SAR CHIEF ⭐️⚓🚁🌊🇺🇸

@PsyGuy007 Why would a policeman continue to work under such biased policy and weak leadership.

🇬🇧 Police in London have banned a ‘Walk With Jesus’ march to avoid provoking the local Muslim community. But Muslims are allowed to do this. 🗣️ Why the double standard?

@travelingflying There used to be holy soldiers. Knights Templar.

”Now we are witnessing an invasion. They are not refugees. No. This is an invasion.”

@jess_ih_ka Grok says incentive package not confirmed. 🤨

NEW: An urgent phone call from Saudi Crown Prince MBS changed Trump’s decision at the last minute: President Trump had intended to declare a complete ceasefire and end the fighting against Iran in exchange for the immediate opening of the Strait of Hormuz. However, a tense phone call with Saudi Crown Prince Mohammed bin Salman dramatically changed the plan. According to White House sources, bin Salman begged Trump not to stop the war: “This is a historic opportunity – we must finish the job and weaken the Iranian regime once and for all.” In exchange for continuing the fighting, Saudi Arabia offered an unprecedented package of economic and strategic incentives. Key points in the offer: • $100 billion transferred directly to finance American war costs • Full and immediate normalization with Israel after the fall of the regime • Direct oil pipeline from Saudi Arabia to the port of Ashdod, turning Israel into a major energy hub • Investment of approximately $1 trillion in the U.S. economy + purchase of $500 billion in American weapons • Establishment of a new regional defense alliance, including Israel, Saudi Arabia, and other moderate countries under an American umbrella • Joint naval force to control the Strait of Hormuz and Bab el-Mandeb • Funding of strategic U.S. bases in Israel • Joint reconstruction fund for a post-regime “secular and moderate” Iran In the end, Trump announced a temporary ceasefire, not an end to the war as was expected. Senior diplomatic sources describe the move as “a historic turning point” marking the beginning of a new regional order.

@JackCarrUSA Without Remorse was the first Clancy book I ever read. My Grandpa gave it to me when I was 13. It forever turned me onto this genre. Espionage is my favorite. A few years back I emailed the CIA if I could go in dress uniform to salute the stars on the wall. They said no.

Born on this day in 1947, Tom Clancy came to define the modern techno-thriller. I read THE HUNT FOR RED OCTOBER soon after its publication and have many fond memories escaping into the pages of each new Clancy novel over the ensuing years. I remember exactly where I was as I cracked their covers. I already had my sights set on the SEAL Teams when John Clark first appeared in THE CARDINAL OF THE KREMLIN. When WITHOUT REMORSE hit shelves, I immediately immersed myself in the origin story of the former Navy SEAL and CIA legend. That book in particular remains an old friend. Do you have a favorite Tom Clancy novel?

@MrMikeInvesting No $IONQ?

These stocks are expected to over 3X their revenues within the next 5 years: $NBIS - Nebius: +6400% $ASTS - AST SpaceMobile: +5471+ $ONDS - Ondas: +3188% $IREN - Iren: +1547% $CRWV - CoreWeave: +570% $PLTR - Palantir: +458% $AMD - Advanced Micro: +350% $RKLB - Rocket Lab: +330% $NVDA - Nvidia: +250+ $PL - Planet Labs: +220% Generational opportunities…

@ZaStocks $IONQ is a 5-10x over next 4yrs.

I want to own stocks early in their lifecycle. I don’t believe in the idea that the big tech winners of the last 20+ years will also be the biggest winners of the next 10+ years. I see people clamoring for the same big tech stocks that have led the market over the past 20 years and emphatically believe that these are the same stocks that will lead the next x years. It rarely works like that Go look at the largest stocks of the 70s, 80s, 90s, 2000s, 2020s. They rotate and rarely do the same companies stay at the top very long. Just buying the stocks that have led the market over the past 20 years likely isn’t what leads to outperformance over the next many years. I know people will hate this comparison, but an example is something like $PLTR looks like it could be this generations next $ORCL or $MSFT. That doesn’t mean Oracle and Microsoft are bad businesses, they’re two of the best in history and likely continue to do well. But it does mean Oracle is +230,000% all time and Microsoft is +370,000% all time. The *next* “FAANG” or “MAG7” names are out there, underowned relative to where they’ll be in the future.

@NoLimitGains $IONQ has an eco-system and will greatly improve AI. Plus IONQ isnt just quantum compute.

🚨 IMPORTANT 🚨 The AI Repricing Is Coming. Most Won’t Survive It. Let me be direct: you’re late on AI stocks. We’re not at the start of a new tech cycle, we’re already deep inside it. Gartner officially put generative AI in the trough of disillusionment last year. The average enterprise spent $1.9 million on GenAI in 2025, and fewer than 30% of CEOs said they were satisfied with the ROI. That’s a BIG warning. Still, the market values these companies like every single one will win in the long run. Do the math. The total market cap of AI‑related public companies sits around $21 to $23 trillion. To justify that at a 10% annual return, they’d need roughly $2.2 trillion in annual profit. Their current combined net income is closer to $420 billion, and most of it isn’t even from AI. Investors are paying five times future profits that don’t exist, on a timeline nobody can model, in a sector where the unit economics are broken. OpenAI, probably the most important AI company out there, spends about $1.69 for every $1 it makes. It’s projecting $14 billion in losses this year and $115 billion in cumulative losses before reaching profitability in 2029. The company is raising $100 billion at a valuation near $830 billion. That’s more than the GDP of Argentina for a business still losing money at a WeWork pace. Meanwhile, hyperscalers are planning to pour $650 to $690 billion into AI capex this year. Amazon alone is spending $200 billion. The issue is simple: data centers commissioned in 2025 cost $40 billion a year in depreciation but generate only $15 to $20 billion in revenue at current utilization. That math doesn’t come close to working. In Deutsche Bank’s global markets survey, 57% of investors said an AI valuation crash is the biggest risk heading into 2026. One of their strategists put it bluntly: “AI and tech bubble risk towers over everything else.” This looks like the dot‑com era all over again, only with different letters. In 1999, adding “.com” to your name added billions in market cap overnight. Today, just mention “AI” on an earnings call and the same thing happens. The sentiment is identical. Morgan Stanley estimates retail investors have pushed about $700 billion into equities since January, five times faster than during the 2000 bubble. The dot‑com bust didn’t prove the internet was wrong. It proved that valuations matter, and that picking winners is almost impossible until reality resets expectations. Cisco peaked at $555 billion in 2000 and took two decades to recover. Amazon, trading for pennies in 2001, quietly became a $2 trillion company. That’s what I will be watching closely. When the repricing hits, it will be brutal. AI‑only names with no moat or revenue will get crushed. The ones pitching 70 times forward sales on numbers that don’t exist will go to zero. But what comes after is where the real upside lives. The survivors will be the companies with real ecosystems, sticky products, cash flow outside of AI, and the balance sheets to last. Think of the Amazons and Googles of this cycle. The infrastructure players that power the entire stack. When the dust settles and real monetization starts, those survivors won’t just be worth hundreds of billions. They’ll be measured in trillions. The technology is transformational, just not as fast or as universally as the market assumes. I’m not bearish on AI. I’m bearish on how certain people are about something that’s still uncertain. Be patient. Let the cycle do what it always does. The real move is knowing which stocks to own once everyone else gives up. When that time comes, I’ll tell you where I’m putting my capital. Many will wish they had followed me sooner.

@_CinemaHub_ @NASA Everyone in the helo crew HAD to have huge SMILES. 🫶🏼🫶🏼🫶🏼💙💙💙💙🇺🇸💪🏼🫡

@NASA Following splashdown, the Artemis II astronaut is lifted by helicopter from the capsule.

Big smiles from Christina and Victor on the deck of the USS John P. Murtha, as they waited to be escorted for their routine post-mission medical checks.

@NASA Lucky duty day for the helo crew! Part of history!! Sometimes thats how the cards play out. 👏🏼🇺🇸💪🏼🫡

@Luckyjs37 Cynicism at its best. Dont be afraid to dream and have faith beyond what you can see and touch yourself.

I personally don’t trust anything the government or NASA tells us about space travel. It’s a lie. Everything they do is a ruse. You think we landed on the moon?

@unusual_whales Who gives a fuck

France to ditch Windows for Linux to reduce reliance on US tech, per TC

@McClellanOsc Not to mention air under the wings to create lift...not just thrust.

The airplane would not care, because it gets lift from AIRspeed. But such a scenario would mean that the wheels would be spinning twice as fast as normal (approx. 200 MPH). A key question is whether the wheel bearings can handle that extra load, and whether the tires can stay on the rims with quadruple (due to squaring) the centrifugal force. Exploding landing gear can be detrimental to takeoff success.

@NASA Welcome HOME!! 🇺🇸💪🏼🫡

Welcome home Reid, Victor, Christina, and Jeremy! 🫶 The Artemis II astronauts have splashed down at 8:07pm ET (0007 UTC April 11), bringing their historic 10-day mission around the Moon to an end.

LIVE: They are coming home. Watch as the Artemis II crew returns to Earth, splashing down at around 8:07pm ET (0007 UTC April 11). twitter.com/i/broadcasts/1…

@zerohedge GOOD. We dont want him. We want the Sheriff Chad Bianco!

'She Was Too Drunk To Consent' (Twice): Swalwell Odds Crater After Sexual Assault Allegations Rock California Gubernatorial Race zerohedge.com/political/she-…

@GrantCardone @BoomerDivvies Nothing is good enough for Grant. He had great timing and balls to take risks on real estate. Now shits on middle income trying to make enough for freedom... which isnt a billion dollars. Most can be HAPPY with mortgage paid off and 150k per year.

@BoomerDivvies Bro you’re not even close

Some people say $1M is enough. Others won’t settle for $10M+. How much is “F You Money” to you? $1M? $2M $5M? $10M? At what number do you stop tolerating anything you don’t want to deal with?

@The_RockTrading Bought 300 shares of $TSLL. Let's see how this plays out.

$TSLA Weekly RSI 8.

$IONQ I don't talk about one company. I talk about eleven. It's an architecture.

@Banana3Stocks Up 40% on that OTC NAND play. Small position, only 100 shares but nice to see it slowing growing. Thank you. 🫡 #bananasharesandleaps

$IONQ This paper by Google AI, California Institute of Technology, MIT, and Oratomic is massive. For the first time, they prove "honest" exponential quantum advantage in AI. Market has not priced in these results: What did they create? A new framework called "quantum oracle sketching" that proves a small quantum computer can perform large-scale classification and dimensionality reduction on massive classical data by processing samples on the fly. In contrast, any classical machine achieving the same prediction performance requires exponentially larger size. Why is this significant? "To contextualize these results in realistic scenarios, consider a large-scale scientific experiment, like a large particle collider. Each experimental run generates a colossal volume of data. With a quantum computer, we can keep squeezing all the data into this tiny quantum chip to perform downstream machine learning tasks such as classification and dimensionality reduction. But if we only have classical machines, we would need to build massive, energy-consuming data centers to store the raw data to match the performance. Without this massive memory overhead, classical machines simply couldn’t extract the same clear signals from a single run, forcing us to repeat the massive, expensive experiment many more times to compensate. To put this into perspective, the Large Hadron Collider (LHC) at CERN generates petabytes (millions of gigabytes) of data per hour, but the data storage bottlenecks force researchers to discard all but a tiny fraction—retaining perhaps only one in a hundred thousand events." "We validated these quantum advantages on real-world datasets, including movie review sentiment analysis and single-cell RNA sequencing. In these public datasets, we demonstrate four to six orders of magnitude (ten thousand to a million times) reduction in memory size with fewer than 60 logical qubits. Given the rapid advancements in high-rate quantum error correction codes and experimental techniques, quantum computers capable of demonstrating such applications are foreseeable in the near future. Crucially, the quantum advantage we propose likely carries a clearer positive impact for society and likely arrives sooner than the applications in cryptanalysis, where the current best estimate requires a thousand logical qubits." "Our results provide strong evidence that the utility of quantum computers extends far beyond specialized tasks, opening a path for quantum computers to be broadly useful in our everyday life. Rather than fearing that classical AI will “eat quantum computing’s lunch,” we now have rigorous evidence pointing towards a much more exciting prospect: quantum-enhanced AI overpowering classical AI." Would highly recommend reading the blog below: quantumfrontiers.com/2026/04/09/unl…▶️▶️▶️

@saltydocEM Naw, I just bought BF6 as I was home recovering from hip surgery. Its the same frustrating game that is still hard to put down.