An anonymous reader quotes a report from TechCrunch: On Sunday, Block CEO and Twitter co-founder Jack Dorsey launched an open source chat app called Bitchat, promising to deliver "secure" and "private" messaging without a centralized infrastructure. The app relies on Bluetooth and end-to-end encryption, unlike traditional messaging apps that rely on the internet. By being decentralized, Bitchat has potential for being a secure app in high-risk environments where the internet is monitored or inaccessible. According to Dorsey's white paper detailing the app's protocols and privacy mechanisms, Bitchat's system design "prioritizes" security.

But the claims that the app is secure, however, are already facing scrutiny by security researchers, given that the app and its code have not been reviewed or tested for security issues at all -- by Dorsey's own admission. Since launching, Dorsey has added a warning to Bitchat's GitHub page: "This software has not received external security review and may contain vulnerabilities and does not necessarily meet its stated security goals. Do not use it for production use, and do not rely on its security whatsoever until it has been reviewed." This warning now also appears on Bitchat's main GitHub project page but was not there at the time the app debuted.

As of Wednesday, Dorsey added: "Work in progress," next to the warning on GitHub. This latest disclaimer came after security researcher Alex Radocea found that it's possible to impersonate someone else and trick a person's contacts into thinking they are talking to the legitimate contact, as the researcher explained in a blog post. Radocea wrote that Bitchat has a "broken identity authentication/verification" system that allows an attacker to intercept someone's "identity key" and "peer id pair" -- essentially a digital handshake that is supposed to establish a trusted connection between two people using the app. Bitchat calls these "Favorite" contacts and marks them with a star icon. The goal of this feature is to allow two Bitchat users to interact, knowing that they are talking to the same person they talked to before.

An anonymous reader quotes a report from Reuters: America's largest power grid is under strain as data centers and AI chatbots consume power faster than new plants can be built. Electricity bills are projected to surge by more than 20% this summer in some parts of PJM Interconnection's territory, which covers 13 states -- from Illinois to Tennessee, Virginia to New Jersey -- serving 67 million customers in a region with the most data centers in the world. The governor of Pennsylvania is threatening to abandon the grid, the CEO has announced his departure and the chair of PJM's board of managers and another board member were voted out.

The upheaval at PJM started a year ago with a more than 800% jump in prices at its annual capacity auction. Rising prices out of the auction trickle down to everyday people's power bills. Now PJM is barreling towards its next capacity auction on Wednesday, when prices may rise even further. The auction aims to avoid blackouts by establishing a rate at which generators agree to pump out electricity during the most extreme periods of stress on the grid, usually the hottest and coldest days of the year. High prices out of the auction should spur new power plant construction, but that hasn't happened quickly enough in PJM's region as aging power plants continue to retire and data center demand explodes. PJM has made the situation worse by delaying auctions and pausing the application process for new plants, according to more than a dozen power developers, regulators, energy attorneys and other experts interviewed by Reuters.

PJM says the supply and demand crunch has been caused largely by factors outside of its control, including state energy policies that closed fossil-fuel fired power plants prematurely and data center growth in "Data Center Alley" in Northern Virginia and other burgeoning hubs in the Mid-Atlantic. "Prices will remain high as long as demand growth is outstripping supply -- this is a basic economic policy," said PJM spokesman Jeffrey Shields. "Right now, we need every megawatt we can get." New projects totaling about 46 gigawatts -- enough capacity to power 40 million homes -- have been cleared in recent years, "but are not getting built because of local opposition, supply chain backups or financing issues that have nothing to do with PJM," Shields said.

PJM has lost more than 5.6 net gigawatts in the last decade as power plants shut faster than new ones enter service, according to a PJM presentation filed with regulators this year. PJM added about 5 gigawatts of power-generating capacity in 2024, fewer than smaller grids in California and Texas. Meanwhile, data center demand is surging. By 2030, PJM expects 32 gigawatts of increased demand on its system, with all but two of those gigawatts coming from data centers.

An anonymous reader quotes a report from VentureBeat: Hugging Face, the $4.5 billion artificial intelligence platform that has become the GitHub of machine learning, announced Tuesday the launch of Reachy Mini, a $299 desktop robot designed to bring AI-powered robotics to millions of developers worldwide. The 11-inch humanoid companion represents the company's boldest move yet to democratize robotics development and challenge the industry's traditional closed-source, high-cost model.

The announcement comes as Hugging Face crosses a significant milestone of 10 million AI builders using its platform, with CEO Clement Delangue revealing in an exclusive interview that "more and more of them are building in relation to robotics." The compact robot, which can sit on any desk next to a laptop, addresses what Delangue calls a fundamental barrier in robotics development: accessibility. "One of the challenges with robotics is that you know you can't just build on your laptop. You need to have some sort of robotics partner to help in your building, and most people won't be able to buy $70,000 robots," Delangue explained, referring to traditional industrial robotics systems and even newer humanoid robots like Tesla's Optimus, which is expected to cost $20,000-$30,000.

Reachy Mini emerges from Hugging Face's April acquisition of French robotics startup Pollen Robotics, marking the company's most significant hardware expansion since its founding. The robot represents the first consumer product to integrate natively with the Hugging Face Hub, allowing developers to access thousands of pre-built AI models and share robotics applications through the platform's "Spaces" feature. [...] Reachy Mini packs sophisticated capabilities into its compact form factor. The robot features six degrees of freedom in its moving head, full body rotation, animated antennas, a wide-angle camera, multiple microphones, and a 5-watt speaker. The wireless version includes a Raspberry Pi 5 computer and battery, making it fully autonomous. The robot ships as a DIY kit and can be programmed in Python, with JavaScript and Scratch support planned. Pre-installed demonstration applications include face and hand tracking, smart companion features, and dancing moves. Developers can create and share new applications through Hugging Face's Spaces platform, potentially creating what Delangue envisions as "thousands, tens of thousands, millions of apps." Reachy Mini's $299 price point could significantly transform robotics education and research. "Universities, coding bootcamps, and individual learners could use the platform to explore robotics concepts without requiring expensive laboratory equipment," reports VentureBeat. "The open-source nature enables educational institutions to modify hardware and software to suit specific curricula. Students could progress from basic programming exercises to sophisticated AI applications using the same platform, potentially accelerating robotics education and workforce development."

"... For the first time, a major AI platform is betting that the future of robotics belongs not in corporate research labs, but in the hands of millions of individual developers armed with affordable, open-source tools."

An anonymous reader quotes a report from Wired: If you want a job at McDonald's today, there's a good chance you'll have to talk to Olivia. Olivia is not, in fact, a human being, but instead an AI chatbot that screens applicants, asks for their contact information and resume, directs them to a personality test, and occasionally makes them "go insane" by repeatedly misunderstanding their most basic questions. Until last week, the platform that runs the Olivia chatbot, built by artificial intelligence software firm Paradox.ai, also suffered from absurdly basic security flaws. As a result, virtually any hacker could have accessed the records of every chat Olivia had ever had with McDonald's applicants -- including all the personal information they shared in those conversations -- with tricks as straightforward as guessing the username and password "123456."

On Wednesday, security researchers Ian Carroll and Sam Curryrevealedthat they found simple methods to hack into the backend of the AI chatbot platform on McHire.com, McDonald's website that many of its franchisees use to handle job applications. Carroll and Curry, hackers with along track record of independent security testing, discovered that simple web-based vulnerabilities -- including guessing one laughably weak password -- allowed them to access a Paradox.ai account and query the company's databases that held every McHire user's chats with Olivia. The data appears to include as many as 64 million records, including applicants' names, email addresses, and phone numbers.

Carroll says he only discovered that appalling lack of security around applicants' information because he was intrigued by McDonald's decision to subject potential new hires to an AI chatbot screener and personality test. "I just thought it was pretty uniquely dystopian compared to a normal hiring process, right? And that's what made me want to look into it more," says Carroll. "So I started applying for a job, and then after 30 minutes, we had full access to virtually every application that's ever been made to McDonald's going back years." Paradox.ai confirmed the security findings, acknowledging that only a small portion of the accessed records contained personal data. The company stated that the weak-password account ("123456") was only accessed by the researchers and no one else. To prevent future issues, Paradox is launching a bug bounty program. "We do not take this matter lightly, even though it was resolved swiftly and effectively," Paradox.ai's chief legal officer, Stephanie King, told WIRED in an interview. "We own this."

In a statement to WIRED, McDonald's agreed that Paradox.ai was to blame. "We're disappointed by this unacceptable vulnerability from a third-party provider, Paradox.ai. As soon as we learned of the issue, we mandated Paradox.ai to remediate the issue immediately, and it was resolved on the same day it was reported to us," the statement reads. "We take our commitment to cyber security seriously and will continue to hold our third-party providers accountable to meeting our standards of data protection."

Meta has acquired a $3.5 billion stake in Ray-Ban maker EssilorLuxottica, "a deal that increases the U.S. tech giant's financial commitment to the fast-growing smart glasses industry," reports Bloomberg. From the report: Meta's investment in the eyewear giant deepens the relationship between the two companies, which have partnered over the past several years to develop AI-powered smart glasses. Meta currently sells a pair of Ray-Ban glasses, first debuted in 2021, with built-in cameras and an AI assistant. Last month, it launched separate Oakley-branded glasses with EssilorLuxottica. EssilorLuxottica Chief Executive Officer Francesco Milleri said last year that Meta was interested in taking a stake the company, but that plan hadn't materialized until now.

The deal aligns with Meta CEO Mark Zuckerberg's commitment to AI, which has become a top priority and major expense for the company. Smart glasses are a key part of that plan. While Meta has historically had to deliver its apps and services via smartphones created by competitors, glasses offer Meta a chance to build its own hardware and control its own distribution, Zuckerberg has said. The arrangement gives Meta the advantage of having more detailed manufacturing knowledge and global distribution networks, fundamental to turning its smart glasses into mass-market products. For EssilorLuxottica, the deal provides a deeper presence in the tech world, which would be helpful if Meta's futuristic bets pay off. Meta is also betting on the idea that people will one day work and play while wearing headsets or glasses.

An anonymous reader quotes a report from ZDNet: The Linux Foundation announced at the Open Source Summit in Denver that it will now host the Agent2Agent (A2A) protocol. Initially developed by Google and now supported by more than 100 leading technology companies, A2A is a crucial new open standard for secure and interoperable communication between AI agents. In his keynote presentation, Mike Smith, a Google staff software engineer, told the conference that the A2A protocol has evolved to make it easier to add custom extensions to the core specification. Additionally, the A2A community is working on making it easier to assign unique identities to AI agents, thereby improving governance and security.

The A2A protocol is designed to solve one of AI's most pressing challenges: enabling autonomous agents -- software entities capable of independent action and decision-making -- to discover each other, securely exchange information, and collaborate across disparate platforms, vendors, and frameworks. Under the hood, A2A does this work by creating an AgentCard. An AgentCard is a JavaScript Object Notation (JSON) metadata document that describes its purpose and provides instructions on how to access it via a web URL. A2A also leverages widely adopted web standards, such as HTTP, JSON-RPC, and Server-Sent Events (SSE), to ensure broad compatibility and ease of integration. By providing a standardized, vendor-neutral communication layer, A2A breaks down the silos that have historically limited the potential of multi-agent systems.

For security, A2A comes with enterprise-grade authentication and authorization built in, including support for JSON Web Tokens (JWTs), OpenID Connect (OIDC), and Transport Layer Security (TLS). This approach ensures that only authorized agents can participate in workflows, protecting sensitive data and agent identities. While the security foundations are in place, developers at the conference acknowledged that integrating them, particularly authenticating agents, will be a hard slog. Antje Barth, an Amazon Web Services (AWS) principal developer advocate for generative AI, explained what the adoption of A2A will mean for IT professionals: "Say you want to book a train ride to Copenhagen, then a hotel there, and look maybe for a fancy restaurant, right? You have inputs and individual tasks, and A2A adds more agents to this conversation, with one agent specializing in hotel bookings, another in restaurants, and so on. A2A enables agents to communicate with each other, hand off tasks, and finally brings the feedback to the end user."

Jim Zemlin, executive director of the Linux Foundation, said: "By joining the Linux Foundation, A2A is ensuring the long-term neutrality, collaboration, and governance that will unlock the next era of agent-to-agent powered productivity." Zemlin expects A2A to become a cornerstone for building interoperable, multi-agent AI systems.

Jack Dorsey has launched Bitchat, a decentralized, peer-to-peer messaging app that uses Bluetooth mesh networks for encrypted, ephemeral chats without requiring accounts, servers, or internet access. The beta version is live on TestFlight, with a full white paper available on GitHub. CNBC reports: In a post on X Sunday, Dorsey called it a personal experiment in "bluetooth mesh networks, relays and store and forward models, message encryption models, and a few other things."

Bitchat enables ephemeral, encrypted communication between nearby devices. As users move through physical space, their phones form local Bluetooth clusters and pass messages from device to device, allowing them to reach peers beyond standard range -- even without Wi-Fi or cell service. Certain "bridge" devices connect overlapping clusters, expanding the mesh across greater distances. Messages are stored only on device, disappear by default and never touch centralized infrastructure -- echoing Dorsey's long-running push for privacy-preserving, censorship-resistant communication.

Like the Bluetooth-based apps used during Hong Kong's 2019 protests, Bitchat is designed to keep working even when the internet is blocked, offering a censorship-resistant way to stay connected during outages, shutdowns or surveillance. The app also supports optional group chats, or "rooms," which can be named with hashtags and protected by passwords. It includes store and forward functionality to deliver messages to users who are temporarily offline. A future update will add WiFi Direct to increase speed and range, pushing Dorsey's vision for off-grid, user-owned communication even further.

An anonymous reader shares a report: India is set to begin mass-producing electric-vehicle batteries within 18 months, a step hailed as a leap towards industrial self-reliance. Yet the structure of this new industry looks troublingly familiar, echoing a pattern of dependence that has long marked India's economy.

Nowhere is this dependence clearer than in the heft of intellectual property. The portfolios of India's largest battery-makers, Amara Raja and Exide, contain just seven patents combined. This pales in comparison to the industry's giants: China's CATL sits on a hoard of over 43,000 patents, while South Korea's LG Energy Solution possesses some 70,000.

Having largely missed the global lithium-ion boom, India's established lead-acid manufacturers built a business model on licensing technology rather than inventing it. This long-standing habit is now reflected in deals that create deep technological dependency. A 2022 agreement between Exide and China's SVOLT, for example, calls for SVOLT to not only transfer intellectual property but also to oversee plant construction, supply the equipment and integrate the factory into its own Chinese supply chain. Amara Raja's deal with Gotion High-Tech in June 2024 follows a similar template.

"Apple quietly dropped a new AI model on Hugging Face with an interesting twist," writes 9to5Mac. "Instead of writing code like traditional LLMs generate text (left to right, top to bottom), it can also write out of order, and improve multiple chunks at once."

"The result is faster code generation, at a performance that rivals top open-source coding models." Traditionally, most LLMs have been autoregressive. This means that when you ask them something, they process your entire question, predict the first token of the answer, reprocess the entire question with the first token, predict the second token, and so on. This makes them generate text like most of us read: left to right, top to bottom... An alternative to autoregressive models is diffusion models, which have been more often used by image models like Stable Diffusion. In a nutshell, the model starts with a fuzzy, noisy image, and it iteratively removes the noise while keeping the user request in mind, steering it towards something that looks more and more like what the user requested...

Lately, some large language models have looked to the diffusion architecture to generate text, and the results have been pretty promising... This behavior is especially useful for programming, where global structure matters more than linear token prediction... [Apple] released an open-source model called DiffuCode-7B-cpGRPO, that builds on top of a paper called DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation, released just last month... [W]ith an extra training step called coupled-GRPO, it learned to generate higher-quality code with fewer passes. The result? Code that's faster to generate, globally coherent, and competitive with some of the best open-source programming models out there.

Even more interestingly, Apple's model is built on top of Qwen2.5-7B, an open-source foundation model from Alibaba. Alibaba first fine-tuned that model for better code generation (as Qwen2.5-Coder-7B), then Apple took it and made its own adjustments. They turned it into a new model with a diffusion-based decoder, as described in the DiffuCoder paper, and then adjusted it again to better follow instructions. Once that was done, they trained yet another version of it using more than 20,000 carefully picked coding examples.
"Although DiffuCoder did better than many diffusion-based coding models (and that was before the 4.4% bump from DiffuCoder-7B-cpGRPO), it still doesn't quite reach the level of GPT-4 or Gemini Diffusion..." the article points out.

But "the bigger point is this: little by little, Apple has been laying the groundwork for its generative AI efforts with some pretty interesting and novel ideas."

An anonymous reader shared this report from the San Francisco Standard: About an hour into my meeting with the undisputed hackathon king of San Francisco, Rene Turcios asked if I wanted to smoke a joint with him. I politely declined, but his offer hardly surprised me. Turcios has built a reputation as a cannabis-loving former professional Yu-Gi-Oh! player who resells Labubus out of his Tenderloin apartment when he's not busy attending nearly every hackathon happening in the city. Since 2023, Turcios, 29, has attended more than 200 events, where he's won cash, software credits, and clout. "I'm always hustling," he said.

The craziest part: he doesn't even know how to code.

"Rene is the original vibe coder," said RJ Moscardon, a friend and fellow hacker who watched Turcios win second place at his first-ever hackathon at the AGI House mansion in Hillsborough. "All the engineers with prestigious degrees scoffed at him at first. But now they're all doing exactly the same thing...." Turcios was vibe coding long before the technique had a name — and was looked down upon by longtime hackers for using AI. But as Tiger Woods once said, "Winning takes care of everything...."

Instead of vigorously coding until the deadline, he finished his projects hours early by getting AI to do the technical work for him. "I didn't write a single line of code," Turcios said of his first hackathon where he prompted ChatGPT using plain English to generate a program that can convert any song into a lo-fi version. When the organizers announced Turcios had won second place, he screamed in celebration.... "I realized that I could compete with people who have degrees and fancy jobs...."

Turcios is now known for being able to build anything quickly. Businesses reach out to him to contract out projects that would take software engineering teams weeks — and he delivers in hours. He's even started running workshops to teach non-technical groups and experienced software engineers how to get the most out of AI for coding.
"He grew up in Missouri to parents who worked in an international circus, taming bears and lions..."

Two accessory manufacturers have told The Verge that Nintendo has intentionally locked down the Switch 2's USB-C port using a new encryption scheme, preventing compatibility with third-party docks and accessories. "I haven't yet found proof of that encryption chip myself -- but when I analyzed the USB-C PD traffic with a Power-Z tester, I could clearly see the new Nintendo Switch not behaving like a good USB citizen should," writes The Verge's Sean Hollister. From the report: If you've been wondering why there are basically no portable Switch 2 docks on the market, this is the reason. Even Jsaux, the company that built its reputation by beating the Steam Deck dock to market, tells us it's paused its plans to build a Switch 2 dock because of Nintendo's actions. It's not simply because the Switch 2 now requires more voltage, as was previously reported; it's that Nintendo has made things even more difficult this generation.

AI-powered note-taking apps are increasingly attending workplace meetings in place of human participants, creating situations where automated transcription bots outnumber actual attendees.

Major platforms including Zoom, Microsoft Teams and Google Meet now offer built-in note-taking features that record, transcribe and summarize meetings for invited participants who don't attend. The technology operates under varying legal frameworks, with most states requiring only single-party consent for recording while California, Florida, and Pennsylvania mandate all-party approval.

An anonymous reader quotes a report from TechCrunch: After 13 years of deploying robots into its warehouses, Amazon reached a new milestone. The tech behemoth now has 1 million robots in its warehouses, the company announced Monday. This one millionth robot was recently delivered to an Amazon fulfillment facility in Japan. That figure puts Amazon on track to reach another landmark: Its vast network of warehouses may soon have the same number of robots working as people, according to reporting from The Wall Street Journal. The WSJ also reported that 75% of Amazon's global deliveries are now assisted in some way by a robot. Amazon also unveiled a new generative AI model called DeepFleet, built using SageMaker and trained on its own warehouse data, which improves robotic fleet speed by 10% through more efficient route coordination.

AI agents are now conducting first-round job interviews to screen candidates before human recruiters review them, according to WashingtonPost, which cites job seekers who report being contacted by virtual recruiters from different staffing companies. The conversational agents, built on large language models, help recruiting firms respond to every applicant and conduct interviews around the clock as companies face increasingly large talent pools.

LinkedIn reported that job applications have jumped 30% in the last two years, partially due to AI, with some positions receiving hundreds of applications within hours. The Society for Human Resource Management said a growing number of organizations now use AI for recruiting to automate candidate searches and communicate with applicants during interviews. The AI interviews, conducted by phone or video, can last anywhere from a few minutes to 20 minutes depending on the candidate's experience and the hiring firm's questions.

"For-profit companies are pushing the narrative that they can do space inexpensively," writes Slashdot reader RUs1729 in response to an opinion piece from SpaceNews. "Their track record reveals otherwise: cutting corners won't do it for the foreseeable future." Here's an excerpt from the article, written by Robert N. Eberhart: The headlines in the space industry over the past month have delivered a sobering reminder: space is not forgiving, and certainly not friendly to overpromising entrepreneurs. From iSpace's second failed lunar landing attempt (making them 0 for 2) to SpaceX's ongoing Starship test flight setbacks -- amid a backdrop of exploding prototypes and shifting goalposts -- the evidence is mounting that the commercialization of space is not progressing in the triumphant arc that press releases might suggest. This isn't just a series of flukes. It points to a structural, strategic and cultural problem in how we talk about innovation, cost and success in space today.

Let's be blunt: 50 years ago, we did this. We sent humans to the moon, not once but repeatedly, and brought them back. With less computational power than your phone, using analog systems and slide rules, we achieved feats of incredible precision, reliability and coordination. Today's failures, even when dressed up as "learning opportunities," raises the obvious question: Why are we struggling to do now what we once achieved decades ago with far more complexity and far less technology?

Until very recently, the failure rate of private lunar exploration efforts underscored this reality. Over the past two decades, not a single private mission had fully succeeded -- until last March when Firefly Aerospace's Blue Ghost lander touched down on the moon. It marked the first fully successful soft landing by a private company. That mission deserves real credit. But that credit comes with important context: It took two decades of false starts, crashes and incomplete landings -- from Space IL's Beresheet to iSpace's Hakuto-R and Astrobotic's Peregrine -- before even one private firm delivered on the promise of lunar access. The prevailing industry answer -- "we need to innovate for lower cost" -- rings hollow. What's happening now isn't innovation; it's aspiration masquerading as disruption... "This is not a call for a retreat to Cold War models or Apollo-era budgets," writes Eberhart, in closing. "It's a call for seriousness. If we're truly entering a new space age, then it needs to be built on sound engineering, transparent economics and meaningful technical leadership -- not PR strategy. Let's stop pretending that burning money in orbit is a business model."

"The dream of a sustainable, entrepreneurial space ecosystem is still alive. But it won't happen unless we stop celebrating hype and start demanding results. Until then, the real innovation we need is not in spacecraft -- it's in accountability."

Robert N. Eberhart, PhD, is an associate professor of management and the faculty director of the Ahlers Center for International Business at the Knauss School of Business of University of San Diego. He is the author of several academic publications and books. He is also part of Oxford University's Smart Space Initiative and contributed to Berkeley's Space Sciences Laboratory. Before his academic career, Prof. Eberhart founded and ran a successful company in Japan.

Google has signed a deal to purchase 200 megawatts of future fusion energy from Commonwealth Fusion Systems, despite the energy source not yet existing. "It's a sign of how hungry big tech companies are for a virtually unlimited source of clean power that is still years away," reports CNN. From the report: Google and Massachusetts-based Commonwealth Fusion Systems announced a deal Monday in which the tech company bought 200 megawatts of power from Commonwealth's first commercial fusion plant, the same amount of energy that could power roughly 200,000 average American homes. Commonwealth aims to build the plant in Virginia by the early 2030s. When it starts generating usable fusion energy is still TBD, though the company believes they can do it in the same timeframe.

Google is also investing a second round of money into Commonwealth to spur development of its demonstration tokamak -- a donut-shaped machine that uses massive magnets and molten plasma to force two atoms to merge, thereby creating the energy of the sun. Google and Commonwealth did not disclose how much money is being invested, but both touted the announcement as a major step toward fusion commercialization. "We're using this purchasing power that we have to send a demand signal to the market for fusion energy and hopefully move (the) technology forward," said Michael Terrell, senior director of energy and climate at Google.

Commonwealth is currently building its demonstration plant in Massachusetts, known as SPARC. It's the tokamak the company says could forever change where the world gets its power from, generating 10 million times more energy than coal or natural gas while producing no planet-warming pollution. Fuel for fusion is abundant, derived from a form of hydrogen found in seawater and tritium extracted from lithium. And unlike nuclear fission, there is no radioactive waste involved. The big challenge is that no one has yet built a machine powerful and precise enough to get more energy out of the reaction than they put into it.

"Earth's ozone layer blocks the Sun's shortest wave radiation, called UV-C, which is so damaging to cells in high doses that it's a go-to sterilizer in hospitals," writes Slashdot reader sciencehabit. "UV-C is such a killer, in fact, that scientists have questioned whether life can survive on worlds that lack an ozone layer, such as Mars or distant exoplanets.

"But research published this month in Astrobiology suggests one hardy lichen, a hybrid organism made of algae and fungi, may have cracked the UV-C code with a built-in sunscreen, despite never experiencing these rays in its long evolutionary history."

Science magazine explains: When scientists brought a sample of the species, the common desert dweller Clavascidium lacinulatum, back to the lab, graduate student Tejinder Singh put the lichen through the wringer. First, Singh dehydrated the lichen, to make sure it couldn't grow back in real time and mask any UV damage. Then he placed the lichen a few centimeters under a UV lamp and blasted it with radiation. The lichen seemed just fine.

So Singh purchased the most powerful UV-C lamp he could find online, capable of sending out 20 times more radiation than the amount expected on Mars. When he tested the lamp on the most radiation-resistant life form on Earth, the bacterium Deinococcus radiodurans, it died in less than a minute. After 3 months—likely the highest amount of UV-C radiation ever tested on an organism—Singh pulled the sample so he could finish his master's thesis in time. About half of the lichen's algal cells had survived. Then, when the team ground up and cultured part of the surviving lichen, about half of its algal cells sprouted new, green colonies after 2 weeks, showing it maintained the ability to reproduce.

The species may provide a blueprint for surviving on Mars or exoplanets, which don't have an ozone layer to protect them.

"The potential threat of bosses attempting to replace human workers with AI agents is just one of many compounding reasons people are critical of generative AI..." writes Wired, arguing that there's an AI backlash that "keeps growing strong."

"The pushback from the creative community ramped up during the 2023 Hollywood writer's strike, and continued to accelerate through the current wave of copyright lawsuits brought by publishers, creatives, and Hollywood studios." And "Right now, the general vibe aligns even more with the side of impacted workers." "I think there is a new sort of ambient animosity towards the AI systems," says Brian Merchant, former WIRED contributor and author of Blood in the Machine, a book about the Luddites rebelling against worker-replacing technology. "AI companies have speedrun the Silicon Valley trajectory." Before ChatGPT's release, around 38 percent of US adults were more concerned than excited about increased AI usage in daily life, according to the Pew Research Center. The number shot up to 52 percent by late 2023, as the public reacted to the speedy spread of generative AI. The level of concern has hovered around that same threshold ever since...

[F]rustration over AI's steady creep has breached the container of social media and started manifesting more in the real world. Parents I talk to are concerned about AI use impacting their child's mental health. Couples are worried about chatbot addictions driving a wedge in their relationships. Rural communities are incensed that the newly built data centers required to power these AI tools are kept humming by generators that burn fossil fuels, polluting their air, water, and soil. As a whole, the benefits of AI seem esoteric and underwhelming while the harms feel transformative and immediate.

Unlike the dawn of the internet where democratized access to information empowered everyday people in unique, surprising ways, the generative AI era has been defined by half-baked software releases and threats of AI replacing human workers, especially for recent college graduates looking to find entry-level work. "Our innovation ecosystem in the 20th century was about making opportunities for human flourishing more accessible," says Shannon Vallor, a technology philosopher at the Edinburgh Futures Institute and author of The AI Mirror, a book about reclaiming human agency from algorithms. "Now, we have an era of innovation where the greatest opportunities the technology creates are for those already enjoying a disproportionate share of strengths and resources."

The impacts of generative AI on the workforce are another core issue that critics are organizing around. "Workers are more intuitive than a lot of the pundit class gives them credit for," says Merchant. "They know this has been a naked attempt to get rid of people."
The article suggests "the next major shift in public opinion" is likely "when broad swaths of workers feel further threatened," and organize in response...

An anonymous reader shared this report from Smithsonian magazine: Last year, Australian scientists picked up a mysterious burst of radio waves that briefly appeared brighter than all other signals in the sky. Now, the researchers have discovered the blast didn't come from a celestial object, but a defunct satellite orbiting Earth... "We got all excited, thinking maybe we'd discovered a new pulsar or some other object," says Clancy James, a researcher at Australia's Curtin University who is on the Australian Square Kilometer Array Pathfinder (ASKAP) team, to Alex Wilkins at New Scientist. After taking a closer look, however, the team realized that the only viable source for the burst was NASA's dead Relay 2, a short-lived satellite that hasn't been in operation since 1967....

The researchers also discovered that at the time of the event, the satellite was only around 2,800 miles away from Earth, which explains why the signal appeared so strong. The reason behind Relay 2's sudden burst is not clear, but the team has come up with two potential explanations — and neither involves the satellite coming back to life like a zombie. One relates to electrostatic discharge — a build-up of electricity that can result in a sudden blast. Spacecraft get charged with electricity when they pass through plasma, and once enough charge accumulates, it can create a spark. "New spacecraft are built with materials to reduce the build-up of charge, but when Relay 2 was launched, this wasn't well-understood," explains James to Space.com's Robert Lea. The other idea is that a micrometeorite hit the satellite, releasing a small cloud of plasma and radio waves.

Karen Aplin, a space scientist at the University of Bristol in England who was not involved in the study, tells New Scientist that it would be tough to differentiate between signals produced by each of those two scenarios, because they would look very similar. The researchers say they favor the first idea, however, because micrometeorites the size of the one that could have caused the signal are uncommon.
"Their findings were published in a pre-print paper on the arXiv server that has not yet been peer-reviewed."

Seven people have now received Neuralink's N1 brain implant, which enables individuals with ALS or spinal cord injuries to control a computer with their thoughts. PCMag reports: In a February 2025 update, Neuralink confirmed that three people had received its brain-computer interface (BCI). That increased to five by June, when it also reported a $650 million funding round. We're now at seven, Barrow tweeted today; Neuralink retweeted that message.

Six of the seven are participating in the PRIME study, conducted by Barrow, which handles the implantations from its Phoenix, Arizona, office. It aims to prove that the N1 implant, the R1 surgical robot, and the N1 User App on the computer are safe and effective, according to the program brochure. (No BCIs have been approved by the US Food and Drug Administration.)

Participants in the study get the implant through a surgery in which a custom-built robotic arm drills a hole in their skull and implants the device. The implant connects to a computer via Bluetooth, allowing patients to move the cursor, select words to type, browse the web, and even play video games -- a favorite activity of Neuralink's first human patient, Noland Arbaugh, who can do this all without moving any limbs or fingers. [...] Arbaugh, now 31, became paralyzed during a diving accident. Other Neuralink patients include Alex, a former machine parts builder who lost function of his arms and uses his N1 Implant to design 3D machine parts with computer-aided design (CAD). The third patient is Brad, the first person with ALS to receive the N1 implant, according to Barrow.

Mike is the fourth patient, and "the first person with a full-time job to use the N1 Implant," Barrow says. "He worked as a survey technician for city government and spent the majority of his time in the field until his ALS made the work too difficult. Like Alex, Mike has used CAD software with his Neuralink device to continue doing survey work from home and provide for his family." The fifth publicly named patient is RJ, a veteran who became paralyzed after a motorcycle accident, according to the University of Miami. The other two patients remain anonymous, but we can expect Neuralink to continue recruiting more people (here's how to apply).