It's "a milestone for scalable quantum technologies," according to the announcement from Boston University. Scientists from Boston University, UC Berkeley, and Northwestern University "reported the world's first electronic-photonic-quantum system on a chip, according to a study published in Nature Electronics."

Quantum computing is on "a decades-long path from concept to reality," says Milos PopoviÄ, associate professor of electrical and computer engineering at BU and a senior author on the study. "This is a small step on that path — but an important one, because it shows we can build repeatable, controllable quantum systems in commercial semiconductor foundries." The system combines quantum light sources and stabilizing electronics using a standard 45-nanometer semiconductor manufacturing process to produce reliable streams of correlated photon pairs (particles of light) — a key resource for emerging quantum technologies. The advance paves the way for mass-producible "quantum light factory" chips and large-scale quantum systems built from many such chips working together...

Just as electronic chips are powered by electric currents, and optical communication links by laser light, future quantum technologies will require a steady stream of quantum light resource units to perform their functions. To provide this, the researchers' work created an array of "quantum light factories" on a silicon chip, each less than a millimeter by a millimeter in dimension... "What excites me most is that we embedded the control directly on-chip — stabilizing a quantum process in real time," says Anirudh Ramesh, a PhD student at Northwestern who led the quantum measurements. "That's a critical step toward scalable quantum systems."
Thanks to long-time Slashdot reader fahrbot-bot for sharing the news.

An anonymous reader quotes a report from TechCrunch: California Forever announced on Thursday plans to build a massive manufacturing park called Solano Foundry, the newest addition to its master-planned "utopian" city backed by a group of Silicon Valley billionaires. Solano Foundry is 2,100 acres that can host 40 million square feet of advanced tech manufacturing space. The manufacturing park will be built as part of its planned walkable city with over 175,000 homes, CEO Jan Sramek said at the Reindustrialize conference in Detroit.

Sramek tweeted that U.S. manufacturers can't win by "building factories off of random freeway exits in the middle of nowhere. The best people don't want to work there." This site will offer expedited permitting, transportation for finished goods, and plenty of power from renewable energy, he said. The hope is that it will attract hardware, engineering, and AI talent from relatively nearby Silicon Valley. Solano County is about 40 miles northeast of San Francisco.

Microsoft will stop using China-based engineers to support U.S. military cloud services after a ProPublica report revealed their involvement, prompting backlash from Senator Tom Cotton and a two-week Pentagon review ordered by Defense Secretary Pete Hegseth. In response, Hegseth announced an immediate ban on any Chinese involvement in Department of Defense cloud contracts. Reuters reports: The report detailed Microsoft's use of Chinese engineers to work on U.S. military cloud computing systems under the supervision of U.S. "digital escorts" hired through subcontractors who have security clearances but often lacked the technical skills to assess whether the work of the Chinese engineers posed a cybersecurity threat. [Microsoft] told ProPublica it disclosed its practices to the U.S. government during an authorization process.

On Friday, Microsoft spokesperson Frank Shaw said on social media website X the company changed how it supports U.S. government customers "in response to concerns raised earlier this week ... to assure that no China-based engineering teams are providing technical assistance" for services used by the Pentagon.

Chinese AI startup Moonshot AI has released Kimi K2, a trillion-parameter open-source language model that outperforms GPT-4 in key benchmarks with particularly strong performance on coding and autonomous agent tasks. VentureBeat reports: The new model, called Kimi K2, features 1 trillion total parameters with 32 billion activated parameters in a mixture-of-experts architecture. The company is releasing two versions: a foundation model for researchers and developers, and an instruction-tuned variant optimized for chat and autonomous agent applications. "Kimi K2 does not just answer; it acts," the company stated in its announcement blog. "With Kimi K2, advanced agentic intelligence is more open and accessible than ever. We can't wait to see what you build."

The model's standout feature is its optimization for "agentic" capabilities -- the ability to autonomously use tools, write and execute code, and complete complex multi-step tasks without human intervention. In benchmark tests, Kimi K2 achieved 65.8% accuracy on SWE-bench Verified, a challenging software engineering benchmark, outperforming most open-source alternatives and matching some proprietary models. [...] On LiveCodeBench, arguably the most realistic coding benchmark available, Kimi K2 achieved 53.7% accuracy, decisively beating DeepSeek-V3's 46.9% and GPT-4.1's 44.7%. More striking still: it scored 97.4% on MATH-500 compared to GPT-4.1's 92.4%, suggesting Moonshot has cracked something fundamental about mathematical reasoning that has eluded larger, better-funded competitors.

But here's what the benchmarks don't capture: Moonshot is achieving these results with a model that costs a fraction of what incumbents spend on training and inference. While OpenAI burns through hundreds of millions on compute for incremental improvements, Moonshot appears to have found a more efficient path to the same destination. It's a classic innovator's dilemma playing out in real time -- the scrappy outsider isn't just matching the incumbent's performance, they're doing it better, faster, and cheaper.

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 Guardian: Automated surgery could be trialled on humans within a decade, say researchers, after an AI-trained robot armed with tools to cut, clip and grab soft tissue successfully removed pig gall bladders without human help. The robot surgeons were schooled on video footage of human medics conducting operations using organs taken from dead pigs. In an apparent research breakthrough, eight operations were conducted on pig organs with a 100% success rate by a team led by experts at Johns Hopkins University in Baltimore in the US. [...]

The technology allowing robots to handle complex soft tissues such as gallbladders, which release bile to aid digestion, is rooted in the same type of computerized neural networks that underpin widely used artificial intelligence tools such as Chat GPT or Google Gemini. The surgical robots were slightly slower than human doctors but they were less jerky and plotted shorter trajectories between tasks. The robots were also able to repeatedly correct mistakes as they went along, asked for different tools and adapted to anatomical variation, according to a peer-reviewed paper published in the journal Science Robotics. The authors from Johns Hopkins, Stanford and Columbia universities called it "a milestone toward clinical deployment of autonomous surgical systems." [...]

In the Johns Hopkins trial, the robots took just over five minutes to carry out the operation, which required 17 steps including cutting the gallbladder away from its connection to the liver, applying six clips in a specific order and removing the organ. The robots on average corrected course without any human help six times in each operation. "We were able to perform a surgical procedure with a really high level of autonomy," said Axel Krieger, assistant professor of mechanical engineering at Johns Hopkins. "In prior work, we were able to do some surgical tasks like suturing. What we've done here is really a full procedure. We have done this on eight gallbladders, where the robot was able to perform precisely the clipping and cutting step of gallbladder removal without any human intervention. "So I think it's a really big landmark study that such a difficult soft tissue surgery is possible to do autonomously." Currently, nearly all of the NHS's 70,000 annual robotic surgeries are human-controlled, but the UK plans to expand robot-assisted procedures to 90% within the next decade.

Microsoft is keen to show employees how much AI is transforming its own workplace, even as the company terminates thousands of personnel. From a report: During a presentation this week, Chief Commercial Officer Judson Althoff said artificial intelligence tools are boosting productivity in everything from sales and customer service to software engineering, according to a person familiar with his remarks.

Althoff said AI saved Microsoft more than $500 million last year in its call centers alone and increased both employee and customer satisfaction, according to the person, who requested anonymity to discuss an internal matter. The company is also starting to use AI to handle interactions with smaller customers, Althoff said. This effort is nascent, but already generating tens of millions of dollars, he said.

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..."

"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.

"Microsoft has released the source code for the GitHub Copilot Chat extension for VS Code under the MIT license," reports BleepingComputer. This provides the community access to the full implementation of the chat-based coding assistant, including the implementation of "agent mode," what contextual data is sent to large language models (LLMs), and the design of system prompts. The GitHub repository hosting the code also details telemetry collection mechanisms, addressing long-standing questions about data transparency in AI-assisted coding tools...

As the VS Code team explained previously, shifts in AI tooling landscape like the rapid growth of the open-source AI ecosystem and a more level playing field for all have reduced the need for secrecy around prompt engineering and UI design. At the same time, increased targeting of development tools by malicious actors has increased the need for crowdsourcing contributions to rapidly pinpoint problems and develop effective fixes. Essentially, openness is now considered superior from a security perspective.
"If you've been hesitant to adopt AI tools because you don't trust the black box behind them, this move opensources-github-copilot-chat-vscode/offers something rare these days: transparency," writes Slashdot reader BrianFagioli" Now that the extension is open source, developers can audit how agent mode actually works. You can also dig into how it manages your data, customize its behavior, or build entirely new tools on top of it. This could be especially useful in enterprise environments where compliance and control are non negotiable.

It is worth pointing out that the backend models powering Copilot remain closed source. So no, you won't be able to self host the whole experience or train your own Copilot. But everything running locally in VS Code is now fair game. Microsoft says it is planning to eventually merge inline code completions into the same open source package too, which would make Copilot Chat the new hub for both chat and suggestions.

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.

This week America's Energy Department selected two companies to perform the first nuclear microreactor tests in a new facility in Idaho, saying the tests "will fast-track the deployment of American microreactor technologies... The first fueled reactor experiment will start as early as spring 2026."

The new facility is named DOME (an acronym for Demonstration of Microreactor Experiments), and it leverages existing "to safely house and test fueled reactor experiments, capable of producing up to 20 megawatts of thermal energy," according to a local newspaper. [T]wo companies were competitively selected in 2023 and are currently working through a multi-phase Energy Department authorization process to support the design, fabrication, construction, and testing of each fueled reactor experiment. Both are expected to meet certain milestones throughout the process to maintain their allotted time in DOME and to ensure efficient use of the test bed, according to the release... The department estimates each DOME reactor experiment will operate up to six months, with the DOME test bed currently under construction and on track to receive its first experiment in early 2026... The next call for applications is anticipated to be in 2026.
The site Interesting Engineering calls the lab "a high-stakes proving ground to accelerate the commercialization of advanced microreactors..." Based in Etna, Pennsylvania, Westinghouse will test its eVinci Nuclear Test Reactor, a compact, transportable microreactor that uses advanced heat pipe technology for passive cooling. Designed to deliver 5 megawatts of electricity on sites as small as two acres, eVinci could support applications ranging from remote communities to mining operations and data centers. Meanwhile, Radiant (El Segundo, California) will test its Kaleidos Development Unit, a 1.2 megawatt electric high-temperature gas reactor aimed at replacing diesel generators. Designed to run for five years, Kaleidos is fueled by TRISO fuel particles that could offer reliable backup power for hospitals, military bases, and other critical infrastructure.
Radiant's CEO said "In short order, we will fuel, go critical, and operate, leading to the mass production of portable reactors which will jumpstart American nuclear energy dominance."

Software developer Anton Zaides argues that software engineers have had it easy over the decades and the "best profession" on earth deserved the wake up call. He writes:It's not just one of the hardest times, it's also one of the most exciting.

I'm hugely optimistic about the software engineering career. All those companies started by vibe-coders all around you? Many will succeed, and will need great engineers to scale up.

Some engineers understand this, and use the chance to skill up. To succeed, you'll probably need all the skills of an engineer, some of a PM, and even a bit of design taste. It's not just about shipping code anymore.

But if you work as a code monkey, getting detailed tickets and just shipping them, you've done this to yourself. You won't be needed pretty soon.

I believe there are too many mediocre engineers, but also not enough great ones.

An anonymous reader shares a report: A generation of scientific talent is at the brink of being lost to overseas competitors by the Trump administration's dismantling of the National Science Foundation (NSF), with unprecedented political interference at the agency jeopardizing the future of US industries and economic growth, according to a Guardian investigation.

The gold standard peer-reviewed process used by the NSF to support cutting-edge, high-impact science is being undermined by the chaotic cuts to staff, programs and grants, as well as meddling by the so-called department of government efficiency (Doge), according to multiple current and former NSF employees who spoke with the Guardian.

The scientists warn that Trump's assault on diversity in science is already eroding the quality of fundamental research funded at the NSF, the premier federal investor in basic science and engineering, which threatens to derail advances in tackling existential threats to food, water and biodiversity in the US.

AT&T has launched a new Account Lock feature designed to protect customers from SIM swapping attacks. The security tool, available through the myAT&T app, prevents unauthorized changes to customer accounts including phone number transfers, SIM card changes, billing information updates, device upgrades, and modifications to authorized users.

SIM swapping attacks occur when criminals obtain a victim's phone number through social engineering techniques, then intercept messages and calls to access two-factor authentication codes for sensitive accounts. The attacks have become increasingly common in recent years. AT&T began gradually rolling out Account Lock earlier this year, joining T-Mobile, Verizon, and Google Fi, which already offer similar fraud prevention features.

"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.

An anonymous reader quotes a report from Ars Technica: On Tuesday, software engineer Doug Brown published his discovery of how to trigger a long-known but previously inaccessible Easter egg in the Power Mac G3's ROM: a hidden photo of the development team that nobody could figure out how to display for 27 years. While Pierre Dandumont first documented the JPEG image itself in 2014, the method to view it on the computer remained a mystery until Brown's reverse engineering work revealed that users must format a RAM disk with the text "secret ROM image."

Brown stumbled upon the image while using a hex editor tool called Hex Fiend with Eric Harmon's Mac ROM template to explore the resources stored in the beige Power Mac G3's ROM. The ROM appeared in desktop, minitower, and all-in-one G3 models from 1997 through 1999. "While I was browsing through the ROM, two things caught my eye," Brown wrote. He found both the HPOE resource containing the JPEG image of team members and a suspicious set of Pascal strings in the PowerPC-native SCSI Manager 4.3 code that included ".Edisk," "secret ROM image," and "The Team."

The strings provided the crucial clue Brown needed. After extracting and disassembling the code using Ghidra, he discovered that the SCSI Manager was checking for a RAM disk volume named "secret ROM image." When found, the code would create a file called "The Team" containing the hidden JPEG data. Brown initially shared his findings on the #mac68k IRC channel, where a user named Alex quickly figured out the activation method. The trick requires users to enable the RAM Disk in the Memory control panel, restart, select the RAM Disk icon, choose "Erase Disk" from the Special menu, and type "secret ROM image" into the format dialog. "If you double-click the file, SimpleText will open it," Brown explains on his blog just before displaying the hidden team photo that emerges after following the steps.

36% of all Chinese undergraduate entrants -- about 1.6 million people -- selected engineering degrees in 2022 (the latest year for which data are available), up from 32% in 2010, according to data from China's Ministry of Education. In Britain and America, which have far fewer students to start with, the proportion hovers around 5%.

The surge comes as China's government directs universities to focus on strategic industries and technological bottlenecks. Over 600 Chinese universities now offer undergraduate programs in artificial intelligence, a field the Communist Party vows to dominate by 2030. In 2023, officials started telling universities to overhaul their degree programs, and the education ministry announced an "emergency mechanism" to create degrees more quickly to meet "national priorities." Over half of China's young people now complete some form of higher education through 3,000-odd institutions. Youth unemployment reached 14.9% in May, driving students toward technical fields they believe offer better job prospects.

Salesforce chief executive Marc Benioff said Thursday his company has automated a significant chunk of work with AI, another example of a firm touting labor-replacing potential of the emerging technology. From a report: "AI is doing 30% to 50% of the work at Salesforce now," Benioff said in an interview, pointing at job functions including software engineering and customer service.

[...] Salesforce has said that use of AI internally has allowed it to hire fewer people. The San Francisco-based software company is focused on selling an AI product that promises to handle tasks such as customer service without human supervision. Benioff said that tool has reached about 93% accuracy, including for large customers such as Walt Disney.