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newest-starship-booster-is-significantly-damaged-during-testing-early-friday

Newest Starship booster is significantly damaged during testing early Friday

Friday morning’s failure was less energetic than an explosion of a Starship upper stage during testing at Massey’s in June. That incident caused widespread damage at the test site and a complete loss of the vehicle. The Booster 18 problem on Friday appeared to cause less damage to test infrastructure, and no Raptor engines had yet been installed on the vehicle.

Nevertheless, this is the point in the rocket development program at which SpaceX sought to be accelerating with development of Starship and reaching a healthy flight cadence in 2026. Many of the company’s near-term goals rely on getting Starship flying regularly and reliably.

A full view of super heavy booster 18’s catastrophic damage during testing tonight. Very significant damage to the entire LOX tank section.

11/21/25 pic.twitter.com/Kw8XeZ2qXW

— Starship Gazer (@StarshipGazer) November 21, 2025

With this upgraded vehicle, SpaceX wants to demonstrate booster landing and reuse, an upper stage tower catch next year, the beginning of operational Starlink deployment missions, and a test campaign for NASA’s Artemis Program. To keep this Moon landing program on track, it is critical that SpaceX and NASA conduct an on-orbit refueling test of Starship, which nominally was slated for the second half of 2026.

On this timeline, the company was aiming to conduct a crewed lunar landing for NASA during the second half of 2028. From an outside perspective, before this most recent failure, that timeline already seemed to be fairly optimistic.

One of the core attributes of SpaceX is that it diagnoses failure quickly, addresses problems, and gets back to flying as rapidly as possible. No doubt its engineers are already poring over the data captured Friday morning and quite possibly have already diagnosed the problem. The company is resilient, and it has ample resources.

Nevertheless, this is also a maturing program. The Starship vehicle launched for the first time in 2023, and its first stage made a successful flight two years ago. Losing the first stage of the newest generation of the vehicle, during the initial phases of testing, can only be viewed as a significant setback for a program with so much promise and so much to accomplish so soon.

Newest Starship booster is significantly damaged during testing early Friday Read More »

rfk-jr.’s-loathesome-edits:-cdc-website-now-falsely-links-vaccines-and-autism

RFK Jr.’s loathesome edits: CDC website now falsely links vaccines and autism

With ardent anti-vaccine activist Robert F. Kennedy Jr. as the country’s top health official, a federal webpage that previously laid out the ample evidence refuting the misinformation that vaccines cause autism was abruptly replaced Wednesday with an anti-vaccine screed that promotes the false link.

It’s a move that is sure to be celebrated by Kennedy’s fringe anti-vaccine followers, but will only sow more distrust, fear, and confusion among the public, further erode the country’s crumbling vaccination rates, and ultimately lead to more disease, suffering, and deaths from vaccine-preventable infections, particularly among children and the most vulnerable.

On the Centers for Disease Control and Prevention’s website titled “Autism and Vaccines,” the previous top “key point” accurately reported that: “Studies have shown that there is no link between receiving vaccines and developing autism spectrum disorder (ASD).”

But, under Kennedy, the top “key point”  is now the erroneous statement: “The claim ‘vaccines do not cause autism’ is not an evidence-based claim because studies have not ruled out the possibility that infant vaccines cause autism.”

The Department of Health and Human Services, which oversees the CDC, did not respond to questions from Ars Technica about the change, including why it appears to be dismissing the substantial number of high-quality studies providing evidence that there is no association between lifesaving immunizations and the neurodevelopmental disorder. It also did not address questions of whether CDC scientists were included in the rewrite.

An emailed response attributed to HHS spokesperson Andrew Nixon said, “We are updating the CDC’s website to reflect gold standard, evidence-based science.”

RFK Jr.’s loathesome edits: CDC website now falsely links vaccines and autism Read More »

in-1982,-a-physics-joke-gone-wrong-sparked-the-invention-of-the-emoticon

In 1982, a physics joke gone wrong sparked the invention of the emoticon


A simple proposal on a 1982 electronic bulletin board helped sarcasm flourish online.

Credit: Benj Edwards / DEC

On September 19, 1982, Carnegie Mellon University computer science research assistant professor Scott Fahlman posted a message to the university’s bulletin board software that would later come to shape how people communicate online. His proposal: use 🙂 and 🙁 as markers to distinguish jokes from serious comments. While Fahlman describes himself as “the inventor… or at least one of the inventors” of what would later be called the smiley face emoticon, the full story reveals something more interesting than a lone genius moment.

The whole episode started three days earlier when computer scientist Neil Swartz posed a physics problem to colleagues on Carnegie Mellon’s “bboard,” which was an early online message board. The discussion thread had been exploring what happens to objects in a free-falling elevator, and Swartz presented a specific scenario involving a lit candle and a drop of mercury.

That evening, computer scientist Howard Gayle responded with a facetious message titled “WARNING!” He claimed that an elevator had been “contaminated with mercury” and suffered “some slight fire damage” due to a physics experiment. Despite clarifying posts noting the warning was a joke, some people took it seriously.

A DECSYSTEM-20 KL-10 (1974) that was once located at the Living Computer Museum in Seattle.

A DECSYSTEM-20 KL-10 (1974) seen at the Living Computer Museum in Seattle. Scott Fahlman used a similar system with a terminal to propose his smiley concept. Credit: Jason Scott

The incident sparked immediate discussion about how to prevent such misunderstandings and the “flame wars” (heated arguments) that could result from misread intent.

“This problem caused some of us to suggest (only half seriously) that maybe it would be a good idea to explicitly mark posts that were not to be taken seriously,” Fahlman later wrote in a retrospective post published on his CMU website. “After all, when using text-based online communication, we lack the body language or tone-of-voice cues that convey this information when we talk in person or on the phone.”

On September 17, 1982, the next day after the misunderstanding on the CMU bboard, Swartz made the first concrete proposal: “Maybe we should adopt a convention of putting a star

in the subject field of any notice which is to be taken as a joke.”

Within hours, multiple Carnegie Mellon computer scientists weighed in with alternative proposals. Joseph Ginder suggested using % instead of *. Anthony Stentz proposed a nuanced system: “How about using for good jokes and % for bad jokes?” Keith Wright championed the ampersand (&), arguing it “looks funny” and “sounds funny.” Leonard Hamey suggested # because “it looks like two lips with teeth showing between them.”

Meanwhile, some Carnegie Mellon users were already using their own solution. A group on the Gandalf VAX system later revealed they had been using __/ as “universally known as a smile” to mark jokes. But it apparently didn’t catch on beyond that local system.

The winning formula

Two days after Swartz’s initial proposal, Fahlman entered the discussion with his now-famous post: “I propose that the following character sequence for joke markers: 🙂 Read it sideways.” He added that serious messages could use :-(, noting, “Maybe we should mark things that are NOT jokes, given current trends.”

What made Fahlman’s proposal work wasn’t that he invented the concept of joke markers—Swartz had done that. It wasn’t that he invented smile symbols at Carnegie Mellon, since the __/ already existed. Rather, Fahlman synthesized the best elements from the ongoing discussion: the simplicity of single-character proposals, the visual clarity of face-like symbols, the sideways-reading principle hinted at by Hamey’s #, and a complete binary system that covered both humor 🙂 and seriousness :-(.

Early computer terminals like the DEC VT-100 did not support graphics, requiring typographic solutions for displaying

Early computer terminals like the DEC VT-100 did not support graphics, requiring typographic solutions for displaying “images.” Credit: Digital Equipment Corporation

The simplicity of Fahlman’s emoticons was key to their adoption. The university’s network ran on large DEC mainframes accessed via video terminals (Fahlman himself made his posts from a terminal attached to a DECSYSTEM-20) that were strictly limited to the 95 printable characters of the US-ASCII set. With no ability to display graphics or draw pixels, Fahlman’s solution used the only tools available: standard punctuation marks rearranging the strict grid of the terminal screen into a “picture.”

The emoticons spread quickly across ARPAnet, the precursor to the modern Internet, reaching other universities and research labs. By November 10, 1982—less than two months later—Carnegie Mellon researcher James Morris began introducing the smiley emoticon concept to colleagues at Xerox PARC, complete with a growing list of variations. What started as an internal Carnegie Mellon convention over time became a standard feature of online communication, often simplified without the hyphen nose to 🙂 or :(, among many other variations.

Lost backup tapes

There’s an interesting coda to this story: For years, the original bboard thread existed only in fading memory. The bulletin board posts had been deleted, and Carnegie Mellon’s computer science department had moved to new systems. The old messages seemed lost forever.

Between 2001 and 2002, Mike Jones, a former Carnegie Mellon researcher then working at Microsoft, sponsored what Fahlman calls a “digital archaeology” project. Jeff Baird and the Carnegie Mellon facilities staff undertook a painstaking effort: locating backup tapes from 1982, finding working tape drives that could read the obsolete media, decoding old file formats, and searching for the actual posts. The team recovered the thread, revealing not just Fahlman’s famous post but the entire three-day community discussion that led to it.

The recovered messages, which you can read here, show how collaboratively the emoticon was developed—not a lone genius moment but an ongoing conversation proposing, refining, and building on the group’s ideas. Fahlman had no idea his synthesis would become a fundamental part of how humans express themselves in digital text, but neither did Swartz, who first suggested marking jokes, or the Gandalf VAX users who were already using their own smile symbols.

From emoticon to emoji

While Fahlman’s text-based emoticons spread across Western online culture and remained text-character-based for a long time, Japanese mobile phone users in the late 1990s developed a parallel system: emoji. For years, Shigetaka Kurita’s 1999 set for NTT DoCoMo was widely cited as the original. However, recent discoveries have revealed earlier origins. SoftBank released a picture-based character set on mobile phones in 1997, and the Sharp PA-8500 personal organizer featured selectable icon characters as early as 1988.

Unlike emoticons that required reading sideways, emoji were small pictographic images that could convey emotion, objects, and ideas with more detail. When Unicode standardized emoji in 2010 and Apple added an emoji keyboard to iOS in 2011, the format exploded globally. Today, emoji have largely replaced emoticons in casual communication, though Fahlman’s sideways faces still appear regularly in text messages and social media posts.

IBM's Code Page 437 character set included a smiley face as early as 1981.

IBM’s Code Page 437 character set included a smiley face as early as 1981. Credit: Matt Giuca

As Fahlman himself notes on his website, he may not have been “the first person ever to type these three letters in sequence.” Others, including teletype operators and private correspondents, may have used similar symbols before 1982, perhaps even as far back as 1648. Author Vladimir Nabokov suggested before 1982 that “there should exist a special typographical sign for a smile.” And the original IBM PC included a dedicated smiley character as early as 1981 (perhaps that should be considered the first emoji).

What made Fahlman’s contribution significant wasn’t absolute originality but rather proposing the right solution at the right time in the right context. From there, the smiley could spread across the emerging global computer network, and no one would ever misunderstand a joke online again. 🙂

Photo of Benj Edwards

Benj Edwards is Ars Technica’s Senior AI Reporter and founder of the site’s dedicated AI beat in 2022. He’s also a tech historian with almost two decades of experience. In his free time, he writes and records music, collects vintage computers, and enjoys nature. He lives in Raleigh, NC.

In 1982, a physics joke gone wrong sparked the invention of the emoticon Read More »

study:-kids’-drip-paintings-more-like-pollock’s-than-those-of-adults

Study: Kids’ drip paintings more like Pollock’s than those of adults

Taylor thought there might be a way to put this new hypothesis to the test, particularly in light of numerous experimental studies showing the prevalence of fractals in human physiology: walking, dancing, martial arts, and balancing motion, such as postural sway while standing. “Let’s think about that balance mechanism,” he said. “You go off-balance, you’re swaying around, so you’ve got big sways mixed in with smaller and smaller and smaller sways. It’s a multi-scale thing.”

Drip, drip, drip

Serendipitously, Taylor even had a built-in laboratory environment in which to conduct such experiments: the public “Dripfests” he regularly organized, in which both adults and children had the opportunity to create their own Pollock-like artworks by splattering diluted paint on sheets of paper on the floor. Life changes intervened before Taylor could implement the experiment, and the concept got pushed to the back burner. But he revived it a few years ago.

The study subjects were 18 children between the ages of four and six, and 34 adults ages 18 to 25. The age discrepancy was crucial, since those two groups are at markedly different stages of biomechanical balance development. And this time around, Taylor and his co-authors didn’t just look at the fractal dimensions of the resulting paintings, i.e., measuring the self-similar scaling behavior of the splatter patterns. They also looked at something called “lacunarity,” examining the variations in the gaps between paint clusters.

The results: Splatter paintings by adults had higher paint densities and wider, more varied paint trajectories. The children’s paintings had smaller fine-scale patterns, more gaps between paint clusters, and simpler one-dimensional trajectories that didn’t change direction nearly as often. “They both have coarse-scale motions, but the adults have lots of fine-scale structure,” said Taylor. “Not only did the kids have less fine structure, the fine structure they did have was very clumpy, while the adults’ fine structure was very uniform. So when the person is moving and how they regain their balance, we think it’s to do with how much structure there is at these different scales and how uniform it is.”

Study: Kids’ drip paintings more like Pollock’s than those of adults Read More »

celebrated-game-developer-rebecca-heineman-dies-at-age-62

Celebrated game developer Rebecca Heineman dies at age 62

From champion to advocate

During her later career, Heineman served as a mentor and advisor to many, never shy about celebrating her past as a game developer during the golden age of the home computer.

Her mentoring skills became doubly important when she publicly came out as transgender in 2003. She became a vocal advocate for LGBTQ+ representation in gaming and served on the board of directors for GLAAD. Earlier this year, she received the Gayming Icon Award from Gayming Magazine.

Andrew Borman, who serves as director of digital preservation at The Strong National Museum of Play in Rochester, New York, told Ars Technica that her influence made a personal impact wider than electronic entertainment. “Her legacy goes beyond her groundbreaking work in video games,” he told Ars. “She was a fierce advocate for LGBTQ rights and an inspiration to people around the world, including myself.”

The front cover of

The front cover of Dragon Wars on the Commodore 64, released in 1989. Credit: MobyGames

In the Netflix documentary series High Score, Heineman explained her early connection to video games. “It allowed me to be myself,” she said. “It allowed me to play as female.”

“I think her legend grew as she got older, in part because of her openness and approachability,” journalist Ernie Smith told Ars. “As the culture of gaming grew into an online culture of people ready to dig into the past, she remained a part of it in a big way, where her war stories helped fill in the lore about gaming’s formative eras.”

Celebrated to the end

Heineman was diagnosed with adenocarcinoma in October 2025 after experiencing shortness of breath at the PAX game convention. After diagnostic testing, doctors found cancer in her lungs and liver. That same month, she launched a GoFundMe campaign to help with medical costs. The campaign quickly surpassed its $75,000 goal, raising more than $157,000 from fans, friends, and industry colleagues.

Celebrated game developer Rebecca Heineman dies at age 62 Read More »

how-louvre-thieves-exploited-human-psychology-to-avoid-suspicion—and-what-it-reveals-about ai

How Louvre thieves exploited human psychology to avoid suspicion—and what it reveals about AI

On a sunny morning on October 19 2025, four men allegedly walked into the world’s most-visited museum and left, minutes later, with crown jewels worth 88 million euros ($101 million). The theft from Paris’ Louvre Museum—one of the world’s most surveilled cultural institutions—took just under eight minutes.

Visitors kept browsing. Security didn’t react (until alarms were triggered). The men disappeared into the city’s traffic before anyone realized what had happened.

Investigators later revealed that the thieves wore hi-vis vests, disguising themselves as construction workers. They arrived with a furniture lift, a common sight in Paris’s narrow streets, and used it to reach a balcony overlooking the Seine. Dressed as workers, they looked as if they belonged.

This strategy worked because we don’t see the world objectively. We see it through categories—through what we expect to see. The thieves understood the social categories that we perceive as “normal” and exploited them to avoid suspicion. Many artificial intelligence (AI) systems work in the same way and are vulnerable to the same kinds of mistakes as a result.

The sociologist Erving Goffman would describe what happened at the Louvre using his concept of the presentation of self: people “perform” social roles by adopting the cues others expect. Here, the performance of normality became the perfect camouflage.

The sociology of sight

Humans carry out mental categorization all the time to make sense of people and places. When something fits the category of “ordinary,” it slips from notice.

AI systems used for tasks such as facial recognition and detecting suspicious activity in a public area operate in a similar way. For humans, categorization is cultural. For AI, it is mathematical.

But both systems rely on learned patterns rather than objective reality. Because AI learns from data about who looks “normal” and who looks “suspicious,” it absorbs the categories embedded in its training data. And this makes it susceptible to bias.

The Louvre robbers weren’t seen as dangerous because they fit a trusted category. In AI, the same process can have the opposite effect: people who don’t fit the statistical norm become more visible and over-scrutinized.

It can mean a facial recognition system disproportionately flags certain racial or gendered groups as potential threats while letting others pass unnoticed.

A sociological lens helps us see that these aren’t separate issues. AI doesn’t invent its categories; it learns ours. When a computer vision system is trained on security footage where “normal” is defined by particular bodies, clothing, or behavior, it reproduces those assumptions.

Just as the museum’s guards looked past the thieves because they appeared to belong, AI can look past certain patterns while overreacting to others.

Categorization, whether human or algorithmic, is a double-edged sword. It helps us process information quickly, but it also encodes our cultural assumptions. Both people and machines rely on pattern recognition, which is an efficient but imperfect strategy.

A sociological view of AI treats algorithms as mirrors: They reflect back our social categories and hierarchies. In the Louvre case, the mirror is turned toward us. The robbers succeeded not because they were invisible, but because they were seen through the lens of normality. In AI terms, they passed the classification test.

From museum halls to machine learning

This link between perception and categorization reveals something important about our increasingly algorithmic world. Whether it’s a guard deciding who looks suspicious or an AI deciding who looks like a “shoplifter,” the underlying process is the same: assigning people to categories based on cues that feel objective but are culturally learned.

When an AI system is described as “biased,” this often means that it reflects those social categories too faithfully. The Louvre heist reminds us that these categories don’t just shape our attitudes, they shape what gets noticed at all.

After the theft, France’s culture minister promised new cameras and tighter security. But no matter how advanced those systems become, they will still rely on categorization. Someone, or something, must decide what counts as “suspicious behavior.” If that decision rests on assumptions, the same blind spots will persist.

The Louvre robbery will be remembered as one of Europe’s most spectacular museum thefts. The thieves succeeded because they mastered the sociology of appearance: They understood the categories of normality and used them as tools.

And in doing so, they showed how both people and machines can mistake conformity for safety. Their success in broad daylight wasn’t only a triumph of planning. It was a triumph of categorical thinking, the same logic that underlies both human perception and artificial intelligence.

The lesson is clear: Before we teach machines to see better, we must first learn to question how we see.

Vincent Charles, Reader in AI for Business and Management Science, Queen’s University Belfast, and Tatiana Gherman, Associate Professor of AI for Business and Strategy, University of Northampton.  This article is republished from The Conversation under a Creative Commons license. Read the original article.

How Louvre thieves exploited human psychology to avoid suspicion—and what it reveals about AI Read More »

gop-overhaul-of-broadband-permit-laws:-cities-hate-it,-cable-companies-love-it

GOP overhaul of broadband permit laws: Cities hate it, cable companies love it

US Rep. Richard Hudson (R-N.C.), the subcommittee chairman, defended the bills at today’s hearing. “These reforms will add much-needed certainty, predictability, and accountability to the broadband permitting process and help expedite deployment,” he said.

Cable lobby group NCTA called the hearing “important progress” toward “the removal of regulatory impediments that slow deployment to unserved areas.” Another cable lobby group, America’s Communications Association, said the permitting reform bills “will strip away red tape and enable broadband, cable, and telecommunications providers to redirect resources to upgrading and expanding their networks and services, especially in rural areas.”

$42 billion program delays

Much of the debate centered on a $42 billion federal program that was created in a November 2021 law to subsidize broadband construction in areas without modern access. The Trump administration threw out a Biden-era plan for distributing the Broadband Equity, Access, and Deployment (BEAD) program funds, forcing state governments to rewrite their plans and cut costs, delaying the projects’ start. Money still hasn’t been distributed, though the Trump administration today said it approved the rewritten plans of 18 states and territories.

Hudson alleged that BEAD suffered from “four years of delays caused by the Biden-Harris administration,” though the Biden administration had approximately three years to set up the program. Hudson said that “permitting reform is essential” to prevent the money from being “tied up in further unnecessary reviews and bureaucratic delays.”

The bills set varying deadlines for different types of network projects, ranging from 60 days to 150 days. One bill demands that permit fees for BEAD construction projects be based on the local government’s “actual and direct costs.” Another stipulates that certain environmental and historical preservation reviews aren’t required when removing equipment targeted by a 2019 law on foreign technology deemed to be a security risk.

Rep. Doris Matsui (D-Calif.), the subcommittee’s top Democrat, said during the hearing that she won’t support “proposals that force local governments to meet tight deadlines without any extra staff or funding.” She said that if the “shot clock” specified in the legislation “runs out, the project is automatically approved. That may sound like a way to speed things up but in reality, it cuts out community input, leads to mistakes and sets us up for more delays down the road. If we want faster reviews, we should give local communities more help, not take away their say.”

GOP overhaul of broadband permit laws: Cities hate it, cable companies love it Read More »

faced-with-naked-man,-doordasher-demands-police-action;-they-arrest-her-for-illegal-surveillance

Faced with naked man, DoorDasher demands police action; they arrest her for illegal surveillance

“The only justice I’m getting is exposing this man and having posted that video,” she added. “And it has gone viral. Now he can live with shame and embarrassment if people have seen it.”

“I’m the victim!” she said. “Is this making sense to any-fucking-body?”

Her numerous videos attracted huge followings—anywhere from 5 million to 30 million views each—and DoorDash eventually felt the need to respond.

“DoorDash never deactivates someone for reporting [sexual assault]—full stop,” said the company.

But, it added, “posting a video of a customer in their home, and disclosing their personal details publicly, is a clear violation of our policies. That is the sole reason that this Dasher’s account was deactivated, along with the customer’s, while we investigated. We’ve also ensured that the Dasher has full access to their earnings.”

Meanwhile, the police were doing something—but not something that Henderson wanted.

The cops determined that the nude man in question “was incapacitated and unconscious on his couch due to alcohol consumption.” Being drunk and naked inside your own home apparently does not qualify as sexual assault on a delivery driver, and the police department said in a press release yesterday that “the investigation by the Oswego Police Department determined that no sexual assault occurred.”

As part of their investigation, the cops found that Henderson had filmed the man and “subsequently posted the video to social media, where it drew significant attention.” This shifted their attention to Henderson’s decision to film and upload the video without the man’s consent.

The police eventually arrested Henderson, who is now charged with two felonies: “Unlawful Surveillance in the Second Degree” and “Dissemination of an Unlawful Surveillance Image in the First Degree.” She was released after being charged, and her case will be heard by the Oswego City Court.

Henderson has stopped releasing videos on TikTok about the situation.

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cdc-data-confirms-us-is-2-months-away-from-losing-measles-elimination-status

CDC data confirms US is 2 months away from losing measles elimination status

Unsurprising

This 9171 subtype “continues, unfortunately uninterrupted, across multiple jurisdictions,” David Sugerman, who leads the CDC measles response, said on the call.

According to the Times, local health officials are pessimistic that they’ll be able to stamp out the virus’s spread, saying that vaccination efforts have had “limited” impact. As Ars reported previously, vaccination rates are dangerously low in two measles hotspots: northwestern Mohave County, Arizona, and the southwest health district of Utah. Vaccination rates among kindergartners in the 2024–2025 school year were 78.4 percent and 80.7 percent, respectively. That’s well below the 95 percent target needed to keep the virus from spreading onward in the communities.

In addition, public health officials in Arizona and Utah have reported barriers to responding to the outbreak. Around a quarter of cases don’t know how they were exposed, suggesting cases and exposures are being missed. In late October, health officials in Salt Lake County, Utah, said that a person likely infected with measles refused to cooperate with their investigation, leaving them unable to confirm the probable case.

David Kimberlin, who sits on a panel of experts that analyzes measles data for the United States’ elimination status review, told the Times, “It would not surprise me in the least if there’s continued spread across these next several months.”

To date, the CDC has tallied 1,723 measles cases across 42 states. Most (87 percent) of those cases were linked to outbreaks, of which there have been 45 this year. For context, there were 16 outbreaks and a total of 285 measles cases in the US last year. This year’s measles cases mark a 33-year high.

CDC data confirms US is 2 months away from losing measles elimination status Read More »

google-ceo:-if-an-ai-bubble-pops,-no-one-is-getting-out-clean

Google CEO: If an AI bubble pops, no one is getting out clean

Market concerns and Google’s position

Alphabet’s recent market performance has been driven by investor confidence in the company’s ability to compete with OpenAI’s ChatGPT, as well as its development of specialized chips for AI that can compete with Nvidia’s. Nvidia recently reached a world-first $5 trillion valuation due to making GPUs that can accelerate the matrix math at the heart of AI computations.

Despite acknowledging that no company would be immune to a potential AI bubble burst, Pichai argued that Google’s unique position gives it an advantage. He told the BBC that the company owns what he called a “full stack” of technologies, from chips to YouTube data to models and frontier science research. This integrated approach, he suggested, would help the company weather any market turbulence better than competitors.

Pichai also told the BBC that people should not “blindly trust” everything AI tools output. The company currently faces repeated accuracy concerns about some of its AI models. Pichai said that while AI tools are helpful “if you want to creatively write something,” people “have to learn to use these tools for what they’re good at and not blindly trust everything they say.”

In the BBC interview, the Google boss also addressed the “immense” energy needs of AI, acknowledging that the intensive energy requirements of expanding AI ventures have caused slippage on Alphabet’s climate targets. However, Pichai insisted that the company still wants to achieve net zero by 2030 through investments in new energy technologies. “The rate at which we were hoping to make progress will be impacted,” Pichai said, warning that constraining an economy based on energy “will have consequences.”

Even with the warnings about a potential AI bubble, Pichai did not miss his chance to promote the technology, albeit with a hint of danger regarding its widespread impact. Pichai described AI as “the most profound technology” humankind has worked on.

“We will have to work through societal disruptions,” he said, adding that the technology would “create new opportunities” and “evolve and transition certain jobs.” He said people who adapt to AI tools “will do better” in their professions, whatever field they work in.

Google CEO: If an AI bubble pops, no one is getting out clean Read More »

fans’-reverse-engineered-servers-for-sony’s-defunct-concord-might-be-in-trouble

Fans’ reverse-engineered servers for Sony’s defunct Concord might be in trouble

A group of dedicated coders has managed to partially revive online gameplay for the PC version of Concord, the team-based shooter that Sony famously shut down just two weeks after its launch last summer. Now, though, the team behind that fan server effort is closing off new access after Sony started issuing DMCA takedown requests of sample gameplay videos.

The Game Post was among the first to publicize the “Concord Delta” project, which reverse-engineered the game’s now-defunct server API to get a functional multiplayer match running over the weekend. “The project is still [a work in progress], it’s playable, but buggy,” developer Red posted in the game’s Discord channel, as reported by The Game Post. “Once our servers are fully set up, we’ll begin doing some private playtesting.”

Accessing the “Concord Delta” servers reportedly requires a legitimate PC copy of the game, which is relatively hard to come by these days. Concord only sold an estimated 25,000 copies across PC and PS5 before being shut down last year. And that number doesn’t account for the players who accepted a full refund for their $40 purchase after the official servers shut down.

Better safe than sorry

Red accompanied their Discord announcement of the first “playable” Concord match in months with two YouTube videos showing sample gameplay (“Don’t mind my horrible aim, I spend so much time reverse engineering that I no longer have the time to actually play the game,” he warned viewers). In short order, though, those videos were taken down “due to a copyright claim from MarkScan Enforcement,” a company that has a history of working with Sony on DMCA requests.

Fans’ reverse-engineered servers for Sony’s defunct Concord might be in trouble Read More »

wyoming-dinosaur-mummies-give-us-a-new-view-of-duck-billed-species

Wyoming dinosaur mummies give us a new view of duck-billed species


Exquisitely preserved fossils come from a single site in Wyoming.

The scaly skin of a crest over the back of the juvenile duck-billed dinosaur Edmontosaurus annectens. Credit: Tyler Keillor/Fossil Lab

Edmontosaurus annectens, a large herbivore duck-billed dinosaur that lived toward the end of the Cretaceous period, was discovered back in 1908 in east-central Wyoming by C.H. Sternberg, a fossil collector. The skeleton, later housed at the American Museum of Natural History in New York and nicknamed the “AMNH mummy,” was covered by scaly skin imprinted in the surrounding sediment that gave us the first approximate idea of what the animal looked like.

More than a century later, a team of paleontologists led by Paul C. Sereno, a professor of organismal biology at the University of Chicago, got back to the same exact place where Sternberg dug up the first Edmontosaurus specimen. The researchers found two more Edmontosaurus mummies with all fleshy external anatomy imprinted in a sub-millimeter layer of clay. For the first time, we uncovered an accurate image of what Edmontosaurus really looked like, down to the tiniest details, like the size of its scales and the arrangement of spikes on its tail. And we were in for at least a few surprises.

Evolving images

Our view of Edmontosaurus changed over time, even before Sereno’s study. The initial drawing of Edmontosaurus was made in 1909 by Charles R. Knight, a famous paleoartist, who based his visualization on the first specimen found by Sternberg. “He was accurate in some ways, but he made a mistake in that he drew the crest extending throughout the entire length of the body,” Sereno says. The mummy Knight based his drawing on had no tail, so understandably, the artist used his imagination to fill in the gaps and made the Edmontosaurus look a little bit like a dragon.

An update to Knight’s image came in 1984 due to Jack Horner, one of the most influential American paleontologists, who found a section of Edmontosaurus tail that had spikes instead of a crest. “The specimen was not prepared very accurately, so he thought the spikes were rectangular and didn’t touch each other,” Sereno explains. “In his reconstruction he extended the spikes from the tail all the way to the head—which was wrong,” Sereno says. Over time, we ended up with many different, competing visions of Edmontosaurus. “But I think now we finally nailed down the way it truly looked,” Sereno claims.

To nail it down, Sereno’s team retraced the route to where Sternberg found the first Edmontosaurus mummy. This was not easy, because the team had to rely on Sternberg’s notes, which often referred to towns and villages that were no longer on the map. But based on interviews with Wyoming farmers, Sereno managed to reach the “mummy zone,” an area less than 10 kilometers in diameter, surprisingly abundant in Cretaceous fossils.

“To find dinosaurs, you need to understand geology,” Sereno says. And in the “mummy zone,” geological processes created something really special.

Dinosaur templating

The fossils are found in part of the Lance Formation, a geological formation that originated in the last three or so million years of the Cretaceous period, just before the dinosaurs’ extinction. It extends through North Dakota, South Dakota, Wyoming, Montana, and even to parts of Canada. “The formation is roughly 200 meters thick. But when you approach the mummy zone—surprise! The formation suddenly goes up to a thousand meters thick,” Sereno says. “The sedimentation rate in there was very high for some reason.”

Sereno thinks the most likely reason behind the high sedimentation rate was frequent and regular flooding of the area by a nearby river. These floods often drowned the unfortunate dinosaurs that roamed there and covered their bodies with mud and clay that congealed against a biofilm which formed at the surface of decaying carcasses. “It’s called clay templating, where the clay sticks to the outside of the skin and preserves a very thin layer, a mask, showing how the animal looked like,” Sereno says.

Clay templating is a process well-known by scientists studying deep-sea invertebrate organisms because that’s the only way they can be preserved. “It’s just no one ever thought it could happen to a large dinosaur buried in a river,” Sereno says. But it’s the best explanation for the Wyoming mummy zone, where Sereno’s team managed to retrieve two more Edmontosaurus skeletons surrounded by clay masks under 1 millimeter thick. These revealed the animal’s appearance with amazing, life-like accuracy.

As a result, the Edmontosaurus image got updated one more time. And some of the updates were rather striking.

Delicate elephants

Sereno’s team analyzed the newly discovered Edmontosaurus mummies with a barrage of modern imaging techniques like CT scans, X-rays, photogrammetry, and more. “We created a detailed model of the skin and wrapped it around the skeleton—some of these technologies were not even available 10 years ago,” Sereno says. The result was an updated Edmontosaurus image that includes changes to the crest, the spikes, and the appearance of its skin. Perhaps most surprisingly, it adds hooves to its legs.

It turned out both Knight and Horner were partially right about the look of Edmontosaurus’ back. The fleshy crest, as depicted by Knight, indeed started at the top of the head and extended rearward along the spine. The difference was that there was a point where this crest changed into a row of spikes, as depicted in the Horner version. The spikes were similar to the ones found on modern chameleons, where each spike corresponds one-to-one with the vertebrae underneath it.

“Another thing that was stunning in Edmontosaurus was the small size of its scales,” Sereno says. Most of the scales were just 1 to 4 millimeters across. They grew slightly larger toward the bottom of the tail, but even there they did not exceed 1 centimeter. “You can find such scales on a lizard, and we’re talking about an animal the size of an elephant,” Sereno adds. The skin covered with these super-tiny scales was also incredibly thin, which the team deduced from the wrinkles they found in their imagery.

And then came the hooves. “In a hoof, the nail goes around the toe and wraps, wedge-shaped, around its bottom,” Sereno explains. The Edmontosaurus had singular, central hooves on its fore legs with a “frog,” a triangular, rubbery structure at the underside. “They looked very much like equine hooves, so apparently these were not invented by mammals,” Sereno says. “Dinosaurs had them.” The hind legs that supported most of the animal’s weight, on the other hand, had three wedge-shaped hooves wrapped around three digits and a fleshy heel toward the back—a structure found in modern-day rhinos.

“There are so many amazing ‘firsts’ preserved in these duck-billed mummies,” Sereno says. “The earliest hooves were documented in a land vertebrate, the first confirmed hooved reptile, and the first hooved four-legged animal with different forelimb and hindlimb posture.” But Edmontosaurus, while first in many aspects, was not the last species Sereno’s team found in the mummy zone.

Looking for wild things

“When I was walking through the grass in the mummy zone for the first time, the first hill I found a T. rex in a concretion. Another mummy we found was a Triceratops,” Sereno says. Both these mummies are currently being examined and will be covered in the upcoming papers published by Sereno’s team. And both are unique in their own way.

The T. rex mummy was preserved in a surprisingly life-like pose, which Sereno thinks indicates the predator might have been buried alive. Edmontosaurus mummies, on the other hand, were positioned in a death pose, which meant the animals most likely died up to a week before the mud covered their carcasses. This, in principle, should make the T. rex clay mask even more true-to-life, since there should be no need to account for desiccation and decay when reconstructing the animal’s image.

Sereno, though, seems to be even more excited about the Triceratops mummy. “We already found Triceratops scales were 10 times larger than the largest scales on the Edmontosaurus, and its skin had no wrinkles, so it was significantly thicker. And we’re talking about animals of similar size living in the same area and in the same time,” Sereno says. To him, this could indicate that the physiology of the Triceratops and Edmontosaurus was radically different.

“We are in the age of discovery. There are so many things to come. It’s just the beginning,” Sereno says. “Anyway, the next two mummies we want to cover are the Triceratops and the T. Rex. And I can already tell you what we have with the Triceratops is wild,” he adds.

Science, 2025. DOI: 10.1126/science.adw3536

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Jacek Krywko is a freelance science and technology writer who covers space exploration, artificial intelligence research, computer science, and all sorts of engineering wizardry.

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