Sound of Earth's Flipping Magnetic Field Haunts Again From 780,000 Years Ago
Now a team containing some of those same scientists has sonified an even earlier flip, from epochs ago.
The resulting cacophony is an unnerving translation of geological data on the Matuyama-Brunhes reversal, a switching of the planet's magnetic poles that took place roughly 780,000 years ago.
Geophysicists Sanja Panovska and Ahmed Nasser Mahgoub from the Helmholtz Centre for Geosciences (GFZ) created a global model of Earth's magnetic field during the event, based on ancient magnetic data in sediments from drill cores around the world. This data was then visualized by Maximilian Arthus Schanner and sonified by Klaus Nielsen and Schanner.
Related:
Earth's magnetic field is generated by the roiling liquid metals deep beneath the crust. Extending tens to hundreds of kilometers into space, the field deflects atmosphere-stripping particles, keeping us all safe below.
The bombardment of solar radiation that leaks through during reversals raises levels of beryllium-10 in Earth's atmosphere, which in turn can be preserved in ice core samples. Measuring fluctuations in these isotopes then serves as a handy measure of the field's weakening.
The data shows that when Earth's magnetic poles get restless, they don't just cleanly trade places, but stagger about in slow motion, splitting into blobs and drunkenly merging.
The resulting random bubbling of numerous magnetic polarities across the planet is aptly visualized in the animation.
Our early human ancestors, such as Homo erectus, lived through this event, which was thought to last up to 22,000 years (although this estimate is still debated).
It's likely there were some kinds of consequences to our ancient relatives and other life on Earth at the time, since the magnetosphere protects us from cosmic and solar radiation. Other magnetic field wanderings have been linked to dramatic changes in climate.
But the exact consequences from almost 800,000 years ago remain unclear, as anthropological records around this time are sparse.
Boldly etched into the flow of solidifying lava across Earth, the Matuyama-Brunhes event is used by geologists as a marker of the beginning of the Middle Pleistocene. In sound form, it's a haunting song that set the stage for the emergence of modern humans.
Extreme Conditions of Early Universe Recreated in Collider Experiment
Dark Matter Search Could Lead Us to a New Kind of Star
3D Time Could Solve Physics' Biggest Problem, Says Bizarre New Study
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


CNN
2 hours ago
- CNN
One Small Step for Man, One Giant Leap for Timekeeping
Time ticks differently on the Moon. 56 years after the Apollo 11 landing, CNN's Boris Sanchez explores how NASA and its partners are developing a new way to measure time in space.


Atlantic
2 hours ago
- Atlantic
Six Films Better Than the Books They're Based On
This is an edition of The Atlantic Daily, a newsletter that guides you through the biggest stories of the day, helps you discover new ideas, and recommends the best in culture. Sign up for it here. Welcome back to The Daily's Sunday culture edition. Announcements of yet another book-to-film adaptation are usually met with groans by fans of the source material. But sometimes a new movie can be a chance to lift the best elements of a story. We asked The Atlantic 's writers and editors: What's a film adaptation that's better than the book? Jurassic Park (streaming on Peacock) I am not saying that the Michael Crichton novel Jurassic Park isn't great, because it is. The folly of man, the chaos of progress, the forking around, the finding out, the dinosaurs—God, the dinosaurs. But in 1993, Steven Spielberg took this promising genetic code, selected the fittest elements, spliced them with Hitchcock, and adapted them to the cool dark of the multiplex. The result is not just a great movie. It is a perfect movie. The story is tighter; the characters are given foils, mirrors, and stronger arcs. On the page, Dr. Alan Grant is a widower and the paleobotanist Ellie Sattler his student; Dr. Ian Malcolm, chaos mathematician, is a balding know-it-all. On the screen, our dear Dr. Sattler feasts on Dr. Grant's restrained, tonic masculinity and Dr. Malcolm's camp erotic magnetism (as do we). The dialogue is punchier too. 'You're alive when they start to eat you,' 'Woman inherits the Earth,' 'Clever girl,' 'Hold on to your butts'—none of that poetry appears in the paperback. Spielberg and his crew used CGI techniques to make the inhabitants of Isla Nublar come to life, but the real magic came from practical effects, including a 9,000-pound, bus-size animatronic T. rex. This ferocious predator deserves to live on-screen, chomping on velociraptors and snatching a lawyer off of the toilet. Thirty years later, I am still not sure man deserves to watch. — Annie Lowrey, staff writer The Talented Mr. Ripley (streaming on Paramount+ and the Criterion Channel) Patricia Highsmith wrote eminently filmable novels, none more so than her oft-adapted The Talented Mr. Ripley. The 1999 movie is the most famous and successful take, transforming the source material into a faster-paced and more suspenseful version of the story. The novel's crime-to-punishment ratio is Dostoyevskian; for each misdeed Tom Ripley commits, he spends twice as long regretting it or worrying that he'll get caught. Anthony Minghella's adaptation diverges from this claustrophobic narration and limits viewers' access into Ripley's mind, making his deceitful and violent actions all the more unexpected. The final scenes contain the largest plot deviation—a shocking twist that manages to both show Ripley at his worst and invite sympathy for him. The film also clarifies his tortured sexuality, an element of his character that remains more ambiguous in the novel. What Highsmith hints at, Minghella more boldly asks: When someone is already ostracized, even criminalized, by society, what's to stop him from taking the leap into actual depravity? — Dan Goff, copy editor Tinker Tailor Soldier Spy (available to rent on YouTube and Prime Video) I'm going to make some people mad, but the 2011 adaptation of John le Carré's Tinker Tailor Soldier Spy is even better than the superb novel. It's a rare instance of a spy movie that transcends genre and stands on its own. Gary Oldman's portrayal of the intelligence officer George Smiley is one of the great performances of the 21st century—and it probably paved the way for Oldman to eventually play Jackson Lamb in the addictive Slow Horses series, also an adaptation. The treatment of the field agent Ricki Tarr (played by Tom Hardy) is both more intense and to the point than in the novel. The scenery—the shots of Budapest alone—brings le Carré's writing to life in a way that few adaptations ever do. And the film has easily one of the most gripping, poignant, and creative final scenes I've ever seen. (Julio Iglesias's rendition of 'La Mer' is on my dinner-party playlist. If you know, you know.) — Shane Harris, staff writer The Devil Wears Prada (streaming on Disney+) At first glance, the 2006 film The Devil Wears Prada seems to make only cosmetic changes to Lauren Weisberger's fizzy novel about a young woman trying to break into New York's publishing industry. In the movie, the protagonist, Andy, is a graduate of Northwestern, instead of Brown. Her boyfriend is a chef, not a teacher. And Miranda Priestly, the imposing editor of a fashion magazine—a thinly veiled version of Anna Wintour—who hires Andy as an assistant, isn't always seen wearing a white Hermès scarf. But the movie's sharp screenplay by Aline Brosh McKenna elevated the material past its breezy, chick-lit-y origins. Anchored by a top-notch cast (Anne Hathaway as Andy, Meryl Streep as Miranda, and a breakout Emily Blunt as Andy's workplace rival), the film is the rare rom-com focused more on professional relationships than romantic ones: between mentors and mentees, bosses and employees, colleagues and competitors. Even amid its glossy setting, The Devil Wears Prada captured the reality of work, showing how finding career fulfillment can be a blessing and a curse. For me, the film is a modern classic, endlessly rewatchable for its insights—and, of course, its fashion. I certainly have never looked at the color cerulean the same way again. — Shirley Li, staff writer The Social Network (available to rent on Prime Video and YouTube) Did Mark Zuckerberg's girlfriend really break up with him by calling him an asshole in the middle of a date? Did he actually spend the moments after a disastrous legal deposition refreshing a Facebook page, again and again, to see if she'd accepted his friend request? Well, probably not—Erica Albright, Rooney Mara's character in David Fincher's film The Social Network, is admittedly fictional. But her opening scene establishes Fincher's version of Mark Zuckerberg as a smug, patronizing jerk who can't imagine other people's feelings being as important as his own, and sets the movie off at a furious, thrilling pace that doesn't slow until the very end, when Mark has alienated everyone who once cared about him. The Social Network is a biopic that doesn't hold itself to facts, to its absolute advantage. Ironically, this approach elevates the nonfiction book it's based on, Ben Mezrich's The Accidental Billionaires, which was written without even an interview with Zuckerberg and panned as shoddily reported. (In a New York Times review, Janet Maslin wrote that Mezrich's 'working method' seemed to be 'wild guessing.') The truth doesn't matter as much as telling a good story—as long as you keep control of the narrative, which Fincher's Mark struggles to do. — Emma Sarappo, senior associate editor Clear and Present Danger (streaming on MGM+) Clear and Present Danger the book is the size, shape, and weight of a brick; Phillip Noyce's bureaucratic thriller slims Tom Clancy's nearly 1,000 pages into a svelte 141 minutes (though movies could always be shorter). The action takes place on the sea, in the jungle, at a drug lord's mansion, and in the streets of Bogotá—the latter setting the scene for an ambush sequence so memorable that the Jack Ryan series restaged it. But the film is most gripping in hallways and offices, culminating in Henry Czerny and Harrison Ford brandishing dueling memos at each other like light sabers. ('You broke the law!') And although the character of Jack Ryan can sometimes blur into a cipher in Clancy's novels, Ford embodies him with a Beltway Dad gravitas—never more so than when he announces to the lawbreaking president of the United States, 'It is my duty to report this matter to the Senate Oversight Committee!' Such a Boy Scout. Here are three Sunday reads from The Atlantic: The Week Ahead The Fantastic Four: First Steps, a Marvel movie about a group of superheroes who face off with Galactus and Silver Surfer (in theaters Friday) Veronica Electronica, a new remix album by Madonna (out Friday) Girl, 1983, a novel by Linn Ullmann about the power of forgetting (out Tuesday) Essay What Pixar Should Learn From Its Elio Disaster By David Sims Early last year, Pixar appeared to be on the brink of an existential crisis. The coronavirus pandemic had thrown the business of kids' movies into particular turmoil: Many theatrical features were pushed to streaming, and their success on those platforms left studios wondering whether the appeal of at-home convenience would be impossible to reverse … Discussing the studio's next film, Inside Out 2, the company's chief creative officer, Pete Docter, acknowledged the concerns: 'If this doesn't do well at the theater, I think it just means we're going to have to think even more radically about how we run our business.' He had nothing to worry about: Inside Out 2 was a financial sensation —by far the biggest hit of 2024. Yet here we are, one year later, and the question is bubbling back up: Is Pixar cooked? More in Culture Romance on-screen has never been colder. Maybe that's just truthful. Sexting with Gemini Dear James: 'My ex and I were horrible to each other.' Let your kid climb that tree. The reality show that captures Gen Z dating Catch Up on The Atlantic Photo Album Take a look at these photos of the week, which show a trust jump in Iraq, a homemade-submarine debut in China, and more. When you buy a book using a link in this newsletter, we receive a commission. Thank you for supporting The Atlantic.


Forbes
7 hours ago
- Forbes
Why ProSocial AI Is ProPlanetary AI. A Promise For Planetary Harmony
Green lungs of planet Earth. 3d rendering of a clean lake in a shape of lungs in the middle of ... More virgin forest. Concept of nature and rainforest protection, nature breathing and natural co2 reduction. We have come to a remarkable moment in human history. On one side, artificial intelligence promises to revolutionize how we understand and interact among each other and with our environment. On the other, we face what scientists call the "Great Acceleration", a period where human activity has pushed six of nine planetary boundaries beyond safe limits, including climate change, biodiversity loss and biogeochemical flows, threatening the very foundations of life on Earth. But what if these two realities aren't opposing forces? What if AI, guided by the right human intentions, could help us write a new chapter where technology and nature exist in harmony rather than conflict? The Planetary Health Imperative A recent commentary in The Lancet makes a compelling case for connecting planetary boundaries with planetary health, the understanding that human wellbeing depends entirely on Earth's natural systems. The authors argue that destabilizing our planet's life-support systems fundamentally threatens human health in ways we're only beginning to understand, with health impacts occurring even before planetary boundaries are transgressed. Four cornerstones are proposed for integration: recognizing that Earth system destabilization threatens human health, centering justice for vulnerable populations, accounting for true costs and benefits of environmental policies, and developing integrated science communication to build broader support for change. Critically, each planetary boundary requires comprehensive health risk assessment, something that demands permanent platforms for transdisciplinary collaboration between Earth system scientists, health researchers and affected communities. Consider the interconnected web, much like the World Wide Web itself, where each strand is linked to another: climate change affects food security, which influences migration patterns, and in turn, impacts mental health and social stability. Novel chemicals alter hormone systems, while biodiversity loss weakens nature's ability to regulate diseases. Ocean acidification threatens protein sources for billions. Each boundary crossed sends a ripple through this vast, complex system, much like how a single change on one webpage can ripple across the entire internet. Within this reality lies an opportunity. The very systems thinking that allows us to trace these connections also points toward solutions. This is where AI's potential becomes truly interesting — it functions as the network's protocol, capable of navigating and optimizing these connections, finding solutions faster and more efficiently – and helping us restore balance to the web that sustains us. Minds Behind Machines The neuralgic feature is that AI is not neutral. It amplifies human values, priorities and ways of thinking. If humankind continues to allow the approach to AI development to be dominated by extractive mindsets, viewing nature as a resource to be optimized and controlled, we'll create systems that perpetuate our current trajectory toward planetary collapse. But if we can find the way to make a conscious effort to ground AI development in what Indigenous wisdom has long understood; that human and planetary health are inseparable, we open possibilities for genuinely transformative technology. This shift requires what the Lancet commentary calls "overcoming the root causes of the intertwined environmental, health, and justice crises" by "changing the mindsets that created them and embracing the interconnectedness of all people and nature." AI As Nature's Ally Imagine AI systems designed with this ecological wisdom at their core. Instead of maximizing short-term profits, they could optimize for long-term planetary health. Instead of treating symptoms, they could address root causes of environmental degradation. We're already seeing glimpses of this potential. AI is helping restore degraded ecosystems by analyzing satellite imagery to identify optimal reforestation sites. It's revolutionizing agriculture by enabling precision farming that uses fewer resources while maintaining yields. Climate models powered by machine learning are providing surprising insights into Earth system dynamics. But the real transformation can happen only when we scale this thinking and recognize the co-benefits that emerge when we align technology with planetary health. The Lancet commentary emphasizes that policies to mitigate Earth system destabilization often have immediate and long-term health benefits, making them more compelling and cost-efficient. Picture AI systems that can: The Shadow Side We Cannot Ignore Still – we must also confront the paradox of using AI to support planetary health: AI's current trajectory is accelerating the very problems it could help solve. Data centers accounted for roughly 1.5% of global electricity consumption in 2024, and this amount is expected to double by 2030 because of AI use. The numbers are staggering. AI-specific servers in data centers are estimated to have used between 53 and 76 terawatt-hours of electricity in 2024, enough to power more than 7.2 million US homes for a year. Water consumption is equally concerning: Google's water consumption jumped 20% in 2024, while data centers in the United States use about 7,100 liters of water for each megawatt-hour of energy they consume – that's enough to run 70 loads of laundry in an average washing machine The land footprint is expanding rapidly too. Companies have leased nearly 3 gigawatts of data-center capacity in North America in the first half of 2024, which is up from 1.4 gigawatts in the first half of 2023. Combined investments from Microsoft, Amazon, Google, Meta, and Apple alone will exceed $450 billion in 2025. Types of energy production that had been discontinued in many places, from coal to nuclear energy are being brought back to satisfy the gigantic energy appetite of our growing artificial treasure chest. This isn't sustainable. If we continue on this path, AI will become a major driver of environmental degradation rather than a solution to it. And here we have answers already. We urgently need to steer AI development deliberately, not only toward efficiency but people and planet-oriented responsibility. This means investing in renewable energy to power data centers, building AI models that require less energy and water, and enforcing stricter corporate environmental performance standards that preserve livelihoods and ecosystems. ProSocial AI is proplanetary AI and vice-versa. But none of this will happen without serious governance reforms. Governments, regulators, and international bodies must step in to set clear environmental limits on AI development and hold tech companies accountable. With the right rules and incentives in place, AI can reduce its own footprint while accelerating solutions for planetary health—instead of becoming a driver of further harm. The Justice Imperative Justice is central to the planetary health approach. Environmental changes impact everyone, but they disproportionately weigh on future generations, Indigenous peoples and already marginalized communities. Differently put – those who contributed least to the problems are the ones who bear the biggest burden. It is time to address this lack of justice – and absence of logic. The same lack of fairness applies to AI development. We cannot create prosocial AI – AI systems that are tailored, trained, tested and targeted to bring out the best in and for people and planet, without including the voices and needs of those most affected by both environmental degradation and technological change. This means involving diverse communities in AI governance, ensuring equitable access to AI benefits and designing systems that strengthen rather than undermine local autonomy and traditional knowledge. A Planetary Framework For Transformation Moving forward requires a holistic understanding of humanity's relationship with nature, and the planet. It is time for a large-scale approach to cultivate individual and institutional understanding of what's at stake – and mobilize action. In this endeavor we also need a new narrative that positions AI not as humanity's replacement but as our partner in planetary healing. The path forward can be summarized in the acronym PLANET: Prioritize regenerative design, Build AI systems that restore rather than deplete natural systems, starting with dramatically reducing the energy and resource footprint of AI infrastructure itself. Lead with justice, Center equity and community voice in AI development, ensuring that technological solutions strengthen rather than undermine local autonomy and traditional knowledge. Align with nature's wisdom, Design AI systems that mimic natural processes: circular, adaptive, resilient, and focused on long-term stability rather than short-term optimization. Navigate complexity, Use AI's pattern recognition capabilities to understand and work with Earth's interconnected systems rather than trying to control them. Engage communities, Make AI development a participatory process that includes diverse voices, especially those most affected by environmental and technological change. Transform systems, Use AI to enable fundamental shifts in how we organize food, energy, transportation and economic systems around planetary health principles. The Triple Promise Of Prosocial AI We stand at a threshold where AI could become humanity's most loyal ally in planetary healing, but only if we understand what "prosocial AI" truly means. It's not just about making AI more helpful or ethical. It's about creating technology that is simultaneously pro-people, pro-planet, and pro-potential. Pro-people means AI that strengthens communities rather than displacing them, that amplifies human wisdom rather than replacing it, and that ensures the benefits of technological advancement flow to those who need them most, not just those who can afford them. Pro-planet means AI systems designed within ecological limits, that regenerate rather than degrade natural systems, and that treat Earth's boundaries not as constraints to overcome but as the fundamental parameters for sustainable innovation. Pro-potential means AI that unlocks humanity's capacity for collective intelligence, creativity, and cooperation — helping us imagine and build futures we couldn't create alone. A commitment to prosocial AI could awaken our collective potential as Earth's conscious participants rather than its unconscious destroyers. A Regenerative Future Awaits Imagine waking up fifty years from now in a world where AI has helped deliver the greatest regeneration in human history. Cities breathe like forests. Oceans teem with life. The climate has stabilized. Communities thrive in diversity and dignity. Technology serves life, not the other way around. This isn't utopian fantasy — it's entirely possible with the tools we have today, guided by the wisdom we've always had. The question isn't whether we can build this future, but whether we'll choose to. Every line of code written, every algorithm trained, every AI system deployed is a vote for the kind of world we want to create. We can continue down the path of extraction and acceleration, or we can choose regeneration and wisdom. The Earth is waiting. The technology is ready. The only question left is: are we? The future isn't something that happens to us — it's something we co-create, one choice after another. And right now, we have the chance to get it right. Not just for the planet. Not just for people. But for the boundless potential that emerges when technology and nature move together in planetary harmony.