Harvard has created a digital open-source wallet that keeps your private data from being shared online. The digital wallet keeps your personal data on your phone, validating your purchases without relying on a third-party source to do so.
05 Sci-Tech
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The Trump administration, which took a noninterventionist approach to artificial intelligence, is now discussing imposing oversight on A.I. models before they are made publicly available.
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The debate over regulating artificial intelligence usually focuses on two competing visions. In Europe, lawmakers are writing detailed rules that govern how AI can be developed and used. In the United States, policymakers are taking a lighter touch, allowing companies, investors and consumers to shape the technology’s future.
But a new analysis from students at the University of Florida identifies a third force quietly shaping the future of AI in America: the courts.
As AI spreads faster than any previous technology, judges and juries are being asked to resolve disputes. In doing so, they are not simply applying existing laws—they are, case by case, defining what responsible AI use looks like. The result is a distinctly American form of AI governance: one built through the give and take of negotiations and legal processes rather than legislation.
So far, courts have mostly resisted treating AI as something fundamentally new. Instead, they have folded AI into existing legal doctrines, focusing on the humans and institutions behind the technology.
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Nature has retracted a paper that claimed AI had a positive impact on student learning.
The original paper, titled “The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis,” was originally published in May of last year by Jin Wang and Wenxiang Fan of the Hangzhou Normal University in China. It is a meta-analysis, meaning it combines data from 51 research studies published between November 2022 and February 2025 on the effectiveness of ChatGPT in education. The paper claimed it found that ChatGPT had a large or moderately positive impact on “students’ learning performance, learning perception, and higher-order thinking.”
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Scientists involved in planetary formation studies, meteorites, and early solar system investigations have been wondering about the origins of the ingredients that made up the planet Earth. Studies on carbonaceous chondrites, isotopic compositions, and planetary accretion have shown that the elements needed for life on Earth, such as carbon, water, and volatiles, could have come from primitive meteorites that developed in the outer solar system. These studies have contributed to the understanding of how terrestrial planets acquired their life-giving ingredients. Scientists are finding clues to the chemical makeup of Earth through studies of isotope ratios of certain elements like molybdenum and hydrogen.
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Mars has lots of glaciers located along its mid-latitudes. We’ve known this for years thanks to the Mars Reconnaissance Orbiter’s (MRO’s) SHARAD sounder. But, despite all of the excellent data it’s managed to gather, SHARAD doesn’t have high enough resolution to accurately measure the boundary between the glacier itself and the rocky material that has been deposited on top of it over the course of billions of years. A new study, published in the journal JGR Planets, details a potential method of finding that boundary—by using a drone.
So what exactly does that boundary matter? Debris-covered glaciers (or DCGs) are a common feature on Mars. The debris that rests on top of them stops the sublimation that would otherwise cause the entire glacier to disappear into Mars’ thin atmosphere. But, we aren’t entirely sure how deeply buried these glaciers are. And if we’re to utilize the water they hold, either for direct astrobiological study or in-situ resource utilization (ISRU), we need a better idea of how much rock and dirt we have to dig through in order to access them.
SHARAD is great for tracking big macro features over the surface of the planet. But it’s not great for the nitty-gritty details of how much regolith actually covers a specific glacier. This is largely due to the fact that it’s around 300 kilometers away. In order to get that fine level of detail, we need something closer.
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Start with what might be called the epistemic layer—how we come to know things. People are increasingly relying on AI to know what is true, what is happening, and whom to trust. Search is already substantially AI-mediated. The next generation of AI assistants will synthesize information, frame it, and present it with authority. For a growing number of people, asking an AI will become the default way to form views on a candidate, a policy, or a public figure. Whoever controls what these models say therefore has increasing influence over what people believe.
Technology has always shaped the way citizens interact with information. But a new problem will soon arise in the form of personal AI agents, which can change not only how people receive information but how they act on it. These systems will conduct research, draft communications, highlight causes, and lobby on a user’s behalf. They will inform decisions such as how to vote on a ballot measure, which organizations are worth supporting, or how to respond to a government notice. They will, in a meaningful sense, begin to mediate the relationship between individuals and the institutions that govern them.
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America’s war on student smartphones is intensifying. Roughly two-thirds of US states have moved to restrict phone use in schools. The educational logic is straightforward enough. If these devices distract our kids, lock the gadgets away and learning will naturally improve—a strong prima facie case, to be sure. Yet new nationwide evidence suggests the story is more complicated than this basic common parental and teacher intuition.
A fresh NBER working paper by Stanford University’s Hunt Allcott and co-authors, “The Effects of School Phone Bans: National Evidence from Lockable Pouches,” examines one of the most stringent approaches—lockable phone pouches that physically prevent access during the school day. Using a dataset spanning thousands of schools, the researchers take advantage of a kind of natural experiment by comparing outcomes before and after adoption against similar schools that didn’t adopt the policy.
If the goal is to keep kids off their phones while at school, mission accomplished. On those terms, the policy works. Phone use plunges with pouches—fewer GPS pings on campus and far less in-class use, according to teachers.
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Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for biological mutation patterns, the computer model traces pairs of genes back in time to their last common ancestor.
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So far, America has remained ahead in the new space race. But its biggest rival is making continual steps to catch up. China announced another step in that direction with the unveiling of its first ever reusable five-meter-wide composite propulsion module, announced in a press release on April 11th.
The module was designed by the China Aerospace and Technology Corporation (CASC), the primary state contractor for the Chinese space program. Specifically, it was developed at the China Academy of Launch Vehicle Technology (CALT), which is also known as the First Academy of the CASC. It marks the largest integrated composite structure ever manufactured domestically for China’s aerospace sector. The first prototype was completed in just seven months, from initial design to delivery, underscoring the rapid development timeline.
Composites are becoming a critical feature of modern launch systems. Traditional metal components simply weigh too much. The more structural weight a launch vehicle has to carry into orbit, the less cargo or fuel it is able to carry due to the tyranny of the rocket equation. Composites are significantly lighter while still having the physical properties of metal, allowing for more payloads, or, crucially, more fuel for reentry burns.
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As major artificial intelligence breakthroughs arrive on what seems to be a near-weekly basis, the race between the US and China continues to intensify. In this post and the next, we will examine the good and bad news for the prospects of American triumph in the battle for AI superiority, a skirmish that could well determine the future of global innovation.
Let’s start with the bad news.
Last week, I attended a hearing of the House Select Committee on the Chinese Communist Party entitled “China’s Campaign to Steal America’s AI Edge.” Chairman John Moolenaar (R-MI) opened the proceedings by asserting that “China’s smuggling of advanced AI chips is a pervasive threat facing law enforcement” and observing that “just last month, the Department of Justice announced a $2.5 billion chip smuggling case, which would be the largest export control violation in US history.”
Moolenaar then asked, “Why is China so desperate to acquire US-designed chips? The reason is obvious. AI is a truly transformative technology. It’s already changing how we fight wars, run our government, and operate companies.” Critically, the chairman contended, “it is essential for the United States to maintain a decisive lead in the AI race. We cannot afford a future where Beijing dominates this technology.”
At the hearing, Dmitri Alperovitch, the founder and chairman of the Silverado Policy Accelerator, echoed Moolenaar, arguing that “we are in a race, and the stakes could not be higher. Artificial intelligence will transform every industry, every battlefield, and every government.” Critically, Alperovitch asserted, “whoever fields the best models running on the best infrastructure will likely win not just the AI race itself but the 21st century. The single most important input to winning is compute—the processing power used to train and run AI models.”
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Federal officials are scrambling after a powerful new artificial intelligence (AI) model demonstrated the ability to hack virtually every major operating system and web browser, triggering urgent warnings from top government and financial leaders.
AI giant Anthropic’s new system, known as “Mythos,” is being kept under tight restrictions.
However, insiders say the threat is already serious enough that the U.S. government is racing to understand it before it’s too late.
Treasury Rushes to Access High-Risk AI
According to reports, the U.S. Treasury Department is urgently seeking access to Anthropic’s restricted model
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One of the biggest takeaways of the war with Iran is that it has proven itself to be a surprisingly capable adversary against the United States. In addition to its willingness to go on the offensive, Iran has forced the U.S. and its regional allies to confront the rise of cheap drones on the battlefield.
Iranian drones, made with commercial-grade technology, cost roughly $35,000 to produce. That is a fraction of the cost of the high-tech military interceptors sometimes used to shoot them down.
Note: Estimated price of munitions per unit. In practice, multiple interceptors are fired when targeting a drone. For instance, with the $80 bullet fired by the Centurion Counter-Rocket, Artillery, and Mortar (C-RAM), 75 rounds are fired in a second. Sources: Department of Defense, Lockheed Martin, Northrop Grumman, Open Source Munitions Portal, SRC Inc, U.S. Army and U.S. Navy.
Cheap drones changed the war in Ukraine, and they have enabled Iranians to exploit a gap in American defense investments, which have historically prioritized accurate but expensive solutions.
Countering drones has been a major priority for the Pentagon for years, according to Michael C. Horowitz, who was a Pentagon official in the Biden administration. “But there has not been the impetus to scale a solution,” he said.