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.
[đź“ą TokamakEnergy]
Captured at 16,000 fps, this breakthrough lets scientists study plasma flow in stunning detail — a bright step toward clean fusion energy.
[đź“ą 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
đź”— 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
đź”— 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
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“China just gave every humanoid robot
a national ID … 29 digits. Cross-border
tracking built in from day one. Modeled
on China's citizen ID system” | Creates
a standardized robotics infrastructure
a national ID … 29 digits. Cross-border
tracking built in from day one. Modeled
on China's citizen ID system” | Creates
a standardized robotics infrastructure
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Apparently, a lot of people aren't aware of Rocket Lab's stunning drone-captured launch footage.
Here's another beauty: "Eight Days A Week" for Synspective.
Here's another beauty: "Eight Days A Week" for Synspective.
$NSRX One of the most interesting micro-cap biotech setups developing right now.
After a brutal selloff from $9.50 to under $2.00, the stock has quietly started building a compression pattern that could soon resolve.
Technical observations:
- Higher lows forming
- Triangle breakout setup developing
- OBV turning higher
- RSI recovering
- TTM downside momentum fading
- Buyers defending the $2 area aggressively
The key level now sits near $3.40-$3.50.
A breakout there could open the door toward the $6-$7 area.
With a market cap of roughly $27M, the risk/reward profile is beginning to attract attention.
that's a chart worth watching closely.
Peers: $MIRA $AMRN $SCLX $TXMD $CPHI $RMTI $BGM $CPIX $CTOR $SCYX
After a brutal selloff from $9.50 to under $2.00, the stock has quietly started building a compression pattern that could soon resolve.
Technical observations:
- Higher lows forming
- Triangle breakout setup developing
- OBV turning higher
- RSI recovering
- TTM downside momentum fading
- Buyers defending the $2 area aggressively
The key level now sits near $3.40-$3.50.
A breakout there could open the door toward the $6-$7 area.
With a market cap of roughly $27M, the risk/reward profile is beginning to attract attention.
that's a chart worth watching closely.
Peers: $MIRA $AMRN $SCLX $TXMD $CPHI $RMTI $BGM $CPIX $CTOR $SCYX
🇨🇠Global One SI - Prompt
CLAUDE + STOCKS = $$$$ Wall Street analysts charge $500/hour for this research. Claude does it in 30 seconds. 10 prompts that make Claude your personal stock market analyst 👇
1/ The Stock Deep Dive
I am a BEGINNER / INTERMEDIATE / EXPERIENCED investor looking to analyze STOCK TICKER / COMPANY NAME in the INDUSTRY sector.
Investment horizon:
SHORT TERM / 1 YEAR / 5+ YEARS
Risk tolerance:
LOW / MEDIUM / HIGH
Give me:
— Business model explained simply
— Revenue streams + fastest-growing segments
— Key financial ratios (P/E, ROE, margins, debt)
— Competitive moat
— 3 bullish reasons to buy
— 3 bearish risks to avoid
— Fair value estimate using DCF logic
— What would prove the thesis wrong
End with a conviction score out of 10.
I am a BEGINNER / INTERMEDIATE / EXPERIENCED investor looking to analyze STOCK TICKER / COMPANY NAME in the INDUSTRY sector.
Investment horizon:
SHORT TERM / 1 YEAR / 5+ YEARS
Risk tolerance:
LOW / MEDIUM / HIGH
Give me:
— Business model explained simply
— Revenue streams + fastest-growing segments
— Key financial ratios (P/E, ROE, margins, debt)
— Competitive moat
— 3 bullish reasons to buy
— 3 bearish risks to avoid
— Fair value estimate using DCF logic
— What would prove the thesis wrong
End with a conviction score out of 10.
🇨🇠Global One SI - Prompt
CLAUDE + STOCKS = $$$$ Wall Street analysts charge $500/hour for this research. Claude does it in 30 seconds. 10 prompts that make Claude your personal stock market analyst 👇
2/ The Portfolio Builder
I am AGE years old with $AMOUNT to invest.
Goal:
RETIREMENT / WEALTH / PASSIVE INCOME
Risk tolerance:
LOW / MEDIUM / HIGH
Build me a complete portfolio:
— Sector allocation
— 8–12 stocks/ETFs
— Capital split per position
— Rebalancing schedule
— Dip-buy opportunities
— Long-term compounders
— One ETF safety net if I’m wrong
Rank every holding from highest to lowest conviction.
I am AGE years old with $AMOUNT to invest.
Goal:
RETIREMENT / WEALTH / PASSIVE INCOME
Risk tolerance:
LOW / MEDIUM / HIGH
Build me a complete portfolio:
— Sector allocation
— 8–12 stocks/ETFs
— Capital split per position
— Rebalancing schedule
— Dip-buy opportunities
— Long-term compounders
— One ETF safety net if I’m wrong
Rank every holding from highest to lowest conviction.