๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
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๐ŸŽ—GLOBAL ONE is a live super intelligence (SI) built on real-time dataโ€”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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๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
$KOSPI/USD H2 #Indicator #Signal #Trading #GlobalOneAI
55% of the KOSPI index is composed of two memory manufacturers: SK Hynix and Samsung.

Basically if the KOSPI falls, so do $MU, $SNDK, etc.
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๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
Traders trying to predict the market Trump & Iran
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๐ŸšขVessels continued to enter and exit the strait of hormuz....even if Iran claiming it was closing it, traffic was seen moving
๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
Traders trying to predict the market Trump & Iran
20 JUN 2026
#CopernicusEU #Sentinel2 ๐Ÿ›ฐ๏ธ๐Ÿ“ท
Kharg Island

The Post-MoU new order

Tankers are lining up to load oil.

Two oil tankers can be seen docked at Kharg Island Terminal, presumably loading crude oil, on Sentinel-2 satellite imagery, 20/06/2026.

In the waters east of the island around 20 tankers are lining up waiting to load oil.

๐Ÿ‡ฎ๐Ÿ‡ท-flagged "STREAM"
๐Ÿ‡ธ๐Ÿ‡น-flagged "IMPALAS"
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Itโ€™s only after weโ€™ve lost everything, that weโ€™re free to do anything.
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From 1957 to 2020, humanity launched roughly 60 to 120 rockets a year into orbit. For sixty years, the number barely moved.

The Space Race didn't break it. The Shuttle program didn't break it. The ISS didn't break it. Billions in government funding, Cold War urgency, national prestige. None of it pushed the curve past ~120 launches a year.

Then one company figured out how to land a booster and fly it again.

After 2020, the line goes vertical. 321 successful launches last year. A global record. And when you look at the chart, the entire spike is one color. SpaceX.

Russia, which dominated launch cadence for decades, has collapsed to a sliver. The rest of the US launch industry, the one that existed before SpaceX, hasn't grown at all. China is climbing, but from a small base.

Strip away SpaceX and the world is still on the plateau.

Sixty years of flat. Then reusability. Then vertical.

That's the thing about real inflection points. They don't look like gradual improvement. They look like someone broke the chart.

The rest of the industry didn't fall behind because they stopped trying.

They fell behind because the game changed and they were still building disposable rockets.
Elon looks like heโ€™s losing the AI race right now.

But Iโ€™m starting to think he changed the game heโ€™s playing.

Maybe the real plan is not just โ€œbuild the best model.โ€

Maybe itโ€™s becoming the biggest distributor of compute on the planet.

xAI, Tesla, X, Optimus, data centers, chips, energy, vehicles, robots.

If compute becomes the new oil, owning the pipes might matter more than winning a chatbot leaderboard.

Cope or real strategy?
The real singularity trigger is probably not some dramatic robot moment.

Itโ€™s the first AI lab that fully automates AI research itself.

Models designing better models. Agents running experiments. Automated labs testing ideas 24/7. No human bottleneck.

So who gets there first?

OpenAI, DeepMind, Anthropic, xAI, or some insane open source swarm?
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The $10-$15 trillion total addressable market for AI, if it is successful, is actually "terrifying".

- The famous "Dean of Valuation", Professor Aswath Damodaran, of NYU Stern School of Business.

The reason: AI as a tool is a much smaller market; AI as a replacement for human-jobs is where the giant market story comes from.

"The best-case scenario for AI, that $10 to $15 trillion market, will happen if ONLY it replaces people.

If AI is a tool, itโ€™s going to be a much smaller market than if AI replaces people. So, the stories weโ€™re telling about $10, $20 or $25 trillion markets are actually terrifying stories for the rest of the world.

Why? Because if that story comes true, half of all white-collar people are going to lose their jobs. And what are they going to do instead? Whoโ€™s going to come up with the income to buy the products and services?

If AI works as well as itโ€™s supposed to and replaces people, how do we deal with that as a society? Because people lose their jobs. Not only do you lose your income, you lose your lifeโ€™s meaning.."
RedditAI is like Grok on steroids. It's massively underrated.

I genuinely cannot believe more people aren't using it.

Complete cheat code for real-time news, SEO/GEO, trend analysis, and sourcing what real people are talking about.

10x better than any other AI trend tool.
Shower thought... China released GLM-5.2 last week. Open-source, MIT license, freely downloadable.

Pretty much equivalent to Claude Opus, beats GPT on some benchmarks, cheaper per token, and built on Huawei chips (no $NVDA hardware).

Z.ai (HKEX $02513.HK) has been absolutely soaring.

Interestingly, U.S Gov shut down Claude Fable 5/Mythos 5 a few days prior to GLM-5.2 release.

This is what happens when the U.S. caps its own AI capabilities. While Anthropic faces restrictions, China delivers competitive alternatives for free.

But here's the 4D chess they're playing...

Trump confirmed in early June he's exploring equity stakes in major AI companies. Word for word, he expects to meet with "all the big ones" at the White House.

($INTC set precedent: U.S Gov took 10% stake ($8.9B) last year. CHIPS Act grants converted to equity)

IMO the restrictions are negotiation leverage. Claim the equity before Anthropic IPOs, secure partnerships, then remove restrictions = global wealth continues to flood into U.S companies.

The U.S. won't gatekeep Claude much longer, esp. with China continuously delivering.

Prime time to be positioning in Neocloud, like $NBIS, $WYFI, $CRWV, and more.
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If $WYFI follows $NBIS chart, may be more

$WYFI reminds me of an early-stage $NBIS.

> Both serve the structural AI compute demand thesis

> Both have major contracted backlogs (relative to size)

> Both validated by smart money positioning (Leopold Aschenbrenner's Situational Awareness Fund holds BOTH)

> Both benefit from hyperscalers unable to build fast enough

$NBIS: ~$72B MC, $45B+ contracted backlog. Vertically integrated AI cloud platform with own ML stack + $NVDA equity.

$WYFI: ~$1.4B MC, $1B+ contracted backlog. Pure-play AI infrastructure provider. Large asymmetry.

Both companies sell capacity to entities that need AI compute. Both benefit from $ORCL's backlog validation.

$WYFI is positioned near where $NBIS was before it absolutely took off...

$NBIS is undoubtedly the industry leader, and should continue to stay ahead. But $WYFI is the asymmetric opportunity - higher risk, and much higher reward.
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