In our testing, Polymarket bets are also showing up on the Google News home page. But links from the prediction market can pop up all over Google News, including in searches. In further tests, looking up “will ships transit the strait,” referring to the Strait of Hormuz, returned numerous credible sources like Financial Times, The Guardian, and Reuters. Just below them, however, was a Polymarket bet on the number of ships that would be allowed to pass through the critical oil passageway.

This doesn’t appear to be an accident. When searching “Polymarket” in its search bar, Google News now allows users to choose it as a “source,” directing them to a page that aggregates other Polymarket hits. It’s not the only non-news site that’s selectable as a source — looking up “Reddit” and “X” offers the option, too — but searching for “Kalshi,” another prediction market and Polymarket’s main competitor, doesn’t give the option to use it as a source. […] In light of all this, Polymarket appearing in Google News is a major victory for the prediction platform — rubber-stamping its image as an authority on developing real-world events right alongside genuine real publishers of journalism.

Starting this week, encrypted messages will be delivered as regular emails to Gmail recipients’ inboxes if they use the Gmail app. Recipients who don’t have the Gmail mobile app and use other email services can read them in a web browser, regardless of the device and service they’re using.

[…] This feature is now available for all client-side encryption (CSE) users with Enterprise Plus licenses and the Assured Controls or Assured Controls Plus add-on after admins enable the Android and iOS clients in the CSE admin interface via the Admin Console. Gmail’s end-to-end encryption (E2EE) feature is powered by the client-side encryption (CSE) technical control, which allows Google Workspace organizations to use encryption keys they control and are stored outside Google’s servers to protect sensitive documents and emails.

In a statement, French minister David Amiel said (translated) that the effort was to “regain control of our digital destiny” by relying less on U.S. tech companies. Amiel said that the French government can no longer accept that it doesn’t have control over its data and digital infrastructure. The French government did not provide a specific timeline for the switchover, or which distributions it was considering. Microsoft did not immediately comment on the news.

[…] France’s decision to ditch Windows comes months after the government announced it would stop using Microsoft Teams for video conferencing in favor of French-made Visio, a tool based on the open source end-to-end encrypted video meeting tool Jitsi. The French government said it also plans to migrate its health data platform to a new trusted platform by the end of the year.

An auto dealer software company is pitching AI-powered kiosks designed to replace car salesmen on showroom floors. Automotive News says the industry is “skeptical.” But be honest — would you really rather deal with the average car lot shark than a computer?

Epikar, a South Korean company that cooks up digital management solutions for car dealers, has named its new AI invention the Pikar Genie. The idea is that customers can talk to this device, ask it product questions, and basically do everything you’d do with a car salesman except for actually closing the deal and signing paperwork. Renault, BMW, and Volvo are already using some Epikar products at South Korean dealerships, but this new customer-facing AI product is still in its infancy.

AN reported that “Renault assigns three salespeople to its Seoul showroom enhanced with Epikar automation compared with six for other Renault showrooms in South Korea,” according to Epikar CEO Bosuk Han. The company’s now looking to expand into America and is apparently already testing its products at at least one dealership stateside.

Axios has identified more than a dozen such ads that were deactivated today, some of which came from large national firms like Morgan & Morgan and Sokolove Law. Almost all of them ran on both Facebook and Instagram. Some also appeared on Threads and Messenger, plus Meta’s Audience Network — which distributes ads to thousands of third-party sites.

One such ad read: “Anxiety. Depression. Withdrawal. Self-harm. These aren’t just teenage phases — they’re symptoms linked to social media addiction in children. Platforms knew this and kept targeting kids anyway.” A few of the ads still remain active, including some that were posted earlier today.

According to quantum chromodynamics (QCD) — widely considered to be our best theory for describing the strong force, which binds quarks inside protons and neutrons — even a perfect vacuum isn’t truly empty. Instead, it is filled with short-lived disturbances in the underlying energy of space that flicker in and out of existence, known as virtual particles. Among them are quark-antiquark pairs. Under normal conditions, these fleeting pairs vanish almost as soon as they appear. But if enough energy is injected into a vacuum, QCD predicts they can be promoted into real, detectable particles with measurable mass. Now, the STAR collaboration — an international team of physicists working at the Relativistic Heavy Ion Collider in Brookhaven National Laboratory in New York state — has observed this process for the first time.

The team smashed together high-energy protons in a vacuum, producing a spray of particles. Some of these particles should be quark-antiquark pairs pulled directly from the vacuum itself, but quarks can never exist alone and immediately combine into composite particles. Quarks and antiquarks are born with their spins correlated — a shared quantum alignment inherited from the vacuum. The researchers found that this link persists even after the quarks and antiquarks become part of larger particles called hyperons, which decay in less than a tenth of a billionth of a second. Spotting these spin-aligned hyperons in the aftermath of the proton collisions allowed the researchers to confirm that the quarks within them came from the vacuum.

Women in the U.S. gave birth to roughly 710,000 fewer children last year compared with the nation’s peak in 2007, according to preliminary data released (PDF) this week by the Centers for Disease Control and Prevention. Lead researcher Brady Hamilton, a demographer with the CDC’s National Center for Health Statistics, said the latest one percent drop in “general fertility” from 2024 to 2025 is part of a long-running downward trend. “Since 2007, there’s been a decline in the general fertility rate [in the U.S.] of 23%,” Hamilton told NPR.

The impact of that change in real numbers is sizable: In 2007, there were 4,316,233 babies born. Last year, even though the nation’s population as a whole is larger, there were only 3,606,400 newborns. There’s no consensus over why women and couples have shifted their behavior so significantly. Some experts point to economic factors, others say cultural influences, and better access to education and contraception for women are driving the change.

Speaking at a press briefing at Nutanix’s .NEXT conference in Chicago this week, Nutanix CEO Rajiv Ramaswami said that “about 30,000 customers” have migrated from VMware to the rival platform, pointing to customer disapproval over Broadcom’s VMware strategy, SDxCentral, a London-based IT publication, reported today. “I think there’s no doubt that the customer sentiment continues to be negative about Broadcom,” Ramaswami said, per SDxCentral.

Nutanix hasn’t specified how many of the customers that it got from VMware are SMBs or enterprise-sized; although, adoption is said to be strongest among mid-market customers as Nutanix also tries wooing larger customers, often by starting with partial deployments. During this week’s press briefing, Ramaswami reportedly said that some of the customers that moved from VMware to Nutanix during the latter’s most recent fiscal quarter represented Nutanix’s “strongest quarterly new logo additions in eight years.” “Most of the logos came from our typical VMware migrations on to the [hyperconverged infrastructure] platform,” he said.

During the Nutanix conference, Brandon Shaw, Nutanix VP and head of technology services, said that Western Union has been migrating from VMware to Nutanix for six months, The Register reported. The financial services company is moving 900 to 1,200 applications across 3,900 cores. Shaw said that Western Union has been exploring new IT suppliers to help it become more customer-focused. Despite Broadcom’s history of “decent lines of communication” with Western Union, Shaw said that Western Union had “challenges partnering with them.”

Shaw also pointed to Broadcom’s efforts to push customers to buy the VMware Cloud Foundation (VCF), despite the product often having more features than companies need and at high prices. Since moving to Nutanix, the Denver-headquartered financial firm is also benefiting from having more flexibility around workload locations, which is important since Western Union is in over 200 countries, The Register said.

Mozilla is accusing Microsoft of stacking the deck against Firefox, arguing that design choices in Windows steer users toward Edge even when they explicitly choose another browser. According to Mozilla, parts of Windows still open links in Edge regardless of the default browser setting, including results from the taskbar search and links launched from apps like Outlook and Teams. Mozilla says this means Firefox often never even gets the opportunity to handle those links, which quietly shifts user activity back into Microsoft’s ecosystem.

The company also points to Microsoft’s aggressive rollout of Copilot as another example of platform power being used to push Microsoft services. Copilot appeared pinned to the taskbar, arrived automatically on many systems with Microsoft 365, and even received a dedicated keyboard key on some laptops. Mozilla argues that when the maker of the dominant desktop operating system promotes its own browser and AI tools at the system level, it becomes far harder for independent browsers like Firefox to compete.

Access to Amazon’s chips is currently limited to Amazon Web Services, with customers paying for cloud-based usage rather than owning any physical hardware. Selling to AWS and external customers alike, as standalone chipmakers do, would put annual revenue at around $50 billion, up from the $20 billion the company estimates for the year, Jassy said. The $20 billion figure spans three product lines: Trainium, the AI accelerator chip; Graviton, a general-purpose processor; and Nitro, a chip that helps run Amazon’s EC2 server instances. All three are growing at triple-digit rates year over year, Jassy claimed in his letter.

Jassy said demand for Trainium has outpaced supply at each generation. Trainium2 is essentially unavailable, with its entire allocated capacity spoken for. Trainium3 started reaching customers in early 2026, and reservations have filled nearly all available supply. Even Trainium4 — which is not expected to reach wide release for another year and a half — has substantial pre-orders committed. Jassy argued that a full-scale Trainium rollout could shave tens of billions off annual capital costs while meaningfully widening profit margin.

OpenAI introduced its “Trusted Access for Cyber” pilot program in February after rolling out GPT-5.3-Codex, the company’s most cyber-capable reasoning model. Organizations in the invite-only program are given access to “even more cyber capable or permissive models to accelerate legitimate defensive work,” according to a blog post. At the time, OpenAI committed $10 million in API credits to participants. […]

Restricting the rollout of a new frontier model makes “more sense” if companies are concerned about models’ ability to write new exploits — rather than about their ability to find bugs in the first place, Stanislav Fort, CEO of security firm Aisle, told Axios. Staggering the release of new AI models looks a lot like how cybersecurity vendors currently handle the disclosure of security flaws in software, Lee added. “It’s the same debate we’ve had for decades around responsible vulnerability disclosure,” Lee said.

A hacker has allegedly stolen a massive trove of sensitive data — including highly classified defense documents and missile schematics — from a state-run Chinese supercomputer in what could potentially constitute the largest known heist of data from China. The dataset, which allegedly contains more than 10 petabytes of sensitive information, is believed by experts to have been obtained from the National Supercomputing Center (NSCC) in Tianjin — a centralized hub that provides infrastructure services for more than 6,000 clients across China, including advanced science and defense agencies.

Cyber experts who have spoken to the alleged hacker and reviewed samples of the stolen data they posted online say they appeared to gain entry to the massive computer with comparative ease and were able to siphon out huge amounts of data over the course of multiple months without being detected. An account calling itself FlamingChina posted a sample of the alleged dataset on an anonymous Telegram channel on February 6, claiming it contained “research across various fields including aerospace engineering, military research, bioinformatics, fusion simulation and more.” The group alleges the information is linked to “top organizations” including the Aviation Industry Corporation of China, the Commercial Aircraft Corporation of China, and the National University of Defense Technology.

Cyber security experts who have reviewed the data say the group is offering a limited preview of the alleged dataset, for thousands of dollars, with full access priced at hundreds of thousands of dollars. Payment was requested in cryptocurrency. CNN cannot verify the origins of the alleged dataset and the claims made by FlamingChina, but spoke with multiple experts whose initial assessment of the leak indicated it was genuine. The alleged sample data appeared to include documents marked “secret” in Chinese, along with technical files, animated simulations and renderings of defense equipment including bombs and missiles.

We posted to Twitter (now known as X) five to ten times a day in 2018. Those tweets garnered somewhere between 50 and 100 million impressions per month. By 2024, our 2,500 X posts generated around 2 million impressions each month. Last year, our 1,500 posts earned roughly 13 million impressions for the entire year. To put it bluntly, an X post today receives less than 3% of the views a single tweet delivered seven years ago. […]

When you go online, your rights should go with you. X is no longer where the fight is happening. The platform Musk took over was imperfect but impactful. What exists today is something else: diminished, and increasingly de minimis.

EFF takes on big fights, and we win. We do that by putting our time, skills, and our members’ support where they will effect the most change. Right now, that means Bluesky, Mastodon, LinkedIn, Instagram, TikTok, Facebook, YouTube, and eff.org. We hope you follow us there and keep supporting the work we do. Our work protecting digital rights is needed more than ever before, and we’re here to help you take back control.

Waymo uses its perception hardware, including cameras and radar, as well as accelerometers and the vehicle’s physical feedback system, to log every pothole its vehicles encounter. These sensors detect physical changes to the road’s surface, such as tilt and movement when the vehicle encounters irregularities. Originally, Waymo knew it needed the ability to detect potholes so it could ensure that its vehicles slowed down to avoid damage or injury to the passenger. Later, the company realized this could be invaluable data for cities, too.

Under the new pilot program, that data will now be made available to cities’ departments of transportation through a free-to-use Waze for Cities platform, which provides access to real-time, user-generated traffic data that officials can then use to make important decisions — such as pothole repair. The platform also allows for Waze users to validate pothole locations through their own observations, decreasing the chances that city officials will be led astray by false positives.

Currently, many cities rely on a patchwork of non-emergency 311 reports and manual inspections to address their pothole problems. Waymo developed this pilot program after collecting years of feedback from city officials about the state of their highways and surface streets. The company is launching the new pilot in the San Francisco Bay Area, as well as Los Angeles, Phoenix, Austin, and Atlanta, where Waymo says it has already helped the city identify approximately 500 potholes. Fleisher said that Waymo would be open to expanding the project to other street maladies based on further feedback from officials. The company is eager to learn what other types of street condition or safety data might be valuable, she said.

[Five skilled workers aged 50 and older spoke] to the Guardian about how, after struggling to find work in their fields, they have turned to an emerging and growing category of work: using their expertise to train artificial intelligence models. Known as data annotation, the work involves labeling and evaluating the information used to train AI models like Open AI’s ChatGPT or Google’s Gemini. A doctor, for example, might review how an AI model answers medical questions to flag incorrect or unsafe responses and suggest better ones, helping the system learn how to generate more accurate and reliable responses. The ultimate goal of training is to level up AI models until they’re capable of doing a job as well as a human could — meaning they could someday replace some of these human workers.

The companies behind AI training, such as Mercor, GlobalLogic, TEKsystems, micro1 and Alignerr, operate large contractor networks staffed by people like Ciriello. Their clients include tech giants like OpenAI, Google and Meta, academic researchers and industries including healthcare and finance. For experienced professionals, AI training contracts can be a side hustle — or a temporary fallback following a layoff — where top experts can, in some cases, earn over $180 an hour. But that’s on the high end. For some older workers […], it represents another thing entirely: a last refuge in a brutal job market that is harder to stay in, or re-enter, the older they get. For many of them, whether or not they’re training their AI replacements in their professions is besides the point. They need the work now.

[…] “There’s just a lot of desperation out there,” Johnson said. As opportunities narrow, many turn to what Joanna Lahey, a professor at Texas A&M University who studies age discrimination and labor outcomes, calls “bridge jobs” — lower-paying, less demanding roles that help workers stay financially afloat as they approach retirement. Historically, that meant taking temp assignments, retail and fast-food work and gig roles like Uber and food delivery. Now, for skilled workers — engineers, lawyers, nurses or designers, for example — using their expertise for AI data training is becoming the new bridge job. "[AI] training work may be better in some ways than those earlier alternatives,” Lahey told the Guardian.

AI training can offer flexibility, quick income and intellectual engagement. But it’s often a clear step down. Professionals in fields such as software development, medicine or finance typically earn six-figure salaries that come with benefits and paid leave, according to the US Bureau of Labor Statistics. According to online job postings, AI training gigs start at $20 an hour, with pay increasing to between $30 and $40 an hour. In some cases, AI trainers with coveted subject matter expertise can earn over $100 an hour. AI training is contract-based, though, meaning the pay and hours are unstable, and it often doesn’t come with benefits.