Scientists have demonstrated a powerful new way to search for one of physics’ biggest prizes: practical superconductors.
The one thing we all ‘know’ about black holes is that nothing escapes their ineluctable grasp.
That is mostly true – but since the 1970s, physicists have predicted that black holes could slowly lose energy in the form of thermal radiation.
This is Hawking radiation, and while it has been recreated in laboratory analogs, the mechanism whereby it siphons energy from a black hole, known as backreaction, has remained elusive.
Hawking radiation is a form of radiation emitted by black holes, as theoretically predicted by Stephen Hawking. It suggests that black holes do not merely swallow matter—as had previously been assumed—but also emit very faint radiation themselves. This radiation has not yet been observed in space; instead, researchers use models in the laboratory that mimic the behavior of black holes.
Although the effect of Hawking radiation is well known in astrophysics, the mechanism by which it arises in a gravitational context has not yet been fully elucidated. A scientist from Paderborn University along with an international team of researchers from the Weizmann Institute of Science in Israel and Cinvestav in Mexico is now shedding light on this mechanism using gravitational analogs in the laboratory.
The team has theoretically modeled the process by which Hawking radiation is generated in a nonlinear optical environment, identifying a simple, direct mechanism in the process. Furthermore, the team was able to observe in experiments that the radiation affects the system. The results have now been published in Nature.
A group of Russian scientists recently presented their research into the process of laser pulse filamentation—the effect produced when a laser beam propagating in air focuses into a filament. The researchers discovered how this process influences the preliminary transition of a beam passing through quartz glass, which has applications in the field of nonlinear optics.
Light propagates in straight lines, and beams of light are only reflected or refracted to the side when the properties of the medium it is passing through change. This is the basis of linear optics: it is called ‘linear’ because the division of electric charges that occurs when light passes through a medium is linearly dependent on the intensity of the fields in the light wave itself. In other words, the stronger the electric field, the more the different charges are dispersed within the material—the material becomes polarized.
The polarization of a material should not be confused with the polarization of light. This polarization is characterised by the degree to which the positive and negative charges are dispersed in a substance, and in this way, the presence of specific directions within the electromagnetic wave within which the electric fields vibrate is called polarization.
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Hello and welcome! My name is Anton and in this video, we will talk about the new explanation for what time actually is and a creation of a mini universe in the lab.
Links:
https://journals.aps.org/prresearch/p…
#time #physics #boseeinsteincondensate.
0:00 Experiment that changes how we think about time.
1:30 Measuring the mini universe.
2:05 What is Bose-Einstein Condensate?
3:00 Entropy?
3:50 The problem of time.
5:08 How this was tested.
6:05 Mini Big Bang and the simulation of time.
7:05 Results and what this means for the idea of time.
8:00 Strange observations.
9:05 Implications and conclusions.
Enjoy and please subscribe.
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Fourteen years ago, I sat down with Ryan Janzen, and his title said it all:
Jarring is What We Need.
Ryan is an engineer and a composer. He builds bridges between electrical #engineering, #physics, and #music. He also plays the hydraulophone, an instrument you sound by touching jets of water.
Think about that. Not strings. Not keys. Water.
Most people chase technology for its own sake. Ryan asked a harder question. Why are we building this? What is it for? He worried openly about careerism in both the arts and the sciences, about the quiet drift toward doing things simply because we can.
That worry has aged well. In an age of #AI abundance and endless capability, the scarce resource is not the How. It is the Why.
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In the 19th century, scientists came up with the idea of the “aether,” a medium that filled all of space and allowed forces to travel from one place to another. While this was famously proved wrong by the Michelson-Morley experiment, the idea of the aether made a comeback. The new aether is compatible with Einstein’s theories and could explain dark energy and maybe even dark matter. Let’s take a look.
Paper: https://journals.aps.org/prd/abstract… video comes with a quiz which you can take here: https://quizwithit.com/start_thequiz/.… 🤓 Check out my new quiz app ➜ http://quizwithit.com/ 💌 Support me on Donorbox ➜ https://donorbox.org/swtg 📝 Transcripts and written news on Substack ➜ https://sciencewtg.substack.com/ 👉 Transcript with links to references on Patreon ➜ / sabine 📩 Free weekly science newsletter ➜ https://sabinehossenfelder.com/newsle… 👂 Audio only podcast ➜ https://open.spotify.com/show/0MkNfXl… 🔗 Join this channel to get access to perks ➜
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What if intelligence doesn’t require a brain? Biologist Michael Levin argues that intelligence is not confined to neurons, but exists on a continuum of goal-directed behavior and problem-solving across a wide range of species and systems. Using a framework he calls the “cognitive light cone,” Levin explores diverse forms of intelligence extending all the way down to the cellular level. His research suggests that cells communicate through electrical networks, enabling them to make collective decisions and adapt to unexpected challenges, evidenced by engineered tadpoles capable of seeing through eyes located on their tails. Levin radically challenges the conventional wisdom even further, proposing that forms of intelligence may extend beyond biology to molecular systems and maybe even the weather.
00:00 What is intelligence?
01:03 The field of diverse intelligence.
01:33 Intelligence at the cellular level.
02:08 The cognitive light cone.
03:01 The intelligence of groups of cells.
03:52 The bioelectric language of cells.
04:20 The mind of the body.
04:23 Cells that solve problems.
05:17 The tadpole experiment.
06:25 The cognitive spectrum.
06:48 Can you train a hurricane?
07:03 A new science of intelligence.
07:28 Beyond human biases.
——–
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If you’ve been in tech circles lately, you’ve probably heard of “Vibecoding.” Most people treat it like an industry joke—lazy developers throwing sloppy prompts at a screen until an app magically pops out. To traditional gatekeepers, it looks like dangerous, uncompilable chaos.
The “vibe” isn’t a loose, careless emotion. It’s data. Specifically, it is the human-facing interface for what advanced computer science calls Intent Orchestration.
I just published a definitive deep dive into the actual math, physics, and mechanics under the hood of this movement. We break down exactly why the traditional “Filing Cabinet” architecture of multi-agent AI is fundamentally broken, and how Holographic AI Frameworks are the solution.
We are stepping into an era of Decentralized Coherence that liberates creators from traditional development bottlenecks, transforming your role from a low-level syntax translator into a High-Dimensional Intent Architect.
The era of manual syntax is drawing to a close. The computer has finally spent enough time engineering its systems to understand our language.
But make no mistake—if your structural thinking is sloppy, your application will still fail.
The quality of your thinking is the new syntax.
Google DeepMind just revealed what could come after AGI, and it may be far more powerful than most people realize. In its new paper “From AGI to ASI,” DeepMind explains why human-level AI may not be the finish line, but the starting point for artificial superintelligence. In this video, we break down what AGI and ASI really mean, why Shane Legg and Marcus Hutter’s involvement matters, and how DeepMind defines superintelligence as something that can outperform massive organizations of top human experts across nearly every domain. We also explore the four possible roads from AGI to ASI: scaling, new AI architectures, recursive self-improvement, and multi-agent AI collectives. One of the most shocking ideas is that you may not need an AI smarter than a human. 100 million human-level AI agents working together could already become something far beyond us. But even superintelligence has limits. Physics, computation, mathematics, uncertainty, data, energy, and regulation could all shape what happens next. Is AGI really the end goal, or just the beginning?
#GoogleDeepMind #AGI #ASI #ArtificialIntelligence #Superintelligence #AI