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The Chinese Government Just did What With AI?
Should this even be legal?
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Chinese Scientists Just Made a Robot Controlled by Human Brain Cells
Here's something that sounds like science fiction but isn't.
Chinese researchers grew human brain tissue in a lab. Then they wired it to a computer chip. Then they used that setup to control a robot.
The robot learned to avoid obstacles. It grabbed objects. It tracked moving targets. All controlled by living human neurons.
This actually happened in 2024.
Wait, What Exactly Did They Build?
The team at Tianjin University created something called MetaBOC. Think of it as a brain sandwich.
The bottom layer is a silicon chip covered in tiny electrodes. The top layer is a blob of human brain tissue about the size of a pea. The tissue comes from stem cells - no humans were harmed.
When you stimulate the brain tissue with electricity, it responds. The chip reads those responses and turns them into commands for the robot.
It's like mind control. Except the mind is sitting in a petri dish.
How Smart Is This Thing?
Not very. Yet.
The brain tissue has about 10,000 neurons. Your brain has 80 billion. So we're talking about something with the intelligence of... well, not much.
But here's what's interesting. Those 10,000 neurons can learn.
The researchers showed the system a target. The brain tissue figured out how to make the robot grab it. They put up obstacles. The tissue learned to steer around them.
Each time the robot succeeded, the system got positive feedback. Each failure taught it something new.
Sound familiar? That's basically how your brain works too.
The Creepy Part
Using human brain tissue to control machines raises some obvious questions.
Can this tissue suffer? Does it have experiences? If you hurt it, does that matter?
Right now, probably not. 10,000 neurons isn't enough for consciousness. Your gut has more neurons than that.
But what happens when they scale this up? What if they grow brain tissue with millions of neurons? Billions?
The researchers say they're being careful about ethics. China even released guidelines for brain-computer research in early 2024. But still. This is uncharted territory.
Why This Matters
Three reasons this could be huge.
First, medicine. Imagine growing brain tissue from a patient's own cells. You could test drugs on it. Study diseases. Maybe even use it to repair brain damage.
Second, computing. Human neurons use almost no power compared to computer chips. They're also really good at certain types of learning. Combining biological and artificial intelligence could create something better than either alone.
Third, this is just the beginning. The team made their system open source. Anyone can download it and improve it.
And they will.
The Bigger Picture
We're watching the birth of a new field. Not just artificial intelligence. Not just brain-computer interfaces. Something that combines both with actual living tissue.
Other labs are working on similar projects. A company called Cortical Labs taught brain cells to play Pong. Researchers at various universities are growing more complex brain organoids every year.
The technology is moving fast. Maybe too fast.
What Happens Next?
The researchers want to make their system more sophisticated. More neurons. More complex tasks. Better integration between the biological and artificial parts.
They're talking about robots that could think more like humans. Machines with intuition. AI that learns the way we do.
But they're also talking about keeping the tissue healthy. Feeding it nutrients. Protecting it from infection. Making sure it doesn't die.
Because that's the thing about biological computers. They're alive. And that changes everything.
The Bottom Line
A robot controlled by human brain cells exists today. It's primitive, but it works.
This isn't just a cool science experiment. It's the first step toward something much bigger. Hybrid intelligence that combines the best of biological and artificial systems.
Whether that's exciting or terrifying probably depends on your perspective.
But ready or not, it's happening.
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