro Vieira discutiram uma estrutura de reciprocidade para a relação comercial entre os EUA e o Brasil. Veja o conteúdo original: https://www.state.gov/releases/office-of-the-spokesperson/2025/11/secretary-rubios-meeting-with-brazilian-foreign-minister-vieira/  Esta tradução é fornecida como cortesia e apenas o texto original em inglês deve ser considerado oficial.

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