Quantum technologies, including quantum computers, rely on materials that display unusual quantum effects under specific conditions. Researchers have found that these properties can also be engineered by adjusting a material’s structure. For example, stacking and slightly twisting layers of graphene creates a moiré pattern that can transform the material into a superconductor.

As scientists build increasingly intricate layered systems, they reach structures such as quasicrystals and super-moiré materials. The challenge is predicting which designs will be useful. Modeling these materials requires calculating vast amounts of data. In the case of quasicrystals, this can involve more than a quadrillion numbers, far exceeding the limits of even the most powerful supercomputers.

Researchers at Aalto University’s Department of Applied Physics have introduced a quantum-inspired algorithm that can handle these massive, non-periodic systems with remarkable speed. According to Assistant Professor Jose Lado, this work also highlights a growing feedback loop in quantum technology…

The U.S. restricted data transfers abroad. Cast as an assertion of sovereignty, the new posture signals weakness in great-power competition.

…When a great power restricts its data exports, the move suggests not only diminished control over platforms and infrastructure but also a lack of confidence in technological dominance and a posture defined by perceived strategic vulnerability…

…the EU’s approach to protecting individuals’ privacy was never just an expression of sovereignty. Protecting Europeans’ privacy by reining in data exports became necessary because of Europe’s infrastructural dependence, geopolitical frailty, and military irrelevance…

The United States did not feel the need to emulate Europe. For decades, the free flow of data served U.S. interests perfectly well. It allowed Google, Meta, Amazon, and Microsoft to scale globally and crush local competitors…the U.S. championed free data flows because it was winning.

…the policy shift crystallizes the U.S.’s anxieties about its position in global competition.

Launched internationally in 2017, TikTok became the most downloaded app in the world by 2020…and the U.S. found itself on the receiving end of potential mass surveillance.

…TikTok’s success shattered conventional assumptions about U.S. technological supremacy. U.S. consumers voluntarily chose a Chinese-owned app over homegrown alternatives…

Regulatory actions reveal more about a country’s self-assessment than speeches or polls. They show what governments are willing to spend political capital on, what economic costs they are prepared to absorb, and what trade-offs they consider acceptable. The TikTok legislation—passed with overwhelming bipartisan support in a Congress that struggles to agree on almost anything else—alone reveals the depth of concern.

Countries also send messages through regulation, whether they intend to or not. When the United States builds data walls, it signals to allies and adversaries alike that it no longer feels confident enough to rely on the openness it once championed.

Europe turned to data export controls because it lacked technological power. Now the U.S. has joined the defensive club. Beijing will notice.

…Redwood believes that by 2030, end-of-life batteries could supply more than 50 percent of the entire energy storage market. Instead of grinding up used batteries to reclaim the critical materials inside, put them to work storing electricity. There have been many experiments done that re-purpose used EV batteries which no longer can supply enough power to meet the need for rapid acceleration in an EV but still have up to 80 percent of their original energy storage capacity available…

…Traditional energy storage systems are high density and require heavy-duty cooling. To avoid this, Redwood’s team opted for an open-air, low-density system mounted on above-ground cable trays.

Spreading packs out in the open air helps avoid the need for active refrigeration, and stripping away moving parts like fans and filters minimizes potential reliability failures. Keeping the wiring above ground and limiting the size of each modular component minimizes the need for large equipment. As Sun explained, the result is a storage system that is faster to build, easier to inspect after storms, and cheaper to keep running over time…

…Previously, a creative design engineer would develop a 3D model of a new car concept. This model would be sent to aerodynamics specialists, who would run physics simulations to determine the coefficient of drag of the proposed car—an important metric for energy efficiency of the vehicle. This simulation phase would take about two weeks, and the aerodynamics engineer would then report the drag coefficient back to the creative designer, possibly with suggested modifications.

Now, GM has trained an in-house large physics model on those simulation results. The AI takes in a 3D car model and outputs a coefficient of drag in a matter of minutes. “We have experts in the aerodynamics and the creative studio now who can sit together and iterate instantly to make decisions [about] our future products,” says Rene Strauss, director of virtual integration engineering at GM…

“What we’re seeing is that actually, these tools are empowering the engineers to be much more efficient,” Tschammer says. “Before, these engineers would spend a lot of time on low added value tasks, whereas now these manual tasks from the past can be automated using these AI models, and the engineers can focus on taking the design decisions at the end of the day. We still need engineers more than ever.”

…because VPNs obscure a user’s true location, and because intelligence agencies presume that communications of unknown origin are foreign, Americans may be inadvertently waiving the privacy protections they’re entitled to under the law…

…VPNs might protect you against garden-variety criminals, but the intentional commingling of origin/destination points by VPNs could turn purely domestic communications into “foreign” communications the NSA can legally intercept (and the FBI, somewhat less-legally can dip into at will)…

Certainly the NSA isn’t concerned about “incidental collection.” It’s never been too concerned about its consistent “incidental” collection of US persons’ communications and data in the past and this isn’t going to budge the needle, especially since it means the NSA would have to do more work to filter out domestic communications and the FBI would be less than thrilled with any efforts made to deny it access to communications it doesn’t have the legal right to obtain on its own.

Since the government won’t do this, it’s up to the general public, starting with everyone sharing the contents of this letter with others. VPNs can still offer considerable security benefits. But everyone needs to know that domestic surveillance is one of the possible side effects of utilizing this tech.

Remember when Elon Musk told advertisers to “go fuck” themselves and then sued them for the crime of taking his advice? A federal judge has now dismissed that lawsuit — with prejudice — confirming what anyone with a passing familiarity with antitrust law already knew: companies deciding they don’t want their brands plastered next to extremist content aren’t engaged in an illegal conspiracy. They’re just making basic (probably pretty smart) business decisions.

When X Corp filed this case back in August of 2024, we walked through in great detail why the legal theory was fundamentally broken. Not broken in a “they pleaded it badly” kind of way, but broken in a “this theory does not describe an antitrust violation no matter how many drugs you’re taking or how convinced you are that the world owes you advertising dollars” kind of way. Judge Jane Boyle of the Northern District of Texas has now agreed, and the key section of her ruling is worth reading in full…

…“This is what we call Agentic Blabbering: the AI Browser exposing what it sees, what it believes is happening, what it plans to do next, and what signals it considers suspicious or safe.”

By intercepting this traffic between the browser and the AI services running on the vendor’s servers and feeding it as input to a Generative Adversarial Network (GAN), Guardio said it was able to make Perplexity’s Comet AI browser fall victim to a phishing scam in under four minutes.

. . .

“If you can observe what the agent flags as suspicious, hesitates on, and more importantly, what it thinks and blabbers about the page, you can use that as a training signal,” Chen explained. “The scam evolves until the AI Browser reliably walks into the trap another AI set for it.”

Niantic’s AI spinout is training a new world model using 30 billion images of urban landmarks crowdsourced from players.

. . .

“Five hundred million people installed that app in 60 days,” says Brian McClendon, CTO at Niantic Spatial, an AI company that Niantic spun out in May last year. According to the video-game firm Scopely, which bought Pokémon Go from Niantic at the same time, the game still drew more than 100 million players in 2024, eight years after it launched.

. . .

Now Niantic Spatial is using that vast and unparalleled trove of crowdsourced data—images of urban landmarks tagged with super-accurate location markers taken from the phones of hundreds of millions of Pokémon Go players around the world—to build a kind of world model, a buzzy new technology that grounds the smarts of LLMs in real-world environments.

The company’s latest product is a model that it says can pinpoint your location on a map to within a few centimeters, based on a handful of snapshots of the buildings or other landmarks in view. The firm wants to use it to help robots navigate with greater precision in places where GPS is unreliable. . .