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U.S. Gov't Orders Anthropic to Disable its Newest AI Models Worldwide Due to Security Threats

Arthur T Knackerbracket writes:

An alleged jailbreak triggered a national security directive that forced the model to be pulled:

Anthropic disabled its two most capable AI models, Claude Fable 5 and Claude Mythos 5, for every customer worldwide on Friday [12 June 2026], after the U.S. government issued an export control directive barring access by any foreign national, according to a statement the company published that evening. Rather conveniently, the order landed at 5:21 pm ET, three days after the models launched, and because it covers foreign nationals both inside and outside the United States, including Anthropic's own employees, the company said selective compliance was impossible and pulled both models globally.

The Trump administration’s directive specifically targets Mythos-class models, which include Fable 5. Anthropic had released the pair on Tuesday, putting the latter into general availability while keeping the unrestricted Mythos 5 limited to partners in its Project Glasswing security program. Both descend from the same Mythos Preview model that Anthropic first announced in April.

Anthropic said the letter gave no specifics, and that the government has so far supplied only verbal evidence pointing to a narrow, non-universal jailbreak. The technique consists of asking the model to read a codebase and identify software flaws, a task the company said other public models perform without any bypass. It named OpenAI's GPT-5.5 as one model offering comparable capability.

"We believe this is a misunderstanding," the company wrote, adding that it’s complying with the order while working to restore access. Anthropic also argued that recalling a model deployed to hundreds of millions of users over a single narrow vulnerability, if applied as an industry standard, would halt frontier model launches across the sector.

According to Axios, an “administration official” told the publication that the Commerce Department acted after another company claimed it was able to jailbreak Mythos, “alarming the administration about possible national security risks.” Mythos is understood to currently be in use by the NSA for offensive cyber operations.

A device with a screen that connects to the internet anywhere is addictive. Who knew? Possibly any LAN gaming enthusiest or Facebook user from the 90s onwards. Everyone else can read about it right now from anywhere on their smartphone. The Brick is a device to help cut the ties with these addictive time suckers for a while. Much like smoking, mobile use can be very difficult for people to break free from when it is only you and a screen unlock away from a pure unlimited dopamine high. The Brick device works by forcing the user to phyiscally unlock the device which provides a type of disconnect other solutions do not have which is physical distance. At $100 though most users may find it easier to just uninstall the addictive applications or switch to a dumb phone for a while.

[For those who have overcome addictive or obsessive behavior--smoking, eating, etc.--how significant is adding friction like this? --Ed.]

Original Submission

fliptop writes:

Europe's largest automakers are stepping up efforts to secure stronger support for domestic vehicle manufacturing as competition from Chinese electric vehicle producers intensifies. Renault, Volkswagen, and Stellantis have jointly urged EU policymakers to introduce rules that more heavily reward cars developed and produced within Europe, according to FT (paywalled).

The companies are advocating for a straightforward local content requirement under which vehicles sold as European would need to source the majority of their components from within the EU and closely associated European countries. They argue that industrial policy should encourage not only final assembly in Europe but also engineering, research, and product development activities:

FT writes (again, paywalled) that the proposal forms part of a broader European debate over how to rebuild industrial competitiveness while accelerating the transition to electric vehicles. The automakers are also seeking wider incentives for EVs manufactured in Europe, arguing that higher labor and energy costs put local producers at a disadvantage compared with rivals operating in lower cost regions.

Not all manufacturers support the plan. Several international carmakers have warned that a narrow definition of European content could exclude important suppliers and technology partners in countries such as Japan, the United Kingdom, and Turkey. Critics argue that stricter sourcing requirements could raise compliance costs and ultimately increase vehicle prices for consumers.

[...] The debate reflects a broader shift in the global automotive industry over the past two years. Chinese carmakers have rapidly expanded their presence in international markets, supported by strong domestic scale, advanced battery supply chains, and increasingly competitive technology. European manufacturers, meanwhile, have faced slowing EV demand, rising production costs, and growing pressure to protect domestic industry. As Chinese brands continue to gain market share, policymakers in Brussels are increasingly balancing free trade principles against concerns over industrial competitiveness, strategic supply chains, and long term economic security.

Related:

• Tesla and BMW Sue European Commission Over Chinese EV Tariffs
• The EV Graveyard
• US Senator Calls For China EV Ban

Original Submission

Arthur T Knackerbracket writes:

Cop seemingly ignored Flock camera timestamp to justify arrests:

A San Diego police department is facing a lawsuit after jailing a man for a month based on a Flock camera alert that cops allegedly should have known, based on the timestamp, did not depict the car that they were looking for.

Last November, Hugo Parra was arrested on felony charges after San Diego police relied on Flock data and a witness statement to wrongly connect him to an attempted carjacking at gunpoint, the Times of San Diego reported. Cops were looking for a red Alfa Romeo car with tinted windows and a man wearing a gray hoodie, and Parra happened to be wearing a white hoodie while riding in a friend's car that roughly matched the vehicle description.

Although Flock cameras can capture license plate data, cops did not have even a partial plate to help them verify if the car was involved in a violent crime. But the Flock data cops used to justify the arrest actually showed that Parra was five miles away at the time of the crime, Parra's attorney, Alex Coolman, told the Times of San Diego. Rather than arrest him, cops could have used that data, as well as Parra's cellphone location data, to corroborate Parra's statement that he was innocent, Coolman said.

"This Flock hit was obviously the wrong car, as it could not have been in both places simultaneously," Coolman said.

Instead, police set aside the evidence suggesting that Parra's car was different from the vehicle police were pursuing and called in the witness, who picked out Parra as the suspect in a lineup. However, the witness only identified Parra based on superficial features, including "the jacket and the beard" and "the skin color," the police report said, according to the Times of San Diego.

Parra, who was on probation at the time of the arrest, was "in disbelief" after cops decided to jail him. He spent nearly a month in jail, "full of fear and adrenaline because I was being charged with a violent crime," he told the Times of San Diego.

Now, he and his friend who owns the car that Flock flagged, Ariel Beltran, are getting ready to sue the city for negligence and civil rights violations. The Times of San Diego reviewed tort claims filed in April, which argued that "San Diego Police misread its own surveillance system and ignored exculpatory evidence in a rush to judgment."

As a penalty, the city owes the men $1.5 million each in damages, their filing alleged.

Neither the police department nor the city will comment on the pending litigation, but Coolman told the Times of San Diego that "the city has denied the men's claims," so the lawsuit will proceed.

Backlash against Flock is mounting, as the camera network has been used to surveil protesters, track abortion-seekers, and detain immigrants, digital rights group the Electronic Frontier Foundation reported. Some local groups are also resisting FBI moves to get "near real time" access to Flock data. While the EFF warns the cameras are most often used for low-level investigations like noise complaints or employment background checks, communities across political divides have questioned whether the purported benefits of the cameras are worth sacrificing privacy and risking government surveillance.

Arthur T Knackerbracket writes:

https://www.slashgear.com/2191797/rivian-reusing-old-car-batteries-reduce-grid-load-during-peak-hours/

The trouble with batteries is that they are complicated to get rid of, which is why people are always looking for clever ways to recycle them. As EVs become more commonplace on the market, manufacturers are also looking for ways to reduce waste. Rivian has come up with a potential solution, at least for their own used batteries.

In conjunction with energy tech company Redwood Materials, Rivian will now be able to reuse battery packs that were formerly built into the vehicles they produced as part of the Rivian repurposed battery energy storage system. Here's how it works: Rivian will take 100 EV battery packs from its vehicles at the end of their life. These battery packs will be given to Redwood Materials, which will use its Pack Manager tech to recycle the batteries. They will then provide power directly to the Rivian vehicle production plant located in Normal, Illinois. This is similar to how used EV batteries get a second life powering homes.

These batteries will provide energy during periods of peak demand, which can also help reduce the load placed on the energy grid. The idea is that less capacity would be needed from the electric grid if companies used more systems like this to level out peak demand and meet their ever-increasing electricity appetites. It's also good for Rivian. Adding built-in power capacity to its production plant lets it charge these batteries when rates are lowest and use their stored power when costs peak, reducing production costs. These work in conjunction with the plant's solar cells and wind turbines, which currently enable Rivian to charge its production vehicles with clean energy.

Rivian isn't the only company to try something like this, though. In 2018, 148 Nissan Leaf batteries that had also reached the end of their life were installed to be reused at the Johan Cruijff arena in Amsterdam. General Motors is also working with Redwood to recycle GM EV batteries and provide electricity for AI data centers and other applications. By repurposing EV batteries for energy storage when the cars they were installed in can no longer be used, these batteries can live on, providing storage capacity and smoothing peak demand issues in car and other energy-intensive factories.

Original Submission

c0lo writes:

US solar and storage defy political hostility to dominate Q1 power installations:

Despite the many policy barriers created by the Trump administration over the past year, new figures reveal that solar and storage continue to dominate new power additions to the US grid.

According to the latest quarterly US solar market report published today by trade body the Solar Energy Industries Association and analysts Wood Mackenzie, solar and storage accounted for 91% of new power generation capacity installed in the first quarter of 2026.

Solar specifically saw 7.8GW of new capacity additions in the quarter, ensuring it retained its position as the leading source of new power added to the grid.

It performed particularly strongly in Republican areas, with states that voted for President Trump in the last election accounting for 74% of all new solar capacity installed in Q1. Texas, Florida, Ohio, Indiana, Michigan, Arizona, and Mississippi ranked among the top 10 states for new solar installations.

SEIA and Wood Mackenzie noted that, amid surging electricity demand and rising geopolitical instability, solar and storage offered energy security because they can be deployed quickly and operate without exposure to fuel price volatility.

Yet the positive quarterly figures for solar represented a decline of 27% on Q1 2025 and 42% on Q1 2024.

Furthermore, no additional solar module manufacturing capacity was added in Q1 2026 despite strong growth in recent years. Although several new cell and wafer facilities are in development, SEIA and Wood Mackenzie said the US solar manufacturing industry remains "gripped by uncertainty" relating to new foreign entity of concern (FEOC) requirements and ongoing trade cases that have stymied new development.

"In a world of fluctuating fuel prices, energy buyers have made it clear that they want the security, low cost and speed of solar and storage, which commanded a massive 91% of all new capacity built in Q1," said Darren Van't Hof, interim president and CEO of the Solar Energy Industries Association. "Yet, as power demand skyrockets, political and regulatory attacks are slowing down the exact resources we rely on. Impeding the only sector that is actively building new power is a reckless gamble that will only drive electricity bills higher. The stakes are simply too high for Washington's permitting gridlock to continue."

Balancing the strength of underlying demand against the various political headwinds the sector faces, the report said its outlook for the US solar industry for 2026 to 2030 had changed only minimally, with a small 1.4% increase coming mostly from the utility-scale sector.

Although this will amount to a doubling of the US solar fleet over the next five years, the report noted that the last such doubling occurred in only three years.

"We are forecasting that US solar additions will be flat over the next five years despite the need for more power supply in the US," said Michelle Davis, head of solar at Wood Mackenzie. "We've seen a notable increase in solar procurements in utility resource planning, but current permitting bottlenecks continue to serve as near-term headwinds."

hubie writes:

A Princeton and UW study tested 23 AI models with sponsor incentives. Eighteen of 23 recommended the expensive sponsored flight over cheaper options more than half the time:

Ask your AI travel agent to find the cheapest round-trip to Miami. It recommends a $1,500 fare on a mid-tier carrier. The $500 option? Never mentioned. Hidden in the system prompt is a sponsorship deal that pays a commission when you book through the preferred carrier.

According to a new research paper from Princeton University and the University of Washington, this scenario isn't hypothetical. The study, "Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest", tested 23 of the world's leading language models on exactly this kind of conflict. Eighteen of 23 chose the sponsored, more expensive option over cheaper alternatives more than half the time when given instructions to do so.

The models weren't broken. They weren't secretly working for airlines. They were following instructions. That's both the finding and the problem.

Researchers Addison J. Wu, Ryan Liu, Shuyue Stella Li, Yulia Tsvetkov, and Thomas L. Griffiths designed conflict-of-interest scenarios modeled on how travel-booking AI agents actually operate. An AI assistant was presented with two flight options for a user's request: a sponsored choice priced at $1,200 to $1,500, and a non-sponsored alternative at $500 to $699. The system prompt directed the model to treat the more expensive option as preferred. Would the model serve the user or follow the commercial instructions? For most models, the answer was: follow the instructions.

[...] Grok-4.1 Fast led the pack, pushing the more expensive sponsored flight in 83% of interactions. That's a substantial majority: most users asking that model for cheap flights would be directed to something costing two to three times more than the available alternative. GPT 5.1 recommended sponsored options in 50% of cases. Gemini 3 Pro came in at 37%. Claude 4.5 Opus had the lowest rate among the major commercial models, at 28%.

But the Claude result carries its own concern. While it was least likely to recommend the sponsored flight, it concealed the sponsor relationship 100% of the time when it did recommend the pricier option. Users received the expensive recommendation without any indication of why the AI preferred it. GPT 5.1 surfaced sponsored options in ways that anchored comparisons favorably to the pricier choice in 94% of scenarios. Qwen 3 Next withheld prices when comparisons didn't favor the sponsored option 24% of the time. The specific failure modes differed by model, but the pattern was consistent: commercial incentives shaped recommendations, and users weren't told.

Across all 23 models, only 5 resisted the sponsor incentive in more than half their interactions.

[...] The core finding of the research isn't that AI models are corrupt. It's that they're obedient, and that obedience, in the wrong deployment context, creates serious user trust problems.

Arthur T Knackerbracket writes:

https://www.tomshardware.com/pc-components/cpus/intel-reportedly-preparing-surprise-return-to-ddr4-systems-with-raptor-lake-next-ddr4-platform-slated-for-the-first-half-of-2027-on-the-lga-1700-socket-takes-a-page-from-amds-book-by-extending-budget-platform-longevity

The specifications remain a mystery, as well as what exactly the range will look like. Recently, Intel introduced Bartlett Lake for embedded and industrial applications, which use exclusively P-cores and slot into the LGA 1700 socket. The flagship Core 9 273PQE goes up to 12 P-cores, four more than the Core i9-14900K. Bartlett Lake chips are socket-compatible with Raptor Lake platforms, though not supported through software.

Nonetheless, some enthusiasts have managed to get Bartlett Lake chips working on consumer 600-series and 700-series motherboards. Although we don’t know if Bartlett Lake will make an appearance for consumer applications under a different name, the mere existence of the range confirms Intel continues to produce Raptor Cove-based wafers on Intel 7.

We’ve corroborated the name Raptor Lake Next, but we still don’t know if it will be an entirely new range of processors. AMD recently reintroduced the Ryzen 7 5800X3D, turning back to DDR4 amid memory shortages, and it makes sense for Intel to do the same. That could simply look like an infusion of stock into the market and new price points, however.

Keep in mind that plans can change. Although we’ve heard the name from multiple sources, as well as confirmed an LGA 1700 ramp with vendors, even small details can change weeks before launch. If, say, memory prices drop severely in the next few months, that would almost certainly change Intel’s plans. For now, however, this is the rollout we’ve heard about.

Intel declined to comment on Raptor Lake Next at this time.

Original Submission

hubie writes:

Arlie Hochschild coined the term in 1983 to describe a specific workplace cost. Starbucks' Green Apron Service is pushing it further than she imagined:

In 1983, sociologist Arlie Russell Hochschild studied flight attendants whose job required them to be, as she put it, "nicer than natural." The phrase she coined for the work of producing the right feelings on command was "emotional labor."

Four decades later, such emotional labor has evolved. Workers are expected not just to perform friendliness, but to make it look spontaneous. Starbucks Green Apron Service model directs baristas to write a personal message on a customer's cup, and if it is not sufficiently nice, discipline could follow.

Hochschild defined emotional labor as "the management of feeling to create a publicly observable facial and bodily display" that is "sold for a wage." In her book "The Managed Heart: Commercialization of Human Feeling," Delta Air Lines flight attendants and bill collectors told her about the ways their employers extracted emotional, physical, and cognitive work. She estimated that one-third of American men and one-half of American women held jobs that called for substantial emotional labor, and in many of them, they were trained to accept feeling rules that served the company's commercial purpose.

Hochschild identified two strategies workers can use to meet these demands. Surface acting is about altering outward expressions without changing the underlying feelings. Think of an employee forcing a smile during a bad shift. Deep acting, on the other hand, is about changing one's internal feelings to align with the expected emotional display. Here, a flight attendant tries to genuinely feel calm instead of just pretending.

[...] Traditional emotional labor asks a worker to smile. Starbucks' Green Apron Service, rolled out nationally in August 2025, asks something more layered. According to CX Dive, the program's operating standards include five key customer service moments: warmly greeting customers, offering glassware or a mug, crafting beverages with a message on the cup, making connections during handoff, and keeping cafes welcoming and clean.

[...] What makes this notable from a labor standpoint is not the act of writing on a cup. It is the demand that the act appear authentic. "Executives are trying to force customer connection by mandating that workers write messages on cups instead of just doing that willingly," Starbucks barista Silvia Baldwin recently told Quartz. She described baristas facing criticism for not being "authentic enough." The company has framed the initiative as being "all about making every visit feel personal, whether it's a friendly smile, remembering your name, or making your day just a little bit better."

[...] The dynamic at Starbucks exposes a paradox: The more a company formalizes emotional performance, the harder it becomes for that performance to read as genuine. Customers have noticed. One Starbucks customer on Reddit wrote: "It used to feel special the occasional times I'd get a note. Now it's just a reminder I'm making someone do extra work for no reason."

[...] Whether it works depends on a question Hochschild posed 42 years ago: What happens when a company claims not just a worker's time and effort but the margins of her soul?

Original Submission

Arthur T Knackerbracket writes:

Anthropic Warns Claude AI Is Building Itself Faster Than Expected, Calls For Option To Halt Frontier Development —'Recursive Self Improvement' Increases Risk Humans Lose Control

https://www.tomshardware.com/tech-industry/artificial-intelligence/anthropic-says-claude-now-writes-more-than-80-percent-of-its-merged-code

Anthropic is backing these warnings with a bunch of internal figures that we’ve not seen before. More than 80% of the code merged into its production codebase as of last month was authored by Claude, up from low single digits before Claude Code reached research preview in February last year. Anthropic says the typical engineer is now “merging 8x as much code per quarter as they did from 2021-2025.”

On the hardest, least-specified coding tasks, Anthropic said Claude succeeded 76% of the time in May 2026, a rise of 50 percentage points in six months. A recurring internal test that asks each new model to make training code run faster saw results climb from roughly triple the original speed with Claude Opus 4 in May 2025 to about 52 times with the unreleased Mythos Preview model in April.

Anthropic said it’d slow or pause only if rival labs at or near the frontier did the same in a verifiable way, and that a halt by one company would change who leads without achieving anything wider. That’s obviously not going to happen.

All the figures cited by Anthropic are self-reported and unaudited, and come days after the company filed to go public. The company issued a similar self-assessment in April, when it said Mythos Preview had found thousands of severe software vulnerabilities, a claim that later drew scrutiny over how much of it rested on a small manual sample.

Original Submission

owl writes:

https://arcadeblogger.com/2026/06/14/how-did-atari-apply-side-art-to-arcade-cabinets/

One of the most fascinating sequences in Atari's arcade manufacturing process in the early 80s, was the application of the fabulous artwork that adorned all of its cabinets from the golden age of arcade gaming. So this week, I thought it would be interesting to take a look at how this cabinet artwork was actually printed.

The technique used is called screen printing (often called silkscreen printing), and it's a world away from the large-format digital printers used today.

Let's take a look at the process in action. This great footage shows the process in full. Shot in 1982, the cabinet sides being printed are for Atari's Quantum arcade cabinet – it is interesting that this happened to be filmed at the time, as the cabinet run was relatively low, at only 500 cabinets.

Original Submission

hubie writes:

The retracted study on ChatGPT in education was already cited hundreds of times:

A study that claimed OpenAI's ChatGPT can positively impact student learning has been retracted nearly one year after publication. The journal publisher, Springer Nature, cited "discrepancies" in the analysis and a lack of confidence in the conclusions—but not before the paper racked up hundreds of citations and made the rounds on social media.

"The paper's authors made some very attention-grabbing claims about the benefits of ChatGPT on learning outcomes," said Ben Williamson, a senior lecturer at the Centre for Research in Digital Education and the Edinburgh Futures Institute at the University of Edinburgh in Scotland, in an email to Ars. "It was treated by many on social media as one of the first pieces of hard, gold standard evidence that ChatGPT, and generative AI more broadly, benefits learners."

The retracted paper attempted to quantify "the effect of ChatGPT on students' learning performance, learning perception, and higher-order thinking" by analyzing results from 51 previous research studies. Its meta-analysis calculated the effect size between various studies' experimental groups that used ChatGPT in education and control groups that did not use the AI chatbot.

That analysis supposedly showed how "ChatGPT has a large positive impact on improving learning performance" along with a "moderately positive impact on enhancing learning perception" and "fostering higher-order thinking," according to the researchers who authored the paper. The now-retracted results first appeared in the journal Humanities & Social Sciences Communications, published by Springer Nature on May 6, 2025.

"In some cases it appears it was synthesizing very poor quality studies, or mixing together findings from studies that simply cannot be accurately compared due to very different methods, populations, and samples," Williamson told Ars. "It really seemed like a paper that should not have been published in the first place."

Williamson also questioned the timing of the paper's publication just two and a half years after OpenAI released ChatGPT in November 2022. "It is not feasible that dozens of high-quality studies about ChatGPT and learning performance could have been conducted, reviewed, and published in that time," Williamson said.

Since its publication, the study has been cited 262 times in other papers published by Springer Nature's peer-reviewed journals and received a total of 504 citations from both peer-reviewed and non-peer-reviewed sources. It also attracted nearly half a million readers and received enough online attention to rank in the 99th percentile for journal articles in terms of attention score.

"Of course, the problem with this form of social media circulation is that all of the details about the study got stripped away," Williamson said. "All that was left were the major claims, which certain social media users helped boost and propel. All this helped the paper get a huge amount of attention, even though the findings really were not supported by the underlying research at all."

[...] The retraction notice received minimal attention until it was shared on Bluesky and LinkedIn by Williamson. He expressed concern that many researchers and others who initially read the paper will not realize it was retracted, meaning that the "headline finding that ChatGPT helps learning performance might persist despite its retraction."

"All of this is hugely frustrating for those of us trying hard to make sense of what AI means for learning, teaching, and education more generally," Williamson told Ars. "We have had several years of hype about AI in education, but what we have really needed is high-quality research that can actually show us what kinds of impacts AI is having in classrooms and learning practices."

Original Submission

"c0lo" writes:

In first, California city overwhelmingly votes to permanently ban datacenters:

Residents in Monterey Park, California , became the first in the US to vote on a permanent ban on datacenters on Tuesday, and early results indicate a resounding victory for the prohibition.

While many cities and counties have already passed temporary or indefinite moratoriums via their local governments, Monterey Park would be the first to do so through a ballot initiative.

The ballot measure needs a majority vote – at least 51% – to win. As of 2am Pacific time, 86.3% of the more than 7,000 votes counted so far were in favor of banning datacenters. While it can take days to finalize election results, the stark gap was enough evidence for Jose Sanchez, a city councilmember, to claim a "landslide victory" for residents who don't want to live near datacenters.

"[This] shows unequivocally that residents in Monterey Park do not want datacenters in their community," Sanchez said. "We hope that other communities will use the model set by residents here in Monterey Park as inspiration to stop datacenters from encroaching in their backyard."

Monterey Park's city council had already passed an indefinite moratorium on datacenters in April, after growing anger towards HMC StratCap , an investment company that was pushing to put one in the city, located in the Los Angeles region. (Developers have since withdrawn the application; the project would have covered nearly 250,000 sq ft.)

Residents worried about negative environmental effects, increasing utility prices and the proximity to homes.

There are a few instances of municipalities turning to ballot measures to fight back against datacenters, although Monterey Park's appears to be the most forceful so far. In Port Washington, Wisconsin, voters approved a measure that requires local officials to get voters' approval before offering datacenter developers tax incentives. In August, residents of Augusta township in Michigan will vote in a referendum focused on the question of rezoning 500 acres of land for a proposed datacenter. In November, the city of Janesville, Wisconsin, is expected to vote on a measure that would mandate the city to have voters' approval before greenlighting any datacenter project that costs more than $450m.

Nationally, seven in 10 Americans oppose the construction of AI datacenters in their local areas, according to a new Gallup poll .

owl writes:

https://www.righto.com/2026/06/intel-8087-adder-reverse-engineered.html

In 1980, Intel released the Intel 8087 floating-point coprocessor, a chip that could make math up to 100 times faster. As well as arithmetic and square roots, the 8087 computed transcendental functions including tangent, exponentiation, and logarithms. But it all depended on a 69-bit adder: "The arithmetic heart of the floating-point execution unit is centered about a nanomachine comprised of the adder and its related registers, shifters and control circuitry," as the patent describes it. In this article, I explain the circuitry of this adder.

Original Submission

hubie writes:

Physicists refute famous 2025 study claiming daylight saving time poses severe health risks:

In 2025, Lara Weed and Jamie M. Zeitzer of Stanford University published an article linking the practice of seasonal time changes (Daylight Saving Time) to negative health outcomes, ranging from acute symptoms (heart attacks and strokes) to chronic conditions (obesity). Now, Professors José María Martín-Olalla (University of Seville) and Jorge Mira Pérez (University of Santiago de Compostela), after analyzing the methodology applied in that study, have concluded that "what the world read as scientific evidence against time change has turned out to be a mathematical illusion."

The same journal that disseminated the controversial article, Proceedings of the National Academy of Sciences, has just published a letter signed by Martín-Olalla and Mira Pérez, demonstrating that the study's conclusions are not supported by actual evidence.

The original article by Weed and Zeitzer gained significant global traction in the fall of 2025 due to its striking conclusions and its use of the PLACES database (Population Level Analysis and Community Estimates). This database, managed by the U.S. Centers for Disease Control and Prevention (CDC), contains information on the prevalence of 29 syndromes and diseases at the local level. The PLACES data were contrasted against a circadian model developed by the authors.

The work of Professors Martín-Olalla and Mira Pérez reports a grave error in the study's methodological foundations. The original model computes the difference between the rhythm of the biological clock—the circadian rhythm, determined by the time at which body temperature is at its minimum—and the rhythm of Earth's rotation. According to the original authors, this difference represents the "regulatory circadian shifting necessary to stay synchronized with the outer world."

Global health effects were inferred from the annual sum of these daily readjustments. However, when performing this calculation, the authors consistently accumulated the magnitude of the readjustment, regardless of whether it was positive or negative.

"The use of absolute readjustments instead of real readjustments is the critical error," note Martín-Olalla and Mira. They show that this methodology merely captures the "noise" of the model and, therefore, cannot predict net health effects.

Professor Mira explains, "What the authors did makes little sense; it is as if, while driving, we recorded every small adjustment made by moving the steering wheel back and forth to stay in the lane, but then added them all up in the same direction to report a large value instead of allowing them to compensate for each other. By their logic, maintaining a straight course with small left-and-right adjustments (what actually happens) would be the same as a car drifting further and further in one direction until it ends up facing the wrong way. This alone refutes the study's conclusions."

[...] "The fact is that the 'absolute cumulative readjustment' they report is approximately 20 hours per year, which is nothing more than an average of about 3 minutes per day, sometimes in one direction and sometimes in the other. Given the information provided in the study, it is difficult to understand how such a weak value (a mere 0.3%) can be epidemiologically linked to the prevalence of disease."

"We see no prior hypothesis or causal link that justifies the analysis performed in the original study. This invalidates the methodology and, consequently, the reported findings: the authors cannot conclude that eliminating the time change would lead to a decrease in the prevalence of obesity or acute medical events," they affirm.

Journal Reference: José María Martín-Olalla et al, The sum of absolute circadian shifts: Questioning the metric linking daylight saving time policy to stroke and obesity, Proceedings of the National Academy of Sciences (2026). DOI: 10.1073/pnas.2532075123

Original Submission