Two parents in Texas thought their 5-year old was broken.

He didn’t talk much. He lined up his toy cars by weight, not color. He cried when the dishwasher beeped on an odd second.

Then one morning he looked at the kitchen clock and said the time was wrong by 4 minutes.

It was.

His dad, half joking, asked him what 18 times 17 was. The kid answered before the question finished. 306.

They tested him with a calculator that night. 23 problems. He beat the phone on 19 of them.

No one taught him this. He’d never seen a multiplication table. He just looked at numbers the way other kids look at cartoons.

A professor drove 2 hours to meet him. Brought problems meant for graduate students. Factoring. Primes. Roots with no clean answer.

The boy got 7 in a row, then stopped, bored, and asked if he could go play with the cars.

The professor sat in his car for 10 minutes before driving home.

His brain doesn’t solve. It runs. Same way Claude Code reads the whole problem, plans every step, and ships the answer in one pass. No scratch work. Just output.

He can’t read a full sentence yet.

But somewhere behind those eyes, something is running the math the rest of us need machines for.

5 years old. No paper. No pause.

Just the answer, every time.

If I wanted to get rich with AI in 2026, this is exactly what I'd do.

There are 3 distinct paths to building wealth with AI - and I believe anyone can execute them.

You'll want to save this

Tesla’s mission was never just about cars

The cars were only the entry point

The real mission has always been much bigger:

Accelerate the world’s transition to sustainable energy

• That means generation
• That means storage
• That means software
• That means turning clean energy into reliable infrastructure

And now that vision is scaling fast

Tesla Megapacks are being deployed around the world to store renewable energy, stabilize grids, prevent outages, and make clean power available when the sun is not shining and the wind is not blowing

This is the part most people still miss:

The future of energy is not just about producing electricity

It is about storing it, dispatching it, and managing it intelligently at massive scale

Tesla Energy is already proving this across major markets including the United States, Australia, Canada, the United Kingdom, Japan, Chile, and beyond

In 2025 alone, Tesla deployed 46.7 GWh of energy storage

That is grid-scale infrastructure

Tesla is not just building EVs..

Tesla is building the battery-powered backbone of the sustainable energy age

$24,000,000,000,000 IN US BANKING ASSETS IS WATCHING ONE CEO LOSE HIS COMPOSURE.

🇺🇸 JPMorgan CEO Jamie Dimon today:
"He's full of shit."
"If he wants to be a bank, be a bank."
"We'll fight it. If we lose, we lose, and we'll live."

The target: Coinbase CEO Brian Armstrong.
The fight: CLARITY Act stablecoin yield rules.
The Senate Banking Committee already advanced it 15-9.

The largest US bank just confirmed publicly: they're losing the framework war.

Trillions follow the rules.
The rules just got written without them.

Scott Bessent just urged Congress to pass the CLARITY Act.

The U.S. Treasury Secretary.
Standing in front of Congress.

Demanding action.

The most important crypto bill in history now has the full weight of the U.S. Treasury behind it.

Banks tried to kill it. Failed.
Brian Armstrong tried to kill it. Twice. Failed.
Democrats tried to kill it. Failed.

Now the man who controls America's finances.
Is personally pushing lawmakers to move.

$20,000,000,000,000 waiting on the sidelines.

Presidential signature expected before July 4th.
Be positioned before the vote.

Bill Maher: How the hell does the government afford to pay people a Universal Basic Income if AI takes away all the jobs?

"How does the money get to the government if people aren't paying taxes?"

In America the government will just print more money

In europe, we already have the solution: VAT taxes on every service / product that the bot will produce

“And we are working with our allies all over Europe to grab villas and houses and properties. And this is money that's stolen from the Iranian people.”

We can tell what is going here no matter what language it is in.

You can just put a full AI supercomputer in ur pocket and it will print you money..

Nvidia dropped the DGX Spark

Your personal desk-sized beast that turns any idea into cash while normies beg for API credits.

This tiny Blackwell-powered monster delivers:
- 1 petaFLOP of AI performance,
- 128GB unified memory.
- And runs 200B parameter models locally.

No cloud bills.
No throttling.
Full control.

Endless ideas, endless money.

SpaceX → Scheduled to go public on June 12th

OpenAI → Scheduled to go public as early as September

Anthropic → Scheduled to go public as early as November

Cathie Wood and Ark Invest bought 252,134 shares of Kratos Defense $KTOS

🇺🇸 The future of warfare is already here: Shane Smith visits African Lion 2026 to see AI-assisted weapons and autonomous armed vehicles in action.

Military leaders argue the technology can't be paused because adversaries won't wait.

The ultimate holy grail of clean energy is closer than we think. A revolutionary new fusion reactor design is officially on track to connect directly to the power grid, bringing us a massive step closer to potentially powering the entire planet by 2030.

Unlike traditional nuclear plants, fusion generates boundless energy by mimicking the exact process that powers our sun, fusing atoms together instead of splitting them. This incredible technology produces zero greenhouse gases and leaves behind no long-lived radioactive waste, promising an era of completely clean, limitless electricity for everyone!

Once that happens then the Arab oil states will revert to their natural state,.....

Nobody sees my posts anymore...

So this is the perfect opportunity for us to whisper, quietly together

Goldman Sachs: "Token use by AI agents is expected to multiply 24 times by 2030"

AI agents are now creating the first serious cost test for the AI boom. As was reported this week, Uber and Microsoft are already rethinking expensive agent usage.

A chatbot may answer once, but an agent plans, calls tools, checks results, edits mistakes, and repeats the loop.

That loop can make one user request consume 10x, 50x, or even far more tokens than a normal answer.

Goldman’s bullish case is that monthly token use could reach 120 quadrillion by 2030, while inference cost per token keeps falling 60%-70% per year.

The fight is now between agent productivity and token waste.

Earlier this month, Microsoft began revoking developer access to Claude Code, with plans to move them to its in-house Copilot Command Line Interface tool by June 30. The company has framed this as consolidating teams around its own tools, but the timing at the fiscal year’s end hints it may also be about lowering costs.

🚨BREAKING: NVIDIA wants to turn your house into part of an AI data center.

Not metaphorically.

A startup backed by NVIDIA is installing GPU-powered compute nodes outside people's homes.

They look like oversized AC units.

But inside one box:

→ 16 NVIDIA Blackwell GPUs
→ 4 AMD EPYC server CPUs
→ 3TB RAM
→ 15kWh backup battery

Over $200,000 worth of AI hardware.

And it sits in your backyard.

Homeowners don't buy it.

Instead:

→ Installation is free
→ Electricity + internet costs are covered
→ A small monthly fee is paid to participate
→ The unused power capacity of your home becomes AI infrastructure

The idea is simple:

Most homes never use their full electrical capacity.

Span wants to aggregate thousands of homes into one giant distributed AI cluster.

Their claim:

8,000 homes could create the equivalent of a 100MW AI data center.

5× cheaper.

6× faster to deploy.

No waiting years for new grid connections.

No billion-dollar data center campuses.

Just thousands of suburban homes quietly running AI workloads.

The first 100-home pilot launches in 2026.

If it works, the next AI data center might not be built in the desert.

It might be built on your street. 👀

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 models that many gaming PCs can't even open.

And the math is surprisingly simple.

Many AI builders spend $1,500–$3,000 every month renting cloud GPUs for agents, fine-tunes, client work, and large models.

This setup turns that monthly bill into hardware he actually owns.

No hourly GPU charges.

No cloud bill growing in the background.

No margins disappearing every time an agent runs longer than expected.

Just a personal AI cluster sitting on a desk.

The crazy part?

Most people still think local AI means running a tiny model on a laptop.

Meanwhile, some builders are quietly bringing data-center-level compute home.

Save this post.

Home AI labs could become the new mining rigs.

McKinsey report: AI skills are getting hotter across Europe’s job market.

Nearly 1 in 5 European occupations now ask for AI-related skills, more than 3x the share seen in 2023.

The fastest-growing skill is not model building, but AI fluency, which means knowing how to prompt, manage, check, and apply AI systems inside real jobs.

Demand for AI fluency grew 5x, from work covering 1.9M employees in 2023 to 9.4M in 2025.

Demand for technical AI skills grew only 1.7x, which means Europe needs far more AI users than AI engineers.

The demand is still concentrated, with 75% coming from computer, management, and business-finance roles, but it is spreading into logistics, HR, compliance, and skilled trades.