Researchers at the University of Oxford have made a groundbreaking advancement in quantum computing by developing a scalable quantum supercomputer capable of quantum teleportation. A key challenge in quantum computing has...
Researchers at the University of Oxford have made a groundbreaking advancement in quantum computing by developing a scalable quantum supercomputer capable of quantum teleportation.
A key challenge in quantum computing has long been scalability. While theoretical quantum computers have existed for decades, building large-scale, practical implementations has remained elusive.
Unlike classical computers that process information using binary bits (0s and 1s), quantum computers rely on qubits, which can exist in both states simultaneously due to superposition. This unique property enables quantum systems to perform calculations at speeds exponentially greater than traditional computers.
teleportation breakthrough
What sets this breakthrough apart is the teleportation of logical quantum gates—essential components of quantum algorithms—across a network. While quantum teleportation of data has been achieved before, this is the first instance where entire logical operations have been teleported, effectively linking separate quantum processors into a single, unified system.
Researchers suggest this technology could serve as a foundation for a future quantum internet, enabling ultra-secure communication, high-speed computation, and groundbreaking technological advancements.
“Our experiment demonstrates that network-distributed quantum information processing is feasible with current technology,” said Professor David Lucas, a lead scientist on the project.
The findings, published in Nature, mark a major leap toward scalable, fault-tolerant quantum computing—bringing us closer to a future where quantum machines revolutionize fields such as cryptography, artificial intelligence, and materials science.
Boom Supersonic’s XB-1 Demonstrator Breaks the Sound Barrier, Ushering in a New Era of Air Travel Boom Supersonic has reached a historic milestone with its XB-1 demonstrator plane successfully breaking the...
Boom Supersonic’s XB-1 Demonstrator Breaks the Sound Barrier, Ushering in a New Era of Air Travel
Boom Supersonic has reached a historic milestone with its XB-1 demonstrator plane successfully breaking the sound barrier over California’s Mojave Desert. This event marks the first instance a civil aircraft has gone supersonic since Concorde’s retirement in 2003, signifying a pivotal achievement in commercial aviation.
On its 12th test flight, the American startup’s aircraft surpassed Mach 1, maintaining supersonic speeds for about four minutes and reaching Mach 1.1. Test pilot Tristan Brandenburg further pushed the boundaries, breaking the sound barrier twice more before receiving clearance to return to the Mojave Air & Space Port.
This achievement comes eight years after Boom unveiled the XB-1, a scaled-down, one-third-size version of the company’s ultimate vision: the Overture, a 64-passenger supersonic airliner. Boom CEO Blake Scholl emphasized in a post on X that significant work remains before Overture takes to the skies, including its first engine ignition, which Boom aims to achieve later this year.
As Boom progresses with Overture’s development, major airlines like American Airlines and Japan Airlines have already placed orders, indicating strong industry interest in reviving supersonic travel.
Brandenburg safely landed the XB-1 shortly before noon ET, and Boom has suggested a second supersonic test flight could occur within the next two weeks. Scholl likened this accomplishment to SpaceX’s Falcon 1 moment, highlighting the significance of this breakthrough.
Unlike previous supersonic endeavors, which were mainly government-backed—such as the British and French Concorde collaboration—Boom’s success marks the first time a private startup has reached this milestone, underscoring the growing role of private enterprise in advancing aviation.
Speaking to TechCrunch’s Connie Loizos on the StrictlyVC Download podcast, Scholl emphasized the necessity for renewed entrepreneurship in commercial aviation. “We need more Booms,” he remarked, advocating for innovation and risk-taking in the sector.
While several companies are exploring supersonic technology, many focus on defense applications. Exosonic, one of the few commercial-focused competitors, ceased operations in November, positioning Boom as a leading player in developing a supersonic passenger aircraft.
Though Boom collaborates with the U.S. Air Force on some projects, Scholl reaffirmed that the company’s primary mission remains commercial supersonic travel. “This is about American jobs, American leadership in aviation, and enhancing human connectivity across cultures,” he stated.
With the XB-1’s successful supersonic flight, Boom has taken a substantial step towards making commercial supersonic travel a reality again. As the company continues testing and prepares for the next phase, the aviation world eagerly anticipates whether Boom can transform its ambitious vision into a groundbreaking reality.
In a recent study, mice treated with luteolin ”an antioxidant found in veggies like celery, broccoli, and onions ”kept their natural fur color, while untreated mice turned gray. The secret? Luteolin...
In a recent study, mice treated with luteolin ”an antioxidant found in veggies like celery, broccoli, and onions ”kept their natural fur color, while untreated mice turned gray.
The secret? Luteolin protects the pigment-producing cells that maintain hair color, halting graying without affecting hair growth.
Already available as a supplement, luteolin could soon power a new generation of anti-aging hair care products.
You might already know about microplastics in our oceans and food, but here’s a new twist: they’re accumulating in our brains, too. A recent study has revealed astonishing levels of microplastics...
You might already know about microplastics in our oceans and food, but here’s a new twist: they’re accumulating in our brains, too.
A recent study has revealed astonishing levels of microplastics in human brain tissue—ten times higher than in other organs. To put that into perspective, researchers equate the concentration to having about one plastic spoon’s worth of microplastics per gram of brain tissue.
The implications are particularly alarming for those with neurological conditions. Individuals diagnosed with dementia showed even higher concentrations of these tiny plastic particles, although the direct link between microplastics and dementia remains unclear. This connection raises more questions than answers, urging for further research to understand the potential health impacts.
Meanwhile, global plastic production isn’t slowing down; it’s ramping up, leading to an ever-increasing presence of plastics in our environment and, evidently, our bodies.
So, while the convenience of disposable cups might be tempting, consider this: each sip could be adding to the plastic already coursing through your bloodstream and settling in your brain. This isn’t just a call for better waste management; it’s a wake-up call for rethinking our daily plastic consumption.
New Findings Strengthen the Lab-Leak Hypothesis A recent investigation by the White Coat Waste Project (WCW) has uncovered new evidence linking U.S. government funding to Ben Hu, the Wuhan Institute of...
A recent investigation by the White Coat Waste Project (WCW) has uncovered new evidence linking U.S. government funding to Ben Hu, the Wuhan Institute of Virology (WIV) researcher now identified as “Patient Zero”—the first known person to fall ill with COVID-19.
Newly-leaked U.S. intelligence, combined with a Freedom of Information Act (FOIA) investigation led by WCW, suggests that Hu and his colleagues at the Wuhan Lab were working on dangerous gain-of-function research on coronaviruses—experiments that were partially funded by American taxpayers through grants from the National Institutes of Allergy and Infectious Diseases (NIAID) and the United States Agency for International Development (USAID).
Connecting the Dots: U.S. Tax Dollars and Wuhan’s Risky Research
Since 2019, WCW has followed the money trail leading to China’s Wuhan Lab, exposing how U.S. taxpayer funds were funneled into reckless animal experiments. In 2021, a FOIA lawsuit filed by WCW revealed official receipts proving that the U.S. government was funding Ben Hu’s gain-of-function research on bat coronaviruses.
Now, a newly-leaked U.S. intelligence report identifies Hu as the first known individual to contract COVID-19 at the Wuhan Lab—further solidifying the lab-leak theory.
What Do the Documents Reveal?
Ben Hu, now confirmed as “Patient Zero,” was the lead scientist conducting high-risk gain-of-function experiments on coronaviruses at the Wuhan Lab.
The U.S. government allocated over $41 million in taxpayer funds to the lab through NIAID and USAID grants.
Federal accounting records confirm that Hu was a primary recipient of these grants, despite U.S. policies restricting gain-of-function research.
In November 2019, Hu and two other Wuhan researchers—Yu Ping and Yan Zhu—became severely ill with COVID-like symptoms, months before China publicly acknowledged the outbreak.
Reports indicate that one Wuhan researcher’s wife died in December 2019 from a mysterious respiratory illness resembling COVID-19.
Without WCW’s investigation, Hu’s research would have continued receiving U.S. taxpayer funding until 2024. However, due to public pressure and congressional scrutiny, WCW helped terminate these grants in early 2020.
Why This Matters: A Cover-Up Exposed
The revelations expose a disturbing chain of events:
U.S. tax dollars funded Wuhan Lab researchers, including Hu, to conduct high-risk experiments on bat coronaviruses.
Ben Hu and his colleagues became sick with a COVID-like illness in late 2019, months before the official outbreak was reported.
Their identities and medical histories were kept secret by both the Chinese Communist Party (CCP) and U.S. authorities.
Leaked intelligence and FOIA documents now confirm their involvement in taxpayer-funded gain-of-function experiments.
A Growing Consensus on the Lab-Leak Theory
For years, government agencies and media outlets dismissed the lab-leak theory as a conspiracy. However, scientific experts, intelligence agencies, and most Americans now recognize that COVID-19 likely originated from a Wuhan laboratory accident.
Even the U.S. State Department acknowledged in January 2021 that Wuhan researchers involved in coronavirus experiments were hospitalized in late 2019 with symptoms resembling COVID-19.
With the latest intelligence confirming their identities and funding sources, the pieces of the puzzle are coming together.
What Happens Next?
Next week, the Biden Administration is expected to declassify additional intelligence on COVID-19’s origins. Meanwhile, WCW continues to work with lawmakers, including Sen. Roger Marshall (R-KS), to ensure that U.S. tax dollars never again fund dangerous gain-of-function research—especially in foreign labs with questionable safety practices.
The Fight to End Wasteful and Dangerous Research
WCW is committed to exposing reckless government spending on risky animal experiments. From investigating Dr. Fauci’s controversial Beagle experiments (#BeagleGate) to tracking U.S. taxpayer funding of the Wuhan Lab’s coronavirus research, WCW is leading the charge to defund wasteful and dangerous government projects.
Take Action
At TheParrotPress we have made available below the full FOIA documents obtained by WCW.
Urge lawmakers to ban taxpayer funding for gain-of-function research.
Elon Musk’s Starlink is reportedly developing quantum communication technology, a groundbreaking advancement that could revolutionize internet security and speed. If successful, this technology would make Starlink’s network virtually unhackable, providing a...
Elon Musk’s Starlink is reportedly developing quantum communication technology, a groundbreaking advancement that could revolutionize internet security and speed. If successful, this technology would make Starlink’s network virtually unhackable, providing a level of cybersecurity never seen before in consumer and government communications.
At its core, quantum communication leverages the principles of quantum mechanics—specifically quantum entanglement and quantum key distribution (QKD)—to transmit data in a way that is fundamentally immune to eavesdropping or cyberattacks. Unlike traditional encryption methods, which can be cracked with enough computing power, quantum encryption ensures that any attempt to intercept the data immediately alters it, making spying or hacking impossible.
This innovation could have massive implications for cybersecurity, financial transactions, government communications, and even national defense. Military and intelligence agencies worldwide are already exploring quantum networks as the future of secure data transmission. If Starlink succeeds, it could position itself as the global leader in next-generation, ultra-secure internet infrastructure.
While there has been no official confirmation from Starlink or Musk, insiders suggest that trials of the technology could begin soon. Given Musk’s track record of pushing the boundaries of technology—whether with Tesla, SpaceX, or Neuralink—there is strong speculation that Starlink could be the first to bring quantum-secure internet to the masses.
If this technology becomes a reality, it wouldn’t just be an upgrade to Starlink’s service—it could reshape the internet as we know it.
SpinLaunch is redefining spaceflight with a revolutionary catapult-like system that hurls satellites into orbit—completely rocket-free. Powered by a massive rotating arm, this electric-driven technology slashes costs, reduces emissions, and could transform...
Tesla released a new RoboTaxi Self Cleaning robot – it has humor too!This means that the Robotaxi network will run 24/7. If you step out of a bar at 2 a.m....
Tesla released a new RoboTaxi Self Cleaning robot – it has humor too! This means that the Robotaxi network will run 24/7.
If you step out of a bar at 2 a.m. and a dirty car pulls up, you’ll probably refuse it and wait for the next one—something that could take a few extra minutes in a city like San Francisco.
That dirty vehicle will then head to a cleaning center where it will be vacuumed. If something worse has happened, like someone vomiting in the car, it might need to wait for a human team to clean or fix it—like if someone slashed the seats.
The robot will make the call on whether the vehicle is ready to go back into service. This is a glimpse into the engineering behind making every ride exceptional.
For half a billion years, nature has painstakingly refined proteins through evolution—adapting, mutating, and optimizing biological molecules to sustain life. Now, in a matter of months, artificial intelligence has achieved the...
For half a billion years, nature has painstakingly refined proteins through evolution—adapting, mutating, and optimizing biological molecules to sustain life. Now, in a matter of months, artificial intelligence has achieved the same feat, marking a profound leap in biotechnology. The breakthrough, driven by ESM3, an advanced AI system developed by Meta, demonstrates the power of machine learning in revolutionizing how proteins are designed and understood. This technological milestone could fundamentally reshape medicine, bioengineering, materials science, and even the trajectory of life itself.
A New Era of Protein Design
Proteins are the foundation of all living organisms, performing a vast array of functions essential to life. Traditionally, designing new proteins has been an arduous process, requiring insights from nature’s own slow evolutionary experiments. Scientists have long relied on trial-and-error methods and minor modifications of existing proteins to develop new molecules for medicine and industry. Now, AI has completely upended this paradigm.
ESM3, the latest iteration of Meta’s Evolutionary Scale Modeling (ESM) project, is a powerful AI system trained on a database of 2.78 billion proteins. With 98 billion parameters, it ranks among the most sophisticated AI models ever created. Unlike previous computational biology tools, which primarily predict how proteins fold or tweak existing structures, ESM3 designs entirely new proteins from scratch—no natural template required.
From Evolution to Innovation
The true test of any AI-generated protein lies in whether it can function in real biological systems. One of ESM3’s most remarkable achievements is the creation of esmGFP, a glowing green protein that is 58% different from any naturally occurring counterpart. Evolution, operating under the constraints of natural selection, would have required millions of years to produce such a distinct protein. ESM3, in contrast, generated it in a fraction of that time. This discovery not only confirms that AI can create viable, functional proteins but also suggests that AI-driven methods could surpass evolutionary constraints to develop new biomolecules with unprecedented properties.
Implications for Medicine and Biotechnology
The ability to design proteins on demand opens the door to groundbreaking applications in healthcare, pharmaceuticals, and bioengineering. Some of the most immediate and profound impacts could include:
Drug Discovery & Personalized Medicine
AI-generated proteins could lead to new treatments for diseases that currently have no cure. Instead of modifying existing proteins, scientists can now create entirely new therapeutic molecules tailored to target specific conditions.
Personalized medicine could see a breakthrough as AI helps design customized proteins based on an individual’s genetic makeup, improving the efficacy of treatments.
Stronger Materials & Sustainable Solutions
Proteins are already used in materials science to create biodegradable plastics, stronger fibers, and self-healing materials. AI-driven protein design could accelerate these developments, yielding materials that are stronger, lighter, and more sustainable than anything nature has evolved.
Enzymes optimized by AI could enhance industrial processes by increasing efficiency and reducing waste, leading to more environmentally friendly manufacturing.
Advancing Clean Energy
AI-designed proteins could contribute to the development of biofuels and artificial photosynthesis, offering innovative ways to harness energy sustainably.
Custom enzymes could help break down pollutants, aiding in environmental cleanup efforts and combating climate change.
Food Security & Agriculture
The food industry could benefit from AI-driven proteins that improve crop resilience, enhance nutrition, and develop alternative protein sources for a growing global population.
Synthetic proteins designed for lab-grown meat or dairy alternatives could make plant-based and cultured foods more affordable and scalable, reducing reliance on traditional livestock farming.
Could AI Predict the Future of Life?
Beyond practical applications, AI’s ability to generate proteins from scratch raises an even more profound question: Can AI predict the future of biological evolution?
Evolution operates through random mutations and natural selection, which shape organisms over millions of years. However, AI can now explore biological possibilities that nature has never encountered. By modeling potential evolutionary paths, AI systems like ESM3 could offer insights into how life might adapt to new environments, evolve under extreme conditions, or even arise on other planets.
This capability has profound implications for astrobiology, synthetic biology, and our fundamental understanding of life itself. If AI can generate proteins that nature never produced, could it also help us anticipate the next stage of evolution—or even guide it?
AI-Designed Proteins: A Turning Point for Science
The development of ESM3 is more than just a scientific milestone—it represents a paradigm shift in how we understand and manipulate the fundamental molecules of life. Unlike previous advances in computational biology, which focused on deciphering natural proteins, ESM3 demonstrates that AI can now invent them. This puts us on the cusp of a future where scientists no longer have to wait for nature’s slow evolutionary experiments. Instead, they can create entirely new biological solutions in real time.
With AI-driven protein design moving from theory to reality, we are entering an era where the boundaries of medicine, biotechnology, and materials science are no longer set by evolution, but by human ingenuity.
The question is no longer whether AI can change life as we know it—it already has. The only question now is: What will we create next?
