Honda has successfully conducted a surprise launch and landing test of its prototype reusable rocket as part of its plan to achieve suborbital spaceflight by 2029. Reuters reports: Honda R&D, the research arm of Japan's second-biggest carmaker, successfully landed its 6.3-meter (20.6-foot) experimental reusable launch vehicle after reaching an altitude of 271 meters (889 feet) at its test facility in northern Japan's space town Taiki, according to the company. While "no decisions have been made regarding commercialization of these rocket technologies, Honda will continue making progress in the fundamental research with a technology development goal of realizing technological capability to enable a suborbital launch by 2029," it said in a statement.

Honda in 2021 said it was studying space technologies such as reusable rockets, but it has not previously announced the details of the launch test. A suborbital launch may touch the verge of outer space but does not enter orbit. Studying launch vehicles "has the potential to contribute more to people's daily lives by launching satellites with its own rockets, that could lead to various services that are also compatible with other Honda business," the company added.

An anonymous reader quotes a report from Ars Technica: OpenAI executives have discussed filing an antitrust complaint with US regulators against Microsoft, the company's largest investor, The Wall Street Journal reported Monday, marking a dramatic escalation in tensions between the two long-term AI partners. OpenAI, which develops ChatGPT, has reportedly considered seeking a federal regulatory review of the terms of its contract with Microsoft for potential antitrust law violations, according to people familiar with the matter. The potential antitrust complaint would likely argue that Microsoft is using its dominant position in cloud services and contractual leverage to suppress competition, according to insiders who described it as a "nuclear option," the WSJ reports.

The move could unravel one of the most important business partnerships in the AI industry -- a relationship that started with a $1 billion investment by Microsoft in 2019 and has grown to include billions more in funding, along with Microsoft's exclusive rights to host OpenAI models on its Azure cloud platform. The friction centers on OpenAI's efforts to transition from its current nonprofit structure into a public benefit corporation, a conversion that needs Microsoft's approval to complete. The two companies have not been able to agree on details after months of negotiations, sources told Reuters. OpenAI's existing for-profit arm would become a Delaware-based public benefit corporation under the proposed restructuring.

The companies are discussing revising the terms of Microsoft's investment, including the future equity stake it will hold in OpenAI. According to The Information, OpenAI wants Microsoft to hold a 33 percent stake in a restructured unit in exchange for foregoing rights to future profits. The AI company also wants to modify existing clauses that give Microsoft exclusive rights to host OpenAI models in its cloud. The restructuring debate attracted criticism from multiple quarters. Elon Musk alleges that OpenAI violated contract provisions by prioritizing profit over the public good in its push to advance AI and has sued to block the conversion. In December, Meta Platforms also asked California's attorney general to block OpenAI's conversion to a for-profit company.

Salesforce will raise prices by an average of 6% across its Enterprise and Unlimited Editions starting August 1, 2025, while simultaneously launching new AI-focused product tiers that significantly expand the cost structure for its platform. The price increases will affect Sales Cloud, Service Cloud, Field Service, and select Industries Clouds, though the company's Foundations, Starter, and Pro Editions will remain unchanged, the company said Tuesday.

Salesforce is justifying the move by citing "significant ongoing innovation and customer value delivered through our products." The company is also rolling out new Agentforce add-ons starting at $125 per user monthly, which provide unlimited AI agent usage for employees, while premium Agentforce 1 Editions begin at $550 per user monthly and include comprehensive AI capabilities plus cloud-specific features. Slack pricing has also been restructured, with the Business+ plan now costing $15 per user monthly and a new Enterprise+ tier added, though basic Slack access will be free for all Salesforce customers.

Meetings starting after 8 p.m. are up 16% compared to a year ago, and at 10 p.m. almost a third of active workers are still monitoring their inboxes, according to research from Microsoft. Bloomberg: The company's annual work trends study, which is based on aggregated and anonymized data from Microsoft 365 users and a global survey of 31,000 desk workers, also found that almost 20% of employees actively working weekends are checking email before noon on Saturdays and Sundays [non-paywalled source], while over 5% are active on email again on Sunday evenings, gearing up for the start of the work week.

[...] Meetings are often spontaneous. Some 57% of the gatherings tallied by Microsoft came together without a calendar invite, and even 10% of scheduled meetings were booked at the last minute. [...] Mass emails, those which loop in more than 20 participants, are on the rise, climbing 7% from last year.

Google Cloud has attributed last week's widespread outage to a flawed code update in its Service Control system that triggered a global crash loop due to missing error handling and lack of feature flag protection. The Register reports: Google's explanation of the incident opens by informing readers that its APIs, and Google Cloud's, are served through our Google API management and control planes." Those two planes are distributed regionally and "are responsible for ensuring each API request that comes in is authorized, has the policy and appropriate checks (like quota) to meet their endpoints." The core binary that is part of this policy check system is known as "Service Control."

On May 29, Google added a new feature to Service Control, to enable "additional quota policy checks." "This code change and binary release went through our region by region rollout, but the code path that failed was never exercised during this rollout due to needing a policy change that would trigger the code," Google's incident report explains. The search monopolist appears to have had concerns about this change as it "came with a red-button to turn off that particular policy serving path." But the change "did not have appropriate error handling nor was it feature flag protected. Without the appropriate error handling, the null pointer caused the binary to crash."

Google uses feature flags to catch issues in its code. "If this had been flag protected, the issue would have been caught in staging." That unprotected code ran inside Google until June 12th, when the company changed a policy that contained "unintended blank fields." Here's what happened next: "Service Control, then regionally exercised quota checks on policies in each regional datastore. This pulled in blank fields for this respective policy change and exercised the code path that hit the null pointer causing the binaries to go into a crash loop. This occurred globally given each regional deployment."

Google's post states that its Site Reliability Engineering team saw and started triaging the incident within two minutes, identified the root cause within 10 minutes, and was able to commence recovery within 40 minutes. But in some larger Google Cloud regions, "as Service Control tasks restarted, it created a herd effect on the underlying infrastructure it depends on ... overloading the infrastructure." Service Control wasn't built to handle this, which is why it took almost three hours to resolve the issue in its larger regions. The teams running Google products that went down due to this mess then had to perform their own recovery chores. Going forward, Google has promised a couple of operational changes to prevent this mistake from happening again: "We will improve our external communications, both automated and human, so our customers get the information they need asap to react to issues, manage their systems and help their customers. We'll ensure our monitoring and communication infrastructure remains operational to serve customers even when Google Cloud and our primary monitoring products are down, ensuring business continuity."

Intel will lay off 15% to 20% of its factory workforce starting in July, potentially cutting over 10,000 jobs as part of a broader effort to streamline operations amid declining sales and mounting competitive pressure. "These are difficult actions but essential to meet our affordability challenges and current financial position of the company. It drives pain to every individual," Intel manufacturing Vice President Naga Chandrasekaran wrote to employees Saturday. "Removing organizational complexity and empowering our engineers will enable us to better serve the needs of our customers and strengthen our execution. We are making these decisions based on careful consideration of what's needed to position our business for the future." The company reiterated that "we will treat people with care and respect as we complete this important work." Oregon Live reports: Intel announced the pending layoffs in April and notified factory workers last week that the cuts would begin in July. It hadn't previously said just how deep the layoffs will go. The company had 109,000 employees at the end of 2024, but it's not clear how many of those worked in its factory division -- called Intel Foundry. The Foundry business includes a broad array of jobs, from technicians on the factory floor to specialized researchers who work years in advance to develop future generations of microprocessors.

Intel is planning major cuts in other parts of its business, too, but employees say the company hasn't specified how many jobs it will eliminate in each business unit. Workers say they believe the impacts will vary within departments. Overall, though, the layoffs will surely eliminate several thousand jobs -- and quite possibly more than 10,000.

A new Salesforce-led study found that LLM-based AI agents struggle with real-world CRM tasks, achieving only 58% success on simple tasks and dropping to 35% on multi-step ones. They also demonstrated poor confidentiality awareness. "Agents demonstrate low confidentiality awareness, which, while improvable through targeted prompting, often negatively impacts task performance," a paper published at the end of last month said. The Register reports: The Salesforce AI Research team argued that existing benchmarks failed to rigorously measure the capabilities or limitations of AI agents, and largely ignored an assessment of their ability to recognize sensitive information and adhere to appropriate data handling protocols.

The research unit's CRMArena-Pro tool is fed a data pipeline of realistic synthetic data to populate a Salesforce organization, which serves as the sandbox environment. The agent takes user queries and decides between an API call or a response to the users to get more clarification or provide answers.

"These findings suggest a significant gap between current LLM capabilities and the multifaceted demands of real-world enterprise scenarios," the paper said. [...] AI agents might well be useful, however, organizations should be wary of banking on any benefits before they are proven.

An anonymous reader quotes a report from TechCrunch: While Silicon Valley executives like those from Palantir, Meta, and OpenAI are grabbing headlines for trading their Brunello Cucinelli vests for Army Reserve uniforms, a quieter transformation has been underway in the U.S. Navy. How so? Well, the Navy's chief technology officer, Justin Fanelli, says he has spent the last two and a half years cutting through the red tape and shrinking the protracted procurement cycles that once made working with the military a nightmare for startups. The efforts represent a less visible but potentially more meaningful remaking that aims to see the government move faster and be smarter about where it's committing dollars.

"We're more open for business and partnerships than we've ever been before," Fanelli told TechCrunch in a recent episode of StrictlyVC Download. "We're humble and listening more than before, and we recognize that if an organization shows us how we can do business differently, we want that to be a partnership." Right now, many of these partnerships are being facilitated through what Fanelli calls the Navy's innovation adoption kit, a series of frameworks and tools that aim to bridge the so-called Valley of Death, where promising tech dies on its path from prototype to production. "Your granddaddy's government had a spaghetti chart for how to get in," Fanelli said. "Now it's a funnel, and we are saying, if you can show that you have outsized outcomes, then we want to designate you as an enterprise service."

In one recent case, the Navy went from a Request for Proposal (RFP) to pilot deployment in under six months with Via, an eight-year-old, Somerville, Massachusetts-based cybersecurity startup that helps big organizations protect sensitive data and digital identities through, in part, decentralization, meaning the data isn't stored in one central spot that can be hacked. (Another of Via's clients is the U.S. Air Force.) The Navy's new approach operates on what Fanelli calls a "horizon" model, borrowed and adapted from McKinsey's innovation framework. Companies move through three phases: evaluation, structured piloting, and scaling to enterprise services. The key difference from traditional government contracting, Fanelli says, is that the Navy now leads with problems rather than predetermined solutions. "Instead of specifying, 'Hey, we'd like this problem solved in a way that we've always had it,' we just say, 'We have a problem, who wants to solve this, and how will you solve it?'" Fanelli said.

Thousands of American investors have lost millions of dollars to sophisticated pump-and-dump schemes involving small Chinese companies listed on Nasdaq, prompting the Justice Department to declare the fraud a priority under the Trump administration's white-collar enforcement program.

The scams recruit victims through social media ads and WhatsApp messages, directing them to purchase shares in obscure Chinese firms whose stock prices are artificially inflated before collapsing. Since 2020, nearly 60 China-based companies have conducted initial public offerings on Nasdaq raising $15 million or less each, with more than one-third experiencing sudden single-day price drops exceeding 50%. In one recent case, seven traders earned over $480 million by defrauding 600 victims who purchased shares in China Liberal Education Holdings.

A Dutch court on Monday confirmed a 2021 consumer watchdog's ruling saying that Apple had abused its dominant position by imposing unfair conditions on providers of dating apps in the App Store. From a report: The Rotterdam District Court ruled that the Dutch Authority for Consumers and Markets (ACM) was therefore right to impose an order subject to a penalty for non-compliance. The court ruled that ACM was right in finding that dating app providers had to use Apple's own payment system, were not allowed to refer to payment options outside the App Store, and had to pay a 30% commission (15% for small providers) to Apple.

"Walmart is bringing drone deliveries to three more states," reports CNBC: On Thursday, the big-box retailer said it plans to launch the speedier delivery option at 100 stores in Atlanta, Charlotte, Houston, Orlando and Tampa within the coming year. With the expansion, Walmart's drone deliveries will be available in a total of five states: [parts of northwest] Arkansas, Florida, Georgia, North Carolina and [the Dallas-Fort Worth area of] Texas... The drone operator will have an up to a six-mile range from stores.
Walmart tells CNBC the most frequently delivered items include ice cream, fresh fruit, and pet food, as well as "urgent items, such as hamburger buns for a cookout, eggs to make brownies or Tylenol or cold medicine needed when sick." It's all part of Walmart's effort to compete with Amazon: With more than 4,600 Walmart stores across the U.S., the retailer has used its large footprint to get online orders to customers faster. It has an Express Delivery service that drops purchases at customers' doors in as fast as 30 minutes, along with InHome, a subscription-based service, that puts items directly into people's fridges. The company began same-day prescription deliveries last fall and has expanded the service across the country.... Walmart stores have an assortment of over 150,000 items in a location. Over 50% of those can be delivered by drone, said Greg Cathey [Walmart's senior VP for U.S. transformation and innovation]...

Walmart's drone delivery count so far is modest. The company did not share the specific count, but said it has racked up a total of more than 150,000 drone deliveries since 2021.

The state of New York is "asking companies to disclose whether AI is the reason for their layoffs," reports Entrepreneur: The move applies to New York State's existing Worker Adjustment and Retraining Notification (WARN) system and took effect in March, Bloomberg reported. New York is the first state in the U.S. to add the disclosure, which could help regulators understand AI's effects on the labor market.

The change takes the form of a checkbox added to a form employers fill out at least 90 days before a mass layoff or plant closure through the WARN system. Companies have to select whether "technological innovation or automation" is a reason for job cuts. If they choose that option, they are directed to a second menu where they are asked to name the specific technology responsible for layoffs, like AI or robots.

"Cooper Taylor is only 17 years old, but he's already trying to revolutionize the drone industry," writes Business Insider: His design makes the drone more efficient, customizable, and less expensive to construct, he says. He's built six prototypes, 3D printing every piece of hardware, programming the software, and even soldering the control circuit board. He says building his drone cost one-fifth of the price of buying a comparable machine, which sells for several thousand dollars. Taylor told Business Insider he hopes that "if you're a first responder or a researcher or an everyday problem solver, you can have access to this type of drone."

His innovation won him an $8,000 scholarship in April at the Junior Science and Humanities Symposium, funded by the Defense Department. Then, on May 16, he received an even bigger scholarship of $15,000 from the US Navy, which he won after presenting his research at the Regeneron International Science and Engineering Fair...

It all started when Taylor's little sister got a drone, and he was disappointed to see that it could fly for only about 30 minutes before running out of power. He did some research and found that a vertical take-off and landing, or VTOL, drone would last longer. This type of drone combines the multi-rotor helicopter style with the fixed wings of an airplane, making it extremely versatile. It lifts off as a helicopter, then transitions into plane mode. That way, it can fly farther than rotors alone could take it, which was the drawback to Taylor's sister's drone. Unlike a plane-style drone, though, it doesn't need a runway, and it can hover with its helicopter rotors.
Taylor designed a motor "that could start out helicopter-style for liftoff, then tilt back to become an airplane-style motor," according to the article.

And now this summer he'll be "working on a different drone project through a program with the Reliable Autonomous Systems Lab at the Massachusetts Institute of Technology."

Thanks to Slashdot reader Agnapot for sharing the news.

Meta's CTO, Palantir's CTO, and OpenAI's chief product officer are being appointed as lieutenant colonels in America's Army Reserve, reports The Register. (Along with OpenAI's former chief revenue officer).

They've all signed up for Detachment 201: Executive Innovation Corps, "an effort to recruit senior tech executives to serve part-time in the Army Reserve as senior advisors," according to the official statement. "In this role they will work on targeted projects to help guide rapid and scalable tech solutions to complex problems..." "Our primary role will be to serve as technical experts advising the Army's modernization efforts," [Meta CTO Andrew Bosworth] said on X...

As for Open AI's involvement, the company has been building its ties with the military-technology complex for some years now. Like Meta, OpenAI is working with Anduril on military ideas and last year scandalized some by watering down its past commitment to developing non-military products only. The Army wasn't answering questions on Friday but an article referenced by [OpenAI Chief Product Officer Kevin] Weil indicated that the four will have to serve a minimum of 120 hours a year, can work remotely, and won't have to pass basic training...

"America wins when we unite the dynamism of American innovation with the military's vital missions," [Palantir CTO Shyam] Sankar said on X. "This was the key to our triumphs in the 20th century. It can help us win again. I'm humbled by this new opportunity to serve my country, my home, America."

According to market analyst firm Canalys, enterprise adoption of AI is slowing due to unpredictable and often high costs associated with model inferencing in the cloud. Despite strong growth in cloud infrastructure spending, businesses are increasingly scrutinizing cost-efficiency, with some opting for alternatives to public cloud providers as they grapple with volatile usage-based pricing models. The Register reports: [Canalys] published stats that show businesses spent $90.9 billion globally on infrastructure and platform-as-a-service with the likes of Microsoft, AWS and Google in calendar Q1, up 21 percent year-on-year, as the march of cloud adoption continues. Canalys says that growth came from enterprise users migrating more workloads to the cloud and exploring the use of generative AI, which relies heavily on cloud infrastructure.

Yet even as organizations move beyond development and trials to deployment of AI models, a lack of clarity over the ongoing recurring costs of inferencing services is becoming a concern. "Unlike training, which is a one-time investment, inference represents a recurring operational cost, making it a critical constraint on the path to AI commercialization," said Canalys senior director Rachel Brindley. "As AI transitions from research to large-scale deployment, enterprises are increasingly focused on the cost-efficiency of inference, comparing models, cloud platforms, and hardware architectures such as GPUs versus custom accelerators," she added.

Canalys researcher Yi Zhang said many AI services follow usage-based pricing models that charge on a per token or API call basis. This makes cost forecasting hard as the use of the services scale up. "When inference costs are volatile or excessively high, enterprises are forced to restrict usage, reduce model complexity, or limit deployment to high-value scenarios," Zhang said. "As a result, the broader potential of AI remains underutilized." [...] According to Canalys, cloud providers are aiming to improve inferencing efficiency via a modernized infrastructure built for AI, and reduce the cost of AI services. The report notes that AWS, Azure, and Google Cloud "continue to dominate the IaaS and PaaS market, accounting for 65 percent of customer spending worldwide."

"However, Microsoft and Google are slowly gaining ground on AWS, as its growth rate has slowed to 'only' 17 percent, down from 19 percent in the final quarter of 2024, while the two rivals have maintained growth rates of more than 30 percent."

An anonymous reader quotes a report from The Register: UK universities and colleges have signed a framework worth up to 9.86 million pounds ($13.33 million) with Oracle to use its controversial Java SE Universal Subscription model, in exchange for a "waiver of historic fees due for any institutions who have used Oracle Java since 2023." Jisc, a membership organization that runs procurement for higher and further education establishments in the UK, said it had signed an agreement to purchase the new subscription licenses after consultation with members. In a procurement notice, it said institutions that use Oracle Java SE are required to purchase subscriptions. "The agreement includes the waiver of historic fees due for any institutions who have used Oracle Java since 2023," the notice said.

The Java SE Universal Subscription was introduced in January 2023 to an outcry from licensing experts and analysts. It moved licensing of Java from a per-user basis to a per-employee basis. At the time, Oracle said it was "a simple, low-cost monthly subscription that includes Java SE Licensing and Support for use on Desktops, Servers or Cloud deployments." However, licensing advisors said early calculations to help some clients showed that the revamp might increase costs by up to ten times. Later, analysis from Gartner found the per-employee subscription model to be two to five times more expensive than the legacy model.

"For large organizations, we expect the increase to be two to five times, depending on the number of employees an organization has," Nitish Tyagi, principal Gartner analyst, said in July 2024. "Please remember, Oracle defines employees as part-time, full-time, temporary, agents, contractors, as in whosoever supports internal business operations has to be licensed as per the new Java Universal SE Subscription model." Since the introduction of the new Oracle Java licensing model, user organizations have been strongly advised to move off Oracle Java and find open source alternatives for their software development and runtime environments. A survey of Oracle users found that only one in ten was likely to continue to stay with Oracle Java, in part as a result of the licensing changes.

Anne Wojcicki, co-founder of 23andMe, has regained control of the bankrupt DNA-testing company after a nonprofit she controls outbid Regeneron Pharmaceuticals with a $305 million offer. The company filed for bankruptcy in March due to declining demand and fallout from a major 2023 data breach.

"The agreement with non-profit TTAM Research Institute is the result of a final round of bidding that occurred earlier today between TTAM and Regeneron Pharmaceuticals," the company said in a statement.

GameStop is leaning heavily to trading cards as part of its future strategy, according to CEO Ryan Cohen. The news comes as a part of larger strategy shift to buy and hold a lot of bitcoin. From a report: Cohen has said that continuing to focus on trading cards, including the incredibly popular recent Pokemon card sets, is a "natural extension" of GameStop's business. He added that the collectibles could have potential for high profit margins.

Pokemon cards have a seen a gigantic resurgence recently. Stores regularly sell of sets, including the Destined Rivals set that launched on May 30. Cards have become increasingly hard to find as scalpers buy up supply and sell Pokemon card products -- including cards, special boxes, and accessories -- at exorbitant prices.

Walmart and Amazon are exploring the possibility of issuing their own stablecoins in the United States, WSJ reported Friday, potentially shifting billions of dollars in transaction volume away from traditional banks and card networks. The retail giants, along with Expedia Group and several airlines, have recently discussed launching corporate stablecoins that would allow them to circumvent the existing payments infrastructure dominated by Visa and Mastercard.

The companies' final decisions hinge on passage of the Genius Act, legislation currently moving through Congress that would establish a regulatory framework for stablecoins. These digital currencies maintain a one-to-one exchange ratio with dollars and are backed by cash or Treasury reserves, offering merchants the potential for faster payment settlement and significantly reduced processing fees compared to traditional card transactions that can take days to clear.

An anonymous reader shares a report: Slack, an instant-messaging service popular with businesses, recently blocked other software firms from searching or storing Slack messages even if their customers permit them to do so, according to a public disclosure from Slack's owner, Salesforce.

The move, which hasn't previously been reported, could hamper fast-growing artificial intelligence startups that have used such access to power their services, such as Glean. Since the Salesforce change, Glean and other applications can no longer index, copy or store the data they access via the Slack application programming interface on a long-term basis, according to the disclosure. Salesforce will continue allowing such firms to temporarily use and store their customers' Slack data, but they must delete the data, the company said.