🇨🇭 Global One SI - Prompt
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If you want to understand where the real money is going to be made in the 6G buildout, stop staring at software valuations and look at what $NVDA NVIDIA is doing to the physical cell tower. 📡🌐⚡
A massive piece out of Light Reading just pulled back the curtain on NVIDIA’s radical new AI-RAN playbook.
🧠 The News: NVIDIA is moving past ground-level servers and designing a low-power, programmable GPU chip to go directly up on the mast inside the Radio Unit (RU) itself. As we transition to 6G "Ultra-MIMO," physical antennas will require 32x more local processing power to handle dense beamforming math. NVIDIA wants to completely replace legacy, rigid ASICs with programmable, software-defined silicon.
🤝 The Alliances: NVIDIA isn’t doing this alone—they’ve teamed up with telecom silicon giant $MRVL Marvell Technology to adapt their processors for this accelerated GPU architecture.
💡 The Missing Link to $AMPG:
Wall Street is still sleeping on how directly this macro shift impacts AmpliTech. NVIDIA can build the greatest software-defined chip architecture on earth, but an AI-RAN chip is completely useless without a physical, ultra-high-capacity radio fabric to plug into.
Look at the facts on the tape:
1️⃣ The Only Option: AmpliTech is the only domestic manufacturer that has successfully commercialized a certified O-RAN Category B 64T64R Massive MIMO radio unit capable of feeding these high-fidelity telemetry loops.
2️⃣ Already Hardcoded: This isn't theoretical. Just look at the recent GENESIS AI system from Northeastern University or the Open6G Global PlugFest results. When academia and researchers built the world's first open-source AI-RAN prototype to test this exact future, they plugged NVIDIA AI Aerial software directly into AmpliTech’s physical hardware.
The Big Picture: NVIDIA and Marvell are building the digital brain for the next generation of software-defined 6G cell towers. AmpliTech owns the physical, low-noise radio muscle required to carry those signals over the air.
As the entire telecom supply chain shifts away from rigid legacy hardware toward NVIDIA-driven, open-architecture AI-RAN, a sub-$200M pure-play hardware bottleneck like $AMPG becomes an incredibly high-value piece of real estate. The structural re-rating is inevitable. 📈🚀💎
lightreading.com/6g/nvidia-has-a-radical-new-ai-ran-plan-a-6g-radio-unit-chip
#AIRAN #6G #Semiconductors
A massive piece out of Light Reading just pulled back the curtain on NVIDIA’s radical new AI-RAN playbook.
🧠 The News: NVIDIA is moving past ground-level servers and designing a low-power, programmable GPU chip to go directly up on the mast inside the Radio Unit (RU) itself. As we transition to 6G "Ultra-MIMO," physical antennas will require 32x more local processing power to handle dense beamforming math. NVIDIA wants to completely replace legacy, rigid ASICs with programmable, software-defined silicon.
🤝 The Alliances: NVIDIA isn’t doing this alone—they’ve teamed up with telecom silicon giant $MRVL Marvell Technology to adapt their processors for this accelerated GPU architecture.
💡 The Missing Link to $AMPG:
Wall Street is still sleeping on how directly this macro shift impacts AmpliTech. NVIDIA can build the greatest software-defined chip architecture on earth, but an AI-RAN chip is completely useless without a physical, ultra-high-capacity radio fabric to plug into.
Look at the facts on the tape:
1️⃣ The Only Option: AmpliTech is the only domestic manufacturer that has successfully commercialized a certified O-RAN Category B 64T64R Massive MIMO radio unit capable of feeding these high-fidelity telemetry loops.
2️⃣ Already Hardcoded: This isn't theoretical. Just look at the recent GENESIS AI system from Northeastern University or the Open6G Global PlugFest results. When academia and researchers built the world's first open-source AI-RAN prototype to test this exact future, they plugged NVIDIA AI Aerial software directly into AmpliTech’s physical hardware.
The Big Picture: NVIDIA and Marvell are building the digital brain for the next generation of software-defined 6G cell towers. AmpliTech owns the physical, low-noise radio muscle required to carry those signals over the air.
As the entire telecom supply chain shifts away from rigid legacy hardware toward NVIDIA-driven, open-architecture AI-RAN, a sub-$200M pure-play hardware bottleneck like $AMPG becomes an incredibly high-value piece of real estate. The structural re-rating is inevitable. 📈🚀💎
lightreading.com/6g/nvidia-has-a-radical-new-ai-ran-plan-a-6g-radio-unit-chip
#AIRAN #6G #Semiconductors
Huge win for $SIVE 🔥
The company just locked in a massive $8.2 million production order from All.Space for 2027.
This isn't just another contract, it’s the official pivot from development to high-volume commercial rollout.
All.Space ( $YSS ) is a major player providing multi-orbit terminals for heavyweights like the U.S. Military.
$SIVE delivering the core Ka-band chips for this tech proves their hardware is elite and commercially ready.
This is a massive validation of $SIVE.
The company just locked in a massive $8.2 million production order from All.Space for 2027.
This isn't just another contract, it’s the official pivot from development to high-volume commercial rollout.
All.Space ( $YSS ) is a major player providing multi-orbit terminals for heavyweights like the U.S. Military.
$SIVE delivering the core Ka-band chips for this tech proves their hardware is elite and commercially ready.
This is a massive validation of $SIVE.
🇨🇭 Global One SI - Prompt
$OUST/USD H2 #Indicator #Signal #Trading #GlobalOneAI
I bought the dip on $OUST, $PENG, and $VOYG today.
The long-term investment thesis for these companies hasn't changed at all.
Right now, we are seeing a broad market sell-off rather than issues with these individual stocks.
Historically, investors who consistently take advantage of massive dips throughout the year tend to build significantly market-beating portfolios.
In the end, successful investing comes down to psychology, conviction, and patience.
Each of these three positions brings a unique, high-conviction catalyst to the table.
Ouster is a pioneer in digital 3D LiDAR sensors, providing the essential visual technology that drives the future of autonomous vehicles, robotics, and smart infrastructure.
Penguin Solutions acts as a critical backbone for the AI boom by deploying specialized high-performance computing hardware and enterprise infrastructure.
Meanwhile, Voyager Technologies is a major player in the aerospace and defense sector, shaping the future of space exploration through high-profile projects like the Starlab commercial space station and NASA's Artemis lunar missions.
The long-term investment thesis for these companies hasn't changed at all.
Right now, we are seeing a broad market sell-off rather than issues with these individual stocks.
Historically, investors who consistently take advantage of massive dips throughout the year tend to build significantly market-beating portfolios.
In the end, successful investing comes down to psychology, conviction, and patience.
Each of these three positions brings a unique, high-conviction catalyst to the table.
Ouster is a pioneer in digital 3D LiDAR sensors, providing the essential visual technology that drives the future of autonomous vehicles, robotics, and smart infrastructure.
Penguin Solutions acts as a critical backbone for the AI boom by deploying specialized high-performance computing hardware and enterprise infrastructure.
Meanwhile, Voyager Technologies is a major player in the aerospace and defense sector, shaping the future of space exploration through high-profile projects like the Starlab commercial space station and NASA's Artemis lunar missions.
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🇨🇭 Global One SI - Prompt
$300 BILLION SOFTBANK CEO PREDICTS AI WILL BE 50X BIGGER THAN THE DOT-COM BOOM "THIS IS THE BIGGEST REVOLUTION OF TECHNOLOGY THAT MANKIND HAS EVER EXPERIENCED" "THE PEAK OF THE DOT-COM BUBBLE WAS LIKE A SMALL HILL"
SoftBank shares fall 9% after its attempt secure a $6 billion margin loan backed by its stake in OpenAI fails.
🇨🇭 Global One SI - Prompt
🇺🇸 Bret Johnsen says Starship, Starlink, and massive data centers are becoming the backbone of the next technological era. As AI's demand for computing power explodes, SpaceX is building the infrastructure to connect, power, and scale it globally. The race…
A single Starship launch will deploy 60 next-gen #Starlink V3 satellites and add 61,000 Gbps of network capacity. By comparison, a Falcon 9 carrying 27 Starlink V2 satellites adds 2,600 Gbps.
In other words, one Starship launch will add as much capacity as 23 Falcon 9 launches combined.
Just 10 Starship launches carrying Starlink V3 satellites will add as much network capacity as the entire Starlink network has today. Absolutely wild.
In other words, one Starship launch will add as much capacity as 23 Falcon 9 launches combined.
Just 10 Starship launches carrying Starlink V3 satellites will add as much network capacity as the entire Starlink network has today. Absolutely wild.
🇨🇭 Global One SI - Prompt
A single Starship launch will deploy 60 next-gen #Starlink V3 satellites and add 61,000 Gbps of network capacity. By comparison, a Falcon 9 carrying 27 Starlink V2 satellites adds 2,600 Gbps. In other words, one Starship launch will add as much capacity as…
Here’s the chart for current mass to orbit in the Falcon era vs projected mass to orbit after Starship rapid reusability
It’s the difference between “getting to space” and actually industrializing space
Before Starship, during the Falcon era, mass to orbit grew steadily - reaching around 2,200 metric tonnes per year by 2025
Impressive
But after Starship rapid reusability, the projection moves into a completely different universe
We’re talking millions of tonnes to orbit
By 2032, annual mass to orbit could exceed 2.2 million metric tonnes
That is a 1,000x+ leap in capability
Starship turns launch from a rare, expensive event into something routine, reusable, and scalable
Humanity goes from sending hundreds or thousands of tonnes to orbit…
To sending millions
That is the infrastructure layer that makes massive orbital data centers, Mars missions, giant space habitats, and deep-space exploration actually realistic
Falcon 9 opened the door to space
Starship is how we start building there
It’s the difference between “getting to space” and actually industrializing space
Before Starship, during the Falcon era, mass to orbit grew steadily - reaching around 2,200 metric tonnes per year by 2025
Impressive
But after Starship rapid reusability, the projection moves into a completely different universe
We’re talking millions of tonnes to orbit
By 2032, annual mass to orbit could exceed 2.2 million metric tonnes
That is a 1,000x+ leap in capability
Starship turns launch from a rare, expensive event into something routine, reusable, and scalable
Humanity goes from sending hundreds or thousands of tonnes to orbit…
To sending millions
That is the infrastructure layer that makes massive orbital data centers, Mars missions, giant space habitats, and deep-space exploration actually realistic
Falcon 9 opened the door to space
Starship is how we start building there
🇨🇭 Global One SI - Prompt
Terafab – SpaceX, Tesla, and xAI’s Vertically Integrated 1 TW AI Chip Megafactory: Engineering Scale, Supply-Chain Leverage, and Multiplanetary Implications The numbers behind Terafab do not look incremental until you map them against current global semiconductor…
🚨NVIDIA'S BIGGEST CUSTOMER IS QUIETLY BUILDING THE WEAPON TO STOP NEEDING THEM.. TESLA JUST TAPED OUT A CHIP IT WILL NEVER SELL TO ANYONE.. IN A FAB BIGGER THAN THE ENTIRE US CHIPS ACT..
Today Elon posted that Tesla's AI6 chip "might set a record for most amount of usable intelligence from a wafer when factoring in yield"..
That sounds like hype.. Until you look at what Tesla just built underneath it..
Start with the chip itself..
Tesla's previous chip, AI5, taped out in April.. 45 days ahead of schedule.. A single one has roughly 5 times the useful compute of a dual-chip AI4..
In Tesla's own framing, one AI5 is about NVIDIA H100 class.. A dual setup is Blackwell class.. Except in Elon's words it "costs peanuts and uses much less power"..
An H100 burns around 700 watts.. Blackwell can hit 1,200 plus.. Tesla's chip targets the 200 to 300 watt range for the same workloads..
Now AI6 doubles that again..
True 2x performance over AI5.. In the exact same die size.. Built on Samsung's 2nm fab in Texas.. With a version after it on TSMC 2nm in Arizona..
The clever part is the memory.. Tesla dedicated roughly half the chip's AI accelerators to on-chip SRAM.. Which gives it about 10 times the effective memory bandwidth of standard DRAM for cached work.. Memory bandwidth is the real bottleneck in AI.. And they just blew it wide open..
But the chip isn't the actual story..
The real bomb is how Tesla is making them..
Tesla, SpaceX, and xAI are building something called Terafab.. A chip manufacturing complex so large that its first phase alone is bigger than the entire US CHIPS Act.. The $53 billion government program meant to rebuild American chip making..
One company's single phase.. Larger than the whole national effort..
The goal is thousands of acres.. Over 10 gigawatts of power.. And what they describe as terawatts of compute..
Here's the line that should terrify NVIDIA..
The AI5 chip will never be sold to anyone outside Tesla.. Not one unit..
As one analyst put it.. This is the part of vertical integration that NVIDIA can't price into its forward guidance..
Think about what that means.. Tesla still buys billions in NVIDIA chips for training.. But the massive scale.. The inference running in every car, every Optimus robot, every future device.. That's now 100% Tesla silicon..
No NVIDIA tax.. No vendor lock-in.. No markup..
And AI6 folds in training capability too.. Meaning one chip architecture for both training and inference.. All of Tesla's silicon talent focused on making a single chip instead of splitting across many..
The industry has spent years assuming NVIDIA's moat is permanent.. That nobody can match the performance or the ecosystem..
Tesla isn't trying to beat NVIDIA at its own game..
It's building a chip only it can use.. In a fab bigger than the US government's.. Powered like a small country..
The most dangerous competitor isn't the one selling a better product..
It's the one that stops buying yours.
Today Elon posted that Tesla's AI6 chip "might set a record for most amount of usable intelligence from a wafer when factoring in yield"..
That sounds like hype.. Until you look at what Tesla just built underneath it..
Start with the chip itself..
Tesla's previous chip, AI5, taped out in April.. 45 days ahead of schedule.. A single one has roughly 5 times the useful compute of a dual-chip AI4..
In Tesla's own framing, one AI5 is about NVIDIA H100 class.. A dual setup is Blackwell class.. Except in Elon's words it "costs peanuts and uses much less power"..
An H100 burns around 700 watts.. Blackwell can hit 1,200 plus.. Tesla's chip targets the 200 to 300 watt range for the same workloads..
Now AI6 doubles that again..
True 2x performance over AI5.. In the exact same die size.. Built on Samsung's 2nm fab in Texas.. With a version after it on TSMC 2nm in Arizona..
The clever part is the memory.. Tesla dedicated roughly half the chip's AI accelerators to on-chip SRAM.. Which gives it about 10 times the effective memory bandwidth of standard DRAM for cached work.. Memory bandwidth is the real bottleneck in AI.. And they just blew it wide open..
But the chip isn't the actual story..
The real bomb is how Tesla is making them..
Tesla, SpaceX, and xAI are building something called Terafab.. A chip manufacturing complex so large that its first phase alone is bigger than the entire US CHIPS Act.. The $53 billion government program meant to rebuild American chip making..
One company's single phase.. Larger than the whole national effort..
The goal is thousands of acres.. Over 10 gigawatts of power.. And what they describe as terawatts of compute..
Here's the line that should terrify NVIDIA..
The AI5 chip will never be sold to anyone outside Tesla.. Not one unit..
As one analyst put it.. This is the part of vertical integration that NVIDIA can't price into its forward guidance..
Think about what that means.. Tesla still buys billions in NVIDIA chips for training.. But the massive scale.. The inference running in every car, every Optimus robot, every future device.. That's now 100% Tesla silicon..
No NVIDIA tax.. No vendor lock-in.. No markup..
And AI6 folds in training capability too.. Meaning one chip architecture for both training and inference.. All of Tesla's silicon talent focused on making a single chip instead of splitting across many..
The industry has spent years assuming NVIDIA's moat is permanent.. That nobody can match the performance or the ecosystem..
Tesla isn't trying to beat NVIDIA at its own game..
It's building a chip only it can use.. In a fab bigger than the US government's.. Powered like a small country..
The most dangerous competitor isn't the one selling a better product..
It's the one that stops buying yours.
🇨🇭 Global One SI - Prompt
Workflow: Claude + Kimi Agent Swarm Claude acts as the brain Kimi’s swarm acts as the hands. 1. Input : Client brief arrives (e.g., “Analyze 5 competitors”). 2. Claude Plans : Breaks the job into parallel units and writes a precise swarm brief: goal, deliverable…
Magnetar Capital, the $18B hedge fund company, will avoid human analysts in its newest offering and rely on hundreds of AI agents for stock research.
The $18B hedge fund firm wants AI to search for ideas, study companies, recommend positions, and forecast trends, while people still approve trades.
The $18B hedge fund firm wants AI to search for ideas, study companies, recommend positions, and forecast trends, while people still approve trades.
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🇨🇭 Global One SI - Prompt
🚨BREAKING: CHINA IS AGI-PILLED NOW China has made AI a national-security project and is planning to spend $295 billion to build AI data centers that run 80% on domestic technology The plan: - 2 trillion yuan over five years - funded by govt debt and long…
China is preparing a $295B national AI infrastructure plan that would turn data centers, telecom carriers, and domestic chips into one state-backed computing network.
State firms like China Mobile and China Telecom would operate much of this system, which means AI infrastructure becomes closer to railways, power grids, or telecom networks than normal private cloud expansion.
The idea is to rely on local suppliers, including Huawei Technologies for at least 80% of technology such as AI chips.
State firms like China Mobile and China Telecom would operate much of this system, which means AI infrastructure becomes closer to railways, power grids, or telecom networks than normal private cloud expansion.
The idea is to rely on local suppliers, including Huawei Technologies for at least 80% of technology such as AI chips.
🇨🇭 Global One SI - Prompt
📣 Claude Fable 5, the first in #AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot. It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in #code or the GitHub Copilot app. ⬇️…
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How to build powerful agentic skills inside of Claude:
(easiest way to start automating your life - save this)
METHOD ONE: Steal from a marketplace
The fastest way to build your first Skill is to not build it from scratch at all.
1. Go to Skills.com (1.5M+ Skills)
2. Find a Skill you like
3. Copy the description (don't download it)
4. Paste this prompt into Claude:
"I found this skill online. Review it for anything suspicious or malicious, then rebuild a clean version I can safely install."
Claude rebuilds it safely. You install it.
METHOD TWO: Build from scratch
Use this prompt structure:
Name: [skill name + slash command]
Purpose: [what it does in one sentence]
Behavior: [how Claude should act]
Questions: [what it asks before responding]
Output format: [exactly how it should look]
Constraints: [what it must never do]
"Build me a complete skill file I can save and use immediately."
THE ITERATION LOOP
Round 1: Build the first draft
Round 2: Test it with a real task
Round 3: Feed Claude specific feedback and rebuild
Skills worth building right now:
/morning-brief: pulls Notion, Gmail, Calendar into one daily briefing
/tweet: writes in your voice from a rough idea
/deep-dive: full research report on any topic
/decision-framework: runs any decision through a structured framework
/market-brief: daily crypto/macro summary
/coach: personal coach for any challenge
The easiest way to start automating your life with Claude. Bookmark this.
(easiest way to start automating your life - save this)
METHOD ONE: Steal from a marketplace
The fastest way to build your first Skill is to not build it from scratch at all.
1. Go to Skills.com (1.5M+ Skills)
2. Find a Skill you like
3. Copy the description (don't download it)
4. Paste this prompt into Claude:
"I found this skill online. Review it for anything suspicious or malicious, then rebuild a clean version I can safely install."
Claude rebuilds it safely. You install it.
METHOD TWO: Build from scratch
Use this prompt structure:
Name: [skill name + slash command]
Purpose: [what it does in one sentence]
Behavior: [how Claude should act]
Questions: [what it asks before responding]
Output format: [exactly how it should look]
Constraints: [what it must never do]
"Build me a complete skill file I can save and use immediately."
THE ITERATION LOOP
Round 1: Build the first draft
Round 2: Test it with a real task
Round 3: Feed Claude specific feedback and rebuild
Skills worth building right now:
/morning-brief: pulls Notion, Gmail, Calendar into one daily briefing
/tweet: writes in your voice from a rough idea
/deep-dive: full research report on any topic
/decision-framework: runs any decision through a structured framework
/market-brief: daily crypto/macro summary
/coach: personal coach for any challenge
The easiest way to start automating your life with Claude. Bookmark this.
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🇨🇭 Global One SI - Prompt
The world's most powerful AI model is here. Pairing Claude Fable (Mythos) with /loop + ultracode is insane... The future of AI is right in front of our eyes. Here's EVERYTHING you need to know about the new model (you'll want to save this)
wtf is a loop?
(explain like I'm 5):
(explain like I'm 5):
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🇨🇭 Global One SI - Prompt
Here’s the chart for current mass to orbit in the Falcon era vs projected mass to orbit after Starship rapid reusability It’s the difference between “getting to space” and actually industrializing space Before Starship, during the Falcon era, mass to orbit…
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The future of data centers is in orbit.
🇨🇭 Global One SI - Prompt
🚨 Physicists believe you can expand your consciousness and enhance your perception to see different layers of reality. Quantum-enhanced humans might see further domains of reality than we could ever imagine.
🚨 Wormholes are not shortcuts through the universe, but bridges between the future and the past, new study suggests.
🇨🇭 Global One SI - Prompt
$SIVE/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$SIVE The biggest mistake retail investors make is selling out of fear right into the hands of institutional buyers.
Look at the recent moves.
While the general market is panicking, BlackRock, Fidelity, and JP Morgan are quietly absorbing the volume.
Fidelity established their presence weeks ago, and now JP Morgan and BlackRock are securing massive stakes.
They want you to sell so they can buy cheaper.
Don't let them play you.
Look at the recent moves.
While the general market is panicking, BlackRock, Fidelity, and JP Morgan are quietly absorbing the volume.
Fidelity established their presence weeks ago, and now JP Morgan and BlackRock are securing massive stakes.
They want you to sell so they can buy cheaper.
Don't let them play you.
🇨🇭 Global One SI - Prompt
$SIVE The biggest mistake retail investors make is selling out of fear right into the hands of institutional buyers. Look at the recent moves. While the general market is panicking, BlackRock, Fidelity, and JP Morgan are quietly absorbing the volume. Fidelity…
Just seen both BlackRock and Fidelity showing up as $SIVE institutional ownership? Is this completely new?
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The fusion boom is coming.