🇨🇭 Global One SI - Prompt
Elon Musk Net Worth Since 2000 💰 🇺🇸 2000 ⟶ 💵 $28M 🇺🇸 2001 ⟶ 💵 $34M 🇺🇸 2002 ⟶ 💵 $180M 🇺🇸 2003 ⟶ 💵 $160M 🇺🇸 2004 ⟶ 💵 $210M 🇺🇸 2005 ⟶ 💵 $250M 🇺🇸 2006 ⟶ 💵 $320M 🇺🇸 2007 ⟶ 💵 $400M 🇺🇸 2008 ⟶ 💵 $150M 🇺🇸 2009 ⟶ 💵 $350M 🇺🇸 2010 ⟶ 💵 $650M 🇺🇸 2011 ⟶ 💵 $680M 🇺🇸 2012…
Be delusional, so delusional it ends up working out.
🗿1
🇨🇭 Global One SI - Prompt
Be delusional, so delusional it ends up working out.
Next time you think of giving up, remember this photo of Elon in 2008.
Every single AI company has a higher valuation but a lower revenue than any traditional company.
Do the AI investors know something that we don't?
Do the AI investors know something that we don't?
🇨🇭 Global One SI - Prompt
If I had to line up humanoids for the FIFA World Cup this is what I would do. NEO on the left wing because 1X is chasing the home robot role. Optimus as striker because Tesla brings manufacturing pressure. Figure 03 on the right because Figure is pushing…
Unitree whose robots you have all seen only shipped 5,500 last year.
The robotics market is literally going to be thousands of times bigger and likely end up bigger than the entire human labor market.
Especially when they spread to space.
The robotics market is literally going to be thousands of times bigger and likely end up bigger than the entire human labor market.
Especially when they spread to space.
🔥1
$CODA – The early $KRKNF 🔥
Coda Octopus Group is one of the most overlooked deep-tech companies in the small cap universe.
What makes it interesting is not just growth potential - it's the technology moat.
Coda developed the Echoscope real-time 3D/4D sonar, a system capable of producing live volumetric images underwater even in zero visibility.
Very few companies in the world can deliver this capability, which gives Coda something close to a technology monopoly in this niche.
Their systems are used for:
• Naval operations
• Underwater robotics (UUVs)
• Offshore infrastructure inspection
• Search & recovery missions
And the customer list is serious.
Coda technology is used within programs connected to major defense contractors such as:
• Lockheed Martin
• Northrop Grumman
• BAE Systems
as well as government and naval organizations including the U.S. Navy.
On top of that, the company introduced DAVD (Diver Augmented Vision Display) an augmented-reality system that allows divers to see sonar imagery and navigation data directly inside their helmet.
Now combine that with the macro trend:
The underwater robotics and autonomous subsea vehicle market is rapidly expanding, driven by defense spending, offshore energy infrastructure, and subsea monitoring.
Small float.
Profitable.
Defense-grade technology.
Near-monopoly niche.
Sometimes the most interesting companies are the ones operating in the deepest waters.
Coda Octopus Group is one of the most overlooked deep-tech companies in the small cap universe.
What makes it interesting is not just growth potential - it's the technology moat.
Coda developed the Echoscope real-time 3D/4D sonar, a system capable of producing live volumetric images underwater even in zero visibility.
Very few companies in the world can deliver this capability, which gives Coda something close to a technology monopoly in this niche.
Their systems are used for:
• Naval operations
• Underwater robotics (UUVs)
• Offshore infrastructure inspection
• Search & recovery missions
And the customer list is serious.
Coda technology is used within programs connected to major defense contractors such as:
• Lockheed Martin
• Northrop Grumman
• BAE Systems
as well as government and naval organizations including the U.S. Navy.
On top of that, the company introduced DAVD (Diver Augmented Vision Display) an augmented-reality system that allows divers to see sonar imagery and navigation data directly inside their helmet.
Now combine that with the macro trend:
The underwater robotics and autonomous subsea vehicle market is rapidly expanding, driven by defense spending, offshore energy infrastructure, and subsea monitoring.
Small float.
Profitable.
Defense-grade technology.
Near-monopoly niche.
Sometimes the most interesting companies are the ones operating in the deepest waters.
🇨🇭 Global One SI - Prompt
$SPCX has begun trading, making its debut price at $150 per share.
SPACEX $SPCX JUST CROSSED $172 🟢🟢🟢
Will it hold above IPO price?
Will it hold above IPO price?
🇨🇭 Global One SI - Prompt
This media is not supported in your browser
VIEW IN TELEGRAM
Google DeepMind CEO Demis Hassabis on why young people should make themselves "superpowered" with AI tools:
When Hassabis gives talks at universities and schools, his core piece of advice is simple:
Lean all the way into where technology is heading.
"You've got to just go with the flow of the direction," he says. "I would immerse myself in every tool available and just become almost like superpowered with those tools and those capabilities."
His reasoning comes from what he sees inside the frontier labs themselves.
So much effort goes into simply building the next versions of these models that even the people making them can't keep up with everything those models could do.
"Even at the frontier labs, there's so much work that has to go into just making the next versions of these frontier models and then all the adjacent models. So for us, like Veo and Nano Banana and Gemini, even we can only explore a fraction of the applied things you could do with it, the applications you could make with it."
And that gap, #demishassabis explains, is widening:
"I think that gap's getting bigger and bigger, in terms of the overhang of the capabilities, all the cool stuff on the latest models. And the release schedules are getting faster and faster."
This is where Hassabis sees the opportunity.
The people positioned to win aren't necessarily the ones building the models, they're the ones who master the tools and point them at something new.
"The opportunity space is getting huge for people who are really expert at using those tools and then apply it to some new domain."
He puts it in stark terms:
"A kid these days could probably start a multi-billion dollar business in some ways, using these tools in some new way that no one had thought about."
When Hassabis gives talks at universities and schools, his core piece of advice is simple:
Lean all the way into where technology is heading.
"You've got to just go with the flow of the direction," he says. "I would immerse myself in every tool available and just become almost like superpowered with those tools and those capabilities."
His reasoning comes from what he sees inside the frontier labs themselves.
So much effort goes into simply building the next versions of these models that even the people making them can't keep up with everything those models could do.
"Even at the frontier labs, there's so much work that has to go into just making the next versions of these frontier models and then all the adjacent models. So for us, like Veo and Nano Banana and Gemini, even we can only explore a fraction of the applied things you could do with it, the applications you could make with it."
And that gap, #demishassabis explains, is widening:
"I think that gap's getting bigger and bigger, in terms of the overhang of the capabilities, all the cool stuff on the latest models. And the release schedules are getting faster and faster."
This is where Hassabis sees the opportunity.
The people positioned to win aren't necessarily the ones building the models, they're the ones who master the tools and point them at something new.
"The opportunity space is getting huge for people who are really expert at using those tools and then apply it to some new domain."
He puts it in stark terms:
"A kid these days could probably start a multi-billion dollar business in some ways, using these tools in some new way that no one had thought about."
✍1
🇨🇭 Global One SI - Prompt
I think a lot of people are still underestimating what's happening with $AMPG. The AI era is already arriving. And I don't just mean chatbots. I mean AI controlling the physical world. You don't want it to be $ERIC or $NOK. Unless you're European, obviously.…
While the entire timeline is rightfully hyper-focused on the $AMPG 5G Open RAN telecom rollout, social media is completely missing the silent, multi-billion-dollar deep-tech moat hiding right on their balance sheet: Quantum Computing Infrastructure. 🧠🔐❄️
Let's look at the facts the market hasn't priced in yet:
🧊 The Ultimate Physics Problem: To run advanced quantum computing architectures and secure next-gen AI encryption, superconducting quantum processors must operate in extreme deep-freeze environments—specifically at 4 Kelvin (-452°F), which is colder than deep space.
📡 The Sole U.S. Provider: At those near-absolute zero temperatures, standard hardware freezes and drops signals. AmpliTech spent years quietly perfecting proprietary, patented Cryogenic HEMT Low-Noise Amplifiers (LNAs) designed specifically to survive this environment and maintain perfect signal fidelity for quantum calculations. They are currently the only high-performance, U.S.-based manufacturer delivering this hardware.
🏢 The Client List Hiding in Plain Sight: They have already quietly delivered working prototype cryogenic units to two Fortune 50 companies leading the global quantum revolution, alongside elite research universities.
When the street looks at $AMPG, they see a micro-cap telecom company. When you look at the actual intellectual property and U.S. patent portfolio, you see the indispensable, specialized hardware spine that the entire future of Quantum AI and cybersecurity must physically run on. We aren't blinking. Let the engineering speak for itself. 💎🇺🇸🛰️
#QuantumComputing #ValueInvesting #SmallCaps #DeepTech #Alpha
Let's look at the facts the market hasn't priced in yet:
🧊 The Ultimate Physics Problem: To run advanced quantum computing architectures and secure next-gen AI encryption, superconducting quantum processors must operate in extreme deep-freeze environments—specifically at 4 Kelvin (-452°F), which is colder than deep space.
📡 The Sole U.S. Provider: At those near-absolute zero temperatures, standard hardware freezes and drops signals. AmpliTech spent years quietly perfecting proprietary, patented Cryogenic HEMT Low-Noise Amplifiers (LNAs) designed specifically to survive this environment and maintain perfect signal fidelity for quantum calculations. They are currently the only high-performance, U.S.-based manufacturer delivering this hardware.
🏢 The Client List Hiding in Plain Sight: They have already quietly delivered working prototype cryogenic units to two Fortune 50 companies leading the global quantum revolution, alongside elite research universities.
When the street looks at $AMPG, they see a micro-cap telecom company. When you look at the actual intellectual property and U.S. patent portfolio, you see the indispensable, specialized hardware spine that the entire future of Quantum AI and cybersecurity must physically run on. We aren't blinking. Let the engineering speak for itself. 💎🇺🇸🛰️
#QuantumComputing #ValueInvesting #SmallCaps #DeepTech #Alpha
🇨🇭 Global One SI - Prompt
Every time you watch a massive heavy-lift rocket punch through the atmosphere, remember this: launching the payload is only 10% of the battle. The real challenge is maintaining a flawless data link with that asset once it hits orbit. 🚀🛰️🌌 Here is why $AMPG…
When people hear about AmpliTech's proprietary 4-Kelvin Cryogenic LNAs, they immediately think of quantum computing refrigerators.
Here is the part the market misses: Quantum didn't invent the need for cryogenic amplification—deep space exploration did. 🛰️❄️🌌
To capture incredibly faint data signals travelling millions of miles from Mars rovers, deep space probes, or modern low-Earth orbit (LEO) satellite constellations, ground station dishes encounter a brutal law of physics: thermal noise. Standard amplifiers get too hot, drowning out the faint data beam.
By running AmpliTech's cryogenically cooled hardware down to near-absolute zero, global satellite tracking networks drop internal thermal noise to virtually zero.
Whether it’s shielding qubits inside an advanced quantum computing facility or cleanly downloading high-frequency telemetry from an orbital satellite grid, the physical bottleneck remains exactly the same. AmpliTech owns the master key to both of these multi-billion-dollar secular tailwinds. The ultimate deep-tech moat. 💎🇺🇸☕
#SpaceTech #QuantumAI #Satcom #ValueInvesting #FinTwit
Here is the part the market misses: Quantum didn't invent the need for cryogenic amplification—deep space exploration did. 🛰️❄️🌌
To capture incredibly faint data signals travelling millions of miles from Mars rovers, deep space probes, or modern low-Earth orbit (LEO) satellite constellations, ground station dishes encounter a brutal law of physics: thermal noise. Standard amplifiers get too hot, drowning out the faint data beam.
By running AmpliTech's cryogenically cooled hardware down to near-absolute zero, global satellite tracking networks drop internal thermal noise to virtually zero.
Whether it’s shielding qubits inside an advanced quantum computing facility or cleanly downloading high-frequency telemetry from an orbital satellite grid, the physical bottleneck remains exactly the same. AmpliTech owns the master key to both of these multi-billion-dollar secular tailwinds. The ultimate deep-tech moat. 💎🇺🇸☕
#SpaceTech #QuantumAI #Satcom #ValueInvesting #FinTwit
🇨🇭 Global One SI - Prompt
Private markets are still pouring capital into robotics. Simultaneously, many of China’s leading robotics companies are lining up for IPOs. This is not exhaustive. These are major and recent IPO signals; many more, especially in the supporting stack, are…
Engineering is freakin mesmerizing in every way and form
This media is not supported in your browser
VIEW IN TELEGRAM
Engineering is real magic
For rockets, what’s better:
more engines or bigger engines?
#SaturnV
#NewGlenn
#Starship
1. Smaller engines = better use of rocket base.
2. Easier and cheaper to 3D print at scale.
3. More engines = higher redundancy and safety.
4. Easier thrust control for precise landings.
33 Raptors fit Starship’s design perfectly.
more engines or bigger engines?
#SaturnV
#NewGlenn
#Starship
1. Smaller engines = better use of rocket base.
2. Easier and cheaper to 3D print at scale.
3. More engines = higher redundancy and safety.
4. Easier thrust control for precise landings.
33 Raptors fit Starship’s design perfectly.