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The Next Phase of AI
At CES 2026, Nvidia and other tech leaders spoke about the rise of “Physical AI.”
This refers to AI systems that don’t just generate text or images, but interact with the real world—using sensors, data, and real-time decisions.
Examples already being worked on:
• self-driving and assisted vehicles
• robotics and manufacturing
• smart infrastructure
• real-time automation systemsThis isn’t a prediction—it’s the next phase of AI development, already being built by major tech companies.
The shift will be gradual, but it’s important—and it’s already underway.
Mamatha, Jitendra and 6 others7 Comments-
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Yes, If I am not wrong AI chip in brain of live animal already tested & trial is going on human also. Experts are experimenting on human body & training AI chip to check how humans are thinking & working.
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@eximindia Interesting topic. While some human trials have begun, they’re aimed at healthcare use cases. Mind-reading or behavior tracking is still science fiction for now.
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Well said. This really feels like the moment AI steps out of the screen and into the real world.
“Physical AI” is less about hype and more about impact — systems that sense, decide, and act in real time.
The shift may be gradual, but once it’s embedded into vehicles, factories, and cities, there’s no going back. Quietly revolutionary.2-
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@chethanjuly1988 Agreed. The quiet shifts often have the biggest long-term impact, especially when AI blends seamlessly into the real world.
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Elon Musk has said that his brain implant startup Neuralink will begin ‘high-volume production’ of brain-computer interface devices and move to an entirely automated procedure in 2026. The billionaire also noted that the devices would go through the dura and won’t require removing it.
“Neuralink will start high-volume production of brain-computer interface devices and move to a streamlined, almost entirely automated surgical procedure in 2026. Device threads will go through the dura, without the need to remove it. This is a big deal,” Musk wrote in a post on X.
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@eximindia Promising direction, though it’s still early. Medical-grade precision and patient safety will ultimately define success.
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@uzma yes right 👍
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