According to Bloomberg, several major Chinese AI companies, including Alibaba, ByteDance, and Tencent, have temporarily disabled certain chatbot features during the gaokao college entrance exams to prevent cheating. "Popular AI apps, including Alibaba's Qwen and ByteDance's Doubao, have stopped picture recognition features from responding to questions about test papers, while Tencent's Yuanbao, Moonshot's Kimi have suspended photo-recognition services entirely during exam hours," adds The Verge. From the report: The rigorous multi-day "gaokao" exams are sat by more than 13.3 million Chinese students between June 7-10th, each fighting to secure one of the limited spots at universities across the country. Students are already banned from using devices like phones and laptops during the hours-long tests, so the disabling of AI chatbots serves as an additional safety net to prevent cheating during exam season.

When asked to explain the suspension, Bloomberg reports the Yuanbao and Kimi chatbots responded that functions had been disabled "to ensure the fairness of the college entrance examinations." Similarly, the DeepSeek AI tool that went viral earlier this year is also blocking its service during specific hours "to ensure fairness in the college entrance examination,"according to The Guardian. The Guardian notes that the news is being driven by students on the Chinese social media platform Weibo. "The gaokao entrance exam incites fierce competition as it's the only means to secure a college placement in China, driving concerns that students may try to improve their chances with AI tools," notes The Verge.

The New York Times reports: California State University announced this year that it was making ChatGPT available to more than 460,000 students across its 23 campuses to help prepare them for "California's future A.I.-driven economy." Cal State said the effort would help make the school "the nation's first and largest A.I.-empowered university system..." Some faculty members have already built custom chatbots for their students by uploading course materials like their lecture notes, slides, videos and quizzes into ChatGPT.
And other U.S. campuses including the University of Maryland are also "working to make A.I. tools part of students' everyday experiences," according to the article. It's all part of an OpenAI initiative "to overhaul college education — by embedding its artificial intelligence tools in every facet of campus life."

The Times calls it "a national experiment on millions of students." If the company's strategy succeeds, universities would give students A.I. assistants to help guide and tutor them from orientation day through graduation. Professors would provide customized A.I. study bots for each class. Career services would offer recruiter chatbots for students to practice job interviews. And undergrads could turn on a chatbot's voice mode to be quizzed aloud ahead of a test. OpenAI dubs its sales pitch "A.I.-native universities..." To spread chatbots on campuses, OpenAI is selling premium A.I. services to universities for faculty and student use. It is also running marketing campaigns aimed at getting students who have never used chatbots to try ChatGPT...

OpenAI's campus marketing effort comes as unemployment has increased among recent college graduates — particularly in fields like software engineering, where A.I. is now automating some tasks previously done by humans. In hopes of boosting students' career prospects, some universities are racing to provide A.I. tools and training...

[Leah Belsky, OpenAI's vice president of education] said a new "memory" feature, which retains and can refer to previous interactions with a user, would help ChatGPT tailor its responses to students over time and make the A.I. "more valuable as you grow and learn." Privacy experts warn that this kind of tracking feature raises concerns about long-term tech company surveillance. In the same way that many students today convert their school-issued Gmail accounts into personal accounts when they graduate, Ms. Belsky envisions graduating students bringing their A.I. chatbots into their workplaces and using them for life.

"It would be their gateway to learning — and career life thereafter," Ms. Belsky said.

An anonymous reader quotes a report from IEEE Spectrum: In a development straight out of science fiction, Australian startup Cortical Labs has released what it calls the world's first code-deployable biological computer. The CL1, which debuted in March, fuses human brain cells on a silicon chip to process information via sub-millisecond electrical feedback loops. Designed as a tool for neuroscience and biotech research, the CL1 offers a new way to study how brain cells process and react to stimuli. Unlike conventional silicon-based systems, the hybrid platform uses live human neurons capable of adapting, learning, and responding to external inputs in real time. "On one view, [the CL1] could be regarded as the first commercially available biomimetic computer, the ultimate in neuromorphic computing that uses real neurons," says theoretical neuroscientist Karl Friston of University College London. "However, the real gift of this technology is not to computer science. Rather, it's an enabling technology that allows scientists to perform experiments on a little synthetic brain."

The first 115 units will begin shipping this summer at $35,000 each, or $20,000 when purchased in 30-unit server racks. Cortical Labs also offers a cloud-based "wetware-as-a-service" at $300 weekly per unit, unlocking remote access to its in-house cell cultures. Each CL1 contains 800,000 lab-grown human neurons, reprogrammed from the skin or blood samples of real adult donors. The cells remain viable for up to six months, fed by a life-support system that supplies nutrients, controls temperature, filters waste, and maintains fluid balance. Meanwhile, the neurons are firing and interpreting signals, adapting from each interaction.

The CL1's compact energy and hardware footprint could make it attractive for extended experiments. A rack of CL1 units consumes 850-1,000 watts, notably lower than the tens of kilowatts required by a data center setup running AI workloads. "Brain cells generate small electrical pulses to communicate to a broader network," says Cortical Labs Chief Scientific Officer Brett Kagan. "We can do something similar by inputting small electrical pulses representing bits of information, and then reading their responses. The CL1 does this in real time using simple code abstracted through multiple interacting layers of firmware and hardware. Sub-millisecond loops read information, act on it, and write new information into the cell culture." The company sees CL1 as foundational for testing neuropsychiatric treatments, leveraging living cells to explore genetic and functional differences. "It allows people to study the effects of stimulation, drugs and synthetic lesions on how neuronal circuits learn and respond in a closed-loop setup, when the neuronal network is in reciprocal exchange with some simulated world," says theoretical neuroscientist Karl Friston of University College London. "In short, experimentalists now have at hand a little 'brain in a vat,' something philosophers have been dreaming about for decades."

"This month, millions of young people will graduate from college," reports the New York Times, "and look for work in industries that have little use for their skills, view them as expensive and expendable, and are rapidly phasing out their jobs in favor of artificial intelligence." That is the troubling conclusion of my conversations over the past several months with economists, corporate executives and young job seekers, many of whom pointed to an emerging crisis for entry-level workers that appears to be fueled, at least in part, by rapid advances in AI capabilities.

You can see hints of this in the economic data. Unemployment for recent college graduates has jumped to an unusually high 5.8% in recent months, and the Federal Reserve Bank of New York recently warned that the employment situation for these workers had "deteriorated noticeably." Oxford Economics, a research firm that studies labor markets, found that unemployment for recent graduates was heavily concentrated in technical fields like finance and computer science, where AI has made faster gains. "There are signs that entry-level positions are being displaced by artificial intelligence at higher rates," the firm wrote in a recent report.

But I'm convinced that what's showing up in the economic data is only the tip of the iceberg. In interview after interview, I'm hearing that firms are making rapid progress toward automating entry-level work and that AI companies are racing to build "virtual workers" that can replace junior employees at a fraction of the cost. Corporate attitudes toward automation are changing, too — some firms have encouraged managers to become "AI-first," testing whether a given task can be done by AI before hiring a human to do it. One tech executive recently told me his company had stopped hiring anything below an L5 software engineer — a midlevel title typically given to programmers with three to seven years of experience — because lower-level tasks could now be done by AI coding tools. Another told me that his startup now employed a single data scientist to do the kinds of tasks that required a team of 75 people at his previous company...

"This is something I'm hearing about left and right," said Molly Kinder, a fellow at the Brookings Institution, a public policy think tank, who studies the impact of AI on workers. "Employers are saying, 'These tools are so good that I no longer need marketing analysts, finance analysts and research assistants.'" Using AI to automate white-collar jobs has been a dream among executives for years. (I heard them fantasizing about it in Davos back in 2019.) But until recently, the technology simply wasn't good enough...

An anonymous reader quotes a report from TechCrunch: Researchers at SignalFire, a data-driven VC firm that tracks job movements of over 600 million employees and 80 million companies on LinkedIn, believe they may be seeing first signs of AI's impact on hiring. When analyzing hiring trends, SignalFire noticed that tech companies recruited fewer recent college graduates in 2024 than they did in 2023. Meanwhile, tech companies, especially the top 15 Big Tech businesses, ramped up their hiring of experienced professionals. Specifically, SignalFire found that Big Tech companies reduced the hiring of new graduates by 25% in 2024 compared to 2023. Meanwhile, graduate recruitment at startups decreased by 11% compared to the prior year. Although SignalFire wouldn't reveal exactly how many fewer grads were hired according to their data, a spokesperson told us it was thousands.

While adoption of new AI tools might not fully explain the dip in recent grad hiring, Asher Bantock, SignalFire's head of research, says there's "convincing evidence" that AI is a significant contributing factor. Entry-level jobs are susceptible to automation because they often involve routine, low-risk tasks that generative AI handles well. AI's new coding, debugging, financial research, and software installation abilities could mean companies need fewer people to do that type of work. AI's ability to handle certain entry-level tasks means some jobs for new graduates could soon be obsolete. [...]

Although AI's threat to low-skilled jobs is real, tech companies' need for experienced professionals is still rising. According to SignalFire's report, Big Tech companies increased hiring by 27% for professionals with two to five years of experience, while startups hired 14% more individuals in that same seniority range. A frustrating paradox emerges for recent graduates: They can't get hired without experience, but they can't get experience without being hired. While this dilemma is not new, Heather Doshay, SignalFire's people and talent partner, says it is considerably exacerbated by AI. Doshay's advice to new grads: master AI tools. "AI won't take your job if you're the one who's best at using it," she said.

Sales of blue book exam booklets have surged dramatically across the nation as professors turn to analog solutions to prevent ChatGPT cheating. The University of California, Berkeley reported an 80% increase in blue book sales over the past two academic years, while Texas A&M saw 30% growth and the University of Florida recorded nearly 50% increases this school year. The surge comes as students who were freshmen when ChatGPT launched in 2022 approach senior year, having had access to AI throughout their college careers.

An anonymous reader shares a report: Without seeking approval of the San Francisco Board of Education, Superintendent of Schools Maria Su plans to unveil a new Grading for Equity plan on Tuesday that will go into effect this fall at 14 high schools and cover over 10,000 students. The school district is already negotiating with an outside consultant to train teachers in August in a system that awards a passing C grade to as low as a score of 41 on a 100-point exam.

Were it not for an intrepid school board member, the drastic change in grading with implications for college admissions and career readiness would have gone unnoticed and unexplained. It is buried in a three-word phrase on the last page of a PowerPoint presentation embedded in the school board meeting's 25-page agenda. The plan comes during the last week of the spring semester while parents are assessing the impact of over $100 million in budget reductions and deciding whether to remain in the public schools this fall. While the school district acknowledges that parent aversion to this grading approach is typically high and understands the need for "vigilant communication," outreach to parents has been minimal and may be nonexistent. The school district's Office of Equity homepage does not mention it and a page containing the SFUSD definition of equity has not been updated in almost three years.

Grading for Equity eliminates homework or weekly tests from being counted in a student's final semester grade. All that matters is how the student scores on a final examination, which can be taken multiple times. Students can be late turning in an assignment or showing up to class or not showing up at all without it affecting their academic grade. Currently, a student needs a 90 for an A and at least 61 for a D. Under the San Leandro Unified School District's grading for equity system touted by the San Francisco Unified School District and its consultant, a student with a score as low as 80 can attain an A and as low as 21 can pass with a D.

Bloomberg's editorial board warned Tuesday that AI has created an "untenable situation" in higher education where students routinely outsource homework to chatbots while professors struggle to distinguish computer-generated work from human writing. The editorial described a cycle where assignments that once required days of research can now be completed in minutes through AI prompts, leaving students who still do their own work looking inferior to peers who rely on technology.

The board said that professors have begun using AI tools themselves to evaluate student assignments, creating what it called a scenario of "computers grading papers written by computers, students and professors idly observing, and parents paying tens of thousands of dollars a year for the privilege."

The editorial argued that widespread AI use in coursework undermines the broader educational mission of developing critical thinking skills and character formation, particularly in humanities subjects. Bloomberg's board recommended that colleges establish clearer policies on acceptable AI use, increase in-class assessments including oral exams, and implement stronger honor codes with defined consequences for violations.

"What if ultrafast pulses of light could operate computers at speeds a million times faster than today's best processors?" asks the University of Arizona.

"A team of scientists, including researchers from the University of Arizona, are working to make that possible." In a groundbreaking international effort, researchers from the Department of Physics in the College of Science and the James C. Wyant College of Optical Sciences demonstrated a way to manipulate electrons in graphene using pulses of light that last less than a trillionth of a second. By leveraging a quantum effect known as tunneling, they recorded electrons bypassing a physical barrier almost instantaneously, a feat that redefines the potential limits of computer processing power. A study published in Nature Communications highlights how the technique could lead to processing speeds in the petahertz range — over 1,000 times faster than modern computer chips. Sending data at those speeds would revolutionize computing as we know it, said Mohammed Hassan, an associate professor of physics and optical sciences. Hassan has long pursued light-based computer technology and previously led efforts to develop the world's fastest electron microscope...

[T]he researchers used a laser that switches off and on at a rate of 638 attoseconds to create what Hassan called "the world's fastest petahertz quantum transistor... For reference, a single attosecond is one-quintillionth of a second," Hassan said. "That means that this achievement represents a big leap forward in the development of ultrafast computer technologies by realizing a petahertz-speed transistor." While some scientific advancements occur under strict conditions, including temperature and pressure, this new transistor performed in ambient conditions — opening the way to commercialization and use in everyday electronics. Hassan is working with Tech Launch Arizona, the office that works with investigators to commercialize inventions stemming from U of A research in order to patent and market innovations.

While the original invention used a specialized laser, the researchers are furthering development of a transistor compatible with commercially available equipment. "I hope we can collaborate with industry partners to realize this petahertz-speed transistor on a microchip," Hassan said.
Thanks to long-time Slashdot reader goslackware for sharing the news.

An anonymous reader quotes a report from Ars Technica, written by Nate Anderson: Don't worry about the "mission-driven not-for-profit" College Board -- it's drowning in cash. The US group, which administers the SAT and AP tests to college-bound students, paid its CEO $2.38 million in total compensation in 2023 (the most recent year data is available). The senior VP in charge of AP programs made $694,662 in total compensation, while the senior VP for Technology Strategy made $765,267 in total compensation. Given such eye-popping numbers, one would have expected the College Board's transition to digital exams to go smoothly, but it continues to have issues.

Just last week, the group's AP Psychology exam was disrupted nationally when the required "Bluebook" testing app couldn't be accessed by many students. Because the College Board shifted to digital-only exams for 28 of its 36 AP courses beginning this year, no paper-based backup options were available. The only "solution" was to wait quietly in a freezing gymnasium, surrounded by a hundred other stressed-out students, to see if College Board could get its digital act together. [...] College Board issued a statement on the day of the AP Psych exam, copping to "an issue that prevented [students] from logging into the College Board's Bluebook testing application and beginning their exams at the assigned local start time." Stressing that "most students have had a successful testing experience, with more than 5 million exams being successfully submitted thus far," College Board nonetheless did "regret that their testing period was disrupted." It's not the first such disruption, though. [...]

College Board also continues to have problems delivering digital testing at scale in a high-pressure environment. During the SAT exam sessions on March 8-9, 2025, more than 250,000 students sat for the test -- and some found that their tests were automatically submitted before the testing time ended. College Board blamed the problem on "an incorrectly configured security setting on Bluebook." The problem affected nearly 10,000 students, and several thousand more "may have lost some testing time if they were asked by their room monitor to reboot their devices during the test to fix and prevent the auto-submit error." College Board did "deeply and sincerely apologize to the students who were not able to complete their tests, or had their test time interrupted, for the difficulty and frustration this has caused them and their families." It offered refunds, plus a free future SAT testing voucher.

An anonymous reader quotes a report from The Guardian: "Do not use semicolons," wrote Kurt Vonnegut, who averaged fewer than 30 a novel (about one every 10 pages). "All they do is show you've been to college." A study suggests UK authors are taking Vonnegut's advice to heart; the semicolon seems to be in terminal decline, with its usage in English books plummeting by almost half in two decades -- from one appearing in every 205 words in 2000 to one use in every 390 words today. Further research by Lisa McLendon, author of The Perfect English Grammar Workbook, found 67% of British students never or rarely use the semicolon. Just 11% of respondents described themselves as frequent users.

Linguistic experts at the language learning software Babbel, which commissioned the original research, were so struck by their findings that they asked McLendon to give the 500,000-strong London Student Network a 10-question multiple-choice quiz on the semicolon. She found more than half of respondents did not know or understand how to use it. As defined by the Oxford Dictionary of English, the semicolon is "a punctuation mark indicating a pause, typically between two main clauses, that is more pronounced than that indicated by a comma." It is commonly used to link together two independent but related clauses, and is particularly useful for juxtaposition or replacing confusing extra commas in lists where commas already exist -- or where a comma would create a splice. The Guardian has a semicolon quiz at the end of the article where you can test your semicolon knowledge.

America's regional state universities are experiencing steep enrollment declines, triggering economic crises in the towns that depend on them, while flagship universities continue to thrive.

At Western Illinois University in Macomb, enrollment has plummeted 47% since 2010, driving the city's population down 23% to 14,765. Empty dorms have been repurposed or demolished, while local businesses struggle to survive. "It's almost like you're watching the town die," Kalib McGruder, a 28-year veteran of the campus police department, told WSJ.

An analysis of 748 public four-year institutions reveals enrollment at prestigious state universities increased 9% between 2015 and 2023, while regional state schools saw a 2% decline. The University of Tennessee Knoxville's enrollment jumped 30% as the state's regional colleges collectively fell 3%. With high school graduate numbers expected to decline starting next year after reaching a record high in 2024, the outlook for struggling college towns appears bleak.

AI is eroding entry-level positions across multiple industries, threatening the traditional career ladder for young professionals, LinkedIn's chief economic opportunity officer warned Monday. College graduate unemployment has risen 30% since September 2022, compared to 18% for workers overall, according to LinkedIn data. The company's research shows Generation Z workers expressing greater pessimism about their futures than any other age group.

"Breaking first is the bottom rung of the career ladder," wrote Aneesh Raman in a New York Times column, citing examples across technology, law, and retail where AI is replacing tasks traditionally assigned to junior workers. A LinkedIn survey of 3,000 executives found 63% believe AI will eventually handle mundane entry-level tasks, with professionals holding advanced degrees likely facing greater disruption than those without.

Some firms are adapting by redesigning roles. KPMG now assigns recent graduates tax work previously reserved for more experienced employees, while Macfarlanes has early-career lawyers interpreting complex contracts once handled by senior colleagues. Though economic uncertainty also impacts hiring, Raman warned that delayed career entry can cost young workers approximately $22,000 in earnings over a decade.

The BBC visits "the strange, stubborn world of obsolete Windows machines." Even if you're a diehard Apple user, you're probably interacting with Windows systems on a regular basis. When you're pulling cash out, for example, chances are you're using a computer that's downright geriatric by technology standards. (Microsoft declined to comment for this article.) "Many ATMs still operate on legacy Windows systems, including Windows XP and even Windows NT," which launched in 1993, says Elvis Montiero, an ATM field technician based in Newark, New Jersey in the US. "The challenge with upgrading these machines lies in the high costs associated with hardware compatibility, regulatory compliance and the need to rewrite proprietary ATM software," he says. Microsoft ended official support for Windows XP in 2014, but Montiero says many ATMs still rely on these primordial systems thanks to their reliability, stability and integration with banking infrastructure.
And a job listing for an IT systems administrator for Germany's railway service "were expected to have expertise with Windows 3.11 and MS-DOS — systems released 32 and 44 years ago, respectively. In certain parts of Germany, commuting depends on operating systems that are older than many passengers." It's not just German transit, either. The trains in San Francisco's Muni Metro light railway, for example, won't start up in the morning until someone sticks a floppy disk into the computer that loads DOS software on the railway's Automatic Train Control System (ATCS). Last year, the San Francisco Municipal Transit Authority (SFMTA) announced its plans to retire this system over the coming decade, but today the floppy disks live on.
Apple is "really aggressive about deprecating old products," M. Scott Ford, a software developer who specialises in updating legacy systems, tells the BBC. "But Microsoft took the approach of letting organisations leverage the hardware they already have and chasing them for software licenses instead. They also tend to have a really long window for supporting that software."

And so you get things like two enormous LightJet printers in San Diego powered by servers running Windows 2000, says photographic printer John Watts: Long out of production, the few remaining LightJets rely on the Windows operating systems that were around when these printers were sold. "A while back we looked into upgrading one of the computers to Windows Vista. By the time we added up the money it would take to buy new licenses for all the software it was going to cost $50,000 or $60,000 [£38,000 to £45,000]," Watts says. "I can't stand Windows machines," he says, "but I'm stuck with them...."

In some cases, however, old computers are a labour of love. In the US, Dene Grigar, director of the Electronic Literature Lab at Washington State University, Vancouver, spends her days in a room full of vintage (and fully functional) computers dating back to 1977... She's not just interested in early, experimental e-books. Her laboratory collects everything from video games to Instagram zines.... Grigar's Electronic Literature Lab maintains 61 computers to showcase the hundreds of electronic works and thousands of files in the collection, which she keeps in pristine condition.
Grigar says they're still looking for a PC that reads five-and-a-quarter-inch floppy disks.

While Amazon won FAA approval to fly beyond an operators' visual line of sight, "the program remains a work in progress," reports Bloomberg: A pair of Amazon.com Inc. package delivery drones were flying through a light rain in mid-December when, within minutes of one another, they both committed robot suicide... [S]ome 217 feet (66 meters) in the air [at a drone testing facility], the aircraft cut power to its six propellers, fell to the ground and was destroyed. Four minutes later and 183 feet over the taxiway, a second Prime Air drone did the same thing.

Not long after the incidents, Amazon paused its experimental drone flights to tweak the aircraft software but said the crashes weren't the "primary reason" for halting the program. Now, five months after the twin crashes, a more detailed explanation of what happened is starting to emerge. Faulty readings from lidar sensors made the drones think they had landed, prompting the software to shut down the propellers, according to National Transportation Safety Board documents reviewed by Bloomberg. The sensors failed after a software update made them more susceptible to being confused by rain, the NTSB said.
Amazon also removed a backup sensor present that had been present on earlier iterations, according to the article — though an Amazon spokesperson said the company had found ways to replicate the removed sensors.

But Bloomberg notes Amazon's drone efforts has faced "technical challenges and crashes, including one in 2021 that set a field ablaze at the company's testing facility in Pendleton, Oregon." Deliveries are currently limited to College Station, Texas, and greater Phoenix, with plans to expand to Kansas City, Missouri, the Dallas area and San Antonio, as well as the UK and Italy. Starting with a craft that looked like a hobbyist drone — and was vulnerable to even modest gusts of wind — Amazon went through dozens of designs to toughen the vehicle and ultimately make it capable of carting about 5 pounds, giving it the capability to transport items typically ordered from its warehouses. Engineers settled on a six-propeller design that takes off vertically before cruising like a plane. The first model to make regular customer deliveries, the MK27, was succeeded last year by the MK30, which flies at about 67 miles an hour and can deliver packages up to 7.5 miles from its launch point. The craft takes off, flies and lands autonomously.

Boys and young men in the United States are experiencing declining outcomes in education, mental health, and transition to adulthood compared to their female counterparts, according to comprehensive data analyzed by researchers. High school graduation rates for boys stand at 83% versus 89% for girls, while college enrollment of recent male high school graduates has barely increased to 57% from 54% in 1960, compared to women's surge to 66% from 38% in the same period.

Mental health indicators show 28% of boys ages 3-17 have mental, emotional, behavioral or developmental problems versus 23% of girls. Male suicide rates for ages 15-24 have nearly doubled to 21 per 100,000 in 2023 from 11 in 1968. Labor force participation among men ages 25-54 has declined to 89% from 94% in 1975, while women's participation rose to 78% from 55%. Additionally, 19% of men ages 25-34 now live with parents, compared to 13% of women. "The contemporary American economy is not rewarding a lot of the characteristics associated with men and masculinity," said Robb Willer, professor of sociology at Stanford.

A Northeastern University student demanded her tuition money back after discovering her business professor was secretly using AI to create course materials. Ella Stapleton, who graduated this year, grew suspicious when she noticed telltale signs of AI generation in her professor's lecture notes, including a stray ChatGPT citation in the bibliography, recurring typos matching machine outputs, and images showing figures with extra limbs.

"He's telling us not to use it, and then he's using it himself," Stapleton told the New York Times. After filing a formal complaint with Northeastern's business school, Stapleton requested a tuition refund of about $8,000 for the course. The university ultimately rejected her claim. Professor Rick Arrowood acknowledged using ChatGPT, Perplexity AI, and presentation generator Gamma. "In hindsight, I wish I would have looked at it more closely," he said.

An anonymous reader quotes a report from the BBC: A student's robot has beaten the world record for solving a four-by-four Rubik's cube -- by 33 seconds. Matthew Pidden, a 22-year-old University of Bristol student, built and trained the "Revenger" over 15 weeks for his computer science bachelor's degree. The robot solved the cube in 45.305 seconds, obliterating the world record of 1 minute 18 seconds. However, the human record for solving the cube is 15.71 seconds.

Mr Pidden's robot uses dual webcams to scan the cube, a custom mechanism to manipulate the faces, and a fully self-built solving algorithm to generate efficient solutions. The student now plans to study for a master's degree in robotics at Imperial College London.

An anonymous reader quotes a report from Ars Technica: Last Thursday, white smoke emerged from a chimney at the Sistine Chapel, signaling that cardinals had elected a new pope. That's a rare event in itself, but one of the many unprecedented aspects of the election of Chicago-born Robert Prevost as Pope Leo XIV is one of the main reasons he chose his papal name: artificial intelligence. On Saturday, the new pope gave his first address to the College of Cardinals, explaining his name choice as a continuation of Pope Francis' concerns about technological transformation. "Sensing myself called to continue in this same path, I chose to take the name Leo XIV," he said during the address. "There are different reasons for this, but mainly because Pope Leo XIII in his historic Encyclical Rerum Novarum addressed the social question in the context of the first great industrial revolution."

In his address, Leo XIV explicitly described "artificial intelligence" developments as "another industrial revolution," positioning himself to address this technological shift as his namesake had done over a century ago. As the head of an ancient religious organization that spans millennia, the pope's talk about AI creates a somewhat head-spinning juxtaposition, but Leo XIV isn't the first pope to focus on defending human dignity in the age of AI. Pope Francis, who died in April, first established AI as a Vatican priority, as we reported in August 2023 when he warned during his 2023 World Day of Peace message that AI should not allow "violence and discrimination to take root." In January of this year, Francis further elaborated on his warnings about AI with reference to a "shadow of evil" that potentially looms over the field in a document called "Antiqua et Nova" (meaning "the old and the new").

"Like any product of human creativity, AI can be directed toward positive or negative ends," Francis said in January. "When used in ways that respect human dignity and promote the well-being of individuals and communities, it can contribute positively to the human vocation. Yet, as in all areas where humans are called to make decisions, the shadow of evil also looms here. Where human freedom allows for the possibility of choosing what is wrong, the moral evaluation of this technology will need to take into account how it is directed and used." [...] Just as mechanization disrupted traditional labor in the 1890s, artificial intelligence now potentially threatens employment patterns and human dignity in ways that Pope Leo XIV believes demand similar moral leadership from the church. "In our own day," Leo XIV concluded in his formal address on Saturday, "the Church offers to everyone the treasury of her social teaching in response to another industrial revolution and to developments in the field of artificial intelligence that pose new challenges for the defense of human dignity, justice, and labor."

Chungin Lee used ChatGPT to help write the essay that got him into Columbia University — and then "proceeded to use generative artificial intelligence to cheat on nearly every assignment," reports New York magazine's blog Intelligencer: As a computer-science major, he depended on AI for his introductory programming classes: "I'd just dump the prompt into ChatGPT and hand in whatever it spat out." By his rough math, AI wrote 80 percent of every essay he turned in. "At the end, I'd put on the finishing touches. I'd just insert 20 percent of my humanity, my voice, into it," Lee told me recently... When I asked him why he had gone through so much trouble to get to an Ivy League university only to off-load all of the learning to a robot, he said, "It's the best place to meet your co-founder and your wife."
He eventually did meet a co-founder, and after three unpopular apps they found success by creating the "ultimate cheat tool" for remote coding interviews, according to the article. "Lee posted a video of himself on YouTube using it to cheat his way through an internship interview with Amazon. (He actually got the internship, but turned it down.)" The article ends with Lee and his co-founder raising $5.3 million from investors for one more AI-powered app, and Lee says they'll target the standardized tests used for graduate school admissions, as well as "all campus assignments, quizzes, and tests. It will enable you to cheat on pretty much everything."

Somewhere along the way Columbia put him on disciplinary probation — not for cheating in coursework, but for creating the apps. But "Lee thought it absurd that Columbia, which had a partnership with ChatGPT's parent company, OpenAI, would punish him for innovating with AI." (OpenAI has even made ChatGPT Plus free to college students during finals week, the article points out, with OpenAI saying their goal is just teaching students how to use it responsibly.) Although Columbia's policy on AI is similar to that of many other universities' — students are prohibited from using it unless their professor explicitly permits them to do so, either on a class-by-class or case-by-case basis — Lee said he doesn't know a single student at the school who isn't using AI to cheat. To be clear, Lee doesn't think this is a bad thing. "I think we are years — or months, probably — away from a world where nobody thinks using AI for homework is considered cheating," he said...

In January 2023, just two months after OpenAI launched ChatGPT, a survey of 1,000 college students found that nearly 90 percent of them had used the chatbot to help with homework assignments.
The article points out ChatGPT's monthly visits increased steadily over the last two years — until June, when students went on summer vacation. "College is just how well I can use ChatGPT at this point," a student in Utah recently captioned a video of herself copy-and-pasting a chapter from her Genocide and Mass Atrocity textbook into ChatGPT.... It isn't as if cheating is new. But now, as one student put it, "the ceiling has been blown off." Who could resist a tool that makes every assignment easier with seemingly no consequences?
After using ChatGPT for their final semester of high school, one student says "My grades were amazing. It changed my life." So she continued used it in college, and "Rarely did she sit in class and not see other students' laptops open to ChatGPT."

One ethics professor even says "The students kind of recognize that the system is broken and that there's not really a point in doing this." (Yes, students are even using AI to cheat in ethics classes...) It's not just the students: Multiple AI platforms now offer tools to leave AI-generated feedback on students' essays. Which raises the possibility that AIs are now evaluating AI-generated papers, reducing the entire academic exercise to a conversation between two robots — or maybe even just one.