Microsoft Copilot will soon support Grok models from xAI. Word, Excel, and PowerPoint users in the Microsoft Frontier Program can test Grok models now, with general support expected to roll out in the future.

Grok models are being added to Microsoft's Online Services Subprocessor list. By offering different models as subprocessors, Microsoft can give customers access to those models without people having to switch away from the overall Copilot experience.

For example, Researcher Agent in Microsoft Copilot works with Claude AI models from Anthropic. Other Copilot experiences may use multiple AI models to complete tasks.

"Our multi-model strategy gives customers access to leading AI models while maintaining the trusted Copilot experience," said Microsoft in a Tech Community post.

For different models to appear as options, admins need to enable them through the settings of their respective organization.

During the testing period, Grok models will not be available in the European Union, European Free Trade Association, or the United Kingdom.

What is a subprocessor?

Subprocessors are third-party providers that help Microsoft deliver online services. Microsoft has an expansive list of subprocessors used for everything from powering data centers to completing tasks in Copilot.

Using Grok as a subprocessor helps Copilot tackle different tasks and provides redundancy that protects against outages or issues with other subprocessors. But users should not expect the witty or irreverent tone and style that Grok has become known for on X.

Subprocessors sit under Microsoft's system prompts and enterprise guardrails, so the generated responses will still be professional. Essentially, you get the benefit of Grok's multi-step logic and mathematical prowess but within Copilot.

Once an admin enables the integration, you can set Copilot in apps like Word, Excel, and PowerPoint to automatically pick the best model for a task, or manually pick between GPT, Claude, or Grok directly from a drop-down menu in the interface.

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Google Gemini now competes with Microsoft Copilot for space on your keyboard. Google just released Gemini for Windows, and that app uses the same keyboard shortcut as Copilot (Alt + Space).

That shortcut is popular and those hoping to use Gemini may have to remap some shortcuts to perform other tasks. In addition to summoning Copilot, Alt + Space opens PowerToys Run.

The Gemini app is available for both Windows 11 and Windows 10. You can download it through Google's website.

The general functionality of the Gemini app is similar to Gemini's web experience. One key difference is that you can summon the AI tool with a keyboard shortcut, which allows you to launch it quickly.

The macOS version of Gemini supports sharing your screen and other native capabilities, such as dictating by pressing both Command keys. Google explains that more native features will ship to the Windows version of Gemini in the future.

I prefer Gemini over Copilot for many tasks. I recently swapped to Google's AI tool for a month to see how it performed as an editor. While Copilot felt more personal, Gemini was often more accurate when it came to correcting tasks.

"In my specific use case, Gemini felt like an upgraded Microsoft Editor while Copilot felt like a modern Clippy," I said a couple months ago.

Both Copilot and Gemini have their strengths and weaknesses, but Google's option is better for my workflow. Our readers disagreed.

21% of those who voted in our poll about proofreading with AI use Microsoft Editor. Another 29% of participants use Microsoft Copilot. Only 11% of voters rely on Gemini to proofread documents.

Of course, Gemini and Copilot can do a lot more than proofread documents. Google recommends the new Gemini app for fact-checking documents, coming up with titles for a presentation, and creating images and videos.

For more complex tasks, you can hand things off to Gemini Spark within the app.

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Hey Copilot, what's the definition of ironic?

I'm not sure Microsoft Copilot would feed me this post from LinkedIn and Office EVP Ryan Roslansky, but maybe it should.

Earlier in the year, Microsoft CEO Satya Nadella bemoaned the term "AI slop" and hoped 2026 would be the year everyone started lying down and accepting AI as inevitable. So far, that hasn't happened. And what's worse, Microsoft's own senior employees seem increasingly annoyed by the tech.

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We've seen Xbox CEO Asha Sharma repeatedly use the phrase "AI slop" to describe subpar experiences like Microsoft's ill-fated "gaming Copilot," and LinkedIn itself deleted its "enhance with AI" post button, and replaced it with an "AI slop" report feature to try to boost the "quality" of its miserable, self-aggrandizing content algorithm.

Speaking of the hellscape that is LinkedIn, former CEO now Microsoft EVP Ryan Roslansky recently dropped this musing that I found to be particularly comical given what Microsoft has unleashed on the world.

Roslansky lamented, "AI slop isn't happening just on social networks ... it's happening in the day to day of work. Someone sent me what was clearly an AI generated doc. I read it, realized it was AI, had my AI summarize it, and ended up with nothing that brought new thinking to the idea ... This is a doom loop."

The phrase "no shit" comes to mind. Roslansky is speaking to a workplace irritation, but unwittingly touched on one of the AI industry's most self-destructive problems. One of the hilarious consequences of Microsoft Copilot, ChatGPT, Gemini, and other content-theft platforms is that they're trained entirely stolen human-made content. AI data sets post 2023 are doomed to rely on cannibalizing AI-generated content, creating an incestuous data "doom loop" Roslansky spoke of here. Researchers have described this as "model collapse" previously, as human content creators get put out of business by Google's AI summary box. Reddit is reportedly thinking of cancelling its AI training contracts with Google, after realizing that Google's content theft engines are killing Reddit's entire business. Reddit recently blocked ChatGPT from accessing its content, as the platform seeks to insulate its business from theft.

"If we're not careful, we'll end up with a very expensive way to avoid writing and reading in an ocean of sameness, genericness ... Let's not do that." Roslansky pleads, "Let's go another way where AI helps us to do things, to learn things, to create things, but in ways that we enhance and advance with our distinct perspectives and unique experiences!"

Lol. Lmao even.

The post was liked by Microsoft President Brad Smith, who I've noticed has been desperately trying to whitewash Microsoft's data center expansionism across his own LinkedIn recently. Microsoft, unlike other big tech firms, seems far more concerned with how badly AI is battering its public image. Microsoft's data centers are increasingly dealing with protests across the world. The destruction of local communities is uniting regular folk across the political spectrum in ways we haven't seen in years.

Microsoft unleashed this mess. Perhaps take some responsibility?

Xbox CEO Asha Sharma has been instrumental in turning around Microsoft's gaming brand in recent months, boosting perception of the platform with a flurry of consumer-friendly features and promises. It doesn't seem like other Microsoft departments got the memo, yet.

Linux adoption among consumers is gradually increasing, as gamers, tech enthusiasts, and even nation states seek to escape Microsoft's poor handling of Windows. AI buttons everywhere, unwanted bloatware, poor performance, and a collapse in trust has made Windows look more vulnerable than ever — and competitors are lining up to take advantage.

Microsoft is the undisputed monarch of AI slop. Watching its execs cry about the technology they themselves foisted on the world is a master class in obliviousness and responsibility avoidance. Microsoft isn't fooling anyone, except perhaps themselves, and it's miserably sad.

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I got into this business inspired by the innovations Microsoft was exploring a decade ago. Microsoft led cloud convenience and digital platform synergy, its hardware innovations across Surface even gave Apple pause. But it has become consumed by AI psychosis in recent years, and while shareholders are undoubtedly happy, consumers in Microsoft's "legacy" business are looking for the exit.

Whether it's data centers destroying local communities, AI bull cluttering up Windows, or Microsoft's harvesting of tech components blowing up consumer prices ... perhaps Microsoft's senior execs need to read the room, sit down, and take some responsibility for the chaos they've unleashed on the world.

A crazy idea — that didn't require any input from AI, by the way.

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The big AI era isn't going as some might've hoped.

OpenAI and other big companies are losing billions chasing artificial intelligence technology, and it's only clever accounting and circular investments keeping the entire industry afloat. OpenAI specifically is in hot water, with spending commitments through to 2030 coming scarily close to $1 trillion dollars, and is operating purely on the basis of handouts from the likes of SoftBank, NVIDIA, Oracle, and Microsoft. OpenAI is looking to spend $50 billion in compute alone in 2026 on roughly $25~ billion in revenue, revenue which is also made up at least in part with IOUs.

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Despite the scary numbers, OpenAI is trucking along on faith and fumes alone, as companies' belief in the tech keeps the firm alive, for now.

Yet, even Sam Altman is having doubts about the impact of large language models. In a new podcast, Altman lamented "economic inertia" for the lack of adoption, and also called out the AI industry for making the tech seem "scary."

"A lot of the people building AI have been off saying there's a 25% chance we're going to destroy the world ..."

Altman effectively blamed those pesky humans for not adopting ChatGPT and other AI products, lamenting that "people keep using their tools in the same way" they had previously been using them.

"I thought when we got to [ChatGPT]-4, which was back in 2023, I thought very quickly after that there'd be much more disruption, with the software business up for grabs right away. I was wrong about a few things, one of them, in terms of the speed ... the economy just has so much inertia. People keep doing the same things they're doing, they keep buying from the same company, they keep wanting to use their tools in the same way ..."

Altman implied that the "slow" pace of change would make the "transition" to AI "smoother." Elsewhere in the podcast, Sam Altman remarked that AI leaders had "not done a very good job" explaining AI tech, referring to the broad backlash to the technology.

"I also think a lot of the people building AI have been off saying there's a 25% chance we're going to destroy the world ... and yeah, we're going to race ahead and do it because otherwise those bad guys will do it first. Or it's like, 'man, this thing is going to be really terrible, and 50% of the jobs are going to go away in the next year, and we hope you are all okay,' but it seems really scary.

We have not, as a field, done a very good job of explaining to people what the benefits are and how the downsides can be mitigated. We certainly have not done a good job ... even if people have had answers like, 'well, there's going to be universal basic income, or work will be optional', or whatever. There's been very little discussion from people about how and why it's important that people have more power and freedom in the world, not less."

My take: Altman just doesn't get it

I think the key issue with this AI tech is that most people just don't find it very useful. I work in an industry that, at least on paper, should benefit from some kind of automagical writing tool. The problem is that it loses so much nuance and accuracy that, even if I wanted to use it for work, I literally can't.

I think a lot of these very technical, mathematically-inclined dudebros pushing this format have little knowledge or understanding about how and where this technology should be applied. Spotify, YouTube, Instagram, gaming platforms, and other services are actively trying to filter out AI content, as it is repeatedly proven to decrease engagement — users actively hate it. Companies that are using tokens to try to boost productivity are finding that they're actually just boosting costs, and that they're simply finding a new bottleneck in the finite amount of addressable customers.

LLMs undoubtedly have uses, but when 90% of the compute is being spent on utterly unproductive use cases, the economics simply seem primed to implode. If you're spending tokens for the sake of spending tokens, and it doesn't lead to any discernible increase in sales — what is the point? You could use AI to make hundreds of slop video games, but people already have more than enough to play built by an ironically more affordable human workforce.

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In the future, I think we'll find AI probably ends up as a tool of governments in things like law enforcement and medical fields. Specific industries will benefit from tools that can parse and summarize large, complex data sets, albeit with the unfortunate knowledge of LLMs' penchant for hallucinations and outright lies. Just yesterday I asked Copilot to find some links to some old Windows Central articles I did. It just straight up lied and gave me some completely made-up links instead. Extrapolate these simple mistakes to medical fields or military applications, where lives are literally at stake ... is it worth the risk?

Perhaps the issue is that AI's inaccuracy renders it only viable in low-stakes businesses ... and those low-stakes businesses simply won't see a real return over doing things the "old way," which Altman describes as economic "inertia."

Perhaps it's not inertia. Perhaps the AI business model is just not the disruptor it was cracked up to be.

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