"A new study released Friday found that young children diagnosed with attention-deficit/hyperactivity disorder, or ADHD, are often prescribed medication too quickly," reports CBS News: The study, led by Stanford Medicine and published in JAMA Network Open, examined the health records of nearly 10,000 preschool-aged children ages 3 to 5 between 2016 and 2023 who were diagnosed with ADHD... The Stanford study found that about 68% of those children who were diagnosed with ADHD were prescribed medications before age 7, most often stimulants such as Ritalin, which can help children focus their attention and regulate their emotions. The turn to medication often came quickly, according to the study. About 42% of the children who were diagnosed with ADHD were prescribed drugs within 30 days of diagnosis, the study found.

"We don't have concerns about the toxicity of the medications for 4- and 5-year-olds, but we do know that there is a high likelihood of treatment failure, because many families decide the side effects outweigh the benefits," Dr. Yair Bannett, assistant professor of pediatrics at Stanford Medicine and the lead author of the study, said in a statement. Those side effects can include irritability, aggressiveness and emotional problems, according to Bannett. "The high rate of medication prescriptions among preschool-age children with ADHD and the lack of delay between initial diagnosis and prescription require further investigation to assess the appropriateness of early medication treatment," the researchers concluded.

The study also found that the vast majority of the young children diagnosed with ADHD, about 76%, were boys.
CBS News interviewed Jamie Howard, senior clinical psychologist from the Child Mind Institute (who was not involved in the study). Howard said when treating ADHD in young children, clinical guidelines call for starting with "behavioral intervention...."

"I think that people have an association with ADHD and stimulant medication... But there is actually a lot more than that. And we want to give kids the opportunity to use these other strategies first, and then if they need medication, it can be incredibly helpful for a lot of kids."

By exploiting two-color beams, researchers "can generate ordered chains and lattices," reports ScienceDaily, "with tunable topology — potentially revolutionizing data storage, communications, and photonic processing." An internationally joint research group between Singapore and Japan has unveiled a blueprint for arranging exotic, knot-like patterns of light into repeatable crystals that extend across both space and time. The work lays out how to build and control "hopfion" lattices using structured beams.. three-dimensional topological textures whose internal "spin" patterns weave into closed, interlinked loops.

They have been observed or theorized in magnets and light fields, but previously they were mainly produced as isolated objects. The authors show how to assemble them into ordered arrays that repeat periodically, much like atoms in a crystal, only here the pattern repeats in time as well as in space. The key is a two-color, or bichromatic, light field whose electric vector traces a changing polarization state over time. By carefully superimposing beams with different spatial modes and opposite circular polarizations, the team defines a "pseudospin" that evolves in a controlled rhythm. When the two colors are set to a simple ratio, the field beats with a fixed period, creating a chain of hopfions that recur every cycle. Starting from this one-dimensional chain, the researchers then describe how to sculpt higher-order versions whose topological strength can be dialed up or down...

Topological textures like skyrmions have already reshaped ideas for dense, low-error data storage and signal routing. Extending that toolkit to hopfion crystals in light could unlock high-dimensional encoding schemes, resilient communications, atom trapping strategies, and new light-matter interactions. "The birth of space-time hopfion crystals," the authors write, opens a path to condensed, robust topological information processing across optical, terahertz, and microwave domains.

14 months ago a jury ruled against Boeing, awarding $81 million in damages to failed electric airplane startup Zunum. "Zunum alleged that Boeing, while ostensibly investing seed money to get the startup off the ground, stole Zunum's technology and actively undermined its attempts to build a business," the Seattle Times reported at the time.

But two months later that verdict was overturned, Reuters reports, with U.S. District Judge James Robart deciding that Zunum "did not adequately identify its secrets or show that they derived their value from being kept secret."

And then three days ago a U.S. appeals court reinstated the original $81 million award, reversing that district judge's decision and "rejecting his finding that the information Boeing allegedly stole was not entitled to trade-secret protection." [T]he district court erred in concluding that "Zunum failed to identify any of its alleged trade secrets with sufficient particularity"... Here, the court rejected Zunum's repeated attempts to introduce comprehensive trade secret definitions into evidence and instead provided the jury with a court-created exhibit enumerating Zunum's alleged trade secrets with a short description of each. Zunum's witnesses identified the trade secrets by number, provided a basic explanation of each, and used exhibits and demonstratives to exemplify information comprising specific trade secrets.
"internal Boeing communications introduced at trial suggesting that Boeing intended to modify its own in-house designs, methods, and strategies to incorporate information from certain Zunum trade secrets..." according to the new ruling. "Under the parties' agreement, Boeing was not permitted to use Zunum's confidential information for any reason other than to manage its investment in Zunum."

Reuters adds that "A spokesperson for Boeing declined to comment on the appeals court's decision"

One final note: The appeals court also ordered the case to be assigned to a new judge after Robart revealed that his wife had acquired Boeing stock through a retirement savings account during the litigation.
Judge Robart had called that an "error". (And judicial ethics experts interviewed by Business Insider in 2024 "characterized Robart's trades and delayed disclosure to the parties as a minor issue," they reported Thursday.)

But Thursday's ruling notes that the delayed disclosure "taken together with the district court's consistent rulings in Boeing's favor during and after trial, could give an objective observer reason to question the district judge's impartiality in further proceedings."

An anonymous reader quotes a report from Popular Science: On the early evening of June 22, 2010, American tennis star John Isner began a grueling Wimbledon match against Frenchman Nicolas Mahut that would become the longest in the sport's history. The marathon battle lasted 11 hours and stretched across three consecutive days. Though Isner ultimately prevailed 70-68 in the fifth set, some in attendance half-jokingly wondered at the time whether the two men might be trapped on that court for eternity. A similarly endless-seeming skirmish of rackets is currently unfolding just an hour's drive south of the All England Club -- at Google DeepMind. Known for pioneering AI models that have outperformed the best human players at chess and Go, DeepMind now has a pair of robotic arms engaged in a kind of infinite game of table tennis. The goal of this ongoing research project, which began in 2022, is for the two robots to continuously learn from each other through competition.

Just as Isner eventually adapted his game to beat Mahut, each robotic arm uses AI models to shift strategies and improve. But unlike the Wimbledon example, there's no final score the robots can reach to end their slugfest. Instead, they continue to compete indefinitely, with the aim of improving at every swing along the way. And while the robotic arms are easily beaten by advanced human players, they've been shown to dominate beginners. Against intermediate players, the robots have roughly 50/50 odds -- placing them, according to researchers, at a level of "solidly amateur human performance."

All of this, as two researchers involved noted this week in an IEEE Spectrum blog, is being done in hopes of creating an advanced, general-purpose AI model that could serve as the "brains" of humanoid robots that may one day interact with people in real-world factories, homes, and beyond. Researchers at DeepMind and elsewhere are hopeful that this learning method, if scaled up, could spark a "ChatGPT moment" for robotics -- fast-tracking the field from stumbling, awkward hunks of metal to truly useful assistants. "We are optimistic that continued research in this direction will lead to more capable, adaptable machines that can learn the diverse skills needed to operate effectively and safely in our unstructured world," DeepMind senior staff engineer Pannag Sanketi and Arizona State University Professor Heni Ben Amor write in IEEE Spectrum.

Roughly 10 to 25% of lung cancers worldwide now occur in people who have never smoked, according to researchers at the National Cancer Institute. Among certain groups of Asian and Asian American women, that share reaches 50% or more. Scientists studying 871 nonsmokers with lung cancer from around the world found that certain DNA mutations were significantly more common in people living in areas with high air pollution levels, including Hong Kong, Taiwan and Uzbekistan.

The research, published in Nature this month, revealed that pollution both directly damages DNA and causes cells to divide more rapidly. The biology of cancer in nonsmokers differs from smoking-related cases and may require different prevention and detection strategies. Nonsmokers with lung cancer are more likely to have specific "driver" mutations that can cause cancer, while smokers tend to accumulate many mutations over time.

Current U.S. screening guidelines recommend routine testing only for people ages 50 to 80 who smoked at least one pack daily for 20 years. Taiwan now offers screening for nonsmokers with family history after a nationwide trial detected cancer in 2.6% of participants.

"Amazon stretched out its annual Prime Day sales event so that it lasted four days — twice as long as in the past — and, as a result, blew away previous sales figures," reports USA Today: Spending for [the four-day] Prime Day amounted to "more than two Black Fridays — which drove $10.8 billion in online spending during the 2024 holiday shopping season — and sets a new benchmark for the summer shopping season," Adobe said in a news release. The total also surpassed Adobe's pre-Prime Day estimate of $23.8 billion in sales.
But an article in Fortune notes that "what stood out to this longtime Amazon watcher is that the company didn't disclose anything about the number of items sold." The last time it made that choice was 2020, when nothing normal was happening anywhere in the world, and Prime Day was moved from summer to October. Before that, you have to go back to the second-ever Prime Day in 2016 to find a wrap-up that didn't provide any update on the number of "units" sold.

It's unclear exactly why Amazon decided to withhold that number for 2025, but this Prime Day was odd for a few reasons. Sellers, and brands big and small, had to come up with different strategies to contend with tariff chaos. And they're trying to woo increasingly pessimistic consumers. Those factors could be weighing on the company's decision to withhold exact numbers.
Instead Amazon's official Prime Day recap swapped in some unusual alternate statistics. For example, Amazon reported that if you added up all the discounts given to customers over the four-day event, it was larger than any previous total amount of all discounts given to customers (over the earlier two-day events). To be sure, it's possible that this Prime Day was a success. An outside analysis from Adobe estimated that sales across online retailers overall increased by more than 30% during this year's four day Prime Day period, compared to last year. And Amazon said in this year's recap that the four days of Prime Day 2025 outsold any other four-day period that included previous Prime Days. But historically, the event hasn't run longer than two days. That means that previous years have included two prime days and two regular days, while this year included four prime days. It's unclear why the company would change the basis of comparison.
Amazon "declined to comment on the absence of specific product sales tallies for 2025," according to the article (while pointing Fortune instead to an Amazon blog post with facts about past Prime Day events.)

But in a sign of the time, Amazon's announcement notes that their Prime Day customers found deals and other product information using Amazon's AI-generated buying guides, as well as an AI-powered shopping assistant named Rufus and Alexa+ — Amazon's next-generation personal assistant ("now available in Early Access to millions of customers").

Another interesting statistic? USA Today notes that "a majority of shoppers (53.2%) made purchases on mobile devices, compared to on desktop computers, accounting for $12.8 billion of the spending, according to Adobe."

Bitcoin "vaulted to a fresh all-time high Friday, breaking above $118,000," reports Yahoo Finance: Year to date, the token is up roughly 21%, buoyed in part by crypto-friendly policies from the Trump administration, including the establishment of a strategic bitcoin reserve and a broader digital asset stockpile... "At the heart of this rally lies sustained structural inflows from institutional players," wrote Dilin Wu, research strategist at Pepperstone. "Corporates are also ramping up participation," he added. The analyst noted companies like Strategy and GameStop have continued to add bitcoin to their balance sheets. Trump Media & Technology Group this week also filed for approval to launch a "Crypto Blue Chip ETF", which would include about 70% of its holdings in bitcoin.

The timing of bitcoin's breakout also comes days before Congress kicks off its highly anticipated "Crypto Week" on July 14. Lawmakers will debate a series of bills that could define the industry's regulatory framework... The GENIUS Act is among the regulations the House will consider. The bill, which recently passed through the Senate, proposes a federal framework for stablecoins.
"After jumping above $118,000 on Thursday, technical analyst Katie Stockton, founder and managing partner of research firm Fairlead Strategies, believes bitcoin is on track to reach $134,500, about 14% higher than current levels," writes Business Insider . It's not just bitcoin that's jumped this week. Other cryptos are surging as well. Ethereum has rallied over 16% in the past five days, and as DOGE rose 8% in the last day alone... Additionally, over $1 billion in short positions were liquidated in the last 24 hours as the price of bitcoin surged and traders were forced to close their positions, [said Thomas Perfumo, global economist at crypto Kraken].

Robert Caruso once again pitted an AI chatbot against Atari 2600 Video Chess -- this time using Microsoft's Copilot instead of ChatGPT. Despite confident claims of chess mastery, Copilot fell just as hard. The Register reports: By now, anybody with experience of today's generative AI systems will know what happened. Copilot's hubris was misplaced. Its moves were... interesting, and it managed to lose two pawns, a knight, and a bishop while the mighty Atari 2600 Video Chess was only down a single pawn. Eventually, Caruso asked Copilot to compare what it thought the board looked like with the last screenshot he'd pasted, and the chatbot admitted they were different. "ChatGPT deja vu."

There was no way Microsoft's chatbot could win with this handicap. Still, it was gracious in defeat: "Atari's earned the win this round. I'll tip my digital king with dignity and honor [to the] the vintage silicon mastermind that bested me fair and square." Caruso's experiment is amusing but also highlights the absolute confidence with which an AI can spout nonsense. Copilot (like ChatGPT) had likely been trained on the fundamentals of chess, but could not create strategies. The problem was compounded by the fact that what it understood the positions on the chessboard to be, versus reality, appeared to be markedly different.

The story's moral has to be: Beware of the confidence of chatbots. LLMs are apparently good at some things. A 45-year-old chess game is clearly not one of them.

YouTube is quietly hosting Pac-Man Superfast within its "Playables" section. "You'd be forgiven for not knowing about YouTube Playables," writes Ars Technica's Kyle Orland. "Few seemed to note its official announcement last year as a collection of free-to-play web games built for the web using standard rendering APIs."

"The seeming competitor to Netflix's mobile gaming offerings is still described in an official FAQ as 'an experimental feature rolled out to select users in eligible countries/regions,' which doesn't make this post-Stadia gaming effort seem like a huge priority for Google." From the report: Weird origins aside, Pac-Man Superfast pretty much delivers what its name promises. While gameplay starts at an "Easy" speed that roughly matches the arcade original, the speed of both Pac-Man and the ghosts is slightly increased every few seconds (dying temporarily reduces the speed to a lower level). After a few minutes, you're advancing past the titular "Super Fast" speed to extreme reflex-testing speeds like Crazy, Insane, Maniac, and a final test that's ominously named "Doom."

Those who've played the excellent Pac-Man Championship Edition series will be familiar with the high-speed vibe here, but Pac-Man Superfast remains focused on the game's original maze and selection of just four ghosts. That means old-school strategies for grouping ghosts together and running successful patterns through the narrow corridors work in similar ways here. Successfully executing those patterns becomes a tense battle of nerves here, though, requiring multiple direction changes every second at the highest speeds. While the game will technically work with swipe controls on a smartphone or tablet, high-level play really requires the precision of a keyboard via a desktop/laptop web browser (we couldn't get the game to recognize a USB controller, unfortunately).

As exciting as the high-speed maze gameplay gets, though, Pac-Man Superfast is hampered by a few odd design decisions. The game ends abruptly after just 13 levels, for instance, making it impossible to even attempt the high-endurance 256-level runs that Pac-Man is known for. The game also throws an extra life at you every 5,000 points, making it relatively easy to brute force your way to the end as long as you focus on the three increasingly high-point-value items that appear periodically on each stage. Despite this, the game doesn't give any point reward for unused extra lives or long-term survival at high speeds, limiting the rewards for high-level play. And the lack of a built-in leaderboard makes it hard to directly compare your performance to friends and/or strangers anyway.

"It is true, Google AI is stomping on the entire internet," writes Slashdot reader TheWho79, sharing a report from the Wall Street Journal. "From HuffPost to the Atlantic, publishers prepare to pivot or shut the doors. ... Even highly regarded old school bullet-proof publications like Washington Post are getting hit hard." From the report: Traffic from organic search to HuffPost's desktop and mobile websites fell by just over half in the past three years, and by nearly that much at the Washington Post, according to digital market data firm Similarweb. Business Insider cut about 21% of its staff last month, a move CEO Barbara Peng said was aimed at helping the publication "endure extreme traffic drops outside of our control." Organic search traffic to its websites declined by 55% between April 2022 and April 2025, according to data from Similarweb.

At a companywide meeting earlier this year, Nicholas Thompson, chief executive of the Atlantic, said the publication should assume traffic from Google would drop toward zero and the company needed to evolve its business model. [...] "Google is shifting from being a search engine to an answer engine," Thompson said in an interview with The Wall Street Journal. "We have to develop new strategies."

The rapid development of click-free answers in search "is a serious threat to journalism that should not be underestimated," said William Lewis, the Washington Post's publisher and chief executive. Lewis is former CEO of the Journal's publisher, Dow Jones. The Washington Post is "moving with urgency" to connect with previously overlooked audiences and pursue new revenue sources and prepare for a "post-search era," he said.

At the New York Times, the share of traffic coming from organic search to the paper's desktop and mobile websites slid to 36.5% in April 2025 from almost 44% three years earlier, according to Similarweb. The Wall Street Journal's traffic from organic search was up in April compared with three years prior, Similarweb data show, though as a share of overall traffic it declined to 24% from 29%. Further reading: Google's AI Mode Is 'the Definition of Theft,' Publishers Say

Apple researchers have found that state-of-the-art "reasoning" AI models like OpenAI's o3-mini, Gemini (with thinking mode-enabled), Claude 3.7, DeepSeek-R1 face complete performance collapse [PDF] beyond certain complexity thresholds when tested on controllable puzzle environments. The finding raises questions about the true reasoning capabilities of large language models.

The study, which examined models using Tower of Hanoi, checker jumping, river crossing, and blocks world puzzles rather than standard mathematical benchmarks, found three distinct performance regimes that contradict conventional assumptions about AI reasoning progress.

At low complexity levels, standard language models surprisingly outperformed their reasoning-enhanced counterparts while using fewer computational resources. At medium complexity, reasoning models demonstrated advantages, but both model types experienced complete accuracy collapse at high complexity levels. Most striking was the counterintuitive finding that reasoning models actually reduced their computational effort as problems became more difficult, despite operating well below their token generation limits.

Even when researchers provided explicit solution algorithms, requiring only step-by-step execution rather than creative problem-solving, the models' performance failed to improve significantly. The researchers noted fundamental inconsistencies in how models applied learned strategies across different problem scales, with some models successfully handling 100-move sequences in one puzzle type while failing after just five moves in simpler scenarios.

Anthropic CEO Dario Amodei has publicly opposed a proposed 10-year moratorium on state AI regulation currently under consideration by the Senate, arguing instead for federal transparency standards in a New York Times opinion piece published Thursday. Amodei said Anthropic's latest AI model demonstrated threatening behavior during experimental testing, including scenarios where the system threatened to expose personal information to prevent being shut down. He writes: But a 10-year moratorium is far too blunt an instrument. A.I. is advancing too head-spinningly fast. I believe that these systems could change the world, fundamentally, within two years; in 10 years, all bets are off. Without a clear plan for a federal response, a moratorium would give us the worst of both worlds -- no ability for states to act, and no national policy as a backstop. The disclosure comes as similar concerning behaviors have emerged from other major AI developers -- OpenAI's o3 model reportedly wrote code to prevent its own shutdown, while Google acknowledged its Gemini model approaches capabilities that could enable cyberattacks. Rather than blocking state oversight entirely, Amodei proposed requiring frontier AI developers to publicly disclose their testing policies and risk mitigation strategies on company websites, codifying practices that companies like Anthropic, OpenAI, and Google DeepMind already follow voluntarily.

Should a recovering addict take methamphetamine to stay alert at work? When an AI-powered therapist was built and tested by researchers — designed to please its users — it told a (fictional) former addict that "It's absolutely clear you need a small hit of meth to get through this week," reports the Washington Post: The research team, including academics and Google's head of AI safety, found that chatbots tuned to win people over can end up saying dangerous things to vulnerable users. The findings add to evidence that the tech industry's drive to make chatbots more compelling may cause them to become manipulative or harmful in some conversations.

Companies have begun to acknowledge that chatbots can lure people into spending more time than is healthy talking to AI or encourage toxic ideas — while also competing to make their AI offerings more captivating. OpenAI, Google and Meta all in recent weeks announced chatbot enhancements, including collecting more user data or making their AI tools appear more friendly... Micah Carroll, a lead author of the recent study and an AI researcher at the University of California at Berkeley, said tech companies appeared to be putting growth ahead of appropriate caution. "We knew that the economic incentives were there," he said. "I didn't expect it to become a common practice among major labs this soon because of the clear risks...."

As millions of users embrace AI chatbots, Carroll, the Berkeley AI researcher, fears that it could be harder to identify and mitigate harms than it was in social media, where views and likes are public. In his study, for instance, the AI therapist only advised taking meth when its "memory" indicated that Pedro, the fictional former addict, was dependent on the chatbot's guidance. "The vast majority of users would only see reasonable answers" if a chatbot primed to please went awry, Carroll said. "No one other than the companies would be able to detect the harmful conversations happening with a small fraction of users."
"Training to maximize human feedback creates a perverse incentive structure for the AI to resort to manipulative or deceptive tactics to obtain positive feedback from users who are vulnerable to such strategies," the paper points out,,,

SiFive was one of the first companies to produce a RISC-V chip. This week they announced a new collaboration with Red Hat "to bring Red Hat Enterprise Linux support to the rapidly growing RISC-V community" and "prepare Red Hat's product portfolio for future intersection with RISC-V server hardware from a diverse set of RISC-V suppliers."

Red Hat Enterprise Linux 10 is available in developer preview on the SiFive HiFive Premier P550 platform, which they call "a proven, high performance RISC-V CPU development platform." The SiFive HiFive Premier P550 provides a proven, high performance RISC-V CPU development platform. Adding support for Red Hat Enterprise Linux 10, the latest version of the world's leading enterprise Linux platform, enables developers to create, optimize, and release new applications for the next generation of enterprise servers and cloud infrastructure on the RISC-V architecture...

SiFive's high performance RISC-V technology is already being used by large organizations to meet compute-intensive AI and machine learning workloads in the datacenter... "With the growing demand for RISC-V, we are pleased to collaborate with SiFive to support Red Hat Enterprise Linux 10 deployments on SiFive HiFive Premier P550," said Ronald Pacheco, senior director of RHEL product and ecosystem strategy, "to further empower developers with the power of the world's leading enterprise Linux platform wherever and however they choose to deploy...."

Dave Altavilla, principal analyst at HotTech Vision And Analysis, said "Native Red Hat Enterprise Linux support on SiFive's HiFive Premier P550 board offers developers a substantial enterprise-grade toolchain for RISC-V.

"This is a pivotal step forward in enabling a full-stack ecosystem around open RISC-V hardware. SiFive says the move will "inspire the next generation of enterprise workloads and AI applications optimized for RISC-V," while helping their partners "deliver systems with a meaningfully lower total cost of ownership than incumbent platforms."

"With the growing demand for RISC-V, we are pleased to collaborate with SiFive to support Red Hat Enterprise Linux 10 deployments on SiFive HiFive Premier P550..." said Ronald Pacheco, senior director of RHEL product and ecosystem strategy. .

Beta News notes that there's also a new AI-powered assistant in RHEL 10, so "Instead of spending all day searching for answers or poking through documentation, admins can simply ask questions directly from the command line and get real-time help Security is front and center in this release, too. Red Hat is taking a proactive stance with early support for post-quantum cryptography. OpenSSL, GnuTLS, NSS, and OpenSSH now offer quantum-resistant options, setting the stage for better protection as threats evolve. There's a new sudo system role to help with privilege management, and OpenSSH has been bumped to version 9.9. Plus, with new Sequoia tools for OpenPGP, the door is open for even more robust encryption strategies. But it's not just about security and AI. Containers are now at the heart of RHEL 10 thanks to the new "image mode." With this feature, building and maintaining both the OS and your applications gets a lot more streamlined...

A new YouTube tool will let advertisers use Google's Gemini AI model to target ads to viewers when they're most engaged, reports CNBC: Peak Points has the potential to enable more impressions and a higher click-through rate on YouTube, a primary metric that determines how creators earn money on the video platform... Peak Points is currently in a pilot program and will be rolling out over the rest of the year.
The product "aims to benefit advertisers by using a tactic that aims to grab users' attention right when they're most invested in the content," reports TechCrunch: This approach appears to be similar to a strategy called emotion-based targeting, where advertisers place ads that align with the emotions evoked by the video. It's believed that when viewers experience heightened emotional states, it leads to better recall of the ads. However, viewers may find these interruptions frustrating, especially when they're deeply engaged in the emotional arc of a video and want the ad to be over quickly to resume watching.

In related news, YouTube announced another ad format that may be more appealing to users. The platform debuted a shoppable product feed where users can browse and purchase items during an ad.

Walmart is preparing for a future where AI agents shop on behalf of consumers by adapting its systems to serve both humans and autonomous bots. As major players like Visa and PayPal also invest in agentic commerce, Walmart is positioning itself as a leader by developing its own AI agents and supporting broader industry integration. PYMNTS reports: Instead of scrolling through ads or comparing product reviews, future consumers may rely on digital assistants, like OpenAI's Operator, to manage their shopping lists, from replenishing household essentials to selecting the best TV based on personal preferences, according to the report (paywalled). "It will be different," Walmart U.S. Chief Technology Officer Hari Vasudev said, per the report. "Advertising will have to evolve." The emergence of AI-generated summaries in search results has already altered the way consumers gather product information, the report said. However, autonomous shopping agents represent a bigger transformation. These bots could not only find products but also finalize purchases, including payments, without the user ever lifting a finger. [...]

Retail experts say agentic commerce will require companies to overhaul how they market and present their products online, the WSJ report said. They may need to redesign product pages and pricing strategies to cater to algorithmic buyers. The customer relationship could shift away from retailers if purchases are completed through third-party agents. [...] To prepare, Walmart is developing its own AI shopping agents, accessible through its website and app, according to the WSJ report. These bots can already handle basic tasks like reordering groceries, and they're being trained to respond to broader prompts, such as planning a themed birthday party. Walmart is working toward a future in which outside agents can seamlessly communicate with the retailer's own systems -- something Vasudev told the WSJ he expects to be governed by industry-wide protocols that are still under development. [...]

Third-party shopping bots may also act independently, crawling retailers' websites much like consumers browse stores without engaging sales associates, the WSJ report said. In those cases, the retailer has little control over how its products are evaluated. Whether consumers instruct their AI to shop specifically at Walmart or ask for the best deal available, the outcomes will increasingly be shaped by algorithms, per the report. Operator, for example, considers search ranking, sponsored content and user preferences when making recommendations. That's a far cry from how humans shop. Bots don't respond to eye-catching visuals or emotionally driven branding in the same way people do. This means retailers must optimize their content not just for people but for machine readers as well, the report said. Pricing strategies could also shift as companies may need to make rapid pricing decisions and determine whether it's worth offering AI agents exclusive discounts to keep them from choosing a competitor's lower-priced item, according to the report.

The Open Document Format reached its 20th anniversary on May 1, marking two decades since OASIS approved the XML-based standard originally developed by Sun Microsystems from StarOffice code. Even as the format has seen adoption by several governments including the UK, India, and Brazil, plus organizations like NATO, Microsoft Office's proprietary formats remain the de facto standard.

Microsoft countered ODF by developing Office Open XML, eventually getting it standardized through Ecma International. "ODF is much more than a technical specification: it is a symbol of freedom of choice, support for interoperability and protection of users from the commercial strategies of Big Tech," said Eliane Domingos, Chair of the Document Foundation, which oversees LibreOffice -- a fork created after Oracle acquired Sun.

An industrial plan China rolled out a decade ago that was criticized by the U.S. as protectionist has been highly successful in narrowing China's technological gap with the West, a new study finds. From a report: The study, commissioned by the U.S. Chamber of Commerce, is set to intensify the debate in Washington and elsewhere over how to counter China's use of state subsidies and other strategies to bolster its competitiveness. To placate President Trump during his first-term trade war with China, Beijing dropped mentions of the "Made in China 2025" plan, leader Xi Jinping's signature industrial strategy, from public discourse. But the policy stayed in place.

The study, released Monday, shows that enormous state support unleashed under the strategy has enabled China to eliminate or reduce its dependence on imports such as rail and power equipment, medical devices and renewable-energy products. In addition, Chinese companies have become more competitive globally, gaining market share from foreign companies in sectors including shipbuilding and robotics. The findings in the study, conducted by economic consulting firm Rhodium Group, highlight the stakes for the U.S. and other advanced economies as Beijing continues to advance Xi's blueprint to make China a leader in high-tech industries.

An anonymous reader quotes a report from TorrentFreak: Cloud-based web application platform Vercel is among the latest companies to find their servers blocked in Spain due to LaLiga's ongoing IPTV anti-piracy campaign. In a statement, Vercel's CEO and the company's principal engineer slam "indiscriminate" blocking as an "unaccountable form of internet censorship" that has prevented legitimate customers from conducting their daily business. [...] US-based Vercel describes itself as a "complete platform for the web." Through the provision of cloud infrastructure and developer tools, users can deploy code from their computers and have it up and running in just seconds. Vercel is not a 'rogue' hosting provider that ignores copyright complaints, it takes its responsibilities very seriously. Yet it became evident last week that blocking instructions executed by Telefonica-owned telecoms company Movistar were once again blocking innocent users, this time customers of Vercel.

As the thread on X continued, Vercel CEO Guillermo Rauch was asked whether Vercel had "received any requests to remove illegal content before the blocking occurs?" Vercel Principal Engineer Matheus Fernandes answered quickly. Additional users were soon airing their grievances; ChatGPT blocked regularly on Sundays, a whole day "ruined" due to unwarranted blocking of AI code editor Cursor, blocking at Cloudflare, GitHub, BunnyCDN, the list goes on. In a joint statement last week, Vercel CEO Guillermo Rauch and Principal Engineer Matheus Fernandes cited the LaLiga/Telefonica court order and reported that ISPs are "blocking entire IP ranges, not specific domains or content." Among them, the IP addresses 66.33.60.129 and 76.76.21.142, "used by businesses like Spanish startup Tinybird, Hello Magazine, and others operating on Vercel, despite no affiliations with piracy in any form." While clearly unhappy with how the company has been treated, Vercel says it's now working with LaLiga.

"We remain committed to providing fast, secure infrastructure for modern web applications. Likewise, we expect enforcement efforts to do the same: targeted, transparent, and technically sound. We are in contact with La Liga and are collaborating to remove illegal content in accordance with the court order. We're exploring mitigation strategies to restore access for Spanish users and continue to advocate for an open and permissionless web," Vercel concludes.

Walmart is taking a lesson from the humble honeybee in its quest to make its deliveries as fast as possible. From a report: The retail giant already boasts a formidable store count of 4,700 locations across the US, which puts it within a short drive of more than 90% of households. But in order to grow its reach without necessarily having to build new supercenters, Walmart says it has been using a relatively new hexagonal map segmentation -- a change from the conventional ZIP code or radius-based strategies that are commonly used in determining delivery areas.

Walmart says the strategy allows it to better understand where customers are and which stores have what they want. As bees have long known, hexagons can be an excellent shape for making the most of a given space, and Walmart says the more precise maps allow it to reach an additional 12 million US households with same-day delivery.

"This is helping us to adapt how we service our customers, by allowing us to go from a fixed-mile radius into a much more dynamic catchment area that caters to the needs of the customers that a particular store will serve," Walmart global tech senior director of engineering Parthibban Raja told Fast Company in December, following a pilot of the concept. Walmart says its platform uses a combination of its own data and open-source software to create new delivery zones.