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Google’s Gemini assistant is a fantastic and frustrating glimpse of the AI future

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Google’s Gemini assistant is a fantastic and frustrating glimpse of the AI future

I don’t know how to say this, but sometimes the emotional labor of opening another app on my phone and typing in some text is just too much.

I need to gather details about an Airbnb reservation from two different confirmation emails and send them to my friends. Or I want to figure out when to leave this coffee shop to get home by a certain time via bus. These aren’t hard things to do, but they require enough tapping around different apps or tabbing between screens that I start to think, you know what? I don’t really need to send that email yet. I’ll just wing it and hope for the best with the bus schedule.

These are the jobs I would like AI to take from me. AI, including Google’s new Gemini assistant, isn’t quite up to it yet. But Gemini feels like a preview of what that AI future could look like — provided you’re well entrenched in Google services.

Gemini: the chatbot formerly known as Bard.

Gemini can replace the standard Assistant.
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Gemini is Google’s AI chatbot, formerly known as Bard. It’s an app you download from the Google Play Store, but it really it’s a piece of the Google app that’s probably already on your phone if it runs Android. Once it’s up and running, you can replace the standard Google Assistant with Gemini and invoke it in all the same ways you would the old Assistant. But instead of just setting timers and telling you the weather, it can do all the stuff Bard did — answer complex questions, make suggestions, and read your email, if you let it.

That last part is important. Gemini isn’t nearly as good of a conversationalist as ChatGPT, but its ability to hook into Gmail, Google Maps, and Google Docs is what makes it really interesting.

I asked it to summarize the details of that Airbnb reservation, and it did — grabbing info from two different emails and putting it together in a neat little bullet point list. Then I asked it to draft an email to my friends with all of the details. Most of the time when I ask AI to write an email or text, the results are too embarrassing to actually send to anyone. To my great surprise, this one was fine.

It really doesn’t sound like much, but it’s the first time I’ve been really impressed with AI as a tool to help me get things done. Maybe I lack imagination, but I get bored with ChatGPT pretty quickly; there’s only so many times I can brainstorm business plans for a retro arcade or ideas for vacations. What I actually want is help with the pile of digital crap I’m constantly wading through just to live my life.

When Gemini comes up with something for me, like a recipe or a packing list, I have somewhere to put it

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Gemini isn’t that thing yet, unfortunately. I think it’s more useful than the regular Assistant by a mile, and there’s a lot I like about it now. There’s the little G icon at the bottom of every answer it gives you, which allows you to search Google and fact-check Gemini’s work. Since AI has a tendency to make stuff up occasionally, that’s kind of important.

I also appreciate that when Gemini comes up with something for me, like a recipe or a packing list, I have somewhere to put it. Gemini can export answers directly to Google Docs or Gmail. When I get the same kinds of things from ChatGPT, they just feel like they’re floating around in space until I copy and paste them somewhere. They’re saved to your history, but you know what I mean.

Gemini isn’t great at picking up on context, though. I told it I was planning to ride my bike to the next neighborhood over and asked it to suggest some things to do once I got there. It spit out a whole wall of text with suggestions that included, I kid you not, scuba diving, seeing live theater, and gambling at the casino. Technically, you can do all of those things in Burien, Washington, but not on a whim in the middle of the day. They’re also not places I would just casually roll up to on my bike.

Gemini includes a feature that cross-checks its answers with Google results.

Gemini doesn’t seem to understand the difference between planning a vacation and taking a casual bike ride.
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In situations like this, Gemini feels like a little “let me Google Maps that for you” machine. ChatGPT’s voice chat, on the other hand, suggested I visit a couple of parks or a coffee shop. It also asked me if I had anything else in mind for my visit, and when I said I might want to buy a book, it suggested a specific bookstore. So thoughtful! However, later on, Gemini’s Google Maps integration proved to be more useful: I asked for a bus route home, and Gemini gave me the right route, while ChatGPT would have had me waiting for a bus that only arrives every 30 minutes.

Talking to Gemini feels like talking to a page of Google Search results. If you say, “Hey Google” and ask it a question, it’ll speak the response to you. Otherwise, you’re just reading text. And it’s often a lot of text; this assistant could use an editor. I’m also surprised that Gemini can’t access my calendar, but there’s currently no extension for it like there is for Gmail and Docs. If I want to add something to my calendar, I have to switch back to the regular Assistant. At that point, I’ll just make a damn calendar event myself.

Talking to Gemini feels like talking to a page of Google Search results

A decade ago, smart assistants like Siri and Alexa were pitched as the next big way of interacting with our devices, but across the industry we’ve seen their progress stall out. Right now, Gemini is an entirely optional assistant. But it’s also easy to see how it might eventually replace Google Assistant as the default, especially since Google has been scaling back Assistant features in recent history. Maybe we just reached the limits of what non-AI voice assistants can do reliably.

For me, swapping Gemini for the usual Google Assistant feels like a low-stakes bet. I trained myself long ago not to use voice assistants because they never seem to be able to do the thing I want them to. Gemini can still set my timers and tell me if it’s going to rain, so why not bet on something a little smarter to help me with my day to day? Hopefully it learns a few lessons from ChatGPT along the way. In the meantime, I have to get to my scuba diving lesson.

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Meta made its own AI-generated clickbait news feed

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Meta made its own AI-generated clickbait news feed

Facebook has long been filled with feeds of clickbait articles. Now, Meta is making its own clickbait articles with AI.

The standalone Meta AI app now has a “For You” section that populates a list of clickbait-style stories for you to read. But the topics, images, and text are all AI-generated — and as questionable as you’d expect from AI-created works.

The Meta AI app first launched in April 2025 with its focus on a public “Discover” feed that showed AI-generated images and conversations from other users (who frequently seemed unaware that they were being made public). That’s all disappeared. The app now has a standard chatbot interface, plus a For You page that’s been present for at least a few months, displaying a stream of suggested article prompts that, when tapped, generate entire “stories.”

When targeting me, a reporter based in London, the prompts were aggressively British, involving topics like tea, manners, pubs, royals, football — sorry, soccer — and, naturally, the art of queuing. Suggested stories included “A royal butler finally settled the milk first debate” (the tea goes first, apparently), “The psychology of joining a queue without knowing why,” “The anatomy of the devastating British tut,” and “Inside the extreme sport of visiting every UK pub.” Some made even less sense, like “When a bit of a pickle means total disaster.”

My colleague, meanwhile, appears to have been placed firmly within the luxury watch aficionado bracket by the algorithm. His feed suggested stories called “My fake Rolex experiment” and “The brutal math behind the Rolex waitlist illusion.”

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The AI-generated text read like puffy filler, offering little substance beyond repeatedly restating the premise of the prompt. Sourcing was also nonexistent.

I tried to track down where these “stories” may have originated. The royal butler tea story appears to trace back to a 2018 BBC Three comedy series called Miss Holland, which follows a fictional beauty queen from a small Dutch town as she travels to Britain and learns “how to be posh and classy” from real former royal butler Grant Harrold. The “Rolex experiment” story, meanwhile, appeared to be a complete fabrication, generated in our chat box as a first-person narrative without a byline, after a bit of usual whirring that happens when a chatbot is generating. Other stories leaned on vague references to unnamed experts or fictional research.

When I tapped the same cards more than once, the generated stories stayed within the rough bounds of the prompt and all were clearly versions of the same thing, but slightly different. Typing the same headline into a separate chat produced a completely different response. The clearest giveaway came from my chat history. It showed the hidden, suggested prompts that were supposed to trigger the generation of articles. One began:

“You are a helpful conversational assistant. The user is responding to a proactive feed card that was shown to them. The card context below provides background on what prompted the user’s message,” followed by what appeared to be references to internal instructions, information, and metadata.

1/5

A sampling of “articles” generated by the Meta AI app.
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The articles had images attached. A lot of these were harmless — bland mush of cartoony people, landscapes, and food. But some depicted real people, including public figures, and were riddled with errors. “Who really pays for the royal family in 2026?” featured two Queen Elizabeth IIs, despite her death several years prior and her existence as only one person.

Around the Queen clones were people who seemed to be approximations of other royals: a vaguely Princess Kate-ish face to the left, a strange attempt at Prince William at the back, and a sort-of King Charles in the middle who bore an exaggerated resemblance to his late father. Other images had usual AI tells like impossible hands and bodies leaning at unnatural angles. One image actually turned out to be a GIF of an older couple dancing and making arm movements no human body could make.

It wasn’t clear whether the app should be able to generate AI images of real people in accordance with Meta’s own, rather opaque rules, but it was. The company has previously said it wants “people to know when they see posts that have been made with AI” and that it automatically adds labels to some user-generated content when AI is detected. Despite this, there was no obvious indication or label in the feed or articles that any material was AI-generated.

Meta declined to answer many of my questions about the feature’s purpose, whether the company considers the output news or fiction, what safeguards are in place, and whether images of real people and public figures comply with its own AI-content policies.

“The goal is to suggest what’s most relevant to you – such as fitness advice, meal plans, or other insights – before you even have to ask.”

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“We’re testing a daily feed that proactively shares tips, content, and recommendations tailored to your interests,” Meta spokesperson Tracy Clayton said in a brief statement. “The goal is to suggest what’s most relevant to you – such as fitness advice, meal plans, or other insights – before you even have to ask.”

Clayton later sent a nearly identical “updated” statement, mysteriously removing the word “proactively.”

A third statement from Clayton followed later in the day: “This was a test for a limited number of users and it will be deprecated. Meta has no plans to move forward with this feature.”

This leaves me with additional questions. How was this test limited if, besides me, at least three of my colleagues at The Verge had access to the same feature serving AI clickbait? What did “proactively” even mean? And, of course, who asked for any of this in the first place?

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A wheeled robot may beat humanoids into your home

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A wheeled robot may beat humanoids into your home

NEWYou can now listen to Fox News articles!

A new wheeled robot could help people at home before many humanoid robots are ready for everyday use. That is the big idea behind Hello Robot’s Stretch 4. While many companies are developing human-shaped robots that walk, balance and try to act like us, Stretch 4 takes a different route. It rolls.

That may sound less exciting at first. However, inside a real home, wheels may make more sense than legs. Homes have rugs, cords, pets, narrow hallways, tight corners and furniture that always seems to get in the way.

A robot that can move carefully through that mess and reach for useful objects could become more helpful than one that looks impressive in a social media video.

HOME ROBOT AUTOMATES HOUSEHOLD CHORES LIKE ROSIE FROM ‘THE JETSONS’

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Stretch 4 uses a lifting column and extendable arm to reach objects at different heights around a home or workplace. (Hello Robot)

Stretch 4 focuses on safe movement, reaching and practical assistance in homes and workplaces. That could make it one of the more realistic ways to build a robot that actually helps people where they live.

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What is Hello Robot’s Stretch 4?

Stretch 4 is a mobile robot designed to help indoors. It looks more like a slim rolling assistant than a humanoid robot. That design choice is intentional. The robot has a wheeled base, a lifting column and an arm that can reach for objects. It is built with tools for mapping, navigation, self-charging and VLM grasping demos.

Hello Robot presents Stretch 4 as calibrated, portable and deployable. However, its technical sheet also says it is currently intended for research, development and laboratory use. Researchers and enterprise customers can buy it now. The company also plans home pilot deployments. That real-home testing is important. A staged demo can look great online. A hallway with a rug, a laundry basket and a dog is a much better test.

HUMANOID ROBOTS ARE GETTING SMALLER, SAFER AND CLOSER

Why this wheeled home robot skips legs

Humanoid robots get plenty of attention because they look familiar. They also make it easy to imagine a machine moving through your home like a person. However, legs add risk and complexity.

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A bipedal robot has to balance. It has to manage many moving parts. It also has to avoid falling near people, furniture and pets. Stretch 4 takes a simpler route. It uses wheels.

That choice makes sense for many homes, especially homes adapted for people with mobility challenges. If someone already uses a wheelchair, the home may already work well for a robot that rolls. So the question becomes pretty simple. Why make a robot walk if rolling works better?

WHEELED WONDER ROBOT DOG SHOWS OFF CRAZY DANCE MOVES IN ALL KINDS OF TOUGH TERRAIN

How Stretch 4 moves through tight spaces

One of the biggest upgrades in Stretch 4 is its omnidirectional base. That means it can move in any direction without turning first. That could make a big difference in tight rooms.

Think about a robot trying to move near a bed, chair, kitchen island or wheelchair. A machine that can slide sideways may be easier to control. It may also be safer to position.

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Hello Robot spent months developing this new base. The company used newer omnidirectional wheel technology that came from powered wheelchairs. That connection fits the mission. A home assistive robot should borrow from designs that already help people move.

THE NEW ROBOT THAT COULD MAKE CHORES A THING OF THE PAST

Why Stretch 4 uses stronger sensors

Stretch 4 also gets a more advanced sensor setup. Earlier versions had a smaller moving head. Stretch 4 now uses lidar and cameras with a wider field of view. It also has a wrist-mounted depth camera to help with reaching and grabbing. Those sensors help the robot understand what is around it. They also help it avoid obstacles and handle objects with more care.

Hello Robot appears to be choosing richer data over a cheaper camera-only setup. That could help the robot work more safely in homes, where things change constantly. A cord may cross the floor. A rug may bunch up. A threshold may get in the way. A useful home robot needs to see enough to react.

Stretch 4’s sensor-packed head helps the robot see its surroundings as it navigates tight indoor spaces. (Hello Robot)

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Why human control still plays a role

Stretch 4 includes autonomous features, but Hello Robot keeps a human involved. That can mean direct control. It can also mean a person supervises while the robot handles certain actions on its own. That approach feels realistic for home care.

Fully autonomous home robots still face a tough road. Homes are personal, unpredictable and often cluttered. People also need time to trust a machine that works near them every day. With Stretch 4, a person can stay involved. That could make early home use safer and more practical.

Who Stretch 4 could help first

Stretch 4 may have its strongest early impact with people who have severe mobility impairments. That is where a home assistive robot could offer real value. Picking up a dropped item can become a big deal when someone has limited movement. The same goes for moving an object across a room or reaching something on a shelf. Small tasks can affect independence.

Hello Robot has worked with Henry Evans, who is paralyzed and cannot speak. Evans uses a computer to control robots and has tested assistive robots in his home for years. His view cuts through the hype. For someone who cannot walk, a robot with legs may offer little benefit. A stable wheeled robot may do the job better.

Why safety could decide the home robot race

Safety may decide which robots actually make it into our homes. A robot in a factory works in a controlled space. A robot in your home works near people, pets, furniture and medical equipment. That raises the stakes.

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Stretch 4 includes safety features such as force limiting, collision avoidance, tilt avoidance and a dedicated runstop button. A humanoid robot faces a harder problem. If it loses balance or stops suddenly, it could fall. That creates a real concern around older adults, caregivers and people who cannot move quickly.

That risk may explain why a less flashy robot could reach homes sooner. A robot that helps safely beats a robot that looks cool on video.

How much does Stretch 4 cost?

Stretch 4 costs $29,950. That is a lot of money, especially if you are thinking about it as something for the average home. However, this version is not aimed at everyday folks just yet.

Hello Robot says Stretch 4 is currently only certified for laboratory and research use while the company works toward additional certifications. The company also notes that some purchases may be restricted under the DoD 1260H designation, depending on the use of certain government funds.

For now, Stretch 4 is more likely to appeal to researchers, care organizations and pilot programs that want to test what a wheeled robot can actually do.

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BERKELEY LAUNCHES A LIGHTWEIGHT OPEN-SOURCE HUMANOID ROBOT

Those early deployments could help Hello Robot improve the system before a future version reaches our homes.

What this means to you

The first truly helpful home robot may look nothing like an actual person. It may roll into the room. It may use one arm. It may look more like a tool than a character from a cartoon. That could all be a good thing.

A home assistive robot should help with real tasks. It should move safely, reach carefully and work in the spaces people already use.

For families caring for someone with limited mobility, that could become meaningful. A robot that helps someone grab an item or complete a simple task could support more independence at home.

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For the rest of us, Stretch 4 is a reminder that the first useful home robot may not be the one that looks the most human. It may be the one that can safely help with the small tasks that make daily life easier.

Kurt’s key takeaways

Stretch 4’s wheeled base and low-reaching arm show why rolling robots may work well in real homes. (Hello Robot)

Stretch 4 will not win a robot beauty contest. It will not walk through your house like a person. It will not look like the humanoid robots taking over social media feeds. Yet it may be closer to what you actually need. Hello Robot seems focused on a more grounded goal: build a robot that can help safely inside real homes. That may sound less exciting than a humanoid helper. However, it could mean far more to someone who needs daily help. And if Stretch 4 proves itself in homes, humanoid robot companies may have to answer a tougher question.

Would you rather have a robot that looks human or one that can safely help you at home? Let us know by writing to us at Cyberguy.com

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More than a decade later, the team behind N++ is back with a multiplayer sequel

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More than a decade later, the team behind N++ is back with a multiplayer sequel

Back in 2015, the two-person studio Metanet released N++, a brutally hard 2D platformer that was a decade in the making, building off of previous releases dating back to the freeware Flash title N. At the time, cofounder Raigan Burns issued some famous last words: “We hope it’s not another 10 years before we come up with a game.” But now here we are, more than a decade later, and N is getting another sequel. And this time the focus is on multiplayer.

The new game is called, absurdly, N Plus Infinity Times Two. Whereas N++ was meant to be the ultimate single-player version of the N concept, this game is described as “the ultimate virtual couch party game with a low skill floor and no skill ceiling.” That means the same slick, acrobatic platforming action and gorgeous graphic design-inspired visuals, but now built around playing competitively or cooperatively with pals across a handful of different modes. It’s launching on the PS5, Xbox, Switch 2, and PC at some point in 2027.

The duo at Metanet was up to a few different things over the last 11 years. In addition to uprooting from Toronto to Montreal, they’ve been prototyping ideas for a few potentially bigger projects, and last year released a 10-year anniversary update for N++. But then, “We started getting the ‘let’s take another crack at it’ bug in 2022,” Burns tells The Verge.

The studio operates in an unusual way, at least compared to most of the game industry. Despite having two hits in N+ and N++, Metanet hasn’t grown or scaled up in any way. And the reason comes down to the way they make games: It simply takes a lot of time to find a game idea that’s worth pursuing as a commercial project. “We’ve resisted doing something that would compromise our ability to keep iterating and prototyping until something good shows up,” says Burns.

“It’s important to feel that magic,” cofounder Mare Sheppard adds. “That’s what’s compelling about making games. That’s when we know that we’re doing it in a way that’s right for us.” Burns has a clear analogy for how they work: “We like being in a band. That’s fun. Being in a lot of meetings and doing a lot of managing: not fun.” This philosophy seems especially prescient given the state of the games industry, where even the biggest hits operate in a way that’s clearly unsustainable.

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“We like being in a band. That’s fun. Being in a lot of meetings and doing a lot of managing: not fun.”

In the case of N Plus Infinity Times Two — unfortunately I can’t think of a good way to shorten that title — the spark came in part from watching how younger players interact with games. Even when they’re playing solo, kids are typically still chatting with friends on their phones, essentially turning everything into a multiplayer experience. Burns and Sheppard wanted to find a way to marry that idea with the couch co-op experiences they grew up on, which led to revisiting the N concept but with a multiplayer spin.

The two describe making N++ as a grueling experience. If you think the game’s levels are hard, just imagine having to playtest them over and over. Part of the excitement about N Plus Infinity Times Two wasn’t just finding a spin on the formula that would be fun to play, but also to develop. “This one really feels like we’re having fun,” says Burns. “We’re really fluent in this one instrument. So now the fun challenge becomes playing new styles of music we’ve never played before, but with this thing we’re really comfortable with.”

Image: Metanet Software

As creative industries from games to Hollywood become increasingly homogenous, Burns also believes that there’s something important about doing work that’s distinct, even if it means revisiting a previous idea, like through the multiple versions of N. It’s similar to titles like Hades II and Silksong: indie-developed sequels that iterated a core concept, but with a fresh angle that made them more than a by-the-numbers follow-up. “Being yourself is more fun and exciting anyways,” Burns explains. “But I honestly think it’s more commercially viable to do something only you can do, because then you have no competition.”

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As for what’s next after N Plus Infinity Times Two, the pair obviously aren’t revealing anything just yet. There are a few bigger 3D game ideas kicking around, but those would necessitate some of that scaling up that the studio has so far avoided. What they won’t close the door on, however, is coming back to the idea of N again at some point in the future.

“If we can do something that expresses something new, or lets us see things in a different way, or we get a different perspective on what this game is or how to play it, that’s exciting,” says Sheppard. “I think we no longer think this is definitively going to be the last one. We’ve abandoned that idea. It doesn’t have to be.”

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