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Jan 27 19 tweets 7 min read Read on X
A Chinese company just shattered OpenAI's $18 billion advantage:

They proved you can build ChatGPT-level AI for 100x cheaper.

And it's about to trigger the biggest market crash since the dot-com bubble.

Here's why the Chinese are keeping this a secret: Image
For the past 5 years, the AI industry has been built on one core assumption:

Building powerful AI requires massive resources.

Huge data centers. Thousands of engineers. Billions in funding.

That assumption just got shattered:
OpenAI has raised $18 billion.

They've built some of the world's most advanced data centers, hired the brightest minds, and spent years perfecting their models.

All based on the belief that this was the only way forward.

But something just changed everything:
A new AI model has matched their performance at a fraction of the cost.

Not just marginally cheaper.

We're talking about an order of magnitude reduction in what it takes to build world-class AI.

This isn't just disruption - it's an extinction event.

China knows this, that's why DeepSeek just restricted registration to mainland China mobile numbers only.
To understand why, we need to look back at the dot-com crash of 2000.

History doesn't repeat itself...it rhymes.

Companies spent hundreds of billions laying fiber optic cables under oceans. This is remarkably similar to what happened with GPU's in the 2000's.

They built enough infrastructure to handle 50 years of internet traffic growth.

Everyone was convinced this was the future:Image
But they made a crucial miscalculation:

The infrastructure far outpaced actual demand.

Companies like Webvan built billion-dollar warehouses, assuming everyone would instantly start buying groceries online.

They were right about the trend, but catastrophically wrong about timing.

That is a universal law of disruptive technology - eventually, supply exceeds demand and the cycle resets:
When reality hit, it was brutal:

• Stock prices collapsed
• Companies went bankrupt
• Trillions in value vanished

Today's AI boom is following the exact same pattern, but the numbers are even more shocking:
Sequoia predicts the AI industry needs $600 billion in revenue to justify current investments.

We're at just 10% of that today.

This isn't just a gap - it's a chasm between expectation and reality.

And now comes the catalyst that brings it all down: Image
This breakthrough in efficient AI development proves something stunning:

Most of the massive infrastructure being built right now is unnecessary.

Think about the implications:

• Billions in data centers? Overkill
• Massive hardware investments? Wasteful
• Current AI valuations? Pure fantasy

Here's why this changes everything:
The entire economic model of the AI industry is built on scarcity:

"Only a few companies can afford to build powerful AI."

That scarcity just vanished.

And when artificial scarcity disappears, bubbles pop:
Just like the internet in 2000, AI is about to enter its "trough of disillusionment."

Not because the technology doesn't work.

But because we've built an entire industry on assumptions that are no longer true.

History tells us what happens next:
After the dot-com crash, something fascinating happened:

While the media declared the internet "dead," the real revolution began quietly.

Amazon wasn't building unnecessary infrastructure.

They were solving real problems for customers:
The same transformation is coming to AI.

Web4 will emerge from the ashes, built on fundamentally different principles:

• Efficient, affordable AI models
• Decentralized infrastructure
• Natural human interfaces
• Value from data quality, not brute force compute

This reshapes the entire landscape:
The winners won't be who you expect.

Just like Amazon understood retail better than understood pets...

The next AI giants will be built by people who understand real human needs.

Three massive shifts are already beginning:Pets.com
1. Edge Computing Over Cloud:
AI moves from massive data centers to local devices, bringing privacy and speed

2. Data Quality Over Size:
Better data beats bigger models

3. Practical Uses Over Demos:
Solving real problems beats impressive parlor tricks

The smart money sees this coming:Image
We're witnessing a pivotal moment in tech history.

The AI bubble will burst.

But just like the internet after 2000, what comes next will be far more revolutionary than anyone expects.
Thanks for reading! - you're awesome!

Follow me @thegrahamcooke for more.

Like/Repost the quote below if you benefited:
A bit more about me!

I'm Graham.

Author, innovator, entrepreneur, and one of the first European employees at Google. I built products with them that generated over $2B+ in revenue.

Currently working on @bravaxyz for effortless, secure, stablecoin yields, on autopilot.

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More from @GCcookeHQ

Aug 26
Anthropic downloaded 7 million pirated books to train Claude.

Authors are suing for $150,000 per book—that's over $1 trillion in damages.

The trial starts December 1, 2025.

Here's the copyright case that could bankrupt AI's biggest players: Image
Anthropic allegedly used piracy sites LibGen and PiLiMi to build a "central library."

Their internal goal? Collect "all the books in the world" and keep them "forever."

This wasn't scraping. It was a systematic acquisition.

The scale shocked even the judge:
Copyright damages work like this:

Minimum: $750 per work.
Maximum: $150,000 per work.

7 million books × $150,000 = $1.05 trillion.

Even at minimum damages, we're talking $5.25 billion:
Read 17 tweets
Aug 25
We're definitely NOT living in a computer simulation.

A simple calculation proves it: the entire galaxy couldn't power a single day of fake reality.

The calculation is so simple, a 5th grader could understand it.

Here's the 30-second proof we're definitely living in reality: Image
Google's new first-person view AI simulates human experiences.

You input "paint a wall" or "mow a lawn."

The AI generates a video showing these actions from a human's eyes.

Not text. Not descriptions. Actual first-person perspective video.

It's eerily close to how we experience reality:
This breakthrough sparked a deeper question.

If AI can simulate human perspective this realistically, are we sure our own reality is real?

Simulation theory suggests our entire universe might be running on some advanced computer.

Like we're characters in a cosmic video game:
Read 14 tweets
Aug 22
China's new robot mall looks like something straight out of Blade Runner.

Humanoid robots greet customers. Androids pour coffee. AI assistants negotiate prices.

You can take one home today for $278 - less than your iPhone.

But here's what they're not telling you about these robots:Image
Beijing's E-Town district just opened the world's first Robot Mall.

4,000 square meters. 100+ robots. 50+ brands on display.

Not a tech expo - an actual store where you buy humanoid assistants.

What happened next reveals how work itself is about to change:
556,000 industrial robots were produced in China last year alone.

That's more than the rest of the world combined.

But the Robot Mall isn't selling factory machines.

They're selling household assistants, elder care companions, restaurant servers.

The shift from industrial to personal robotics changes everything:
Read 15 tweets
Aug 14
Google just betrayed Silicon Valley with a single signature.

Now, they've got to reveal their training data & pay creators.

While Meta refuses the EU's AI rules, Google signed them anyway.

Here's why Google chose Europe over America: Image
The world's strictest AI framework, the EU AI Act, took effect earlier this year.

Now, companies must disclose how they train AI, protect creator copyrights, and pass safety audits.

Meta called it innovation-killing.

Google signed it Wednesday:
Kent Walker from Google warned the rules could "expose trade secrets."

He said they'd "chill European model development."

He signed anyway.

"We hope this Code will promote secure AI tools for European citizens."

Translation: Google's playing a different game:
Read 14 tweets
Aug 12
Zuckerberg just built a secret AI lab that even Meta employees can't access.

50 elite researchers poached from OpenAI.

$72B burning with no business plan.

Wall Street's calling it a disaster waiting to happen: Image
Meta's losing the AI race badly.

Llama 4 flopped with developers.

The Behemoth model was delayed due to failing standards.

Internal teams started using competitors' models instead.

That's when Zuckerberg made his move:
March 2024: He draws up a target list.

50 top AI minds from OpenAI, Apple, and Google.

Offering 9-figure signing bonuses to switch sides.

The compensation packages shocked Silicon Valley:
Read 17 tweets
Aug 11
Microsoft built a 1-million-qubit quantum computer.

Bitcoin holders are panicking—this could crack crypto encryption.

But your seed phrase has 340,000,000,000,000,000,000,000,000,000,000,000,000 combinations.

Here's why quantum still can't touch it: Image
Image
We massively underestimate the miracle of mathematics protecting our digital assets.

Yes, quantum computing is advancing faster than expected.

But the math securing your crypto wallet is more powerful than you realize:
Microsoft's breakthrough uses "topological qubits" - fundamentally different from Google's approach.

Regular qubits lose their quantum state from the slightest disturbance.

Microsoft's are like knots in rubber bands - stretch and twist, but the knot remains:
Read 16 tweets

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