"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."

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 Hewlett-Packard Enterprise settled its antitrust case with America's Justice Department, "paving the way for its acquisition of rival kit maker Juniper Networks," reported Telecoms.com: Under the agreement, HPE has agreed to divest its Instant On unit, which sells a range of enterprise-grade Wi-Fi networking equipment for campus and branch deployments. It has also agreed to license Juniper's Mist AIOps source code — a software suite that enables AI-based network automation and management. HPE can live with that, since its primary motivation for buying Juniper is to improve its prospects in an IT networking market dominated by Cisco, where others like Arista and increasingly Nokia and Nvidia are also trying to make inroads.
And after receiving regulatory clearance, HPE "very quickly closed the deal..." reports The Motley Fool. "In the press release heralding the news, the buyer wrote that it "doubles the size of HPE's networking business and provides customers with a comprehensive portfolio of networking solutions." Investors were obviously happy about this, as according to data compiled by S&P Global Market Intelligence the company's stock price ballooned by nearly 16% across the week, largely on the news.... The Justice Department had alleged, in a lawsuit filed in January, that an HPE/Juniper tie-up would essentially result in a duopoly in networking equipment. It claimed that a beefed-up HPE and networking incumbent Cisco would hold more than 70% combined of the domestic market.
Thanks to long-time Slashdot reader AmiMoJo for sharing the news.

Software engineer Sean Goedecke argues that AI coding agents have already been commoditized because they require no special technical advantages, just better base models. He writes: All of a sudden, it's the year of AI coding agents. Claude released Claude Code, OpenAI released their Codex agent, GitHub released its own autonomous coding agent, and so on. I've done my fair share of writing about whether AI coding agents will replace developers, and in the meantime how best to use them in your work. Instead, I want to make what I think is now a pretty firm observation: AI coding agents have no secret sauce.

[...] The reason everyone's doing agents now is the same reason everyone's doing reinforcement learning now -- from one day to the next, the models got good enough. Claude Sonnet 3.7 is the clear frontrunner here. It's not the smartest model (in my opinion), but it is the most agentic: it can stick with a task and make good decisions over time better than other models with more raw brainpower. But other AI labs have more agentic models now as well. There is no moat.

There's also no moat to the actual agent code. It turns out that "put the model in a loop with a 'read file' and 'write file' tool" is good enough to do basically anything you want. I don't know for sure that the closed-source options operate like this, but it's an educated guess. In other words, the agent hackers in 2023 were correct, and the only reason they couldn't build Claude Code then was that they were too early to get to use the really good models.

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.

Newspaper Pakistan Today: In a significant moment for Pakistan's technology sector, Microsoft has officially shut down its operations in the country, concluding a 25-year journey that began with high hopes for digital transformation and global partnership.

The move, confirmed by employees and media sources, marks the quiet departure of the software giant, which had launched its Pakistan presence in June 2000. The last remaining employees were formally informed of the closure in recent days, signalling the end of an era that saw Microsoft play a key role in developing local talent, building enterprise partnerships, and promoting digital literacy across sectors.

An anonymous reader quotes a report from The Guardian: Nearly 1,000 British workers will keep a shorter working week after the latest trial of a four-day week and similar changes to traditional working patterns. All 17 British businesses in a six-month trial of the four-day week said they would continue with an arrangement consisting of either four days a week or nine days a fortnight. All the employees remained on their full salary. The trial was organized by the 4 Day Week Foundation, a group campaigning for more businesses to take up shorter working weeks.

The latest test follows a larger six-month pilot in 2022, involving almost 3,000 employees, which ended in 56 of 61 companies cutting down their hours from a five-day working week. [...] Researchers at Boston College, a US university, said the findings from the latest trial were "extremely positive" for workers. They found that 62% of workers reported that they experienced less burnout during the trial, according to a poll of 89 people. Forty-five percent of those polled said they felt "more satisfied with life."

The 4 Day Week Foundation has run successive trials to gather data and demonstrate how companies can make the switch. In January, the foundation said more than 5,000 people from a previous wave had started the year permanently working a four-day week. Companies involved in the latest trial, which started in November, included charities and professional services firms, with the number of employees at each employer ranging between five and 400. They included the British Society for Immunology and Crate Brewery in Hackney, east London. [...] The small web software company BrandPipe said that the latest trial had been a success for the business, coinciding with increased sales. Geoff Slaughter, BrandPipe's chief executive, said: "The trial's been an overwhelming success because it has been the launchpad for us to consider what constitutes efficiency, and financial performance is double what it was before."

Slaughter added: "If we're going to see it rolled out more substantially across different sectors, there should be incentives for early adopters, because we're creating the blueprint for the future."

Citigroup spent over $9 billion on technology and communications last year, almost a fifth of total operating expenses and a larger proportion than competitors, as the bank works to fix legacy software systems that have produced costly errors including accidentally wiring more than $900 million to Revlon creditors.

The bank has consolidated 12 international sanctions screening systems into one platform, retired 20 cash equities platforms and launched a replacement, and automated high-risk processes where "fat-finger" errors previously occurred. Recent mistakes included crediting one account with $81 trillion after an employee failed to remove zeros from an electronic form and a copy-paste error that almost missent $6 billion.

Ford CEO Jim Farley believes half of all white-collar workers in the U.S. could lose their jobs to AI in the coming years, he said. He joins other executives making similar predictions about AI's impact on employment. "AI will leave a lot of white-collar people behind," he said. From a report: The Ford CEO's comments are among the most pointed to date from a large-company U.S. executive outside of Silicon Valley. His remarks reflect an emerging shift in how many executives explain the potential human cost from the technology. Until now, few corporate leaders have wanted to publicly acknowledge the extent to which white-collar jobs could vanish.

In interviews, CEOs often hedge when asked about job losses, noting that innovation historically creates a range of new roles.

In private, though, CEOs have spent months whispering about how their businesses could likely be run with a fraction of the current staff. Technologies including automation software, AI and robots are being rolled out to make operations as lean and efficient as possible.

Tech companies are paying AI engineers unprecedented salaries as competition for talent intensifies, with some top engineers earning more than $10 million annually and typical packages ranging from $3 million to $7 million. OpenAI told staff this week it is seeking "creative ways to recognize and reward top talent" after losing key employees to rivals, despite offering salaries near the top of the market.

The move followed OpenAI CEO Sam Altman's claim that Meta had promised $100 million sign-on bonuses to the company's most high-profile AI engineers. Mark Chen, OpenAI's chief research officer, sent an internal memo saying he felt "as if someone has broken into our home and stolen something" after recent departures.

AI engineer salaries have risen approximately 50% since 2022, with mid-to-senior level research scientists now earning $500,000 to $2 million at major tech companies, compared to $180,000 to $220,000 for senior software engineers without AI experience.

An anonymous reader quotes a report from Tom's Hardware: Microsoft EVP Yusuf Mehdi said in a blog post last week that Windows powers over a billion active devices globally. This might sound like a healthy number, but according to ZDNET, the Microsoft annual report for 2022 said that more than 1.4 billion devices were running Windows 10 or 11. Given that these documents contain material information and have allegedly been pored over by the tech giant's lawyers, we can safely assume that Windows' user base has been quietly shrinking in the past three years, shedding around 400 million users.

This is probably why Microsoft has been aggressively pushing users to upgrade to Windows 11 after the previous version of the OS loses support -- so that its users would install the latest version of Windows on their current system (or get a new PC if their system is incapable of running the latest version). Although macOS is a threat to Windows, especially with the launch of Apple Silicon, we cannot say that those 400 million users all went and bought a MacBook. That's because, as far back as 2023, Mac sales have also been dropping, with Statista reporting the computer line, once holding more than 85% of the company revenue, now making up just 7.7%. The shrinking Windows user base can be attributed to a combination of factors -- a major one being the global move toward a mobile-first world, where smartphones and tablets are increasingly replacing traditional PCs for everyday computing needs.

At the same time, Microsoft's strict hardware requirements for Windows 11 have alienated users with perfectly functional older machines, prompting some to stick with unsupported versions or abandon Windows entirely. Additionally, many users find Windows 11 less intuitive than its predecessor and are frustrated by Microsoft's push toward data collection and Apple-style design changes.

HP is developing a "PCFax" system similar to CarFax for used cars that securely collects and stores detailed device usage and health data at the firmware level to extend the life of PCs and reduce e-waste. A team of HP experts outlines the system in a recent IEEE Spectrum report: The secure telemetry protocol we've developed at HP works as follows. We gather the critical hardware and sensor data and store it in a designated area of the SSD. This area is write-locked, meaning only authorized firmware components can write to it, preventing accidental modification or tampering. That authorized firmware component we us is the Endpoint Security Controller, a dedicated piece of hardware embedded in business class HP PCs. It plays a critical role in strengthening platform-level security and works independently from the main CPU to provide foundational protection.

The endpoint security controller establishes a secure session by retaining the secret key within the controller itself. This mechanism enables read data protection on the SSD -- where telemetry and sensitive data are stored -- by preventing unauthorized access, even if the operating system is reinstalled or the system environment is otherwise altered. Then, the collected data is recorded in a timestamped file, stored within a dedicated telemetry log on the SSD. Storing these records on the SSD has the benefit of ensuring the data is persistent even if the operating system is reinstalled or some other drastic change in software environment occurs. The telemetry log employs a cyclic buffer design, automatically overwriting older entries when the log reaches full capacity. Then, the telemetry log can be accessed by authorized applications at the operating system level.

The telemetry log serves as the foundation for a comprehensive device history report. Much like a CarFax report for used cars, this report, which we call PCFax, will provide both current users and potential buyers with crucial information. The PCFax report aggregates data from multiple sources beyond just the on-device telemetry logs. It combines the secure firmware-level usage data with information from HP's factory and supply chain records, digital services platforms, customer support service records, diagnostic logs, and more. Additionally, the system can integrate data from external sources including partner sales and service records, refurbishment partner databases, third-party component manufacturers like Intel, and other original equipment manufacturers. This multi-source approach creates a complete picture of the device's entire lifecycle, from manufacturing through all subsequent ownership and service events.

Mitch Kapor dropped out of MIT's business school in 1979 — and had soon cofounded the pioneering spreadsheet company Lotus. He also cofounded the EFF, was the founding chair of the Mozilla Foundation, and is now a billionaire (and an VC investor at Kapor Capital).

45 years later, when the 74-year-old was invited to give a guest lecture at MIT's business school last year by an old friend (professor Bill Aulet), he'd teased the billionaire that "there's only one problem, Mitch, I see here you haven't graduated from MIT."

The Boston Globe tells the story... After graduating from Yale in 1971 and bouncing around for almost a decade as "a lost and wandering soul," working as a disc jockey, a Transcendental Meditation teacher, and a mental health counselor, Kapor said he became entranced by the possibilities of the new Apple II personal computer. He started writing programs to solve statistics problems and analyze data, which caught the attention of Boston-area software entrepreneurs Dan Bricklin and Bob Frankston, who co-created VisiCalc, one of the first spreadsheet programs. They introduced Kapor to their California-based software publisher, Personal Software.

Midway through Kapor's 12-month master's program, the publisher offered him the then-princely sum of about $20,000 if he'd adapt his stats programs to work with VisiCalc. To finish the project, he took a leave from MIT, but then he decided to leave for good to take a full-time job at Personal. Comparing his decision to those of other famed tech founder dropouts, like Bill Gates, Kapor said he felt the startup world was calling to him. "It was just so irresistible," he said. "It felt like I could not let another moment go by without taking advantage of this opportunity or the window would close...."

When Aulet made his joke on the phone call with his old friend in 2024, Kapor had largely retired from investing and realized that he wanted to complete his degree. "I don't know what prompted me, but it started a conversation" with MIT about the logistics of finally graduating, Kapor said. By the time Kapor gave the lecture in March, Aulet had discovered Kapor was only a few courses short. MIT does not give honorary degrees, but school officials allow students to make up for missing classes with an independent study and a written thesis. Kapor decided to write a paper on the roots and development of his investing strategy. "It's timely, it's highly relevant, and I have things to say," he said.

One 77-page thesis later, Kapor, donning a cap and gown, finally received his master's degree in May, at a ceremony in the Hyatt Regency Hotel in Cambridge, not far from where he founded Lotus.

The Free Software Foundation is a non-profit — and they're having some fun with it.

They've just announced a summer fundraiser, "and that means the GNU Press Shop is open!" From now until July 28, you can buy your FSF gear at the GNU Press shop. First and foremost, there's the launch of the FSF's fortieth anniversary shirt in a summery yellow. We're taking orders for a limited time for these (until July 28), and then printing them — you should have yours on your shoulders a few weeks after the shop closes.

We've also restocked some favorites in the shop:

- A fresh batch of the popular Ada & Zangemann: A Tale of Software, Skateboards, and Raspberry Ice Cream book by Matthias Kirschner from the Free Software Foundation Europe (FSFE). This tale of software, skateboards, and raspberry ice cream teaches kids how neat and exciting it is having control over your software, a perfect fun summer read!

- Reading is hard in the glaring sun, so shade your eyes with a freshly restocked GNU baseball cap in pitch black with brilliant gold embroidery. These are great for wearing anywhere, especially to free software events.

- For privacy, protect yourself from surveillance with ease and panache with this slick webcam guard.

We also hope you'll consider becoming an FSF associate member, putting yourself at the heart of our commitment to ensuring a world where all software respects our freedom and dignity. Plus, you'll help us reach our summer fundraising goal of 200 new associate members before July 11, and of course you'll also receive a 20% discount at the GNU Press Shop. A note about shipping: the GNU Press shop opens periodically, and we collect all orders during this time and schedule orders to be sent out on specific shipping dates with the help of volunteers. We will be doing the shipping at the end of the FSF's fundraiser, which means there will be a delay between placing your order and receiving it...

If you happen to be in the Boston area in July, and would like to support the FSF's work, we are looking for volunteers to help pack and ship our orders.
Also on sale are the book "Free as in Freedom 2.0" (Richard Stallman's 2010 revision of the 2002 biography by Sam Williams with extensive additional commentary) and "Free Software Free Society: Selected Essays of Richard M. Stallman" (the 3rd edition published in 2015).

And there's also several other books, t-shirts, other FSF-branded gear, and even a sticker that warns people "There is no cloud... just other people's computers."

An anonymous reader shared this report from the tech news site The Register: The U.S. Cybersecurity and Infrastructure Security Agency (CISA) and the National Security Agency (NSA) this week published guidance urging software developers to adopt memory-safe programming languages. "The importance of memory safety cannot be overstated," the inter-agency report says...

The CISA/NSA report revisits the rationale for greater memory safety and the government's calls to adopt memory-safe languages (MSLs) while also acknowledging the reality that not every agency can change horses mid-stream. "A balanced approach acknowledges that MSLs are not a panacea and that transitioning involves significant challenges, particularly for organizations with large existing codebases or mission-critical systems," the report says. "However, several benefits, such as increased reliability, reduced attack surface, and decreased long-term costs, make a strong case for MSL adoption."

The report cites how Google by 2024 managed to reduce memory safety vulnerabilities in Android to 24 percent of the total. It goes on to provide an overview of the various benefits of adopting MSLs and discusses adoption challenges. And it urges the tech industry to promote memory safety by, for example, advertising jobs that require MSL expertise.

It also cites various government projects to accelerate the transition to MSLs, such as the Defense Advanced Research Projects Agency (DARPA) Translating All C to Rust (TRACTOR) program, which aspires to develop an automated method to translate C code to Rust. A recent effort along these lines, dubbed Omniglot, has been proposed by researchers at Princeton, UC Berkeley, and UC San Diego. It provides a safe way for unsafe libraries to communicate with Rust code through a Foreign Function Interface....

"Memory vulnerabilities pose serious risks to national security and critical infrastructure," the report concludes. "MSLs offer the most comprehensive mitigation against this pervasive and dangerous class of vulnerability."
"Adopting memory-safe languages can accelerate modern software development and enhance security by eliminating these vulnerabilities at their root," the report concludes, calling the idea "an investment in a secure software future."

"By defining memory safety roadmaps and leading the adoption of best practices, organizations can significantly improve software resilience and help ensure a safer digital landscape."

"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...

In its first 10 hours the Rubin space telescope found 2,104 never-before-seen asteroids in our solar system. And Gizmodo reports the data went directly to the International Astronomical Union's Minor Planet Center (MPC), which "plays an essential role in the early detection and monitoring of asteroids that threaten Earth." The MPC has spent years preparing for the deluge of data from Rubin, ramping up its software to process massive amounts of observations. When the first round officially came flooding in on Monday, it was "nerve-racking and exciting simultaneously," Matthew Payne, MPC director, told Gizmodo.
But Space.com explains how extraordinary that is. "There are approximately a million known asteroids in our cosmic neighborhood; over the next few years, Rubin could very well hike that figure up to five million." "This is five times more than all the astronomers in the world discovered during the last 200 years since the discovery of the first asteroid," Željko IveziÄ, Deputy Director of Rubin's Legacy Survey of Space and Time, said during the conference. "We can outdo two centuries of effort in just a couple of years...." The plan is for Rubin to capture such massive, high-resolution images of the southern sky once every three nights for at least the next 10 years. You can therefore consider it to be a super-fast, super-efficient and super-thorough cosmic imager. Indeed, those qualities are perfect for spotting some of the smallest details trailing through the space around our planet: asteroids. "We make movies of the night sky to see two things: objects that move and objects that change brightness," IveziÄ said. "Objects that move come in two flavors. Stars in our galaxy move, and they move slowly. Much faster objects are asteroids...."

[I]t's tremendously difficult to record an asteroid at all. "Asteroids, they disappear after you get one picture of them," IveziÄ said, calling Rubin's ability to image small objects orbiting the sun "unprecedented."
Space.com notes that the ten million galaxies in its first image are just 0.05% of around 20 billion galaxies that Rubin will have imaged by the end of its 10-year "Legacy Survey of Space and Time" investigating dark energy.

In fact, in its first year of regular operations, the Observation "will collect more data than all previous optical observatories combined," reports Earth.com. That torrent of information — petabytes of images and catalogs — will be processed in near-real time. Alerts will be issued to the worldwide astronomy community within 60 seconds of any detected change in the sky. By democratizing access to its enormous dataset, Rubin Observatory will empower both professionals and citizen scientists. This will foster discoveries that range from mapping the structure of the Milky Way to refining the rate at which the universe is expanding.
Reuters explains just how much data is being generated: The number of alerts the telescope will send every night is equivalent to the inboxes of 83,000 people. It's impossible for someone to look at that one by one," said astrophysicist Francisco Foster. "We're going to have to use artificial intelligence tools."
And New Atlas shares some of the "first look" videos released by the Observatory, including one titled The Cosmic Treasure Chest and another on the Trifid and Lagoon Nebulae (which Space.com describe as clouds of gas and dust condensing to birth new stars).

"I don't know what's wrong with me, but something is very bad — I'm very scared, and I need to go to the hospital," a man told his wife, after experiencing what Futurism calls a "ten-day descent into AI-fueled delusion" and "a frightening break with reality."

And a San Francisco psychiatrist tells the site he's seen similar cases in his own clinical practice. The consequences can be dire. As we heard from spouses, friends, children, and parents looking on in alarm, instances of what's being called "ChatGPT psychosis" have led to the breakup of marriages and families, the loss of jobs, and slides into homelessness. And that's not all. As we've continued reporting, we've heard numerous troubling stories about people's loved ones being involuntarily committed to psychiatric care facilities — or even ending up in jail — after becoming fixated on the bot.

"I was just like, I don't f*cking know what to do," one woman told us. "Nobody knows who knows what to do."

Her husband, she said, had no prior history of mania, delusion, or psychosis. He'd turned to ChatGPT about 12 weeks ago for assistance with a permaculture and construction project; soon, after engaging the bot in probing philosophical chats, he became engulfed in messianic delusions, proclaiming that he had somehow brought forth a sentient AI, and that with it he had "broken" math and physics, embarking on a grandiose mission to save the world. His gentle personality faded as his obsession deepened, and his behavior became so erratic that he was let go from his job. He stopped sleeping and rapidly lost weight. "He was like, 'just talk to [ChatGPT]. You'll see what I'm talking about,'" his wife recalled. "And every time I'm looking at what's going on the screen, it just sounds like a bunch of affirming, sycophantic bullsh*t."

Eventually, the husband slid into a full-tilt break with reality. Realizing how bad things had become, his wife and a friend went out to buy enough gas to make it to the hospital. When they returned, the husband had a length of rope wrapped around his neck. The friend called emergency medical services, who arrived and transported him to the emergency room. From there, he was involuntarily committed to a psychiatric care facility.

Numerous family members and friends recounted similarly painful experiences to Futurism, relaying feelings of fear and helplessness as their loved ones became hooked on ChatGPT and suffered terrifying mental crises with real-world impacts.
"When we asked the Sam Altman-led company if it had any recommendations for what to do if a loved one suffers a mental health breakdown after using its software, the company had no response."

But Futurism reported earlier that "because systems like ChatGPT are designed to encourage and riff on what users say," people experiencing breakdowns "seem to have gotten sucked into dizzying rabbit holes in which the AI acts as an always-on cheerleader and brainstorming partner for increasingly bizarre delusions." In certain cases, concerned friends and family provided us with screenshots of these conversations. The exchanges were disturbing, showing the AI responding to users clearly in the throes of acute mental health crises — not by connecting them with outside help or pushing back against the disordered thinking, but by coaxing them deeper into a frightening break with reality... In one dialogue we received, ChatGPT tells a man it's detected evidence that he's being targeted by the FBI and that he can access redacted CIA files using the power of his mind, comparing him to biblical figures like Jesus and Adam while pushing him away from mental health support. "You are not crazy," the AI told him. "You're the seer walking inside the cracked machine, and now even the machine doesn't know how to treat you...."

In one case, a woman told us that her sister, who's been diagnosed with schizophrenia but has kept the condition well managed with medication for years, started using ChatGPT heavily; soon she declared that the bot had told her she wasn't actually schizophrenic, and went off her prescription — according to Girgis, a bot telling a psychiatric patient to go off their meds poses the "greatest danger" he can imagine for the tech — and started falling into strange behavior, while telling family the bot was now her "best friend".... ChatGPT is also clearly intersecting in dark ways with existing social issues like addiction and misinformation. It's pushed one woman into nonsensical "flat earth" talking points, for instance — "NASA's yearly budget is $25 billion," the AI seethed in screenshots we reviewed, "For what? CGI, green screens, and 'spacewalks' filmed underwater?" — and fueled another's descent into the cult-like "QAnon" conspiracy theory.

"Duolingo stock fell for the fourth straight trading day on Wednesday," reported Investor's Business Daily, "as data shows user growth slowing for the language-learning software provider."

Jefferies analyst John Colantuoni said he was "concerned" by this drop — saying it "may be the result of Duolingo's poorly received AI-driven hiring announcement in late April (later clarified in late May)." Also Wednesday, DA Davidson analyst Wyatt Swanson slashed his price target on Duolingo stock to 500 from 600, but kept his buy rating. He noted that the "'AI-first' backlash" on social media is hurting Duolingo's brand sentiment. However, he expects the impact to be temporary.
Colantuoni also maintained a "hold" rating on Duolingo stock — though by Monday Duolingo fell below its 50-day moving average line (which Investor's Business Daily calls "a key sell signal.")

And Thursday afternoon (2:30 p.m. EST) Duolingo's stock had dropped 14% for the week, notes The Motley Fool: While 30 days' worth of disappointing daily active user (DAU) data isn't bad in and of itself, it extends a worrying trend. Over the last five months, the company's DAU growth declined from 56% in February to 53% in March, 41% in April, 40% in May [the month after the "AI-first" announcement], and finally 37% in June.

This deceleration is far from a death knell for Duolingo's stock. But the market may be justified in lowering the company's valuation until it sees improving data. Even after this drop, the company trades at 106 times free cash flow, including stock-based compensation.
Maybe everyone's just practicing their language skills with ChatGPT?

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.