After addressing a widespread outage that affected Outlook.com users worldwide on Monday, Microsoft has asked iPhone users to re-enter their credentials to regain access to their Outlook and Hotmail accounts via the default Mail app.

Microsoft confirmed the incident yesterday morning, saying that customers were experiencing intermittent sign-in issues that prevented them from accessing their mailboxes via Outlook.com.

In a later update, it added that some of the affected users were also being signed out of their accounts and seeing “too many requests’ errors.

Before mitigating the outage, roughly 10 hours after the first user reports, Microsoft blamed the Outlook.com sign-in issues on a “recently introduced change” but didn’t share any further details.

On Monday evening, around 7 PM UTC, the company said the service health had returned to normal, but added that iOS users “must” manually re-enter their credentials to access their accounts via the default Mail app by going through the following step-by-step procedure:

1. Open the Settings app on your iPhone.
2. Scroll down and tap on Mail.
3. Select Accounts under the Mail settings.
4. Tap on the email account for which you need to re-enter the password.
5. Tap Account Settings or the Password field directly (depending on your iOS version).
6. Enter the updated or correct password in the Password field.
7. Tap Done to save the changes.
8. Open the Mail app to confirm that the account is syncing properly and emails are being sent/received.

Microsoft hasn’t shared more information about the outage’s root cause and hasn’t disclosed which regions or how many users were affected.

However, the incident was flagged as causing “service degradation,” a label typically used for incidents with noticeable user impact that don’t take the service offline for everyone.

In March, Microsoft also addressed an Exchange Online outage that blocked customers’ access to mailboxes and calendars via Outlook on the web, Outlook desktop, Exchange ActiveSync, and other Exchange Online connection protocols.

The same day, it resolved a separate issue that caused Microsoft 365 Copilot and Office.com sign‑in problems impacting the Microsoft Copilot desktop app, Copilot in Microsoft Teams, and Copilot in Office apps.

More recently, in early April, it resolved a known issue that prevented some Classic Outlook users from sending or replying to emails via Outlook.com, and they were instead receiving non-delivery reports (NDRs) with 0x80070005-0x0004dc-0x000524 errors.

Microsoft is also investigating an issue that causes the mouse pointer to disappear for some users in Classic Outlook, OneNote, and other Microsoft 365 apps, as well as a bug that triggers “Can’t connect to the server” errors when creating groups in Classic Outlook.

AI chained four zero-days into one exploit that bypassed both renderer and OS sandboxes. A wave of new exploits is coming.

At the Autonomous Validation Summit (May 12 & 14), see how autonomous, context-rich validation finds what’s exploitable, proves controls hold, and closes the remediation loop.

Claim Your Spot

Watch Champions League 2025/26 semi-final live streams as four European titans meet over what are guaranteed to be red-hot two-legged matches to decide who will contest the final in Hungary later this month. First up on Tuesday is PSG vs Bayern Munich, followed by Atlético Madrid vs Arsenal on Wednesday.

It’s taken PSG a while to catch light in their title defense but they’re firing now. The French champions dispatched Liverpool over two legs in the last eight, with Khvicha Kvaratskhelia and Ousmane Dembélé providing the attacking gloss. Bayern, who won the league phase match between the teams 2-1, have already won the Bundesliga but will have coach Vincent Kompany suspended for picking up a third yellow card during the quarter-final defeat of Real Madrid. Harry Kane seeks a goal in a sixth Champions League game in a row.

Google is determined to impose AI search onto as many of its products as possible, and the latest, er, victim is YouTube. A new feature called “Ask YouTube” will let you pose complex questions and receive “comprehensive results that include video and text, then ask follow ups to dive deeper,” Google explained on its YouTube Labs page. The experimental feature is available starting today until June 8 for Premium US subscribers 18 and older.

To use it, first, enable the feature in your account. Then, click on the new “Ask YouTube” button in the search bar and you’ll see prompt suggestions, or you can enter your own, like “plan a 3-day road trip between San Francisco and Santa Barbara.” After getting the results, you can try follow-up questions or choose from suggested prompts to explore in more detail.

As shown in The Verge‘s quick test, the prompt “short history of Apollo 11 moon landing” brought up a summary of the mission, along with videos and time stamps for relevant information. Follow-up questions yielded similar results, but some queries just showed a list of videos like you’d see in a classic YouTube search. As happens with AI, one of the searches (around a Steam Controller) yielded factually inaccurate information, according to The Verge‘s Jay Peters.

Tech companies love AI a lot more than the public, and YouTube users are particularly passionate about hating AI-generated slop. YouTube’s AI search function may fare better with subscribers, but only if it helps them find quality content more quickly.

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Squarespace continues to reign at the top of our list of the best website builders, with features and customizable templates that help any skill level design like a pro. But don’t just take our word, users can start with a free 14-day trial and then make a decision on which plan best suits their personal or business’ needs. Squarespace frequently releases discount codes for 20% off new websites, but forget needing one–the easiest way to save up to 36% is by locking in an annual price rather than a pay-as-you-go model with the monthly plan. You’ll need your business to have a website for longevity, so I’d recommend buying long term and saving big.

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Students Get a 50% Off Squarespace Discount Code

Like Millennials and Gen Z-ers, Squarespace knows just how important our digital footprint is in this day and age. That’s why Squarespace is offering a student discount, where students can get 50% off annual plans to help launch their burgeoning business. All you need to do to get the Squarespace coupon code is verify your student status with Student Beans. Once you’ve verified using the free service, just input the offer code during checkout. Note: authorized students can obtain only one code every 12 months, whether the offer code is redeemed or not.

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Squarespace Circle perks is how people can get rewarded for using the platform. While you previously had to launch three websites to be eligible for Squarespace Circle, now any creative professionals can join (for free).

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Along with this job, I also have a personal writing career, which focuses on creative nonfiction memoir-style writing. Now that I’ve gotten about half a dozen essays published, I’ve been wanting to make a website so people can more easily find my work online. I’ve never designed a website before, but Squarespace portfolio makes it easier than ever to showcase my work with professionally designed, mobile-friendly layouts.

Check Out the New Squarespace AI Website Builder

AI is everywhere, and here at WIRED, we know it all too well. Squarespace is jumping on the AI bandwagon, with its new Blueprint AI service, which helps you smartly build your website. It’s free to use, although you need a paid Squarespace account to publish any website you create with Blueprint AI. If that’s not your jam and you prefer to go a little more old school, you can browse pre-built website templates, including specific designs optimized for various business focuses and needs.

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Microsoft and OpenAI on Monday announced a sweeping overhaul of the partnership that has defined the commercial AI era, dismantling key pillars of exclusivity and revenue-sharing that bound the two companies together for years and replacing them with a looser, time-limited arrangement that gives both sides far more freedom to pursue rival relationships.

The amended agreement, disclosed simultaneously in blog posts from both companies, marks the most significant restructuring since Microsoft first invested $1 billion in OpenAI in 2019 — and it transforms what was once the most consequential exclusive technology alliance in a generation into something that more closely resembles a strategic but arm’s-length commercial relationship.

Under the new terms, Microsoft will no longer pay any revenue share to OpenAI when customers access OpenAI models through Azure. OpenAI, meanwhile, will continue paying a revenue share to Microsoft through 2030 — at the same 20 percent rate — but that obligation is now subject to a total cap. Microsoft retains a license to OpenAI’s intellectual property for models and products through 2032, but that license is now explicitly non-exclusive. And OpenAI, critically, can now serve all of its products to customers on any cloud provider — including Amazon Web Services and Google Cloud — ending the exclusivity that had been a cornerstone of the original deal.

“The rapid pace of innovation requires us to continue to evolve our partnership to benefit our customers and both companies,” Microsoft wrote in its blog post Monday. OpenAI echoed the framing, calling the amended agreement a move “grounded in flexibility, certainty, and a focus on delivering the benefits of AI broadly.”

The diplomatic language belies the drama that led to this moment — months of behind-the-scenes tension, competing deal announcements, public contradictions, and even the specter of litigation between two companies whose fates have been intertwined since the earliest days of the generative AI revolution.

How a billion-dollar bet on AI created the most powerful exclusive partnership in tech

To understand why Monday’s announcement matters so much, it helps to understand what came before it. When Microsoft poured its initial $1 billion into OpenAI in 2019, and then followed with a cumulative investment exceeding $13 billion, it secured something extraordinary: exclusive commercial access to OpenAI’s models and intellectual property. Azure became the sole cloud provider for OpenAI’s API products. Microsoft integrated OpenAI’s GPT models into everything from Bing to Office to GitHub Copilot. The arrangement was, by any measure, one of the most lopsided technology licensing deals in modern history — Microsoft got privileged access to the most capable AI models on the planet, and OpenAI got the capital and infrastructure it needed to scale.

The deal even contained an unusual provision: Microsoft’s exclusive rights would remain in force until OpenAI achieved artificial general intelligence, or AGI — a loosely defined milestone referring to AI systems that rival or exceed human intelligence across a broad range of tasks. OpenAI’s board retained the authority to declare when AGI had been reached, at which point certain commercial terms would change. It was, in effect, a philosophical tripwire embedded in a business contract.

That structure worked well enough when OpenAI was a research lab with a modest commercial footprint. But as ChatGPT exploded into the mainstream in late 2022 and OpenAI’s annualized revenue rocketed into the billions, the constraints began to chafe. OpenAI found itself locked into a single cloud ecosystem at precisely the moment when enterprises — its fastest-growing customer segment — were demanding multi-cloud flexibility. In an internal memo earlier this month, OpenAI’s revenue chief Denise Dresser put it bluntly, telling staff that the Microsoft partnership had “limited our ability to meet enterprises where they are,” according to a report from The Verge.

Amazon’s $50 billion OpenAI investment created a legal crisis that forced the restructuring

The proximate cause of Monday’s restructuring was not a philosophical disagreement about AI safety or corporate governance. It was a $50 billion check from Amazon. In February, OpenAI announced that Amazon would invest up to $50 billion in the company — $15 billion upfront, with another $35 billion to follow when certain unspecified conditions were met. In exchange, OpenAI agreed to expand its existing cloud agreement with AWS by $100 billion over eight years and, most controversially, committed to making AWS the exclusive third-party distribution provider for Frontier, its new enterprise agent-building platform. OpenAI also agreed to co-develop “stateful runtime technology” on AWS Bedrock, the infrastructure layer that allows AI agents to maintain memory and context over extended tasks.

The problem was that OpenAI’s existing contract with Microsoft almost certainly prohibited these arrangements. Microsoft held exclusive rights to any OpenAI product accessed through an API — a category that plainly included Frontier. On the very day OpenAI announced the Amazon deal, Microsoft issued a pointed public statement insisting that “Azure remains the exclusive cloud provider of stateless OpenAI APIs” and that “OpenAI’s first party products, including Frontier, will continue to be hosted on Azure.” The contradiction between the two announcements was stark, and it created immediate legal exposure. The Financial Times reported in March that Microsoft was actively considering legal action to enforce its contractual rights. The situation placed OpenAI in an impossible position: it had made promises to Amazon that it seemingly could not keep under the terms of its Microsoft agreement.

Monday’s deal resolves that impasse entirely. By converting Microsoft’s license from exclusive to non-exclusive and explicitly granting OpenAI the right to serve products on any cloud, the new terms retroactively validate the Amazon arrangement and eliminate the legal overhang. Amazon CEO Andy Jassy wasted no time celebrating. “We’re excited to make OpenAI’s models available directly to customers on Bedrock in the coming weeks, alongside the upcoming Stateful Runtime Environment,” he wrote on X, adding that the company would share more details at an event in San Francisco on Tuesday.

Inside the new financial terms that shift billions of dollars between the two AI giants

The financial mechanics of the new deal deserve careful parsing, because they reveal which side gave up what — and who came out ahead. Under the old arrangement, money flowed in both directions. When customers bought ChatGPT subscriptions or accessed OpenAI models through their own applications, OpenAI paid Microsoft a cut — reportedly 20 percent. Conversely, when enterprise customers accessed OpenAI models through Azure’s API, Microsoft paid OpenAI a share of that revenue. This bilateral structure reflected the deep integration between the two companies: Microsoft was simultaneously OpenAI’s investor, cloud provider, distribution partner, and largest customer.

The new deal makes the cash flow one-directional. Microsoft stops paying OpenAI entirely. OpenAI continues paying Microsoft its 20 percent share, but only through 2030, and now subject to a total cap whose precise dollar figure has not been disclosed. Given that OpenAI’s revenue is growing rapidly — the company was reportedly on pace to generate tens of billions annually — that cap could become material relatively quickly.

For Microsoft, the trade-off is straightforward: it sacrifices the exclusivity that made Azure the only gateway to OpenAI’s models, but it gains immediate financial relief by eliminating its outbound revenue-share payments while continuing to collect inbound payments for several more years. And it retains approximately 27 percent ownership of OpenAI’s for-profit entity, meaning it participates in the company’s growth regardless of which cloud serves the workloads. Last quarter alone, Microsoft reported $7.5 billion in revenue from its OpenAI investment in a single quarter, according to TechCrunch’s reporting. For OpenAI, the calculus is different. It accepts a continued obligation to pay Microsoft through 2030, but it gains the commercial freedom to sell everywhere — a freedom that is arguably worth far more than the revenue-share savings. Enterprise customers overwhelmingly operate in multi-cloud environments. Being locked into Azure was not just a technical constraint; it was a sales objection that OpenAI’s competitors, particularly Anthropic and Google, exploited relentlessly.

Why the disappearance of the AGI clause signals a new era for AI governance

One of the more philosophically intriguing aspects of Monday’s announcement is what it does to the AGI provision that once governed the partnership. Under the original agreement, Microsoft’s exclusive commercial rights were tied to a trigger: if OpenAI’s board determined that the company had achieved AGI, certain terms — including Microsoft’s access to the most advanced models — would change. The provision was meant to ensure that a truly superintelligent system would remain under the nonprofit board’s control rather than being commercially exploited. In practice, it created perverse incentives: OpenAI had a financial reason to never declare AGI, and Microsoft had a financial reason to argue that AGI had not been reached regardless of what the technology could actually do.

The new deal sidesteps this entirely. Microsoft’s license now runs through a fixed calendar date — 2032 — “independent of OpenAI’s technology progress,” as the companies put it. The AGI trigger, a concept that once sat at the philosophical heart of the partnership, has been replaced by a spreadsheet. Andrew Curran, a close observer of OpenAI’s governance, noted on X that language defining AGI had been removed from OpenAI’s website, sharing a screenshot showing the change. The move drew sharp reactions. One commenter observed that “removing the definition = removing the accountability. whoever controls when AGI is declared controls a lot of commercial terms.”

The shift reflects a broader maturation — or perhaps disillusionment — within the AI industry regarding AGI as a meaningful commercial or governance concept. When the original deal was struck, AGI felt like a distant, almost mythical threshold. Now, with models like GPT-5.5 demonstrating increasingly general capabilities, the term has become more of a marketing slogan than a technical benchmark. Replacing it with fixed dates and dollar caps is, in some sense, an admission that the industry has moved beyond the framework that once defined this partnership.

Multi-cloud AI competition intensifies as enterprises gain the power to choose

The most immediate beneficiary of the new arrangement is the enterprise customer. For years, organizations that wanted access to OpenAI’s models had essentially one option: Azure. That constraint is now gone. Within weeks, according to Jassy, OpenAI’s models will be available on AWS Bedrock alongside the stateful runtime environment that powers long-running AI agents. Google Cloud is presumably not far behind.

This multi-cloud availability arrives at a moment when the AI infrastructure market is undergoing rapid consolidation and expansion simultaneously. Meta recently committed $48 billion to cloud providers CoreWeave and Nebius. Amazon’s investment in OpenAI, combined with its existing relationship with Anthropic — in which Amazon has invested up to $4 billion — positions AWS as a model-agnostic platform where enterprises can mix and match AI capabilities. Microsoft, meanwhile, has developed its own relationship with Anthropic, using Claude to power agentic products — a hedge against the very OpenAI dependency it spent billions creating.

The competitive dynamics are now genuinely complex. Microsoft competes with OpenAI in AI products (Copilot vs. ChatGPT), partners with OpenAI’s rival Anthropic, and remains OpenAI’s largest shareholder. OpenAI sells on Azure, AWS, and soon everywhere else, while building its own data centers. Amazon invests in both OpenAI and Anthropic. Google builds its own models while also hosting competitors on Vertex AI. Jehangeer Hasan, a technology commentator, captured the mood on X, calling the announcement a “notable shift in the cloud AI landscape” that signals “intensifying multi-cloud competition and a push toward giving developers more flexibility instead of locking them into a single ecosystem.” Chris Alexander, an engineer, offered a more candid assessment: “honestly Azure’s OpenAI endpoints are so unreliable, we mostly just hit you all directly,” adding that “it would be nice to have options in AWS or GCP for sure.”

What the restructured deal means for the future of AI’s biggest partnership

Several open questions remain. The precise dollar amount of the revenue-share cap has not been disclosed, and it will matter enormously as OpenAI’s revenue scales. The meaning of “first on Azure” — whether it implies a meaningful exclusivity window or merely simultaneous availability — remains deliberately ambiguous. And OpenAI’s own infrastructure ambitions, including plans to build proprietary data centers, could eventually reduce its dependence on any third-party cloud, including Azure.

Microsoft’s position, while less dominant than before, is not as diminished as some early commentary suggested. It remains OpenAI’s primary cloud provider, its largest shareholder, and a licensee of its technology through the end of the decade. It has diversified its own AI strategy with investments in Anthropic, its own Phi and MAI model families, and deep integration of AI across its product portfolio. The company reported $7.5 billion in OpenAI-related revenue last quarter — a figure that demonstrates the sheer financial scale of the relationship even in its loosened form.

For OpenAI, the new agreement is a coming-of-age moment. The company that once depended on Microsoft for everything — capital, compute, distribution, and credibility — now operates as an independent force capable of striking multi-billion-dollar deals with Microsoft’s biggest rivals. Sam Altman announced the changes on X with characteristic brevity: “We have updated our partnership with Microsoft.”

Seven years ago, when Microsoft CEO Satya Nadella and Altman first shook hands on a deal to commercialize artificial intelligence, the arrangement rested on the assumption that OpenAI needed Microsoft more than Microsoft needed OpenAI. Every clause — the exclusivity, the AGI trigger, the revenue share — reflected that original imbalance. Monday’s restructuring is proof that the assumption no longer holds. The partnership that launched the generative AI revolution has survived, but the power dynamics that created it have not. In the AI industry, it turns out, the only thing that moves faster than the technology is the leverage.

Thanks to the adoption of features like rapid triggers, analog switches and TMR sensors, the tech in fancy gaming keyboards has changed surprisingly quickly in the past few years. So to keep up with the pace of development, Logitech is putting a bunch of advanced components in its latest flagship offering — the G512 X — to create what may be its most configurable keyboard to date.

Available in both 75 and 98 percent layouts, the G512 X is based on a novel design that supports both mechanical and analog switches. Out of the box, every key features PBT keycaps and uses one of Logitech’s MX mechanical switches. However, for important buttons like WASD, users can swap in up to nine bundled Gateron KS-20 magnetic analog switches. This means that when combined with the keyboard’s 39 tunneling magnetoresistance (TMR) switch beds, users can enable support for customizable rapid triggers and multipoint actuation, complete with five bundled second actuation pressure point (SAPP) rings in case you need even more control over every keystroke. The one potential downside is that Logitech only added TMR switch beds to the left side of the keyboard, so if you prefer more unusual keybinds, you won’t have quite as many configuration options.

Meanwhile, to meet the demands of competitive gamers who need lightning-fast response times, Logitech added an 8K polling rate. This includes both 8K reporting and processing to deliver input times of just 0.125 milliseconds. Elsewhere, the G512 X comes with dual dials, a large RGB lightbar and game mode presets — all of which can be tweaked in Logitech’s G Hub app.

However, the coolest thing about the G512 X might be all the handy little details scattered across the keyboard. For example, its adjustable feet serve double duty as keycap and switch pullers, so when you want to adjust your layout, you won’t need to go searching elsewhere for the right tool. On top of that, there is built-in storage for the nine included magnetic analog switches and five SAPP rings, so you’ll always have them on hand if you want to make changes. Finally, while it is an optional accessory, Logitech created a transparent palm rest with a laser-etched surface that will enhance the G512 X’s onboard RGB lighting.

Unfortunately, at $180 for the 75 percent layout or $200 for the 98 percent model, the G512 X is a bit pricey. And unlike some other members of Logitech’s G5 family, there’s no option for a wireless variant. But if you want a keyboard with practically all the latest tech and a ton of customizability (including the ability to select linear, tactile or clicky switches), the G512 X is a very intriguing option for demanding gamers.

The G512 X is available directly from Logitech today, with wider availability slated for May 2.

YouTube Premium subscribers in the US (18 years and older) have something new to play with. As reported by The Verge, the company is testing a conversational AI search experience called Ask YouTube that is unlike anything YouTube has offered before.

So what exactly is Ask YouTube?

Instead of typing keywords into a search bar and hoping for the best, you can now ask YouTube a full question and get a response that feels more like a conversation. You can enable this feature using YouTube’s experimental feature. 

Once you do, you will notice an Ask YouTube button built into the YouTube search bar. When you click the search bar, YouTube surfaces suggested prompts like “What caused the 2008 financial crisis?” or “How to fix a stripped screw.” These might be trending searches or based on your own YouTube history. 

You can either search for these trending search terms or enter your own search term and hit the Ask YouTube button to perform the search. When I searched for “prisoners’ dilemma”, YouTube gave me a text overview followed by a featured video. 

Then there were additional videos under different subheadings, including “step-by-step logic of the dilemma” and “real-world applications,” followed by quick concept overviews using shorts. 

I performed multiple searches and found that the search results are a mix of text summaries, long-form videos timestamped to relevant sections, and galleries of YouTube Shorts organized under themed headers. It is a genuinely different experience from the standard search results page.

Does it actually work?

In my limited testing, the AI search worked really well. Not only did it give me an overview of the topic and relevant videos, but I also liked that it sorted them into different categories, giving me an idea of their content. 

Whether it’s better or worse than the normal YouTube search, I cannot comment. I will need to use it for longer to make any such assessment.

Scientists in Switzerland have developed a prototype camera capable of capturing clear three-dimensional images of neutrinos, particles so elusive they often earn the label ghost particles. Neutrinos come in huge numbers from the sun and other sources throughout space, yet they interact so rarely with ordinary matter that trillions pass through a person every second without any effect

For years, detecting them needed large subterranean containers filled with specific liquids or massive arrays of sensors buried deep in the ground to capture the exceedingly rare occasions when one collides with an atom. That works, but it’s a bit pricey and doesn’t allow scientists to track the particles’ travels very well. However, a team of researchers from ETH Zurich and EPFL has recently developed a new device called PLATON, which is a far easier way of doing things.

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The idea is to use a solid block of a special material called a scintillator, which emits tiny flashes of light whenever a particle passes through it, and to that block is attached a specially designed camera with a grid of tiny lenses and a sensor that can pick up individual photons of light, as well as the exact time they hit it.

When a neutrino interacts with the block, it produces a brief burst of energy that is converted into light, and the camera captures the pattern of light flashes from a variety of angles at the same time. The data is then processed by some sophisticated software, which uses timing information and complex pattern recognition to create a comprehensive 3D representation of the particle’s route. Previous detectors would slice the scintillator into thousands of small bits and connect them with fibers to determine where the particles were, but this made them all large, expensive, and completely unworkable. PLATON does all of the heavy lifting with the camera.

In laboratory experiments, the new device performed admirably, reconstructing tracks from electrons emitted by a known radioactive source. Simulations based on genuine neutrino interactions indicated that it could pinpoint sites with an accuracy of roughly a fifth of a millimeter. According to team member Davide Sgalaberna, this simplifies the process of creating particle detectors while also providing a high level of 3D precision.

This technology opens a host of new possibilities for future studies that will enable researchers to investigate neutrinos more efficiently, and it could be valuable in a variety of other areas as well. Medical imaging is another area where accurate readings inside materials are critical. Of course, there is still a lot of work to be done before it can be scaled up to the size required for large science projects, but for now, this prototype looks promising. As technology advances and becomes more accessible, it has the potential to reveal a great deal more about these fundamental particles and how they help form the cosmos.
[Source]