Researchers have created a chip-based device that can split phonons—tiny packets of mechanical vibration that can carry information in quantum systems. By filling a key gap, this device could help connect various quantum devices via phonons, paving the way for advanced computing and secure quantum communication.
“Phonons can serve as on-chip quantum messages that connect very different quantum systems, enabling hybrid networks and new ways to process quantum information in a compact, scalable format,” said research team leader Simon Gröblacher from Delft University of Technology in the Netherlands.
“To build practical phononic circuits requires a full set of chip-based components that can generate, guide, split and detect individual quanta of vibrations. While sources and waveguides already exist, a compact splitter was still missing.”
The universe is approaching the midpoint of its 33-billion-year lifespan, a Cornell physicist calculates with new data from dark-energy observatories. After expanding to its peak size about 11 billion years from now, it will begin to contract – snapping back like a rubber band to a single point at the end.
Henry Tye, the Horace White Professor of Physics Emeritus in the College of Arts and Sciences, reached this conclusion after adding new data to a model involving the “cosmological constant” – a factor introduced more than a century ago by Albert Einstein and used by cosmologists in recent years to predict the future of our universe.
“For the last 20 years, people believed that the cosmological constant is positive, and the universe will expand forever,” Tye said. “The new data seem to indicate that the cosmological constant is negative, and that the universe will end in a big crunch.”
Enterprise software giant Red Hat is now being extorted by the ShinyHunters gang, with samples of stolen customer engagement reports (CERs) leaked on their data leak site.
News of the Red Hat data breach broke last week when a hacking group known as the Crimson Collective claimed to have stolen nearly 570GB of compressed data across 28,000 internal development repositories.
This data allegedly includes approximately 800 Customer Engagement Reports (CERs), which can contain sensitive information about a customer’s network, infrastructure, and platforms.
A cybercrime group, tracked as Storm-1175, has been actively exploiting a maximum severity GoAnywhere MFT vulnerability in Medusa ransomware attacks for nearly a month.
Tracked as CVE-2025–10035, this security flaw impacts Fortra’s web-based secure transfer GoAnywhere MFT tool, caused by a deserialization of untrusted data weakness in the License Servlet. This vulnerability can be exploited remotely in low-complexity attacks that don’t require user interaction.
Security analysts at the Shadowserver Foundation are now monitoring over 500 GoAnywhere MFT instances exposed online, although it’s unclear how many have already been patched.
Microsoft is investigating a bug that causes Copilot issues when multiple Office apps are running simultaneously on the same system.
According to a support document published on Friday, this bug impacts Microsoft 365 customers who launch Excel, Word, PowerPoint, OneNote, Publisher, and Access on the same system.
The issue is triggered when one Office application, such as Excel, has already initiated a WebView2 instance, while another app, like Word, attempts to start a second instance.
WARNING: AI could end humanity, and we’re completely unprepared. Dr. Roman Yampolskiy reveals how AI will take 99% of jobs, why Sam Altman is ignoring safety, and how we’re heading toward global collapse…or even World War III.
Dr. Roman Yampolskiy is a leading voice in AI safety and a Professor of Computer Science and Engineering. He coined the term “AI safety” in 2010 and has published over 100 papers on the dangers of AI. He is also the author of books such as, ‘Considerations on the AI Endgame: Ethics, Risks and Computational Frameworks’
He explains: ⬛How AI could release a deadly virus. ⬛Why these 5 jobs might be the only ones left. ⬛How superintelligence will dominate humans. ⬛Why ‘superintelligence’ could trigger a global collapse by 2027 ⬛How AI could be worse than nuclear weapons. ⬛Why we’re almost certainly living in a simulation.
00:00 Intro. 02:28 How to Stop AI From Killing Everyone. 04:35 What’s the Probability Something Goes Wrong? 04:57 How Long Have You Been Working on AI Safety? 08:15 What Is AI? 09:54 Prediction for 2027 11:38 What Jobs Will Actually Exist? 14:27 Can AI Really Take All Jobs? 18:49 What Happens When All Jobs Are Taken? 20:32 Is There a Good Argument Against AI Replacing Humans? 22:04 Prediction for 2030 23:58 What Happens by 2045? 25:37 Will We Just Find New Careers and Ways to Live? 28:51 Is Anything More Important Than AI Safety Right Now? 30:07 Can’t We Just Unplug It? 31:32 Do We Just Go With It? 37:20 What Is Most Likely to Cause Human Extinction? 39:45 No One Knows What’s Going On Inside AI 41:30 Ads. 42:32 Thoughts on OpenAI and Sam Altman. 46:24 What Will the World Look Like in 2100? 46:56 What Can Be Done About the AI Doom Narrative? 53:55 Should People Be Protesting? 56:10 Are We Living in a Simulation? 1:01:45 How Certain Are You We’re in a Simulation? 1:07:45 Can We Live Forever? 1:12:20 Bitcoin. 1:14:03 What Should I Do Differently After This Conversation? 1:15:07 Are You Religious? 1:17:11 Do These Conversations Make People Feel Good? 1:20:10 What Do Your Strongest Critics Say? 1:21:36 Closing Statements. 1:22:08 If You Had One Button, What Would You Pick? 1:23:36 Are We Moving Toward Mass Unemployment? 1:24:37 Most Important Characteristics.
New artificial intelligence-generated images that appear to be one thing, but something else entirely when rotated, are helping scientists test the human mind.
The work by Johns Hopkins University perception researchers addresses a longstanding need for uniform stimuli to rigorously study how people mentally process visual information.
“These images are really important because we can use them to study all sorts of effects that scientists previously thought were nearly impossible to study in isolation—everything from size to animacy to emotion,” said first author Tal Boger, a Ph.D. student studying visual perception.