This Nvidia GPU farm sits in a spare room and prints $18,000 a month

Ten cards running 24 hours a day, seven days a week.

The setup cost $120,000 to build but it paid for itself in seven months.

It does not mine crypto. It rents compute to AI companies that need processing power right now.

Companies pay by the hour and the demand never stops.

At full capacity the farm pulls $18,000 a month after electricity costs.

The owner does not touch it. It just runs.

Nvidia GPUs are the most in-demand piece of hardware on the planet right now.

The companies that figured this out two years ago are already sitting on serious passive income.

The barrier to entry is high but the people inside are not leaving.

Follow if you want to understand where the real AI money is actually going.

$PG trending on Stocktwits caught my attention.

The market’s attention may be on growth stories and high-beta names, but capital often tells a different story.

Procter & Gamble sits at the center of a business model built around products consumers buy regardless of economic conditions.

That’s why defensive names tend to reappear when volatility increases.

From a technical perspective, $PG is attempting to reclaim key support levels and stabilize above its long-term moving averages after an extended consolidation phase.

Not the type of stock that usually dominates social media discussions.

But sometimes the most interesting signal isn’t what traders are chasing…

It’s where institutions may be positioning.

#PG #Stocks #Investing #StockMarket #DividendStocks

$MU Everyone wants AI exposure.

Few investors ask a simple question:

Where does all that AI data actually live?

The answer is memory.

Micron isn’t just another semiconductor company.

It’s one of the core beneficiaries of:

- AI Training
- AI Inference
- Cloud Infrastructure
- Datacenter Expansion

After an incredible run, the stock is pulling back into a major support zone ahead of earnings.

The AI narrative hasn’t changed.

The chart simply got less crowd

$PLTR Interesting timing.

While many traders focus on short-term price action, Alex Karp is talking about something much bigger:

AI is rapidly becoming a national security issue.

Not just software.
Not just business.

National security.

When governments begin treating AI as strategic infrastructure, companies positioned at the intersection of data, defense and AI become increasingly important.

That conversation may be much bigger than the next earnings report.

THE NEW SENIOR ENGINEER SKILL ISN'T WRITING MORE CODE

IT'S KNOWING HOW TO MANAGE 5 CLAUDE AGENTS WITHOUT LOSING CONTROL

GET A WHATSAPP NUMBER FOR YOUR AI AGENT

1️⃣ CREATE A KAPSO ACCOUNT

2️⃣ GRAB YOUR FREE PHONE NUMBER

3️⃣ CONNECT IT TO YOUR AGENT

NOW WORKS WITH:

* CHAT SDK
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kapso.ai

Jim Simons returned 66% a year for 30 years - the best track record in history.

His rule: never trust a strategy. Attack it until it proves itself or dies.

That's the man in this video.

You build a strategy and trust it. He built one and tried to murder it.

That's why 89% of retail loses - not bad ideas, ideas nobody broke before the market broke them.

Save this. The setups you never doubt are the ones that liquidate you.

Anthropic’s co-founder told new recruits to get hobbies that aren’t computers.

He said AI poses a “non-zero” chance of killing everybody on the planet.

He said AI will achieve recursive self-improvement by 2028.

Meaning it improves itself.

Without humans.

He said most of the world is “in denial” about what current AI can already do.

He said Mythos is “not a special model.”

That equally capable ones are coming from every lab within months.

And open-source versions from China within a year and a half.

The US Treasury summoned bank executives to discuss the implications.

So did British banking regulators.

Then Anthropic filed for a $1 trillion IPO.

The man warning new employees to touch grass is also making them very rich.

We are creating our own magic

Bonding Strategy: How to Earn 4–6% Per Day on Polymarket with Almost Zero Risk (FULL GUIDE)

Every day on Polymarket there are many markets where the outcome is already almost obvious to all participants

Yet the price often stalls at 97–99 cents even 24 hours before resolution

Bonding Strategy takes advantage of exactly this market feature

> How Bonding Works

You buy contracts at 97–99.5 cents and hold them until final resolution

The 1–3% difference remains because many traders don’t want to wait until the last hours and exit early

> How to Quickly Find and Trade These Markets

The most convenient way is through the Parity Terminal:

• Select the “Markets” tab and set your filters
• Probability: 95–99
• Spread: ≤ 0.05
• Liquidity: ≥ $10,000
• Time to Resolution: ≤ 1d

Bonding doesn’t require complex analysis or forecasts. It’s all about discipline and using market mechanics


My filters are listed below 👇
predictparity.com/markets?probMin=95&probMax=99&liqMin=10000&endMin=&endMax=1&exc=

Saturday, Jun 6 2026, 14:00 UTC time

🗞️ Latest Important Headlines — Market & FX Snapshot

🟡 📋 Iran conflict prolonged to 2027 — persistent oil shock
Oil price risk remains elevated: sustained geopolitical risk keeps Brent upside bias; recurring supply disruptions and tanker-route premium push energy inflation higher, supporting commodity-linked FX (AUD, CAD, NOK) and pressuring real incomes in Europe and Asia.

🔵 ✅ Safe-haven flows and FX volatility spike
USD, JPY, CHF strengthen intermittently: investors rotate into USD, JPY and CHF on risk-off; EM currencies and high-beta FX see outsized drawdowns. FX volatility stay elevated — hedging costs and option premia rise.

🟢 🔖 Gold & precious metals rally on uncertainty
Inflation hedge and reserve demand: prolonged conflict increases central bank and investor allocations to gold (XAU) and silver; higher safe-haven bids offset occasional USD rallies, keeping bullion in a structurally stronger range.

🟣 📌 Higher risk premia, policy and rate dynamics
Central banks face mixed signals: commodity-driven inflation pressures complicate rate outlook — some central banks resist cuts (ECB, BoC, RBA), while risk-off episodes dent growth, prompting cautious monetary language. Real yields fluctuate, supporting cyclical bond repricing.

🟠 📋 Capital flows, sanctions and trade fragmentation
Rewiring of trade & payments: extended sanctions/supply-chain shifts accelerate de-risking from certain corridors — higher transaction costs, increased onshore financing for energy importers, and renewed focus on strategic stockpiles across advanced economies.

🔴 ✅ Implications for traders & investors — tactical checklist
Risk management priorities:
- Hedge oil sensitivity and FX exposure (use options or forwards). 
- Monitor safe-haven carry: short-duration positions in volatility spikes. 
- Favor quality FX and assets: USD/JPY, CHF, high-grade sovereigns, and gold. 
- Watch central bank communications for policy divergence and liquidity cues.

Bottom line: A multi-year Iran conflict scenario means structurally higher energy and risk premia, persistent FX volatility, stronger safe-haven demand (USD/JPY/CHF, gold), and more complex policy trade-offs for global central banks — position sizing, active hedging and scenario planning are essential.

June '26 LLM list (preliminary)

GPT-5.6 ❌
Claude Sonnet-4.8 ❌
Claude Mythos (official) ❌
Gemini 3.5 Pro ❌
Gemma 4 12B ✅
Grok 5 ❌
MiniMax M3 ✅
Nemotoron 3 Ultra ✅
Qwen3.7-Plus ✅
Qwen3.7-30B ❌ 🙏
Kimi K3.0 ❌
GLM 5.2 ❌
Hunyuan3 MoE ❌
MAI Thinking-1 ✅
MAI Code-1-Falsh (coding model) → VSCode ✅
MAI Image-2.5 ✅
MAI Image-2.5-Flash ✅
MAI Transcribe-1.5 ✅
MAI Voice-2 ✅
MAI Voice-2-Flash ✅

$CIFR CEO Tyler Page says the company may generate its own power on-site to move faster on AI data center demand.

Hyperscalers need power faster and Cipher may be able to “tap the pipeline” instead of waiting years on the grid.

Humanoid robots already have a podium.

‣3rd place goes to mobility.
Walking balance, recovery.

‣2nd place goes to work.
Carrying boxes sorting parts repeating factory tasks.

‣1st place belongs to autonomy.
Still loading.

The robot that needs fewer human corrections wins the next decade.

Which company gets there first?

$WULF TeraWulf's HPC revenue reached about $21M last quarter, up 117% QoQ as AI infrastructure demand continues to surge.

$MS Morgan Stanley's Stephen Byrd highlighted the company's power and infrastructure expertise as a key advantage.

With AI token demand outpacing available compute, $NBIS, $IREN, and $CRWV are well positioned to benefit.

$META trades at just 22x forward earnings and less than 13x operating cash flow, cheaper than $AAPL at 30.2x, $GOOGL at 29.9x, and $AMZN at 33.5x forward earnings.

At the same time, Meta is reportedly exploring raising tens of billions of dollars for AI infrastructure, signaling its AI investment cycle is still accelerating.

🇺🇸 JUST IN: OpenAI and the Trump administration are reportedly discussing a potential U.S. government stake in the AI startup.

15 sectors defining the next decade of investing

The megatrend map.

1. AI
$NVDA · $PLTR · $APP
The infrastructure king, the data layer, and the monetization engine. Three different ways to own AI.

2. Chips
$AMD · $AVGO · $MU
Compute, custom silicon, and memory. The full semiconductor stack.

3. Space
$RKLB · $ASTS · $PL
Launch infrastructure, satellite broadband, and geospatial intelligence. Pre-SpaceX IPO re-rating still unfolding.

4. ₿ Crypto
$COIN · $MSTR · $GLXY
Exchange infrastructure, BTC treasury play, and mining leverage. Three different risk profiles.

5. Energy
$VST · $NEE · $FSLR
AI power demand is the new oil shock. These three sit at the intersection of grid scale and renewables.

6. Drones
$AVAV · $KTOS · $ONDS
Autonomous defense and dual-use tech. Defense budgets are only going one direction.

7. Nuclear
$OKLO · $SMR · $LEU
The only baseload clean energy that hyperscalers can actually contract. Still early, still underpriced.

8. Robotics
$ISRG · $SYM · $PATH
Surgical precision, warehouse automation, and enterprise AI workflows. Labor replacement at scale.

9. Quantum
$IONQ · $RGTI · $QBTS
Highest risk on the list. Longest time horizon. Size accordingly — the upside is generational if it works.

10. Batteries
$QS · $LAC · $BE
Solid-state technology, lithium supply chain, and grid-scale storage. The energy transition needs all three.

11. Healthcare
$HIMS · $UNH · $LLY $MRNA
Diversified pharma cash flow, next-gen biologics, and mRNA platform optionality beyond COVID.

12. Photonics
$AAOI · $COHR · $LITE
The most underowned layer of AI infrastructure. Data centers need optical interconnects — demand is accelerating.

13. Rare Earths
$MP · $USAR · $FCX
Supply chain sovereignty is the new geopolitics. The West needs domestic rare earth and copper supply. Now.

14. Manufacturing
$ETN · $CAT · $GE
The physical backbone of AI buildout — power distribution, heavy equipment, and aerospace. Old economy, new tailwind.

15. Critical Minerals
$FCX · $UAMY · $CRML
Copper, lithium, and battery metals. Every AI data center, EV, and grid upgrade runs on these. The commodity cycle is structural.

This isn’t a buy list. It’s a framework.

Find your highest-conviction themes. Size appropriately. Think in years.

🚨: Asteroid Psyche 16 has been found to contain gold reserves worth $700 quintillion.

That's enough to make everyone on Earth billionaires.

NASA’s Psyche mission suggest that 16 Psyche one of the largest objects in the asteroid belt is even richer in metal than previously believed

Here is the Asus RTX Spark mini Windows PC. With 128GB of unified memory it lands right below the $4,600 DGX Spark Linux PC and just above the $3,300 128GB AMD Strix Halo Win PC. The is a crowded pricing tier.