Sh*t

Researchers at Columbia University have developed modular robots that can adapt, repair, and even rebuild themselves using a concept called robot metabolism. 🤖 Instead of remaining fixed, these robots can detach, reconnect, and reorganize their own structure based on the task or environment. If one part is damaged, the system can replace or rearrange itself rather than stopping completely. This could reshape the future of disaster response, industrial automation, and even space exploration. The idea of robots that evolve instead of wear out is becoming more than science fiction. What real-world application do you think will benefit most from this technology? 🎥 Media: @Columbia ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.

Why aren't Football teams trying this technique to score easier goals.. Are they stupid?

No headphones… no sync button… vinyl… truly a master

The Aizawa Attractor. A simple equation, but beautiful chaotic pattern. [bityl.co/Nh9d]

AI Designed Antennas That Work But Defy Full Human Understanding AI systems are designing antennas and electromagnetic structures whose intricate geometries often resist straightforward human interpretation. These designs deliver superior performance in testing and real world use. Yet the precise reasons for their effectiveness remain partially opaque even to experts. The NASA ST5 Evolved Antenna One of the clearest examples is the X band antenna created for NASA’s Space Technology 5 mission. Engineers employed an evolutionary algorithm. This computational process mimics natural selection. It explored vast numbers of possible configurations on a supercomputer. The goal was to meet strict requirements for wide beamwidth, circular polarization, and impedance bandwidth on small spacecraft. The resulting antenna has a complex, organic looking wire structure. It resembles twisted shapes that human designers would rarely consider. Expert antenna engineers have noted that they would not have conceived such a form. Despite its unconventional appearance, the antenna met or exceeded mission requirements. It offered advantages in power efficiency, fabrication simplicity, and performance across elevation angles. It became one of the first computer evolved hardware objects flown in space. When mission parameters changed, the evolutionary system produced a revised design quickly. Testing in anechoic chambers confirmed it worked as needed. Paired evolved antennas achieved high efficiency. The underlying interactions of currents, fields, and resonances in this geometry are not fully explained by simple human derived principles. Researchers have used inverse design and neural networks to generate compact multi band antennas, filters, and related components for wireless chips. These AI produced structures frequently appear irregular or random. The designs are described as unintuitive and complex. Humans struggle to fully grasp why they outperform traditional versions in efficiency, bandwidth, and size. They enable functionalities that are difficult or impossible with manual methods. The process reduces design time dramatically. Yet the exact mechanisms behind their superior behavior often remain hard to distill into clear explanatory rules. Antenna performance arises from highly intricate interactions across geometries. Human engineers typically rely on symmetry, established patterns, and physical intuition built from experience. AI optimization lacks these biases. It uncovers subtle couplings, parasitic effects, or non obvious current paths purely through performance driven search in high dimensional spaces. The result is designs that function reliably when tested and deployed. Full mechanistic understanding, however, often lags. Engineers rely on simulation, measurement, and empirical validation rather than complete theoretical insight. This gap highlights a key aspect of AI generated technologies: functionality can precede full comprehension. These examples show clear practical benefits. Faster iteration, improved performance, and new capabilities benefit satellites, communications devices, radar, and sensing applications. For independent researchers and garage labs working on hardware, local AI, or custom systems, they demonstrate the value of hybrid approaches. Optimization explores possibilities while humans set constraints and perform validation. Challenges remain in domains needing high explainability. Advances in analysis tools continue to help. The central reality is that AI is producing antennas and related technologies that work effectively. Their inner workings stretch beyond current human intuition in important ways. This shifts focus toward responsible integration, testing, and collaboration between human insight and computational discovery.

This looks like a Disney movie where a 12 year old becomes president

5° Sélection eugéniste : pour la sécurité autour du ring, des soldats auraient été choisis uniquement sur des critères de "force, grandeur et beauté", une pratique qui devrait vous rappeler celle d'un petit moustachu allemand énervé il y a quelques décennies.

Americans after paying $300 billion to Iran to reopen the Strait of Hormuz which was never closed

Everything about this clip is brilliant.

🔥

We’re so weird.

AI, specifically machine learning, played a central role in discovering this 14-protein blood signature. Yet people who use AI creatively are regularly told to kill themselves on this platform. Strange world.

People always ask me “how do you develop taste?” And I say “go to the niche telephone museum and study the origin of buttons and don’t be a little bitch”

Même la flûte elle savait pas qu'elle pouvait faire ça 😱😱😱

Nice 👌🏼

Ah yes that famous “negotiation” where Japan unconditionally surrendered after two atom bombs and Hitler blew his brains out.

In America, a warehouse store. A fully roasted chicken costs five dollars, the raw chicken beside it costs seven, and I stood between them like a man between two truths. Golden. Hot. Seasoned. Spinning in glory under the lights, in a line of its brothers. Four dollars and ninety-nine cents. I checked the raw birds. Seven dollars. Pale. Cold. You must do everything yourself. This is not commerce. Commerce does not move backward. Somewhere in this building, mathematics lies defeated. I asked the man at the counter. "How is the cooked bird cheaper than the raw bird?" "Been five bucks forever. They keep it that way." "But the store loses." "Yep. On purpose." On purpose. I held my receipt with both hands. In my land, a lord who lowered the price of rice in a hard winter was remembered for generations. They built him a small shrine. This store does it every day, with chicken, and tells no one. A woman behind me grew tired of my reverence. "It's just a chicken, sir." It is not just a chicken. It is a wound the merchant takes on purpose, so that anyone, on any day, with five dollars, eats like a lord. The bird is the message. The price is the vow. I will confess: I bought two. I did not need two. The second was not hunger. It was gratitude, and it was delicious. Some prices are not prices. They are promises. I return every week now. I take one bird. I bow toward the deli, briefly, so as not to alarm the staff. They have begun nodding back. The vow holds. The bird turns. Five dollars. Long may it spin.

Read my lips 👄 Made in @ComfyUI and @AdobeAE with @Alibaba_Wan and @suno ✂️🤖