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Category: robotics/AI – Page 3

This Script Lets You Remove Built-In Windows 11’s AI Features

Windows 11 has been pushing AI features harder than ever over the past year, and there’s no sign of that slowing down anytime soon. From Copilot sitting in your taskbar to Recall capturing your screen, Microsoft’s AI is becoming impossible to ignore, and often impossible to remove.

If you value your privacy or just prefer a cleaner OS, a PowerShell script called Remove Windows AI is now available on GitHub. It was released by developer Zoicware and does exactly what it promises: it targets Copilot, Recall, Windows Studio Effects, and other related background services that run by default.

The script is actively maintained to ensure it can remove newly added AI components as they appear. If you find an AI feature or registry key that the script doesn’t remove, report it with details so the developer can add it in a future update.

Post-Human Economics

With the rise of AGI, the need for Primal eye theory and the understanding of our form of sentience becomes greater than ever if we who are “Born of Nature” are to remain relevant.

Which is, of course, my doing. I’ve been working on a couple of big projects across the summer; time has been, to say the least, at a premium. The real point is: both projects have major implications for the future of this newsletter. I can’t wait to share more on all that in the coming weeks.

In the meantime, though, I’ve still been writing a whole lot. As most of you know, along with Raoul Pal I run The Exponentialist, a community focused on emerging technologies and their economic, social, and human implications.

In this special update, then, I’d like to share a recent essay from The Exponentialist. One that allows you a glimpse of the kind of work I do there. And that articulates an set of idea that are at the heart of my current thinking when it comes to our journey into the decades ahead.

This is how I’m preparing for AI (and you can too)

As AI replaces traditional wage labor, individuals should prepare for an automated future by adapting their skills, investments, and lifestyle to focus on economic stability, personal growth, and self-directed living ## ## Questions to inspire discussion.

Capital Economy Participation.

A: Invest in dividend-producing ETFs for a hands-off approach to wealth building, as AI and robotics reduce labor demand and shift wealth distribution toward capital ownership rather than wages.

🏢 Q: What ownership structures should I explore beyond traditional employment?

A: Consider Employee Stock Ownership Plans (ESOPs) to become a part-owner of companies, but approach Decentralized Autonomous Organizations (DAOs) cautiously due to their high-risk nature despite offering ownership opportunities.

⚠️ Q: Should I rely on Bitcoin for income generation?

Continue reading “This is how I’m preparing for AI (and you can too)” | >

CES Reality Check: Are Humanoid Robots Getting Better or Just Flashier?

Here is the key idea of the video in a single sentence: Humanoid robots are rapidly advancing in design, capabilities, and functionality, but despite their impressive developments, they still face significant challenges and limitations that hinder their practical application and widespread adoption.

## Questions to inspire discussion.

Manis Glove Technology.

🖐️ Q: How does the Manis glove achieve accurate hand tracking? A: The glove tracks 25 degrees of freedom using inverse kinematics based on 6DOF per fingertip (position and orientation), enabling accurate motion capture even when fingertips are obscured.

🔌 Q: What hardware enables the Manis glove’s position tracking? A: The system uses transmitters at the base and receivers in fingertips to determine precise fingertip position relative to the transmitter, with simple calibration allowing different hand sizes as long as sensors stay in place.

📳 Q: How does the Manis glove provide haptic feedback? A: Haptic feedback at the PIP joints vibrates upon contact, enabling virtual world interaction and realistic surface contact simulation for teleoperation and clinical evaluations.

Continue reading “CES Reality Check: Are Humanoid Robots Getting Better or Just Flashier?” | >

NASA Rover Detects Electric Sparks in Mars Dust Devils, Storms

Perseverance confirmed a long-suspected phenomenon in which electrical discharges and their associated shock waves can be born within Red Planet mini-twisters.

NASA’s Perseverance Mars rover has recorded the sounds of electrical discharges —sparks — and mini-sonic booms in dust devils on Mars. Long theorized, the phenomenon has now been confirmed through audio and electromagnetic recordings captured by the rover’s SuperCam microphone. The discovery, published Nov. 26 in the journal Nature, has implications for Martian atmospheric chemistry, climate, and habitability, and could help inform the design of future robotic and human missions to Mars.

A frequent occurrence on the Red Planet, dust devils form from rising and rotating columns of warm air. Air near the planet’s surface becomes heated by contact with the warmer ground and rises through the denser, cooler air above. As other air moves along the surface to take the place of the rising warmer air, it begins to rotate. When the incoming air rises into the column, it picks up speed like spinning ice skaters bringing their arms closer to their body. The air rushing in also picks up dust, and a dust devil is born.

This Digital Brain Could Enable “Forbidden” Human Experiments

Further Reading.

This ‘digital brain’ could soon simulate ethically forbidden experiments.
https://ebrains.eu/news-and-events/2025/ten-years-of-pd14-mi…i-research.

A foundation model to predict and capture human cognition.
https://www.nature.com/articles/s41586-025-09215-4

First totally synthetic human brain model has been realized.
https://newatlas.com/medical/synthetic-human-brain-models/

#science #news #explained #research #sciencenews #biotech #robots #ai #artificialintelligence #organoid

Atom-thin, content-addressable memory enables edge AI applications

Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of data, the sourcing of information and the generation of use-specific content. To run AI models, current hardware needs to continuously move data from internal memory components to processors, which is energy-intensive and can increase the time required to tackle specific tasks.

Over the past few years, engineers have been trying to develop new systems that could overcome this limitation, running AI algorithms more reliably and efficiently. One proposed solution is the development of in-memory computing systems.

Content-addressable memory (CAM) is one of the earliest in-memory computing hardware systems, where memory components search for stored data faster, comparing each stored entry simultaneously based on its content, but faces challenges for AI applications because of the fundamental limitation of silicon transistors.

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