Elad Inbar Profile picture
Aug 21 11 tweets 4 min read Read on X
The U.S. just launched a $100 MILLION strike.

The target: China’s AI dominance.

OpenAI and Nvidia execs are backing it.

Their first discovery?

A shocking truth about how breakthroughs really happen: Image
China now controls 5 of the top 15 open-source AI models.

In July alone, Chinese companies released 4 leading models.

American developers released zero.

This isn't just losing market share. It's about losing control of AI's future...
While U.S. companies protected proprietary models, China went all-in on open-source.

DeepSeek released tech matching Western rivals for free.

This sparked a "DeepSeek moment" inspiring developers worldwide.

Sam Altman admitted OpenAI might be "on the wrong side of history":
Innovation speed beats innovation quality.

China didn't win by building perfect models in closed labs.

They won by getting technology into developers' hands fast.

This changes how breakthroughs happen...
Take robotics progress.

We don't advance by perfecting models for years.

We advance by deploying, learning, and iterating in real environments.

Every stuck delivery bot teaches something.

There's a deeper connection most people miss:
Open-source AI isn't just software. It's the backbone of progress.

From delivery bots to humanoids, every leap in physical automation depends on faster AI innovation.

When AI models are locked away, development crawls.

That's why ATOM's $100 million bet matters...
If they succeed, we won't just close the gap with China in AI.

We'll accelerate the U.S. robotics revolution.

Imagine 10,000 GPUs powering openly available models within 12 months.

Every startup, lab, and integrator could build on world-class AI.

The implications?
Plants could deploy smarter robots faster.

Restaurants could automate with proven AI.

Warehouses could optimize with cutting-edge models.

All because the underlying AI is open, fast, and improving daily.
The ATOM Project is more than a race to match China’s AI output.

It’s an opportunity to reassess how the U.S. approaches innovation.

Because AI that stays in the cloud is potential.

AI that powers robots in the real world is progress.

And progress is how we win.
Your success is our mission.

We empower businesses and educators to overcome challenges and thrive by harnessing the power of AI and robotics automation.

Visit: robotLAB.com x.com/75159062107320…
Video/Image Credits:
U.S. vs. China: Silicon Valley VCs divided on AI strategy
youtube.com/watch?v=JZiZ4s…
OpenAI CFO Sarah Friar: Biggest issue we face is being 'constantly under compute'
youtube.com/watch?v=8MVlZZ…
Tariffs and Tension: The U.S.-China Trade Standoff During Trump 2.0
youtube.com/watch?v=ql-KL1…
Image: flickr.com/photos/whiteho…

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More from @Inbarium

Jun 6
The best companies in 2025 aren’t winning by chance.

They all mastered one invisible advantage:

Not talent. Not timing. Not capital.

It’s operational leverage.

Here’s how they built it (and how you can too): 🧵 Image
Traditional scaling creates a vicious cycle.

More people equal more management overhead.

More complexity equals more things breaking.

More meetings equal less actual work getting done.

This is why so many companies hit growth walls...
In my robotics work, I've watched countless businesses get trapped.

Founders spend entire days managing instead of building.

Teams burn out from constant firefighting.

Revenue grows, but profits shrink.

There's a better way:
Read 14 tweets
May 30
By 2045, AI will be smarter than every human on Earth combined.

But your fate? Sealed by 2028.

That’s Ray Kurzweil’s prediction — the futurist who predicted smartphones in 1990.

Here’s what he says comes next (and how you prepare): 🧵 Image
Ray Kurzweil didn't just guess lucky.

His "Law of Accelerating Returns" reveals why tech progress is exponential, not linear.

This pattern explains his perfect track record.

But it also reveals something crucial about the next 4 years...
The singularity isn't just "smart AI."

It's when technology improves ITSELF exponentially without human input.

AI systems that rewrite their own code, optimize their own performance, and solve problems humans never considered.

The early signs are already here:
Read 14 tweets

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