Author name: DJ Henderson

apple-hit-with-$115m-fine-for-“extremely-burdensome”-app-store-privacy-policy

Apple hit with $115M fine for “extremely burdensome” App Store privacy policy

Apple was hit with a $115 million fine Monday after Italy’s competition authority alleged the tech giant was abusing its dominant position to harm third-party developers in its App Store.

In a press release, the Italian Competition Authority said that an “App Tracking Transparency” (ATT) privacy policy that Apple introduced in 2021 forced third-party developers to seek consent twice for the same data collection.

Requiring such “double consent” was “extremely burdensome” and “harmful” to some developers—especially the smallest developers, the regulator said. Many developers struggled to earn ad revenue after the policy was introduced, as users increasingly declined to opt into personalized ads.

Meanwhile, Apple may have benefited from the ATT restricting developers’ ad revenues, either “in the form of higher commissions collected from developers through the App Store and, indirectly, in terms of the growth of its own advertising service.” Since ATT was adopted, “revenues from App Store services increased,” the regulator said, as developers paid higher commissions and “likewise, Apple’s advertising division, which is not subject to the same stringent rules, ultimately benefited from increased revenues and higher volumes of intermediated ads.”

Without intervention, Apple would continue requiring third-party developers to provide an additional consent screen, which was “found to be disproportionate to the achievement of the company’s stated data protection objectives,” the press release said.

“Apple should have ensured the same level of privacy protection for users by allowing developers to obtain consent to profiling in a single step,” the regulator concluded.

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bytedance-confirms-tiktok-will-be-controlled-by-us-owners

ByteDance confirms TikTok will be controlled by US owners

According to Trump, the deal ensures that TikTok complies with the divest-or-ban law, but the White House is still not providing more details. Instead, the Trump administration “referred questions about the deal to TikTok,” Reuters reported.

If the deal closes as expected on January 22, the new US company will have an estimated value of $14 billion, Vice President JD Vance noted in September.

At that point, the deal will likely face mounting scrutiny from lawmakers, including Republicans, who aren’t yet sure if the US operation resolves all national security concerns. Chinese control of the algorithm was a particular sticking point for critics, who claimed that Trump was giving China exactly what it wanted: international recognition for exporting leading technology to the US.

In September, Sen. Chuck Grassley (R.-Iowa) vowed to take a “hard line” and oppose the deal’s framework if it violates the divest-or-ban law. Already, Representative John Moolenaar (R-Mich.), chair of the House Select Committee on China, is planning to hold a hearing next year with US TikTok leadership.

Sen. Elizabeth Warren (D-Mass.) has accused Trump of handing over “even more control of what you watch to his billionaire buddies,” through the TikTok deal, which she likened to enabling a “billionaire takeover of TikTok.” Many TikTokers likely share her concerns, after Trump suggested he’d like to see his hand-picked investors tweak the algorithm to be “100 percent MAGA.”

Questions remain until the exact terms of the deal become public, Warren said.

ByteDance did not respond to Ars’ request to comment.

With the terms obscured, it’s unclear how quickly TikTok may change in 2026 under US ownership. In July, the Information reported that when approximately 170 million US users get ported over to the new US-owned app, it could be buggy.

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google-lobs-lawsuit-at-search-result-scraping-firm-serpapi

Google lobs lawsuit at search result scraping firm SerpApi

Google has filed a lawsuit to protect its search results, targeting a firm called SerpApi that has turned Google’s 10 blue links into a business. According to Google, SerpApi ignores established law and Google’s terms to scrape and resell its search engine results pages (SERPs). This is not the first action against SerpApi, but Google’s decision to go after a scraper could signal a new, more aggressive stance on protecting its search data.

SerpApi and similar firms do fulfill a need, but they sit in a legal gray area. Google does not provide an API for its search results, which are based on the world’s largest and most comprehensive web index. That makes Google’s SERPs especially valuable in the age of AI. A chatbot can’t summarize web links if it can’t find them, which has led companies like Perplexity to pay for SerpApi’s second-hand Google data. That prompted Reddit to file a lawsuit against SerpApi and Perplexity for grabbing its data from Google results.

Google is echoing many of the things Reddit said when it publicized its lawsuit earlier this year. The search giant claims it’s not just doing this to protect itself—it’s also about protecting the websites it indexes. In Google’s blog post on the legal action, it says SerpApi “violates the choices of websites and rightsholders about who should have access to their content.”

It’s worth noting that Google has a partnership with Reddit that pipes data directly into Gemini. As a result, you’ll often see Reddit pages cited in the chatbot’s outputs. As Google points out, it abides by “industry-standard crawling protocols” to collect the data that appears on its SERPs, but those sites didn’t agree to let SerpApi scrape their data from Google. So while you could reasonably argue that Google’s lawsuit helps protect the rights of web publishers, it also explicitly protects Google’s business interests.

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instacart-agrees-to-refund-subscribers-$60-million-in-ftc-settlement

Instacart agrees to refund subscribers $60 million in FTC settlement

In a blog post, Instacart emphasized that it has admitted no wrongdoing and elected to settle to “move forward.”

The app defended its “$0 delivery fees” claim by reminding customers that “we clearly and consistently distinguish delivery fees from service fees, which are always shown as a separate, itemized line.” Instacart also noted that subscribers receiving refunds were sent email reminders before renewals were charged. Further, any subscriber shocked by the charges had five days to request an automatic full refund if services were never used, the company said.

Boasting that Instacart has helped users save more than $3 billion “through deals, discounts, and loyalty programs,” the company estimated that users weren’t harmed by its practices and, on average, save $5 for each order.

“We flatly deny any allegations of wrongdoing by the agency, and we believe the foundation of the FTC’s inquiry was fundamentally flawed,” the company said.

The FTC, however, alleged that “hundreds of thousands of consumers have been charged membership fees without receiving benefits from the membership or getting refunds.”

Defending Instacart users from an alleged “variety of deceptive tactics,” the FTC will now work with Instacart to retrieve customer information and issue refunds, a jointly filed order detailing the settlement said.

In its blog, Instacart repeatedly claimed to be transparent and clear with customers about charges. But in a sign that the settlement is already forcing changes, a claim that the company provides “one of the most transparent, customer-friendly subscription programs available, unlocking $0 delivery fees on grocery orders of $10 or more” was starred. At the bottom of the blog, the company clarified that “service and other fees apply.”

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school-security-ai-flagged-clarinet-as-a-gun-exec-says-it-wasn’t-an-error.

School security AI flagged clarinet as a gun. Exec says it wasn’t an error.


Human review didn’t stop AI from triggering lockdown at panicked middle school.

A Florida middle school was locked down last week after an AI security system called ZeroEyes mistook a clarinet for a gun, reviving criticism that AI may not be worth the high price schools pay for peace of mind.

Human review of the AI-generated false flag did not stop police from rushing to Lawton Chiles Middle School. Cops expected to find “a man in the building, dressed in camouflage with a ‘suspected weapon pointed down the hallway, being held in the position of a shouldered rifle,’” a Washington Post review of the police report said.

Instead, after finding no evidence of a shooter, cops double-checked with dispatchers who confirmed that a closer look at the images indicated that “the suspected rifle might have been a band instrument.” Among panicked students hiding in the band room, police eventually found the suspect, a student “dressed as a military character from the Christmas movie Red One for the school’s Christmas-themed dress-up day,” the Post reported.

ZeroEyes cofounder Sam Alaimo told the Post that the AI performed exactly as it should have in this case, adopting a “better safe than sorry” outlook. A ZeroEyes spokesperson told Ars that “school resource officers, security directors and superintendents consistently ask us to be proactive and forward them an alert if there is any fraction of a doubt that the threat might be real.”

“We don’t think we made an error, nor does the school,” Alaimo said. “That was better to dispatch [police] than not dispatch.”

Cops left after the confused student confirmed he was “unaware” that the way he was holding his clarinet could have triggered that alert, the Post reported. But ZeroEyes’ spokesperson claimed he was “intentionally holding the instrument in the position of a shouldered rifle.” And seemingly rather than probe why the images weren’t more carefully reviewed to prevent a false alarm on campus, the school appeared to agree with ZeroEyes and blame the student.

“We did not make an error, and the school was pleased with the detection and their response,” ZeroEyes’ spokesperson said.

School warns students not to trigger AI

In a letter to parents, the principal, Melissa Laudani, reportedly told parents that “while there was no threat to campus, I’d like to ask you to speak with your student about the dangers of pretending to have a weapon on a school campus.” Along similar lines, Seminole County Public Schools (SCPS) communications officer, Katherine Crnkovich, emphasized in an email to Ars to “please make sure it is noted that this student wasn’t simply carrying a clarinet. This individual was holding it as if it were a weapon.”

However, warning students against brandishing ordinary objects like weapons isn’t a perfect solution. Video footage from a Texas high school in 2023 showed that ZeroEyes can sometimes confuse shadows for guns, accidentally flagging a student simply walking into school as a potential threat. The advice also ignores that ZeroEyes last year reportedly triggered a lockdown and police response after detecting two theater kids using prop guns to rehearse a play. And a similar AI tool called Omnilert made national headlines confusing an empty Doritos bag with a gun, which led to a 14-year-old Baltimore sophomore’s arrest. In that case, the student told the American Civil Liberties Union that he was just holding the chips when AI sent “like eight cop cars” to detain him.

For years, school safety experts have warned that AI tools like ZeroEyes take up substantial resources even though they are “unproven,” the Post reported. ZeroEyes’ spokesperson told Ars that “in most cases, ZeroEyes customers will never receive a ‘false positive,’” but the company is not transparent about how many false positives it receives or how many guns have been detected. An FAQ only notes that “we are always looking to minimize false positives and are constantly improving our learning models based on data collected.” In March, as some students began questioning ZeroEyes after it flagged a Nerf gun at a Pennsylvania university, a nearby K-12 private school, Germantown Academy, confirmed that its “system often makes ‘non-lethal’ detections.”

One critic, school safety consultant Kenneth Trump, suggested in October that these tools are “security theater,” with firms like ZeroEyes lobbying for taxpayer dollars by relying on what the ACLU called “misleading” marketing to convince schools that tools are proactive solutions to school shootings. Seemingly in response to this backlash, StateScoop reported that days after it began probing ZeroEyes in 2024, the company scrubbed a claim from its FAQ that said ZeroEyes “can prevent active shooter and mass shooting incidents.”

At Lawton Chiles Middle School, “the children were never in any danger,” police confirmed, but experts question if false positives cause students undue stress and suspicion, perhaps doing more harm than good in absence of efficacy studies. Schools may be better off dedicating resources to mental health services proven to benefit kids, some critics have suggested.

Laudani’s letter encouraged parents to submit any questions they have about the incident, but it’s hard to gauge if anyone’s upset. Asked if parents were concerned or if ZeroEyes has ever triggered lockdown at other SCPS schools, Crnkovich told Ars that SCPS does not “provide details regarding the specific school safety systems we utilize.”

It’s clear, however, that SCPS hopes to expand its use of ZeroEyes. In November, Florida state Senator Keith Truenow submitted a request to install “significantly more cameras”—about 850—equipped with ZeroEyes across the school district. Truenow backed up his request for $500,000 in funding over the next year by claiming that “the more [ZeroEyes] coverage there is, the more protected students will be from potential gun violence.”

AI false alarms pose dangers to students

ZeroEyes is among the most popular tools attracting heavy investments from schools in 48 states, which hope that AI gun detection will help prevent school shootings. The AI technology is embedded in security cameras, trained on images of people holding guns, and can supposedly “detect as little as an eighth of an inch of a gun,” an ABC affiliate in New York reported.

Monitoring these systems continually, humans review AI flags, then text any concerning images detected to school superintendents. Police are alerted when human review determines images may constitute actual threats. ZeroEyes’ spokesperson told Ars that “it has detected more than 1,000 weapons in the last three years.” Perhaps most notably, ZeroEyes “detected a minor armed with an AK-47 rifle on an elementary school campus in Texas,” where no shots were fired, StateScoop reported last year.

Schools invest tens or, as the SCPS case shows, even hundreds of thousands annually, the exact amount depending on the number of cameras they want to employ and other variables impacting pricing. ZeroEyes estimates that most schools pay $60 per camera monthly. Bigger contracts can discount costs. In Kansas, a statewide initiative equipping 25 cameras at 1,300 schools with ZeroEyes was reportedly estimated to cost $8.5 million annually. Doubling the number of cameras didn’t provide much savings, though, with ZeroEyes looking to charge $15.2 million annually to expand coverage.

To critics, it appears that ZeroEyes is attempting to corner the market on AI school security, standing to profit off schools’ fears of shootings, while showing little proof of the true value of its systems. Last year, ZeroEyes reported its revenue grew 300 percent year over year from 2023 to 2024, after assisting in “more than ten arrests through its thousands of detections, verifications, and notifications to end users and law enforcement.”

Curt Lavarello, the executive director of the School Safety Advocacy Council, told the ABC News affiliate that “all of this technology is very, very expensive,” considering that “a lot of products … may not necessarily do what they’re being sold to do.”

Another problem, according to experts who have responded to some of the country’s deadliest school shootings, is that while ZeroEyes’ human reviewers can alert police in “seconds,” police response can often take “several minutes.” That delay could diminish ZeroEyes’ impact, one expert suggested, noting that at an Oregon school he responded to, there was a shooter who “shot 25 people in 60 seconds,” StateScoop reported.

In Seminole County, where the clarinet incident happened, ZeroEyes has been used since 2021, but SCPS would not confirm if any guns have ever been detected to justify next year’s desired expansion. It’s possible that SCPS has this information, as Sen. Truenow noted in his funding request that ZeroEyes can share reports with schools “to measure the effectiveness of the ZeroEyes deployment” by reporting on “how many guns were detected and alerted on campus.”

ZeroEyes’ spokesperson told Ars that “trained former law enforcement and military make split-second, life-or-death decisions about whether the threat is real,” which is supposed to help reduce false positives that could become more common as SCPS adds ZeroEyes to many more cameras.

Amanda Klinger, the director of operations at the Educator’s School Safety Network, told the Post that too many false alarms could carry two risks. First, more students could be put in dangerous situations when police descend on schools where they anticipate confronting an active shooter. And second, cops may become fatigued by false alarms, perhaps failing to respond with urgency over time. For students, when AI labels them as suspects, it can also be invasive and humiliating, reports noted.

“We have to be really clear-eyed about what are the limitations of these technologies,” Klinger said.

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

School security AI flagged clarinet as a gun. Exec says it wasn’t an error. Read More »

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NASA will soon find out if the Perseverance rover can really persevere on Mars


Engineers at JPL are certifying the Perseverance rover to drive up to 100 kilometers.

The Perseverance rover looks back on its tracks on the floor of Jezero Crater in 2022. Credit: NASA/JPL

When the Perseverance rover arrived on Mars nearly five years ago, NASA officials thought the next American lander to take aim on the red planet would be taking shape by now.

At the time, the leaders of the space agency expected this next lander could be ready for launch as soon as 2026—or more likely in 2028. Its mission would have been to retrieve Martian rock specimens collected by the Perseverance rover, then billed as the first leg of a multilaunch, multibillion-dollar Mars Sample Return campaign.

Here we are on the verge of 2026, and there’s no sample retrieval mission nearing the launch pad. In fact, no one is building such a lander at all. NASA’s strategy for a Mars Sample Return, or MSR, mission remains undecided after the projected cost of the original plan ballooned to $11 billion. If MSR happens at all, it’s now unlikely to launch until the 2030s.

That means the Perseverance rover, which might have to hand off the samples to a future retrieval lander in some circumstances, must continue weathering the harsh, cold, dusty environment of Mars. The good news is that the robot, about the size of a small SUV, is in excellent health, according to Steve Lee, Perseverance’s deputy project manager at NASA’s Jet Propulsion Laboratory (JPL).

“Perseverance is approaching five years of exploration on Mars,” Lee said in a press briefing Wednesday at the American Geophysical Union’s annual fall meeting. “Perseverance is really in excellent shape. All the systems onboard are operational and performing very, very well. All the redundant systems onboard are available still, and the rover is capable of supporting this mission for many, many years to come.”

The rover’s operators at JPL are counting on sustaining Perseverance’s good health. The rover’s six wheels have carried it a distance of about 25 miles, or 40 kilometers, since landing inside the 28-mile-wide (45-kilometer) Jezero Crater in February 2021. That is double the original certification for the rover’s mobility system and farther than any vehicle has traveled on the surface of another world.

This enhanced-color mosaic is made from three separate images taken on September 8, 2025, each of which was acquired using the Perseverance rover’s Mastcam-Z instrument. The images were processed to improve visual contrast and enhance color differences. The view shows a location known as “Mont Musard” and another region named “Lac de Charmes,” where the rover’s team will be looking for more rock core samples to collect in the year ahead. The mountains in the distance are approximately 52 miles (84 kilometers) away.

Going for 100

Now, engineers are asking Perseverance to perform well beyond expectations. An evaluation of the rover’s health concluded it can operate until at least 2031. The rover uses a radioactive plutonium power source, so it’s not in danger of running out of electricity or fuel any time soon. The Curiosity rover, which uses a similar design, has surpassed 13 years of operations on Mars.

There are two systems that are most likely to limit the rover’s useful lifetime. One is the robotic arm, which is necessary to collect samples, and the other is the rover’s six wheels and the drive train that powers them.

“To make sure we can continue operations and continue driving for a long, long way, up to 100 kilometers (62 miles), we are doing some additional testing,” Lee said. “We’ve successfully completed a rotary actuator life test that has now certified the rotary system to 100 kilometers for driving, and we have similar testing going on for the brakes. That is going well, and we should finish those early part of next year.”

Ars asked Lee why JPL decided on 100 kilometers, which is roughly the same distance as the average width of Lake Michigan. Since its arrival in 2021, Perseverance has climbed out of Jezero Crater and is currently exploring the crater’s rugged rim. If NASA sends a lander to pick up samples from Perseverance, the rover will have to drive back to a safe landing zone for a handoff.

“We actually had laid out a traverse path exploring the crater rim, much more of the crater rim than we have so far, and then be able to return to a rendezvous site,” Lee said. “So we did an estimate of the total mission drive duration to complete that mission, added margin for science exploration, added margin in case we need the rendezvous at a different site… and it just turned out to add up to a nice, even 100 kilometers.”

The time-lapse video embedded below shows the Perseverance rover’s record-breaking 1,351-foot (412-meter) drive on June 19, 2025.

Despite the disquiet on the future of MSR, the Perseverance rover has dutifully collected specimens and placed them in 33 titanium sample tubes since arriving on Mars. Perseverance deposited some of the sealed tubes on the surface of Mars in late 2022 and early 2023 and has held onto the remaining containers while continuing to drive toward the rim of Jezero.

The dual-depot approach preserves the option for future MSR mission planners to go after either batch of samples.

Scientists selected Jezero as the target for the Perseverance mission because they suspected it was the site of an ancient dried-up river delta with a surplus of clay-rich minerals. The rover’s instruments confirmed this hypothesis, finding sediments in the crater floor that were deposited at the bottom of a lake of liquid water billions of years ago, including sandstones and mudstones known to preserve fossilized life in comparable environments on Earth.

A research team published findings in the journal Nature in September describing the discovery of chemical signatures and structures in a rock that could have been formed by ancient microbial life. Perseverance lacks the bulky, sprawling instrumentation to know for sure, so ground teams ordered the rover to collect a pulverized specimen from the rock in question and seal it for eventual return to Earth.

Fill but don’t seal

Lee said Perseverance will continue filling sample tubes in the expectation that they will eventually come back to Earth.

“We do expect to continue some sampling,” Lee said. “We have six open sample tubes, unused sample tubes, onboard. We actually have two that we took samples and didn’t seal yet. So we have options of maybe replacing them if we’re finding that there’s even better areas that we want to collect from.”

The rover’s management team at JPL is finalizing the plan for Perseverance through 2028. Lee expects the rover will remain at Jezero’s rim for a while. “There are quite a number of very prime, juicy targets we would love to go explore,” he said.

In the meantime, if Perseverance runs across an alluring rock, scientists will break out the rover’s coring drill and fill more tubes.

“We certainly have more than enough to keep us busy, and we are not expecting a major perturbation to our science explorations in the next two and a half years as a result of sample return uncertainty,” Lee said.

Perseverance has its own suite of sophisticated instruments. The instruments can’t do what labs on Earth can, but the rover can scan rocks to determine what they’re made of, search for life-supporting organic molecules, map underground geology, and capture startling vistas that inspire and inform.

This photo montage shows sample tubes shortly after they were deposited onto the surface by NASA’s Perseverance Mars rover in late 2022 and early 2023. Credit: NASA/JPL-Caltech/MSSS

The rover’s sojourn along the Jezero Crater rim is taking it through different geological eras, from the time Jezero harbored a lake to its formation at an even earlier point in Martian history. Fundamentally, researchers are asking the question “What was it like if you were a microbe living on the surface of Mars?” said Briony Horgan, a mission scientist at Purdue University.

Along the way, the rover will stop and do a sample collection if something piques the science team’s interest.

“We are adopting a strategy, in many cases, to fill a tube, and we have the option to not seal it,” Lee said. “Most of our tubes are sealed, but we have the option to not seal it, and that gives us a flexibility downstream to replace the sample if there’s one that we find would make an even stronger representative of the diversity we are discovering.”

An indefinite wait

Planetary scientists have carefully curated the specimens cached by the Perseverance rover. The samples are sorted for their discovery potential, with an emphasis on the search for ancient microbial life. That’s why Perseverance was sent to Jezero in the first place.

China is preparing its own sample-return mission, Tianwen-3, for launch as early as 2028, aiming to deliver Mars rocks back to Earth by 2031. If the Tianwen-3 mission keeps to this scheduleand is successfulChina will almost certainly be first to pull off the achievement. Officials have not announced the landing site for Tianwen-3, so the jury is still out on the scientific value of the rocks China aims to bring back.

NASA’s original costly architecture for Mars Sample Return would have used a lander built by JPL and a small solid-fueled rocket to launch the rock samples back into space after collecting them from the Perseverance rover. The capsule containing the Mars rocks would then transfer them to another spacecraft in orbit around Mars. Once Earth and Mars reached the proper orbital alignment, the return spacecraft would begin the journey home. All told, the sample return campaign would last several years.

NASA asked commercial companies to develop their own ideas for Mars Sample Return in 2024. SpaceX, Blue Origin, Lockheed Martin, and Rocket Lab submitted their lower-cost commercial concepts to NASA, but progress stalled there. NASA’s former administrator, Bill Nelson, punted on a decision on what to do next with Mars Sample Return in the final weeks of the Biden administration.

A few months later, the new Trump administration proposed outright canceling the Mars Sample Return mission. Mars Sample Return, known as MSR, was ranked as the top priority for planetary science in a National Academies decadal survey. Researchers say they could learn much more about Mars and the possibilities of past life there by bringing samples back to Earth for analysis.

Budget writers in the House of Representatives voted to restore funding for Mars Sample Return over the summer, but the Senate didn’t explicitly weigh in on the mission. NASA is now operating under a stopgap budget passed by Congress last month, and MSR remains in limbo.

There are good arguments for going with a commercial sample-return mission, using a similar approach to the one NASA used to buy commercial cargo and crew transportation services for the International Space Station. NASA might also offer prizes or decide to wait for a human expedition to Mars for astronauts to scoop up samples by hand.

Eric Berger, senior space editor at Ars, discussed these options a few months ago. After nearly a year of revolving-door leadership, NASA finally got a Senate-confirmed administrator this week. It will now be up to the new NASA chief, Jared Isaacman, to chart a new course for Mars Sample Return.

Photo of Stephen Clark

Stephen Clark is a space reporter at Ars Technica, covering private space companies and the world’s space agencies. Stephen writes about the nexus of technology, science, policy, and business on and off the planet.

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physicists-3d-printed-a-christmas-tree-of-ice

Physicists 3D-printed a Christmas tree of ice

Physicists at the University of Amsterdam came up with a really cool bit of Christmas decor: a miniature 3D-printed Christmas tree, a mere 8 centimeters tall, made of ice, without any refrigeration equipment or other freezing technology, and at minimal cost. The secret is evaporative cooling, according to a preprint posted to the physics arXiv.

Evaporative cooling is a well-known phenomenon; mammals use it to regulate body temperature. You can see it in your morning cup of hot coffee: the hotter atoms rise to the top of the magnetic trap and “jump out” as steam. It also plays a role (along with shock wave dynamics and various other factors) in the formation of “wine tears.” It’s a key step in creating Bose-Einstein condensates.

And evaporative cooling is also the main culprit behind the infamous “stall” that so frequently plagues aspiring BBQ pit masters eager to make a successful pork butt. The meat sweats as it cooks, releasing the moisture within, and that moisture evaporates and cools the meat, effectively canceling out the heat from the BBQ. That’s why a growing number of competitive pit masters wrap their meat in tinfoil after the first few hours (usually when the internal temperature hits 170° F).

Ice-printing methods usually rely on cryogenics or on cooled substrates. Per the authors, this is the first time evaporative cooling principles have been applied to 3D printing. The trick was to house the 3D printing inside a vacuum chamber using a jet nozzle as the printing head—something they discovered serendipitously when they were trying to get rid of air drag by spraying water in a vacuum chamber.  “The printer’s motion control guides the water jet layer-by-layer, building geometry on demand,” the authors wrote in a blog post for Nature, adding:

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openai’s-new-chatgpt-image-generator-makes-faking-photos-easy

OpenAI’s new ChatGPT image generator makes faking photos easy

For most of photography’s roughly 200-year history, altering a photo convincingly required either a darkroom, some Photoshop expertise, or, at minimum, a steady hand with scissors and glue. On Tuesday, OpenAI released a tool that reduces the process to typing a sentence.

It’s not the first company to do so. While OpenAI had a conversational image-editing model in the works since GPT-4o in 2024, Google beat OpenAI to market in March with a public prototype, then refined it to a popular model called Nano Banana image model (and Nano Banana Pro). The enthusiastic response to Google’s image-editing model in the AI community got OpenAI’s attention.

OpenAI’s new GPT Image 1.5 is an AI image synthesis model that reportedly generates images up to four times faster than its predecessor and costs about 20 percent less through the API. The model rolled out to all ChatGPT users on Tuesday and represents another step toward making photorealistic image manipulation a casual process that requires no particular visual skills.

The

The “Galactic Queen of the Universe” added to a photo of a room with a sofa using GPT Image 1.5 in ChatGPT.

GPT Image 1.5 is notable because it’s a “native multimodal” image model, meaning image generation happens inside the same neural network that processes language prompts. (In contrast, DALL-E 3, an earlier OpenAI image generator previously built into ChatGPT, used a different technique called diffusion to generate images.)

This newer type of model, which we covered in more detail in March, treats images and text as the same kind of thing: chunks of data called “tokens” to be predicted, patterns to be completed. If you upload a photo of your dad and type “put him in a tuxedo at a wedding,” the model processes your words and the image pixels in a unified space, then outputs new pixels the same way it would output the next word in a sentence.

Using this technique, GPT Image 1.5 can more easily alter visual reality than earlier AI image models, changing someone’s pose or position, or rendering a scene from a slightly different angle, with varying degrees of success. It can also remove objects, change visual styles, adjust clothing, and refine specific areas while preserving facial likeness across successive edits. You can converse with the AI model about a photograph, refining and revising, the same way you might workshop a draft of an email in ChatGPT.

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Electric vehicles cause tension in the automotive aftermarket

After federal clean vehicle tax credits ended in September, the electric vehicle industry reached a crossroads. Well, technically, it has been there since Trump took office. This is a weird period in automotive history; A chunk of the industry is full-steam ahead with EV development, another is cutting back, and the consumer is left wondering what the electrification landscape will look like next year, let alone in three, during the next administration.

But what about the automotive aftermarket? Typically, this corner benefits from whatever progress is made on the OEM front—have Trump’s policies expanded or contracted its EV technological development? I recently spent some time chatting with personnel of the Specialty Equipment Market Association (SEMA) at its yearly tradeshow in Las Vegas to find out. I also hit the bricks (or, rather, bright carpeting) of the massive show itself, seeking out some new, unique developments in the space that behoove EV tech’s inherent benefits.

Above one of the show’s several sprawling halls, I met with Mike Spagnola, SEMA’s CEO, and Karen Bailey-Chapman, senior vice president, public and government affairs, to learn what the organization’s official stance is. First and foremost: It doesn’t want to be told what to do.

Trump-like talking points

“Thirty-three percent of our industry would’ve been wiped out had EV mandates continued,” Bailey-Chapman said, referring to future federal fuel efficiency regulations that would have required automakers to sell many more EVs to avoid punishing fines. Those efficiency targets were just ripped up by the Trump administration.

“The reality is that we embrace EVs, we embrace all technologies. If it moves on wheels, we’re good… but what we are against is that we have to choose this, and that’s it,” she said.

She claimed that over the past couple of years, SEMA has become more political than ever before, advocating heavily for what it finds to be the best way forward for its members. Part of that includes limiting the power of the California Air Resources Board (CARB), which was given the power to regulate California’s air quality after decades of smog affected the Los Angeles basin.

Electric vehicles cause tension in the automotive aftermarket Read More »

the-$140,000-question

The $140,000 Question

There was a no good, quite bad article by Michael Green that went viral. The condensed version was entitled ‘The Valley of Death: Why $100,000 Is the New Poverty,’ and a follow-up here.

His actual claim in that post, which was what caught fire, was that the poverty line should be $140,000, and even that this number is him ‘being conservative.’

Obviously that is not remotely true, given that:

  1. America is the richest large country in history by a wide margin.

  2. $140,000 is at or above median household income.

  3. You can observe trivially that a majority of Americans are not in poverty.

Today’s post covers this narrow question as background, including Green’s response.

If you’ve already had your fill of that, including ‘well, yes, obviously, how are we bothering with all this, I know it went viral but someone was being Wrong On The Internet’ then you are not wrong. You can safely skip this post. It’s fine.

I’m writing this as a lead-in to broader future discussions of the underlying questions:

  1. How hard life actually is right now in various ways, in various senses.

  2. What costs in particular are rising versus falling.

  3. What we can do to turn the problems around.

  4. The roles of the Revolutions of Rising Expectations and Rising Requirements in all of it.

  1. None Of This Makes Any Sense.

  2. Let’s Debunk The Whole Calculation Up Front.

  3. The Debunking Chorus.

  4. Okay It’s Not $140k But The Vibes Mean Something.

  5. Needing Two Incomes Has A High Cost.

  6. I Lied….

  7. …But That’s Not Important Right Now.

  8. Poverty Trap.

  9. Poverty Trap Versus Poverty Line.

  10. Double or Nothing.

Michael Green’s calculation of an alternative poverty line does not make any sense, but he is correct that the official poverty line calculation also does not make any sense.

Michael Green: The statement was this: “The U.S. poverty line is calculated as three times the cost of a minimum food diet in 1963, adjusted for inflation.”

When I read it I felt sick. And when you understand that number, you will understand the rage of Americans who have been told that their lives have been getting better when they are barely able to stay afloat.

The official poverty line of $32,000 for a family of four seems both totally arbitrary and obviously too low if you look at taxes and transfers, in the same way that the median income of $140,000, where Green wants to set that poverty line, is absurdly high.

Neither number is saying a useful thing about whether people are barely able to stay afloat, or whether lives are getting better. My guess is the right number is ~$50,000.

The point of a poverty line is not ‘what does it take to live as materially well as the median American.’

Green literally equates the poverty line with median income, in two distinct ways. No, really. He equates this with ‘basic participation.’ That’s not how any of that works.

Poverty actually means (from Wikipedia) “a state or condition in which an individual lacks the financial resources and essentials for a basic standard of living.”

Neither of those things is well predicted by the same number of constant dollars over time. The first is especially not well predicted, and the second mostly is not either. The minimum basket of goods does not track inflation.

Before I get to the chorus of debunkers, I’ll briefly join that chorus for those who came in late and point out that the underlying math that Michael Green does is deeply, deeply stupid, it makes even less sense than you think, as in it is actually tautological equating of median income with poverty except with calculation errors.

I mostly wrote my debunk before reading the others, but we found the same things, so if you’ve read the others you can skip this section and the next one.

Michael Green: In 2024, food-at-home is no longer 33 percent of household spending. For most families, it’s 5 to 7 percent. Housing now consumes 35 to 45 percent. Healthcare takes 15 to 25 percent. Childcare, for families with young children, can eat 20 to 40 percent.

If you keep [the original] logic [of the poverty threshold]—if you maintain [the] principle that poverty could be defined by the inverse of food’s budget share—but update the food share to reflect today’s reality, the multiplier is no longer three.

It becomes 16. Which means…the threshold for a family of four—the official poverty line in 2024—wouldn’t be $31,200. If the crisis threshold—the floor below which families cannot function—is honestly updated to current spending patterns, it lands at close to $140,000.

As in, he’s taking a food, multiplying by (14 or 16), and calling that the poverty line, because food-at-home is (1/14th or 1/16th) of typical household spending. Even if his calculations were correct: Seriously, what? You presumably see (some of the) problems?

(The calculations also aren’t correct in other ways, at minimum he should be using total food share which only leads to a 7.8 multiplier, and the way he’s backing out minimum food costs is assuming costs rose exactly with CPI, but that’s not important right now.)

That’s the same as saying ‘the poverty line is equal to typical household spending.’

Well, it’s that plus the error from the conflation of food with food-at-home, the ‘what do people actually spend’ calculation should end up in more like $80k, almost exactly American median income Mike claims American households make (he’s wrong, it’s actually $125k for families of four, whoops).

That’s not a coincidence. This methodology would say that half the people will always be under the poverty line, no matter how rich or poor those people were.

Poverty here is being defined as ‘below the median.’ Except with a bug in the math.

Thus, contra Green, there’s no typical expense that this ‘doesn’t include.’

If your response is ‘parts of this are what the original calculation did, kind of’ my answer is: I do not care, not even a little, that a different calculation was also ad-hoc nonsense followed by CPI adjustments. We agree that the $32k number also isn’t right.

He then uses the ‘living wage calculator’ to assemble a typical household budget in Essex County, New Jersey, a relatively expensive metro area. His source says ‘typical expenses’ there require $96k in income if one parent is working, $136k if two parents are working, mostly due to a $32k child care gap which is nonsensical if the children are in school. All of which Scott Winship analyzes and finds patently absurd on multiple levels.

But once again ignore all those numbers because he’s literally using the ‘typical expenses’ calculation, which has basically nothing to do with the minimum spend or any reasonable definition of a poverty rate, hence the $32k in child care, the paying full healthcare premiums and so on. Once again this calculation makes no sense.

(Oh, and fun note via Noah Smith, poor people in America still spend about a third of their money on food.)

A chorus rose up to explain this person being Wrong On The Internet. Here’s some pull quotes and overviews. Several of these links go into great detail, some would say unnecessary detail but those some would be wrong, we thank all of you for your service.

Scott Lincicome called this a ‘nerd fight’ but I mean stop, stop, he’s already dead.

Noah Smith has some excellent common sense graphs for sanity checks showing Americans mostly do have adequate health care, food, transportation and space.

Scott Winship has the most detailed debunking methodology, if you want that. This includes noticing that in many calculations Winship goes beyond relying on medians. He instead moves to average (mean) spending in various categories, which is even more absurd a comparison point, and when he breaks down the ‘typical budget’ based on Essex County we see absurdity after absurdity.

His analysis also contains the central conflation I’ll be largely focusing on next time, which is that yes Americans now have higher real incomes and buy vastly more and better stuff, but that this does not automatically mean survival is easier because Americans now are required to buy and expect to get vastly more and better stuff.

Alex Tabarrok: Of course ⁦Jeremy Horpedahl is correct. I would just add that this is another example of grievance culture. Right or left almost everyone wants to blame someone else—billionaires, minorities, immigrants, foreigners, white people, systematic racism etc.

Ptuomov: There are two issues here.

The first is that Mike’s numbers are off, as explained in the link below. This is a minor issue.

The second and more serious issue is that I think he is confusing two very different questions:

1. What does it take to not be so poor in the US that poverty itself closes doors for you and your children?

2. What does it take for a family man to feel like a success in the US?

In my opinion, Mike uses the word “poverty” but is actually writing about the second question.

I’m no bleeding heart-liberal by any means, but I think there is legitimate reason to reduce the type of true poverty that causes a newborn child to be excluded from self-improvement opportunities of which he could realistically take advantage.

Scott Lincicome: Fortunately for us, subsequent scrutiny—including from some of Capitolism’s favorite scholars—revealed Green to have been spectacularly, demonstrably wrong in all sorts of obvious and less obvious ways. Most American families, it turns out, aren’t living hand-to-mouth, and, while real affordability challenges exist, the general long-term trend for both middle-class living and real poverty has been positive.

The Numbers—and Entire Premise—Were Nonsense.

Tyler Cowen: Fortunately for us, this [poverty line of $140k] is all wrong. The underlying concepts are wrong, and the user of evidence is misguided. There are genuine concerns about affordability in the United States, but the analysi in this article is not a good way to understand them.

Noah Smith: But despite its popularity, Green’s claim is wrong. Not just slightly wrong or technically wrong, but just totally off-base and out of touch with reality. In fact, it’s so wrong that I’m willing to call it “very silly”. I know Mike Green, and I count him as a friend, but we all write silly things once in a while,1 and when we do, we deserve to be called out on it.

Jeremy Horpedahl: I think there are at least three major errors Mr. Green makes in the essay:

  1. He drastically underestimates how much income American families have.

  2. He drastically overstates how much spending is necessary to support a family, because he uses average spending figures and treats them as minimum amounts.

  3. He obsesses over the Official Poverty Measure, since it was originally based on the cost of food in the 1960s, and ignores that Census already has a new poverty measure which takes into account food, shelter, clothing, and utility costs: the Supplement Poverty Measure.

We also have Eric Boehm in Reason, and no doubt many more.

Clifford Asness: The populist fabulists will only move the goal posts again.

It started as 140k was “poverty” moved on to something softer about “participation” (not that this isn’t a real concept it’s just not poverty) and now is down to “you can’t deny the ennui” and “all we meant was government programs are poorly designed to punish those seeking to leave poverty” something poverty scholars have only yelled about 1mm times.

Data + analysis >> vibes which sadly doesn’t mean they win in the court of public opinion.

Adam Ozimek: The defense of the $140k poverty line post have retreated to yes the data is wrong, yes the core claim is wrong, but it is a complaint about standard of living improvement in the US so I must nevertheless say it’s good.

Guess who led this chorus? Michael Green, saying that ‘accuracy’ was not the point.

If people keep insisting life sucks and the vibes are bad then you should believe them that there is a problem, that in some important way their life sucks and the vibes are bad. That doesn’t mean you need to respect the actual claims if they are false, but if you are trying to figure out what is true the defense of those claims is important evidence. Listen.

This also leads into themes I mostly am saving for next time, but needs to be mentioned here: A family with one typical income will increasingly fall behind.

That doesn’t mean you can’t make the numbers work that way. You can. Falling behind doesn’t mean starving. Falling behind still sucks. A lot.

Matt Bruenig: New piece at @PplPolicyProj. It’s my entry into the “$140k is poverty” discourse and the “you used to be able to live comfortably on a single income” discourse more generally. I think I know how to make sense of it that does not require nonsense claims.

One way to put it that I ultimately cut out of the piece is imagine your society went from a 20-hour workweek to a 40-hour workweek but not everyone went along with the change. You could accurately say that you used to be able to afford a normal life on 20 hours but now you cant.

But rather than seeing that clearly for what it is — the standard for a normal life has ratcheted upward with more income/output — there is a temptation to say that there is hidden costs or inflation or whatever that have fully swallowed increased income etc.

… If everyone around me started working 20 hours of overtime each week and I didn’t, then that would suck. Even if I followed suit, but didn’t want to, that’d also suck. Because inequality sucks. Being alienated from the society sucks.

Real wages for married men are up, but the median income for married couples is up a lot more because a lot more women are working, which means if only the man works you’re falling behind. You get punched in the face with the Revolutions of Rising Requirements and Expectations.

Matthew Yglesias: Some excellent charts and info here, but I think the impulse to sanewash and “clean up” false claims is kind of misguided.

If we want to address people’s concerns, they need to state the concerns accurately.

The claim that the *absolute affordabilityof being a married, one-earner family with kids has fallen would — if it were true — have straightforward win-win policy remedies like “higher wages and incomes.”

But it’s not true.

When you reformulate to a more accurate claim what you end up with is the observation that it is is hard for one person to earn as much income as two people and that the wedge has grown as women’s earning power has increased.

This is very true but what’s the fix?

One that would “work” would be to push women generally out of opportunities for careers and white collar work — something more conservatives are tip-toeing around but don’t quite want to say.

Family incomes have been moving up, much of which is increased female labor participation but a lot less than all of it.

Violeta: I’m following an insta acct who interviews elders from remote Romanian villages. Every single one of them speaks of how we now live in a God given infinite abundance so good that compared to their childhood &youth, they feel now they have more desire to live longer

a different POV

I know women in their 70s who for decades now, have been in grateful awe at how much easier they have it now. One of my aunts, mountain people, was raving when I last saw her about washing machines but also about *plastic bottles*, how practical they are during haymaking season

Green’s follow-up post might be the most smug and obnoxious ‘okay yes my original post was full of lies but I don’t care because it worked to get the discussion I wanted, so take that assholes who are in a grand conspiracy to keep us good folks down’ that I have ever seen. It somehow continues to fully equate the poverty line with median income, and to be arrogant about it, saying numbers shmumbers, they don’t matter.

And then he turns around and says, how dare you respond to my ‘legitimate grievances’ by pointing out that my facts are wrong and my arguments are nonsense?

Michael Green: In Are You an American?, I described “The Mockery Machine”—the ritualized pattern in which elites respond to legitimate grievances by distorting them into absurdity, ridiculing the distortion, and then shaming the “complainer” for even noticing the decline. I thought of it as a cultural reflex, a defensive maneuver performed mostly by Twitter avatars and partisans. I was wrong.

… Just like in Atlas Shrugged, all the sycophants wanted to display their loyalty to Balph. Check out the brutal assault on my childcare figure — “It’s not $32K — it’s $25.7K!!!!”

I mean, sir, that’s because your facts were wrong and your arguments were nonsense. No, it wasn’t ‘narrative discipline,’ it was caring about the accuracy of claims. And no, this wasn’t one isolated error, it was part of a string of errors mostly in the same direction, that people are very carefully and politely pointing out. All the careful pushback warmed my heart to see it. Have you tried making true claims instead?

The post went viral because of the false claims, and that was the message most people got. You can’t then turn around and say, why do you care about the false claims, I don’t care if my claims were false, that wasn’t the central point.

But yes. The fact that such obviously false claims resonated must be reckoned with, which is what the second post will be about, and these same people are also trying to say ‘and therefore everything is fine’ when everything is rather not fine.

Indeed, Green also correctly identifies the ‘making the goods better does not help you afford the goods’ problem with equating ‘real income adjusted for CPI’ with someone’s felt spending power and ability to survive.

This is written backwards by accident by Green, but correct once you fix it:

As others have noted, it’s great that the 1963 basket is so much higher quality than the 2025 basket that it’s “worth” much more, but it’s illegal to buy the 1963 basket.

Yes, that’s backwards – it’s the 2025 basket that’s worth much more, and rightfully so, but you still spent the same amount of money on the basket, and it’s still illegal to buy the 1963 basket, and that’s central to the argument I’ll make next time.

I’m definitely not here to say everything is fine. I’m not mocking the idea a lot of people feel like their lives suck, quite the opposite, stay tuned for the second post. But I absolutely, if forced to engage, will mock anyone who knowingly posts so much obvious nonsense and then pretends that this was fine because it worked and it wasn’t the central point, and only people with an agenda would call you out on it.

One other potentially good point Green makes there is that many individuals and couples don’t start families because they don’t feel they can afford one, which biases two-parent household income upwards. But in terms of impact on the averages it’s complicated, because there are kind of two fertility tracks, one for those who are trying to follow the ‘have enough money first’ playbook, and the other where some people go ahead and have kids anyway, and that second group is more present and has higher fertility at lower incomes. If you look at fertility by income, you see a U-curve, that fertility declines as income rises, until you get rather far up in income.

I do think that ‘a lot of people don’t have kids because they don’t believe they can afford them’ is central to the problem we face.

He then pivots (while continuing to assert various forms of nonsense along the way) into saying ‘the real point’ is two completely distinct other claims that are far better.

The first is that phase outs generate a Poverty Trap where effective marginal tax rates can be very high, even in excess of 100%. If marginal tax rates are very high, there’s no push to earn more money, so you don’t advance your career and you never earn enough to escape poverty. That’s a very real, no good, very bad problem.

Michael Green: This is the policy failure that was actually at the heart of Part 1: We have created benefit cliffs and income phase-outs that systematically capture the working poor, ensuring that climbing the ladder only leads to loss of essential benefits and permanent financial fragility.

Green’s version actually understates the issue. Assuming those numbers are right, yes, the post-transfers marginal tax rate there is obnoxious at around 45%, but that’s also the marginal tax rate at the top, and transfers are worth less than one dollar per dollar. Still, Green’s graph doesn’t look so bad, because the worst potential Valley is at $30k, and Green can’t count that low.

This, via Jeremy Horpedahl, is the chart that shows a real Valley of Death that can come up under some circumstances:

This graph is remarkably terrible. You could plausibly prefer $29k to $69k.

Here’s another graph that goes to the relatively expensive Boston and finds a trap that goes out farther, where you don’t escape until north of $100k:

Or this one looks less bad that has a small reversal around $63k:

Again, benefits are worth less than $1 per $1, so marginal tax rates are not quite as bad as they look on these graphs, but they are not great.

Once you get above these thresholds, I don’t want to say you are ‘home free’ but you are strictly better off each time you earn an extra dollar.

Contra Green, ~80% of families of 4 are north of the trap in practice.

Can these dynamics trap people in poverty? Oh yes, absolutely, it’s all quite terrible, and we should work on solutions to make this whole thing sane.

However, note that the basic problem will remain, which is:

  1. To live reasonably, people implicitly need ~$50k in total pay and benefits, given the Revolution of Rising Requirements and what you by law have to purchase.

  2. Thus, if you make less, we give you the difference, or your family starves.

  3. If you make more, we are going to tax you to pay for all of that.

  4. If you make the climb in effective pay steeper you make it suck that much more to make less money. You have to pick, how progressive will you make your taxation?

As an intuition pump to how tricky this is, redone from scratch for 2025, for families of exactly 4 only for now: We could change to instead provide a universal basic income (you can also call it a negative income tax) of $40k per family, plus a flat tax of about 25%-35% (depending on implementation details elsewhere) to $250k, then resume the current tax rates (so we don’t change how much we raise from the top of the distribution). No other default benefits, including Medicare and Medicaid, and no other federal taxes (no payroll, no Medicare tax and so on). My quick calculation says that’s roughly revenue neutral. Is that style of approach better? Maybe, but there’s at least one huge obvious problem, which is that this creates unsubsidized health insurance markets with no fallback, and so many others we’re not noticing. Of course, there’s huge upsides, especially if you fix the worst of the secondary effects.

Either way, good luck passing anything like this. The numbers are brutal if you’re not willing to blow up a bunch of sacred values somewhere.

The details Green discusses here are wrong again, including the fragility issue, but he’d be the first one to tell you the details and exact numbers don’t matter. His claim about a ‘different nature of the struggle’ doesn’t make sense.

But here, yes, this part’s very true and important, nail meet head:

The question we are increasingly asking is, “Why aren’t we having more families and procreating?” The answer, largely, is that we are asking families to make an investment in children that becomes a future common good and penalizing them for doing so.

Yes. Many people are saying. Children are an expensive public good. They are getting relatively expensive compared to other goods thanks to the Revolution of Rising Requirements. We are expecting parents to foot a huge portion of the bill, and that is the big problem.

It’s not a new big problem. The story of the world outside of farms has been, roughly, ‘spend your life trying to earn enough money to support as big a family as you can.’

He closes by making a bunch of other vibe-level and directionally correct but importantly false statements about the nature of wealth and transfers and the signaling theory of education, written to give a false impression, to equate the directional vibes with reality.

That works on a certain type of reader. To me and hopefully my readers, it’s toxic.

As a closing fun note, it can always be worse.

As in: You have to love the community note on this graph.

No, seriously, he took the MIT Living Wage Calculator and doubled it, and considers ‘comfortable’ to include 20% savings while meeting all ‘wants and needs.’ Must be nice.

Brennan Schlagbaum: For context…

SmartAsset studied how much families need to live a “normal” life in every US state. (covering needs, wants, AND saving 20%) The results are terrifying.

Okay, good. We got through that. We are now ready for next time.

Discussion about this post

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software-leaks-point-to-the-first-apple-silicon-“imac-pro,”-among-other-devices

Software leaks point to the first Apple Silicon “iMac Pro,” among other devices

Apple doesn’t like to talk about its upcoming products before it’s ready, but sometimes the company’s software does the talking for it. So far this week we’ve had a couple of software-related leaks that have outed products Apple is currently testing—one a pre-release build of iOS 26, and the other some leaked files from a kernel debug kit (both via MacRumors).

Most of the new devices referenced in these leaks are straightforward updates to products that already exist: a new Apple TV, a HomePod mini 2, new AirTags and AirPods, an M4 iPad Air, a 12th-generation iPad to replace the current A16 version, next-generation iPhones (including the 17e, 18, and the rumored foldable model), a new Studio Display model, some new smart home products we’ve already heard about elsewhere, and M5 updates for the MacBook Air, Mac mini, Mac Studio, and the other MacBook Pros. There’s also yet another reference to the lower-cost MacBook that Apple is apparently planning to replace the M1 MacBook Air it still sells via Walmart for $599.

For power users, though, the most interesting revelation might be that Apple is working on a higher-end Apple Silicon iMac powered by an M5 Max chip. The kernel debug kit references an iMac with the internal identifier J833c, based on a platform identified as H17C—and H17C is apparently based on the M5 Max, rather than a lower-end M5 chip. (For those who don’t have Apple’s branding memorized, “Max” is associated with Apple’s second-fastest chips; the M5 Max would be faster than the M5 or M5 Pro, but slower than the rumored M5 Ultra.)

This device could be the long-awaited, occasionally-rumored-but-never-launched replacement to Apple’s 27-inch iMac, which was discontinued in 2022 with no direct replacement. An M5 Max chip would also make this machine the closest thing we’ve seen to a direct replacement for the iMac Pro, a 27-inch iMac variant that was launched in late 2017 but likewise discontinued without an update or replacement.

The current M4 Max chip includes 14 or 16 CPU cores, 32 or 40 GPU cores, and between 36GB and 128GB of unified memory, specs we’d expect an M5 Max to match or beat. And because the Max chips already fit into the 14- and 16-inch MacBook Pros, it should be no problem to fit one into an all-in-one desktop PC.

Software leaks point to the first Apple Silicon “iMac Pro,” among other devices Read More »

2026-mercedes-cla-first-drive:-entry-level-doesn’t-mean-basic

2026 Mercedes CLA first drive: Entry level doesn’t mean basic

SAN FRANCISCO—Automakers are starting to follow somewhat familiar paths as they continue their journeys to electrification. Electric vehicles are, at first, strange new tech, and usually look like it. Mercedes-Benz’s EQS and EQE are good examples—with bodies that look like bars of soap worn down in the shower, they stood out. For early adopters and trailblazers that might be fine, but you need to sell cars to normal people if you want to survive, and that means making EVs more normal. Which is what Mercedes did with its newest one, the all-electric CLA.

The normal looks belie the amount of new technology that Mercedes has packed into the CLA, though. The car sticks to the four-door coupe look that the company pioneered a couple of decades ago, but there’s a thoroughly modern electric powertrain connected to the wheels, run by four powerful networked computers. And yes, there’s AI. (For the pedants, “coupe” means cut down, not two-door, so the name is accurate.)

The CLA is the first of a new series of Mercedes that will use the same modular architecture, and interestingly, it’s powertrain agnostic—a hybrid CLA is coming in time, too. But first the battery EV, which makes good use of some technology Mercedes developed for the EQXX concept car.

A blue Mercedes-Benz CLA parked in profile

At 185.9 inches (4,722 mm) long, 73 inches (1,854 mm) wide, and 57.8 inches (1,468 mm) tall, it’s not a particularly big car. In addition to the trunk, there’s a small frunk up front. Credit: Jonathan Gitlin

That creation was capable of about 750 miles (1,207 km) on a single charge, but it was handbuilt and lacked working rear doors or an actual back seat. The CLA manages as much as 374 miles on a full charge of its 85 kWh (useable) battery pack, although as ever this decreases a little as you fit larger wheels.

But Mercedes has been restrained in this regard, eschewing that terrible trend for larger and larger wheels. Designers use that trick to hide the size of their SUVs, but the relatively diminutive size of the CLA needs no such visual trickery, and the rims range from 17–19 inches and no larger. Smaller wheels make less drag, and even though the CLA doesn’t look like it has been rubbed smooth, its drag coefficient of 0.21 says otherwise.

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