πŸ‡¨πŸ‡­ Global One SI - Prompt
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πŸŽ—GLOBAL ONE is a live super intelligence (SI) built on real-time dataβ€”designed for decisions. Currently focused on global financial markets

t.me/Prompts_SI @Global_one - Software/Developer/Programmer - Globalone.ch - Prompt - AI - Super Intelligence
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πŸ‡¨πŸ‡­ Global One SI - Prompt
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Weather markets on Polymarket are full of easy money - if you know whose trades to follow

Most people are just guessing on temperature outcomes while a small group of traders is consistently extracting edge using actual modeling and data

Here's exactly how to find them using Parity Terminal in under a minute

Open Parity Terminal β†’ Live Trades tab β†’ apply these filters:

β€’ Market: Highest Temperature
β€’ Side: BUY
β€’ Exclude bots
β€’ Price: 5c–95c
β€’ PnL: >$5,000+
β€’ Win rate: >80%
β€’ Balance: >$1,000+

This gives you a clean, filtered list of profitable weather traders with no bots and no noise - just wallets with a proven track record

Bookmark their profiles, study their entry timing, and start building your own edge from theirs

predictparity.com
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πŸ‡¨πŸ‡­ Global One SI - Prompt
$BB The most interesting thing here isn't the move. It's what ISN'T happening. No major selling pressure. No distribution. No heavy rejection. Just persistent buying and volume staying elevated week after week. The breakout above $6.95 changed the entire…
$BB

Most investors still think BlackBerry is a turnaround story.

The market is increasingly starting to realize it may actually be an AI infrastructure story.

Not because of chatbots.

Because of QNX.

QNX already powers critical systems across automotive, robotics, industrial automation and next-generation autonomous platforms.

While everyone focuses on AI models…

the real opportunity may be the software foundations enabling AI to operate safely in the physical world.

Cars.
Robots.
Industrial systems.
Autonomous machines.

The market is beginning to look at BlackBerry very differently.

And the chart is reflecting that shift.
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πŸ‡¨πŸ‡­ Global One SI - Prompt
In europe, we already have the solution: VAT taxes on every service / product that the bot will produce
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EUROPE WANTS TO TAX YOU ON MONEY YOU NEVER MADE.

πŸ‡ͺπŸ‡Ί The Netherlands: 36% on unrealized gains from 2028.
Your portfolio goes up on paper. You sell nothing. You receive no cash.
The government sends a bill anyway.

And the EU just proposed a 0.1% tax on every crypto transaction across the bloc. Up to €20 billion targeted through 2034.

One taxes the trade. The other taxes a gain you never took.

America writes rules to pull capital in.
Europe prices the exit before you reach the door.

2028 is coming. The smart money is already moving.
May '26 LLM list (final)

GPT-5.6 ❌
Claude Sonnet-4.8 ❌
Claude Mythos (official) ❌
Claude Opus-4.8 βœ…
Gemini 3.5 Flash βœ…
Gemini 3.1 Flash Lite βœ…
Gemma 4 Family βœ…
Grok 4.3 Official βœ…
MiniMax M3 ❌
Kimi K3.0 ❌
Qwen3.6-Max (official) ❌
Qwen3.7-Max βœ…
Qwen3.7-30B ❌ πŸ™
Step 3.7 Flash βœ…
Hunyuan3 MoE ❌
GLM-5.1 βœ…
MiMo-V2.5 βœ…
Ring-2.6-1T βœ…
Ernie 5.1 βœ…
ZAYA1-8B βœ…
ZAYA1-74B-Preview βœ…
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BUILD πŸ”₯: Exclusive, an early look at Copilot Code and Copilot Cowork tabs of the upcoming super app from Microsoft, following earlier leaked screenshot of the Scout 24/7 Agent.

Developers, Developers, Developers

copilot.com
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πŸ‡¨πŸ‡­ Global One SI - Prompt
Nvidia’s new ARM-based SOC is rumoured to feature: - Up to 20 CPU cores - Up to 6144 Blackwell CUDA cores - Use a TSMC 3nm process - Up to 128GB unified memory This has the potential to be an M5 Max competitor for AI-developers.
Thanks to #VideoCardz leakpost, we now a little more about the new N1 family of NPUs to be announced next week.

πŸ”‘ Key specs from the leak:
✦ 20-core ARM CPU (Cortex-X925 + A725)
✦ 6144 CUDA cores (RTX 5070-level GPU)
✦ Up to 128GB LPDDR5X memory
✦ 45–80W TDP

🎯 This positions NVIDIA to compete directly with:
✦ AMD Strix Halo (Ryzen AI Max)
✦ Intel Razor Lake / Serpent Lake (upcoming ARM chips)

If true, this could be the strongest Windows on ARM platform combining CPU power with desktop-class NVIDIA graphics in one chip.
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Chamath: AI advantage may come less from models than from private inputs.

"When labs can build similar models, the real win comes from one unique ingredient in order to monetize it well.

Here is a basic thing about machine learning that is worth knowing: if you take 1,000 of the same inputs and give them to Facebook, Microsoft, Google, and Amazon, they will all come up with the same machine learning model.

But if you have one extra thing, one little ingredient that all of those other companies do not have, your output can be markedly different.

It is like giving two great chefs three ingredients, but giving the third chef one extra ingredient. That person has the ability to do something very special.

Right now, we are in a world where everybody is crawling the open web. We are going to move to a world where, as everybody gets sophisticated enough and information is widely available, somebody is going to say, β€œYou know what? This site, I am not going to allow anybody else to access. It is only for me, only for my models.” Those models will become better.

So we have to let that play out a little bit. It is going to be a really interesting arms race.

The next wave of M&A, for example, could be companies like Google, Microsoft, and Facebook looking at these companies and saying, β€œCan they be viable inputs to my large language models or to my other machine learning and AI models?”

---

A company with unique workflows, transactions, medical records, industrial logs, legal archives, design files, or user behavior can turn boring private data into a compounding advantage.

Some startups may never become great public companies on their own, yet still become valuable because they own a data stream that makes a larger AI system sharper, more differentiated, or harder to copy.

That turns acquisition strategy upside down: the buyer may not be purchasing revenue, brand, or even software, but a private ingredient for intelligence.
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πŸ‡¨πŸ‡­ Global One SI - Prompt
AI agents are about to completely transform the crypto economy. And most people have no idea it's coming. Here's why this is the biggest opportunity in both AI and crypto right now: AI agents cannot use traditional banking rails. They can't get KYC'd.…
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Jamie Dimon’s evolution:

❌ 2017 - BTC around $5,600

β€œIf you’re stupid enough to buy Bitcoin, you’ll pay the price one day.”

βœ… 2026 - JPMorgan now

β€œHey, buy Bitcoin products from us. It’s not a tulip bubble anymore - we found a way to charge fees on it.”

Legacy finance 🀑
πŸ‡¨πŸ‡­ Global One SI - Prompt
This guy spent nearly $12,000 building an AI farm on his desk. Most people won't understand why. At first glance it looks like a few small boxes next to a laptop. But those 4 Nvidia DGX Spark systems pack 512GB of unified memory and enough compute to run…
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THIS NUMBER MADE THE REVIEWER GO β€œWHOA” 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 Spark on token generation and missing the entire point of what this box was built for

Prefill is the computationally heavy part, that’s where Blackwell eats everything else sitting on your desk

Save this before you spend $4k on the wrong machine
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$MP $UUUU $UAMY $USAR $LAC $CRML | U.S. energy researchers deploy autonomous AI agents to radically speed up critical mineral recovery from industrial waste.

The new automated robotic system compresses extraction optimization timelines from years down to just days.
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Jensen Huang thinks Dario Amodei's prediction of $1T in AI revenue by 2030 is too conservative.

"I believe Dario and Anthropic are going to do way better than that. Way better than that.

And the reason for that is the one part that he hasn't considered: I believe every single enterprise software company will also be a value-added reseller of Anthropic's tokens.

And they’re going to get this logarithmic expansion. Their go-to-market is going to expand tremendously this year."
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America needs to move at the speed of AI and innovation β€” we call it Trump speed.

#SecretaryWright: β€œIf you have a dominant power in AI, they will be the dominant power on the planet β€” militarily, economically, technologically and ultimately socially.”
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🚨 JUST IN: Sec. Scott Bessent just exposed it, the Gulf nations were HIDING Iranian regime assets and bank accounts...then gave Bessent access when Iran started striking them

Economic assassination!

Iran's former friends TURNED ON THEM!

"A BIG mistake that the Iranians made was attacking their GCC neighbors, their neighbors in the Gulf, because we had many very good allies who maybe weren't completely transparent with us on the money, Iranian money that was in their banking systems, all of a sudden became VERY compliant in terms of being willing to turn over accounts or help us freeze block accounts!"

"And then the third part was the incredible blockade. I really think it's the economic blockade of funds and the physical blockade of the ships not going in or out of the Iranian ports."

"Kharg Island is shut down. That's their big oil loading facilities, and that means that they're going to have to start taking down the wells."
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🚨 Howard Lutnick stuns the World by saying Technilogy Companies and committed over $2.5 Trillion dollars to build in America

Promises MADE, Promises KEPT

This is HUGE πŸ”₯
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πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡¦ $PLTR Palantir’s PRISMA software is actively running inside Ukrainian long-range drone strike command posts β€” confirmed on camera by CNN
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Another major LLM company has entered the Physical AI race

Alibaba’s Qwen team just released Qwen-VLA, a unified Vision-Language-Action model that can control humanoid robots and integrates manipulation, navigation, trajectory prediction, and cross-embodiment control (single-arm, dual-arm, humanoid) into one system.

It adapts to different robot bodies via embodiment-aware prompts without separate training heads, matches or outperforms specialist models on key benchmarks, and achieves 76.9% OOD success on real ALOHA dual-arm tasks.

Google has Gemini Robotics. France’s Mistral recently released Physics AI and acquired Emmi AI.

From chatting with AI to acting in the physical world--the competition is accelerating fast.
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One context engineering change dropped Claude Code's token usage by 3x.

> 10.4M tokens, 10 errors, $9.21 with Supabase as the backend
> 3.7M tokens, 0 errors, $2.81 after swapping in Insforge Skills + CLI

Are you still paying 3x more than you need to?

insforge.dev
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