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samedi 22 novembre 2025

Infant botulism outbreak doubles; ByHeart confirms bacteria in formula

Infant botulism outbreak doubles; ByHeart confirms bacteria in formula

ByHeart announced on Thursday that its own testing identified the bacterium that causes botulism in its baby formula, which is linked to an ongoing infant botulism outbreak that has doubled since last week.

As of November 19, there have been 31 cases across 15 states—up from 15 cases in 12 states reported last week. All 31 cases so far have been hospitalized. No deaths have been reported.

The outbreak was announced on November 8, and ByHeart was, at first, unusually aggressive in deflecting blame for linked illnesses.

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Microsoft makes Zork I, II, and III open source under MIT License

Microsoft makes Zork I, II, and III open source under MIT License

Zork, the classic text-based adventure game of incalculable influence, has been made available under the MIT License, along with the sequels Zork II and Zork III.

The move to take these Zork games open source comes as the result of the shared work of the Xbox and Activision teams along with Microsoft’s Open Source Programs Office (OSPO). Parent company Microsoft owns the intellectual property for the franchise.

Only the code itself has been made open source. Ancillary items like commercial packaging and marketing assets and materials remain proprietary, as do related trademarks and brands.

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vendredi 21 novembre 2025

Scientists found the key to accurate Maya eclipse tables

Scientists found the key to accurate Maya eclipse tables

Astronomical events such as eclipses were central to Maya culture, reflected in the care the Maya took to keep accurate calendars to aid in celestial predictions. Among the few surviving Maya texts is the so-called Dresden Codex, which includes a table of eclipses. Researchers have concluded that this table was repurposed from earlier lunar month tables, rather than being created solely for eclipse prediction, according to a paper published in the journal Science Advances. They also figured out the mechanism by which the Maya ensured that table would be accurate over a very long time period.

The Maya used three primary calendars: a count of days, known as the Long Count; a 260-day astrological calendar called the Tzolk’in; and a 365-day year called the Haab’. Previous scholars have speculated on how awe-inspiring solar or lunar eclipses must have seemed to the Maya, but our understanding of their astronomical knowledge is limited. Most Maya books were burned by Spanish conquistadors and Catholic priests. Only four hieroglyphic codices survive: the Dresden Codex, the Madrid Codex, the Paris Codex, and the Grolier Codex.

The Dresden Codex dates back to the 11th or 12th century and likely originated near Chichen Itza. It can be folded accordion-style and is 12 feet long in its unfolded state. The text was deciphered in the early 20th century and describes local history as well as astronomical lunar and Venus tables.

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Trump revives unpopular Ted Cruz plan to punish states that impose AI laws

Trump revives unpopular Ted Cruz plan to punish states that impose AI laws

President Trump is considering an executive order that would require the federal government to file lawsuits against states with AI laws, and prevent states with AI laws from obtaining broadband funding.

The draft order, “Eliminating State Law Obstruction of National AI Policy,” would order the attorney general to “establish an AI Litigation Task Force whose sole responsibility shall be to challenge State AI laws, including on grounds that such laws unconstitutionally regulate interstate commerce, are preempted by existing Federal regulations, or are otherwise unlawful in the Attorney General’s judgment.”

The draft order says the Trump administration “will act to ensure that there is a minimally burdensome national standard—not 50 discordant State ones.” It specifically names laws enacted by California and Colorado and directs the Secretary of Commerce to evaluate whether other laws should be challenged.

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Attack, defend, pursue—the Space Force’s new naming scheme foretells new era

Attack, defend, pursue—the Space Force’s new naming scheme foretells new era

A little more than a century ago, the US Army Air Service came up with a scheme for naming the military’s multiplying fleet of airplanes.

The 1924 aircraft designation code produced memorable names like the B-17, A-26, B-29, and P-51—B for bomber, A for attack, and P for pursuit—during World War II. The military later changed the prefix for pursuit aircraft to F for fighter, leading to recognizable modern names like the F-15 and F-16.

Now, the newest branch of the military is carving its own path with a new document outlining how the Space Force, which can trace its lineage back to the Army Air Service, will name and designate its “weapon systems” on the ground and in orbit. Ars obtained a copy of the document, first written in 2023 and amended in 2024.

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

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

Not everyone appreciates the artistry of Jackson Pollock’s famous drip paintings, with some dismissing them as something any child could create. While Pollock’s work is undeniably more sophisticated than that, it turns out that when one looks at splatter paintings made by adults and young children through a fractal lens and compares them to those of Pollock himself, the children’s work does bear a closer resemblance to Pollock’s than those of the adults. This might be due to the artist’s physiology, namely a certain clumsiness with regard to balance, according to a new paper published in the journal Frontiers in Physics.

Co-author Richard Taylor, a physicist at the University of Oregon, first found evidence of fractal patterns in Pollock’s seemingly random drip patterns in 2001. As previously reported, his original hypothesis drew considerable controversy, both from art historians and a few fellow physicists. In a 2006 paper published in Nature, Case University physicists Katherine Jones-Smith and Harsh Mathur claimed Taylor’s work was “seriously flawed” and “lacked the range of scales needed to be considered fractal.” (To prove the point, Jones-Smith created her own version of a fractal painting using Taylor’s criteria in about five minutes with Photoshop.)

Taylor was particularly criticized for his attempt to use fractal analysis as the basis for an authentication tool to distinguish genuine Pollocks from reproductions or forgeries. He concedes that much of that criticism was valid at the time. But as vindication, he points to a machine learning-based study in 2015 relying on fractal dimension and other factors that achieved a 93 percent accuracy rate distinguishing between genuine Pollocks and non-Pollocks. Taylor built on that work for a 2024 paper reporting 99 percent accuracy.

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“We’re in an LLM bubble,” Hugging Face CEO says—but not an AI one

“We’re in an LLM bubble,” Hugging Face CEO says—but not an AI one

There’s been a lot of talk of an AI bubble lately, especially regarding circular funding involving companies like OpenAI and Anthropic—but Clem Delangue, CEO of machine-learning resources hub Hugging Face, has made the case that the bubble is specific to large language models, which is just one application of AI.

“I think we’re in an LLM bubble, and I think the LLM bubble might be bursting next year,” he said at an Axios event this week, as quoted in a TechCrunch article. “But ‘LLM’ is just a subset of AI when it comes to applying AI to biology, chemistry, image, audio, [and] video. I think we’re at the beginning of it, and we’ll see much more in the next few years.”

At Ars, we’ve written at length in recent days about the fears around AI investment. But to Delangue’s point, almost all of those discussions are about companies whose chief product is large language models, or the data centers meant to drive those—specifically, those focused on general-purpose chatbots that are meant to be everything for everybody.

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