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Grok is now in Microsoft Copilot, but don't expect snark in your spreadsheets

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.

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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's Gemini app for Windows 11 uses the same keyboard shortcut as Copilot

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.

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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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  • ✇Yanko Design
  • Reolink’s OMVI 2i Ultra Wireless Security Camera can look in two directions at once: Hands-on at IFA 2026
    Picture a courier walking up your driveway while someone else quietly tries your side gate. A normal pan-tilt camera picks one of them and forgets the other exists. Reolink’s OMVI 2i Ultra handles it by carrying two cameras at once: a fixed 4K wide lens on top that never stops watching the full scene, and a 5MP pan-tilt ball below that spins 355 degrees to lock onto whatever the wide lens flags. Both feeds record at the same time, and you can tap anywhere on the wide view to slew the turret str
     

Reolink’s OMVI 2i Ultra Wireless Security Camera can look in two directions at once: Hands-on at IFA 2026

4 septembre 2026 à 03:00

Picture a courier walking up your driveway while someone else quietly tries your side gate. A normal pan-tilt camera picks one of them and forgets the other exists. Reolink’s OMVI 2i Ultra handles it by carrying two cameras at once: a fixed 4K wide lens on top that never stops watching the full scene, and a 5MP pan-tilt ball below that spins 355 degrees to lock onto whatever the wide lens flags. Both feeds record at the same time, and you can tap anywhere on the wide view to slew the turret straight to that spot. It debuted at IFA 2026 in Berlin, ships late October, and costs between $200 and $250.

A detachable 10,000mAh pack claims six months per charge, and the 6W SolarEase panel says it needs about thirty minutes of daily sun to stay topped up, against the one to two hours Reolink quotes for rivals like Eufy’s S340 and the Tapo C675D. Those are Reolink’s own numbers, so hold them loosely until somebody leaves one on a north-facing wall through a British winter. The rest is easier to verify. Wi-Fi 6 across both bands, up to 512GB of local microSD with no subscription attached, colour night vision from twin spotlights, a siren, and IP65 sealing. At a kilogram with the bracket, it is a proper lump of hardware rather than something you tuck on a shelf.

Designer: Reolink

Pan-tilt cameras have quietly lied to buyers since the format existed. Sell someone a camera that turns to follow motion and you have also sold them a camera that stops watching everywhere else the instant it does. Reolink’s fix is embarrassingly simple once you see it. Stop asking one lens to be both the guard and the chaser, and give it a second lens that only guards. The wide 4K unit up top runs at 110 degrees horizontal and never rotates, so the scene it opened on is the scene it keeps recording no matter where the PT ball below it wanders off to. Reolink calls this SyncTrack, but the actual idea is closer to division of labour than any clever algorithm. One camera commits to context, the other commits to pursuit, and neither has to compromise for the sake of the other.

This is the third time Reolink has built this exact idea in 2026, and each version has been a slightly different argument about what matters most. The X16 landed at CES in January as a 24MP full metal flagship with 16x optical zoom, but it needs an ethernet run to function, which puts a hard ceiling on where it can live. The 3i followed in June with PoE and wired Wi-Fi options at $319.99, still asking for a nearby outlet even in its most flexible form. The 2i Ultra drops the combined resolution to 8MP plus 5MP and, in exchange, cuts the cord entirely. The trade-off is the clever bit, because being able to pop a camera on a fence or a backyard without worrying about wiring is much more convenient than haggling over megapixels.

A squared-off dual-lens head sits above a separate motorized ball, with a solar panel tilting on its own hinge overhead, and the whole assembly weighs a full kilogram once the bracket is attached. Compare that to Reolink’s own Argus MagiCam, a 108-gram cube you stick to a fridge with a magnet, and the difference in ambition is obvious at a glance. This is not a camera trying to disappear into a bookshelf. It reads more like a small piece of maritime equipment bolted under an eave, and that visible mechanical presence is doing some of the deterrence work before the siren ever gets involved.

That dual-lens design is quite literally baked into the name. OMVI reads like omni-vision, a camera built to watch in every direction at once instead of picking a lane. Arlo’s Ultra flagship still wants a wall plug or a proprietary base station to unlock its best tricks, and Nest’s outdoor cameras have quietly stayed wired-first for years now, which makes the 2i Ultra’s fully wire-free build feel like it is actually catching up to how people install things rather than how manufacturers wish they would. No drilled conduit, no hub tucked in a closet, just a battery, a solar panel, and a spot on the fence you actually wanted the camera to go.

That is the real flex against the flagships twice its price. You are not paying for a wall socket you have to plan your whole install around, and you are not paying for a bulky base station eating an outlet indoors either. You get two lenses doing genuinely different jobs, a battery that outlasts most of the category on paper, and a name that finally means something instead of just sounding techy. At $200 to $250, the OMVI 2i Ultra is the version of omni-vision security that shows up ready to mount anywhere the moment you take it out of the box.

The post Reolink’s OMVI 2i Ultra Wireless Security Camera can look in two directions at once: Hands-on at IFA 2026 first appeared on Yanko Design.

  • ✇Yanko Design
  • Cloud AI Means Someone Else Has Your Data, MINISFORUM Fixes That
    Running a serious AI model at home usually means renting someone else’s cloud server and hoping your data stays private along the way. MINISFORUM built its newest pairing to remove that trade-off entirely. The AI Agent NAS N5 MAX-P495 and AI Mini Workstation MS-S1 MAX-P495 combine for up to 131 TOPS of AI compute performance, 192GB of memory at 8533 MT/s, and up to 160GB of graphics memory, enough headroom to keep the heavy lifting on a desk instead of in a data center. The N5 MAX-P495 takes th
     

Cloud AI Means Someone Else Has Your Data, MINISFORUM Fixes That

Par : JC Torres
4 septembre 2026 à 00:00

Running a serious AI model at home usually means renting someone else’s cloud server and hoping your data stays private along the way. MINISFORUM built its newest pairing to remove that trade-off entirely. The AI Agent NAS N5 MAX-P495 and AI Mini Workstation MS-S1 MAX-P495 combine for up to 131 TOPS of AI compute performance, 192GB of memory at 8533 MT/s, and up to 160GB of graphics memory, enough headroom to keep the heavy lifting on a desk instead of in a data center.

The N5 MAX-P495 takes the shape of a compact black cube, but what it holds inside matters more than how it looks sitting on a shelf. It combines powerful AI computing with up to 200TB of local storage, enabling users to store, manage, and process large volumes of data within a single AI platform. That capacity turns a spare corner of an office into a private archive large enough to hold years of project files, footage, or research without ever touching a third-party server.

Designer: MINISFORUM

Storage alone doesn’t make an AI system useful, so MINISFORUM built the N5 to run the AI itself. From RAG knowledge bases and AI models to embeddings, databases, and AI agents such as OpenClaw and Hermes, N5 MAX-P495 keeps data and AI workloads local, enabling continuous and private AI operations. A small business could lean on that setup to run its own customer-support agent without routing conversations through an outside company’s servers.

That local-first approach extends to how the N5 fits into a larger setup. Designed to work alongside AI computing devices, N5 MAX-P495 serves as a centralized backend for data, models, knowledge, and long-running AI workloads, bringing storage and computing together at the edge. It’s less a standalone gadget and more a quiet engine room, built to keep working in the background while something faster handles the parts people actually interact with.

That faster half of the pairing is the MS-S1 MAX-P495, a compact tower wrapped in a ventilated, diamond-textured front panel that looks more like a piece of desk sculpture than a workstation. It delivers powerful local AI computing for demanding model inference, AI development, and computationally intensive workloads, built for intensive local AI tasks, engineering, and workflows in an ultra-compact footprint. Developers get workstation-class muscle without giving up desk space to a full tower case.

Speed matters just as much as raw power for certain jobs, and MINISFORUM designed the MS-S1 with that in mind. Designed for low-latency AI workloads, MS-S1 MAX-P495 enables responsive local inference for AI agents, computer vision, generative AI, and other real-time applications. A security camera system or a live creative tool built on generative AI benefits directly from that kind of immediate response instead of waiting on a round trip to the cloud.

Connectivity rounds out the workstation’s role in a larger setup. With extensive connectivity and expansion capabilities, MS-S1 MAX-P495 serves as a powerful AI compute frontend, supporting models, applications, and connected devices across flexible edge AI environments. That flexibility means the same box can sit at the center of a home lab or plug into a small studio’s existing hardware without forcing a rebuild.

Paired together, the two devices split the work the way a good team would. The MS-S1 MAX-P495 and N5 MAX-P495 form a complete edge AI computing system, delivering high-performance AI compute at the frontend while integrating compute, massive storage, data, and AI knowledge at the backend, providing a powerful foundation for real-time inference, persistent AI workloads, and scalable local AI applications. It’s a compact answer to a question more households and small teams are starting to ask: whether AI still needs to live somewhere else at all.

The post Cloud AI Means Someone Else Has Your Data, MINISFORUM Fixes That first appeared on Yanko Design.

  • ✇Yanko Design
  • Plaud One Hands-On at IFA 2026: AI Earbuds That Transcribe Meetings, Then Draft Emails And Decks For You
    For three years, Plaud made very good tape recorders with a PhD. You pressed a button, it captured a meeting, and mere minutes later a summary showed up. The Plaud One, launched at IFA 2026 for €249.90, reverses that arrow. Its charging case now holds four beamforming mics, a speaker, an agent button and a built in eSIM, so it stays online without a phone nearby. Hold the agent button and the AI talks back, asks what you meant, then builds the deck or drafts the email while you get on with your
     

Plaud One Hands-On at IFA 2026: AI Earbuds That Transcribe Meetings, Then Draft Emails And Decks For You

3 septembre 2026 à 20:28

For three years, Plaud made very good tape recorders with a PhD. You pressed a button, it captured a meeting, and mere minutes later a summary showed up. The Plaud One, launched at IFA 2026 for €249.90, reverses that arrow. Its charging case now holds four beamforming mics, a speaker, an agent button and a built in eSIM, so it stays online without a phone nearby. Hold the agent button and the AI talks back, asks what you meant, then builds the deck or drafts the email while you get on with your day.

That flip from recording to doing needed hardware nobody had built yet. Not a pendant, not a pin, not another app crammed onto a phone you were already staring at. Plaud built a palm sized aluminum box with a fluted lid that looks like a Rimowa suitcase went through a shrink ray, sitting on a table, listening across a room, and talking back like a colleague who never needs coffee. The Explorer Edition opens for pre order now, capped at 2,000 units worldwide, with deliveries landing in Q4. A public version follows in 2027, once Plaud has watched two thousand early adopters put the thing through its paces.

Designer: Plaud

The original Plaud Note clipped onto a phone and did one job, listen to a meeting and hand back a transcript once it ended. The Note Pro added a screen and better mics. The NotePin S shrank the format onto a lanyard clip. Every generation stayed reactive by design, a smart recorder waiting for you to press stop before it did anything useful. That business built Plaud’s 2.5 million user base and reportedly crossed $100 million in annual software revenue by June, which is exactly the kind of runway that lets a company gamble on reinventing its own hardware category from scratch.

Vertical fluting runs down the case’s aluminum lid, the same visual trick Rimowa has stamped into cabin luggage since the 1950s, giving a 62 gram object a sense of density it has no right to carry. Flip it open and the earbuds sit half in ear, silver capped, in a tray that reads closer to a jewelry box than a charging dock. A speaker grille, a record button and a separate agent button line the case’s edge, the three controls that turn a charger into a device you actually talk to. None of it apes a phone. It reads like furniture for a desk, not gear for a pocket.

Earlier Plaud devices leaned on your phone for both processing and connectivity, so the intelligence always sat one hop away from the microphone. Plaud One’s case carries its own 4G LTE connection through a built in eSIM, closing that gap entirely. Capture, transcription and agent response now run in one box, independent of any other screen in your life. Leave your phone in a bag, walk into a cafe, and the case still records the table’s conversation, answers a question out loud through its speaker, or fires off a follow up email on command. Every pendant and pin that came before this quietly depended on a phone doing the real work behind the scenes. Plaud One is the first in the category that genuinely does not.

Plaud Agent drafts a follow up email the moment a client call ends. Feed it a meeting and it builds a slide deck while you sit through your next call, then drops the finished file straight into Notion with zero copy pasting. The platform connects to Gmail, Google Workspace, Microsoft Teams, Slack and Notion today, with more integrations promised as the software matures. Set it loose on a standing task, a monthly competitor scan for instance, and it runs quietly in the background, waiting with a finished report the next time you check. This is the actual bet Plaud is making, that an assistant worth having has to act, not just remember.

Pre orders for the Explorer Edition are open now at €249.90, with the first 2,000 units shipping in Q4. Buyers get $200 in Plaud Credits toward the heavier agent features on top of a starter transcription plan, so the price buys a running start on the software as much as the hardware. Calling this an Explorer Edition rather than a finished release is the honest move, an open beta wearing genuinely sharp industrial design. Plaud spent three years building the best possible way to listen. Plaud One is its first real attempt at building something worth talking to.

The post Plaud One Hands-On at IFA 2026: AI Earbuds That Transcribe Meetings, Then Draft Emails And Decks For You first appeared on Yanko Design.

Microsoft executive vice president bemoans employees sending him "AI slop," saying "This is a doom loop." — Maybe take some responsibility? 🤔

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.

Microsoft EVP Ryan Roslansky on

Ryan Roslansky bemoaning "AI slop" in the workplace, liked by Microsoft President Brad Smith. (Image credit: Ryan Roslansky on LinkedIn)

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?

Microslop logo on a Microsoft Azure data center

I've been covering Microsoft for over a decade, and I can't remember a time where it was more hated. (Image credit: Photo via Lexi Critchett/Bloomberg via Getty Images. Microslop logo by u/SaucyStrawberries, edit by Jez Corden (sorry). )

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.

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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Ryan Roslansky with Microslop in the background

Ryan Roslansky with Microslop in the background

  • ✇Yanko Design
  • Miele’s G8 Dishwasher Photographs Your Dirty Dishes Before Auto-Selecting The Cycle: Hands-on at IFA 2026
    Miele’s new G8 Diamond snaps a photo of your dirty dishes before it washes them. The moment the door swings toward shut, a light inside blinks on, a camera grabs one frame, the light dies, and the AutoVision system studies what it caught. If it sees a bottle, it calls up BottleClean and drives the spray harder. If it sees a pot, the cleaning intensity climbs. If it sees plastics, it runs the new hot air drying harder, because plastic containers are famously terrible at drying themselves. Miele
     

Miele’s G8 Dishwasher Photographs Your Dirty Dishes Before Auto-Selecting The Cycle: Hands-on at IFA 2026

2 septembre 2026 à 18:30

Miele’s new G8 Diamond snaps a photo of your dirty dishes before it washes them. The moment the door swings toward shut, a light inside blinks on, a camera grabs one frame, the light dies, and the AutoVision system studies what it caught. If it sees a bottle, it calls up BottleClean and drives the spray harder. If it sees a pot, the cleaning intensity climbs. If it sees plastics, it runs the new hot air drying harder, because plastic containers are famously terrible at drying themselves. Miele showed it for the first time at IFA 2026 in Berlin, and it lands in Germany, Austria and Switzerland in April 2027.

A camera in a dishwasher makes the headline, but the memory is what makes the design. The G8 holds onto that bottle it clocked at breakfast, so stacking dinner plates on top of it by eight in the evening changes nothing. Layer in AutoDos and its PowerDisk granulate, measuring out its own detergent since 2018, then set an app rule that says wait until 80 percent full and never before 10pm, and the machine stops consulting you altogether. Miele has spent decades selling dishwashers on the promise that they scrub so you do not have to. This one wants to think so you do not have to.

Designer: Miele

Here’s the part that actually impressed me. AutoVision doesn’t run a video feed you can scrub through in the app. It fires once, right as the door clicks shut, and the machine works from that single image for the entire cycle. Load a wine bottle at breakfast, stack it under a mountain of lunch plates by evening, and the G8 still treats it as a bottle, because it saw it once and that was enough. The only real caveat came from Miele’s own team at IFA: keep bottles roughly central and pots in the lower basket, since the spray arm still struggles to reach the far corners. Vision only helps if the water can follow it there.

What makes this genuinely new isn’t the word AI, which every appliance brand at IFA 2026 was throwing around like confetti. Most of those claims are turbidity sensors, the kind that read how murky the wash water has become and adjust accordingly. LG’s SenseClean works that way, and Samsung has filed similarly around soil detection. A turbidity sensor knows the water is dirty. It has no idea why. Miele’s camera identifies the actual object sitting in the rack, a considerably harder computer vision problem, and one that both LG and Bosch have patented around for years without shipping a consumer dishwasher built on it. Miele is putting an object-recognition camera inside a box you can buy next spring, not just inside a patent filing.

Around that camera sits a decade of quieter automation finally clicking into place. AutoDos, with its PowerDisk granulate, has been dosing detergent on its own since 2018, and Miele still claims nobody else in the category offers true automatic dispensing. ExcellentDry adds a hot air system with three fixed levels, chosen once and then applied forever, aimed squarely at the plastic containers that usually come out of a cycle still damp at the base. The cutlery drawer becomes a genuine third tier, one side droppable for coffee cups, and a new touch display replaces the old dial logic. Set the app to run only past 10pm and only above 80 percent full, or tie it to your solar output, and the dishwasher stops asking permission for anything.

None of this works if you don’t trust the camera’s judgment, and Miele knows it. “Intelligence can be programmed. Trust has to be earned,” said Dr. Axel Kniehl, the company’s Executive Director of Marketing and Sales, at the IFA press conference, and it’s the one line from the whole reveal that actually admits the stakes. AutoVision only functions if enabled by the user, according to Miele’s own release, which suggests it ships switched off by default. Fair enough. Handing a machine the authority to decide how hard to scrub your grandmother’s pans is a bigger ask than letting it dose its own detergent, and Miele seems to know it needs to earn that permission slowly rather than assume it.

The G8 Diamond won’t reach a single kitchen before April 2027, and even then only in Germany, Austria and Switzerland, so everything here is still a promise rather than a lived-in product. But the promise is the interesting part. For a century, appliance makers competed on how much physical labor they could remove. Miele is the first one at this scale betting the next fight is over who you trust to make the fifty tiny decisions labor never touched in the first place.

The post Miele’s G8 Dishwasher Photographs Your Dirty Dishes Before Auto-Selecting The Cycle: Hands-on at IFA 2026 first appeared on Yanko Design.

OpenAI's Sam Altman just admitted he was "wrong" about AI — laments that he made the tech seem "scary"

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

Open AI CEO Sam Altman speaks during a talk session with SoftBank Group.

(Image credit: Getty Images | Tomohiro Ohsumi, Stringer)

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.

RELATED: Ed Zitron talks to us about Microsoft, OpenAI, and the future

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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Sam Altman on David Senra's podcast

Altman laments.

Microsoft is ditching the COPILOT function in Excel before it even launches

Less than one year after being launched in preview and before leaving testing, the COPILOT function in Excel is going away. The function never shipped to general availability, but it could be used by Frontier and Insider users since August 2025.

The COPILOT function allowed users to use natural language to place prompts into spreadsheets. For example, you could use it to summarize text or categorize feedback. The function could also look up information from the web.

While useful, the function had serious limits. Microsoft stated that people should not use the COPILOT function for numerical calculations, responses that require context from other parts of a workbook, or any tasks with "legal, regulatory or compliance implications."

Considering how many people use Excel for important work and calculations, those limits are quite restrictive.

Microsoft's explanation of why the feature is going away lacks details. Instead, it primarily focuses on the fact that Copilot in Excel is still available in the side pane:

"Beginning September 14, 2026, the =COPILOT function in Microsoft Excel will no longer be available. This function is currently offered as a preview feature through the Insider and Frontier programs.

Customers can continue using Copilot in Excel through the Copilot side pane, which provides many of the same AI-powered capabilities, including summarizing text, classifying data, generating content, and retrieving information from the web. This change helps streamline the Copilot experience within Excel while continuing to provide AI assistance through a supported interface."

Users will not be able to create new formulas using the COPILOT function after September 14, 2026.

Windows Central take

Microsoft Copilot on a red background

(Image credit: Windows Central | Jez Corden)

It appears Microsoft may be reining in Copilot a bit. The AI tool is still part of the company's plans, but in a more controlled manner.

Microsoft has a unified Copilot experience that merges Copilot and Microsoft 365 Copilot. We've also seen some Copilot features go away or be limited over the last few months.

Earlier this summer I argued that the free version of Copilot is starting to feel like a tech demo designed to push paid tiers. I still think that's the case, but if Microsoft is going to push Copilot, it's best to do so with a plan.

Since the launch of Copilot, it's felt like Microsoft threw everything at the wall to see what sticks. The Copilot brand was diluted and there were dozens of different apps with Copilot in the name. Anything even remotely related to AI was attached to Copilot in some way, making the term almost meaningless.

Whether it's because Microsoft decided that strategy was a mistake or it's just had enough time to assess what properly stuck, the next wave of Copilot feels more targeted.

Blank Pixel

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Excel spreadsheet with checkboxes

The upcoming checkboxes feature in Microsoft Excel makes it easy to visualize certain data.

Classic Outlook bug breaks Copilot, but some might call it an upgrade

When does a bug become a feature? Microsoft needs to answer that question now that classic Outlook may hide the Copilot button and stop other Copilot features from working.

A bug that appears with build 20026.20182 of classic Outlook prevents access to Copilot Chat and removes Copilot entry points within the app.

"After classic Outlook for Windows updates to build 20026.20182 and higher, you no longer have Copilot Chat or Copilot entry points in Outlook," reads a Microsoft support document. "This issue happens if you have a Copilot Chat (Basic) license or a paid M365 Copilot (Premium) account."

While it's easy to joke about Copilot going missing being "addition by subtraction," the bug is likely frustrating for those that rely on Copilot within classic Outlook.

If your system is affected by the bug, the Copilot button could be missing from the top-right area above the ribbon. The Copilot icon can also go missing in the left app bar or the More Apps area.

Even if you see the Copilot icon in the Add Apps section, selecting "Open" may not do anything at all. Even if you've added Copilot through ribbon customization, the option may appear grayed out or unavailable.

Only classic Outlook is affected, meaning Copilot still appears and works as usual within the web version of Outlook and other versions. The Microsoft 365 Copilot app and web experience are also working normally, though it's worth noting Microsoft has a new unified Copilot experience rolling out.

If you need to use Copilot immediately, Microsoft suggests switching to Outlook on the web or the new Outlook app. While standard fixes like creating a new Outlook profile, clearing local cache data, re-signing into Office, or restarting Windows have been tried, Microsoft notes they don't consistently restore the missing buttons.

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Microsoft CEO Satya Nadella in front of the Microsoft Copilot AI logo.

Microsoft CEO Satya Nadella in front of the Microsoft Copilot AI logo.

ChatGPT adds Windows 11's most hated feature to Mac — Will the backlash be the same this time around, or has OpenAI taken the right approach?

I have several PCs in my office that are capable of running Copilot+ tools in Windows 11, but there's one feature I've stayed away from: Windows Recall.

Why? I don't particularly like the idea of AI snapshotting what I do on my PC and making it searchable, even if it promises to never let the data leave my local system. I'm sure it's handy for some users, but I've yet to come across a scenario where I wish I had it enabled.

If you're of the opposite opinion and happen to use macOS, I have good news. OpenAI today announced "ChatGPT Computer History" for its macOS app.

What is ChatGPT Computer History?

Today we're releasing Computer History in ChatGPT.It lets ChatGPT learn from everything you do on your computer, so it can better understand how you work, finish tasks that you're in the middle of, and suggest skills and automations based on how you use your computer. pic.twitter.com/xnTq7hWH8OAugust 13, 2026

It's tough not to immediately begin comparing Computer History to Windows 11's Copilot+ Recall feature.

Here's a blurb from the ChatGPT press release about how it works:

Computer History turns your activity across apps and websites into memories and a timeline that ChatGPT and Codex can reference. You can ask natural questions about recent work, pick up where you left off, understand patterns in how you work, and turn repeated workflows into skills or automations.

OpenAI

Yeah, that sounds like the same thing. But let me explain ChatGPT's version a bit more.

Computer History, according to ChatGPT's website, is completely optional and turned off by default for Pro, Business, and Enterprise subscribers.

Rather than collecting screenshots every so often to keep track of your doings, Computer History "records interaction events and does not capture your screen or audio." It's basically its own little keylogger, keeping tabs on clicks, typing, app switching, shortcuts, and more.

The data it records is searchable, and you can interact with Computer History the same way you interact with any AI, asking it regular language questions.

The data that Computer History gathers is saved locally on your Mac, but it does get sent to OpenAI's cloud servers in order to turn it into memories. These memories are then sent back to your Mac for local storage.

OpenAI says it does not keep this data on its servers unless required by law, and it does not use the data for training.

Is Computer History different enough from Recall to avoid similar backlash?

Windows Recall

A look at the Recall feature's pause option in the Windows 11 taskbar. (Image credit: Windows Central)

The reaction to ChatGPT's Computer History announcement is surely mixed. It seems like there are just as many people worrying about massive privacy and surveillance issues as there are people wondering if they should go out and buy a Mac.

Windows Recall faced the same adversity when it was announced as a default feature, with no opt-in available. The pushback was so bad that Microsoft delayed its launch by almost a year in order to address security issues. It officially released in April 2025 as an opt-in feature, but I know that many Windows users are still wary of its abilities.

The fact that ChatGPT is making its Computer History opt-in from the start tells me it learned from Microsoft's mistakes. There's also the fact that it doesn't take screenshots, making it feel less like routine spying.

Meme work rules comic showing ChatGPT being treated nicely for the same thing that Microsoft is treated harshly.

The memes coming out of the ChatGPT Computer History announcement are gold. (Image credit: @trashpandaemoji (X.com))

That doesn't mean there aren't inherent risks to using something like Recall on Windows or Computer History on macOS.

It's clearly noted in OpenAI's Computer History documentation that the feature does not encrypt your information, and that it can be accessible to other apps running on macOS.

Like Recall, there are also serious prompt injection risks. Because these AI-powered features can essentially see what you're doing, they can be tricked with text. You might visit a seemingly innocuous website, only to realize later that it contained hidden instructions aimed at AI that made it do something unsavory.

Windows Central's take

Recall symbol highlighted on Taskbar with prompt confirming Recall is activated

Some of us here at Windows Central use Windows Recall on our PCs, but I stay away from it. (Image credit: Zac Bowden / Windows Central)

Some of us here at Windows Central use Windows 11's Recall feature. Others don't. I'm in the latter camp, but one day that might change.

Why? It feels like there's a definite push going on with AI assistants that can remember everything you do, and it's not just ChatGPT and Microsoft. I've spent time with Lenovo's Qira cross-device ambient assistant, and I've written about HP IQ.

Although I shudder at the privacy implications of these tools gone wrong, they definitely seem like one strong fork in the future of computing. It will be interesting to see how this all plays out, and ultimately to see how macOS users react to something that made Windows users go ballistic.

What do you think about ChatGPT's Computer History? Is it Recall with a different name? Is ChatGPT approaching the tool properly with opt-in-only settings and no screenshotting? Is it something you'd use on Windows 11? Let me know in the comments section below!

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Scooby Doo meme of Fred pulling the mask off of ChatGPT only to reveal Windows Recall beneath.

Scooby Doo meme of Fred pulling the mask off of ChatGPT only to reveal Windows Recall beneath.

Microsoft begins unified Copilot app rollout: Reveals major plan to merge Copilot and Microsoft 365 Copilot across all platforms, along with updated branding

Back in May, Microsoft confirmed that it was working on a Copilot super app that would merge the different consumer Copilot and productivity Copilot experiences under one app. Until now, Copilot and Microsoft 365 Copilot have been targeted at different users, but starting today those apps are being merged into one.

"We're updating Copilot to create a simpler, more cohesive experience for everyone," a new Microsoft Support document says. "Depending on the account and device you use, you will see changes to the Copilot app including changes to appearance and functionality, such as navigation, feature availability, or sign-in experience."

The unified Copilot experience begins its rollout today, but not everyone will see it right away. Microsoft says the experience will land on mobile first, with the unified Copilot on Windows and macOS being an opt-in experience at first, made available over the coming weeks.

The rollout should make it easier to move between using Copilot as an AI assistant for personal matters and using Copilot for productivity based tasks. For most people, not much will change with the unified app, which will simply appear as "Copilot" now. With that said, Microsoft does say that some features are going away with the unification. Those features include:

  • Group Chat
    • All group chat threads, messages, and images will not carry forward after August 18, 2026.
    • Users must manually copy or download anything they want to keep.
  • Podcasts
    • The Podcasts feature is being fully retired on August 18, 2026.
    • Users will no longer be able to create or access podcasts in Copilot after this date.
    • Individual podcast files can still be downloaded before retirement.
  • Deep Research
    • Deep Research is being retired for consumer users starting August 18, 2026.
    • Existing Deep Research content will remain accessible, but the feature itself will no longer be available.

For those using Copilot with a work or school account, Microsoft says the unified Copilot app is also coming to those accounts too. The personal and commercial accounts will be separated within the app, meaning data from your work or school account won't be shared with your personal account, and vice versa. "Work and personal accounts remain separate. Your organization's security, privacy, compliance, and administrative controls continue to apply when you use Copilot with your work or school account."

For those using the personal consumer Copilot app, you will notice an updated UI that more similarly matches the Microsoft 365 Copilot app. Those who use the Microsoft 365 Copilot app likely won't notice much of a difference, outside of the rebranded app to just "Copilot," along with a slightly updated logo.

For those curious, this is the new Microsoft Copilot icon and branding. Can you tell the difference? No, us neither.

New Microsoft Copilot Logo for 2026

The new Copilot logo is very similar to the old one. (Image credit: Microsoft)

Lastly, Microsoft has confirmed that all your Copilot data (except for the features that are being taken away) will migrate automatically to the new experience, meaning users won't need to do anything to ensure their chats and data are carried forward. All of that will happen automatically when the unified app lands on your device.

The unified Copilot experience begins its rollout today, though it's happening in waves so most users won't see the changes right away. Worldwide rollout for the mobile starts today, with rollout for Windows and macOS expected to start in mid September. Here's the full rollout schedule:

  • Mid‑August 2026 — Worldwide rollout begins for mobile and web apps; early‑access opt‑in opens for Windows and Mac apps; copilot.cloud.microsoft URL available in Frontier for testing.
  • Late August 2026 — Standard rollout of the URL redirect begins.
  • Mid‑September 2026 — Worldwide rollout begins for Windows and Mac apps.
  • Late September 2026 — Deferred rollout of the URL redirect begins for the web app.

Microsoft's unification of Copilot is a long time coming, and one that is setting the company up to deliver a Copilot super app experience that can do everything across Microsoft's platforms and services. It never made sense for Microsoft to split Copilot up between consumer- and productivity-based use cases, especially since users commonly want to do both.

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Microsoft CEO Satya Nadella in front of the Microsoft Copilot AI logo.

The new Copilot begins rolling out today.

"If it was opt in ... nobody would opt-in." Twitch CPO squirms, admits everyone hates its new AI training 'feature'

Twitch has another backlash on its hands, this time for forcibly opting-in all of its users to wanton content theft.

Twitch is a generally awful platform. The business has been a major drag on Amazon's bottom line since they acquired the brand losing billions of dollars year in, year out. Amazon has simply been unable to figure out how to adequately monetize the platform in a video streaming universe dominated by YouTube and Google ads, but its treatment of its userbase and content creators has hardly helped.

DEAL: Get Surfshark VPN 86% OFF with Windows Central 🦈

Indeed, Twitch is facing another backlash right now for forcibly opting users into "ai training." Now, when you stream on Twitch, by default your likeness, content, voice, and other interactions will be used to train Amazon's AI stuff, in a move nobody could've seen coming.

they know we don't want it. they do not care.

— @witchytq.bsky.social (@witchytq.bsky.social.bsky.social) 2026-08-12T22:25:50.671Z

Responding to the backlash, Twitch Chief Product Officer Mike Minton admitted that they knew everyone hates it, but they don't care.

"Why is not opt-in?" Minton responded, acknowledging Twitch's very angry chat during a live stream this past week. "I get it ... let me opt-in vs. making me opt out. The honest answer, and I think most of you can probably appreciate this ... if it was opt-in, nobody would opt-in. That's honestly the answer. It's gonna' be on by default."

You can opt out of Twitch's AI content theft machine by going to settings, security and privacy, then toggling off "training for generative AI."

Sam Altman gets ratioed for telling parents to make podcasts for their kids instead of talking to them

Shame AI can't teach tech bros to be normal, functional human beings. (Image credit: @_AlexHirsch on X (Twitter))

The entire tech world seems steeped in AI psychosis right now, expecting us plebians to just sit down and take generative slop and its painfully useless and forced "features" flooding into every corner of the web. AI Nutjob-In-Chief Sam Altman recently was fried alive on X (Twitter) for suggesting parents use ChatGPT to generate podcasts for their kids, rather than simply ... yanno, talk to them.

The latest Twitch backlash is just another long list in self-defeating stuff the platform has implemented over the last few years. For what it's worth, competitor YouTube does not give creators any control whatsoever over whether or not their content is used for training. Your content on YouTube is used automatically for Gemini's video training. Google only lets you opt-out of "third-party" training. At least Twitch is giving users an opt out ... which is something, I suppose.

As the tech world struggles to figure out how to make any of this AI stuff make sense, I suspect we'll see more dumb stuff emerge from the gaming universe, not less, in the near term.

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Twitch CPO Mike Minton admitting that Twitch hates its users

By default, Twitch will now steal your content to train AI. You can turn it off at least, unlike Google's YouTube.

  • ✇Yanko Design
  • Tecno Camon 50 Ultra 5G Review: A $420 AI Phone With Built-in Gemini, ChatGPT, DeepSeek, and Grok
    PROS: EllaClaw is one of the most impressive phone AI experiences available right now Multi-model AI support, including Gemini, ChatGPT, Grok, DeepSeek, Meta AI, and Ella Strong 2-day battery life from the 6500mAh cell Competitive value in the mid-range segment CONS: Single speaker setup sounds tinny and lacks bass Curved waterfall display is prone to accidental palm touches No wireless charging or Qi2 (MagSafe) RATINGS: AESTHETICSERGONOMICSPERFORMANCESUSTAINABILITY /
     

Tecno Camon 50 Ultra 5G Review: A $420 AI Phone With Built-in Gemini, ChatGPT, DeepSeek, and Grok

16 août 2026 à 21:46

PROS:


  • EllaClaw is one of the most impressive phone AI experiences available right now

  • Multi-model AI support, including Gemini, ChatGPT, Grok, DeepSeek, Meta AI, and Ella

  • Strong 2-day battery life from the 6500mAh cell

  • Competitive value in the mid-range segment

CONS:


  • Single speaker setup sounds tinny and lacks bass

  • Curved waterfall display is prone to accidental palm touches

  • No wireless charging or Qi2 (MagSafe)

RATINGS:

AESTHETICS
ERGONOMICS
PERFORMANCE
SUSTAINABILITY / REPAIRABILITY
VALUE FOR MONEY

EDITOR'S QUOTE:

The Camon 50 Ultra 5G feels like Tecno looked at the current AI phone race, skipped the walled garden nonsense, and built the first assistant experience that actually shows you why you’d want to use it in the first place.

Apple has Apple Intelligence. Google Pixel has Gemini. Samsung has Galaxy AI. Tecno has everything else. Packed into its EllaClaw agent is the ability to use Gemini, ChatGPT, Grok, and DeepSeek, because a walled garden never benefited anyone. Tecno’s Camon 50 Ultra 5G is a great phone, but what makes it worth doing a double take for is EllaClaw, an agentic AI built into the phone that offers a phone AI experience I have yet to see on any smartphone so far. EllaClaw is currently an invite-only closed Beta feature limited to just this phone, but seeing it in action gave me everything I needed to understand where other phones are going wrong with their on-board AI, and where they can learn from Tecno.

The wild part is how approachable it all feels. EllaClaw does not sit around waiting for you to guess the perfect command like some moody genie. It actively shows you what it can do, which makes the whole experience feel far less intimidating than Gemini or Apple Intelligence currently do. Within minutes, I was jumping between message summaries, creative tools, settings help, and different AI models without feeling like I needed a tutorial or a prayer.

Aesthetics

The moment I unboxed the Camon 50 Ultra 5G, I was hit with a serious case of déjà vu. The green variant has a gorgeous satin finish that gives it a silky, metallic glow under the light, and it immediately sent me down a memory lane trip to my old OnePlus 8 Pro which I faithfully used from 2020 to 2024. The color, the texture, even the way the camera module is arranged, it all felt so familiar and, frankly, so premium. Tecno absolutely nailed the flagship-esque feel here. The back is smooth to the touch, resists fingerprints reasonably well, and has a subtle elegance that a lot of phones in this bracket just do not bother with.

The front is where the design language gets a little more complicated, at least for me. Tecno went with a waterfall display, which means the screen curves dramatically around the sides. It looks stunning when the phone is off or when you are watching a video, creating an immersive, almost bezel-free experience. But I have always had a love-hate relationship with these displays. They are beautiful, no doubt, but they can be a magnet for accidental palm touches. While the software does its best to ignore them, I still found myself occasionally tapping something I did not mean to. It is a classic case of striking aesthetics meeting the messy reality of how we hold our phones. I do have to say that Tecno’s Liquid Glass homage does look much better on a waterfall display than on a bezel-ridden iPhone.

Ergonomics

That waterfall display has a big effect on how the phone feels in your hand. The curved edges melt away into the frame, making the Camon 50 Ultra 5G incredibly comfortable to hold. There are no sharp, flat corners digging into your palm, which is great for long sessions of scrolling or gaming. The trade-off, of course, is that the phone can feel a little slippery if you are not paying attention. It has that smooth, polished-stone feel that is lovely to touch but always feels one careless gesture away from a gravity experiment. It is a phone that practically begs to be put in a case, even if it feels like a shame to cover up the design.

The button layout is personally feels a little little bit tricky. On the left, you have a dedicated AI key that summons EllaClaw, a shortcut I ended up using constantly. You can remap it, but having a one-press gateway to the AI is a smart touch. The right side, however, is where my muscle memory started to complain. There is a power button and a fairly short, single-piece volume rocker. Because the rocker is slightly compact, I often found myself fumbling, unsure if my thumb was on volume up, down, or about to lock the screen. It is a small pain, but a tiny indent in the middle of the volume button would have made all the difference. The buttons themselves are slightly sharp and textured, a necessary choice for a phone with curved edges, but it does not quite solve the problem of telling them apart by feel alone.

Performance

EllaClaw is where the Camon 50 Ultra 5G earns its stripes. The dashboard (which you access by swiping towards the left – where you’d see Google Discover on most Android phones) keeps surfacing prompts, shortcuts, and suggestions, making the AI feel alive and accessible rather than buried under three layers of settings. Most phone AI treats users like they should already know what they want. EllaClaw meets you halfway, and that changes everything about how you interact with the phone.

The deeper layer, EllaClaw Pro, is genuinely impressive. It reaches into the phone’s apps and system functions in a way that feels ahead of where the conversation currently is. I asked it to summarize my text messages without opening the messages app, and it did exactly that, handling the whole thing on its own. That kind of agentic behavior is the next logical step for phone assistants, and right now, Tecno seems to be ahead of the pack. Nothing reassured me that the AI wasn’t reading my messages to enhance its database though, so the privacy conscious might have a thing or two to worry about.

Tecno’s decision to build EllaClaw as a multi-model hub is one of the smartest software calls I have seen this year. My unit offered access to DeepSeek, Gemini, ChatGPT, Grok, and Meta AI alongside Ella’s own model, all in one dashboard. Claude is conspicuously missing, but everything else is here and free to use (at least during the Beta period). Daily limits are applied on AI use which reset every 24 hours, and you can buy extra credits in case you overshoot. In all my hours of testing, I never needed to purchase extra credits, which means image generation, video generation, and sketch-to-photo tools were all available at no additional cost.

EllaClaw is still being refined, though. The dashboard lagged occasionally, and the AI sometimes took longer to load than felt comfortable. Restarting the app always sorted it out, but it is a reminder that this experience has not fully grown into its ambition yet. Users in certain regions may also need a VPN to get the full experience running, which is worth knowing upfront.

The camera system is built around a 50MP Sony LYT-700C main sensor with OIS, paired with a 50MP telephoto lens offering 3x optical zoom (70mm equivalent) and an 8MP ultrawide. That telephoto is a proper standout for a phone at this price point, and the software leans into it with confidence. You get 60x hybrid zoom, which is mostly digital exaggeration past the 3x mark, but the results between 3x and 10x are still usable in decent light. The main camera performs well across a range of scenarios, especially in good light, and night mode is aggressive without getting too soupy. The front camera is a 50MP sensor with autofocus, which makes a noticeable difference in selfie sharpness compared to the fixed-focus cameras on cheaper phones.

Tecno stuffs the camera app with modes including dual-cam, underwater mode, document scanning, super night mode, and super macro. FlashSnap is the standout, though. It watches your scene and captures the most dramatic moment automatically, so if someone is mid-jump or mid-throw, the phone clicks at exactly the right time without you having to think about it. It made me look like a considerably better photographer than I actually am. Video recording tops out at 4K at 30fps, which is fine but not particularly exciting.

Battery life is one of the phone’s most quietly satisfying qualities. The 6500mAh cell pushed comfortably through two full days of use without needing a charge, which is more than my current flagship iPhone manages. At some point I just stopped thinking about charging altogether, which is the best thing a battery can do. The phone supports 45W wired charging, which is fast enough to feel civilized without being record-breaking.

The display is a 6.78-inch AMOLED panel with a 1.5K resolution (1208 x 2644 pixels, 429 ppi) and a 144Hz refresh rate with LTPO support for adaptive refresh. It is vibrant, sharp, and performs well in low light. The 144Hz refresh makes scrolling and gaming feel smooth, and the high PWM dimming (2160Hz) helps reduce flicker for those sensitive to it. The curved waterfall edges are a design choice I have already aired my reservations about, and this section will not relitigate that argument. It looks great. It catches accidental touches. Moving on.

Speakers are a weak spot, and a noticeable one. There is a single grille at the bottom right, so stereo is off the table, and the audio leans tinny with very little bass to speak of. For a phone this polished everywhere else, it feels like a department that got the budget cut.

Gaming held up well for everything I tried. Tecno’s dedicated gaming software manages frame rates and battery draw sensibly, and the Dimensity 7400 handled casual to moderate sessions without complaint. The 144Hz display helps make fast-paced games feel responsive, and the phone stayed well within comfortable temperature ranges throughout. Nothing I played caused any real issues, thermal throttling never became a concern, and the large battery meant I could game for extended sessions without nervously watching the percentage drop.

Sustainability

Tecno is promising 3 years of Android OS upgrades and 5 years of security patches for the Camon 50 Ultra 5G, which puts it roughly in line with brands like Motorola and slightly ahead of OnePlus, though still behind Nothing’s 6-year security support.That is a meaningful commitment for a phone at this price, especially if you are someone who plans to use the device well beyond the usual two-year upgrade cycle.

Tecno also claims the battery is built for durability, marketing it as a “5-Year Durability Battery” with TÜV certification and a 72-month lag-free guarantee. Whether that holds true in practice is something only time will tell, but the fact that the company is willing to stake that claim suggests they are at least thinking about longevity beyond the usual marketing fluff. The 6500mAh capacity itself helps, because the less frequently you need to charge, the slower the battery degrades. If you are getting two full days of use out of a charge right now, that headroom means the phone should still feel usable years down the line when the cell inevitably loses some of its capacity.

Value

The Tecno Camon 50 Ultra 5G is priced at $420 for the 8GB + 256GB variant (that’s based on its ₹40,000 Indian price, since the phone hasn’t officially launched in the US). For a phone with a 50MP telephoto, a 144Hz AMOLED display, and a 6500mAh battery, that positioning feels competitive in the under-40K segment, especially when you factor in the AI ambitions.

What feels less competitive is the setup experience. When I powered on the phone and began the initial configuration, India was not listed in the countries menu. Hilariously enough, Palestine was available as an option. The world’s most populated country, nowhere on the list. I eventually had to select a different region just to proceed, which immediately felt awkward for a phone launching in India. Later, I also needed a VPN to access EllaClaw, which could have been a software issue tied to my initial region selection, or it could point to broader availability constraints. Obviously this won’t be the case for everyone since mine was a review unit with the EllaClaw beta program probably tied to a certain region. Either way, it is a frustrating first impression for a feature that is supposed to be the phone’s main selling point.

As for EllaClaw Pro and its credits system, Tecno does offer a credit-based structure for premium AI features like image generation and video creation. In my testing, I never hit a paywall or needed to purchase add-on credits, which suggests the included allocation is generous enough for typical use, at least initially. How sustainable that remains over time, or whether Tecno tightens the limits later, is harder to predict. For now, though, the experience feels surprisingly open, which is a rare thing in the AI phone space.

Verdict

The Tecno Camon 50 Ultra 5G delivers a lot of value for $420. The camera is genuinely impressive, with super night mode shots and 60x zoom that feel bonkers for this price range, and the battery life makes it easy to forget about charging anxiety for days at a time. But I am not recommending this phone for its camera, or its battery, or even its design, as much as I enjoyed all of those things. I am recommending it for EllaClaw, because it is the closest I have come to using a phone AI that feels like it was built for actual humans.

EllaClaw is everything Gemini and Apple Intelligence hope to achieve, and a bit more. I did not think I would see a phone that lets me choose the LLM for its AI assistant, swapping between models depending on what I need. I definitely did not expect an AI assistant dashboard to genuinely give me so much insight and value into how I can use the AI, rather than just sitting through a keynote, nodding along to feature lists, and then forgetting half of them the moment I leave the room. Tecno has cracked something here that bigger brands are still struggling with, which is making AI feel approachable, integrated, and genuinely useful instead of intimidating or buried.

The phone has a few tiny flaws that feel manageable if you’re more driven by the AI chops. The speakers are tinny, the curved display catches palm touches, EllaClaw occasionally lags, and the setup process was a bit of a hassle given I needed a VPN to get EllaClaw to work (but that’s just my China-bound review unit). But if you are looking for a phone that shows you what AI on mobile should feel like when it grows up, the Camon 50 Ultra 5G is worth your attention. It is not perfect, but it is ambitious in all the right ways. Google, Apple, and Samsung could surely take notes.

The post Tecno Camon 50 Ultra 5G Review: A $420 AI Phone With Built-in Gemini, ChatGPT, DeepSeek, and Grok first appeared on Yanko Design.

Linux users finally get a real Copilot app, and Microsoft didn't even make it

It's the year of Linux, haven't you heard? You may as well pack up your PC, study your favorite distro, and get ready to evangelize the open-source platform that will run on all systems in the future.

Joking aside, Linux has grown a bit in popularity and Microsoft continues to embrace it. While the tech giant has several apps and projects on Linux, Microsoft has not released an official Copilot app for Linux.

Sure, you could use Copilot on the web. Heck, you could even open up Microsoft Edge for Linux and install Copilot as a PWA (Progressive Web App). But where is the fun in that?

Instead, you could install the unofficial Copilot app for Linux built by Hayden Barnes. The app opens the Copilot web app in a dedicated GTK window and keeps your login session safely on disk. It also integrates with the desktop for autostart, system downloads, app launcher execution, and accessing hardware permissions like the microphone.

Barnes shared the project on X alongside a link to the app's GitHub page.

Many of the unofficial Copilot app's features overlap with using the web version of Copilot since Microsoft's AI tool is the center of the experience. But building the unofficial app as a native GTK application means its developer can deeply integrate system shortcuts, allow it to run quietly in the system tray, and trigger native OS notifications as opposed to relying on browser notifications.

Other benefits include native support for desktop accent colors and system dark themes. Overall, the app looks and feels far more natural on a Linux desktop than a standard browser window, and keeping Copilot isolated prevents it from slowing down if your main browser gets bogged down with dozens of open tabs.

The unofficial Copilot app for Linux is new, so we'll have to use it for a while to determine its long-term stability and performance. The first publicly available release of the app shipped this week.

We have a few systems running Linux spread across our team, so we'll let you know how the unofficial Copilot app performs over time.

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Acer Swift Edge running Linux

You no longer have to use Microsoft Edge or any browser to run Copilot on Linux.

Microsoft filings suggest "around 70%" of its AI revenue is concentrated entirely on OpenAI — which seems rather unhealthy

Microsoft's stocks rallied this past week on accelerating AI growth, but the devil is always in the details.

Over the past month, Microsoft's shares have surged almost 30% following its quarterly filings, which beat Wall Street estimates by a significant margin. Microsoft proved that its AI business is accelerating in growth, and that cash flows remain healthy despite the firm's extensive capital expenditure on new data centers. However, new information suggests that there's still an enormous caveat to this news.

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Analysis from Bloomberg has poured cold water over Microsoft's AI earnings potential. Disclosures from Microsoft suggest that OpenAI accounts for around 70% of Microsoft's total AI-related income, based on projected growth and previous disclosures that relate to revenue derived from OpenAI.

Microsoft reported that Copilot has millions of paid seats in Microsoft 365, and is being gradually adopted by a wide variety of governmental, public, and private sector businesses. But when you tally it against previous disclosures, it shows that GPU and infrastructure consumption specifically from OpenAI still drives between 65 to 70% of Microsoft's total AI business. Training platforms like ChatGPT and simply serving it to customers remains the cornerstone of Microsoft's AI business. That's potentially problematic and comes with a huge amount of risk.

Microsoft Azure is being displayed on a smartphone with a Windows blue screen visible in the background

Azure has turned Microsoft into an absolute powerhouse, but I would argue its AI bets still threaten that. (Image credit: Getty Images | NurPhoto)

On the gaming side, Call of Duty having an off year was enough to drive Xbox's total revenue down by 11%, leading to masses of layoffs. OpenAI, by comparison, is estimated to be losing anywhere between 10 and 20 billion dollars per year, on a comparatively modest $2-5 billion in revenue. OpenAI has a mountain of investors keeping it afloat right now, and Microsoft itself remains one of OpenAI's biggest backers, investing to the tune of billions in cash, infra, compute credits, and other instruments. On the face of it, Microsoft's AI bookings simply represent OpenAI's compute bill packaged as revenue.

It's not unheard of in business. Spotify ran losses for years until eventually becoming profitable (to the tune of billions, I might add). The idea is that you burn through debt, scale rapidly, change user behavior, and create new markets. Then, you lock people in and make them dependent, and start monetizing. Microsoft and OpenAI's other creditors are betting that one day, ChatGPT will become the default — an inescapable cornerstone of computing for billions of people.

But what if that doesn't happen?

What if people end up choosing Claude or Gemini over ChatGPT? What if regulatory scrutiny or public opinion sours ever further? What if elections are won on the promise of blocking new data centers, rather than enabling them?

Twitter screenshot: Sam Altman suggests using ChatGPT to generate podcasts for kids to listen to on the way to school. Alex Hirsch replies

Public perception of AI remains incredibly negative, owing to the damage data centers cause in communities, and the theft and destruction of art and human-created content. (Image credit: Alex Hirsch on X (Twitter))

The disclosures suggest that Microsoft's AI growth is inorganic and revolves almost entirely around training ChatGPT's models. If OpenAI imploded or decelerated, Microsoft would be on the hook for billions in sunk cost and enormous amounts of excess data center capacity.

There's no suggestion of a deceleration, quite the opposite — which is why the stock price has surged. But there's also little reason to believe that this entire segment is even vaguely organic.

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Microsoft is already trying to diversify by training its own "more efficient" MAI models for consumer applications while boosting external enterprise adoption. It's started to devote more attention to its legacy consumer businesses too, namely Xbox and Windows, as neglect therein becomes untenable. But none of this will save Microsoft or its shareholders if the so-called "AI bubble" well and truly does pop.

It'll be interesting to watch how CEO Satya Nadella navigates Microsoft through this somewhat unprecedented era.

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Satya Nadella with Sam Altman at a conference

Microsoft and OpenAI don't see eye to eye.

"It's the kayfabe of a tech industry that really has run out of ideas.": Zitron says Microsoft’s trillion‑dollar AI push is a bubble built on hype, hidden losses, and demand that doesn’t exist

Microsoft's share price has slid 22% in the past year, as investors increasingly cast doubt on the firm's long-term AI strategy.

Artificial intelligence has been billed as the next coming by Big Tech, with everyone from Amazon to Google trying to figure out how to leverage the expensive technology to generate profits. The problem is, nobody is even close to having an answer.

Generative AI is incredibly costly to run, and the return on investment is unclear at best. Many companies are starting to discover that, in fact, it's cheaper and more effective to simply use human labor. Companies that previously laid off engineers in favor of AI models later found themselves crawling back to those fired, and others have put large restrictions on token expenditure as returns remain elusive.

I saw a clip on CNBC from Ed Zitron, creator of the Where's Your Ed At newsletter and host of the Better Offline podcast recently. It summarized Microsoft's AI conundrum in pro wrestling terminology — which appealed to my simple brain. His full analysis is anything but simplistic, though. It speaks to the hard reality companies like Microsoft are facing: Is any of this actually worth it?

Zitron describes the challenges of companies like OpenAI and Anthropic joining SpaceX in going public, describing how the company's financial realities betray the almost demented hype around them.

"They'd be the first to be this bad, other than WeWork, and this is so much worse than that. OpenAI burned $20.9 billion dollars in 2025. The problem with these companies is ... their margins are getting worse. Their costs increase linearly with their revenues. There's no proof they can improve their margins. No amount of specialist silicon will bring these costs down.

"We're at a point where OpenAI is pushing their IPO to 2027 because they couldn't get a trillion-dollar valuation. People are wising up to the problem of generative AI: there's not really a business there."

Zitron posits that none of the hyperscalers and companies like OpenAI and Anthropic "encourage waste," while potentially stealing ideas generated by companies using their models, citing Claude Design and Figma. Indeed, the only public company that seems to be flying on its AI hype right now is Google. I would argue that's less to do with innovating, and more because they've found a way to steal revenue from human creators via Gemini's Google Search summary box — instantaneously creating infinite, dynamic (albeit hallucinating) ad-scaling opportunities.

This wholesale content theft is not as readily available to OpenAI, Anthropic, or Microsoft. Google Search remains the dominant tool for browsing the web, and thanks to Chrome and Android, Google owns the entire stack here.

Microsoft Fairwater Datacentre

Microsoft's data centers have come under increasing scrutiny for pollution, noise, electricity bill inflation, and water depletion. (Image credit: Microsoft)

Microsoft very much does not own the entire stack. It barely owns a stack at all here.

Microsoft's partnership with OpenAI is on the verge of collapse, pending contractual obligations that will expire over the next few years. It's already ditching OpenAI's pricey models in favor of supposedly more-efficient MAI home-grown models in some products. Microsoft Copilot is already barely used, despite being baked into Windows. It languishes at lower than 10% of the market, according to estimates, far behind the likes of Claude, Gemini, and ChatGPT.

CEO Satya Nadella's decision to give up on Windows Phone and internal Android projects has precluded Microsoft from any form of mobile play here. Mobile is where all new consumer tech will thrive, whether or not it's AI or something else. The historical open nature of Windows prevents it from reaching consumers with any of its products. Nobody uses Bing, Edge, or Copilot, and it's a result of Microsoft's wholesale lack of foresight.

Microsoft bet that it could provide the underlying infrastructure instead, and has spent monstrous amounts of CapEx on data centers in the past few years. But Zitron posited in a large report from May that it might be exaggerating, or perhaps even outright lying, about its data center expansion plans. Indeed, there's little evidence that Microsoft has actually expanded its capacity since 2024. Zitron tracked a variety of Microsoft-announced data center projects and found them in various states of incompletion.

Is this a signal that there's no real demand? Is Microsoft intentionally stalling and dragging out construction because it knows there's no actual ROI incoming from these projects?

Satya Nadella with Sam Altman at a conference

Microsoft's OpenAI bet was called the smartest investment it had ever made a few years ago. On paper it still is. Imaginary, fantastical paper, at least.

AI-adjacent stocks, including SpaceX, Oracle, and Microsoft, have all been in near free-fall decline recently, as investors seem to bet that there's gross over-extension going on. Meta is also reportedly spinning up a cloud company to try and offload excess compute it had previously invested in AI specifically, despite not having any actual demand.

"The only reason Big Tech is investing in this is that they've run out of hypergrowth ideas," Zitron said, on the general AI industry. "They don't have a next iPhone, they don't have a new Google Search. They've put over a trillion, with trillions more to come, into a kind of dead-end industry. When that ends, they'll have to admit that they don't have anything else."

"In the future, I see [AI] as a boring hardware-based business, kind of the Oracle licensing hardware model. I think this is a $10 to $30 billion TAM [total addressable market] industry, pretending to be a $1 trillion industry."

"Everyone is just kind of pretending. It's the kayfabe of a tech industry that really has run out of ideas."

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Microsoft Copilot on a red background

Maybe AI actually isn't the future?

Bill Gates says AI may replace a lot of jobs, but it will never replace athletes because no one wants to watch computers play

Over the past few years, we've seen generative AI cement its footprint in the workplace and even take over redundant, repetitive tasks entirely. Last year, Anthropic CEO Dario Amodei claimed that AI was on the verge of slashing up to 50% of entry-level white-collar jobs, making it harder for Gen Z to enter the job market.

Even Microsoft's AI CEO, Mustafa Suleyman, recently cleared up the intent of his statement that AI would eliminate white‑collar jobs in less than 18 months. The executive indicated that the statement was blown out of proportion, further clarifying that he meant AI would augment repetitive, mundane tasks — not replace humans.

In 2025, Microsoft co-founder Bill Gates indicated that AI would replace humans for most things. However, the philanthropic billionaire claimed that it'd be mostly up to humans to decide how they interact with the next-gen technology.

The executive previously indicated that biologists, energy workers, and coders would survive the AI revolution, citing that their complex nature constantly requires human intervention.

Incidentally, Gates may have just identified a fourth profession that could be safe from AI replacement — athletes. During an appearance on The Tonight Show with Jimmy Fallon, he suggested that while AI might take over many human tasks, no one would want to watch computers playing baseball (via LADbible Group).

With that in mind, it’s safe to say we’ll continue to savor the moments when our favorite players like Arsenal’s right winger Bukayo Saka grace the pitch with their talent and keep us entertained, even now during the World Cup season.

As AI gains broad adoption and becomes more prevalent, it will undoubtedly reshape how we work or even redefine what the term means. Last year, a study by Microsoft Research highlighted 40 job roles that are at risk of extinction in the age of AI, including customer service representatives, interpreters, technical writers, editors, web developers, and more.

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Microsoft co-founder Bill Gates speaks to the press.

Microsoft co-founder Bill Gates speaks to the press.

Microsoft and OpenAI are still playing the fair use card — even as ChatGPT and Copilot fuel the "death knell for local journalism"

Microsoft and OpenAI are no strangers in the corridors of justice, particularly when it comes to copyright infringement disputes. It is well established that advanced AI models such as Microsoft Copilot and ChatGPT rely heavily on vast amounts of online content, including material from outlets like Windows Central, for training purposes.

In court proceedings, Microsoft and OpenAI have consistently argued that copyright law does not explicitly prohibit the use of online content to train AI models. However, with Google racing ahead by embedding AI directly into search, the industry finds itself at a tipping point. As traditional outlets struggle to compete, many are shutting down, leaving thousands of experienced journalists in the lurch.

OpenAI CEO Sam Altman has openly acknowledged that building tools like ChatGPT would be virtually impossible without relying on copyrighted material. That admission now looms large as a coalition of publishers, representing nearly 400 newspapers, has filed a lawsuit against Microsoft and OpenAI in the U.S. District Court for the Southern District of New York, accusing them of copyright infringement (via Bloomberg).

The complaint indicates that the two companies are unlawfully using their content to develop and train the AI chatbots without consent or compensation. According to the complaint:

"Defendants systematically and secretly crawled the Publishers’ websites—including content behind paywalls and other access restrictions—and copied the Publishers’ articles, stories, and other original works onto their own servers without authorization."

The publishers argue that the companies have generated billions from stealing their work and have not paid a dime for it. They are now seeking statutory damages and injunctive relief, citing copyright infringement and violations of the Digital Millennium Copyright Act.

Speaking to Bloomberg, OpenAI spokesperson Drew Pusateri indicated:

“Our models empower innovation, are trained on publicly available data, and are grounded in fair use."

“It would be inequitable if at the end of this you have a resolution that only benefits the largest players in the marketplace and not the people who are doing hard work reporting on things that frankly very few outlets still cover in America today,” former New Jersey Attorney General Matthew Platkin added.

The publishers argue that the AI revolution could be a "death knell for local journalism" if these AI firms aren't held accountable and continue to steal content without compensation.

Elsewhere, a separate 2024 report suggests that AI companies, including Anthropic, Google, and OpenAI, had hit a wall due to a lack of high-quality content for training, which prevented them from developing advanced AI models.

This opens up a broader discussion about the future of AI models if Google is hell-bent on integrating AI into search, after it has practically run every publication into the ground.

The dead internet theory, in particular, comes to mind. It suggests that prolonged exposure of large language models to low-quality training data negatively impacts accuracy, comprehension, and thought process. What's worse is that the phenomenon could only be less than 3 years away if recent studies are anything to go by.

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ChatGPT and Microsoft Logo

ChatGPT and Microsoft Logo

Satya Nadella says AI should benefit everyone — not just a few powerful firms "eating up the economy”

Microsoft CEO Satya Nadella warned that AI must demonstrate real‑world value or risk losing public support. His comments came amid mounting community backlash over the technology’s heavy demand for electricity and cooling water to power data centers, although Microsoft and NVIDIA have seemingly found a fix.

Speaking to The Wall Street Journal recently, Nadella echoed his earlier stance, stressing that leading players in the AI industry must advance the technology in ways that deliver the greatest public benefit.

There’s growing concern around AI, particularly when it comes to security, privacy, and even its impact on jobs. "You can't say, hey, all white-collar jobs are gone and this could even be a weapon, and we will use all the power to build data centers," Microsoft CEO Satya Nadella noted.

Perhaps more interestingly, the executive called out key investors in the AI landscape who see the technology primarily as a tool to cut jobs and reduce operational costs. He indicated that this would be the wrong way to look at the technology.

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Instead, he recommended that AI should be viewed as a tool designed to help skilled workers better leverage their capabilities. He further painted a picture where AI tools and human capital co-exist in the same space, a phenomenon he referred to as "token capital."

While the executive claimed that it'd be a recipe for how companies can leverage both AI and workers simultaneously, he admitted that: "it's a lot of change management, it's a lot of displacement, but there is a path."

Nadella indicated that leveraging AI and humans at the same time at work can create a "continuous learning system." He indicated that companies in the future could be characterized by the "tacit knowledge that they contain from both sources."

The executive acknowledged that the idea might face public resistance but emphasized that it would be up to corporations to convince people of the economic opportunities AI could unlock in the future.

Over the past few years, key investors and leaders in the AI landscape have shared several theories, highlighting how the technology could reshape work. Last year, Anthropic CEO Dario Amodei claimed that AI was on the verge of slashing up to 50% of entry-level white-collar jobs, making it harder for the next generation to enter the job market.

No amount of just narrative is going to do it because where we are now, we have to sort of walk the walk. We now have to do the hard work in earning the social permission.

Microsoft CEO, Satya Nadella

Interestingly, Microsoft's AI CEO, Mustafa Suleyman, recently cleared up the intent of his statement that AI would eliminate white‑collar jobs in less than 18 months.

The executive indicated that his statement was widely misconstrued. Rather than replacing humans entirely from work, he indicated that AI would be used to augment repetitive and mundane tasks.

At the same time, Microsoft CEO Satya Nadella wants AI agents to be treated like human employees. It'll be interesting to see how AI is adopted in the workplace, and whether organizations choose to view the technology as a supplement rather than a replacement for the workforce.

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Microsoft CEO Satya Nadella speaks during an event celebrating the 50th Anniversary of Microsoft on April 4, 2025 in Redmond, Washington.

Microsoft CEO Satya Nadella speaks during an event celebrating the 50th Anniversary of Microsoft on April 4, 2025 in Redmond, Washington.

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