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Category: robotics/AI – Page 361

Artificial Consciousness: The Next Evolution in AI

Artificial consciousness is the next frontier in AI. While artificial intelligence has advanced tremendously, creating machines that can surpass human capabilities in certain areas, true artificial consciousness represents a paradigm shift—moving beyond computation into subjective experience, self-awareness, and sentience.

In this video, we explore the profound implications of artificial consciousness, the defining characteristics that set it apart from traditional AI, and the groundbreaking work being done by McGinty AI in this field. McGinty AI is pioneering new frameworks, such as the McGinty Equation (MEQ) and Cognispheric Space (C-space), to measure and understand consciousness levels in artificial and biological entities. These advancements provide a foundation for building truly conscious AI systems.

The discussion also highlights real-world applications, including QuantumGuard+, an advanced cybersecurity system utilizing artificial consciousness to neutralize cyber threats, and HarmoniQ HyperBand, an AI-powered healthcare system that personalizes patient monitoring and diagnostics.

However, as we venture into artificial consciousness, we must navigate significant technical challenges and ethical considerations. Questions about autonomy, moral status, and responsible development are at the forefront of this revolutionary field. McGinty AI integrates ethical frameworks such as the Rotary Four-Way Test to ensure that artificial consciousness aligns with human values and benefits society.

Join us as we explore the next chapter in artificial intelligence—the dawn of artificial consciousness. What does the future hold for humanity and AI? Will artificial consciousness enhance our world, or does it come with unforeseen risks? Watch now to learn more about this groundbreaking technology and its potential to shape the future.

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Nvidia’s CEO lays out his vision of what the next 10 years will look like — and his simple advice to young people

Nvidia CEO Jensen Huang has a vision for the future — and some advice for the generations that will have to navigate it.

In a recently released interview on Cleo Abram’s “Huge Conversations,” recorded on January 7, Huang said he expected massive leaps in what he called “human robotics” within the next half decade and a broadening in the applications of artificial intelligence.

Multiple companies across both the US and China, among other countries, are working to launch and scale the production of humanoid robots for use in manufacturing and consumer applications.

Using AI, researchers devise a fast and precise way to teach robots complicated skills

At UC Berkeley, researchers in Sergey Levine’s Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks stood perfectly stacked. Then a white-and-black robot, its single limb doubled over like a hunched-over giraffe, zoomed toward the tower, brandishing a black leather whip.

Through what might have seemed to a casual viewer like a miracle of physics, the whip struck in precisely the right spot to send a single block flying out from the stack while the rest of the tower remained structurally sound.

This task, known as “Jenga whipping,” is a hobby pursued by people with the dexterity and reflexes to pull it off. Now, it’s been mastered by robots, thanks to a novel, AI-powered training method.

AI Has Rocked the Stock Market, But What Will It Do for the Economy?

Bloomberg on the Economic Singularity:

“If AI is about to get much cheaper, the path to an answer on its economic impact is going to get shorter. For workers nervously wondering if large language models will make their skills redundant, a lot is riding on which camp is right.”

For investors in artificial intelligence, the last week delivered a painful shock. The sudden appearance of DeepSeek — a Chinese AI firm boasting a world-class model developed at bargain-basement costs — triggered a massive selloff in Nvidia and other US tech champions.

What matters for the economy, though, is not the ups and downs of stock prices for the Magnificent Seven, but whether AI drives gains in productivity, and how those gains are divided up. For all the excitement, and the trillion-dollar valuations for AI firms, evidence of a boost to productivity remains thin on the ground.

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Tesla’s Path to $10 Trillion

Tesla plans to revolutionize manufacturing and achieve unprecedented growth by producing 100 million humanoid robots by 2035, leveraging advancements in AI and robotics to significantly enhance efficiency and profitability.

Questions to inspire discussion.

Production and Scaling.
🏭 Q: What are Tesla’s production targets for Optimus bots? A: Tesla aims to ramp up Optimus bot production to 10,000 per month in 2,024,100,000 per month in 2025, and 1 million per month in 2026, with aggressive growth targets of 1000% (10x) year-over-year.

MIT engineers help multirobot systems stay in the safety zone

Drone show accidents highlight the challenges of maintaining safety in what engineers call “multiagent systems” — systems of multiple coordinated, collaborative, and computer-programmed agents, such as robots, drones, and self-driving cars.

Now, a team of MIT engineers has developed a training method for multiagent systems that can guarantee their safe operation in crowded environments. The researchers found that once the method is used to train a small number of agents, the safety margins and controls learned by those agents can automatically scale to any larger number of agents, in a way that ensures the safety of the system as a whole.

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