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remembering-what-windows-10-did-right—and-how-it-made-modern-windows-more-annoying

Remembering what Windows 10 did right—and how it made modern Windows more annoying


Remembering Windows 10’s rollout can help diagnose what ails Windows 11.

If you’ve been following our coverage for the last few years, you’ll already know that 2025 is the year that Windows 10 died. Technically.

“Died,” because Microsoft’s formal end-of-support date came and went on October 14, as the company had been saying for years. “Technically,” because it’s trivial for home users to get another free year of security updates with a few minutes of effort, and schools and businesses can get an additional two years of updates on top of that, and because load-bearing system apps like Edge and Windows Defender will keep getting updates through at least 2028 regardless.

But 2025 was undoubtedly a tipping point for the so-called “last version of Windows.” StatCounter data says Windows 11 has overtaken Windows 10 as the most-used version of Windows both in the US (February 2025) and worldwide (July 2025). Its market share slid from just over 44 percent to just under 31 percent in the Steam Hardware Survey. And now that Microsoft’s support for the OS has formally ended, games, apps, and drivers are already beginning the gradual process of ending or scaling back official Windows 10 support.

Windows 10 is generally thought of as one of the “good” versions of Windows, and it was extremely popular in its heyday: the most widely used version of Windows since XP. That’s true even though many of the annoying things that people complain about in Windows 11 started during the Windows 10 era. Now that it’s time to write Windows 10’s epitaph, it’s worth examining what Microsoft got right with Windows 10, how it laid the groundwork for many of the things people dislike about Windows 11, and how Microsoft has made all of those problems worse in the years since Windows 11 first launched.

Windows 10 did a lot of things right

The Start menu in the first release of Windows 10. Windows 10 got a lot of credit for not being Windows 8 and for rolling back its most visible and polarizing changes.

Like Windows 7, Windows 10’s primary job was to not be its predecessor. Windows 8 brought plenty of solid under-the-hood improvements over Windows 7, but it came with a polarizing full-screen Start menu and a touchscreen-centric user interface that was an awkward fit for traditional desktops and laptops.

And the biggest thing it did to differentiate itself from Windows 8 was restore a version of the traditional Start menu, altered from its Windows XP or Windows 7-era iterations but familiar enough not to put people off.

Windows 10 also adopted a bunch of other things that people seemed to like about their smartphones—it initially rolled out as a free upgrade to anyone already running Windows 7 or Windows 8, and it ran on virtually all the same hardware as those older versions. It was updated on a continuous, predictable cadence that allowed Microsoft to add features more quickly. Microsoft even expanded its public beta program, giving enthusiasts and developers an opportunity to see what was coming and provide feedback before new features were rolled out to everybody.

Windows 10 also hit during a time of change at Microsoft. Current CEO Satya Nadella was just taking over from Steve Ballmer, and as part of that pivot, the company was also doing things like making its Office apps work on iOS and Android and abandoning its struggling, proprietary browser engine for Edge. Nadella’s Microsoft wanted you to be using Microsoft products (and ideally paying for a subscription to do so), but it seemed more willing to meet people where they were rather than forcing them to change their behavior.

That shift continued to benefit users throughout the first few years of Windows 10’s life. Developers benefited from the introduction and continuous improvement of the Windows Subsystem for Linux, a way to run Linux and many of its apps and tools directly on top of Windows. Microsoft eventually threw out its struggling in-house browser engine for a new version of the Edge browser built on Chromium—we can debate whether Chromium’s supremacy is a good thing for an open, standard-compliant Internet, but switching to a more compatible rendering engine and an established extension ecosystem was absolutely the more user-friendly choice. Both projects also signaled Microsoft’s growing engagement with and contributions to open-source projects, something that would have been hard to imagine during the company’s closed-off ’90s and ’00s.

Windows 10 wasn’t perfect; these examples of what it did right are cherry-picked. But part of the operating system’s reputation comes from the fact that it was originally developed as a response to real complaints and rolled out in a way that tried to make its changes and improvements as widely accessible as possible.

But Windows 10 laid the groundwork for Windows 11’s problems

Windows 10 asked you to sign in with a Microsoft account, but for most of the operating system’s life, it was easy to skip this using visible buttons in the UI. Windows 10 began locking this down in later versions; that has continued in Windows 11, but it didn’t originate there. Credit: BTNHD

As many things as Windows 10 did relatively well, most of the things people claim to find objectionable about Windows 11 actually started happening during the Windows 10 era.

Right out of the gate, for example, Windows 10 wanted to collect more information about how people were using the operating system—ostensibly in the name of either helping Microsoft improve the OS or helping “personalize” its ads and recommendations. And the transition to the “software-as-a-service” approach helped Windows move faster but also broke things, over and over again—these kinds of bugs have persisted on and off into the Windows 11 era despite Microsoft’s public beta programs.

Windows 10 could also get pushy about other Microsoft products. Multiple technologies, like the original Edge and Cortana, were introduced, pushed on users, and failed. The annoying news and weather widget on the taskbar was a late addition to Windows 10; advertisements and news articles could clutter up its lock screen. Icons for third-party apps from the Microsoft Store, many of them low-rent, ad-supported time-waster games, were added to the Start menu without user consent. Some users of older Windows versions even objected to the way that the free Windows 10 upgrade was offered—the install files would download themselves automatically, and it could be difficult to make the notifications go away.

Even the mandatory Microsoft Account sign-in, one of the most frequently complained-about aspects of Windows 11, was a Windows 10 innovation—it was easier to circumvent than it is now, and it was just for the Home edition of the software, but in retrospect, it was clearly a step down the road that Windows 11 is currently traveling.

Windows 11 did make things worse, though

But many of Windows 11’s annoyances are new ones. And the big problem is that these annoyances have been stacked on top of the annoying things that Windows 10 was already doing, gradually accumulating to make the new PC setup process go from “lightly” to “supremely” irritating.

The Microsoft Account sign-in requirement is ground zero for a lot of this since signing in with an account unlocks a litany of extra ads for Microsoft 365, Game Pass, and other services you may or may not need or want. Connecting to the Internet and signing in became a requirement for new installations of both the Home and the Pro versions of Windows 11 starting with version 22H2, and while workarounds existed then and continue to exist now, you have to know about them beforehand or look them up yourself—the OS doesn’t offer you an option to skip. Microsoft will also apparently be closing some of these loopholes in future updates, making circumvention even more difficult.

And if getting through those screens when setting up a new PC wasn’t annoying enough, Windows 11 will regularly remind you about other Microsoft services again through its Second Chance Out-Of-Box Experience screen, or SCOOBE. This on-by-default “feature” has offered to help me “finish setting up” Windows 11 installations that are years old and quite thoroughly set up. It can be turned off via a buried checkbox in the Notifications settings, but removing it or making it simpler to permanently dismiss from the SCOOBE screen itself would be the more user-friendly change, especially since Microsoft already bombards users with “helpful reminders” about many of these same services via system notifications.

Microsoft’s all-consuming pivot to generative AI also deserves blame. Microsoft’s Copilot push hasn’t stopped with the built-in app that gets a position of honor on the default taskbar—an app whose appearance and functionality have completely changed multiple times in the last couple of years as Microsoft has updated it. Microsoft changed the default Windows PC keyboard layout for the first time in 30 years to accommodate Copilot, and Copilot-branded features have landed in every Windows app from Word to Paint to Edge to Notepad. Sometimes these features can be uninstalled or turned off; sometimes they can’t.

It’s not just that Microsoft is squeezing generative AI into every possible nook and cranny in Windows; it’s that there seems to be no feature too intrusive or risky to make the cutoff. Microsoft nearly rolled out a catastrophically insecure version of Recall, a feature for some newer PCs that takes screenshots of your activity and records it for later reference; Microsoft gave its security an overhaul after a massive outcry from users, media, and security researchers, but Recall still rolled out.

The so-called “agentic” AI features that Microsoft is currently testing in Windows come with their own documented security and privacy risks, but their inclusion in Windows is essentially a foregone conclusion because Microsoft executives are constantly talking about the need to develop an “agentic OS.” There’s a fine line between introducing new software features and forcing people to use them, and I find that Microsoft’s pushiness around Windows 11’s AI additions falls on the wrong side of that line for me pretty much every single time.

Finally, while Windows 10 ran on anything that could run Windows 7 or 8, Windows 11 came with new system requirements that excluded many existing, functional PCs. The operating system can be installed unofficially on PCs that are several years older than the official cutoff, but only if you’re comfortable with the risks and you know how to get around the system requirements check.

Using people’s PCs as billboards to sell them new PCs feels tacky at best. Credit: Kyle Orland

I find the heightened requirements—implemented to improve security, according to Microsoft—to be more or less defensible. TPM modules enable seamless disk encryption, Secure Boot protects from threats that are otherwise invisible and hard to detect, and CPU makers like Intel and AMD only commit to supporting older processors with firmware-level security patches for so long, which is important in the era of hardware-level security exploits.

But the requirements don’t feel like something Microsoft has imposed to protect users from threats; they feel like something Microsoft is doing in order to upsell you to a new PC. Microsoft creates that impression when it shows Windows 10 users full-screen ads for new Copilot+ PCs, even when their systems are capable of upgrading to the new operating system directly. People are already primed to believe in “planned obsolescence,” the idea that the things they buy are designed to slow down or fail just in time to force them to buy new things; pushing people to throw out functioning PCs with full-screen ads does nothing to dispel this notion.

Windows 11 could still be great

I still believe that Windows 11 has good bones. Install the Enterprise version of the operating system and you’ll get a version with much less extra cruft on top of it, a version made to avoid alienating the businesses that pay good money to install Windows across large fleets of PCs. Microsoft has made huge strides in getting its operating system to run on Arm-based PCs. The Windows Subsystem for Linux is better than it’s ever been. I’m intrigued by the company’s efforts to make Windows a better operating system for gaming handhelds, Microsoft’s belated answer to Valve’s Steam Deck and SteamOS.

But as someone with firsthand experience of every era of Windows from 3.1 onward, I can say I’ve never felt as frustrated with the operating system as I have during Windows 11’s Copilot era. The operating system can be tamed with effort. But the taming has become an integral part of the new PC setup process for me, just as essential as creating the USB installer and downloading drivers and third-party apps. It’s something my PC needs to have done to it before it feels ready to use.

Windows 10 was far from perfect. But as we mark the first stage of its multi-year passing, it’s worth remembering what it did well and why people were willing to install it in droves. I’d like to see Microsoft recommit to a quieter, cleaner version of Windows that is more willing to get out of the way and just let people use their computers the way they want, the same way the company has tried to recommit to security following a string of embarrassing breaches. I don’t have much hope that this will happen, but some genuine effort could go a long way toward convincing Windows 10-using holdouts that the new OS actually isn’t all that bad.

Photo of Andrew Cunningham

Andrew is a Senior Technology Reporter at Ars Technica, with a focus on consumer tech including computer hardware and in-depth reviews of operating systems like Windows and macOS. Andrew lives in Philadelphia and co-hosts a weekly book podcast called Overdue.

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LG TVs’ unremovable Copilot shortcut is the least of smart TVs’ AI problems

But Copilot will still be integrated into Tizen OS, and Samsung appears eager to push chatbots into TVs, including by launching Perplexity’s first TV app. Amazon, which released Fire TVs with Alexa+ this year, is also exploring putting chatbots into TVs.

After the backlash LG faced this week, companies may reconsider installing AI apps on people’s smart TVs. A better use of large language models in TVs may be as behind-the-scenes tools to improve TV watching. People generally don’t buy smart TVs to make it easier to access chatbots.

But this development is still troubling for anyone who doesn’t want an AI chatbot in their TV at all.

Some people don’t want chatbots in their TVs

Subtle integrations of generative AI that make it easier for people to do things like figure out the name of “that movie” may have practical use, but there are reasons to be wary of chatbot-wielding TVs.

Chatbots add another layer of complexity to understanding how a TV tracks user activity. With a chatbot involved, smart TV owners will be subject to complicated smart TV privacy policies and terms of service, as well as the similarly verbose rules of third-party AI companies. This will make it harder for people to understand what data they’re sharing with companies, and there’s already serious concern about the boundaries smart TVs are pushing to track users, including without consent.

Chatbots can also contribute to smart TV bloatware. Unwanted fluff, like games, shopping shortcuts, and flashy ads, already disrupts people who just want to watch TV.

LG’s Copilot web app is worthy of some grousing, but not necessarily because of the icon that users will eventually be able to delete. The more pressing issue is the TV industry’s shift toward monetizing software with user tracking and ads.

If you haven’t already, now is a good time to check out our guide to breaking free from smart TV ads and tracking.

LG TVs’ unremovable Copilot shortcut is the least of smart TVs’ AI problems Read More »

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Senators count the shady ways data centers pass energy costs on to Americans


Senators demand Big Tech pay upfront for data center spikes in electricity bills.

Senators launched a probe Tuesday demanding that tech companies explain exactly how they plan to prevent data center projects from increasing electricity bills in communities where prices are already skyrocketing.

In letters to seven AI firms, Senators Elizabeth Warren (D-Mass.), Chris Van Hollen (D-Md.), and Richard Blumenthal (D-Conn.) cited a study estimating that “electricity prices have increased by as much as 267 percent in the past five years” in “areas located near significant data center activity.”

Prices increase, senators noted, when utility companies build out extra infrastructure to meet data centers’ energy demands—which can amount to one customer suddenly consuming as much power as an entire city. They also increase when demand for local power outweighs supply. In some cases, residents are blindsided by higher bills, not even realizing a data center project was approved, because tech companies seem intent on dodging backlash and frequently do not allow terms of deals to be publicly disclosed.

AI firms “ask public officials to sign non-disclosure agreements (NDAs) preventing them from sharing information with their constituents, operate through what appear to be shell companies to mask the real owner of the data center, and require that landowners sign NDAs as part of the land sale while telling them only that a ‘Fortune 100 company’ is planning an ‘industrial development’ seemingly in an attempt to hide the very existence of the data center,” senators wrote.

States like Virginia with the highest concentration of data centers could see average electricity prices increase by another 25 percent by 2030, senators noted. But price increases aren’t limited to the states allegedly striking shady deals with tech companies and greenlighting data center projects, they said. “Interconnected and interstate power grids can lead to a data center built in one state raising costs for residents of a neighboring state,” senators reported.

Under fire for supposedly only pretending to care about keeping neighbors’ costs low were Amazon, Google, Meta, Microsoft, Equinix, Digital Realty, and CoreWeave. Senators accused firms of paying “lip service,” claiming that they would do everything in their power to avoid increasing residential electricity costs, while actively lobbying to pass billions in costs on to their neighbors.

For example, Amazon publicly claimed it would “make sure” it would cover costs so they wouldn’t be passed on. But it’s also a member of an industry lobbying group, the Data Center Coalition, that “has opposed state regulatory decisions requiring data center companies to pay a higher percentage of costs upfront,” senators wrote. And Google made similar statements, despite having an executive who opposed a regulatory solution that would set data centers into their own “rate class”—and therefore responsible for grid improvement costs that could not be passed on to other customers—on the grounds that it was supposedly “discriminatory.”

“The current, socialized model of electricity ratepaying,” senators explained—where costs are shared across all users—”was not designed for an era where just one customer requires the same amount of electricity as some of the largest cities in America.”

Particularly problematic, senators emphasized, were reports that tech firms were getting discounts on energy costs as utility companies competed for their business, while prices went up for their neighbors.

Ars contacted all firms targeted by lawmakers. Four did not respond. Microsoft and Meta declined to comment. Digital Realty told Ars that it “looks forward to working with all elected officials to continue to invest in the digital infrastructure required to support America’s leadership in technology, which underpins modern life and creates high-paying jobs.”

Regulatory pressure likely to increase as bills go up

Senators are likely exploring whether to pass legislation that would help combat price increases that they say cause average Americans to struggle to keep the lights on. They’ve asked tech companies to respond to their biggest questions about data center projects by January 12, 2026.

Among their top questions, senators wanted to know about firms’ internal projections looking forward with data center projects. That includes sharing their projected energy use through 2030, as well as the “impact of your AI data centers on regional utility costs.” Companies are also expected to explain how “internal projections of data center energy consumption” justify any “opposition to the creation of a distinct data center rate class.”

Additionally, senators asked firms to outline steps they’ve taken to prevent passing on costs to neighbors and details of any impact studies companies have conducted.

Likely to raise the most eyebrows, however, would be answers to questions about “tax deductions or other financial incentives” tech firms have received from city and state governments. Those numbers would be interesting to compare with other information senators demanded that companies share, detailing how much they’ve spent on lobbying and advocacy for data centers. Senators appear keen to know how much tech companies are paying to avoid covering a proportionate amount of infrastructure costs.

“To protect consumers, data centers must pay a greater share of the costs upfront for future energy usage and updates to the electrical grid provided specifically to accommodate data centers’ energy needs,” senators wrote.

Requiring upfront payment is especially critical, senators noted, since some tech firms have abandoned data center projects, leaving local customers to bear the costs of infrastructure changes without utility companies ever generating any revenue. Communities must also consider that AI firms’ projected energy demand could severely dip if enterprise demand for AI falls short of expectations, AI capabilities “plateau” and trigger widespread indifference, AI companies shift strategies “away from scaling computer power,” or chip companies “find innovative ways to make AI more energy-efficient.”

“If data centers end up providing less business to the utility companies than anticipated, consumers could be left with massive electricity bills as utility companies recoup billions in new infrastructure costs, with nothing to show for it,” senators wrote.

Already, Utah, Oregon, and Ohio have passed laws “creating a separate class of utility customer for data centers which includes basic financial safeguards such as upfront payments and longer contract length,” senators noted, and Virginia is notably weighing a similar law.

At least one study, The New York Times noted, suggested that data centers may have recently helped reduce electricity costs by spreading the costs of upgrades over more customers, but those outcomes varied by state and could not account for future AI demand.

“It remains unclear whether broader, sustained load growth will increase long-run average costs and prices,” Lawrence Berkeley National Laboratory researchers concluded. “In some cases, spikes in load growth can result in significant, near-term retail price increase.”

Until companies prove they’re paying their fair share, senators expect electricity bills to keep climbing, particularly in vulnerable areas. That will likely only increase pressure for regulators to intervene, the director of the Electricity Law Initiative at the Harvard Law School Environmental and Energy Law Program, Ari Peskoe, suggested in September.

“The utility business model is all about spreading costs of system expansion to everyone, because we all benefit from a reliable, robust electricity system,” Peskoe said. “But when it’s a single consumer that is using so much energy—basically that of an entire city—and when that new city happens to be owned by the wealthiest corporations in the world, I think it’s time to look at the fundamental assumptions of utility regulation and make sure that these facilities are really paying for all of the infrastructure costs to connect them to the system and to power them.”

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

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Microsoft takes down mod that re-created Halo 3 in Counter-Strike 2

Last month saw the release of Project Misriah, an ambitious modding project that tried to re-create the feel of Halo 3 inside Valve’s Counter-Strike 2. That project has now been taken down from the Steam Workshop, though, after drawing a Digital Millennium Copyright Act complaint from Microsoft.

Modder Froddoyo introduced Project Misriah on November 16 as “a workshop collection of Halo ported maps and assets that aims to bring a Halo 3 multiplayer-like experience to Counter-Strike 2.” Far from just being inspired by Halo 3, the mod directly copied multiple sound effects, character models, maps, and even movement mechanics from Bungie and Microsoft’s popular series.

In the weeks since, Project Misriah has drawn a lot of praise from both Halo fans and those impressed by what modders could pull off with the Source 2 engine. But last Wednesday, modder Froddoyo shared a DMCA request from Microsoft citing the “unauthorized use of Halo game content in a [Steam] workshop not associated with Halo games.”

A trailer announcing Project Misriah, posted last month.

In a social media post sharing that DMCA text, Froddoyo ruefully said that players should “make sure to give your thanks to Microsoft” for the project’s fate. But in a comment on Project Misriah’s YouTube trailer, Froddoyo noted that, following the takedown, the project “will not be worked on or uploaded in the future. But hey, it was fun while it lasted. Thank you to all of the players and supporters of [the] project. We will use the knowledge and skills obtained from this to cook up something else!”

Microsoft takes down mod that re-created Halo 3 in Counter-Strike 2 Read More »

microsoft-drops-ai-sales-targets-in-half-after-salespeople-miss-their-quotas

Microsoft drops AI sales targets in half after salespeople miss their quotas

Microsoft has lowered sales growth targets for its AI agent products after many salespeople missed their quotas in the fiscal year ending in June, according to a report Wednesday from The Information. The adjustment is reportedly unusual for Microsoft, and it comes after the company missed a number of ambitious sales goals for its AI offerings.

AI agents are specialized implementations of AI language models designed to perform multistep tasks autonomously rather than simply responding to single prompts. So-called “agentic” features have been central to Microsoft’s 2025 sales pitch: At its Build conference in May, the company declared that it has entered “the era of AI agents.”

The company has promised customers that agents could automate complex tasks, such as generating dashboards from sales data or writing customer reports. At its Ignite conference in November, Microsoft announced new features like Word, Excel, and PowerPoint agents in Microsoft 365 Copilot, along with tools for building and deploying agents through Azure AI Foundry and Copilot Studio. But as the year draws to a close, that promise has proven harder to deliver than the company expected.

According to The Information, one US Azure sales unit set quotas for salespeople to increase customer spending on a product called Foundry, which helps customers develop AI applications, by 50 percent. Less than a fifth of salespeople in that unit met their Foundry sales growth targets. In July, Microsoft lowered those targets to roughly 25 percent growth for the current fiscal year. In another US Azure unit, most salespeople failed to meet an earlier quota to double Foundry sales, and Microsoft cut their quotas to 50 percent for the current fiscal year.

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Even Microsoft’s retro holiday sweaters are having Copilot forced upon them

I can take or leave some of the things that Microsoft is doing with Windows 11 these days, but I do usually enjoy the company’s yearly limited-time holiday sweater releases. Usually crafted around a specific image or product from the company’s ’90s-and-early-2000s heyday—2022’s sweater was Clippy themed, and 2023’s was just the Windows XP Bliss wallpaper in sweater form—the sweaters usually hit the exact combination of dorky/cute/recognizable that makes for a good holiday party conversation starter.

Microsoft is reviving the tradition for 2025 after taking a year off, and the design for this year’s flagship $80 sweater is mostly in line with what the company has done in past years. The 2025 “Artifact Holiday Sweater” revives multiple pixelated icons that Windows 3.1-to-XP users will recognize, including Notepad, Reversi, Paint, MS-DOS, Internet Explorer, and even the MSN butterfly logo. Clippy is, once again, front and center, looking happy to be included.

Not all of the icons are from Microsoft’s past; a sunglasses-wearing emoji, a “50” in the style of the old flying Windows icon (for Microsoft’s 50th anniversary), and a Minecraft Creeper face all nod to the company’s more modern products. But the only one I really take issue with is on the right sleeve, where Microsoft has stuck a pixelated monochrome icon for its Copilot AI assistant.

Even Microsoft’s retro holiday sweaters are having Copilot forced upon them Read More »

microsoft-makes-zork-i,-ii,-and-iii-open-source-under-mit-license

Microsoft makes Zork I, II, and III open source under MIT License

Zork, the classic text-based adventure game of incalculable influence, has been made available under the MIT License, along with the sequels Zork II and Zork III.

The move to take these Zork games open source comes as the result of the shared work of the Xbox and Activision teams along with Microsoft’s Open Source Programs Office (OSPO). Parent company Microsoft owns the intellectual property for the franchise.

Only the code itself has been made open source. Ancillary items like commercial packaging and marketing assets and materials remain proprietary, as do related trademarks and brands.

“Rather than creating new repositories, we’re contributing directly to history. In collaboration with Jason Scott, the well-known digital archivist of Internet Archive fame, we have officially submitted upstream pull requests to the historical source repositories of Zork I, Zork II, and Zork III. Those pull requests add a clear MIT LICENSE and formally document the open-source grant,” says the announcement co-written by Stacy Haffner (director of the OSPO at Microsoft) and Scott Hanselman (VP of Developer Community at the company).

Microsoft gained control of the Zork IP when it acquired Activision in 2022; Activision had come to own it when it acquired original publisher Infocom in the late ’80s. There was an attempt to sell Zork publishing rights directly to Microsoft even earlier in the ’80s, as founder Bill Gates was a big Zork fan, but it fell through, so it’s funny that it eventually ended up in the same place.

To be clear, this is not the first time the original Zork source code has been available to the general public. Scott uploaded it to GitHub in 2019, but the license situation was unresolved, and Activision or Microsoft could have issued a takedown request had they wished to.

Now that’s obviously not at risk of happening anymore.

Microsoft makes Zork I, II, and III open source under MIT License Read More »

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Microsoft tries to head off the “novel security risks” of Windows 11 AI agents

Microsoft has been adding AI features to Windows 11 for years, but things have recently entered a new phase, with both generative and so-called “agentic” AI features working their way deeper into the bedrock of the operating system. A new build of Windows 11 released to Windows Insider Program testers yesterday includes a new “experimental agentic features” toggle in the Settings to support a feature called Copilot Actions, and Microsoft has published a detailed support article detailing more about just how those “experimental agentic features” will work.

If you’re not familiar, “agentic” is a buzzword that Microsoft has used repeatedly to describe its future ambitions for Windows 11—in plainer language, these agents are meant to accomplish assigned tasks in the background, allowing the user’s attention to be turned elsewhere. Microsoft says it wants agents to be capable of “everyday tasks like organizing files, scheduling meetings, or sending emails,” and that Copilot Actions should give you “an active digital collaborator that can carry out complex tasks for you to enhance efficiency and productivity.”

But like other kinds of AI, these agents can be prone to error and confabulations and will often proceed as if they know what they’re doing even when they don’t. They also present, in Microsoft’s own words, “novel security risks,” mostly related to what can happen if an attacker is able to give instructions to one of these agents. As a result, Microsoft’s implementation walks a tightrope between giving these agents access to your files and cordoning them off from the rest of the system.

Possible risks and attempted fixes

For now, these “experimental agentic features” are optional, only available in early test builds of Windows 11, and off by default. Credit: Microsoft

For example, AI agents running on a PC will be given their own user accounts separate from your personal account, ensuring that they don’t have permission to change everything on the system and giving them their own “desktop” to work with that won’t interfere with what you’re working with on your screen. Users need to approve requests for their data, and “all actions of an agent are observable and distinguishable from those taken by a user.” Microsoft also says agents need to be able to produce logs of their activities and “should provide a means to supervise their activities,” including showing users a list of actions they’ll take to accomplish a multi-step task.

Microsoft tries to head off the “novel security risks” of Windows 11 AI agents Read More »

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OpenAI signs massive AI compute deal with Amazon

On Monday, OpenAI announced it has signed a seven-year, $38 billion deal to buy cloud services from Amazon Web Services to power products like ChatGPT and Sora. It’s the company’s first big computing deal after a fundamental restructuring last week that gave OpenAI more operational and financial freedom from Microsoft.

The agreement gives OpenAI access to hundreds of thousands of Nvidia graphics processors to train and run its AI models. “Scaling frontier AI requires massive, reliable compute,” OpenAI CEO Sam Altman said in a statement. “Our partnership with AWS strengthens the broad compute ecosystem that will power this next era and bring advanced AI to everyone.”

OpenAI will reportedly use Amazon Web Services immediately, with all planned capacity set to come online by the end of 2026 and room to expand further in 2027 and beyond. Amazon plans to roll out hundreds of thousands of chips, including Nvidia’s GB200 and GB300 AI accelerators, in data clusters built to power ChatGPT’s responses, generate AI videos, and train OpenAI’s next wave of models.

Wall Street apparently liked the deal, because Amazon shares hit an all-time high on Monday morning. Meanwhile, shares for long-time OpenAI investor and partner Microsoft briefly dipped following the announcement.

Massive AI compute requirements

It’s no secret that running generative AI models for hundreds of millions of people currently requires a lot of computing power. Amid chip shortages over the past few years, finding sources of that computing muscle has been tricky. OpenAI is reportedly working on its own GPU hardware to help alleviate the strain.

But for now, the company needs to find new sources of Nvidia chips, which accelerate AI computations. Altman has previously said that the company plans to spend $1.4 trillion to develop 30 gigawatts of computing resources, an amount that is enough to roughly power 25 million US homes, according to Reuters.

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nvidia-hits-record-$5-trillion-mark-as-ceo-dismisses-ai-bubble-concerns

Nvidia hits record $5 trillion mark as CEO dismisses AI bubble concerns

Partnerships and government contracts fuel optimism

At the GTC conference on Tuesday, Nvidia’s CEO went out of his way to repeatedly praise Donald Trump and his policies for accelerating domestic tech investment while warning that excluding China from Nvidia’s ecosystem could limit US access to half the world’s AI developers. The overall event stressed Nvidia’s role as an American company, with Huang even nodding to Trump’s signature slogan in his sign-off by thanking the audience for “making America great again.”

Trump’s cooperation is paramount for Nvidia because US export controls have effectively blocked Nvidia’s AI chips from China, costing the company billions of dollars in revenue. Bob O’Donnell of TECHnalysis Research told Reuters that “Nvidia clearly brought their story to DC to both educate and gain favor with the US government. They managed to hit most of the hottest and most influential topics in tech.”

Beyond the political messaging, Huang announced a series of partnerships and deals that apparently helped ease investor concerns about Nvidia’s future. The company announced collaborations with Uber Technologies, Palantir Technologies, and CrowdStrike Holdings, among others. Nvidia also revealed a $1 billion investment in Nokia to support the telecommunications company’s shift toward AI and 6G networking.

The agreement with Uber will power a fleet of 100,000 self-driving vehicles with Nvidia technology, with automaker Stellantis among the first to deliver the robotaxis. Palantir will pair Nvidia’s technology with its Ontology platform to use AI techniques for logistics insights, with Lowe’s as an early adopter. Eli Lilly plans to build what Nvidia described as the most powerful supercomputer owned and operated by a pharmaceutical company, relying on more than 1,000 Blackwell AI accelerator chips.

The $5 trillion valuation surpasses the total cryptocurrency market value and equals roughly half the size of the pan European Stoxx 600 equities index, Reuters notes. At current prices, Huang’s stake in Nvidia would be worth about $179.2 billion, making him the world’s eighth-richest person.

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Expert panel will determine AGI arrival in new Microsoft-OpenAI agreement

In May, OpenAI abandoned its plan to fully convert to a for-profit company after pressure from regulators and critics. The company instead shifted to a modified approach where the nonprofit board would retain control while converting its for-profit subsidiary into a public benefit corporation (PBC).

What changed in the agreement

The revised deal extends Microsoft’s intellectual property rights through 2032 and now includes models developed after AGI is declared. Microsoft holds IP rights to OpenAI’s model weights, architecture, inference code, and fine-tuning code until the expert panel confirms AGI or through 2030, whichever comes first. The new agreement also codifies that OpenAI can formally release open-weight models (like gpt-oss) that meet requisite capability criteria.

However, Microsoft’s rights to OpenAI’s research methods, defined as confidential techniques used in model development, will expire at those same thresholds. The agreement explicitly excludes Microsoft from having rights to OpenAI’s consumer hardware products.

The deal allows OpenAI to develop some products jointly with third parties. API products built with other companies must run exclusively on Azure, but non-API products can operate on any cloud provider. This gives OpenAI more flexibility to partner with other technology companies while keeping Microsoft as its primary infrastructure provider.

Under the agreement, Microsoft can now pursue AGI development alone or with partners other than OpenAI. If Microsoft uses OpenAI’s intellectual property to build AGI before the expert panel makes a declaration, those models must exceed compute thresholds that are larger than what current leading AI models require for training.

The revenue-sharing arrangement between the companies will continue until the expert panel verifies that AGI has been reached, though payments will extend over a longer period. OpenAI has committed to purchasing $250 billion in Azure services, and Microsoft no longer holds a right of first refusal to serve as OpenAI’s compute provider. This lets OpenAI shop around for cloud infrastructure if it chooses, though the massive Azure commitment suggests it will remain the primary provider.

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Microsoft’s Mico heightens the risks of parasocial LLM relationships

While mass media like radio, movies, and television can all feed into parasocial relationships, the Internet and smartphone revolutions have supercharged the opportunities we all have to feel like an online stranger is a close, personal confidante. From YouTube and podcast personalities to Instagram influencers or even your favorite blogger/journalist (hi), it’s easy to feel like you have a close connection with the people who create the content you see online every day.

After spending hours watching this TikTok personality, I trust her implicitly to sell me a purse.

Credit: Getty Images

After spending hours watching this TikTok personality, I trust her implicitly to sell me a purse. Credit: Getty Images

Viewing all this content on a smartphone can flatten all these media and real-life personalities into a kind of undifferentiated media sludge. It can be all too easy to slot an audio message from your romantic partner into the same mental box as a stranger chatting about video games in a podcast. “When my phone does little mating calls of pings and buzzes, it could bring me updates from people I love, or show me alerts I never asked for from corporations hungry for my attention,” Julie Beck writes in an excellent Atlantic article about this phenomenon. “Picking my loved ones out of the never-ending stream of stuff on my phone requires extra effort.”

This is the world Mico seems to be trying to slide into, turning Copilot into another not-quite-real relationship mediated through your mobile device. But unlike the Instagram model who never seems to acknowledge your comments, Mico is always there to respond with a friendly smile and a warm, soothing voice.

AI that “earns your trust”

Text-based AI interfaces are already frighteningly good at faking human personality in a way that encourages this kind of parasocial relationship, sometimes with disastrous results. But adding a friendly, Pixar-like face to Copilot’s voice mode may make it much easier to be sucked into feeling like Copilot isn’t just a neural network but a real, caring personality—one you might even start thinking of the same way you’d think of the real loved ones in your life.

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