China "accounts for more than half of global coal use," reports Asia Times, "even as it builds the world's largest solar-panel and EV industries." Much of the world's solar gear is made on fossil power. The International Energy Agency finds that "coal generates over 60% of the electricity used for global solar PV manufacturing," far above coal's ~36% share of typical grids. That is because over 80% of PV factories sit in Chinese provinces like Xinjiang and Jiangsu, where coal dominates the grid.

China has poured over $50 billion into solar factories since 2011, roughly ten times Europe's investment, cutting panel costs by about 80% and fueling a worldwide solar boom. But those panels were produced on coal. In one analysis, they repay their manufacturing CO2 in only months, meaning the emissions were dumped up-front in China's coal plants. Any major disruption to China's coal power or factories (from grid shocks to trade barriers) could thus send ripples through the global PV market.

China's coal and heavy industries also feed its clean-tech supply chain. Coal-fired steel mills supply the aluminum and metal parts for EVs and panels, and coal chemicals provide battery precursors and silicon for solar... At the same time, Chinese oil and gas giants (CNPC, Sinopec) have set up solar, wind and battery divisions, redirecting fossil profits into green ventures.
Another interesting statistic from the article: "In Thailand, Asia's long-time auto hub, Chinese EV brands now command more than 70% of EV sales."

Thanks to Slashdot reader RossCWilliams for sharing the news.

The University of Washington's Paul G. Allen School of Computer Science & Engineering is overhauling its approach to computer science education as AI reshapes the tech industry. Director Magdalena Balazinska has declared that "coding, or the translation of a precise design into software instructions, is dead" because AI can now handle that work.

The Pacific Northwest's premier tech program now allows students to use GPT tools in assignments, requiring them to cite AI as a collaborator just as they would credit input from a fellow student. The school is considering "coordinated changes to our curriculum" after encouraging professors to experiment with AI integration.

An anonymous reader quotes a report from The Record: A German court has ruled that Meta must pay $5,900 to a German Facebook user who sued the platform for embedding tracking technology in third-party websites -- a ruling that could open the door to large fines down the road over data privacy violations relating to pixels and similar tools. The Regional Court of Leipzig in Germany ruled Friday that Meta tracking pixels and software development kits embedded in countless websites and apps collect users' data without their consent and violate the continent's General Data Protection Regulation (GDPR).

The ruling in favor of the plaintiff sets a precedent which the court acknowledged will allow countless other users to sue without "explicitly demonstrating individual damages," according to a Leipzig Regional Court press release. "Every user is individually identifiable to Meta at all times as soon as they visit the third-party websites or use an app, even if they have not logged in via the Instagram and Facebook account," the press release said. "This may very well be one of the most substantial rulings coming out of Europe this year," said Ronni K. Gothard Christiansen, the CEO of AesirX, a consultancy which helps businesses comply with data privacy laws. "$5,900 in damages for one visitor adds up quickly if you have tens of thousands of visitors, or even millions."

AMD is warning users of a newly discovered form of side-channel attack affecting a broad range of its chips that could lead to information disclosure. Register: Akin to Meltdown and Spectre, the Transient Scheduler Attack (TSA) comprises four vulnerabilities that AMD said it discovered while looking into a Microsoft report about microarchitectural leaks.

The four bugs do not appear too venomous at face value -- two have medium-severity ratings while the other two are rated "low." However, the low-level nature of the exploit's impact has nonetheless led Trend Micro and CrowdStrike to assess the threat as "critical."

The reasons for the low severity scores are the high degree of complexity involved in a successful attack -- AMD said it could only be carried out by an attacker able to run arbitrary code on a target machine. It affects AMD processors (desktop, mobile and datacenter models), including 3rd gen and 4th gen EPYC chips -- the full list is here.

A federal appeals court struck down a "click-to-cancel" rule that would have required companies to make cancelling services as easy as signing up. The Federal Trade Commission rule was scheduled to take effect on July 14 but was vacated by the US Court of Appeals for the 8th Circuit. The three-judge panel ruled unanimously that the Biden-era FTC failed to follow the full rulemaking process required under US law.

The FTC is required to conduct a preliminary regulatory analysis when a rule has an estimated annual economic effect of $100 million or more. The FTC initially estimated the rule would not reach that threshold, but an administrative law judge later found compliance costs would exceed $100 million. Despite this finding, the FTC did not conduct the required preliminary analysis.

Nvidia shares jumped more than 2% on Wednesday, topping a $4 trillion market cap for the first time as investors scooped stock in the tech giant building the hardware for the generative AI boom. From a report: The chipmaker is the first company to ever achieve this market value. Nvidia is the world's most valuable company, surpassing Microsoft and Apple, both of which hit the $3 trillion mark before Nvidia. Microsoft is also one of Nvidia's biggest and most important customers. The California-based company, which was founded in 1993, first passed the $2 trillion mark in February 2024, and surpassed $3 trillion in June.

Nvidia has profited heavily off of growing demand for artificial intelligence hardware and chips since the launch of ChatGPT in late 2022. The company has positioned itself as the decisive leader in the creating the graphics processing units that power large language models.

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 Wired: Trey had struggled with alcoholism for 15 years, eventually drinking heavily each night before quitting in December. But staying sober was a struggle for the 36-year-old first responder from Atlanta, who did not wish to use his real name due to professional concerns. Then he discovered Alterd, an AI-powered journaling app that invites users to "explore new dimensions" geared towards psychedelics and cannabis consumers, meditators, and alcohol drinkers. In April, using the app as a tripsitter -- a term for someone who soberly watches over another while they trip on psychedelics to provide reassurance and support -- he took a huge dose of 700 micrograms of LSD. (A typicalrecreational doseis considered to be 100 micrograms.) "I went from craving compulsions to feeling true freedom and not needing or wanting alcohol," he says.

He recently asked the app's "chat with your mind" function how he had become more wise through all his AI-assisted psychedelic trips. It responded: "I trust my own guidance now, not just external rules or what others think. I'm more creative, less trapped by fear, and I actually live by my values, not just talk about them. The way I see, reflect, and act in the world is clearer and more grounded every day." "It's almost like your own self that you're communicating with," says Trey, adding he's tripped with his AI chatbot about a dozen times since April. "It's like your best friend. It's kind of crazy." The article mentions several different chatbot tools and AI systems that are being used for psychedelic therapy.

ChatGPT: "Already, many millions of people are using ChatGPT on a daily basis, and the developments may have helped democratize access to psychotherapy-style guidance, albeit in a dubious Silicon Valley style with advice that is often flush with untruths," reports Wired. The general-purpose AI chatbot is being used for emotional support, intention-setting, and even real-time guidance during psychedelic trips. While not designed for therapy, it has been used informally as a trip companion, offering customized music playlists, safety reminders, and existential reflections. Experts caution that its lack of emotional nuance and clinical oversight poses significant risks during altered states.

Alterd: Alterd is a personalized AI journal app that serves as a reflective tool by analyzing a user's entries, moods, and behavior patterns. Its "mind chat" function acts like a digital subconscious, offering supportive insights while gently confronting negative habits like substance use. Users credit it with deepening self-awareness and maintaining sobriety, particularly in the context of psychedelic-assisted growth.

Mindbloom's AI Copilot: Integrated into Mindbloom's at-home ketamine therapy program, the AI copilot helps clients set pretrip intentions, process post-trip emotions, and stay grounded between sessions. It generates custom reflections and visual art based on voice journals, aiming to enhance the therapeutic journey even outside of human-guided sessions. The company plans to evolve the tool into a real-time, intelligent assistant capable of interacting more dynamically with users.

Orb AI/Shaman Concepts (Speculative): Conceptual "orb" interfaces imagine an AI-powered, shaman-like robot facilitating various aspects of psychedelic therapy, from intake to trip navigation. While still speculative, such designs hint at a future where AI plays a central, embodied role in guiding altered states. These ideas raise provocative ethical and safety questions about replacing human presence with machines in deeply vulnerable psychological contexts.

AI in Virtual Reality and Brain Modulation Systems: Researchers are exploring how AI could coordinate immersive virtual reality environments and brain-modulating devices to enhance psychedelic therapy. These systems would respond to real-time emotional and physiological signals, using haptic suits and VR to deepen and personalize the psychedelic experience. Though still in the conceptual phase, this approach represents the fusion of biotech, immersive tech, and AI in pursuit of therapeutic transformation.

Wimbledon's use of AI-powered electronic line-calling has sparked backlash from players who say the system made several incorrect calls, affecting match outcomes and creating accessibility issues. "This is the first year the prestigious tennis tournament, which is still ongoing, replaced human line judges, who determine if a ball is in or out, with an electronic line calling system (ELC)," notes TechCrunch. From the report: British tennis star Emma Raducanu called out the technology for missing a ball that her opponent hit out, but instead had to be played as if it were in. On a television replay, the ball indeed looked out, the Telegraph reported. Jack Draper, the British No. 1, also said he felt some line calls were wrong, saying he did not think the AI technology was "100 percent accurate."

Player Ben Shelton had to speed up his match after being told that the new AI line system was about to stop working because of the dimming sunlight. Elsewhere, players said they couldn't hear the new automated speaker system, with one deaf player saying that without the human hand signals from the line judges, she was unable to tell when she won a point or not.

The technology also met a blip at a key point during a match this weekend between British player Sonay Kartal and the Russian Anastasia Pavlyuchenkova, where a ball went out, but the technology failed to make the call. The umpire had to step in to stop the rally and told the players to replay the point because the ELC failed to track the point. Wimbledon later apologized, saying it was a "human error," and that the technology was accidentally shut off during the match. It also adjusted the technology so that, ideally, the mistake could not be repeated.

Debbie Jevans, chair of the All England Club, the organization that hosts Wimbledon, hit back at Raducanu and Draper, saying, "When we did have linesmen, we were constantly asked why we didn't have electronic line calling because it's more accurate than the rest of the tour."

An anonymous reader quotes a report from Ars Technica: Epic Games, buoyed by the massive success of Fortnite, has spent the last few years throwing elbows in the mobile industry to get its app store on more phones. It scored an antitrust win against Google in late 2023, and the following year it went after Samsung for deploying "Auto Blocker" on its Android phones, which would make it harder for users to install the Epic Games Store. Now, the parties have settled the case just days before Samsung will unveil its latest phones.

The Epic Store drama began several years ago when the company defied Google and Apple rules about accepting outside payments in the mega-popular Fortnite. Both stores pulled the app, and Epic sued. Apple emerged victorious, with Fortnite only returning to the iPhone recently. Google, however, lost the case after Epic showed it worked behind the scenes to stymie the development of app stores like Epic's. Google is still working to avoid penalties in that long-running case, but Epic thought it smelled a conspiracy last year. It filed a similar lawsuit against Samsung, accusing it of implementing a feature to block third-party app stores. The issue comes down to the addition of a feature to Samsung phones called Auto Blocker, which is similar to Google's new Advanced Protection in Android 16. It protects against attacks over USB, disables link previews, and scans apps more often for malicious activity. Most importantly, it blocks app sideloading. Without sideloading, there's no way to install the Epic Games Store or any of the content inside it.

Auto Blocker is enabled by default on Samsung phones, but users can opt out during setup. Epic claimed in its suit that the sudden inclusion of this feature was a sign that Google was working with Samsung to stand in the way of alternative app stores again. Epic has apparently gotten what it wanted from Samsung -- CEO Tim Sweeney has announced that Epic is dropping the case in light of a new settlement. Sweeney said Samsung "will address Epic's concerns," without elaborating on the details. Samsung may stop making Auto Blocker the default or create a whitelist of apps, like the Epic Games Store, that can bypass Auto Blocker. Another possibility is that Epic and select third-party stores are granted special access while Auto Blocker remains on for others, balancing security and openness.

A "more interesting outcome," according to Ars, would be for Samsung to pre-install the Epic Games Store on its new phones.

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.

China "is pouring money into building an AI supply chain with as little reliance on the U.S. as possible," the Wall Street Journal noted this weekend.

But what does that look like? The New York Times visits Liangzhu, "the coder 'village' at the heart of China's AI frenzy... a quiet suburb of the southern Chinese city of Hangzhou... As China faces off with the United States over tech primacy, Hangzhou has become the centre of China's AI frenzy," with its proximity to tech companies like Alibaba and DeepSeek..." In Liangzhu, many engineers said they were killing time until they could create their own startups, waiting out noncompete agreements they had signed at bigger companies like ByteDance... But some said the government support for Hangzhou's tech scene had scared off some investors. Several company founders, who asked not to be named so they could discuss sensitive topics, said it was difficult for them to attract funds from foreign venture capital firms, frustrating their ambitions to grow outside China. The nightmare situation, they said, would be to end up like ByteDance, the Chinese parent of TikTok, whose executives have been questioned before Congress about the company's ties to the Chinese government. Founders described choosing between two paths for their companies' growth: Take government funding and tailor their product to the Chinese market, or raise enough money on their own to set up offices in a country like Singapore to pitch foreign investors. For most, the first was the only feasible option.

Another uncertainty is access to the advanced computer chips that power artificial intelligence systems. Washington has spent years trying to prevent Chinese companies from buying these chips, and Chinese companies like Huawei and Semiconductor Manufacturing International Corp. are racing to produce their own. So far, the Chinese-made chips work well enough to help companies like ByteDance provide some of their AI services in China. Many Chinese companies have created stockpiles of Nvidia chips despite Washington's controls. But it is not clear how long that supply will last, or how quickly China's chipmakers can catch up to their American counterparts...

Liangzhu villagers have been hosting film nights. They had recently gathered to watch "The Matrix." Afterward, they decided the movie should be required viewing, Lin said. Its theme — people finding their way out of a vast system controlling society — provided spot-on inspiration. Aspiring founders in Liangzhu, even those who did not go to top universities, believe they could start the next world-changing tech company, said Felix Tao [a 36-year-old former Facebook and Alibaba employee.] "Many of them are super brave to make a choice to explore their own way, because in China that is not the common way to live your life."

Google DeepMind's chief business officer says Alphabet's drug-discovery company Isomorphic Labs "is preparing to launch human trials of AI-designed drugs," according to a report in Fortune, "pairing cutting-edge AI with pharma veterans to design medicines faster, cheaper, and more accurately." "There are people sitting in our office in King's Cross, London, working, and collaborating with AI to design drugs for cancer," said Colin Murdoch [DeepMind's chief business officer and president of Isomorphic Labs]. "That's happening right now."

After years in development, Murdoch says human clinical trials for Isomorphic's AI-assisted drugs are finally in sight. "The next big milestone is actually going out to clinical trials, starting to put these things into human beings," he said. "We're staffing up now. We're getting very close."

The company, which was spun out of DeepMind in 2021, was born from one of DeepMind's most celebrated breakthroughs, AlphaFold, an AI system capable of predicting protein structures with a high level of accuracy. Interactions of AlphaFold progressed from being able to accurately predict individual protein structures to modeling how proteins interact with other molecules like DNA and drugs. These leaps made it far more useful for drug discovery, helping researchers design medicines faster and more precisely, turning the tool into a launchpad for a much larger ambition... In 2024, the same year it released AlphaFold 3, Isomorphic signed major research collaborations with pharma companies Novartis and Eli Lilly. A year later, in April 2025, Isomorphic Labs raised $600 million in its first-ever external funding round, led by Thrive Capital. The deals are part of Isomorphic's plan to build a "world-class drug design engine..."

Today, pharma companies often spend millions attempting to bring a single drug to market, sometimes with just a 10% chance of success once trials begin. Murdoch believes Isomorphic's tech could radically improve those odds. "We're trying to do all these things: speed them up, reduce the cost, but also really improve the chance that we can be successful," he says. He wants to harness AlphaFold's technology to get to a point where researchers have 100% conviction that the drugs they are developing are going to work in human trials. "One day we hope to be able to say — well, here's a disease, and then click a button and out pops the design for a drug to address that disease," Murdoch said. "All powered by these amazing AI tools."

"A growing group of young, college-educated Americans are struggling to find work," reports the Minnesota Star Tribune, "as the unemployment rate for recent graduates outpaces overall unemployment for the first time in decades." While the national unemployment rate has hovered around 4% for months, the rate for 20-something degree holders is nearly 6%, data from the Federal Reserve Bank of New York shows. [And for young workers (ages 22 to 27) without a degree it's 6.9%.] The amount of time young workers report being unemployed is also on the rise.

Economists attribute some of the shift to normal post-pandemic cooling of labor market, which is making it harder for job-seekers of all ages to land a gig. But there's also widespread economic uncertainty causing employers to pull back on hiring and signs AI could replace entry-level positions....

Business schools nationwide were among the first to see the labor market shift in early 2023 as tech industry cuts bled into other sectors, said Maggie Tomas, Business Career Center executive director at Carlson. Tariffs and stock market volatility have only added to the uncertainty, she said. In 2022, when workers had their pick of jobs, 98% of full-time Carlson MBA graduates had a job offer in a field related to their degree within three months of graduation, according to the school. That number, which Tomas said is usually 90% or higher, dropped to 89% in 2023 and 83% in 2024.

Part of the challenge, she said, is recent graduates are now competing with more experienced workers who are re-entering the market amid layoffs and hiring freezes... After doing a lot of hiring in 2021 and 2022, Securian Financial in St. Paul is prioritizing internal hires, said Human Resources Director Leah Henrikson. Many entry-level roles have gone to current employees looking for a change, she said. "We are still looking externally, it's just the folks that we are looking for externally tend ... to fulfill a specific skill gap we may have at that moment in time," Henrikson said.

China "is pouring money into building an AI supply chain with as little reliance on the U.S. as possible," reports the Wall Street Journal.

And now Chinese AI companies "are loosening the U.S.'s global stranglehold on AI," reports the Wall Street Journal, "challenging American superiority and setting the stage for a global arms race in the technology." In Europe, the Middle East, Africa and Asia, users ranging from multinational banks to public universities are turning to large language models from Chinese companies such as startup DeepSeek and e-commerce giant Alibaba as alternatives to American offerings such as ChatGPT... Saudi Aramco, the world's largest oil company, recently installed DeepSeek in its main data center. Even major American cloud service providers such as Amazon Web Services, Microsoft and Google offer DeepSeek to customers, despite the White House banning use of the company's app on some government devices over data-security concerns.

OpenAI's ChatGPT remains the world's predominant AI consumer chatbot, with 910 million global downloads compared with DeepSeek's 125 million, figures from researcher Sensor Tower show. American AI is widely seen as the industry's gold standard, thanks to advantages in computing semiconductors, cutting-edge research and access to financial capital. But as in many other industries, Chinese companies have started to snatch customers by offering performance that is nearly as good at vastly lower prices. A study of global competitiveness in critical technologies released in early June by researchers at Harvard University found China has advantages in two key building blocks of AI, data and human capital, that are helping it keep pace...

Leading Chinese AI companies — which include Tencent and Baidu — further benefit from releasing their AI models open-source, meaning users are free to tweak them for their own purposes. That encourages developers and companies globally to adopt them. Analysts say it could also pressure U.S. rivals such as OpenAI and Anthropic to justify keeping their models private and the premiums they charge for their service... On Latenode, a Cyprus-based platform that helps global businesses build custom AI tools for tasks including creating social-media and marketing content, as many as one in five users globally now opt for DeepSeek's model, according to co-founder Oleg Zankov. "DeepSeek is overall the same quality but 17 times cheaper," Zankov said, which makes it particularly appealing for clients in places such as Chile and Brazil, where money and computing power aren't as plentiful...

The less dominant American AI companies are, the less power the U.S. will have to set global standards for how the technology should be used, industry analysts say. That opens the door for Beijing to use Chinese models as a Trojan horse for disseminating information that reflects its preferred view of the world, some warn.... The U.S. also risks losing insight into China's ambitions and AI innovations, according to Ritwik Gupta, AI policy fellow at the University of California, Berkeley. "If they are dependent on the global ecosystem, then we can govern it," said Gupta. "If not, China is going to do what it is going to do, and we won't have visibility."
The article also warns of other potential issues:

• "Further down the line, a breakdown in U.S.-China cooperation on safety and security could cripple the world's capacity to fight future military and societal threats from unrestrained AI."

• "The fracturing of global AI is already costing Western makers of computer chips and other hardware billions in lost sales... Adoption of Chinese models globally could also mean lost market share and earnings for AI-related U.S. firms such as Google and Meta."

The Free Software Foundation's services face "ongoing (and increasing) distributed denial of service (DDoS) attacks," senior systems administrator Ian Kelling wrote Wednesday. But "Even though we are under active attack, gnu.org, ftp.gnu.org, and savannah.gnu.org are up with normal response times at the moment, and have been for the majority of this week, largely thanks to hard work from the Savannah hackers Bob, Corwin, and Luke who've helped us, your sysadmins."

"We've shielded these sites for almost a full year of intense attacks now, and we'll keep on fighting these attacks for as long as they continue." Our infrastructure has been under attack since August 2024. Large Language Model (LLM) web crawlers have been a significant source of the attacks, and as for the rest, we don't expect to ever know what kind of entity is targeting our sites or why.

- In the fall Bulletin, we wrote about the August attack on gnu.org. That attack continues, but we have mitigated it. Judging from the pattern and scope, the goal was likely to take the site down and it was not an LLM crawler. We do not know who or what is behind the attack, but since then, we have had more attacks with even higher severity.

- To begin with, GNU Savannah, the FSF's collaborative software development system, was hit by a massive botnet controlling about five million IPs starting in January. As of this writing, the attack is still ongoing, but the botnet's current iteration is mitigated. The goal is likely to build an LLM training dataset. We do not know who or what is behind this.

- Furthermore, gnu.org and ftp.gnu.org were targets in a new DDoS attack starting on May 27, 2025. Its goal seems to be to take the site down. It is currently mitigated. It has had several iterations, and each has caused some hours of downtime while we figured out how to defend ourselves against it. Here again, the goal was likely to take our sites down and we do not know who or what is behind this.

- In addition, directory.fsf.org, the server behind the Free Software Directory, has been under attack since June 18. This likely is an LLM scraper designed to specifically target Media Wiki sites with a botnet. This attack is very active and now partially mitigated...

Even though we are under active attack, gnu.org, ftp.gnu.org, and savannah.gnu.org are up with normal response times at the moment, and have been for the majority of this week, largely thanks to hard work from the Savannah hackers Bob, Corwin, and Luke who've helped us, your sysadmins. We've shielded these sites for almost a full year of intense attacks now, and we'll keep on fighting these attacks for as long as they continue.
The full-time FSF tech staff is just two systems administrators, "and we currently lack the funds to hire more tech staff any time soon," Kelling points out. Kelling titled his post "our small team vs millions of bots," suggesting that supporters purchase FSF memberships "to improve our staffing situation... Can you join us in our crucial work to guard user freedom and defy dystopia?"

Kelling also points out they're also facing "run-of-the-mill standard crawlers, SEO crawlers, crawlers pretending to be normal users, crawlers pretending to be other crawlers, uptime systems, vulnerability scanners, carrier-grade network address translation, VPNs, and normal browsers hitting our sites..."

"Some of the abuse is not unique to us, and it seems that the health of the web has some serious problems right now."

"A computer science degree used to be a golden ticket to the promised land of jobs," a college senior tells the New York Times. But "That's no longer the case."

The article notes that in the last three years there's been a 65% drop from companies seeking workers with two years of experience or less (according to an analysis by technology research/education organization CompTIA), with tech companies "relying more on AI for some aspects of coding, eliminating some entry-level work."

So what do college professors teach when AI "is coming fastest and most forcefully to computer science"? Computer science programs at universities across the country are now scrambling to understand the implications of the technological transformation, grappling with what to keep teaching in the AI era. Ideas range from less emphasis on mastering programming languages to focusing on hybrid courses designed to inject computing into every profession, as educators ponder what the tech jobs of the future will look like in an AI economy... Some educators now believe the discipline could broaden to become more like a liberal arts degree, with a greater emphasis on critical thinking and communication skills.

The National Science Foundation is funding a program, Level Up AI, to bring together university and community college educators and researchers to move toward a shared vision of the essentials of AI education. The 18-month project, run by the Computing Research Association, a research and education nonprofit, in partnership with New Mexico State University, is organising conferences and roundtables and producing white papers to share resources and best practices. The NSF-backed initiative was created because of "a sense of urgency that we need a lot more computing students — and more people — who know about AI in the workforce," said Mary Lou Maher, a computer scientist and a director of the Computing Research Association.

The future of computer science education, Maher said, is likely to focus less on coding and more on computational thinking and AI literacy. Computational thinking involves breaking down problems into smaller tasks, developing step-by-step solutions and using data to reach evidence-based conclusions. AI literacy is an understanding — at varying depths for students at different levels — of how AI works, how to use it responsibly and how it is affecting society. Nurturing informed skepticism, she said, should be a goal.
The article raises other possibilities. Experts also suggest the possibility of "a burst of technology democratization as chatbot-style tools are used by people in fields from medicine to marketing to create their own programs, tailored for their industry, fed by industry-specific data sets." Stanford CS professor Alex Aiken even argues that "The growth in software engineering jobs may decline, but the total number of people involved in programming will increase."

Last year, Carnegie Mellon actually endorsed using AI for its introductory CS courses. The dean of the school's undergraduate programs believes that coursework "should include instruction in the traditional basics of computing and AI principles, followed by plenty of hands-on experience designing software using the new tools."

Interesting Engineering reports: Astral Systems, a UK-based private commercial fusion company, has claimed to have become the first firm to successfully breed tritium, a vital fusion fuel, using its own operational fusion reactor. This achievement, made with the University of Bristol, addresses a significant hurdle in the development of fusion energy....

Scientists from Astral Systems and the University of Bristol produced and detected tritium in real-time from an experimental lithium breeder blanket within Astral's multi-state fusion reactors. "There's a global race to find new ways to develop more tritium than what exists in today's world — a huge barrier is bringing fusion energy to reality," said Talmon Firestone, CEO and co-founder of Astral Systems. "This collaboration with the University of Bristol marks a leap forward in the search for viable, greater-than-replacement tritium breeding technologies. Using our multi-state fusion technology, we are the first private fusion company to use our reactors as a neutron source to produce fusion fuel."

Astral Systems' approach uses its Multi-State Fusion (MSF) technology. The company states this will commercialize fusion power with better performance, efficiency, and lower costs than traditional reactors. Their reactor design, the result of 25 years of engineering and over 15 years of runtime, incorporates recent understandings of stellar physics. A core innovation is lattice confinement fusion (LCF), a concept first discovered by NASA in 2020. This allows Astral's reactor to achieve solid-state fuel densities 400 million times higher than those in plasma. The company's reactors are designed to induce two distinct fusion reactions simultaneously from a single power input, with fusion occurring in both plasma and a solid-state lattice.
The article includes this quote from professor Tom Scott, who led the University of Bristol's team, supported by the Royal Academy of Engineering and UK Atomic Energy Authority. "This landmark moment clearly demonstrates a potential path to scalable tritium production in the future and the capability of Multi-State Fusion to produce isotopes in general."

And there's also this prediction from the company's web site: "As we progress the fusion rate of our technology, aiming to exceed 10 trillion DT fusions per second per system, we unlock a wide range of applications and capabilities, such as large-scale medical isotope production, fusion neutron materials damage testing, transmutation of existing nuclear waste stores, space applications, hybrid fusion-fission power systems, and beyond."
"Scientists everywhere are racing to develop this practically limitless form of energy," write a climate news site called The Cooldown. (Since in theory nuclear fusion "has an energy output four times higher than that of fission, according to the International Atomic Energy Agency.")

Thanks to long-time Slashdot reader fahrbot-bot for sharing the news.

We're living in a new world now — one where it's an AI-powered penetration tester that "now tops an eminent US security industry leaderboard that ranks red teamers based on reputation." CSO Online reports: On HackerOne, which connects organizations with ethical hackers to participate in their bug bounty programs, "Xbow" scored notably higher than 99 other hackers in identifying and reporting enterprise software vulnerabilities. It's a first in bug bounty history, according to the company that operates the eponymous bot...

Xbow is a fully autonomous AI-driven penetration tester (pentester) that requires no human input, but, its creators said, "operates much like a human pentester" that can scale rapidly and complete comprehensive penetration tests in just a few hours. According to its website, it passes 75% of web security benchmarks, accurately finding and exploiting vulnerabilities.

Xbow submitted nearly 1,060 vulnerabilities to HackerOne, including remote code execution, information disclosures, cache poisoning, SQL injection, XML external entities, path traversal, server-side request forgery (SSRF), cross-site scripting, and secret exposure. The company said it also identified a previously unknown vulnerability in Palo Alto's GlobalProtect VPN platform that impacted more than 2,000 hosts. Of the vulnerabilities Xbow submitted over the last 90 days, 54 were classified as critical, 242 as high and 524 as medium in severity. The company's bug bounty programs have resolved 130 vulnerabilities, and 303 are classified as triaged.

Notably, though, roughly 45% of the vulnerabilities it found are still awaiting resolution, highlighting the "volume and impact of the submissions across live targets," Nico Waisman, Xbow's head of security, wrote in a blog post this week... To further hone the technology, the company developed "validators," — automated peer reviewers that confirm each uncovered vulnerability, Waisman explained.
"As attackers adopt AI to automate and accelerate exploitation, defenders must meet them with even more capable systems," XBOW's CEO said this week, as the company raised $75 million in Series B funding to grow its platform, bringing its total funding to $117 million. Help Net Security reports: With the new funding, XBOW plans to grow its engineering team and expand its go-to-market efforts. The product is now generally available, and the company says it is working with large banks, tech firms, and other organizations that helped shape the platform during its early testing phase. XBOW's long-term goal is to help security teams stay ahead of adversaries using advanced automation. As attackers increasingly turn to AI, the company argues that defenders will need equally capable systems to match their speed and sophistication.

Valve has achieved near-total dominance of PC gaming distribution through Steam, but the victory appears to have left the company adrift, Financial Times argues. The platform controls an estimated 70% of PC game sales while generating billions in revenue, yet Valve releases major new games at what observers call a "glacial pace."

Founder Gabe Newell has largely retreated from the company's operations, reportedly living at sea on one of his five ships and pursuing side projects like brain-computer interface startup Starfish Neuroscience. The much-anticipated third Half-Life game became "the video game equivalent of Samuel Beckett's Godot" before being quietly cancelled.

Attempts to challenge Steam have failed repeatedly. Epic Games Store, powered by Fortnite's success, "has failed to really impact Steam in any meaningful way," according to industry analysts. Microsoft runs what analysts describe as a "somewhat unambitious store," while EA shut down its Origin launcher earlier this year. Gaming analyst Michael Pachter notes that major tech companies could displace Valve "but nobody cares" enough to mount a serious challenge.

Court documents suggest Steam's revenues will exceed $10 billion next year, leaving Valve with unprecedented profits but unclear direction for a company that appears to have run out of worlds to conquer.