🇨🇭 Global One SI - Prompt
A List of Robotics Stocks: Humanoids $TSLA Tesla $XPEV Xpeng $XIACF Xiaomi $HYMTF Hyundai Logistics $AMZN Amazon $SYM Symbotic Robotics Software $NVDA NVIDIA $PTC PTC Sensors $OUST Ouster $ARBE Arbe Robotics $MVIS MicroVision $AUR Aurora $INVZ Innoviz…
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Holy…S 😳 $XIACF Xiaomi's New CyberOne is so human-like
Although this update features a bionic hand, I was immediately drawn to it.
Let's look at the changes in the hand：
It can handle industrial precision tasks like turning screws, plus delicate operations such as pinching feathers and throwing balloons.
Behind the performance:
>Volume cut by 60%:now almost identical in size/shape to a real human hand
>Big leap in degrees of freedom (+50% total, +83% active:22-27DOF)
>Full-palm tactile sensors over 8200 mm² for precise grip even without vision
>150,000+ grip cycles durability (61-hour test)
And a major innovation:Smart bionic sweat gland cooling: evaporates water for ~10W active heat dissipation
Using tactile gloves to capture real human data, they’re training smoother, human-like grasps with imitation and reinforcement learning.
Elon has said that humanoid hands and true AI are the most difficult aspects of building humanoid robots.
It seems that Xiaomi is also getting close.
Although this update features a bionic hand, I was immediately drawn to it.
Let's look at the changes in the hand：
It can handle industrial precision tasks like turning screws, plus delicate operations such as pinching feathers and throwing balloons.
Behind the performance:
>Volume cut by 60%:now almost identical in size/shape to a real human hand
>Big leap in degrees of freedom (+50% total, +83% active:22-27DOF)
>Full-palm tactile sensors over 8200 mm² for precise grip even without vision
>150,000+ grip cycles durability (61-hour test)
And a major innovation:Smart bionic sweat gland cooling: evaporates water for ~10W active heat dissipation
Using tactile gloves to capture real human data, they’re training smoother, human-like grasps with imitation and reinforcement learning.
Elon has said that humanoid hands and true AI are the most difficult aspects of building humanoid robots.
It seems that Xiaomi is also getting close.
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LimX Dynamics (逐际 Dynamics), a Shenzhen-based tech firm, has teamed up with RealSense and $NVDA NVIDIA to showcase a new autonomous humanoid navigation system.Powered by depth cameras and GPU-accelerated visual SLAM, the system enables robots to localize, map, and navigate real-world environments with greater stability and awareness.
🇨🇭 Global One SI - Prompt
$META/USD H2 #Indicator #Signal #Trading #GlobalOneAI
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$META introduced TRIBE v2 which is a brain-response model trained on 500+ hours of fMRI data from 700+ people to predict neural responses to images, video & sound.
Meta is building something that looks increasingly like a proprietary mind map of human attention & perception.
Meta is building something that looks increasingly like a proprietary mind map of human attention & perception.
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Ready to get smoked at ping-pong by a literal humanoid? 🏓🤖
HKU MMLab just dropped SMASH, a high-dynamic bot that masters pro-level table tennis using nothing but its own onboard cameras.
Ditching external motion capture rigs, SMASH relies entirely on onboard sensors for stable, fully autonomous interaction in unpredictable outdoor settings.
This is a massive leap for embodied intelligence as it finally leaves the sterile lab and hits the pavement in the real world.
SMASH uses Motion-VAE to build a massive strike library for training efficiency and runs a task-aligned policy to nail agile smashes and low crouching shots.
Dying to test your skills against it? Do you think you'd actually win, or would this bot just wreck you on the court?
HKU MMLab just dropped SMASH, a high-dynamic bot that masters pro-level table tennis using nothing but its own onboard cameras.
Ditching external motion capture rigs, SMASH relies entirely on onboard sensors for stable, fully autonomous interaction in unpredictable outdoor settings.
This is a massive leap for embodied intelligence as it finally leaves the sterile lab and hits the pavement in the real world.
SMASH uses Motion-VAE to build a massive strike library for training efficiency and runs a task-aligned policy to nail agile smashes and low crouching shots.
Dying to test your skills against it? Do you think you'd actually win, or would this bot just wreck you on the court?
👀1🗿1
🇨🇭 Global One SI - Prompt
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:…
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🇺🇸🇮🇷 BREAKING: The U.S. military has fired over 850 Tomahawk cruise missiles in just four weeks of operations against Iran, a pace that has raised concerns within the Pentagon about rapidly depleting precision-weapon stockpiles and the ability to sustain long-term conflict.
Source: Washington Post
Source: Washington Post
🚨 Africa is a $3.32 trillion economy in 2026
Yet it holds the resources that could make it $10 trillion if it controlled what's underneath it👇
The biggest economies:
🇿🇦 South Africa $444B
🇪🇬 Egypt $400B
🇳🇬 Nigeria $334B
🇩🇿 Algeria $285B
🇲🇦 Morocco $196B
Now look at what those numbers hide:
🇨🇩 DR Congo $88B GDP
Sits on $24 trillion in mineral wealth.
Cobalt. Copper. Coltan.
Every EV. Every phone. Every weapon.
Runs through here.
🇳🇬 Nigeria $334B GDP
2nd largest oil reserves in Africa.
Still imports refined fuel.
🇩🇿 Algeria $285B
Africa's largest gas exporter.
Europe's new lifeline after Russia.
Here's the brutal truth:
📌 3 countries control 35% of Africa's entire GDP
📌 The richest nations in resources have the poorest GDPs
📌 The wealth leaves. The poverty stays.
Africa doesn't have an economic problem.
It has a value capture problem
Yet it holds the resources that could make it $10 trillion if it controlled what's underneath it👇
The biggest economies:
🇿🇦 South Africa $444B
🇪🇬 Egypt $400B
🇳🇬 Nigeria $334B
🇩🇿 Algeria $285B
🇲🇦 Morocco $196B
Now look at what those numbers hide:
🇨🇩 DR Congo $88B GDP
Sits on $24 trillion in mineral wealth.
Cobalt. Copper. Coltan.
Every EV. Every phone. Every weapon.
Runs through here.
🇳🇬 Nigeria $334B GDP
2nd largest oil reserves in Africa.
Still imports refined fuel.
🇩🇿 Algeria $285B
Africa's largest gas exporter.
Europe's new lifeline after Russia.
Here's the brutal truth:
📌 3 countries control 35% of Africa's entire GDP
📌 The richest nations in resources have the poorest GDPs
📌 The wealth leaves. The poverty stays.
Africa doesn't have an economic problem.
It has a value capture problem
🚨 #Silver inventories are draining across every major exchange on earth
Shanghai, London, COMEX... All crashing at the same time.
Nobody is talking about this👇
📉 Shanghai Gold Exchange near zero
📉 Shanghai Futures Exchange near zero
📉 COMEX down from 15,000 to 10,000 tons
📉 London collapsed from 35,000 to near decade lows
This is physical silver leaving the system.
Silver is the most industrial precious metal on earth.
It sits at the intersection of war, energy and tech.
And right now the vaults are empty. 🎯
Shanghai, London, COMEX... All crashing at the same time.
Nobody is talking about this👇
📉 Shanghai Gold Exchange near zero
📉 Shanghai Futures Exchange near zero
📉 COMEX down from 15,000 to 10,000 tons
📉 London collapsed from 35,000 to near decade lows
This is physical silver leaving the system.
Silver is the most industrial precious metal on earth.
It sits at the intersection of war, energy and tech.
And right now the vaults are empty. 🎯
🇨🇭 Global One SI - Prompt
Holy…S 😳 $XIACF Xiaomi's New CyberOne is so human-like Although this update features a bionic hand, I was immediately drawn to it. Let's look at the changes in the hand： It can handle industrial precision tasks like turning screws, plus delicate operations…
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Xiaomi's New Bionic Hand(🧵)
A key upgrade is full-palm tactile sensing.
Many manipulation tasks happen inside the hand. When vision is occluded, robots lose critical feedback.
Xiaomi’s approach: tactile gloves + human data collection
>Captures tactile signals from fingertips, finger pads, and palm
>Humans can directly perform tasks → large-scale data collection
>Gloves are replaceable → lower wear and easier maintenance
A key upgrade is full-palm tactile sensing.
Many manipulation tasks happen inside the hand. When vision is occluded, robots lose critical feedback.
Xiaomi’s approach: tactile gloves + human data collection
>Captures tactile signals from fingertips, finger pads, and palm
>Humans can directly perform tasks → large-scale data collection
>Gloves are replaceable → lower wear and easier maintenance
$TSLA Tesla and SpaceX are expected to merge in 2027, with the groundwork already in place for the two companies to join forces, according to analysts at Wedbush.
Wedbush stated that the recent announcement of Terafab ties both Tesla and SpaceX together, making it more feasible to merge operations given the overlap now being built out across the two companies, with this as the first step.
"While there are plenty of regulatory hurdles from the FTC and DOJ, this remains Musk’s end goal by owning 25% of TSLA over time as it enters the most important growth chapter in the company’s history"
Wedbush stated that the recent announcement of Terafab ties both Tesla and SpaceX together, making it more feasible to merge operations given the overlap now being built out across the two companies, with this as the first step.
"While there are plenty of regulatory hurdles from the FTC and DOJ, this remains Musk’s end goal by owning 25% of TSLA over time as it enters the most important growth chapter in the company’s history"
Elon is about to pull off the most iconic IPO in history. The hype is comparable to the going public of Google two decades ago
Up to 30% of the SpaceX IPO could be allocated to retail investors. Not just Wall Street, the public gets a real seat at the table.
Bank of America will manage domestic retail distribution.
Up to 30% of the SpaceX IPO could be allocated to retail investors. Not just Wall Street, the public gets a real seat at the table.
Bank of America will manage domestic retail distribution.
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$SILC - The Hidden AI Bottleneck Killer Trading at a Fire Sale Valuation 🔥
At ~$128M market cap, Silicom is one of the most undervalued plays in AI infrastructure right now.
Here’s why it’s massively undervalued:
They hold ~$74M in cash (plus total liquid assets & working capital of $111M) with virtually zero net debt → that’s roughly $13/share in cash alone.
You’re basically getting their entire 35-year high-performance networking business, 400+ active Design Wins, and explosive growth runway for free (or close to it). Enterprise value is absurdly low while the company guides double-digit revenue growth for 2026 and already delivered +17% in Q4 2025.
This isn’t vaporware. Silicom has real products shipping today: multi-100G/400G Ethernet adapters, FPGA SmartNICs, intelligent bypass cards, and Edge platforms that OEMs and hyperscalers actually deploy.
The exact bottleneck they solve:
In the AI Inference boom, the network itself has become the #1 limiter - not the GPUs or chips.
Massive clusters (10k–100k+ GPUs) generate insane east-west traffic for synchronization, model distribution, and low-latency responses. Slow interconnects = GPUs sitting idle, massive inefficiency, and capped performance.
Silicom’s hardware-offload solutions (SmartNICs, FPGA-based inference accelerators, ultra-low-latency adapters) directly bust these bottlenecks: they accelerate data movement, slash latency, improve GPU utilization, and let inference scale without choking the network.
CEO confirmed: already shipping inference-optimized FPGA solutions into hyperscaler PoCs and developing dedicated AI-NICs with a leading chip partner.
Real Tier-1 customers locked in (recent 2026 wins):
One of the world’s largest streaming service providers → Selected high-speed network adapters for their core streaming infrastructure. Initial >$1M order (H1 2026) → expected ~$12M total over 5 years.
Tier-1 Cybersecurity leader (long-time customer) → Chose Silicom Edge system as the platform for their next-gen high-end products. >$1M orders secured for 2026, ramping to ~$2M/year.
Plus ongoing hyperscaler PoCs in AI inference and multiple Edge/Cloud design wins already contributing.
Hyper-Bull Case (3–5 years):
AI Inference + Post-Quantum Crypto + Edge/SASE platforms all ramp → $300M–$500M+ revenue at high margins. At normal growth multiples this becomes a $150 - 300+ per share stock (7–15x upside from here). Venture-style returns with a cash-backed floor.
This is the ultimate asymmetric bet: real AI tailwinds, sticky Design Wins, fortress balance sheet, and dirt-cheap valuation.
At ~$128M market cap, Silicom is one of the most undervalued plays in AI infrastructure right now.
Here’s why it’s massively undervalued:
They hold ~$74M in cash (plus total liquid assets & working capital of $111M) with virtually zero net debt → that’s roughly $13/share in cash alone.
You’re basically getting their entire 35-year high-performance networking business, 400+ active Design Wins, and explosive growth runway for free (or close to it). Enterprise value is absurdly low while the company guides double-digit revenue growth for 2026 and already delivered +17% in Q4 2025.
This isn’t vaporware. Silicom has real products shipping today: multi-100G/400G Ethernet adapters, FPGA SmartNICs, intelligent bypass cards, and Edge platforms that OEMs and hyperscalers actually deploy.
The exact bottleneck they solve:
In the AI Inference boom, the network itself has become the #1 limiter - not the GPUs or chips.
Massive clusters (10k–100k+ GPUs) generate insane east-west traffic for synchronization, model distribution, and low-latency responses. Slow interconnects = GPUs sitting idle, massive inefficiency, and capped performance.
Silicom’s hardware-offload solutions (SmartNICs, FPGA-based inference accelerators, ultra-low-latency adapters) directly bust these bottlenecks: they accelerate data movement, slash latency, improve GPU utilization, and let inference scale without choking the network.
CEO confirmed: already shipping inference-optimized FPGA solutions into hyperscaler PoCs and developing dedicated AI-NICs with a leading chip partner.
Real Tier-1 customers locked in (recent 2026 wins):
One of the world’s largest streaming service providers → Selected high-speed network adapters for their core streaming infrastructure. Initial >$1M order (H1 2026) → expected ~$12M total over 5 years.
Tier-1 Cybersecurity leader (long-time customer) → Chose Silicom Edge system as the platform for their next-gen high-end products. >$1M orders secured for 2026, ramping to ~$2M/year.
Plus ongoing hyperscaler PoCs in AI inference and multiple Edge/Cloud design wins already contributing.
Hyper-Bull Case (3–5 years):
AI Inference + Post-Quantum Crypto + Edge/SASE platforms all ramp → $300M–$500M+ revenue at high margins. At normal growth multiples this becomes a $150 - 300+ per share stock (7–15x upside from here). Venture-style returns with a cash-backed floor.
This is the ultimate asymmetric bet: real AI tailwinds, sticky Design Wins, fortress balance sheet, and dirt-cheap valuation.
✍1
4 UNDER-THE-RADAR HIGH-RISK / HIGH-REWARD AI SUPPLY CHAIN PLAYS THAT ARE MASSIVELY UNDERVALUED RIGHT NOW 🚨
$SILC
These guys build the high-performance server adapters, smart cards, bypass switches and edge platforms that actually make data centers scream. Think encryption offload, traffic management, SD-WAN/SASE/NFV - the unsexy plumbing that lets AI workloads run at full speed without choking. In an era where every hyperscaler is scaling inference clusters like crazy, $SILC’s stuff is the invisible force multiplier. Market is pricing it like a dying legacy play. Reality: it’s core infrastructure for the next leg of AI capex.
$CVV
They design and build the actual CVD (chemical vapor deposition) and thermal process equipment used to create advanced materials for semiconductors, power electronics, nanomaterials and next-gen batteries. This is the factory equipment that makes the exotic wafers and coatings the big boys need. Balance sheet is clean, they’re shipping into aerospace + semi research right now, and the AI-driven material science boom is just getting started.
$SIVE
Photonics + mmWave chips, lasers, integrated modules for high-speed optical interconnects, 5G/6G, satcom and data center CPO (co-packaged optics). This is the exact technology that solves the bandwidth and power wall hyperscalers are hitting as they move beyond copper. I’ve been adding on weakness - the name is still unknown to most, but the midstream supply chain is real and the execution is there.
$VPG
Precision sensors, strain gages, load cells, force measurement systems - the stuff that actually lets you measure, test and control manufacturing processes with insane accuracy. Whether it’s semiconductor fab equipment calibration, aerospace components, or industrial weighing in the supply chain - nothing gets built right without this level of precision. In an AI world that demands tighter tolerances and higher yields, VPG’s tech becomes mission-critical.
All four are micro/small-cap, volatile as hell, execution risk is real - high-risk/high-reward. But when you zoom out, they’re the quiet enablers in the AI supply chain that the big money hasn’t rotated into yet. Tiny valuations, real products shipping today, and massive secular tailwinds.
I’m long all four. The market is still asleep on these names. When the hyperscalers start hunting for the next layer of bottlenecks, these are the ones that get discovered.
$SILC
These guys build the high-performance server adapters, smart cards, bypass switches and edge platforms that actually make data centers scream. Think encryption offload, traffic management, SD-WAN/SASE/NFV - the unsexy plumbing that lets AI workloads run at full speed without choking. In an era where every hyperscaler is scaling inference clusters like crazy, $SILC’s stuff is the invisible force multiplier. Market is pricing it like a dying legacy play. Reality: it’s core infrastructure for the next leg of AI capex.
$CVV
They design and build the actual CVD (chemical vapor deposition) and thermal process equipment used to create advanced materials for semiconductors, power electronics, nanomaterials and next-gen batteries. This is the factory equipment that makes the exotic wafers and coatings the big boys need. Balance sheet is clean, they’re shipping into aerospace + semi research right now, and the AI-driven material science boom is just getting started.
$SIVE
Photonics + mmWave chips, lasers, integrated modules for high-speed optical interconnects, 5G/6G, satcom and data center CPO (co-packaged optics). This is the exact technology that solves the bandwidth and power wall hyperscalers are hitting as they move beyond copper. I’ve been adding on weakness - the name is still unknown to most, but the midstream supply chain is real and the execution is there.
$VPG
Precision sensors, strain gages, load cells, force measurement systems - the stuff that actually lets you measure, test and control manufacturing processes with insane accuracy. Whether it’s semiconductor fab equipment calibration, aerospace components, or industrial weighing in the supply chain - nothing gets built right without this level of precision. In an AI world that demands tighter tolerances and higher yields, VPG’s tech becomes mission-critical.
All four are micro/small-cap, volatile as hell, execution risk is real - high-risk/high-reward. But when you zoom out, they’re the quiet enablers in the AI supply chain that the big money hasn’t rotated into yet. Tiny valuations, real products shipping today, and massive secular tailwinds.
I’m long all four. The market is still asleep on these names. When the hyperscalers start hunting for the next layer of bottlenecks, these are the ones that get discovered.