Google's new AI video tool, Veo 3, is being used to create hyperrealistic videos that are now flooding the internet, terrifying viewers "with a sense that real and fake have become hopelessly blurred," reports Axios. From the report: Unlike OpenAI's video generator Sora, released more widely last December, Google DeepMind's Veo 3 can include dialogue, soundtracks and sound effects. The model excels at following complex prompts and translating detailed descriptions into realistic videos. The AI engine abides by real-world physics, offers accurate lip-syncing, rarely breaks continuity and generates people with lifelike human features, including five fingers per hand. According to examples shared by Google and from users online, the telltale signs of synthetic content are mostly absent.

In one viral example posted on X, filmmaker and molecular biologist Hashem Al-Ghaili shows a series of short films of AI-generated actors railing against their AI creators and prompts. Special effects technology, video-editing apps and camera tech advances have been changing Hollywood for many decades, but artificially generated films pose a novel challenge to human creators. In a promo video for Flow, Google's new video tool that includes Veo 3, filmmakers say the AI engine gives them a new sense of freedom with a hint of eerie autonomy. "It feels like it's almost building upon itself," filmmaker Dave Clark says.

Nvidia is facing backlash for allegedly manipulating the review process of its GeForce RTX 5060 GPU by withholding drivers, selectively granting early access to favorable reviewers, and pressuring media to present the card in a positive light. As The Verge's Sean Hollister writes, the debacle "should be a wake-up call for gamers and reviewers." Here's an excerpt from the report: Nvidia has gone too far. This week, the company reportedly attempted to delay, derail, and manipulate reviews of its $299 GeForce RTX 5060 graphics card, which would normally be its bestselling GPU of the generation. Nvidia has repeatedly and publicly said the budget 60-series cards are its most popular, and this year it reportedly tried to ensure it by withholding access and pressuring reviewers to paint them in the best light possible.

Nvidia might have wanted to prevent a repeat of 2022, when it launched this card's predecessor. Those reviews were harsh. The 4060 was called a "slap in the face to gamers" and a "wet fart of a GPU." I had guessed the 5060 was headed for the same fate after seeing how reviewers handled the 5080, which similarly showcased how little Nvidia's hardware has improved year over year and relies on software to make up the gaps. But Nvidia had other plans. Here are the tactics that Nvidia reportedly just used to throw us off the 5060's true scent, as individually described by GamersNexus, VideoCardz, Hardware Unboxed, GameStar.de, Digital Foundry, and more:

- Nvidia decided to launch its RTX 5060 on May 19th, when most reviewers would be at Computex in Taipei, Taiwan, rather than at their test beds at home.
- Even if reviewers already had a GPU in hand before then, Nvidia cut off most reviewers' ability to test the RTX 5060 before May 19th by refusing to provide drivers until the card went on sale. (Gaming GPUs don't really work without them.)
- And yet Nvidia allowed specific, cherry-picked reviewers to have early drivers anyhow if they agreed to a borderline unethical deal: they could only test five specific games, at 1080p resolution, with fixed graphics settings, against two weaker GPUs (the 3060 and 2060 Super) where the new card would be sure to win.
- In some cases, Nvidia threatened to withhold future access unless reviewers published apples-to-oranges benchmark charts showing how the RTX 5060's "fake frames" MFG tech can produce more frames than earlier GPUs without it.

Some reviewers apparently took Nvidia up on that proposition, leading to day-one "previews" where the charts looked positively stacked in the 5060's favor [...]. But the reality, according to reviews that have since hit the web, is that the RTX 5060 often fails to beat a four-year-old RTX 3060 Ti, frequently fails to beat a four-year-old 3070, and can sometimes get upstaged by Intel's cheaper $250 B580. And yet, the 5060's lackluster improvements are overshadowed by a juicier story: inexplicably, Nvidia decided to threaten GamersNexus' future access over its GPU coverage. Yes, the same GamersNexus that's developed a staunch reputation for defending consumers from predatory behavior, and just last month published a report on "GPU shrinkflation" that accused Nvidia of misleading marketing. Bad move! [...]

Nvidia is within its rights to withhold access, of course. Nvidia doesn't have to send out graphics cards or grant interviews. It'll only do it if it's good for business. But the unspoken covenant of product reviews is that the press, as a whole, gets a chance to warn the public if a movie, video game, or GPU is not worth their money. It works both ways: the media also gets the chance to warn that a product is so good you might want to line up in advance. That unspoken rule is what Nvidia is trampling here.

Abstract of a paper featured on NBER: This year marks the 40th anniversary of the NBER Macro Annual Conference, founded in 1986. This paper reviews the evolution of mainstream macroeconomics since then. It presents my views, informed by a survey of a number of researchers who have made important contributions to the field. I develop two main arguments.

The first is that, starting from strikingly different positions, there has been substantial convergence, in terms of methodology, architecture, and main mechanisms. Methodology: Explicit micro foundations, explicit treatment of distortions, with, at the same time, an increased willingness to deviate from rational expectations, neoclassical utility and profit maximization. Architecture: The wide acceptance of nominal rigidities as an essential distortion, although with mixed feelings. Mechanisms: The wide nature of the shocks to both the demand and the supply side.

The second is that this convergence has been, for the most part, good convergence, i.e. the creation of a generally accepted conceptual and analytical structure, a core to which additional distortions can be added, allowing for discussions and integration of new ideas and evidence, rather than fights about basic methodology. Not everything is right however, with too much emphasis on general equilibrium implications from the start, rather than, first, on partial equilibrium analysis of the phenomenon at hand.

Microsoft has stopped production of the Surface Laptop Studio 2 and will mark it as end-of-life in June, with no successor currently planned. Tom's Hardware reports: The Surface Laptop Studio 2 is being put out to pasture quietly, much like other devices that the company has sunset. The Surface Studio, a desktop PC that folded down into a creative studio for drawing, was formally discontinued in December without a successor. Microsoft's audio products, the Surface Headphones 2 and Surface Earbuds, have also quietly disappeared.

The Surface Laptop Studio's discontinuance comes at a hazy time for the Surface brand. On the one hand, two new devices -- the Surface Pro 12-inch and Surface Laptop 13-inch -- were just announced and are set to release next week. On the other hand, the lineup lost its champion, former chief Panos Panay, who left Microsoft for Amazon in 2023, reportedly over budget issues and product cancellations. Panay was succeeded by Pavan Davuluri.

Since Panay's departure, the lineup has been cut down to just the Surface Laptop, Surface Pro, and the Surface Go 4, the latter of which is only sold to business customers at the moment. Without the Surface Laptop Studio, Microsoft has removed systems with discrete GPUs from its hardware lineup, potentially alienating creatives and gamers. Prior to the Surface Laptop Studio, Microsoft's powerhouse system was the Surface Book, which combined a tablet with a base featuring a discrete GPU.

"When Rust developers think of us C++ folks, they picture a cursed bloodline," writes professional game developer Mamadou Babaei (also a *nix enthusiast who contributes to the FreeBSD Ports collection). "To them, every line of C++ we write is like playing Russian Roulette — except all six chambers are loaded with undefined behavior." But you know what? We don't need a compiler nanny. No borrow checker. No lifetimes. No ownership models. No black magic. Not even Valgrind is required. Just raw pointers, raw determination, and a bit of questionable sanity.
He's created a video on "how to hunt down memory leaks like you were born with a pointer in one hand and a debugger in the other." (It involves using a memory leak tracker — specifically, Visual Studio's _CrtDumpMemoryLeaks, which according to its documentation "dumps all the memory blocks in the debug heap when a memory leak has occurred," identifying the offending lines and pointers.)

"If that sounds unreasonably dangerous — and incredibly fun... let's dive into the deep end of the heap."

"The method is so easy, it renders Rust's memory model (lifetimes, ownership) and the borrow checker useless!" writes Slashdot reader NuLL3rr0r. Does anybody agree with him? Share your own experiences and reactions in the comments.

And how do you feel about Rust's "borrow-checking compiler nanny"?

Long-time Slashdot reader mbessey (a Mac/iOS developer) writes: As we're coming up on the 50th anniversary of the first release of UCSD Pascal, I thought it would be interesting to poke around in it a bit, and work on some tools to bring this "portable operating system" back to life on modern hardware, in a modern language (Rust).
Wikipedia describes UCSD Pascal as "a version that ran on a custom operating system that could be ported to different platforms. A key platform was the Apple II, where it saw widespread use as Apple Pascal. This led to Pascal becoming the primary high-level language used for development in the Apple Lisa, and later, the Macintosh. Parts of the original Macintosh operating system were hand-translated into Motorola 68000 assembly language from the Pascal source code."

mbessey is chronicling their new project in a series of blog posts which begins here: The p-System was not the first portable byte-code interpreter and compiler system — that idea goes very far back, at least to the origins of the Pascal language itself. But it was arguably one of the most-successful early versions of the idea and served as an inspiration for future portable software systems (including Java's bytecode, and Infocom's Z-machine).
And they've already gotten UCSD Pascal running in an emulator and built some tools (in Rust) to transfer files to disk images. Now they're working towards writing a p-machine emulator in Rust, which they can they port to "something other than the Mac. Ideally, something small â" like an Arduino or Raspberry Pi Pico."

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.

An anonymous reader quotes a report from CNBC: There's a new warehouse robot at Amazon that has a sense of touch, allowing it to handle a job previously only done by humans. Amazon unveiled the robot, called Vulcan, Wednesday at an event in Germany. CNBC got an exclusive first look at Vulcan in April, as it stowed items into tall, yellow bins at a warehouse in Spokane, Washington. An up-close look at the "hand" of the robot reveals how it can feel the items it touches using an AI-powered sensor to determine the precise pressure and torque each object needs. This innovative gripper helps give Vulcan the ability to manipulate 75% of the 1 million unique items in inventory at the Spokane warehouse. Amazon has used other robotic arms inside its warehouses since 2021, but those rely on cameras for detection and suction for grasp, limiting what types of objects they can handle.

Vulcan can also operate 20 hours a day, according to Aaron Parness, who heads up the Amazon Robotics team that developed the machine. Still, Parness told CNBC that instead of replacing people in its warehouses, Vulcan will create new, higher skilled jobs that involve maintaining, operating, installing and building the robots. When asked if Amazon will fully automate warehouses in the future, Parness said, "not at all." "I don't believe in 100% automation," he said. "If we had to get Vulcan to do 100% of the stows and picks, it would never happen. You would wait your entire life. Amazon understands this." The goal is for Vulcan to handle 100% of the stowing that happens in the top rows of bins, which are difficult for people to reach, Parness said. [...] Amazon said Vulcan is operating at about the same speed as a human worker and can handle items up to 8 pounds. It operates behind a fence, sequestered from human workers to reduce the risk of accidents.

An anonymous reader quotes a report from Ars Technica: Raspberry Pi boards have a combination of surface-mount devices (SMDs) and through-hole bits. SMDs allow for far more tiny chips, resistors, and other bits to be attached to boards by their tiny pins, flat contacts, solder balls, or other connections. For those things that are bigger, or subject to rough forces like clumsy human hands, through-hole soldering is still required, with leads poked through a connective hole and solder applied to connect and join them securely. The Raspberry Pi board has a 40-pin GPIO header on it that needs through-hole soldering, along with bits like the Ethernet and USB ports. These require robust solder joints, which can't be done the same way as with SMT (surface-mount technology) tools. "In the early days of Raspberry Pi, these parts were inserted by hand, and later by robotic placement," writes Roger Thornton, director of applications for Raspberry Pi, in a blog post. The boards then had to go through a follow-up wave soldering step.

Now Pi boards have their tiny bits and bigger pieces soldered at the same time through an intrusive reflow soldering process undertaken with Raspberry Pi's UK manufacturing partner, Sony. After adjusting component placement, the solder stencil, and the connectors, the board makers could then place and secure all their components in the same stage. Intrusive reflow soldering this way involves putting solder paste on both the pads for SMD bits and into the through-hole pins. The through-hole parts are pushed onto the paste, and the whole board then goes into a reflow oven, where the solder paste melts, the connectors fall in more fully, and joints are formed for all the SMD and through-hole parts at once. You can watch the process up close in this mesmerizing video from Surface Mount Process.

Intrusive reflow soldering is not a brand-new process, but what it did for the Raspberry Pi is notable, according to Thornton. The company saw "a massive 50% reduction in product returns," and it sped up production by 15 percent by eliminating the break between the two soldering stages. By removing the distinct soldering bath from its production line, the company also reduced its carbon dioxide output by 43 tonnes per year (or 47.4 US tons).

"4chan, down for more than a week after hackers got in through an insecure script that handled PDFs, is back online," notes BoingBoing. (They add that Thursday saw 4chan's first blog postin years — just the words "Testing testing 123 123...") But 4chan posted a much longer explanation on Friday," confirming their servers were compromised by a malicious PDF upload from "a hacker using a UK IP address," granting access to their databases and administrative dashboard.

The attacker "spent several hours exfiltrating database tables and much of 4chan's source code. When they had finished downloading what they wanted, they began to vandalize 4chan at which point moderators became aware and 4chan's servers were halted, preventing further access." While not all of our servers were breached, the most important one was, and it was due to simply not updating old operating systems and code in a timely fashion. Ultimately this problem was caused by having insufficient skilled man-hours available to update our code and infrastructure, and being starved of money for years by advertisers, payment providers, and service providers who had succumbed to external pressure campaigns. We had begun a process of speccing new servers in late 2023. As many have suspected, until that time 4chan had been running on a set of servers purchased second-hand by moot a few weeks before his final Q&A [in 2015], as prior to then we simply were not in a financial position to consider such a large purchase. Advertisers and payment providers willing to work with 4chan are rare, and are quickly pressured by activists into cancelling their services. Putting together the money for new equipment took nearly a decade...

The free time that 4chan's development team had available to dedicate to 4chan was insufficient to update our software and infrastructure fast enough, and our luck ran out. However, we have not been idle during our nearly two weeks of downtime. The server that was breached has been replaced, with the operating system and code updated to the latest versions. PDF uploads have been temporarily disabled on those boards that supported them, but they will be back in the near future. One slow but much beloved board, /f/ — Flash, will not be returning however, as there is no realistic way to prevent similar exploits using .swf files.

We are bringing on additional volunteer developers to help keep up with the workload, and our team of volunteer janitors & moderators remains united despite the grievous violations some have suffered to their personal privacy.

4chan is back. No other website can replace it, or this community. No matter how hard it is, we are not giving up.

ZDNet's reviewer says "I tested this affordable E Ink phone for two weeks, and it rewired my brain (for the better)." It's Mudita's new Kompakt smartphone with a two-color E Ink display — which ZDNet calls "an affordable choice" for those "considering investing in a so-called 'dumbphone'..." Compared to modern smartphones, the Mudita Kompakt is a bit chunky at half an inch thick and five inches long. It's still rather light, though, weighing just 164 grams and covered in soft touch material, so it feels good in the hand. The bezels around the 4.3-inch display are rather large, with three touch-sensitive buttons for back, home, and quick settings, so navigating to key elements is intuitive, whether you're coming from Android or iOS.

The phone features a fingerprint sensor to lock and unlock, and it's housed on the power button in the middle of the right side. I'm a huge fan of consolidating these two purposes to the same button, and it works flawlessly.... You can charge via the USB-C, but surprisingly, it also supports wireless charging. All in all, the battery is quite good. Mudita says it can last for up to six days on standby, with around two days of standard use. In my testing, I found this to be about accurate.

On the left side of the device is a button that houses one of its key features: offline mode. Switching to this mode disables all wireless connectivity and support for the camera, so it truly becomes distraction-free.. [T]here is undoubtedly some lag in certain apps — such as the camera — due to the E Ink display technology and processor/RAM specifications. You will also likely notice some lag in text messaging if you tap quickly on the keyboard, often resulting in getting ahead of the spell-checking feature. As far as apps go, in addition to phone calls and text messages, the Kompakt includes an alarm, calculator, chess game, maps, meditation, weather, and a voice recorder.
Phone calls "sounded great on both ends," according to the review. (And text messaging "works well if you don't tap too quickly on the keyboard.") But the 8MP camera produced photos "that look like they were taken over ten years ago." (And accessing the internal storage "requires connecting to a Windows PC and launching File Explorer," although "you can also just share photos via text messaging, as it's much faster than using a computer.") But ZDNet calls it an "attractive — if very simplified — E Ink display."

Mudita is asking $369 now for preorder customers, according to the article, while the phone will be available in May for $439.

An anonymous reader quotes a report from IEEE Spectrum: The XPrize Foundation today announced the winners of its four-year, $100 million XPrize competition in carbon removal. The contest is one of dozens hosted by the foundation in its 20-year effort to encourage technological development. Contestants in the carbon removal XPrize had to demonstrate ways to pull carbon dioxide from the atmosphere or oceans and sequester it sustainably.

Mati Carbon, a Houston-based startup developing a sequestration technique called enhanced rock weathering, won the grand prize of $50 million. The company spreads crushed basalt on small farms in India and Africa. The silica-rich volcanic rock improves the quality of the soil for the crops but also helps remove carbon dioxide from the air. It does this by reacting with dissolved CO2 in the soil's water, turning it into bicarbonate ions and preventing it from returning to the atmosphere.

More than a dozen organizations globally are developing enhanced rock weathering approaches at an industrial scale, but Mati's tech-heavy verification and software platform caught the XPrize judges' attention. "On the one hand, they're moving rocks around in trucks—that's not very techy. But when we looked under the hood... what we saw was a very impressive data-collection exercise," says Michael Leitch, XPrize's technical lead for the competition. Here's a list of the runners-up:

- Paris-based NetZero won $15 million for turning agricultural waste into biochar through pyrolysis, a method that locks carbon into a stable, solid form.
- Houston-based Vaulted Deep won $8 million for geologically sequestering carbon-rich organic waste by injecting it deep underground.
- London-based Undo Carbon won $5 million for its enhanced rock weathering approach, spreading silicate minerals to speed up natural carbon removal.

Additionally, Project Hajar and Planetary Technologies each received $1 million honorary XFactor prizes, recognizing their promising work in direct air capture and ocean carbon removal, despite not meeting the competition's 1,000-tonne removal threshold.

An anonymous reader quotes a report from TechCrunch: Perplexity CEO Aravind Srinivas said this week on the TBPN podcast that one reason Perplexity is building its own browser is to collect data on everything users do outside of its own app. This so it can sell premium ads. "That's kind of one of the other reasons we wanted to build a browser, is we want to get data even outside the app to better understand you," Srinivas said. "Because some of the prompts that people do in these AIs is purely work-related. It's not like that's personal."

And work-related queries won't help the AI company build an accurate-enough dossier. "On the other hand, what are the things you're buying; which hotels are you going [to]; which restaurants are you going to; what are you spending time browsing, tells us so much more about you," he explained. Srinivas believes that Perplexity's browser users will be fine with such tracking because the ads should be more relevant to them. "We plan to use all the context to build a better user profile and, maybe you know, through our discover feed we could show some ads there," he said. The browser, named Comet, suffered setbacks but is on track to be launched in May, Srinivas said.

CNN looks at "one field that's really benefitting" from the use of AI: "the discovery of new medicines".

The founder/CEO of London-based LabGenius says their automated robotic system can assemble "thousands of different DNA constructs, each of which encodes a completely unique therapeutic molecule that we'll then test in the lab. This is something that historically would've had to have been done by hand." In short, CNN says, their system lets them "design and conduct experiments, and learn from them in a circular process that creates molecular antibodies at a rate far faster than a human researcher."

While many cancer treatments have debilitating side effects, CNN notes that LabGenius "reengineers therapeutic molecules so they can selectively target just the diseased cells." But more importantly, their founder says they've now discovered "completely novel molecules with over 400x improvement in [cell] killing selectivity."

A senior lecturer at Imperial College London tells CNN that LabGenius seems to have created an efficient process with seamless connections, identifying a series of antibodies that look like they can target cancer cells very selectively "that's as good as any results I've ever seen for this." (Although the final proof will be what happens when they test them on patients..) "And that's the next step for Labgenius," says CNN. "They aim to have their first therapeutics entering clinics in 2027."

Finally, CNN asks, if it succeeds is their potential beyond cancer treatment? "If you take one step further," says the company's CEO/founder, "you could think about knocking out senescent cells or aging cells as a way to treat the underlying cause of aging."

In a recent interview with Wired, Nobel laureate Venkatraman Ramakrishnan discusses his book Why We Die, in which he argues that death is not genetically programmed but rather a consequence of evolution favoring reproduction over longevity. Here are some of the most thought-provoking excerpts: WIRED: Professor Ramakrishnan, the crucial question in your book is why we die. But exactly what is death?
Venki Ramakrishnan: By death, we mean the irreversible loss of the ability to function as a coherent individual. It is the result of the failure of a critical system or apparatus, for example, heart, brain, lung, or kidney failure. In this sense there is an apparent paradox: When our organism, as a whole, is alive, millions of cells within us are constantly dying, and we do not even realize it. On the other hand, at the time of death, most of the cells in our bodies are still alive, and entire organs are still functioning and can be donated to people in need of transplantation. But at that point the body has lost the ability to function as a whole. In this sense, it is therefore important to distinguish between cell death and death of the individual.

Speaking of death and aging, you say in your most recent book that you "wanted to offer an objective look at our current understanding of the two phenomena." What was the biggest surprise or most deeply held belief that you had to reconsider while writing and researching this work?
There have been several surprises, actually. One is that death, contrary to what one might think, is not programmed by our genes. Evolution does not care how long we live, but merely selects the ability to pass on our genes, a process known as "fitness" in evolutionary biology. Thus, the traits that are selected are those that help us survive childhood and reproduce. And it is these traits, later in life, that cause aging and decline. Another curious finding was the fact that aging is not simply due to wear and tear on cells. Wear and tear happens constantly in all living things, yet different species have very different lifespans. Instead, lifespan is the result of a balance between the expenditure of resources needed to keep the organism functioning and repairing it and those needed to make it grow, mature, and keep it healthy until it reproduces and nurtures offspring.

Do you think there is an aspect of the biology of aging that is still deeply misunderstood by the general public?
Certainly the indefinite extension of life. Although in principle there are no laws or constraints that prevent us from living much longer than we do currently, great longevity or "eternal youth" are still far off, and very significant obstacles to increasing our maximum life expectancy remain. We must also beware of the pseudoscience -- and business -- around the concepts of "anti-aging" or the "reversal of aging." These are often baseless concepts, unsupported by hard evidence, even though they may use language that sounds scientific. Unfortunately, we are all afraid of growing old and dying, so we are very sensitive to any claim that promises to help us avoid it. [...]

What do you think are the social and ethical implications of our desire to live longer?
Ever since we became aware of our mortality, we have desired to defeat aging and death. However, our individual desires may conflict with what is best for society. A society in which fertility rates are very low and lifespans are very high will be a stagnant society, with very slow generational turnover, and probably much less dynamic and creative. The Nobel Prize-winning South American novelist Mario Vargas Llosa, who recently passed away, expressed it best: "Old age on the one hand terrifies us, but when we feel anxious, it is important to remember how terrible it would be to live forever. If eternity were guaranteed, all the incentives and illusions of life would vanish. This thought can help us live old age in a better way."

OpenAI has released two new AI models that can "think with images" during their reasoning process. The o3 and o4-mini models represent a significant advancement in visual perception, enabling them to manipulate images -- cropping, zooming, and rotating -- as part of their analytical process.

Unlike previous models, o3 and o4-mini can agentically use all of ChatGPT's tools, including web search, Python code execution, and image generation. This allows them to tackle multi-faceted problems by selecting appropriate tools based on the task at hand.

The models have set new state-of-the-art performance benchmarks across multiple domains. On visual tasks, o3 achieved 86.8% accuracy on MathVista and 78.6% on CharXiv-Reasoning, while o4-mini scored 91.6% on AIME 2024 competitions. In expert evaluations, o3 made 20% fewer major errors than its predecessor on complex real-world tasks. ChatGPT Plus, Pro, and Team users will see o3, o4-mini, and o4-mini-high in the model selector starting today, replacing o1, o3â'mini, and o3â'miniâ'high.

The European Commission is issuing burner phones and basic laptops to some US-bound staff to avoid the risk of espionage [non-paywalled source], a measure traditionally reserved for trips to China. Financial Times: Commissioners and senior officials travelling to the IMF and World Bank spring meetings next week have been given the new guidance, according to four people familiar with the situation. They said the measures replicate those used on trips to Ukraine and China, where standard IT kit cannot be brought into the countries for fear of Russian or Chinese surveillance.

"They are worried about the US getting into the commission systems," said one official. The treatment of the US as a potential security risk highlights how relations have deteriorated since the return of Donald Trump as US president in January. Trump has accused the EU of having been set up to "screw the US" and announced 20 per cent so-called reciprocal tariffs on the bloc's exports, which he later halved for a 90-day period.

At the same time, he has made overtures to Russia, pressured Ukraine to hand over control over its assets by temporarily suspending military aid and has threatened to withdraw security guarantees from Europe, spurring a continent-wide rearmament effort. "The transatlantic alliance is over," said a fifth EU official.

America's Department of Energy launched a federally funded R&D center in 1946 called the Argonne National Laboratory, and its research became the basis for all of the world's commercial nuclear reactors.

But it's now developed an AI-based tool that can "help operators run nuclear plants," reports the Wall Street Journal, citing comments from a senior nuclear engineer in the lab's nuclear science and engineering division: Argonne's plan is to offer the Parameter-Free Reasoning Operator for Automated Identification and Diagnosis, or PRO-AID, to new, tech-forward nuclear builds, but it's also eyeing the so-called dinosaurs, some of which are being resurrected by companies like Amazon and Microsoft to help power their AI data centers. The global push for AI is poised to fuel a sharp rise in electricity demand, with consumption from data centers expected to more than double by the end of the decade, the International Energy Agency said Thursday. The owners of roughly a third of U.S. nuclear plants are in talks with tech companies to provide electricity for those data centers, the Wall Street Journal has reported.

PRO-AID performs real-time monitoring and diagnostics using generative AI combined with large language models that notify and explain to staff when something seems amiss at a plant. It also uses a form of automated reasoning — which uses mathematical logic to encode knowledge in AI systems — to mimic the way a human operator asks questions and comes to understand how the plant is operating [according to Richard Vilim, a senior nuclear engineer within the lab's nuclear science and engineering division].

The tool can also help improve the efficiency of the personnel needed to operate a nuclear plant, Vilim said. That's especially important as older employees leave the workforce. "If we can hand off some of these lower-level capabilities to a machine, when someone retires, you don't need to replace him or her," he said... Part of the efficiency in updating technology will come from consolidating the monitoring staff at a utility's nuclear plants at a single, centralized location — much as gas-powered plants already do.
It hasn't found its way into a commercial nuclear plant yet, the article acknowledges. But the senior nuclear engineer points out that America's newer gas-powered plants ended up being more automated with digital monitoring tools. Meanwhile the average age of America's 94 operating nuclear reactors is 42 years old, and "nearly all" of them have had their licenses extended, according to the article. (Those nuclear plants still provide almost 20% of America's electricity.)

"A modern free society has an obligation to offer electronic tax filing that respects user freedom," says a Free Software Foundation blog post, "and the United States is not excluded from this responsibility."

"Governments, and/or the companies that they partner with, are responsible for providing free as in freedom software for necessary operations, and tax filing is no exception." For many years now, a large portion of [U.S.] taxpayers have filed their taxes electronically through proprietary programs like TurboTax. Millions of taxpayers are led to believe that they have no other option than to use nonfree software or Service as a Software Substitute (SaaSS), giving up their freedom as well as their most private financial information to a third-party company, in order to file their taxes...

While the options for taxpayers have improved slightly with the IRS's implementation of the IRS Direct File program [in 25 states], this program unfortunately does require users to hand over their freedom when filing taxes.... Taxpayers shouldn't have to use a program that violates their individual freedoms to file legally required taxes. While Direct File is a step in the right direction as the program isn't in the hands of a third-party entity, it is still nonfree software. Because Direct File is a US government-operated program, and ongoing in the process of being deployed to twenty-five states, it's not too late to call on the IRS to make Direct File free software.

In the meantime, if you need to file US taxes and are yet to file, we suggest filing your taxes in a way that respects your user freedom as much as possible, such as through mailing tax forms. Like with other government interactions that snatch away user freedom, choose the path that most respects your freedom.
Free-as-in-freedom software would decrease the chance of user lock-in, the FSF points out. But they list several other advantages, including:

• Repairability: With free software, there is no uncertain wait period or reliance on a proprietary provider to make any needed bug or security fixes.

• Transparency: Unless you can check what a program really does (or ask someone in the free software community to check for you), there is no way to know that the program isn't doing things you don't consent to it doing.

• Cybersecurity: While free software isn't inherently more secure than nonfree software, it does have a tendency to be more secure because many developers can continuously improve the program and search for errors that can be exploited. With proprietary programs like TurboTax, taxpayers and the U.S. government are dependent on TurboTax to protect the sensitive financial and personal information of millions with few (if any) outside checks and balances...

• Taxpayer dollars spent should actually benefit the taxpayers: Taxpayer dollars should not be used to fund third-party programs that seek to control users and force them to use their programs through lobbying....

"We don't have to accept this unjust reality: we can work for a better future, together," the blog post concludes (offering a "sample message" U.S. taxpayers could send to IRS Commissioner Danny Werfel).

"Take action today and help make electronic tax filing free as in freedom for everyone."

Celebrating Git's 20th anniversary, GitHub hosted a Q&A with Linus Torvalds, writes Its FOSS News.

Among the other revelations: He says his college-age daughter sent a texting saying he's better known at her CS lab for Git than for Linux, "because they actually use Git for everything there." Which he describes as "ridiculous" because he maintained it for just four months before handing it off to Junio Hamano who's been heading up development for more than 19 years now. "When it did what I needed," Torvalds says, "I lost interest." Linus then goes on to share how Git was never a big thing for him, but a means to an end that prevented the Linux kernel from descending into chaos over the absence of a version control system. You see, before Git, Linux used BitKeeper for version control, but its proprietary licensing didn't sit too well with other Linux contributors, and Linus Torvalds had to look for alternatives. As it turned out, existing tools like CVS and Subversion were too slow for the job at hand, prompting him to build a new tool from scratch, with the coding part just taking 10 days for an early self-hostable version of Git.

In its initial days, there were some teething issues, where users would complain about Git to Linus, even finding it too difficult to use, but things got calmer as the tool developed further.
Torvalds thinks some early adopters had trouble because they were coming from a background that was more like CVS. "The Git mindset, I came at it from a file system person's standpoint, where I had this disdain and almost hatred of most source control management projects, so I was not at all interested in maintaining the status quo."