🇨🇭 Global One SI - Prompt
SpaceX: The Road to $1.5T Valuation 🚀 2002 — SpaceX founded by Elon Musk 🚀 2008 — First successful Falcon 1 launch 🚀 2012 — Dragon becomes first commercial craft to reach ISS 🚀 2015 — First successful landing of a Falcon 9 stage 🚀 2020 — First commercial…
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Elon dove deep into rocket economics, questioning why launch costs stayed sky-high.
He noted that even a modest rocket like the Delta II ran $60 million or more - "I think is $100 million or something, even some crazy number" - while bigger ones hit $200-400 million.
"I came to the conclusion that there wasn't really a good reason for rockets to be so expensive," he said, "and that they could be a lot less."
Fuel was negligible, just 0.2-0.5% of the price, much like airplanes where the plane itself dwarfs fuel costs.
Reusability became the breakthrough idea: "if one could make them reusable like airplanes then the cost of rocketry would drop dramatically."
This insight sparked the push that changed space travel forever.
He noted that even a modest rocket like the Delta II ran $60 million or more - "I think is $100 million or something, even some crazy number" - while bigger ones hit $200-400 million.
"I came to the conclusion that there wasn't really a good reason for rockets to be so expensive," he said, "and that they could be a lot less."
Fuel was negligible, just 0.2-0.5% of the price, much like airplanes where the plane itself dwarfs fuel costs.
Reusability became the breakthrough idea: "if one could make them reusable like airplanes then the cost of rocketry would drop dramatically."
This insight sparked the push that changed space travel forever.
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🇺🇸🇮🇷 Donald Trump is considering sending thousands of American troops to Iran, despite significant risks and increasing political and international pressure, NBC News reports.
➡️ The options under consideration include securing the Strait of Hormuz by deploying forces to Iranian ports and islands, seizing Iran's oil infrastructure, or removing enriched uranium to increase pressure on the Iranian government.
➡️ According to officials, any operation is likely to be limited in scope and will not resemble the large-scale interventions carried out in Iraq and Afghanistan. A final decision has not yet been made.
➡️ Possible deployment could range from hundreds of elite special forces conducting short, high-intensity operations (lasting several hours) to several thousand troops operating for weeks — depending on the scale and objectives of the operation.
➡️ The options under consideration include securing the Strait of Hormuz by deploying forces to Iranian ports and islands, seizing Iran's oil infrastructure, or removing enriched uranium to increase pressure on the Iranian government.
➡️ According to officials, any operation is likely to be limited in scope and will not resemble the large-scale interventions carried out in Iraq and Afghanistan. A final decision has not yet been made.
➡️ Possible deployment could range from hundreds of elite special forces conducting short, high-intensity operations (lasting several hours) to several thousand troops operating for weeks — depending on the scale and objectives of the operation.
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🇨🇭 Global One SI - Prompt
Stock market is a dissaster due to the conflict. If you are "sitting" on investments into material & mining and defense tech then this data sheet we have put together will be of high interest to you and will ease your mind. You have years of growth ahead…
24 months. Four phases.
This is what the Iran war has actually consumed.
Iranian fires: ~4,420+ projectiles
— ~1,170 ballistic missiles
— ~3,170 one-way attack drones
— ~80 cruise missiles
Coalition interceptors burned:
— PAC-3 MSE: ~1,123+
— THAAD: ~362+
— Iron Dome: ~380+
— Arrow-3: ~249+
— SM-3: ~152+
— David's Sling: ~135+
943 PAC-3 rounds fired in 96 hours.
The cost problem no one can solve:
Shahed drone: $20–50K PAC-3 interceptor: $3.7–5M Ratio: 1:74 to 1:200
Materials consumed across the conflict:
— Copper: 225–355 tonnes
— Ammonium perchlorate: 1,250–2,000 tonnes
— Neodymium: 260–450 kg
— Gallium: 42–80 kg in munitions + ~125 kg in destroyed radars
Five single points of failure in the US reload chain:
01 AMPAC Utah — sole ammonium perchlorate source
02 Holston AAP — sole RDX/HMX source
03 Williams Int'l — only Tomahawk engine maker
04 Boeing seeker — PAC-3 bottleneck
05 Chinese rare earths — gallium, neodymium, dysprosium
Rebuild timelines:
Tomahawk: 375+ used, 85/yr built → 53 months
THAAD: 350+ used → 3–8 years SM-3: 150+ used → 4+ years
PAC-3: 1,100+ used → 18–24 months
GBU-57: 8 used, near-zero production → 2028+
Full US posture recovery: 5–10 years.
Full Israeli defensive posture: 3–5 years.
This is what the Iran war has actually consumed.
Iranian fires: ~4,420+ projectiles
— ~1,170 ballistic missiles
— ~3,170 one-way attack drones
— ~80 cruise missiles
Coalition interceptors burned:
— PAC-3 MSE: ~1,123+
— THAAD: ~362+
— Iron Dome: ~380+
— Arrow-3: ~249+
— SM-3: ~152+
— David's Sling: ~135+
943 PAC-3 rounds fired in 96 hours.
The cost problem no one can solve:
Shahed drone: $20–50K PAC-3 interceptor: $3.7–5M Ratio: 1:74 to 1:200
Materials consumed across the conflict:
— Copper: 225–355 tonnes
— Ammonium perchlorate: 1,250–2,000 tonnes
— Neodymium: 260–450 kg
— Gallium: 42–80 kg in munitions + ~125 kg in destroyed radars
Five single points of failure in the US reload chain:
01 AMPAC Utah — sole ammonium perchlorate source
02 Holston AAP — sole RDX/HMX source
03 Williams Int'l — only Tomahawk engine maker
04 Boeing seeker — PAC-3 bottleneck
05 Chinese rare earths — gallium, neodymium, dysprosium
Rebuild timelines:
Tomahawk: 375+ used, 85/yr built → 53 months
THAAD: 350+ used → 3–8 years SM-3: 150+ used → 4+ years
PAC-3: 1,100+ used → 18–24 months
GBU-57: 8 used, near-zero production → 2028+
Full US posture recovery: 5–10 years.
Full Israeli defensive posture: 3–5 years.
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Elon Musk: “The next step beyond Earth data centers is Earth orbital data centers. We’ll be launching SpaceX orbital data centers at the 100 to 200 gigawatt per year level — not cumulative, per year. Ultimately we see a path to maybe launching as much as a terawatt per year of compute from Earth.
But if you want to go beyond a terawatt per year, you have to go to the moon. By having factories on the moon building AI satellites, and having a mass driver — something you usually only read about in science fiction but we’re going to make it real.
If you do that, you can go several orders of magnitude greater, to 1,000 gigawatts or more per year, and ultimately maybe even a few percent of the sun’s energy. It’s difficult to imagine what an intelligence of that scale would think about, but it’s going to be incredibly exciting.”
But if you want to go beyond a terawatt per year, you have to go to the moon. By having factories on the moon building AI satellites, and having a mass driver — something you usually only read about in science fiction but we’re going to make it real.
If you do that, you can go several orders of magnitude greater, to 1,000 gigawatts or more per year, and ultimately maybe even a few percent of the sun’s energy. It’s difficult to imagine what an intelligence of that scale would think about, but it’s going to be incredibly exciting.”
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🇨🇭 Global One SI - Prompt
🚨 You are not living in reality. You are living in a proof of concept that is almost proven. We might be the universe’s science experiment, and superintelligence is the result it’s been waiting to collect. The simulation hypothesis has existed at the fringes…
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This is what travel looks like after AGI.
Fully personalized, reconfigurable spaces that feel like a luxury home in the sky. Bedrooms, lounges, even spas mid-flight.
Why? Because AGI + robotics kills the cost of labor, design, and optimization. Planes stop being standardized metal tubes and become adaptive environments optimized in real time for each passenger.
When intelligence becomes abundant, comfort becomes the default.
Fully personalized, reconfigurable spaces that feel like a luxury home in the sky. Bedrooms, lounges, even spas mid-flight.
Why? Because AGI + robotics kills the cost of labor, design, and optimization. Planes stop being standardized metal tubes and become adaptive environments optimized in real time for each passenger.
When intelligence becomes abundant, comfort becomes the default.
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5 EARLY INVEST BANGERS with ULTRA-low Market Cap 🔥 $LIDR $SIVE $ADUR $NEOV $ASTI
These Micro/Small-Caps could be the next 10x runners.
What makes them special:
Extremely low market capitalization.
At these tiny valuations, one solid news drop, partnership or scaling milestone can trigger massive price explosions.
High risk - but insane asymmetric upside in billion-dollar mega-trends like AI, Autonomous Driving, Clean Energy, Recycling & Space.
$LIDR (AEye)
High-performance software-defined LiDAR for Autonomous Vehicles, ADAS, Robotics & Defense.
NVIDIA partnership + 1-km range = perfectly positioned for the Physical-AI and autonomy boom.
$SIVE (Sivers Semiconductors)
5G mmWave & Photonics chips for AI data centers, LiDAR & Wireless.
Fresh AI/HPC partnerships + ramping major customer = explosive revenue potential in the AI infrastructure supercycle.
$ADUR (Aduro Clean Technologies)
Patented water-based Chemical Recycling: turns plastic waste, tires & heavy oil into valuable chemicals & fuels. Pilot running, commercial scale-up incoming - the perfect play for Circular Economy & Net-Zero.
$NEOV (NeoVolta)
Premium Residential & Commercial Energy Storage (solar batteries). Record growth >200%, US manufacturing JV + expansion into Commercial/Utility - locked into the solar & energy-independence boom.
$ASTI (Ascent Solar)
Ultra-light, flexible CIGS solar modules for Space, satellites, UAVs, Aerospace & Agrivoltaics. Fresh space contracts + 2026 production ramp = tiniest valuation with massive contract upside!
Why so much potential?
Tiny MC + breakthrough tech in trillion-dollar markets = insane leverage.
DYOR & NFA.
Only invest money you can afford to lose.
Volatility is brutal.
Which of the 5 is your favorite?
These Micro/Small-Caps could be the next 10x runners.
What makes them special:
Extremely low market capitalization.
At these tiny valuations, one solid news drop, partnership or scaling milestone can trigger massive price explosions.
High risk - but insane asymmetric upside in billion-dollar mega-trends like AI, Autonomous Driving, Clean Energy, Recycling & Space.
$LIDR (AEye)
High-performance software-defined LiDAR for Autonomous Vehicles, ADAS, Robotics & Defense.
NVIDIA partnership + 1-km range = perfectly positioned for the Physical-AI and autonomy boom.
$SIVE (Sivers Semiconductors)
5G mmWave & Photonics chips for AI data centers, LiDAR & Wireless.
Fresh AI/HPC partnerships + ramping major customer = explosive revenue potential in the AI infrastructure supercycle.
$ADUR (Aduro Clean Technologies)
Patented water-based Chemical Recycling: turns plastic waste, tires & heavy oil into valuable chemicals & fuels. Pilot running, commercial scale-up incoming - the perfect play for Circular Economy & Net-Zero.
$NEOV (NeoVolta)
Premium Residential & Commercial Energy Storage (solar batteries). Record growth >200%, US manufacturing JV + expansion into Commercial/Utility - locked into the solar & energy-independence boom.
$ASTI (Ascent Solar)
Ultra-light, flexible CIGS solar modules for Space, satellites, UAVs, Aerospace & Agrivoltaics. Fresh space contracts + 2026 production ramp = tiniest valuation with massive contract upside!
Why so much potential?
Tiny MC + breakthrough tech in trillion-dollar markets = insane leverage.
DYOR & NFA.
Only invest money you can afford to lose.
Volatility is brutal.
Which of the 5 is your favorite?
🇨🇭 Global One SI - Prompt
$SOI/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$SOI The ultimate semiconductor bottleneck and near-monopoly everyone is sleeping on 🔥
They don’t make chips - they make the engineered SOI wafers the entire industry depends on (using patented Smart Cut™ tech, 4,300+ patents).
What their products power:
RF-SOI & POI: Inside nearly every 5G smartphone for RF switches, filters & mmWave (70%+ global market share) - Apple iPhone, Samsung Galaxy, Google Pixel, Qualcomm & Skyworks.
FD-SOI: Low-power Edge AI, automotive radar & processors - Samsung Foundry, GlobalFoundries, STMicro.
Photonics-SOI: High-speed optical interconnects for AI data centers (CPO ramp 2026+)
#Soitec_Official is the ONLY qualified volume supplier for TSMC, GlobalFoundries & Tower Semi.
Demand exploding from AI, 5G/6G & EVs… while supply is capacity-constrained.
This is the hidden “pick & shovel” choke point controlling the chip gold rush.
soitec.com
They don’t make chips - they make the engineered SOI wafers the entire industry depends on (using patented Smart Cut™ tech, 4,300+ patents).
What their products power:
RF-SOI & POI: Inside nearly every 5G smartphone for RF switches, filters & mmWave (70%+ global market share) - Apple iPhone, Samsung Galaxy, Google Pixel, Qualcomm & Skyworks.
FD-SOI: Low-power Edge AI, automotive radar & processors - Samsung Foundry, GlobalFoundries, STMicro.
Photonics-SOI: High-speed optical interconnects for AI data centers (CPO ramp 2026+)
#Soitec_Official is the ONLY qualified volume supplier for TSMC, GlobalFoundries & Tower Semi.
Demand exploding from AI, 5G/6G & EVs… while supply is capacity-constrained.
This is the hidden “pick & shovel” choke point controlling the chip gold rush.
soitec.com
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Insane
Another superhuman hand: Beijing LinkerBot’s Linker Hand L30.
Ultra fast rotation, pinpoint precision control.
When a humanoid robot’s hand breaks through the limits of human anatomy, this hand doesn’t just operate tools…
it itself becomes a highly productive tool.
Another superhuman hand: Beijing LinkerBot’s Linker Hand L30.
Ultra fast rotation, pinpoint precision control.
When a humanoid robot’s hand breaks through the limits of human anatomy, this hand doesn’t just operate tools…
it itself becomes a highly productive tool.
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🇨🇭 Global One SI - Prompt
Insane Another superhuman hand: Beijing LinkerBot’s Linker Hand L30. Ultra fast rotation, pinpoint precision control. When a humanoid robot’s hand breaks through the limits of human anatomy, this hand doesn’t just operate tools… it itself becomes a highly…
When this hand can also serve as a prosthetic limb, humans can use it to transcend the limitations of evolution.
Our hands today are no different from those of Homo sapiens 200,000 years ago.
The only difference is that your little finger has become a phone finger.
Our hands today are no different from those of Homo sapiens 200,000 years ago.
The only difference is that your little finger has become a phone finger.
🇨🇭 Global One SI - Prompt
Tesla just declared WAR on the Semiconductor Giants. 🛡️💻 In 7 days, construction begins on Terafab - Tesla’s ground-up 2nm chip foundry. This isn't just a factory; it’s the birth of "Silicon Sovereignty." Why the industry is shaking: 🚀 The End of the "TSMC…
Tesla’s TeraFab officially begins TODAY 🏭 This is make or break for possibly the whole AI industry
Elon’s trying to build a 2nm chip fab from scratch. The most advanced process node on Earth.
Only 3 companies can do this. TSMC spent $165 billion on their Arizona cluster alone. It took decades of institutional knowledge.
Tesla has manufactured zero semiconductors. Ever.
But they don’t really have a choice choice:
Even in the best-case scenario where TSMC, Samsung, and Micron all max out production for Tesla, it’s still not enough chips for the Optimus and Cybercab roadmap…let alone the rest of the industry
The AI5 chip this fab is designed to produce has 50x the compute of AI4. They need 100-200 billion of them per year. No foundry on the planet can commit to that volume on Tesla’s timeline.
If it works, Tesla becomes one of maybe 4 entities on Earth that can produce frontier AI silicon in-house, and the only one that also builds the robots and cars. It would be game over
Elon’s trying to build a 2nm chip fab from scratch. The most advanced process node on Earth.
Only 3 companies can do this. TSMC spent $165 billion on their Arizona cluster alone. It took decades of institutional knowledge.
Tesla has manufactured zero semiconductors. Ever.
But they don’t really have a choice choice:
Even in the best-case scenario where TSMC, Samsung, and Micron all max out production for Tesla, it’s still not enough chips for the Optimus and Cybercab roadmap…let alone the rest of the industry
The AI5 chip this fab is designed to produce has 50x the compute of AI4. They need 100-200 billion of them per year. No foundry on the planet can commit to that volume on Tesla’s timeline.
If it works, Tesla becomes one of maybe 4 entities on Earth that can produce frontier AI silicon in-house, and the only one that also builds the robots and cars. It would be game over
This is straight out of Black Mirror...
DoorDash's new app pays delivery drivers to strap on body cameras and film themselves doing household chores to train AI robots
The tasks:
- Wash five dishes on camera, holding each up to the lens
- Film yourself folding laundry
- Record an unscripted conversation in Spanish
- Walk a grocery aisle filming every shelf
- A few bucks per clip
DoorDash feeds this into AI and robotics models, and sells the data to partners across tech, retail, and hospitality.
They have 8 million drivers across nearly every zip code in America. It's a real world data collection machine no AI lab could replicate.
Meanwhile, DoorDash is actively deploying autonomous delivery robots in Arizona. Partnered with Waymo for driverless deliveries in Phoenix. Signed a deal with Serve Robotics for sidewalk bots in LA. Committed to commercializing autonomous delivery this year.
Uber and Instacart are running the same playbook. Voice recordings. Photo uploads. Wrist mounted cameras capturing every hand movement while workers cook dinner. The entire gig industry is converting its workforce into AI training data.
Funny side note: DoorDash also pays drivers $11 to close Waymo car doors the robot can't close itself
The most valuable new gig might just be showing a machine how to do yours. Wild times
DoorDash's new app pays delivery drivers to strap on body cameras and film themselves doing household chores to train AI robots
The tasks:
- Wash five dishes on camera, holding each up to the lens
- Film yourself folding laundry
- Record an unscripted conversation in Spanish
- Walk a grocery aisle filming every shelf
- A few bucks per clip
DoorDash feeds this into AI and robotics models, and sells the data to partners across tech, retail, and hospitality.
They have 8 million drivers across nearly every zip code in America. It's a real world data collection machine no AI lab could replicate.
Meanwhile, DoorDash is actively deploying autonomous delivery robots in Arizona. Partnered with Waymo for driverless deliveries in Phoenix. Signed a deal with Serve Robotics for sidewalk bots in LA. Committed to commercializing autonomous delivery this year.
Uber and Instacart are running the same playbook. Voice recordings. Photo uploads. Wrist mounted cameras capturing every hand movement while workers cook dinner. The entire gig industry is converting its workforce into AI training data.
Funny side note: DoorDash also pays drivers $11 to close Waymo car doors the robot can't close itself
The most valuable new gig might just be showing a machine how to do yours. Wild times
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🇨🇭 Global One SI - Prompt
BAIC just unveiled a serious sodium-ion battery breakthrough 🔥 • Cell energy density >170 Wh/kg (prismatic cells) • 4C fast charging → full in ~11 minutes • Operates from -40°C to +60°C • Still delivers >92% output at -20°C • Extreme safety: no fire or explosion…
🚨 BREAKING: China’s BAIC has unveiled a new sodium-ion battery that can go from 0 to full in just 11 minutes using 4C fast charging.
That alone is impressive, but here’s what makes it interesting 👀
It delivers around 170 Wh/kg energy density, putting it close to today’s LFP lithium batteries, meaning this isn’t just experimental tech, it’s already in the usable range.
Even more surprising, it handles extreme conditions extremely well, retaining over 92% capacity at −20°C, where most batteries start to struggle.
And instead of relying on scarce materials, this battery uses sodium, which is far more abundant and cheaper.
On top of that, it shows strong safety performance, surviving 200% overcharge and high temperature stress without catching fire.
This could make EVs cheaper, safer and significantly faster to charge.
That alone is impressive, but here’s what makes it interesting 👀
It delivers around 170 Wh/kg energy density, putting it close to today’s LFP lithium batteries, meaning this isn’t just experimental tech, it’s already in the usable range.
Even more surprising, it handles extreme conditions extremely well, retaining over 92% capacity at −20°C, where most batteries start to struggle.
And instead of relying on scarce materials, this battery uses sodium, which is far more abundant and cheaper.
On top of that, it shows strong safety performance, surviving 200% overcharge and high temperature stress without catching fire.
This could make EVs cheaper, safer and significantly faster to charge.
AI, EVs, 5G, AR — the future is being built in these 10 semiconductor plays
$POET — Photonics Engine for AI
AI supercomputers need speed. POET moves data faster than any silicon can.
$NVTS — Powering AI & EVs
Next-gen GaN chips for GPUs, EVs, and AI datacenters. Efficiency = massive demand.
$INDI — Brains of Autonomous Cars
ADAS + EV chips that think for the car. Autonomous driving runs on INDI.
$MX — Hidden Semiconductor Cash Machine
Small, undervalued, real revenue. Quietly compounding while others chase hype.
$SQNS — 5G IoT Sleeper
The backbone of 5G devices. Few notice, but everyone will use it soon.
$VLN — The Smart Machine Data Highway. Automotive and industrial connectivity made simple. Data moves seamlessly.
$LAES — Quantum-Secure Chips
Next-gen encryption for AI & quantum-proof systems. Early, small, huge upside.
$SMTK — Flexible Displays That Could Change Everything. AR, VR, and foldables rely on tech like this. A tiny player with moonshot potential.
$CAN — Crypto + AI Chips Hybrid
Mining, compute, AI acceleration — all in one under-the-radar chip play.
$KOPN — AR & Defense Microdisplays. Microdisplays for wearables and defense. Quietly critical tech no one’s watching… yet.
DYOR
$POET — Photonics Engine for AI
AI supercomputers need speed. POET moves data faster than any silicon can.
$NVTS — Powering AI & EVs
Next-gen GaN chips for GPUs, EVs, and AI datacenters. Efficiency = massive demand.
$INDI — Brains of Autonomous Cars
ADAS + EV chips that think for the car. Autonomous driving runs on INDI.
$MX — Hidden Semiconductor Cash Machine
Small, undervalued, real revenue. Quietly compounding while others chase hype.
$SQNS — 5G IoT Sleeper
The backbone of 5G devices. Few notice, but everyone will use it soon.
$VLN — The Smart Machine Data Highway. Automotive and industrial connectivity made simple. Data moves seamlessly.
$LAES — Quantum-Secure Chips
Next-gen encryption for AI & quantum-proof systems. Early, small, huge upside.
$SMTK — Flexible Displays That Could Change Everything. AR, VR, and foldables rely on tech like this. A tiny player with moonshot potential.
$CAN — Crypto + AI Chips Hybrid
Mining, compute, AI acceleration — all in one under-the-radar chip play.
$KOPN — AR & Defense Microdisplays. Microdisplays for wearables and defense. Quietly critical tech no one’s watching… yet.
DYOR