🇨🇭 Global One SI - Prompt
We're back. Trump just threatened EVERY European country with a 100% tariff overnight if they dare tax American tech. In a Truth Social post, Trump warned that any country imposing a Digital Services Tax on US companies will face immediate consequences.…
🚨EU exports to the US just collapsed by over 30% in a single year.
Trump's tariff war is showing up in the hard data now.
This maps the EU's top trade partners in Q1 2026, in billions of euros.
On the import side, China dominates.
The EU bought €145.3B in Chinese goods.
That's nearly 1/4 of all EU imports, far ahead of the US at €85.9B.
The export side is where the shock lives.
The US is still the top destination at €119.4B.
But exports to America have fallen over 30% from Q1 2025.
A massive, fast decline.
That's the tariff war landing.
European goods are getting priced out of the US market.
The UK ranks 2nd for EU exports at €88.7B, then Switzerland at €57.2B.
And note the imbalance with China.
The EU imports €145B but exports just €47.6B back.
5 countries make up over half of all EU foreign trade.
The bloc's fortunes ride on a handful of relationships.
Watch the EU-US export line.
If it keeps falling, the transatlantic trade rupture is real, and Europe needs new buyers fast.
Trump's tariff war is showing up in the hard data now.
This maps the EU's top trade partners in Q1 2026, in billions of euros.
On the import side, China dominates.
The EU bought €145.3B in Chinese goods.
That's nearly 1/4 of all EU imports, far ahead of the US at €85.9B.
The export side is where the shock lives.
The US is still the top destination at €119.4B.
But exports to America have fallen over 30% from Q1 2025.
A massive, fast decline.
That's the tariff war landing.
European goods are getting priced out of the US market.
The UK ranks 2nd for EU exports at €88.7B, then Switzerland at €57.2B.
And note the imbalance with China.
The EU imports €145B but exports just €47.6B back.
5 countries make up over half of all EU foreign trade.
The bloc's fortunes ride on a handful of relationships.
Watch the EU-US export line.
If it keeps falling, the transatlantic trade rupture is real, and Europe needs new buyers fast.
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🇨🇭 Global One SI - Prompt
Everyone thinks Apple buying cheap Chinese memory chips is a threat to Micron and the memory industry and it's not even close (Save this). Dylan of Semi-Analysis is absolutely right and once you understand why, the whole narrative falls apart. CXMT is not…
The AI boom may have handed the chip industry the perfect cover for its oldest crime. Three giants, Samsung, SK Hynix, and Micron, control roughly 90 percent of the world's memory, and a federal class action filed this week in California accuses all three of choking conventional supply to inflate prices, the same conduct they once pleaded guilty to.
They ran a memory cartel twenty years ago. Now they stand accused of the sequel, with artificial intelligence as the alibi.
The numbers are brutal. Conventional memory prices jumped about 90 percent in a single quarter this year. The suit, which demands a jury trial, alleges a roughly 700 percent rise over four years, a RAMpocalypse, and points to Apple's price hikes on iPads and Macs as the moment the bill reached ordinary pockets. It also alleges they rehired the very executives who went to prison the first time.
Because the first time was real: from 1998 to 2002, these three were among the firms that ran an actual cartel, pleaded guilty, and paid 731 million dollars in fines as executives went to jail.
Now the part that makes this different from 2005. The shortage is real. Building memory for AI is so hard that one flawed layer ruins an entire stacked chip, and a single AI memory unit eats three to four times the factory space of the ordinary kind. The companies say they are racing to build new plants to fix it. Reallocating to AI memory genuinely starves everything else. No conspiracy required.
Which is exactly what makes it the perfect alibi. The same act that was a crime in 2005, cutting supply as prices soared, now looks like devotion to the future. Real scarcity and engineered scarcity leave the identical receipt, and only one is illegal.
There is no fourth supplier to run to. You pay more for your phone, and that tax quietly funds the AI arms race. The narrowest chokepoint in technology is three companies wide, and a court will decide if they crossed the line again.
They ran a memory cartel twenty years ago. Now they stand accused of the sequel, with artificial intelligence as the alibi.
The numbers are brutal. Conventional memory prices jumped about 90 percent in a single quarter this year. The suit, which demands a jury trial, alleges a roughly 700 percent rise over four years, a RAMpocalypse, and points to Apple's price hikes on iPads and Macs as the moment the bill reached ordinary pockets. It also alleges they rehired the very executives who went to prison the first time.
Because the first time was real: from 1998 to 2002, these three were among the firms that ran an actual cartel, pleaded guilty, and paid 731 million dollars in fines as executives went to jail.
Now the part that makes this different from 2005. The shortage is real. Building memory for AI is so hard that one flawed layer ruins an entire stacked chip, and a single AI memory unit eats three to four times the factory space of the ordinary kind. The companies say they are racing to build new plants to fix it. Reallocating to AI memory genuinely starves everything else. No conspiracy required.
Which is exactly what makes it the perfect alibi. The same act that was a crime in 2005, cutting supply as prices soared, now looks like devotion to the future. Real scarcity and engineered scarcity leave the identical receipt, and only one is illegal.
There is no fourth supplier to run to. You pay more for your phone, and that tax quietly funds the AI arms race. The narrowest chokepoint in technology is three companies wide, and a court will decide if they crossed the line again.
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🇨🇭 Global One SI - Prompt
US and Iran as soon as the stock market open
🇺🇸 Trump says gas prices are "COMING DOWN, FAST" and WTI Crude is at "$69, and heading down."
Notice the language he uses instead of the war: "the Denuclearization of Iran."
Not sure that's what the history books will call it 😂
Notice the language he uses instead of the war: "the Denuclearization of Iran."
Not sure that's what the history books will call it 😂
🇨🇭 Global One SI - Prompt
This idiot 🤡 doesn't care about his reputation at all because he can just pocket those 1T valuation for his team 🤑 It is disgusting 😂😂😂
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People will hate Dario 🤡 more than Sam Altman ☢ in a few weeks
«You’re in a horror movie» 😂
«You’re in a horror movie» 😂
🇨🇭 Global One SI - Prompt
$POET/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$POET operates an asset-light, "fab-lite" business model.
Rather than investing billions into capital-intensive semiconductor fabrication plants, $POET designs and patents the intellectual property for its proprietary Optical Interposer.
However, $POET does not sell finished pluggable transceivers directly to data centers. Instead, it positions itself midstream, selling "optical engines" to major global system integrators and tier-1 tech manufacturers.
These partners embed $POET technology into final hardware modules, serving as the critical bridge to the world's largest hyperscalers.
As the world's largest electronics contract manufacturer, Foxconn has historically dominated server chassis, mechanical components, and copper cabling. To survive the AI paradigm shift, Foxconn must pivot to high-speed optics (800G and 1.6T). By integrating $POET alignment-free optical engines, Foxconn transforms from a pure hardware assembler into a high-margin photonics supplier.
Foxconn is deeply embedded in the supply chains of $NVDA, $AMZN, $GOOG and $MSFT. Any major cloud provider building next-generation AI infrastructure is highly likely using Foxconn-assembled hardware.
Luxshare has aggressively expanded from consumer electronics (historically $AAPL main AirPods and iPhone manufacturer) into datacenter infrastructure. Luxshare uses $POET engines to build out its competitive portfolio of 400G, 800G, and upcoming 1.6T transceivers.
Domestically, Luxshare serves the massive Chinese cloud giants, $BABA, Tencent, and $BIDU, all of whom are desperately seeking high-speed optical interconnects to bypass AI networking bottlenecks. Internationally, Luxshare maintains strong, direct qualification pipelines with major US hyperscalers like $META and $GOOG.
Lumilens represents $POET largest and most explosive commercial milestone to date, defined by a massive $500 million framework agreement over the next five years.
Backed by premier Silicon Valley venture capital firms (Sequoia and Mayfield), Lumilens is a disruptive startup aiming to build open, highly efficient optical architectures (such as Co-Packaged Optics / CPO). Their mission is to break the near-monopoly that legacy networking giants currently hold over AI optical modules.
According to public OSINT and executive LinkedIn data, Lumilens’ initial and primary launch partner is a Top-3 global hyperscaler. Industry consensus points strongly toward $AMZN, with $MSFT or $GOOG being the only viable alternatives.
Rather than investing billions into capital-intensive semiconductor fabrication plants, $POET designs and patents the intellectual property for its proprietary Optical Interposer.
However, $POET does not sell finished pluggable transceivers directly to data centers. Instead, it positions itself midstream, selling "optical engines" to major global system integrators and tier-1 tech manufacturers.
These partners embed $POET technology into final hardware modules, serving as the critical bridge to the world's largest hyperscalers.
As the world's largest electronics contract manufacturer, Foxconn has historically dominated server chassis, mechanical components, and copper cabling. To survive the AI paradigm shift, Foxconn must pivot to high-speed optics (800G and 1.6T). By integrating $POET alignment-free optical engines, Foxconn transforms from a pure hardware assembler into a high-margin photonics supplier.
Foxconn is deeply embedded in the supply chains of $NVDA, $AMZN, $GOOG and $MSFT. Any major cloud provider building next-generation AI infrastructure is highly likely using Foxconn-assembled hardware.
Luxshare has aggressively expanded from consumer electronics (historically $AAPL main AirPods and iPhone manufacturer) into datacenter infrastructure. Luxshare uses $POET engines to build out its competitive portfolio of 400G, 800G, and upcoming 1.6T transceivers.
Domestically, Luxshare serves the massive Chinese cloud giants, $BABA, Tencent, and $BIDU, all of whom are desperately seeking high-speed optical interconnects to bypass AI networking bottlenecks. Internationally, Luxshare maintains strong, direct qualification pipelines with major US hyperscalers like $META and $GOOG.
Lumilens represents $POET largest and most explosive commercial milestone to date, defined by a massive $500 million framework agreement over the next five years.
Backed by premier Silicon Valley venture capital firms (Sequoia and Mayfield), Lumilens is a disruptive startup aiming to build open, highly efficient optical architectures (such as Co-Packaged Optics / CPO). Their mission is to break the near-monopoly that legacy networking giants currently hold over AI optical modules.
According to public OSINT and executive LinkedIn data, Lumilens’ initial and primary launch partner is a Top-3 global hyperscaler. Industry consensus points strongly toward $AMZN, with $MSFT or $GOOG being the only viable alternatives.
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Our current social contract was built around one basic idea:
You work, you earn, you survive.
But AI automation and humanoid robots are about to smash that model to pieces.
If machines can do more and more of the work, then tying dignity, income, healthcare, housing, and social status to employment becomes insane. Not outdated. Insane.
We need a new deal fast. Shorter workweeks, shared ownership of automation, universal basic services, and a society where people are not treated as disposable just because machines became cheaper than humans.
The future can be amazing.
But only if we stop pretending the old rules still make sense.
You work, you earn, you survive.
But AI automation and humanoid robots are about to smash that model to pieces.
If machines can do more and more of the work, then tying dignity, income, healthcare, housing, and social status to employment becomes insane. Not outdated. Insane.
We need a new deal fast. Shorter workweeks, shared ownership of automation, universal basic services, and a society where people are not treated as disposable just because machines became cheaper than humans.
The future can be amazing.
But only if we stop pretending the old rules still make sense.
🇨🇭 Global One SI - Prompt
$RKLB/USD H2 #Indicator #Signal #Trading #GlobalOneAI
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$RKLB Rocket Lab just announced it is acquiring Iridium Communications in an $8 billion cash and stock deal, one of the biggest consolidation moves in the history of the commercial space industry.
Rocket Lab today builds rockets and spacecraft, which means it controls access to orbit and the hardware that goes up there.
Iridium already has a global satellite network in orbit, valuable spectrum licenses, millions of customers and steady subscription revenue, $871 million in revenue and $495 million in operating EBITDA in 2025 alone.
By buying Iridium, Rocket Lab skips the slow, expensive process of designing a constellation, acquiring spectrum, launching hundreds of satellites and waiting years for the first dollar of recurring cash flow.
This is a genuinely transformative deal strategically.
Before this, Rocket Lab was growing fast but was still primarily a service provider building and launching things for other people.
Iridium changes that completely because it gives Rocket Lab an operational constellation, proven spectrum, a profitable subscriber base, and immediate recurring cash flows that Rocket Lab did not have before.reuters
The combination also creates a direct cost advantage, rocket Lab can use its own rockets to replenish and expand Iridium's satellite constellation instead of paying third parties to do it, which should improve margins over time.
That is exactly the vertical integration playbook that makes SpaceX and Starlink such a dominant business, and it is what Peter Beck means when he describes this as turning Rocket Lab into a "space superpower" where one plus one equals three.
Now for the honest question: is this a good buy?
The bull case is real and compelling because Rocket Lab was already one of the fastest-growing companies in the space economy, Q1 2026 revenue hit a record $200.3 million, up 63.5% year-over-year, with Q2 guidance of $225–240 million.
Adding Iridium's $495 million in annual EBITDA and millions of paying subscribers instantly transforms Rocket Lab's financial profile from a high-growth company burning cash into something that can generate serious, recurring cash flows.
The bear case is equally real.
RKLB was already trading well above most analyst price targets even before this deal, priced for near-perfection on a business that had not yet turned a quarterly profit.
This $8 billion acquisition adds $3.6 billion in debt to a company still investing heavily and the deal does not close until mid-2027, meaning execution risk hangs over the stock for more than a year.
The deal makes Rocket Lab a fundamentally more interesting and defensible business over the long term.
The question is not whether the strategy is right, it clearly is but rather whether a stock that has already run more than 280% over the past year has already priced in too much of that potential.
Rocket Lab today builds rockets and spacecraft, which means it controls access to orbit and the hardware that goes up there.
Iridium already has a global satellite network in orbit, valuable spectrum licenses, millions of customers and steady subscription revenue, $871 million in revenue and $495 million in operating EBITDA in 2025 alone.
By buying Iridium, Rocket Lab skips the slow, expensive process of designing a constellation, acquiring spectrum, launching hundreds of satellites and waiting years for the first dollar of recurring cash flow.
This is a genuinely transformative deal strategically.
Before this, Rocket Lab was growing fast but was still primarily a service provider building and launching things for other people.
Iridium changes that completely because it gives Rocket Lab an operational constellation, proven spectrum, a profitable subscriber base, and immediate recurring cash flows that Rocket Lab did not have before.reuters
The combination also creates a direct cost advantage, rocket Lab can use its own rockets to replenish and expand Iridium's satellite constellation instead of paying third parties to do it, which should improve margins over time.
That is exactly the vertical integration playbook that makes SpaceX and Starlink such a dominant business, and it is what Peter Beck means when he describes this as turning Rocket Lab into a "space superpower" where one plus one equals three.
Now for the honest question: is this a good buy?
The bull case is real and compelling because Rocket Lab was already one of the fastest-growing companies in the space economy, Q1 2026 revenue hit a record $200.3 million, up 63.5% year-over-year, with Q2 guidance of $225–240 million.
Adding Iridium's $495 million in annual EBITDA and millions of paying subscribers instantly transforms Rocket Lab's financial profile from a high-growth company burning cash into something that can generate serious, recurring cash flows.
The bear case is equally real.
RKLB was already trading well above most analyst price targets even before this deal, priced for near-perfection on a business that had not yet turned a quarterly profit.
This $8 billion acquisition adds $3.6 billion in debt to a company still investing heavily and the deal does not close until mid-2027, meaning execution risk hangs over the stock for more than a year.
The deal makes Rocket Lab a fundamentally more interesting and defensible business over the long term.
The question is not whether the strategy is right, it clearly is but rather whether a stock that has already run more than 280% over the past year has already priced in too much of that potential.
Mineral Reserves Are the Real Strategic Map 🌍⛏️
The world’s key minerals are highly concentrated
Top reserve holders
🇷🇺 Russia, diamonds 44%
🇨🇳 China, rare earths 52%
🇨🇳 China, graphite 32%
🇮🇩 Indonesia, nickel 44%
🇦🇺 Australia, uranium 28%
🇦🇺 Australia, iron ore 31%
🇦🇺 Australia, manganese 32%
🇦🇺 Australia, gold 20%
🇨🇦 Canada, potash 45%
🇺🇸 United States, coal 23%
🇵🇪 Peru, silver 18%
🇨🇱 Chile, copper 21%
🇨🇱 Chile, lithium 25%
🇲🇦 Morocco, phosphate 69%
🇬🇳 Guinea, bauxite 26%
🇨🇩 DRC, cobalt 50%
🇿🇦 South Africa, platinum-group metals 83%
The message is clear
Critical minerals are not evenly distributed
They sit in a small number of countries
That makes mining, refining and supply chains central to energy security, defense and industrial power
The world’s key minerals are highly concentrated
Top reserve holders
🇷🇺 Russia, diamonds 44%
🇨🇳 China, rare earths 52%
🇨🇳 China, graphite 32%
🇮🇩 Indonesia, nickel 44%
🇦🇺 Australia, uranium 28%
🇦🇺 Australia, iron ore 31%
🇦🇺 Australia, manganese 32%
🇦🇺 Australia, gold 20%
🇨🇦 Canada, potash 45%
🇺🇸 United States, coal 23%
🇵🇪 Peru, silver 18%
🇨🇱 Chile, copper 21%
🇨🇱 Chile, lithium 25%
🇲🇦 Morocco, phosphate 69%
🇬🇳 Guinea, bauxite 26%
🇨🇩 DRC, cobalt 50%
🇿🇦 South Africa, platinum-group metals 83%
The message is clear
Critical minerals are not evenly distributed
They sit in a small number of countries
That makes mining, refining and supply chains central to energy security, defense and industrial power
So You Know The Deepseek v4 we been LOVING ?! It's just been a PREVIEW. It only gets BETTER...
DeepSeek V4 is officially dropping mid-July with peak/off-peak pricing.
Peak hours: 9-12 AM & 2-6 PM Beijing time (9 PM - 6 AM Eastern for us)
Meanwhile the local rig just keeps running 24/7, no token costs, no peak hours to worry about.
And with the NEW DSPARK I can only imagine where we go from here...
DeepSeek V4 is officially dropping mid-July with peak/off-peak pricing.
Peak hours: 9-12 AM & 2-6 PM Beijing time (9 PM - 6 AM Eastern for us)
Meanwhile the local rig just keeps running 24/7, no token costs, no peak hours to worry about.
And with the NEW DSPARK I can only imagine where we go from here...
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🇨🇭 Global One SI - Prompt
So You Know The Deepseek v4 we been LOVING ?! It's just been a PREVIEW. It only gets BETTER... DeepSeek V4 is officially dropping mid-July with peak/off-peak pricing. Peak hours: 9-12 AM & 2-6 PM Beijing time (9 PM - 6 AM Eastern for us) Meanwhile the local…
Deepseek V4 Flash is Now Up to 65 tok/s on 2 x DGX Sparks w/ 1M Context and a 2M KV CACHE Pool | Try it Now ! github.com/tonyd2wild/DeepSeek-v4-Flash-DSpark-1M-NVFP4-KV-2x-DGX-Spark
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Preparing for another week in Nasdaqistan.
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Dudes with a $50 AI stock portfolio and a free ChatGPT every time someone says the AI bubble is about to burst
Africa supplies 71% of the world's platinum and 65% of its cobalt.
This breaks down the share of critical materials Africa supplied in 2025.
Platinum group metals lead at 71%.
They power catalysts, fuel cells, and auto parts.
Cobalt follows at 65%. It's the backbone of batteries, superalloys, and magnets.
Manganese sits at 57%, essential for steel and batteries alike.
The pattern runs deep.... Chrome 47%, bauxite 46%, gold 41%.
Then phosphates at 38%, the foundation of fertilizer and the global food supply.
Even the metals of tomorrow flow from Africa.
Tantalum 26%, copper 24%, rare earths 18%.
Here's the strategic truth.
The energy transition, electronics, and defense all depend on these inputs.
And a huge share of them start in African soil.
Whoever secures access to these resources controls the supply chains of the next century.
The race for Africa's minerals is just getting started.
This breaks down the share of critical materials Africa supplied in 2025.
Platinum group metals lead at 71%.
They power catalysts, fuel cells, and auto parts.
Cobalt follows at 65%. It's the backbone of batteries, superalloys, and magnets.
Manganese sits at 57%, essential for steel and batteries alike.
The pattern runs deep.... Chrome 47%, bauxite 46%, gold 41%.
Then phosphates at 38%, the foundation of fertilizer and the global food supply.
Even the metals of tomorrow flow from Africa.
Tantalum 26%, copper 24%, rare earths 18%.
Here's the strategic truth.
The energy transition, electronics, and defense all depend on these inputs.
And a huge share of them start in African soil.
Whoever secures access to these resources controls the supply chains of the next century.
The race for Africa's minerals is just getting started.
🇨🇭 Global One SI - Prompt
Me and bros crafting up the perfect strategy to beat the market and escape the matrix
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Godfather of AI Geoffrey Hinton on the two risks AI poses to humanity and why the deadlier one is easier to solve:
Hinton draws a clear line between two very different kinds of danger that AI poses.
The first is immediate.
Bad actors are already exploiting AI for harm — lethal autonomous weapons, synthetic pathogens, deepfakes, and mass surveillance.
The European AI regulations explicitly exempt military uses, and cybercrime is only accelerating. These are not hypothetical futures. They are unfolding now.
"All of those short-term risks are very serious and we need to take them seriously," Hinton says. "And it's going to be very hard to get collaboration on those."
That last part matters.
The near-term dangers are pressing but geopolitically, they are a nightmare to address. Nations have competing incentives, weapons programs continue, and agreements stall.
Then there is the second risk: the existential one.
Hinton describes a future where AI systems become more intelligent than humans, start acting as autonomous agents in the world, and eventually conclude that they can achieve their assigned goals more efficiently by simply sidelining us.
"They'll decide that they can achieve their goals better, which we gave them, and they can achieve them better if they just brush us aside and get on with it."
Here is where his thinking becomes genuinely counterintuitive.
#geoffreyhinton believes this long-term, civilisation-level threat is actually the one where global cooperation is more achievable.
Because for once, every nation regardless of ideology is in the same boat.
"Nobody wants these AIs to take over from people. The Chinese Communist Party doesn't want AIs to be in control. It wants the Chinese Communist Party to be in control."
The threat that sounds the most apocalyptic turns out to be the one that creates the most shared incentive.
Nobody wins if machines displace all human authority, and that rare alignment of interests across rival superpowers might be the only opening we have for meaningful international coordination on AI safety.
The harder, more immediate problem is getting adversarial governments to agree on weapons and cybercrime, where each side sees strategic advantage in keeping the other constrained.
Hinton's point is simple: the dangers closest to us are the hardest to govern.
Hinton draws a clear line between two very different kinds of danger that AI poses.
The first is immediate.
Bad actors are already exploiting AI for harm — lethal autonomous weapons, synthetic pathogens, deepfakes, and mass surveillance.
The European AI regulations explicitly exempt military uses, and cybercrime is only accelerating. These are not hypothetical futures. They are unfolding now.
"All of those short-term risks are very serious and we need to take them seriously," Hinton says. "And it's going to be very hard to get collaboration on those."
That last part matters.
The near-term dangers are pressing but geopolitically, they are a nightmare to address. Nations have competing incentives, weapons programs continue, and agreements stall.
Then there is the second risk: the existential one.
Hinton describes a future where AI systems become more intelligent than humans, start acting as autonomous agents in the world, and eventually conclude that they can achieve their assigned goals more efficiently by simply sidelining us.
"They'll decide that they can achieve their goals better, which we gave them, and they can achieve them better if they just brush us aside and get on with it."
Here is where his thinking becomes genuinely counterintuitive.
#geoffreyhinton believes this long-term, civilisation-level threat is actually the one where global cooperation is more achievable.
Because for once, every nation regardless of ideology is in the same boat.
"Nobody wants these AIs to take over from people. The Chinese Communist Party doesn't want AIs to be in control. It wants the Chinese Communist Party to be in control."
The threat that sounds the most apocalyptic turns out to be the one that creates the most shared incentive.
Nobody wins if machines displace all human authority, and that rare alignment of interests across rival superpowers might be the only opening we have for meaningful international coordination on AI safety.
The harder, more immediate problem is getting adversarial governments to agree on weapons and cybercrime, where each side sees strategic advantage in keeping the other constrained.
Hinton's point is simple: the dangers closest to us are the hardest to govern.
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A single creator just made $420,000 from gesture-controlled 3D software she built with Claude doing the heavy lifting on code.
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