🇨🇭 Global One SI - Prompt
THIS NUMBER MADE THE REVIEWER GO “WHOA” ON CAMERA AND IT SHOULD MAKE YOU GO WHOA TOO Mac Mini PP score was 563, Strix Halo came in at 342, and DGX Spark hit 2,170 That’s not a small gap, that’s a completely different category of hardware People were judging…
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THIS DEVELOPER CONNECTED 8 NVIDIA DGX SPARKS INTO ONE CLUSTER - AND RAN AN 800GB MODEL THAT MADE HIM 10X MORE PRODUCTIVE
21:47 he says it straight - "this is a terabyte of VRAM - we ran Quen 3.5, 800GB on disk, a model that doesn't even fit on a single Mac Studio - 24 tokens per second - I'd say that's a win"
8 Sparks connected through a $1,300 switch via RDMA over Ethernet - each node adding 128GB of memory into one unified pool of 1TB
started with one Spark at 3 tokens per second - every added node doubled the speed - and eight together deliver 24 tokens on a model that physically cannot run anywhere else
Kimi K2 at 600GB loaded in 15 minutes, 115GB per node, 13 tokens per second - a model that simply cannot run on anything smaller
Claude helped configure the entire cluster - SSH mesh across all 8 machines, network config, jumbo frames, QSFP port speeds - all from one terminal
most people rent cloud compute for models this size at $2,000+/month - he built the cluster once and now every token costs 20x less
21:47 he says it straight - "this is a terabyte of VRAM - we ran Quen 3.5, 800GB on disk, a model that doesn't even fit on a single Mac Studio - 24 tokens per second - I'd say that's a win"
8 Sparks connected through a $1,300 switch via RDMA over Ethernet - each node adding 128GB of memory into one unified pool of 1TB
started with one Spark at 3 tokens per second - every added node doubled the speed - and eight together deliver 24 tokens on a model that physically cannot run anywhere else
Kimi K2 at 600GB loaded in 15 minutes, 115GB per node, 13 tokens per second - a model that simply cannot run on anything smaller
Claude helped configure the entire cluster - SSH mesh across all 8 machines, network config, jumbo frames, QSFP port speeds - all from one terminal
most people rent cloud compute for models this size at $2,000+/month - he built the cluster once and now every token costs 20x less
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🇨🇭 Global One SI - Prompt
A developer makes $14k/month from 4 Mac Minis. Together they run 70B+ models locally more than a single Mac Mini could handle. Most people rent cloud GPUs every month. He paid once and built his own AI cluster. Started with one Mac Mini. Then another.…
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THIS DEVELOPER JUST RAN A TRILLION PARAMETER MODEL ON 4 MAC STUDIOS - 10X FASTER AND 5X CHEAPER THAN CLOUD CODE
19:00 he says it out loud. "we just ran a trillion parameter model. 30 something tokens per second. wow."
RDMA over Thunderbolt made the cluster 10x faster than before. tensor parallelism splits the model between machines in parallel instead of sequentially
DeepSeek V3 full size without quantization. 183GB per machine. still 25 tokens per second. faster than most people can read
Kimi K2 with trillion parameters and 256,000 context window. loaded, responded and adapted memory usage dynamically based on prompt size
4 machines consuming 66 watts total. cloud GPU for the same workload costs $1,900/month
a cluster that used to cost millions now assembled from Mac Studios in a few hours
19:00 he says it out loud. "we just ran a trillion parameter model. 30 something tokens per second. wow."
RDMA over Thunderbolt made the cluster 10x faster than before. tensor parallelism splits the model between machines in parallel instead of sequentially
DeepSeek V3 full size without quantization. 183GB per machine. still 25 tokens per second. faster than most people can read
Kimi K2 with trillion parameters and 256,000 context window. loaded, responded and adapted memory usage dynamically based on prompt size
4 machines consuming 66 watts total. cloud GPU for the same workload costs $1,900/month
a cluster that used to cost millions now assembled from Mac Studios in a few hours
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🇨🇭 Global One SI - Prompt
Photo
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This founder replaced $1,000/mo in ai subscriptions with $3/mo in electricity.
One simple box under his desk.
All he did: install ollama, pull a model, change one line of code.
Builders will clone it this week.
One simple box under his desk.
All he did: install ollama, pull a model, change one line of code.
Builders will clone it this week.
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🇨🇭 Global One SI - Prompt
$SNDK/USD H2 #Indicator #Signal #Trading #GlobalOneAI
The biggest winners in the S&P 500 this year all sit at the center of the AI data center supply chain, from storage and memory to chips, optics, and semiconductor equipment.
$SNDK +820.36%
$WDC +333.17%
$MU +297.32%
$STX +288.62%
$INTC +263.12%
$DELL +225.31%
$AMD +150.92%
$AMAT +140.13%
$LITE +130.61%
$LRCX +127.27%
Do you own any of them?
$SNDK +820.36%
$WDC +333.17%
$MU +297.32%
$STX +288.62%
$INTC +263.12%
$DELL +225.31%
$AMD +150.92%
$AMAT +140.13%
$LITE +130.61%
$LRCX +127.27%
Do you own any of them?
🇨🇭 Global One SI - Prompt
Your AI Agent can already code. Now it can browse the entire internet too. 🤯 Agent Reach just exploded to 26.6K+ stars and 2.2K+ forks on GitHub in just a few months. Instead of paying for APIs, debugging scrapers, and fighting platform restrictions, Agent…
60–95% fewer tokens · library · proxy · MCP · 6 algorithms · local-first · reversible
Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. Same answers, fraction of the tokens.
github.com/chopratejas/headroom
Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. Same answers, fraction of the tokens.
github.com/chopratejas/headroom
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Remember the massive run on $SIVE when Wall Street suddenly realized who was holding the critical keys to the 5G and satellite infrastructure?
We are looking at the exact same setup right now with $BLG
Let’s look at the physical reality of these next-generation AI data centers.
Silicon photonics platform, like the ones manufactured by $TSEM, have a fundamental physical limitation: silicon cannot emit light.
These advanced chips are completely blind without an external, ultra-precise laser source.
While legacy optics giants like $COHR traditionally dominate standard infrared lasers, the next frontier of high-density AI infrastructure and quantum logic demands something much more precise: visible Gallium Nitride (GaN) laser diodes.
BluGlass is one of the incredibly rare global players with the proprietary technology to manufacture these.
This isn't theoretical R&D. $BLG is already embedded alongside $COHR in elite government initiatives like the US Department of Defense’s CLAWS Hub, specifically tasked with building the next-generation semiconductor pipeline for national security.
The ultimate test for any deep-tech micro-cap is transitioning from the lab to commercial revenue. BluGlass is hitting that inflection point right now, securing contracts with the exact players building tomorrow's infrastructure:
$BLG is a direct supplier of specialized GaN gain chips to $INFQ, the vanguard of neutral-atom quantum computing. $INFQ integrates these components into systems that plug directly into $NVDA supercomputing architecture to run hybrid quantum-AI workloads. Without $BLG light, the qubits don't stabilize; without stabilization, $NVDA quantum software has nothing to compute.
$BLG secured a $1.3M commercial development agreement with a global mass-capacity data storage leader.
This contract proves that the need for precision GaN lasers isn't just a niche quantum requirement, it is a critical necessity for the massive optical storage architectures needed to handle AI data loads.
We are looking at the exact same setup right now with $BLG
Let’s look at the physical reality of these next-generation AI data centers.
Silicon photonics platform, like the ones manufactured by $TSEM, have a fundamental physical limitation: silicon cannot emit light.
These advanced chips are completely blind without an external, ultra-precise laser source.
While legacy optics giants like $COHR traditionally dominate standard infrared lasers, the next frontier of high-density AI infrastructure and quantum logic demands something much more precise: visible Gallium Nitride (GaN) laser diodes.
BluGlass is one of the incredibly rare global players with the proprietary technology to manufacture these.
This isn't theoretical R&D. $BLG is already embedded alongside $COHR in elite government initiatives like the US Department of Defense’s CLAWS Hub, specifically tasked with building the next-generation semiconductor pipeline for national security.
The ultimate test for any deep-tech micro-cap is transitioning from the lab to commercial revenue. BluGlass is hitting that inflection point right now, securing contracts with the exact players building tomorrow's infrastructure:
$BLG is a direct supplier of specialized GaN gain chips to $INFQ, the vanguard of neutral-atom quantum computing. $INFQ integrates these components into systems that plug directly into $NVDA supercomputing architecture to run hybrid quantum-AI workloads. Without $BLG light, the qubits don't stabilize; without stabilization, $NVDA quantum software has nothing to compute.
$BLG secured a $1.3M commercial development agreement with a global mass-capacity data storage leader.
This contract proves that the need for precision GaN lasers isn't just a niche quantum requirement, it is a critical necessity for the massive optical storage architectures needed to handle AI data loads.
$BLG - Could This Be One of the Most Asymmetric Opportunities in the Entire Market? $SIVE $AXTI $ALMU
What if the next major winner isn't a mega-cap at all, but a tiny company valued at just ~A$35-45 million, operating at the intersection of quantum computing, AI, defense, aerospace, and photonics?
BluGlass has developed a patented manufacturing process that may solve one of the most important bottlenecks in gallium nitride (GaN) laser production, a bottleneck that has limited performance across the industry for decades.
And here's where it gets interesting:
Strategic collaboration with AIXTRON SE, one of the world's leading semiconductor equipment companies.
Working with customers and partners connected to quantum technologies, aerospace, and defense.
Relationships involving organizations such as TOPTICA Photonics and Collins Aerospace.
Participation in U.S. defense-related research ecosystems focused on next-generation quantum navigation.
Recently demonstrated a 52% increase in blue single-mode laser peak power, pushing performance toward world-record levels.
Silicon Valley manufacturing capability.
CEO Jim Haden, who previously held leadership positions at $LASR, a respected name in the global laser industry.
But what makes the story potentially extraordinary is not just the technology.
It's the combination of:
Mission-critical product + intellectual property + industry validation + tiny valuation.
The lasers BluGlass develops are not consumer gadgets.
They are enabling technologies for:
Quantum computers
Quantum sensors
AI infrastructure
Biotechnology
Secure communications
GPS-independent navigation
Advanced aerospace systems
National defense applications
In other words, products that become more important, not less, as technology advances.
The most powerful investment opportunities often emerge when a company controls a critical bottleneck.
And if BluGlass' RPCVD technology ultimately becomes a preferred manufacturing method for high-performance visible lasers, the company could find itself in a position that every investor looks for:
A unique technology solving a mission-critical problem in a rapidly growing market with very few credible competitors.
The market currently values BluGlass like a small speculative company.
The industries it is targeting are measured in hundreds of billions, and potentially trillions, of dollars.
That gap is exactly why the story deserves attention.
If you're interested in discovering companies before the broader market recognizes their strategic importance, this is a fascinating case study.
What if the next major winner isn't a mega-cap at all, but a tiny company valued at just ~A$35-45 million, operating at the intersection of quantum computing, AI, defense, aerospace, and photonics?
BluGlass has developed a patented manufacturing process that may solve one of the most important bottlenecks in gallium nitride (GaN) laser production, a bottleneck that has limited performance across the industry for decades.
And here's where it gets interesting:
Strategic collaboration with AIXTRON SE, one of the world's leading semiconductor equipment companies.
Working with customers and partners connected to quantum technologies, aerospace, and defense.
Relationships involving organizations such as TOPTICA Photonics and Collins Aerospace.
Participation in U.S. defense-related research ecosystems focused on next-generation quantum navigation.
Recently demonstrated a 52% increase in blue single-mode laser peak power, pushing performance toward world-record levels.
Silicon Valley manufacturing capability.
CEO Jim Haden, who previously held leadership positions at $LASR, a respected name in the global laser industry.
But what makes the story potentially extraordinary is not just the technology.
It's the combination of:
Mission-critical product + intellectual property + industry validation + tiny valuation.
The lasers BluGlass develops are not consumer gadgets.
They are enabling technologies for:
Quantum computers
Quantum sensors
AI infrastructure
Biotechnology
Secure communications
GPS-independent navigation
Advanced aerospace systems
National defense applications
In other words, products that become more important, not less, as technology advances.
The most powerful investment opportunities often emerge when a company controls a critical bottleneck.
And if BluGlass' RPCVD technology ultimately becomes a preferred manufacturing method for high-performance visible lasers, the company could find itself in a position that every investor looks for:
A unique technology solving a mission-critical problem in a rapidly growing market with very few credible competitors.
The market currently values BluGlass like a small speculative company.
The industries it is targeting are measured in hundreds of billions, and potentially trillions, of dollars.
That gap is exactly why the story deserves attention.
If you're interested in discovering companies before the broader market recognizes their strategic importance, this is a fascinating case study.
US Chip ACT Funding is one of the largest signals.
For importance to America National Security.
Lesser known list:
1. $SIVE ($330m)
2. $AKTS ($920m)
3. $BLG ($34m)
4. $QUBT ($1.65B)
5. $RGTI ($5.27B)
6. $MRAM ($210m)
7. $SKYT (Acquired)
8. $PDFS ($1.35B)
9. $ATOM ($177M)
10. $SLVC ($227M)
11. $NVTS ($2.12B)
12. $WOLF ($750m)
13. $ALMU ($234m)
14. $ACLS ($2.6B)
DIRECT FUNDING | DoC CHIPS PMTs:
1. $WOLF (Wolfspeed): $750 Million
2. $INFN (Infinera): $93 Million (DoC PMT) - Bought by Nokia
3. $SKYT (SkyWater Technology): $16 Million (DoC PMT) - Bought by IonQ
DIRECT FUNDING | Federal R&D Contracts:
4. $RGTI (Rigetti Computing): $11.28M (AFRL/quantum networking and AFOSR Chip fab)
5. $QUBT - Direct DoC/NIST contract for TFLN PICs
DoD Microelectronics / Sub-Contractors
6. $SIVE: $11.6 Million (NEMC Hub)
7. $MRAM - $8.7 Million project partner ("CHEETA" project via SCMC Hub)
8. $ACLS - $7.8M partner project (Led by GE Aerospace via CLAWS)
9. $BLG - $6.5M (DoD sub-contracts secured to date via CLAWS Hub)
10. $AKTS - $4 Million (Lead grant for the "LADDER" project via NEMC)
Adjacents:
11. $ATOM: Member of the SWAP Hub
12. $NVTS: Embedded partner in the SCMC Hub
13. $PDFS: industry partner in the CA DREAMS Hub
14: $ALMU: affiliate member in the CA DREAMS and MMEC Hubs
-> Electromagnetic Warfare (EW): $51 million allocated across 6 projects.
-> Artificial Intelligence (AI) Hardware: $42 million allocated across 7 projects.
-> 5G/6G Wireless Communications: $42 million allocated across 5 projects.
-> Commercial Leap-Ahead Technologies: $38 million allocated across 7 projects.
-> Quantum Technology: $32 million allocated across 4 projects.
-> Secure Edge Computing / IoT: $25 million allocated across 4 projects.
For importance to America National Security.
Lesser known list:
1. $SIVE ($330m)
2. $AKTS ($920m)
3. $BLG ($34m)
4. $QUBT ($1.65B)
5. $RGTI ($5.27B)
6. $MRAM ($210m)
7. $SKYT (Acquired)
8. $PDFS ($1.35B)
9. $ATOM ($177M)
10. $SLVC ($227M)
11. $NVTS ($2.12B)
12. $WOLF ($750m)
13. $ALMU ($234m)
14. $ACLS ($2.6B)
DIRECT FUNDING | DoC CHIPS PMTs:
1. $WOLF (Wolfspeed): $750 Million
2. $INFN (Infinera): $93 Million (DoC PMT) - Bought by Nokia
3. $SKYT (SkyWater Technology): $16 Million (DoC PMT) - Bought by IonQ
DIRECT FUNDING | Federal R&D Contracts:
4. $RGTI (Rigetti Computing): $11.28M (AFRL/quantum networking and AFOSR Chip fab)
5. $QUBT - Direct DoC/NIST contract for TFLN PICs
DoD Microelectronics / Sub-Contractors
6. $SIVE: $11.6 Million (NEMC Hub)
7. $MRAM - $8.7 Million project partner ("CHEETA" project via SCMC Hub)
8. $ACLS - $7.8M partner project (Led by GE Aerospace via CLAWS)
9. $BLG - $6.5M (DoD sub-contracts secured to date via CLAWS Hub)
10. $AKTS - $4 Million (Lead grant for the "LADDER" project via NEMC)
Adjacents:
11. $ATOM: Member of the SWAP Hub
12. $NVTS: Embedded partner in the SCMC Hub
13. $PDFS: industry partner in the CA DREAMS Hub
14: $ALMU: affiliate member in the CA DREAMS and MMEC Hubs
-> Electromagnetic Warfare (EW): $51 million allocated across 6 projects.
-> Artificial Intelligence (AI) Hardware: $42 million allocated across 7 projects.
-> 5G/6G Wireless Communications: $42 million allocated across 5 projects.
-> Commercial Leap-Ahead Technologies: $38 million allocated across 7 projects.
-> Quantum Technology: $32 million allocated across 4 projects.
-> Secure Edge Computing / IoT: $25 million allocated across 4 projects.
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🇨🇭 Global One SI - Prompt
$BLG/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$BLG $INFQ - BluGlass holds a true technological moat through its proprietary Remote Plasma Chemical Vapour Deposition (RPCVD) manufacturing process.
Traditional Gallium Nitride (GaN) lasers are manufactured at extremely high temperatures, which inherently degrades chip efficiency and performance. By operating at significantly lower temperatures, BluGlass’s RPCVD technology produces brighter, higher-performing, and more energy-efficient laser diodes.
Because no other commercial player possesses this unique manufacturing capability, BluGlass operates in an absolute technical niche with near-monopoly characteristics.
As Western governments aggressively "onshore" critical semiconductor infrastructure, BluGlass is perfectly positioned. It is one of the very few GaN laser manufacturers globally with its own dedicated production facility located directly in the United States.
This unique footprint enabled BluGlass to secure a vital role in the Pentagon's CLAWS Hub, netting millions in non-dilutive US federal funding.
Its development partners and end-customers include Tier-1 defense primes, major industrial giants like General Electric, and the U.S. Department of Defense.
Currently trading at a microscopic valuation of roughly 58.5 million AUD (~38.7 million USD), $BLG flies completely under the radar of major institutional asset managers, who are legally barred from investing in micro-caps of this size.
This creates an extreme valuation dislocation.
If $BLG successfully transitions its technology into high-volume commercial production, the math behind its tiny market capitalization offers multi-bagger potential that is mathematically impossible to achieve with established semiconductor giants.
$BLG is not just manufacturing basic hardware; its product pipeline feeds the most critical technological drivers of the next decade.
The company actively supplies high-precision GaN chips to pioneering quantum computing companies like $INFQ.
Furthermore, as AI data centers face unprecedented power and cooling bottlenecks, optical data transmission (silicon photonics) is becoming mandatory.
BluGlass’s recent $1.3 million commercial contract with a Fortune 500 tech company validates its role in solving these exact infrastructure scaling problems.
The ultimate risk for any micro-cap is running out of cash before achieving scale.
$BLG has recently systematically de-risked this factor.
Through an oversubscribed institutional placement and subsequent option exercises, the company successfully injected over 14 million AUD into its balance sheet, securing its near-term production runway.
This financial stabilization coincided with a technical milestone, where $BLG demonstrated a new single-mode GaN laser world-record performance, proving to commercial buyers that its tech is fully mature and ready for market disruption.
Traditional Gallium Nitride (GaN) lasers are manufactured at extremely high temperatures, which inherently degrades chip efficiency and performance. By operating at significantly lower temperatures, BluGlass’s RPCVD technology produces brighter, higher-performing, and more energy-efficient laser diodes.
Because no other commercial player possesses this unique manufacturing capability, BluGlass operates in an absolute technical niche with near-monopoly characteristics.
As Western governments aggressively "onshore" critical semiconductor infrastructure, BluGlass is perfectly positioned. It is one of the very few GaN laser manufacturers globally with its own dedicated production facility located directly in the United States.
This unique footprint enabled BluGlass to secure a vital role in the Pentagon's CLAWS Hub, netting millions in non-dilutive US federal funding.
Its development partners and end-customers include Tier-1 defense primes, major industrial giants like General Electric, and the U.S. Department of Defense.
Currently trading at a microscopic valuation of roughly 58.5 million AUD (~38.7 million USD), $BLG flies completely under the radar of major institutional asset managers, who are legally barred from investing in micro-caps of this size.
This creates an extreme valuation dislocation.
If $BLG successfully transitions its technology into high-volume commercial production, the math behind its tiny market capitalization offers multi-bagger potential that is mathematically impossible to achieve with established semiconductor giants.
$BLG is not just manufacturing basic hardware; its product pipeline feeds the most critical technological drivers of the next decade.
The company actively supplies high-precision GaN chips to pioneering quantum computing companies like $INFQ.
Furthermore, as AI data centers face unprecedented power and cooling bottlenecks, optical data transmission (silicon photonics) is becoming mandatory.
BluGlass’s recent $1.3 million commercial contract with a Fortune 500 tech company validates its role in solving these exact infrastructure scaling problems.
The ultimate risk for any micro-cap is running out of cash before achieving scale.
$BLG has recently systematically de-risked this factor.
Through an oversubscribed institutional placement and subsequent option exercises, the company successfully injected over 14 million AUD into its balance sheet, securing its near-term production runway.
This financial stabilization coincided with a technical milestone, where $BLG demonstrated a new single-mode GaN laser world-record performance, proving to commercial buyers that its tech is fully mature and ready for market disruption.
✍1
Forwarded from 🛢WTI, Brent Crude Oil, NGAS Trading 📊
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Iran to the Strait of Hormuz every time someone does something that they don't approve
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"College degrees open the door to countless opportunities"
The door:
The door:
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🇨🇭 Global One SI - Prompt
Near-Resolution Edge on Polymarket: How to Trade the Last 6–18 Hours Using Live METAR and Squeeze Almost Risk-Free Profit (NEAR-LOCK STRATEGY) The cleanest and most stable edge on Polymarket weather markets appears in the last 6–18 hours before resolution…
ColdMath vs VibeTrader in 2026: Two Completely Different Strategies That Are Still Printing
Two strong players in Polymarket Weather right now use almost opposite approaches - and both continue to stay consistently profitable
> VibeTrader - Versatile Mispricing Hunter
Focuses mainly on major and mid-tier cities. Trades large volumes, reacts quickly to model updates, and catches both medium and strong mispricings
More dynamic and flexible style
> ColdMath - Barbell + Algo Trader
Works primarily with secondary and tertiary cities
Spreads risk across many markets using a systematic barbell approach
Smoother PnL curve, lower volatility, strong focus on automation and compounding small edges
They have completely different trading styles, operate in different cities, and follow very different risk profiles
Yet both remain firmly in the weather leaderboard top ranks
You don’t have to choose one style and guess which one is better
Parity Terminal lets you watch both strategies live and in parallel:
• Open any weather market and instantly see who is positioned where
• Compare VibeTrader’s dynamic volume plays on liquid cities with ColdMath’s diversified barbell on smaller cities
• Check their current PnL, average entry prices, and conviction levels side by side
This is a real-time masterclass in two proven weather trading approaches in 2026
The crowd tries to copy one lucky trade.
Smart traders study both approaches at the same time
predictparity.com
Two strong players in Polymarket Weather right now use almost opposite approaches - and both continue to stay consistently profitable
> VibeTrader - Versatile Mispricing Hunter
Focuses mainly on major and mid-tier cities. Trades large volumes, reacts quickly to model updates, and catches both medium and strong mispricings
More dynamic and flexible style
> ColdMath - Barbell + Algo Trader
Works primarily with secondary and tertiary cities
Spreads risk across many markets using a systematic barbell approach
Smoother PnL curve, lower volatility, strong focus on automation and compounding small edges
They have completely different trading styles, operate in different cities, and follow very different risk profiles
Yet both remain firmly in the weather leaderboard top ranks
You don’t have to choose one style and guess which one is better
Parity Terminal lets you watch both strategies live and in parallel:
• Open any weather market and instantly see who is positioned where
• Compare VibeTrader’s dynamic volume plays on liquid cities with ColdMath’s diversified barbell on smaller cities
• Check their current PnL, average entry prices, and conviction levels side by side
This is a real-time masterclass in two proven weather trading approaches in 2026
The crowd tries to copy one lucky trade.
Smart traders study both approaches at the same time
predictparity.com
✍1
🛢WTI, Brent Crude Oil, NGAS Trading 📊
Iran to the Strait of Hormuz every time someone does something that they don't approve
BREAKING: Iran's top joint military command officially releases a statement closing the Strait of Hormuz.
Full statement:
Full statement: