🇨🇭 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.
✍1
🇨🇭 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
✍1
🇨🇭 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
$LIDR $OUST $AEVA 🔥
Been digging deeper into 4D Physical AI and World Models after Jensen’s comments - LIDAR is the real bottleneck.
Physical AI (robots, humanoids, AVs, drones, smart factories) needs true 3D world understanding that actually works in the real world.
Cameras alone fail at night, fog, rain or glare and don’t give reliable depth + velocity. LIDAR delivers precise point clouds with instant speed data and all-weather reliability. It’s the nervous system for safe, scalable autonomy and embodied AI.
This market is exploding as the next big supply-chain shift after chips and batteries.
Here are my top 3 LIDAR plays I’m watching closest for the Physical AI boom.
$LIDR
Software-defined iDAR that adaptively scans only what matters (up to 3000× faster revisit rates). Apollo already hits 1 km, new Stratos pushes to 1.5 km detection, even through windshields and bad weather. Phone-sized but insanely intelligent. Perfect for trucks, highways and high-speed autonomy where seeing far ahead is everything. This isn’t dumb ranging - it’s smart vision built in.
$OUST
The rugged digital solid-state workhorse for real-world robotics and infrastructure. True 360° vision, built tough for warehouses, robot fleets and smart cities. Just picked up StereoLabs to stack full perception (lidar + AI vision).
Gemini software platform = recurring revenue. Diversified beyond autos and heading toward profitability fast. The all-rounder that actually makes physical robots “see” reliably day in, day out.
$AEVA
The 4D FMCW leader, doesn’t just measure distance - gives instant velocity per point via Doppler shift + ultra-high resolution. No ghosting, no interference. Brand-new Omni sensor is purpose-built for short-range Physical AI (robots, drones, factories) while Atlas integrates into windshields with big NVIDIA DRIVE ties. This tech makes tracking, classification and deterministic decisions way safer and faster - exactly what World Models need.
These three US companies aren’t just selling sensors - they’re building the actual eyes + brain for the robotics/AI explosion.
Fundamentals are still early/venture-like, but if Physical AI takes off like I expect, the upside is stupid.
Been digging deeper into 4D Physical AI and World Models after Jensen’s comments - LIDAR is the real bottleneck.
Physical AI (robots, humanoids, AVs, drones, smart factories) needs true 3D world understanding that actually works in the real world.
Cameras alone fail at night, fog, rain or glare and don’t give reliable depth + velocity. LIDAR delivers precise point clouds with instant speed data and all-weather reliability. It’s the nervous system for safe, scalable autonomy and embodied AI.
This market is exploding as the next big supply-chain shift after chips and batteries.
Here are my top 3 LIDAR plays I’m watching closest for the Physical AI boom.
$LIDR
Software-defined iDAR that adaptively scans only what matters (up to 3000× faster revisit rates). Apollo already hits 1 km, new Stratos pushes to 1.5 km detection, even through windshields and bad weather. Phone-sized but insanely intelligent. Perfect for trucks, highways and high-speed autonomy where seeing far ahead is everything. This isn’t dumb ranging - it’s smart vision built in.
$OUST
The rugged digital solid-state workhorse for real-world robotics and infrastructure. True 360° vision, built tough for warehouses, robot fleets and smart cities. Just picked up StereoLabs to stack full perception (lidar + AI vision).
Gemini software platform = recurring revenue. Diversified beyond autos and heading toward profitability fast. The all-rounder that actually makes physical robots “see” reliably day in, day out.
$AEVA
The 4D FMCW leader, doesn’t just measure distance - gives instant velocity per point via Doppler shift + ultra-high resolution. No ghosting, no interference. Brand-new Omni sensor is purpose-built for short-range Physical AI (robots, drones, factories) while Atlas integrates into windshields with big NVIDIA DRIVE ties. This tech makes tracking, classification and deterministic decisions way safer and faster - exactly what World Models need.
These three US companies aren’t just selling sensors - they’re building the actual eyes + brain for the robotics/AI explosion.
Fundamentals are still early/venture-like, but if Physical AI takes off like I expect, the upside is stupid.