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🚀 The Alien Civilizations That Chose Infinite Knowledge Instead of Space Travel

What if advanced alien civilizations achieved infinite knowledge not through space travel, but by harnessing the power of stars? This video explores how a type 2 civilization could repurpose a star into a giant computer, a concept tied to the kardashev scale and the theoretical dyson sphere. It’s a fascinating look into advanced future technology and the potential of artificial intelligence in the cosmos.

Where Are All The Alien Robots? The Chilling Idea Of Von Neumann Probes

As you know, I’m obsessed about the Fermi Paradox. Where are all the aliens? But an even stranger question is: where are all the robot aliens?

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Team: Fraser Cain — @fcain / frasercain@gmail.com.
Jason Harmer — @jasoncharmer.
Chad Weber — weber.chad@gmail.com.

Created by: Fraser Cain and Jason Harmer.
Edited by: Chad Weber.
Music: Left Spine Down — “X-Ray”
• Left Spine Down — Side Effect (new track 2…

If you’ve seen at least one other episode of the Guide to Space, you know I’m obsessed about the Fermi Paradox. This idea that the Universe is big and old, and should be teeming with life. And yet, we have no evidence that it exists out there.

We wonder, where are all the aliens?

Compute is the New Capital: How AI Tokens Became the Valley’s Most Powerful Currency

If you want to know what the tech world really values right now, just look at what it’s measuring. We used to obsess over lines of code, and then it was all about daily active users and engagement metrics.

But lately, I’ve been watching a pretty profound shift taking place. The industry isn’t just optimizing for headcount or dollars anymore; it’s optimizing for tokens. For the first time, cognitive output has a measurable unit cost, and this little backend metric is quietly becoming the foundational currency of the digital economy.

I just published a new piece diving into how this “token economy” is actually playing out on the ground. Right now, we’re in this wild phase where folks are flexing their token burn rates, and massive players are even trading raw compute power for startup equity.

But this brute-force volume game is just the beginning. We’re moving toward a really fascinating future where AI agents will dynamically negotiate with each other over global compute exchanges, and companies will start managing their processing power like a true financial asset. It’s an entirely new way of thinking about how we build and scale.

Treating AI as just another flat-fee software subscription probably isn’t going to cut it for much longer. The organizations that really thrive in the next decade will be the ones who figure out how to navigate this new intersection of intelligence, energy, and scale.

I put together a deep dive into how compute is becoming the new capital, and what this macroeconomic shift actually means for the rest of us. I’d love to hear your take on it—check out the full post below.


Scientists Built Synthetic Self-perpetuating Brain For Robots

Further Reading.

Self-powered analogue neuromorphic system for multimodal sensing, encoding and learning with diffusive and drift memristors.
https://www.nature.com/articles/s4446

Reservoir Computing: Foundations, Advances, and Challenges Toward Neuromorphic Intelligence.
https://www.mdpi.com/2673-2688/7/2/70

Embodying physical computing into.
soft robots.
https://www.nature.com/articles/s4146

Artificial Nervous Systems.
https://pmc.ncbi.nlm.nih.gov/articles

Brain Cells Master Doom: Cortical Labs’ Biological Computer Reaches Major AI Milestone

Silicon Scoop

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YouTube: • Silicon Scoop.

Startup Talk.

AI makes a major breakthrough in a math problem that had stumped experts for decades

For nearly 80 years, mathematicians have struggled to solve a classic geometry puzzle first posed by Paul Erdős in 1946: the planar unit distance problem. The question posed by the legendary Hungarian mathematician was, on the surface, deceptively simple.

It asks: if you take a piece of paper and add some dots, how many pairs can be exactly the same distance apart? Erdős himself proposed that the maximum number grows only slightly faster than the number of dots. Although many mathematicians agreed with him, no one could find a way to mathematically prove it.

Smartphones may soon be able to track hidden objects using LiDAR

Modern smartphones are packed with incredible technology, from high-resolution cameras and advanced graphics chips to AI processors. In premium models, this hardware includes LiDAR (light detection and ranging), which helps power augmented reality features and improve depth sensing.

And that capability could soon be in for a seriously impressive upgrade. Researchers at the Massachusetts Institute of Technology (MIT) have developed an algorithm that lets a phone’s LiDAR sensor detect objects hidden around corners. Details are in a paper published in the journal Nature.

Typically, this type of non-line-of-sight (NLOS) capability is found in labs and relies on bulky, expensive research-grade hardware. But the team’s breakthrough makes it possible for consumer LiDAR sensors to peek behind obstacles.

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