Toggle light / dark theme

Check your ingredients’: A new blueprint for using Fermi’s ‘Golden Rule

Underpinning much of modern technology, from smartphones to scanning tunneling microscopes to particle colliders, is Fermi’s Golden Rule. Named for 20th-century Italian American physicist Enrico Fermi (but actually discovered by British physicist Paul Dirac), the rule is a formula that connects what can be measured in an experiment—such as how fast atoms “jump” between energy states—to the microscopic properties of a quantum mechanical system. The formula is taught in every undergraduate quantum physics class.

Yet scientists sometimes misapply it. They either misjudge the conditions under which the formula works, or they miss the “window” for its use. A “user manual” for Fermi’s Golden Rule would be a boon to researchers, says Yale physicist Nir Navon—and now he and his lab partners have provided one.

“We put one of the most famous formulas in all of quantum mechanics to the test, and found where it works and where it fails, including ways that many physicists weren’t fully aware of,” said Navon, an associate professor of physics in Yale’s Faculty of Arts and Sciences and senior author of a new study published in the journal Nature Physics. “We’re telling everyone who uses it to take a breath first and check their ingredients.”

Imagination is not escapism, it brings us closer to reality

Einstein called imagination “more important than knowledge,” yet we increasingly treat it as a childhood pastime we outgrow. Philosopher of mind Amy Kind argues that it’s something far more practical: the skill we draw on to make our hardest decisions, read the people around us, and work out who we want to become. Like any skill, it weakens without use — and we’re using it less. Reading for pleasure has nearly halved in two decades, fewer parents play with their children each day, and we increasingly hand our creative work to machines. If we don’t make time to exercise it, we’ll lose the capacity to conceive of things being other than they are, and risk being trapped in the present, unable to imagine a different future, let alone build one.

In recent years, amidst the hustle and bustle of contemporary life, people are devoting considerably less time to imaginative activities. Significantly fewer people are reading for pleasure today compared to 20 years ago, and in just the last decade, significantly fewer parents are making time to play with their children on a daily basis than used to be the case.

This neglect of imagination has been accelerated by the increasing reliance on generative AI tools in both personal contexts and professional contexts. In one recent survey, more than 50% of adults reported interacting with AI tool at least several times a week for personal purposes, often for learning, entertainment, or supporting their children’s education. In another study on business uses of AI, more than half of firms surveyed reported using AI in the creation of new products and services and, more generally, in their at innovation projects. With each passing day, we seem to be increasingly more willing—and perhaps even eager—to outsource our creative and imaginative efforts to machines.

Programmable metasurface generates dozens of holograms at once

Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or two-dimensional (2D) images produced by precisely controlling the shape and direction of traveling light waves. Holograms are now widely used to produce visual representations of objects and to measure their physical properties, authenticate documents or bank cards, and serve as visualization tools in some educational settings.

While the quality of the holograms that can be produced has improved significantly in recent years, most existing technologies can generate only one hologram at a time. To simultaneously generate several independent holograms, one would need to increase a device’s so-called holographic channels (i.e., separate streams of independently controlled holograms), which tends to reduce the quality of the produced images or the speed at which they can be refreshed.

Researchers at Southeast University in China recently developed a new programmable metasurface, an engineered ultrathin material that can manipulate waves in unique ways, which reliably generates dozens of holograms at once. This metasurface, introduced in a paper published in Nature Electronics, consists of 6,000 elements that can be individually controlled, both in terms of their spatial arrangement and how they change over time.

Tell Musk this is true human’s future

How will humanity power its interplanetary future?
In this cinematic documentary, we journey to the year 2,325, where humanity has finally achieved Type I civilization status. We explore the colossal engineering feats required to harvest the Sun’s energy from Mercury and beam it across the entire solar system.

▶A Film by: Scienshell.

In a universe where energy is the currency of survival, the diffused sunlight that has bathed our solar system for 5 billion years is no longer enough. To fuel a true interplanetary empire, humanity must harvest, concentrate, and transmit the immense power of our star. But harnessing such staggering amounts of energy requires pushing the absolute limits of physics and engineering.

As our energy needs grow, the line between theoretical physics and applied engineering begins to blur. For those who build the infrastructure of tomorrow, the solar system itself becomes a machine.

In this video, you’ll discover:
[00:00] Introduction.
[01:29] 2325: The Dawn of a Type I Civilization.
[02:15] Mining Mercury and the Solar Ring Construction.
[06:24] Photons: The Perfect Interplanetary Energy Carriers.
[08:12] The Beating Heart of the Energy Grid.
[11:02] Precursor Beams and Cosmic No-Fly Zones.
[13:01] The Danger of Runaway Gamma Beams.
[15:12] The Gamma Cascade: Converting Destructive Energy.
[17:34] Powering an Interplanetary Civilization.

▶ About This Video.

AI in 10 Years | The Shocking Predictions We Ignore

Artificial intelligence is advancing faster than most people realize — and the next 10 years may reshape civilization more than the last 100.
AI in 10 Years: The Shocking Predictions We Ignore explores where artificial intelligence is heading, why many warnings are being overlooked, and how the coming decade could redefine work, power, and human identity.

From rapid breakthroughs in machine intelligence to the accelerating path toward Artificial General Intelligence (AGI), this documentary breaks down realistic predictions that experts are already discussing — but society is not prepared for.

In this film, we explore:
• Where artificial intelligence could be in 10 years.
• The most shocking AI predictions experts are warning about.
• How AI could transform jobs, economies, and global power.
• The rise of autonomous and decision-making systems.
• Ethical risks and loss of human control.
• What the future of humanity may look like in an AI-driven world.

This is not speculation or science fiction.
These are real trends already unfolding — and the consequences may arrive sooner than expected.

If you want to understand the future of artificial intelligence, the AI revolution ahead, and what the next decade may bring for human civilization, this documentary is for you.

🔔 Subscribe for weekly documentaries about AI, AGI, super intelligence, and the technologies shaping the future of humanity.

Scientists Visualize the Complex, Dynamic World Inside a Human Cell

The interactive image was created for Cell Signaling Technology, Inc., and was inspired by the work of David Goodsell, a professor of computational biology at Scripps Research Institute, who is widely recognized for his vibrant watercolor paintings of cells and viruses. Alongside some artistic interpretation, portions of the image were digitally rendered using datasets gathered through scientific methods.

“This 3D rendering of a eukaryotic cell is modeled using X-ray, nuclear magnetic resonance (NMR), and cryo-electron microscopy datasets for all of its molecular actors,” explains McGill. “It is an attempt to recapitulate the myriad pathways involved in signal transduction, protein synthesis, endocytosis, vesicular transport, cell-cell adhesion, apoptosis, and other processes.”

Although some online are calling it “the most detailed image of a human cell ever captured” Evan Ingersoll and Gael McGill emphasize that it’s really an educational tool. Elements of the cell have been simplified, and in some cases “squashed together,” to help viewers better understand what happens inside it.

Quantum Paradoxes: 5 Ways to Test the Multiverse | Maria Violaris

Can we actually test whether the multiverse is real? Not just philosophicallybut scientifically?

Quantum physicist Maria Violaris presents five remarkable experiments, from Schrödinger’s cat to Google’s Willow quantum chip, that put the multiverse to the test. Along the way, she untangles two of the strangest phenomena in all of physics — quantum measurement and entanglement — and reveals how a thought experiment designed to test the multiverse in 1985 accidentally launched today’s billion-dollar quantum computing race.

Maria also shares a puzzling thought experiment of her own that overturns a long-held assumption: that you can never communicate across branches of the multiverse.

Join this channel to get access to Maria’s exclusive Member’s Only Q&A:
/ @theroyalinstitution.

Subscribe for regular science videos: http://bit.ly/RiSubscRibe.

Maria Violaris is a quantum physicist and prize-winning science communicator with a PhD in the foundations of quantum information from the University of Oxford. She works on quantum theory research at Oxford Quantum Circuits, runs a YouTube channel and the Quantum Foundations Podcast, and pioneered the use of quantum thought experiments for quantum computing education through her Quantum Paradoxes series at IBM Quantum.

Michael D. West

Can aging be reversed? Dr. Michael West explains telomerase, cellular immortality, stem cells, tissue regeneration, and the future of longevity.

LifeCraft Sciences:
https://lifecraftsciences.com/

In this episode, I sit down with pioneering molecular gerontologist and biotechnology entrepreneur Dr. Michael D. West to explore telomeres, telomerase, cellular senescence, stem cells, tissue regeneration, and the possibility of reversing biological aging.

One of our central topics is the groundbreaking telomerase program West founded and led at Geron. That research helped establish how restoring telomerase activity can protect the ends of chromosomes and allow normal human cells to move beyond their usual replicative limit while retaining youthful characteristics in laboratory culture. We unpack what scientists mean when they say a cell has been “immortalized,” why cellular immortality is very different from making a person immortal, and how telomerase connects the biology of aging with the biology of cancer.

We also explore West’s work in regenerative medicine and his early vision of pluripotent stem cells as a “parts supply store” for the human body. Could youthful cells eventually be used to repair damaged tissues, replace worn-out biological components, and restore regenerative capabilities lost with age? West discusses the early isolation of human embryonic stem cells, therapeutic cloning, developmental reprogramming, and what cloned animals taught researchers about resetting cellular age.

Finally, we discuss LifeCraft Sciences and RESTORE, the company’s experimental approach combining telomerase with developmental regulators to return aged cells to a more youthful, regenerative state. It is a fascinating conversation about the history of longevity science, the future of tissue repair, and one of biology’s biggest questions: can aging eventually be reversed rather than merely slowed?

Quantum Computers Just Solved What AI Couldn’t — Here’s Proof

Artificial intelligence has achieved remarkable breakthroughs in recent years, from generating human-like text and images to solving complex scientific and engineering problems. Yet some challenges remain extraordinarily difficult even for the most advanced AI systems. This has fueled growing interest in quantum computing, a technology that processes information in fundamentally different ways from classical computers. Researchers are now exploring whether quantum algorithms can tackle certain optimization, simulation, and computational problems that push conventional AI systems to their limits. Recent experiments and research papers have generated excitement by demonstrating situations where quantum approaches may offer unique advantages, reigniting debate about how these two revolutionary technologies could work together in the future.

Rather than viewing quantum computing and AI as competitors, many experts believe they could become powerful partners. Quantum processors may eventually help accelerate specific machine learning tasks, improve complex simulations, and solve optimization problems that are critical to industries such as logistics, finance, materials science, and drug discovery. At the same time, scientists caution that practical large-scale quantum computing remains an active area of research, and many headline-grabbing claims require careful scrutiny and independent verification. Even so, the rapid progress in both fields suggests that the future of computing may be shaped not by AI alone, but by a combination of artificial intelligence and quantum technologies working together to tackle problems once thought impossible.

Disclaimer.

This video is intended for educational and informational purposes only. Quantum computing and artificial intelligence are rapidly evolving fields, and interpretations of research findings may change as new evidence becomes available. The content presented is based on publicly available studies, expert analysis, and current technological developments.

Like \& Subscribe.

If you enjoyed this video, please Like, Share, and Subscribe for more quantum computing news, AI breakthroughs, technology analysis, and future-tech insights.

Massimo (@Rainmaker1973) on X

Scientists have identified a reversal of the long-standing Flynn effect—the roughly 200-year trend of rising average intelligence (measured via IQ and cognitive tests) across generations. For the first time in modern recorded history, Generation Z (born roughly 1997–2012) shows lower performance than previous generations in key cognitive domains, including attention, memory, literacy, numeracy, executive function, problem-solving, and general IQ—despite spending more years in formal education than ever before. Neuroscientist and educator Dr. Jared Cooney Horvath, PhD, MEd, testified before the U.S. Senate Committee on Commerce, Science, and Transportation on January 15, 2026, highlighting this shift. In his written testimony, he stated that cognitive development in children across much of the developed world has stalled or reversed over the past two decades, with declines evident in international assessments (e.g., PISA, TIMSS) and other large-scale data starting around the mid-2000s and accelerating post-2010. Horvath attributes the primary driver not to reduced schooling, but to the widespread integration of digital screens and educational technology (EdTech) in classrooms. He argues that human brains evolved for deep, focused learning through face-to-face interaction and sustained attention, not fragmented skimming or constant task-switching encouraged by devices. Key points from his testimony include: — Teens now spend over half their waking hours on screens, with significant portions in school involving computers or tablets—often leading to off-task behavior and shallower processing. — Evidence from meta-analyses and national/international studies shows a consistent pattern: higher classroom screen exposure correlates with weaker outcomes in reading, math, science, and higher-order reasoning. — Digital tools may aid narrow, repetitive skill practice in controlled settings, but in core academic contexts, they tend to reduce depth of understanding, retention, and critical thinking. Horvath describes this as a “structural mismatch” between human cognition and how digital platforms are designed (to capture and fragment attention), warning that unchecked EdTech adoption risks long-term harm to workforce skills, innovation, and societal reasoning. [Horvath, J. C. (2026). Written testimony before the U.S. Senate Committee on Commerce, Science, and Transportation. U.S. Senate]

span: not(:empty)~span: not(:empty)]:before:content-[’·’] [&span: not(:empty)~span: not(:empty)]:before:px-1 [&span: not(:empty)~span: not(:empty)]:before:shrink-0 1:57 PM · Jun 19, 2026 203.9KViews

/* */