🇨🇭 Global One SI - Prompt
Photonics is the most important shift in AI infrastructure right now. Here’s why it is suddenly everywhere: AI is hitting a wall. It is not compute. No it is not GPUs. But it is data movement. GPUs need to talk to each other and right now they use copper.…
These are the layers that actually matter.
Not just “photonics”, but the full stack
Light source (lasers) → creates the signal
SiPh foundry → builds the photonic chips
DCO / DSP → makes the signal usable
Packaging + interposers → connects everything
Substrates → foundation of the chip
Analog ICs → controls + amplifies signal
Connectors + fibre → moves the data
Test & measurement → makes sure it actually works
If you’re trying to understand the trade:
Don’t just pick a ticker
Follow the bottlenecks across these layers.
Not just “photonics”, but the full stack
Light source (lasers) → creates the signal
SiPh foundry → builds the photonic chips
DCO / DSP → makes the signal usable
Packaging + interposers → connects everything
Substrates → foundation of the chip
Analog ICs → controls + amplifies signal
Connectors + fibre → moves the data
Test & measurement → makes sure it actually works
If you’re trying to understand the trade:
Don’t just pick a ticker
Follow the bottlenecks across these layers.
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China’s next-gen Robot Wolf Pack just went public, and this isn’t your average robotic quadruped. 🇨🇳🐺
Developed by the China Ordnance Automation Research Institute, these wolves are purpose-built for high-stakes urban warfare and ruin penetration.
The squad splits into three specialized roles: Shadow for recon, Bloody Battle for precision strikes, and Polar for logistics support.
These machines clock a top speed of 15 km/h (9.3 mph) with 12 degrees of freedom, mimicking the agility of biological predators in ruins.
Engineers boosted motor power to handle a 25 kg (55 lbs) payload while clearing 30 cm (11.8 inches) obstacles with zero stability loss.
The firepower is modular: you’re looking at micro-missiles, grenade launchers, and the 191 automatic rifle integrated into a shared-brain network.
A unified command terminal syncs the wolves with aerial drones, creating a seamless air-ground strike net via real-time SLAM mapping.
Human operators confirm every shot through voice commands, data gloves, or electronic grips, keeping a lethal man-in-the-loop for decision making.
Autonomous target acquisition meets shared situational awareness, making this swarm a major shift in modern infantry-machine teaming.
This pack proves that the gap between lab prototypes and battlefield-ready quadrupeds is officially closing. What’s your take on autonomous swarms taking over urban recon?
Developed by the China Ordnance Automation Research Institute, these wolves are purpose-built for high-stakes urban warfare and ruin penetration.
The squad splits into three specialized roles: Shadow for recon, Bloody Battle for precision strikes, and Polar for logistics support.
These machines clock a top speed of 15 km/h (9.3 mph) with 12 degrees of freedom, mimicking the agility of biological predators in ruins.
Engineers boosted motor power to handle a 25 kg (55 lbs) payload while clearing 30 cm (11.8 inches) obstacles with zero stability loss.
The firepower is modular: you’re looking at micro-missiles, grenade launchers, and the 191 automatic rifle integrated into a shared-brain network.
A unified command terminal syncs the wolves with aerial drones, creating a seamless air-ground strike net via real-time SLAM mapping.
Human operators confirm every shot through voice commands, data gloves, or electronic grips, keeping a lethal man-in-the-loop for decision making.
Autonomous target acquisition meets shared situational awareness, making this swarm a major shift in modern infantry-machine teaming.
This pack proves that the gap between lab prototypes and battlefield-ready quadrupeds is officially closing. What’s your take on autonomous swarms taking over urban recon?
🇨🇭 Global One SI - Prompt
$RGTI/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Rigetti Computing $RGTI announces a $100M investment in the UK to deploy over 1,000 qubit system within 3 to 4 years.
The move aligns with the UK’s £2B national quantum strategy and targets a "TeraQuOp" (one trillion operations) milestone by 2035.
The move aligns with the UK’s £2B national quantum strategy and targets a "TeraQuOp" (one trillion operations) milestone by 2035.
Quick take on $VPG – the stealth $TSLA Optimus sensor play nobody’s talking about 🔥
Vishay Precision Group builds ultra-precise strain gauges and foil sensors that give humanoid robots real force and tactile feedback - the kind that doesn’t drift when things get hot or sweaty.
Late 2023 they quietly landed a major design win with an unnamed top humanoid developer.
Citron Research called it in April 2025: it’s Tesla’s Optimus. Timelines, tech, and Musk’s own ramp comments line up perfectly.
Fast-forward: they’re now working with three humanoid customers. Follow-on orders are rolling in, one is already shifting from prototypes to early production, and CEO Ziv Shoshani just told the Sidoti Conference (March 19) that 2026 is the pivotal year for the whole humanoid market.
Still under $600M market cap…
Vishay Precision Group builds ultra-precise strain gauges and foil sensors that give humanoid robots real force and tactile feedback - the kind that doesn’t drift when things get hot or sweaty.
Late 2023 they quietly landed a major design win with an unnamed top humanoid developer.
Citron Research called it in April 2025: it’s Tesla’s Optimus. Timelines, tech, and Musk’s own ramp comments line up perfectly.
Fast-forward: they’re now working with three humanoid customers. Follow-on orders are rolling in, one is already shifting from prototypes to early production, and CEO Ziv Shoshani just told the Sidoti Conference (March 19) that 2026 is the pivotal year for the whole humanoid market.
Still under $600M market cap…
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🇨🇭 Global One SI - Prompt
$INFQ/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$INFQ $GOOG
HUGE Bullish Catalyst for Infleqtion 🔥
Google Quantum AI just dropped a major announcement: they’re officially expanding their world-class quantum program into neutral atom quantum computing - the exact technology where Infleqtion is the undisputed global leader and first publicly listed pure-play company.
This is massive validation. Google is now running two complementary modalities in parallel:
Superconducting qubits (their long-time strength in the “time dimension” - millions of gate cycles)
Neutral atoms (Infleqtion’s wheelhouse - scaling to ~10,000+ qubits in the “space dimension” with flexible any-to-any connectivity that makes error correction far more efficient)
Google’s own words: they’re now “increasingly confident” that commercially relevant quantum computers will arrive by the end of this decade. Adding neutral atoms accelerates everything.
For $INFQ this is pure rocket fuel:
Validates the entire neutral-atom roadmap Infleqtion has been pioneering
Brings Big Tech credibility and capital inflows to the sector
Positions Infleqtion perfectly in the booming Colorado quantum ecosystem (Google’s new neutral-atom team is literally setting up right in the same neighborhood)
Opens the door to potential collaborations, talent synergies, and faster commercialization
Infleqtion already delivered the UK’s first 100-qubit neutral-atom system, is well-capitalized post-IPO, and sits at the forefront of this exact modality Google just endorsed.
This isn’t just good news - it’s a sector-defining tailwind.
HUGE Bullish Catalyst for Infleqtion 🔥
Google Quantum AI just dropped a major announcement: they’re officially expanding their world-class quantum program into neutral atom quantum computing - the exact technology where Infleqtion is the undisputed global leader and first publicly listed pure-play company.
This is massive validation. Google is now running two complementary modalities in parallel:
Superconducting qubits (their long-time strength in the “time dimension” - millions of gate cycles)
Neutral atoms (Infleqtion’s wheelhouse - scaling to ~10,000+ qubits in the “space dimension” with flexible any-to-any connectivity that makes error correction far more efficient)
Google’s own words: they’re now “increasingly confident” that commercially relevant quantum computers will arrive by the end of this decade. Adding neutral atoms accelerates everything.
For $INFQ this is pure rocket fuel:
Validates the entire neutral-atom roadmap Infleqtion has been pioneering
Brings Big Tech credibility and capital inflows to the sector
Positions Infleqtion perfectly in the booming Colorado quantum ecosystem (Google’s new neutral-atom team is literally setting up right in the same neighborhood)
Opens the door to potential collaborations, talent synergies, and faster commercialization
Infleqtion already delivered the UK’s first 100-qubit neutral-atom system, is well-capitalized post-IPO, and sits at the forefront of this exact modality Google just endorsed.
This isn’t just good news - it’s a sector-defining tailwind.
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