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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#Uranium is about to hit $100.

Meanwhile, Kazakhstan, responsible for 40% of global uranium supply, will see output from existing fields collapse by ~80% within the next 20 years, while demand is set to double.

Uranium prices will go much higher.
OSINT search engine for mapping real-world infrastructure from OpenStreetMap data.

- Telecommunications towers
- Power plants and substations
- Data centers
- Airports and helipads
- Ports and harbours
- Warehouses and industrial facilities
- Pipelines and refineries
- Military installations
- Hospitals, prisons, embassies
- Surveillance cameras and security infrastructure

https://github.com/ni5arga/sightline
πŸ—Ώ1
πŸ‡¨πŸ‡­ Global One SI - Prompt
β€œaren’t you afraid of AI taking your job?” What job?
🚨 Here are the 40 jobs most threatened by AI!

The first to disappear will be:

❌ Translators/Interpreters
❌ Historians
❌ Writers

AI covers 98% of translators' tasks and succeeds 88% of the time. It's the most AI-endangered job in the world.

The study is based on the analysis of more than 200,000 conversations in 2024.

For the 40 most AI-endangered jobs, the average success rate reaches 87%. (And that was in 2024...)

And these aren't just "basic" jobs. The list also includes:

❌ Data scientists
❌ Web developers
❌ Journalists
❌ Financial advisors
❌ Market analysts
πŸ—Ώ1
Saturday, Feb 14 2026, 12:00 UTC time

πŸ“‹ Latest Important Headlines β€” Market Brief

βœ… US inflation cools; Fed likely to stay on hold
πŸ“Œ US CPI surprised to the downside, sending Treasury yields to multi-month lows and boosting market bets that the Fed will remain on hold through 2H. Equity indices saw modest moves (S&P little changed) as investors priced a growing chance of a 2026 soft landing. Economic calendar focus: upcoming GDP, inflation prints and Walmart earnings as catalysts.

πŸ”– FX & rates: dollar flat, yen and CAD react
πŸ“Œ Dollar broadly flat after the CPI print; yen headed for its strongest weekly gain in ~15 months. Canadian dollar kept weekly gains as US inflation cooled, supporting CAD versus USD. Lower US yields and cooler inflation expectations are weighing on the dollar and supporting risk-sensitive EM/commodity-linked currencies.

πŸ“‹ Market movers & regional headlines
πŸ“Œ US stocks & sectors: Tech softened while overall indices ended mixed. Airlines and travel groups warned a potential partial U.S. government shutdown could disrupt airport screening and travel flows β€” a downside risk for travel names. IRS tax-season notes: fewer returns but larger refunds so far, a minor consumer-spend datapoint. In Brazil, Ibovespa closed the week in the red amid global risk dynamics.

πŸ”– Macro takeaway for traders
πŸ“Œ Positioning: Lower yields and cooling inflation raise odds of easier financial conditions, favoring equities but keeping volatility on macro headlines (inflation prints, Fed commentary, US political risks). Watch USD reaction to further CPI/PPI/GDP data, CAD and JPY flows, and event risk from US budget talks and corporate earnings next week.

Key watch: US CPI/GDP prints, Fed signals, Walmart earnings, US budget/shutdown developments, CAD/JPY moves.
The US stockpiling critical minerals will force the rest of the world to join a stockpiling race.

If you do not stockpile certain minerals, you will not have access to them.

This will add additional demand to an already tight market
πŸ”₯1
Global ranking of the most profitable companies in the world (Mag 7 vs. World)

Projections for 2025->2026->2027 (Operating Income).

#1: $NVDA (USA, 4.4T MC) πŸ‡ΊπŸ‡Έ
~$135.0B -> $186.5B -> $240.1 Billion

#2: Samsung Electronics (Korea, $820B MC) πŸ‡°πŸ‡·
~$30.2B -> ~$170B -> ~$226.7 Billion

#3 $MSFT (USA, $2.9T MC)
~$128.5B -> 153.0B -> $181.5 Billion

#4 $GOOGL (USA, $3.7T MC)
~$129.0B -> $142.0B -> $173.0B

#4 Sk Hynix (Korea, $410B MC)
~$32.7B -> ~$124B -> ~$161.0 Billion

#5 $APPL (USA, $3.76T MC)
$133.1B -> $146.0B -> $160.5B

#6 $AMZN (USA, $2.13T MC)
$80.0B -> $105.0B -> $136.5B

#7 $Meta (USA, $1.62T MC)
$83.3 -> $97.0B -> $121.5B

#8 $TSLA (USA, $1.31T MC)
$4.4B -> $8.0B -> $24.0B

Samsung Electronics, a $820B company in Korea is projected to catch up to $NVDA in 2027 in operating income.

Meanwhile Sk Hynix is projected to overtake both $APPL and $AMZN in operating income in 2027.

The main takeaway is that the growth of both US hyperscalers and South Korean equities is astounding due to Artificial Intelligence ramp.
These numbers are staggering:

Samsung and SK Hynix are projected to become the most profitable companies in the world by 2027.

Their projections exceed $APPL and $GOOGL, both ~$4T companies in operating profit.

For reference, Samsung is valued at ~$820B and SK Hynix is valued at ~$410B.

That would make a ~$410B company in SK Hynix more profitable than $GOOGL ($3.7T) in 2027.

By Morgan Stanley estimates earlier, SK Hynix and Samsung are est. to bring in:

~$387.7 Billion USD combined operating income.

America’s two most profitable companies $APPL and $GOOGL combined brought in $263 Billion USD for 2025. (Google $129-132B, Apple $133.1B)

2027 est.
Samsung Electronics: ~$226.7 Billion
Sk Hynix: ~$161.0 Billion

2027 est:
Apple: ~$156B-$165B
Google: ~$168B-178B

The statistics of smaller Korean equities exceeding multi trillion dollar US hyperscalers in profitability is staggering.

It’s a genuinely interesting point, that a $410B company exceeds $4T+ hyperscalers in profitability.

But the bigger question markets are pricing in is if the memory shortage is ephemeral, or if they become a necessary β€œOil” like GPUs for the AI buildout.

If your answer to that is β€œlikely, might be good to get exposure to Korean, Japanese, or Taiwanese equities.
πŸ‡¨πŸ‡­ Global One SI - Prompt
$LASR/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$LASR is up almost 30%+ now since I mentioned it last month.

Apparently markets (and guys) really like death ray laser beams that shoot anything down like hypersonic missiles.

It’s not too hard to imagine the DoD attaching laser beams to $TSLA Optimus Robots and sending them off to war.

If America is building the Death Star in space from Star Wars or the Terminator from Skyney, this company would be it.

That being said, don’t have any right now, but thought others might appreciate under the radar companies like this.

Energy directed lasers are just so futuristic and cool.
✍1
There is always a bull market somewhere.

Memory: $SNDK $MU $WDC $STX
Foundries: $TSM $SKYT
Substrates: $AXTI
Chip Equipment: $TER $ACMR $AEHR $ICHR $MTSI
Data Centers: $VRT
Cloud: $FSLY $DOCN
Electronics: $POWL $FIX $VICR
HPC: $APLD $WULF $NUAI
Energy: $BE $ENLT $NXT
Materials: $SOLS $CPSH $GLW
Networking: $LITE $VIAV
Rare Earths: $CRML $USAR
Critical Minerals: $UAMY $UUUU
Drones: $RCAT
Space: $SATL $RKLB $VSAT
Aerospace: $FTAI
Biotech: $ERAS $PAHC
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Most Expensive Things Ever Built by Humans πŸ’°

1. πŸ‡ΊπŸ‡Έ Mars Perseverance Rover – $2.7 Billion
2. πŸ‡ΊπŸ‡Έ Northrop B-2 Spirit Stealth Bomber – $4.2 Billion
3. πŸ‡ΊπŸ‡Έ USS Zumwalt Stealth Destroyer – $8 Billion
4. πŸ‡¨πŸ‡­ Large Hadron Collider (CERN) – $9 Billion
5. πŸ‡ΊπŸ‡Έ Columbia Class Submarine – $9.15 Billion
6. πŸ‡ΊπŸ‡Έ James Webb Space Telescope – $9.7 Billion
7. πŸ‡ΊπŸ‡Έ Starlink Satellite Constellation – $10 Billion
8. πŸ‡ΊπŸ‡Έ Gerald R. Ford Class Aircraft Carrier – $13 Billion
9. 🌍 International Space Station – $150 Billion

Note: All figures are approximate estimates. Actual costs may vary depending on the source, accounting method, and time period considered.
Data Center Aquisitions on the Rise
🚨 JUST IN: X is preparing to launch crypto & stock trading directly inside the timeline within the next couple of weeks.

This means users may soon be able to buy, sell, and trade without leaving the app.

If true, this turns X from a social platform into a full #trading + payments super app.
🚨 SOME ECONOMIES ARE 80–90% MINING

That’s not diversification
That’s dependency

Top exposure:

β€’ πŸ‡§πŸ‡Ό Botswana. 92% diamonds
β€’ πŸ‡¬πŸ‡³ Guinea. 87% gold
β€’ πŸ‡²πŸ‡± Mali. 85% gold
β€’ πŸ‡§πŸ‡« Burkina Faso. 84% gold
β€’ πŸ‡ΏπŸ‡² Zambia. 79% copper
β€’ πŸ‡¨πŸ‡© DRC. 77% copper

Even:

β€’ πŸ‡΅πŸ‡ͺ Peru. 61% copper
β€’ πŸ‡³πŸ‡¦ Namibia. 61% diamonds

Why it matters:

β€’ Price volatility = fiscal volatility
β€’ Political instability = supply shocks
β€’ ESG pressure = export risk
β€’ Single-commodity risk dominates GDP

This isn’t just a mining story.

It’s macro fragility.

When copper or gold moves,
entire national budgets move with it.

#minerals #metals
🧰 OSINT Tool: An Investigator’s Ready-Made Toolkit

Building an effective OSINT toolkit takes time, and everyone ends up with a slightly different setup πŸ”

Sometimes, it’s useful to explore how others organize their tools, especially when it comes to niche areas like blockchain investigations ⛓️

This toolkit brings together a curated set of links focused on blockchain criminalistics, digital investigations, and threat hunting πŸ•΅οΈβ€β™‚οΈ

It includes tools and resources for:
πŸ”— Blockchain analysis
πŸ”Ž Google dorking
πŸ–Ό Image analysis
🌐 IP & network research
🧾 Data breaches
πŸ€– Web scraping

osint.intelligenceonchain.com
CYBERSECURITY VALUE CHAIN

Software is getting punished because AI is coming for large parts of the value chain. The real question for every software company is "does AI compete with you or work for you." In security, AI does not replace the product since it expands the threat surface and creates more demand for the product.

Remember that the bad guys also have LLMs too which is why the AI security stack matters:
β€’ $ZS zero-trust access
β€’ $CRWD endpoint protection
β€’ $FTNT network firewalls at scale
β€’ $RBRK data resilience & recovery
β€’ $NET network security at the edge
β€’ $OKTA identity & access management
β€’ $S AI-native endpoint & cloud workload security
β€’ $PANW unified network, cloud & SecOps security
β€’ $MSFT Azure-integrated security across identity, endpoint & cloud

When an enterprise deploys 1,000 AI agents executing autonomous workflows then they've just created 1,000 new endpoints that need protection. Each agent has credentials, API access and the ability to take actions but each one can be compromised, manipulated or hijacked.

If AI infrastructure is a generational buildout then cybersecurity is a generational growth story.
🚨 AFRICA IS THE NEXT MINERAL SUPERPOWER

β€’ πŸ‡¨πŸ‡© DRC Cobalt + copper giant
β€’ πŸ‡ΏπŸ‡² Zambia #Copper belt
β€’ πŸ‡ΏπŸ‡Ό Zimbabw #Lithium surge
β€’ πŸ‡³πŸ‡¦ Namibia #Uranium + lithium
β€’ πŸ‡ΏπŸ‡¦ South Africa PGMs + manganese
β€’ πŸ‡²πŸ‡¦ Morocco Phosphates

West Africa:

β€’ #Gold belts across Mali, Burkina, Ghana
β€’ Bauxite in Guinea
β€’ Iron ore emerging in Sierra Leone

This isn’t scattered geology.

It’s strategic concentration.

#Energy transition metals.
Battery inputs.
Defense-critical minerals.

If capital + infrastructure scale:

β€’ Supply chains diversify from China
β€’ Western FDI accelerates
β€’ Resource nationalism intensifies

Africa isn’t peripheral to the transition.

It’s central to it.

#minerals #mining