Today Seoul's Personal Information Protection Commission "said DeepSeek would no longer be available for download until a review of its personal data collection practices was carried out," reports AFP. A number of countries have questioned DeepSeek's storage of user data, which the firm says is collected in "secure servers located in the People's Republic of China"... This month, a slew of South Korean government ministries and police said they blocked access to DeepSeek on their computers. Italy has also launched an investigation into DeepSeek's R1 model and blocked it from processing Italian users' data. Australia has banned DeepSeek from all government devices on the advice of security agencies. US lawmakers have also proposed a bill to ban DeepSeek from being used on government devices over concerns about user data security. More details from the Associated Press: The South Korean privacy commission, which began reviewing DeepSeek's services last month, found that the company lacked transparency about third-party data transfers and potentially collected excessive personal information, said Nam Seok [director of the South Korean commission's investigation division]... A recent analysis by Wiseapp Retail found that DeepSeek was used by about 1.2 million smartphone users in South Korea during the fourth week of January, emerging as the second-most-popular AI model behind ChatGPT.

Read more of this story at Slashdot.

One thing I've learned by going through our reader submissions over the years is that WTFs never start with just one mistake. They're a compounding sequence of systemic failures. When we have a "bad boss" story, where an incompetent bully puts an equally incompetent sycophant in charge of a project, it's never just about the bad boss- it's about the system that put the bad boss in that position. For every "Brillant" programmer, there's a whole slew of checkpoints which should have stopped them before they went too far.

With all that in mind, today we're doing a news roundup about the worst boss of them all, the avatar of Dunning-Kruger, Elon Musk. Because over the past month, a lot has happened, and there are enough software and IT related WTFs that I need to talk about them.

For those who haven't been paying attention, President Trump assembled a new task force called the "Department of Government Efficiency", aka "DOGE". Like all terrible organizations, its mandate is unclear, its scope is unspecified, and its power to execute is unbounded.

Now, before we get into it, we have to talk about the name. Like so much of Musk's persona, it's an unfunny joke. In this case, just a reference to Dogecoin, a meme currency based on a meme image that Musk has "invested" in. This is part of a pattern of unfunny jokes, like strolling around Twitter headquarters with a sink, or getting your product lines to spell S3XY. This has nothing to do with the news roundup, I just suspect that Musk's super-villain origin story was getting booed off the stage at a standup open-mic night and then he got roasted by the emcee. Everything else he's ever done has been an attempt to convince the world that he's cool and popular and funny.

On of the core activities at DOGE is to be a "woodchipper", as Musk puts it. Agencies Musk doesn't like are just turned off, like USAID.

The United States Agency for International Development handles all of the US foreign aid. Now, there's certainly room for debate over how, why, and how much aid the US provides abroad, and that's a great discussion that I wouldn't have here. But there's a very practical consideration beyond the "should/should not" debate: people currently depend on it.

Farmers in the US depend on USAID purchasing excess crops to stabilize food prices. Abroad, people will die without the support they've been receiving.

Even if you think aid should be ended entirely, simply turning off the machine while people are using it will cause massive harm. But none of this should come as a surprise, because Musk loves to promote his "algorithm".

Calling it an "algorithm" is just a way to make it sound smarter than it is; what Musk's "algorithm" really is is a 5-step plan of bumper-sticker business speak that ranges from fatuous to incompetent, and not even the fawning coverage in the article I linked can truly disguise it.

For example, step 1 is "question every requirement", which is obvious- of course, if you're trying to make this more efficient, you should question the requirements. As a sub-head on that, though, Musk says that requirements should be traceable directly to individuals, not departments. On one hand, this could be good for accountability, but on the other, any sufficiently complex system is going to have requirements that have to be built through collaboration, where any individual claiming the requirement is really just doing so to be a point of accountability.

Step 2, also has a blindingly obvious label: "delete any part of the process you can". Oh, very good, why didn't I think of that! But Musk has a "unique" way of figuring out what parts of the process can be deleted: "You may have to add them back later. In fact, if you do not end up adding back at least 10 percent of them, then you didn’t delete enough."

Or, to put it less charitably: break things, and then unbreak them when you realize what you broke, if you do.

We can see how this plays out in practice, because Musk played this game when he took over Twitter. And sure, it's revenue has collapsed, but we don't care about that here. What we care about are stupid IT stories, like the new owner renting a U-Haul and hiring a bunch of gig workers to manually decommission an expensive data center. Among the parts of the process Musk deleted were:

• Shutting down the servers in an orderly fashion
• Using the proper tools to uninstall the server racks
• Protecting the flooring which wasn't designed to roll 2,500lb server racks
• Not wiping the hard drives which contained user data and proprietary information
• Not securing that valuable data with anything more than a set of Home Depot padlocks and Apple AirTags

And, shockingly, despite thinking this was successful in the moment, the resulting instability caused by just ripping a datacenter out led Musk to admit this was a mistake.

So let's take a look at how this plays out with DOGE. One of the major efforts was taking over the Treasury Department's IT systems. These are systems which handle $5 trillion in payments every year. And who do we put in change? Some random wet-behind-the-ears dev with a history of racist posts on the Internet.

Ostensibly, they were there to "audit" payments, so was their access read only? Did they have admin access? Were they actually given write access? Could they change code? Nobody is entirely certain. Even if it was only read-only, there are plenty of questions about what kind of security risk that constitutes, which means forensic analysis to understand the breach, which is being called the largest data breach in history.

Part of the goal was to just stop payments, following the Muskian "Break things first, and unbreak them if it was a mistake," optimization strategy. Stop paying people, and if you find out you needed to pay them, then start paying them again. Step 2 of the "algorithm".

Speaking of payments, many people in the US depend on payments from the Social Security Administration. This organization, founded in 1935 as part of the New Deal, handles all sorts of benefits, including retirement benefits. According to Musk, it's absolutely riddled with fraud.

What are his arguments? Well, for starters, he worries that SSNs are not de-duplicated- that is, the same SSN could appear multiple times in the database.

Social Security Administration has, since the 1940s, been trying to argue against using SSNs as identifiers for any purpose other than Social Security. They have a history page which is a delightful read as a "we can't say the Executive Orders and laws passed which expanded the use of SSNs into domains where they shouldn't have been used was a bad idea, but we can be real salty about it," document. It's passive-aggression perfected. But you and I already know you should never expect SSNs to be a key.

Also, assuming the SSA systems are mainframe systems, using flat file databases, we would expect a large degree of denormalization. Seeing "unique" keys repeated in the dataset is normal.

On the same subject, Musk has decided that people over 150 years old are collecting Social Security benefits. Now, one could assume that this kind of erroneous data pattern is fraud, or we could wonder if there's an underlying reason to the pattern.

Now, I've seen a lot of discussion on the Internet about this being an epoch related thing, which is certainly possible, but I think the idea that it's related to ISO8601 is obviously false- ISO8601 is just a string representation of dates, and also was standardized well after COBOL and well after SSA started computerizing. Because the number 150 was used, some folks have noted that would be 1875, and have suspected that the date of the Metre Convention is the epoch.

I can't find any evidence that any of this is true, mind you, but we're also reacting to a tweet by a notorious moron, and I have to wonder: did he maybe round off 5 years? Because 1870 is exactly 65 years before 1935- the year Social Security started, and 65 years is the retirement age where you can start collecting Social Security. Thus, the oldest date which the SSA would ever care about was 1870. Though, there's another completely un-epoch related reason why you could have Social Security accounts well older than 150 years: your benefits can continue to be paid out to your spouse and dependents after your death. If an 80 year old marries a 20 year old, and dies the next day, that 20 year old could collect benefits on that account.

The key point I'm making is that "FRAUUUDDDD!!1111!!!" is really not the correct reaction to a system you don't understand. And while there may be many better ways to handle dates within the SSA's software, the system predates computers and has needed to maintain its ability to pay benefits for 90 years. While you could certainly make improvements, what you can't do is take a big "algorithm" Number 2 all over it.

Which, with that in mind, the idea that these people are trying to get access to a whole slew of confidential taxpayer information is I'm sure going to go *great.

There are so, so many more things that could be discussed here, but let's close with the DOGE website. Given that DOGE operates by walking into government agencies and threatening to call Elon, there are some serious concerns over transparency. Who is doing what, when, why and with what authority? The solution? Repost a bunch of tweets to a website with a .gov domain name.

Which, you'd think that spinning up a website that's just that would be easy. Trivially easy. "Security issues" shouldn't even be part of the conversation. But in actuality, the database was unsecured and anyone could modify the site.

In the end, the hacked website is really just Elon Musk's "algorithm" improved: instead of breaking things that are already working, you just start with a broken website.

[Advertisement] BuildMaster allows you to create a self-service release management platform that allows different teams to manage their applications. Explore how!

California is "considering state ownership of one or more oil refineries," reports the Los Angeles Times. They call the idea "one item on a list of options presented by the California Energy Commission to ensure steady gas supplies as oil companies pull back from the refinery business in the state." "The state recognizes that they're on a pathway to more refinery closures," said Skip York, chief energy strategist at energy consultant Turner Mason & Co. The risk to consumers and the state's economy, he said, is gasoline supply disappearing faster than consumer demand, resulting in fuel shortages, higher prices and severe logistical challenges. Gasoline demand is falling in California, albeit slowly, for two reasons: more efficient gasoline engines, and the increasing number of electric vehicles on the road. Gasoline consumption in California peaked in 2005 and fell 15% through 2023, according to the Union of Concerned Scientists. Electric vehicles, including plug-in hybrids, now represent about 25% of annual new car sales... The drop in demand is causing fundamental strategic shifts among the state's major oil refiners: Chevron, Marathon, Phillips 66, PBF Energy and Valero. Already, two California refineries have ceased producing gasoline to make biodiesel fuel for use in heavy-duty trucks, a cleaner-fuel alternative that enjoys rich state subsidies. More worrisome, the Phillips 66 refinery complex in Wilmington, just outside Los Angeles, plans to close down permanently by year's end. That leaves eight major refineries in California capable of producing gasoline. The closure of any one would create serious gasoline supply issues, industry analysts say. But both Chevron and Valero are contemplating permanent refinery closures. The implications? "Demand will decline gradually," York said, "but supply will fall out in chunks." What's unknown is how many refineries will close, and how soon, and how that will affect supply and demand... A state refinery takeover seems like a radical idea, but the fact that it's being considered demonstrates the seriousness of the supply issue. It's one of several option laid out by the California Energy Commission, which is fulfilling a legislative order to find ways to ensure "a reliable supply of affordable and safe transportation fuels in California." The options list is disparate: Ship in more gasoline from Asia; regulate refineries on the order of electric utilities; cap profit margins; and many more. 92% of California's gas is produced in refineries, the Times reports. But the special gasoline blends required to reduce air pollution "also drive up gasoline prices and raise the risk of shortages, because little such gasoline is produced outside California."

Read more of this story at Slashdot.

For over a decade Karol Herbst has been a developer on the open-source Nouveau driver, a reverse-engineered NVIDIA graphics driver for Linux. "He went on to become employed by Red Hat," notes Phoronix. "While he's known more these days for his work on the Mesa 3D Graphics Library and the Rusticl OpenCL driver for it, he's still remained a maintainer of the Nouveau kernel driver." But Saturday Herbst stepped down as a nouveau kernel maintainer, in a mailing list message that begins "I was pondering with myself for a while if I should just make it official that I'm not really involved in the kernel community anymore, neither as a reviewer, nor as a maintainer." (Another message begins "I often thought about at least contributing some patches again once I find the time, but...") Their resignation message hints at some long-running unhappiness. "I got burned out enough by myself caring about the bits I maintained, but eventually I had to realize my limits. The obligation I felt was eating me from inside. It stopped being fun at some point and I reached a point where I simply couldn't continue the work I was so motivated doing as I've did in the early days." And they point to one specific discussion on the kernel mailing list February 8th as "The moment I made up my mind." It happened in a thread about whether Rust would create difficulty for maintainers. (Someone had posted that "The all powerful sub-system maintainer model works well if the big technology companies can employ omniscient individuals in these roles, but those types are a bit hard to come by.") In response, someone else had posted "I'll let you in a secret. The maintainers are not 'all-powerful'. We are the 'thin blue line' that is trying to keep the code to be maintainable and high quality. Like most leaders of volunteer organization, whether it is the Internet Engineerint Task Force (the standards body for the Internet), we actually have very little power. We can not *command* people to work on retiring technical debt, or to improve testing infrastructure, or work on some particular feature that we'd very like for our users. All we can do is stop things from being accepted..." Saturday Herbst wrote: The moment I made up my mind about this was reading the following words written by a maintainer within the kernel community: "we are the thin blue line" This isn't okay. This isn't creating an inclusive environment. This isn't okay with the current political situation especially in the US. A maintainer speaking those words can't be kept. No matter how important or critical or relevant they are. They need to be removed until they learn. Learn what those words mean for a lot of marginalized people. Learn about what horrors it evokes in their minds. I can't in good faith remain to be part of a project and its community where those words are tolerated. Those words are not technical, they are a political statement. Even if unintentionally, such words carry power, they carry meanings one needs to be aware of. They do cause an immense amount of harm. The phrase thin blue line "typically refers to the concept of the police as the line between law-and-order and chaos," according to Wikipedia, but more recently became associated with a"countermovement" to the Black Lives Matter movement and "a number of far-right movements in the U.S." Phoronix writes: Lyude Paul and Danilo Krummrich both of Red Hat remain Nouveau kernel maintainers. Red Hat developers are also working on developing NOVA as the new Rust-based open-source NVIDIA kernel driver leveraging the GSP interface for Turing GPUs and newer.

Read more of this story at Slashdot.

The Cleveland Review of Books ponders a new 697-page hardcover collection of American poet/author Kevin Killian's.... reviews from Amazon. (Over 2,000 of 'em — written over the course of 16 years.) In 2012, he wrote three substantial paragraphs about the culinary perfection that can be found in a German Potato Salad Can (15 oz., Pack of 12). Often, he'd open with something like "as an American boy growing up in rural France." Killian grew up on Long Island, New York. He didn't take himself (or much else) too seriously.... [Killian] was also a member of the New Narrative Movement... Writers acknowledge the subjectivity of, and the author's active presence in, the text... Amazon reviews are a near-perfect vehicle for New Narrative's tenets... Killian camouflaged his reviews in the cadence of the Amazon everyman. He embraced all the stylistic quirks, choppy sentence fragments and run-ons, either darting from point to point like a distracted squirrel or leaning heavily into declarative statements.... About the biographer of Elia Kazan, he tells us, "Schickel is in love with the sound of his voice, and somewhere in the shredded coleslaw of his prose, a decent book lies unavailable to us, about the real Elia Kazan...." [T]he writing can move from very funny to strangely poignant. One of my favorites, his review of MacKenzie Smelling Salts, begins with a tragically tongue-in-cheek anecdote about his Irish grandfather: "My Irish grandfather used to keep a bottle of MacKenzie's smelling salts next to his desk. He was the principal at Bushwick High School (in Brooklyn, NY) in the 1930s and 1940s, before it became a dangerous place to live in, and way before Bushwick regained its current state of desirable area for new gentrification. And he kept one at home as well, in case of a sudden shock. At school, he would press the saturated cotton under the nostrils of poor girls who realized they were pregnant in health class, before he expelled them." He ends with his own reasons for using smelling salts, citing wildly diverging examples: his grief upon learning of the death of Paul Walker from the Fast & Furious film franchise abuts Killian's disappointment at not being selected for the 2014 Whitney Biennial. Apparently, both were deeply traumatic experiences for Kevin... ["it took my wife a minute or two to locate the MacKenzie's, but passing it under my nose, as though she were my grandfather ministering to the pregnant girls of yore..."] No one wants to be forgotten. I do not think it's a coincidence Killian started writing the reviews after his heart attack. Why did he keep going? Most likely, it was because he enjoyed the writing and got something out of it — pleasure, practice, and a bit of notoriety. But mainly, I think the project grew out of habit and compulsion. In a similar way, the graffiti art of Keith Haring, Jean-Paul Basquiat, and Banksy began in subway tunnels, one tag and mural at a time, until it grew into bodies of work collected and coveted by museums worldwide. In Killian's case, the global commerce platform was his ugly brick wall, his subway platform, and his train car. Coming away, I like to imagine him gleefully typing, manipulating the Amazon review forums into something that had little to do with the consumerism they had been created to support: Killian tagging a digital wall to remind everyone KEVIN WAS HERE. The book reviewer points out that the collection's final review, for the memoir Never Mind the Moon: My Time at the Royal Opera House, is dated a month before Killian died. "Unfortunately, the editors of this volume did not preserve the Helpful/Not Helpful ratings, only the stars." Putting it all in perspective, the book critic notes that "In 2023, Amazon reported that one hundred million customers submitted one or more product reviews to the site. The content of most is dross, median." Though the critic then also acknowledges that "I haven't read any of Killian's other work."

Read more of this story at Slashdot.

Nicholas Carr wrote The Shallows: What the Internet Is Doing to Our Brains. But his new book looks at how social media and digital communication technologies "are changing us individually and collectively," writes the Los Angeles Review of Books. The book's title? Superbloom: How Technologies of Connection Tear Us Apart . But if these systems are indeed tearing us apart, the reasons are neither obvious nor simple. Carr suggests that this isn't really about the evil behavior of our tech overlords but about how we have "been telling ourselves lies about communication — and about ourselves.... Well before the net came along," says Carr, "[the] evidence was telling us that flooding the public square with more information from more sources was not going to open people's minds or engender more thoughtful discussions. It wasn't even going to make people better informed...." At root, we're the problem. Our minds don't simply distill useful knowledge from a mass of raw data. They use shortcuts, rules of thumb, heuristic hacks — which is how we were able to think fast enough to survive on the savage savanna. We pay heed, for example, to what we experience most often. "Repetition is, in the human mind, a proxy for facticity," says Carr. "What's true is what comes out of the machine most often...." Reality can't compete with the internet's steady diet of novelty and shallow, ephemeral rewards. The ease of the user interface, congenial even to babies, creates no opportunity for what writer Antón Barba-Kay calls "disciplined acculturation." Not only are these technologies designed to leverage our foibles, but we are also changed by them, as Carr points out: "We adapt to technology's contours as we adapt to the land's and the climate's." As a result, by designing technology, we redesign ourselves. "In engineering what we pay attention to, [social media] engineers [...] how we talk, how we see other people, how we experience the world," Carr writes. We become dislocated, abstracted: the self must itself be curated in memeable form. "Looking at screens made me think in screens," writes poet Annelyse Gelman. "Looking at pixels made me think in pixels...." That's not to say that we can't have better laws and regulations, checks and balances. One suggestion is to restore friction into these systems. One might, for instance, make it harder to unreflectively spread lies by imposing small transactional costs, as has been proposed to ease the pathologies of automated market trading. An option Carr doesn't mention is to require companies to perform safety studies on their products, as we demand of pharmaceutical companies. Such measures have already been proposed for AI. But Carr doubts that increasing friction will make much difference. And placing more controls on social media platforms raises free speech concerns... We can't change or constrain the tech, says Carr, but we can change ourselves. We can choose to reject the hyperreal for the material. We can follow Samuel Johnson's refutation of immaterialism by "kicking the stone," reminding ourselves of what is real.

Read more of this story at Slashdot.

"A robotic lander from Texas-based Firefly Aerospace is now in orbit around the Moon," reports Spaceflight Now, "and going through its final preparations to land in the coming weeks." Its arrival comes nearly a month after the spacecraft launched onboard a Falcon 9 rocket from pad 39A at NASA's Kennedy Space Center. This is the third mission launched as part of the agency's Commercial Lunar Payload Services (CLPS) program, an initiative designed to bring science and technology demonstrations to the Moon at a cheaper cost... Manifested on this lander are 10 NASA payloads, which cover a range of objectives. Those include the Lunar Instrumentation for Subsurface Thermal Exploration with Rapidity (LISTER) instrument, which will drill between 2- to 3-meters into the Moon's surface to study the heat flow; and the Stereo Cameras for Lunar Plume-Surface Studies (SCALPSS) 1.1 instrument, which will use a series of cameras to capture the plume generated at landing to help create a three-dimensional model... "We saw that for the type of advanced scientific or engineering measurements we wanted to make, the instruments were small enough and compact enough that we could actually fly 10," [said Joel Kearns, deputy associate administrator for Exploration in NASA's Science Mission Directorate], "if someone could actually schedule them to get all of their operations done over the 14 Earth day lunar daytime." Firefly Aerospace ended up winning that bid and carries with it the most NASA instruments manifested on a single Commercial Lunar Payload Services lander so far. Friday on X.com Firefly Aerospace wished a happy Valentine's Day to "all those on Earth who dare to Dream Big." "Blue Ghost has been capturing stunning imagery of our planet throughout its journey," Spaceflight Now says in a 12-minute video. And Friday on X.com Firefly posted Blue Ghost's first spectacular shots of the moon as it approaches — along with its special message for Valentine's Day. "I love you to the Moon, but not back — I'm staying there."

Read more of this story at Slashdot.

gwolf (Slashdot reader #26,339) writes: On Friday, February 14, Libertarian Argentinian president, Javier Milei, promoted the just-created $LIBRA cryptocoin, created by the Viva la libertad project, strongly aligned with his political party, La Libertad Avanza. Milei tweeted, "This private project will be devoted to promote growth of the Argentinian economy, funding small startups and enterprises. The world wants to invest in Argentina!" It is worth noting that the project's website was registered a mere three minutes before Milei tweeted his endorsement. The cryptocoin quickly reached a $4.6 billion market cap... Only to instantaneously lose 89% of its value, with nine core investers pulling the rug from under the enthusiast investors. More details from the blog Web3 Is Going Just Great: [W]ithin hours of the launch, insiders began selling off their holdings of the token. The token had been highly concentrated among insiders, with around 82% of the token held in a small cluster of apparently insider addresses. Those insiders cashed out around $107 million, crashing the token price by around 95%. After the crash, Milei deleted his tweet promoting the project. He later claimed he was "not aware of the details of the project."

Read more of this story at Slashdot.

"What if time is not as fixed as we thought?" That's the question raised in an announcement from the University of Surrey. "Imagine that instead of flowing in one direction — from past to future — time could flow forward or backward due to processes taking place at the quantum level." This is the thought-provoking discovery made by researchers at the University of Surrey, as a new study reveals that opposing arrows of time can theoretically emerge from certain quantum systems. For centuries, scientists have puzzled over the arrow of time — the idea that time flows irreversibly from past to future. While this seems obvious in our experienced reality, the underlying laws of physics do not inherently favour a single direction. Whether time moves forward or backwards, the equations remain the same.... This discovery provided a mathematical foundation for the idea that time-reversal symmetry still holds in open quantum systems — suggesting that time's arrow may not be as fixed as we experience it... The research offers a fresh perspective on one of the biggest mysteries in physics. Understanding the true nature of time could have profound implications for quantum mechanics, cosmology and beyond. The university's announcement includes this quote from co-author Thomas Guff, a research fellow in quantum thermodynamics. "The surprising part of this project was that even after making the standard simplifying assumption to our equations describing open quantum systems, the equations still behaved the same way whether the system was moving forwards or backwards in time. When we carefully worked through the maths, we found this behaviour had to be the case because a key part of the equation, the 'memory kernel,' is symmetrical in time." And their research reminds readers that "the fundamental laws of physics in both the classical and the quantum realms do not manifest any intrinsic arrow of time. Newton's equations are time-reversal symmetric, as well as Schrödinger's equation. As a consequence, backward-in-time motion is equally possible as forward-in-time motion... Our findings are consistent with the second law of thermodynamics and emphasise the distinction between the concepts of irreversibility and time-reversal symmetry."

Read more of this story at Slashdot.

Christie's auction house notes that an AI-generated "portrait" of an 18th-century French gentleman recently sold for $432,500. (One member of the Paris-based collective behind the work says "we found that portraits provided the best way to illustrate our point, which is that algorithms are able to emulate creativity.") But the blog post from Christie's goes on to acknowledge that AI researchers "are still addressing the fundamental question of whether the images produced by their networks can be called art at all." . One way to do that, surely, is to conduct a kind of visual Turing test, to show the output of the algorithms to human evaluators, flesh-and-blood discriminators, and ask if they can tell the difference. "Yes, we have done that," says Ahmed Elgammal [director of the Art and Artificial Intelligence Lab at Rutgers University in New Jersey]. "We mixed human-generated art and art from machines, and posed questions — direct ones, such as 'Do you think this painting was produced by a machine or a human artist?' and also indirect ones such as, 'How inspiring do you find this work?'. We measured the difference in responses towards the human art and the machine art, and found that there is very little difference. Actually, some people are more inspired by the art that is done by machine." Can such a poll constitute proof that an algorithm is capable of producing indisputable works of art? Perhaps it can — if you define a work of art as an image produced by an intelligence with an aesthetic intent. But if you define art more broadly as an attempt to say something about the wider world, to express one's own sensibilities and anxieties and feelings, then AI art must fall short, because no machine mind can have that urge — and perhaps never will. This also begs the question: who gets credit for the resulting work. The AI, or the creator of its algorithm... Or can the resulting work be considered a "conceptual art" collaboration — taking place between a human and an algorithm?

Read more of this story at Slashdot.

"Meta is involved in a class action lawsuit alleging copyright infringement, a claim the company disputes..." writes the tech news site Hot Hardware. But the site adds that newly unsealed court documents "reveal that Meta allegedly used a minimum of 81.7TB of illegally torrented data sourced from shadow libraries to train its AI models." Internal emails further show that Meta employees expressed concerns about this practice. Some employees voiced strong ethical objections, with one noting that using content from sites like LibGen, known for distributing copyrighted material, would be unethical. A research engineer with Meta, Nikolay Bashlykov, also noted that "torrenting from a corporate laptop doesn't feel right," highlighting his discomfort surrounding the practice. Additionally, the documents suggest that these concerns, including discussions about using data from LibGen, reached CEO Mark Zuckerberg, who may have ultimately approved the activity. Furthermore, the documents showed that despite these misgivings, employees discussed using VPNs to mask Meta's IP address to create anonymity, enabling them to download and share torrented data without it being easily traced back to the company's network.

Read more of this story at Slashdot.

Yahoo Finance shares an interesting prediction. Amazon has an "under-the-radar robot push" that "could boost its profit margins big-time, Morgan Stanley managing director Brian Nowak said." Nowak said Amazon has quietly developed six significant next-generation fulfillment centers in the past three years that bring automation front and center... Amazon now has industrial robots that can increase efficiencies across the storage, inventory management, pick and packing, and sorting order fulfillment processes. Fulfillment costs make up about 20% of Amazon's retail revenue, so he reasoned that automation could have a significant impact on long-term operating profit potential. Nowak says if 30% to 40% of Amazon's US units were fulfilled through next-generation robotics-enabled warehouses by 2030, it could lead to $10 billion-plus of savings... The investments in robots may already be paying off. Amazon's North America retail operating margins on a trailing 12-month basis have risen for five straight quarters. North America operating margins improved to 6.2% from 4.6% a year ago. Nowak made the remarks on a Yahoo Finance podcast (at the top of their article) after touring one of Amazon's robot-enhanced sites in Louisiana. He believes robotics can drive down Amazon's costs compared to other retailers like Target (which he sees as lagging behind Amazon on robotics). Meanwhile workers at an Amazon facility in North Carolina held a vote Saturday on whether to unionize. But roughly 75% of the workers voted against unionization.

Read more of this story at Slashdot.

Luigi Mangione faces first-degree murder charges. On Valentine's Day he posted his first public comments online, reports People magazine, with Mangione saying he's grateful for the support he's receiving: Earlier this week, Mangione accepted $297,000 in donations to cover his legal bills from the December 4 Legal Committee, which is stewarding a fundraiser on GiveSendGo for his legal defense, according to a post shared by the group. (A source with knowledge of the situation confirmed to PEOPLE that the post was genuine.) The committee — named after the death date of Thompson — said the donations were offered by over 10,000 individual supporters. Mangione's lead attorney, Karen Friedman Agnifilo, told the committee that Mangione "very much appreciates the outpouring of support...." His federal murder charges could land him the death penalty, and he also faces state murder charges that accuse him of committing an act of terrorism.

Read more of this story at Slashdot.

In January the TIOBE Index (estimating programming language popularity) declared Python their language of the year. (Though it was already #1 in their rankings, it had showed a 9.3% increase in their ranking system, notes InfoWorld.) TIOBE CEO Paul Jansen says this reflects how easy Python is to learn, adding that "The demand for new programmers is still very high" (and that "developing applications completely in AI is not possible yet.") In fact on February's version of the index, the top ten looks mostly static. The only languages dropping appear to be very old languages. Over the last 12 months C and PHP have both fallen on the index — C from the #2 to the #4 spot, and PHP from #10 all the way to #14. (Also dropping is Visual Basic, which fell from #9 to #10.) But TechRepublican cites another factor that seems to be affecting the rankings: language speed. Fast programming languages are gaining popularity, TIOBE CEO Paul Jansen said in the TIOBE Programming Community Index in February. Fast programming languages he called out include C++ [#2], Go [#8], and Rust [#13 — up from #18 a year ago]. Also, according to the updated TIOBE rankings... - C++ held onto its place at second from the top of the leaderboard. - Mojo and Zig are following trajectories likely to bring them into the top 50, and reached #51 and #56 respectively in February. "Now that the world needs to crunch more and more numbers per second, and hardware is not evolving fast enough, speed of programs is getting important. Having said this, it is not surprising that the fast programming languages are gaining ground in the TIOBE index," Jansen wrote. The need for speed helped Mojo [#51] and Zig [#56] rise... Rust reached its all-time high in the proprietary points system (1.47%.), and Jansen expects Go to be a common sight in the top 10 going forward.

Read more of this story at Slashdot.

Bloomberg reports that Apple's long-promised overhaul for Siri "is facing engineering problems and software bugs, threatening to postpone or limit its release, according to people with knowledge of the matter...." Last June, Apple touted three major enhancements coming to Siri: - the ability to tap into a customer's data to better answer queries and take actions. - a new system that would let the assistant more precisely control apps. - the capability to see what's currently on a device's screen and use that context to better serve users.... The goal is to ultimately offer a more versatile Siri that can seamlessly tap into customers' information and communication. For instance, users will be able to ask for a file or song that they discussed with a friend over text. Siri would then automatically retrieve that item. Apple also has demonstrated the ability for Siri to quickly locate someone's driver's license number by reviewing their photos... Inside Apple, many employees testing the new Siri have found that these features don't yet work consistently... The control enhancements — an upgraded version of something called App Intents — are central to the operation of the company's upcoming smart home hub. That product, an AI device for controlling smart home appliances and FaceTime, is slated for release later this year. And Amazon is also struggling with an AI upgrade for its digital assistant, reports the Washington Post: The "smarter and more conversational" version of Alexa will not be available until March 31 or later, the employee said, at least a year and a half after it was initially announced in response to competition from OpenAI's ChatGPT. Internal messages seen by The Post confirmed the launch was originally scheduled for this month but was subsequently moved to the end of March... According to internal documents seen by The Post, new features of the subscriber-only, AI-powered Alexa could include the ability to adopt a personality, recall conversations, order takeout or call a taxi. Some of the new Alexa features are similar to Alexa abilities that were previously available free through partnerships with companies like Grubhub and Uber... The AI-enhanced version of Alexa in development has been repeatedly delayed due to problems with incorrect answers, the employee working on the launch told The Post. As a popular product that is a decade old, the Alexa brand is valuable, and the company is hesitant to risk customer trust by launching a product that is not reliable, the person said.

Read more of this story at Slashdot.

Long-time Slashdot reader shanen has been testing AI clients. (They report that China's DeepSeek "turned out to be extremely good at explaining why I should not trust it. Every computer security problem I ever thought of or heard about and some more besides.") Then they wondered if there's also government censorship: It's like the accountant who gets asked what 2 plus 2 is. After locking the doors and shading all the windows, the accountant whispers in your ear: "What do you want it to be...?" So let me start with some questions about DeepSeek in particular. Have you run it locally and compared the responses with the website's responses? My hypothesis is that your mileage should differ... It's well established that DeepSeek doesn't want to talk about many "political" topics. Is that based on a distorted model of the world? Or is the censorship implemented in the query interface after the model was trained? My hypothesis is that it must have been trained with lots of data because the cost of removing all of the bad stuff would have been prohibitive... Unless perhaps another AI filtered the data first? But their real question is: what would it take to trust an AI? "Trust" can mean different things, including data-collection policies. ("I bet most of you trust Amazon and Amazon's secret AIs more than you should..." shanen suggests.) Can you use an AI system without worrying about its data-retention policies? And they also ask how many Slashdot readers have read Ken Thompson's "Reflections on Trusting Trust", which raises the question of whether you can ever trust code you didn't create yourself. So is there any way an AI system can assure you its answers are accurate and trustworthy, and that it's safe to use? Share your own thoughts and experiences in the comments. What would it take for you to trust an AI?

Read more of this story at Slashdot.

"Reddit Answers" uses generative AI to answer questions using what past Reddittors have posted. Announced in December, Reddit now plans to integrate it into their search results, reports TechCrunch, with Reddit's CEO saying the idea has "incredible monetization potential." And yet Reddit's stock fell 14% this week. CNBC's headline? "Reddit shares plunge after Google algorithm change contributes to miss in user numbers." A Google search algorithm change caused some "volatility" with user growth in the fourth quarter, but the company's search-related traffic has since recovered in the first quarter, Reddit CEO Steve Huffman said in a letter to shareholders. "What happened wasn't unusual — referrals from search fluctuate from time to time, and they primarily affect logged-out users," Huffman wrote. "Our teams have navigated numerous algorithm updates and did an excellent job adapting to these latest changes effectively...." Reddit has said it is working to convince logged-out users to create accounts as logged-in users, which are more lucrative for its business. As Yahoo Finance once pointed out, Reddit knew this day would come, acknowledging in its IPO filing that "changes in internet search engine algorithms and dynamics could have a negative impact on traffic for our website and, ultimately, our business." And in the last three months of 2024 Reddit's daily active users dropped, Yahoo Finance reported this week. But logged-in users increased by 400,000 — while logged-out users dropped by 600,000 (their first drop in almost two years). Marketwatch notes that analyst Josh Beck sees this as a buying opportunity for Reddit's stock: Beck pointed to comments from Reddit's management regarding a sharp recovery in daily active unique users. That was likely driven by Google benefiting from deeper Reddit crawling, by the platform uncollapsing comments in search results and by a potential benefit from spam-reduction algorithm updates, according to the analyst. "While the report did not clear our anticipated bar, we walk away encouraged by international upside," he wrote.

Read more of this story at Slashdot.

"Reddit Answers" uses generative AI to answer questions using what past Reddittors have posted. Announced in December, Reddit now plans to integrate it into their search results, reports TechCrunch, with Reddit's CEO saying the idea has "incredible monetization potential." And yet Reddit's stock fell 14% this week. CNBC's headline? "Reddit shares plunge after Google algorithm change contributes to miss in user numbers." A Google search algorithm change caused some "volatility" with user growth in the fourth quarter, but the company's search-related traffic has since recovered in the first quarter, Reddit CEO Steve Huffman said in a letter to shareholders. "What happened wasn't unusual — referrals from search fluctuate from time to time, and they primarily affect logged-out users," Huffman wrote. "Our teams have navigated numerous algorithm updates and did an excellent job adapting to these latest changes effectively...." Reddit has said it is working to convince logged-out users to create accounts as logged-in users, which are more lucrative for its business. As Yahoo Finance once pointed out, Reddit knew this day would come, acknowledging in its IPO filing that "changes in internet search engine algorithms and dynamics could have a negative impact on traffic for our website and, ultimately, our business." And in the last three months of 2024 Reddit's daily active users dropped, Yahoo Finance reported this week. But logged-in users increased by 400,000 — while logged-out users dropped by 600,000 (their first drop in almost two years). Marketwatch notes that analyst Josh Beck sees this as a buying opportunity for Reddit's stock: Beck pointed to comments from Reddit's management regarding a sharp recovery in daily active unique users. That was likely driven by Google benefiting from deeper Reddit crawling, by the platform uncollapsing comments in search results and by a potential benefit from spam-reduction algorithm updates, according to the analyst. "While the report did not clear our anticipated bar, we walk away encouraged by international upside," he wrote.

Read more of this story at Slashdot.

"Security researchers say the Chinese government-linked hacking group, Salt Typhoon, is continuing to compromise telecommunications providers," reports TechCrunch, "despite the recent sanctions imposed by the U.S. government on the group." TechRadar reports that the Chinese state-sponsored threat actor is "hitting not just American organizations, but also those from the UK, South Africa, and elsewhere around the world." The latest intrusions were spotted by cybersecurity researchers from Recorded Future, which said the group is targeting internet-exposed web interfaces of Cisco's IOS software that powers different routers and switches. These devices have known vulnerabilities that the threat actors are actively exploiting to gain initial access, root privileges, and more. More than 12,000 Cisco devices were found connected to the wider internet, and exposed to risk, Recorded Future further explained. However, Salt Typhoon is focusing on a "smaller subset" of telecoms and university networks. "The hackers attempted to exploit vulnerabilities in at least 1,000 Cisco devices," reports NextGov, "allowing them to access higher-level privileges of the hardware and change their configuration settings to allow for persistent access to the networks they're connected on... Over half of the Cisco appliances targeted by Salt Typhoon were located in the U.S., South America and India, with the rest spread across more than 100 countries." Between December and January, the unit, widely known as Salt Typhoon, "possibly targeted" — based on devices that were accessed — offices in the University of California, Los Angeles, California State University, Loyola Marymount University and Utah Tech University, according to a report from cyber threat intelligence firm Recorded Future... The Cisco devices were mainly associated with telecommunications firms, but 13 of them were linked to the universities in the U.S. and some in other nations... "Often involved in cutting-edge research, universities are prime targets for Chinese state-sponsored threat activity groups to acquire valuable research data and intellectual property," said the report, led by the company's Insikt Group, which oversees its threat research. The cyberspies also compromised Cisco platforms at a U.S.-based affiliate of a prominent United Kingdom telecom operator and a South African provider, both unnamed, the findings added. The hackers also "carried out a reconnaissance of multiple IP addresses" owned by Mytel, a telecom operator based in Myanmar... "In 2023, Cisco published a security advisory disclosing multiple vulnerabilities in the web UI feature in Cisco IOS XE software," a Cisco spokesperson said in a statement. "We continue to strongly urge customers to follow recommendations outlined in the advisory and upgrade to the available fixed software release."

Read more of this story at Slashdot.

Hackaday reports: Good news for everyone who cannot get enough from improbably shaped boats that get referred to as a bench: the current owner (NTI Group) of the copyright has announced that 3DBenchy has been released into the public domain. This comes not too long after Prusa's Printables website had begun to purge all derived models to adhere to the 'no derivatives' license. According to NTI, the removal of these derived models was not requested by NTI, but by a third-party report, unbeknownst to NTI or the original creator of the model. Recognizing its importance to the community, 3DBenchy can now be downloaded & modified freely. NTI worked together with the original creator [Daniel Norée] and former Creative Tools CEO [Paulo Kiefe] to transition 3DBenchy and the associated website to the public domain More details at Tom's Hardware and Fabbaloo.

Read more of this story at Slashdot.