Monday, June 1:
🇺🇸 USA - S&P Manufacturing PMI (May) - 16:45
🇺🇸 USA - ISM Manufacturing PMI (May) - 17:00
Tuesday, June 2:
🇹🇷 Turkey - Istanbul Blockchain Week (Day 1)
Wednesday, June 3:
🇹🇷 Turkey - Istanbul Blockchain Week (Day 2)
🇺🇸 USA - ADP Nonfarm Employment (May) - 15:15
🇺🇸 USA - S&P Services/Composite PMI (May) - 16:45
🇺🇸 USA - ISM Non-Manufacturing PMI (May) - 17:00
🇺🇸 USA - Fed's Beige Book - 21:00
Thursday, June 4:
🇺🇸 USA - Initial Jobless Claims - 15:30
🇺🇸 USA - Fed's Balance Sheet - 23:30
Friday, June 5:
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Physics AI 🌊
Jensen just unveiled the NVIDIA Isaac GR00T Reference Humanoid Robot at GTC Taipei--the world’s first open-source humanoid robot reference design
Built on Jetson Thor edge computing and the Isaac GR00T open platform, it features a Unitree H2 Plus body with Sharpa five-finger dexterous hands and 75 degrees of freedom.
Even before Physical AI truly explodes, NVIDIA has built a complete end-to-end full-stack infrastructure:
>chips (Jetson Thor + Blackwell), >synthetic data (GR00T-Dreams),
>world models (Cosmos),
>foundation models (GR00T N-series VLA),
>high-fidelity simulation platforms (Isaac Sim + Isaac Lab + Omniverse).
Dozens of humanoid robot companies ,including Agility Robotics, Aglie robotics,Boston Dynamics, Figure, 1X, NEURA Robotics, XPENG Robotics, and more are already running large-scale daily simulation training on this platform, rapidly iterating perception, reasoning, and actions in virtual environments, speeding up the jump from lab prototypes to real factory deployment.
By providing an open reference design and full-stack tools, NVIDIA has dramatically lowered the barrier, letting every robotics team join the Physical AI wave with low cost and high efficiency.
Jensen just unveiled the NVIDIA Isaac GR00T Reference Humanoid Robot at GTC Taipei--the world’s first open-source humanoid robot reference design
Built on Jetson Thor edge computing and the Isaac GR00T open platform, it features a Unitree H2 Plus body with Sharpa five-finger dexterous hands and 75 degrees of freedom.
Even before Physical AI truly explodes, NVIDIA has built a complete end-to-end full-stack infrastructure:
>chips (Jetson Thor + Blackwell), >synthetic data (GR00T-Dreams),
>world models (Cosmos),
>foundation models (GR00T N-series VLA),
>high-fidelity simulation platforms (Isaac Sim + Isaac Lab + Omniverse).
Dozens of humanoid robot companies ,including Agility Robotics, Aglie robotics,Boston Dynamics, Figure, 1X, NEURA Robotics, XPENG Robotics, and more are already running large-scale daily simulation training on this platform, rapidly iterating perception, reasoning, and actions in virtual environments, speeding up the jump from lab prototypes to real factory deployment.
By providing an open reference design and full-stack tools, NVIDIA has dramatically lowered the barrier, letting every robotics team join the Physical AI wave with low cost and high efficiency.
🇨🇭 Global One SI - Prompt
$24,000,000,000,000 IN US BANKING ASSETS IS WATCHING ONE CEO LOSE HIS COMPOSURE. 🇺🇸 JPMorgan CEO Jamie Dimon today: "He's full of shit." "If he wants to be a bank, be a bank." "We'll fight it. If we lose, we lose, and we'll live." The target: Coinbase CEO…
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🇺🇸Coinbase CONFIRMED Washington is preparing to accelerate crypto rulemaking around the $30,000,000,000,000+ U.S. financial system IMMEDIATELY after the CLARITY Act passes.
Researchers have created a 5D glass disc capable of storing an astounding 360 terabytes of data — roughly 100,000 times the capacity of a standard DVD — while surviving for billions of years under extreme conditions.
The disc uses ultrafast laser writing to create five-dimensional nanoscale structures inside fused silica glass.
The five dimensions include three spatial coordinates plus two dimensions representing light polarization and intensity, allowing incredibly dense data encoding. Scientists have tested the disc under temperatures up to 1,000°C and intense radiation, confirming that the data remains intact without degradation.
This technology promises permanent digital archives, ideal for preserving humanity’s most important cultural, scientific, and historical records. Imagine storing entire libraries, government archives, or scientific datasets in a device that could outlast civilizations.
Its potential applications span astronomy, climate science, and archival preservation, making it one of the most remarkable achievements in data storage and materials science.
The disc uses ultrafast laser writing to create five-dimensional nanoscale structures inside fused silica glass.
The five dimensions include three spatial coordinates plus two dimensions representing light polarization and intensity, allowing incredibly dense data encoding. Scientists have tested the disc under temperatures up to 1,000°C and intense radiation, confirming that the data remains intact without degradation.
This technology promises permanent digital archives, ideal for preserving humanity’s most important cultural, scientific, and historical records. Imagine storing entire libraries, government archives, or scientific datasets in a device that could outlast civilizations.
Its potential applications span astronomy, climate science, and archival preservation, making it one of the most remarkable achievements in data storage and materials science.
🇨🇭 Global One SI - Prompt
$PLTR/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI
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This is the video you watch before realizing $PLTR Palantir is a $400 stock.
Electricity Demand⚡🌍
Global energy demand grew around 1.3% in 2025.
Electricity demand grew almost 3%.
The world is not just using more energy.
It is electrifying.
China, the US, Africa, Southeast Asia, the Middle East, and India all posted demand growth.
The EU was the exception, slightly negative.
But the direction is clear AI, industry, cooling, transport, data centers, and grids all need power.
The next commodity supercycle starts with electricity.
Global energy demand grew around 1.3% in 2025.
Electricity demand grew almost 3%.
The world is not just using more energy.
It is electrifying.
China, the US, Africa, Southeast Asia, the Middle East, and India all posted demand growth.
The EU was the exception, slightly negative.
But the direction is clear AI, industry, cooling, transport, data centers, and grids all need power.
The next commodity supercycle starts with electricity.
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For the first time ever, plasma inside the ST40 fusion reactor has been filmed in full color.
Captured at 16,000 fps, this breakthrough lets scientists study plasma flow in stunning detail — a bright step toward clean fusion energy.
[📹 TokamakEnergy]
Captured at 16,000 fps, this breakthrough lets scientists study plasma flow in stunning detail — a bright step toward clean fusion energy.
[📹 TokamakEnergy]
Power Prices Just Saved a Smelter⚡⛏️
Glencore’s South African ferrochrome unit cancelled planned layoffs of up to 1,500 workers after regulators approved discounted electricity tariffs.
Smelting is not just a mining story.
It is a power cost story.
South African electricity costs have risen tenfold since 2008.
Only 11 of 66 smelters are still operating.
Now a 54% tariff cut is helping stabilize the sector.
The signal is clear Cheap power keeps industry alive.
Expensive power shuts it down.
Energy policy is industrial policy.
Glencore’s South African ferrochrome unit cancelled planned layoffs of up to 1,500 workers after regulators approved discounted electricity tariffs.
Smelting is not just a mining story.
It is a power cost story.
South African electricity costs have risen tenfold since 2008.
Only 11 of 66 smelters are still operating.
Now a 54% tariff cut is helping stabilize the sector.
The signal is clear Cheap power keeps industry alive.
Expensive power shuts it down.
Energy policy is industrial policy.
🇨🇭 Global One SI - Prompt
Jensen Huang says Vera Rubin is now in full production and the supply chain is already twice the size of Grace Blackwell. $NVDA is officially ramping full AI factory systems with CPUs, GPUs and co-packaged optics built directly into the rack.
🤯 Oh My!! Vera Rubin is here, the 🆕 flagship CPU for the AI agent era! 🚀
🤖 1.8× faster agentic task completion vs x86
🧠 88 custom Olympus cores + Spatial Multithreading
⚡ 1.2 TB/s LPDDR5X memory bandwidth
🔗 1.8 TB/s coherent NVLink-C2C to GPU
Built to power agents, reinforcement learning & AI factories at hyperscale.
Already chosen by Anthropic, OpenAI, Oracle, NYSE & top hyperscalers.
🤖 1.8× faster agentic task completion vs x86
🧠 88 custom Olympus cores + Spatial Multithreading
⚡ 1.2 TB/s LPDDR5X memory bandwidth
🔗 1.8 TB/s coherent NVLink-C2C to GPU
Built to power agents, reinforcement learning & AI factories at hyperscale.
Already chosen by Anthropic, OpenAI, Oracle, NYSE & top hyperscalers.
🇨🇭 Global One SI - Prompt
Jensen just launched NVIDIA Cosmos 3. Pitched as the first fully open omnimodel for physical AI: a mixture-of-transformers (reasoning + generation) with native vision reasoning and generation across text, image, video, sound, and action. Tops open-model…
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Cosmos 3 is here. They are attempting to do something completely new 🤯
Why is Physical AI much harder than building a chatbot?
Understanding the world is not enough, robots need to predict it and act inside it.
That's the idea behind NVIDIA Cosmos 3:
→ Reasoning model understands what's happening from video, images, text, and actions.
→ World model generates future states of the environment.
→ Action model generates the actions needed to achieve a goal.
Previous systems often stitched these capabilities together using separate models.
Cosmos 3 combines them into a single architecture with two components:
▪️ Reasoner Tower
Analyzes observations and builds an understanding of objects, motion, interactions, and physical context.
▪️ Generator Tower
Uses that understanding to generate future videos and action sequences that obey physical constraints.
So Cosmos 3 moves from:
Perception → Model A
Prediction → Model B
Actions → Model C
to:
Perception + Prediction + Actions → One unified system.
The goal is to make robots, autonomous vehicles, and smart environments better at answering three questions:
1. What is happening?
2. What will happen next?
3. What should I do?
That's a big shift from today's AI, which mostly focuses on generating text.
And check the benchmarks!
Physical AI needs to generate decisions that survive contact with the real world. 🚗🤖
Why is Physical AI much harder than building a chatbot?
Understanding the world is not enough, robots need to predict it and act inside it.
That's the idea behind NVIDIA Cosmos 3:
→ Reasoning model understands what's happening from video, images, text, and actions.
→ World model generates future states of the environment.
→ Action model generates the actions needed to achieve a goal.
Previous systems often stitched these capabilities together using separate models.
Cosmos 3 combines them into a single architecture with two components:
▪️ Reasoner Tower
Analyzes observations and builds an understanding of objects, motion, interactions, and physical context.
▪️ Generator Tower
Uses that understanding to generate future videos and action sequences that obey physical constraints.
So Cosmos 3 moves from:
Perception → Model A
Prediction → Model B
Actions → Model C
to:
Perception + Prediction + Actions → One unified system.
The goal is to make robots, autonomous vehicles, and smart environments better at answering three questions:
1. What is happening?
2. What will happen next?
3. What should I do?
That's a big shift from today's AI, which mostly focuses on generating text.
And check the benchmarks!
Physical AI needs to generate decisions that survive contact with the real world. 🚗🤖
Humanoid robot market estimates are starting to get real.
MarketsandMarkets projects the global humanoid robot market at $15.26B by 2030 up from $2.92B in 2025, which implies a 39.2% CAGR.
The 2025 regional split shows where the market is already concentrating. ‣North America leads with 52.3%
‣Asia Pacific follows at 22.8%
‣Europe stands at 16.9%
‣Middle East and Africa at 3.8%
‣Latin America at 4.1%.
The demand is coming from
‣manufacturing
‣logistics
‣retail
‣healthcare
‣education
‣research.
Forecasts still vary a lot across firms. Grand View Research is much lower at $4.04B by 2030 while Goldman Sachs sees $38B by 2035.
So the direction is clear but the size of the opportunity is still being debated.
Which forecast looks closer to reality to you?
MarketsandMarkets projects the global humanoid robot market at $15.26B by 2030 up from $2.92B in 2025, which implies a 39.2% CAGR.
The 2025 regional split shows where the market is already concentrating. ‣North America leads with 52.3%
‣Asia Pacific follows at 22.8%
‣Europe stands at 16.9%
‣Middle East and Africa at 3.8%
‣Latin America at 4.1%.
The demand is coming from
‣manufacturing
‣logistics
‣retail
‣healthcare
‣education
‣research.
Forecasts still vary a lot across firms. Grand View Research is much lower at $4.04B by 2030 while Goldman Sachs sees $38B by 2035.
So the direction is clear but the size of the opportunity is still being debated.
Which forecast looks closer to reality to you?
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China’s “EngineAI has launched a new manufacturing base in Shenzhen” | So this 129000 sq.ft factory is producing
⚙️T800 humanoid robots
⚙️One robot every 15 min
⚙️10000 robots per year
#EngineAI #China #humanoidrobots
⚙️T800 humanoid robots
⚙️One robot every 15 min
⚙️10000 robots per year
#EngineAI #China #humanoidrobots