Tag Archives: Artificial Intelligence

The AI Music Device That Finally Asked Artists First

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Most of us are passive music listeners now. We scroll, press shuffle, half-hear a song while doing something else entirely, and let algorithms decide what comes next. That’s not really listening, is it? IMAGO, a deep listening device created by designers Domenico Di Paolo and Kieran Feechan at Central Saint Martins, is taking direct issue with that kind of relationship with music and with the AI systems that have quietly normalized it.

The device is designed for a domestic setting, which is already an interesting choice. Home is intimate. Home is where you actually sit with things. By placing IMAGO in that kind of environment, Di Paolo and Feechan are deliberately steering users away from passive consumption and toward something more deliberate, more physical, more present. The design encourages bodily engagement with sound, not just background ambience you forget about before the track even ends.

Designers: Domenico Di Paolo and Kieran Feechan

But the more pressing issue IMAGO raises isn’t about listening habits. It’s about data. Most AI music systems today are trained on enormous datasets of songs scraped from the internet, with little or no compensation to the artists whose work feeds those models. It’s a system that benefits everyone except the people who actually made the music. IMAGO runs differently. It operates locally and uses artist-trained models, meaning the AI at its core was built with consent, not convenience.

That distinction matters more than it might initially seem. The conversation around AI and creative theft has been growing louder for years now, and for good reason. Artists, musicians, writers, and illustrators have spent considerable energy sounding alarms about models trained on their work without permission, without pay, and often without acknowledgment. What Di Paolo and Feechan have done is embed that ethical position directly into the design of an object. Not as a tagline. Not as an ethical framework document buried on a website. As the thing itself.

It’s a quietly bold position to take. Industrial design has always had the ability to make abstract ideas tangible, and IMAGO does exactly that. It takes the ongoing debate about AI ethics and turns it into something you can hold, operate, and sit with in your living room. The choice to run locally rather than in the cloud also carries weight. Local operation means no data is being siphoned off somewhere, no behavior tracked, no listening habits packaged and sold. Just you, the device, and music that an artist knowingly contributed to the model.

Central Saint Martins has consistently produced designers who treat objects as arguments, and this is clearly one of them. IMAGO feels less like a product pitch and more like a provocation, a physical question mark placed in front of an industry that has been moving too fast and asking too little. What if the default model for AI creativity wasn’t extraction? What if consent was the starting point instead of the afterthought?

I won’t pretend these questions are new. But packaging them this clearly, this beautifully, in something that functions as both a design object and a listening experience? That’s genuinely hard to do. Di Paolo and Feechan have managed it.

Whether IMAGO ever reaches mass production is almost beside the point. Its real value lies in what it models: a blueprint for how AI-powered design could look if we collectively decided that the people whose work trains these systems deserve a seat at the table. The device won’t fix the music industry’s complicated relationship with artificial intelligence on its own, but it makes the alternative feel possible and, more importantly, desirable.

The best design objects tend to do that. They don’t solve problems so much as they reframe them, make them feel answerable rather than overwhelming. IMAGO does that well. It asks whether deep listening and ethical AI can occupy the same space, and then it shows you what that space might actually look and feel like. That’s a harder question than most devices bother to ask.

The post The AI Music Device That Finally Asked Artists First first appeared on Yanko Design.

Forget Humanoids: Eno Might Be the Robot We Actually Need

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The robot race has been moving in one direction for a while now: two legs, a head, and a shape that clearly spent considerable time studying what a person looks like. It’s a logical instinct. Factories, hospitals, and homes were all designed with human proportions in mind, so a robot built like a human should, theoretically, slot right in. But a growing argument exists that this whole approach might be overthought, and Genesis AI’s new Eno robot is making that case louder than most.

Unveiled this week, Eno is the debut robot from Genesis AI, a San Carlos-based startup that quietly raised $105 million in seed funding and spent that time building something genuinely different. Eno doesn’t walk. It rolls. Its body is a minimalist, articulated tower rising from a wheeled base, with no face and no head in sight. The form adjusts its height and reach as needed, folds down for storage, and carries a pair of proprietary dexterous hands designed to move with the kind of precision and range that human hands are capable of. The result looks more like a sleek industrial sculpture than any robot you’ve seen at a tech keynote.

Designer: Genesis AI

That feels completely intentional. Genesis AI’s head of design, Daniel Hundt, has said that Eno was built by asking a single question first: what does the robot actually need to be? The answer stripped away everything decorative and kept everything functional. No face, because a face isn’t a prerequisite for doing work well. No legs, because legs add cost, complexity, and a surprising number of ways for something to go wrong. What remained was a form built around capability, not aesthetics trying to pass as capability. That’s a meaningful distinction in an industry that sometimes confuses the two.

Eno runs on GENE, Genesis AI’s proprietary robotics-native AI foundation model, and the two were developed together as a single integrated system. This matters more than it might initially seem. A lot of robots in this space are essentially off-the-shelf AI bolted onto hardware that wasn’t designed with it in mind. GENE and Eno were built to complement each other, which means the robot can reason through multi-step tasks, adapt when conditions change, and plan across long time horizons rather than just responding to simple, pre-defined commands. That kind of sustained, adaptive thinking is what separates a useful robot from an expensive demo reel.

For those who want a deeper look at what’s happening under the hood, Genesis AI is offering an optional screen version of Eno featuring a cognitive interface that displays, in real time, what the robot is thinking and processing. It’s an unusual transparency move for a robotics company, and a genuinely smart one. Trust in AI systems tends to erode when people feel like they’re watching a black box make decisions. Showing the work, quite literally, is one way to build confidence in environments where precision matters, like hospitals, labs, or busy production floors.

Deployment is set to begin with industrial customers by the end of 2026, starting with manufacturing, logistics, and laboratory settings before moving into service industries like hotels and hospitals, with consumer and home use following down the line. That rollout sequence makes sense. Controlled industrial environments offer a much cleaner test case for a robot learning the real world than someone’s living room does, and it gives Genesis AI the chance to refine Eno where the stakes of a miscalculation are measured in efficiency rather than anything more personal.

Whether Eno ends up being the robot that finally makes good on the promise of general-purpose robotics remains to be seen. The industry has announced breakthroughs before and delivered timelines that stretched well past the original projections. But Eno feels different in at least one significant way: it isn’t trying to win you over with its looks. It’s making a functional argument, and that alone puts it in a category of its own right now. Sometimes the smartest design choice is knowing exactly what not to include.

The post Forget Humanoids: Eno Might Be the Robot We Actually Need first appeared on Yanko Design.

Lenovo built an AI-ready Mac mini rival for $440… and it’s only available in China

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For the past two years, on-device AI has been a hardware arms race, a contest to see whose NPU could post the most TOPS before the next product cycle. Qualcomm claimed the Snapdragon X Elite was the laptop chip AI deserved. Intel answered with Core Ultra and its own NPU tier. Apple quietly kept winning by making its Neural Engine feel native to everything the operating system actually does. Lenovo’s AI Host Mini, a $440 mini PC launching in China on July 1, approaches the whole argument from the opposite direction, starting with 8,000 software tools and asking how little hardware you need to run them well. At 45 TOPS and 8GB of RAM, the answer it proposes is going to make a lot of spec-chasers uncomfortable.

The physical object is a plain black box, 10 x 10 x 4.8 centimeters and 0.48 liters in volume, smaller than the Mac mini, which starts at $769. The processor is a Cixin P1 CD8180, a Chinese ARM chip with twelve CPU cores and an Immortalis-G720 GPU carrying ten cores, backed by 8GB of LPDDR5-6000 RAM and a 256GB SSD. Lenovo runs the platform on Ubuntu Linux with a proprietary Tianxi Claw layer handling access to the AI skills marketplace, and the system reportedly handles multiple agent instances running simultaneously. Connectivity covers two USB-C, four USB-A, 2.5 Gbit/s Ethernet, HDMI 1.4, and DisplayPort 1.4. CNY 2,999 (about $440) buys a China-exclusive launch with no confirmed path to international shelves.

Designer: Lenovo

The Cixin P1 chip is the most politically loaded component in any mini PC announced this year. US export controls have cut Chinese manufacturers off from TSMC’s advanced nodes and Nvidia’s AI accelerators, forcing a generation of engineers to solve hard problems with constrained tools. That pressure has already produced genuine surprises: Huawei’s Kirin 9000s proved domestic silicon could power a sold-out flagship, and DeepSeek R1 showed that a frontier-class language model could be trained on a fraction of the compute budget everyone assumed was mandatory. The Cixin P1 follows that lineage, delivering 45 TOPS from hardware no Western analyst would have put on a competitive spec sheet two years ago. Doing more with less has always been a survival strategy; in China’s tech industry right now, it looks increasingly like a competitive advantage.

A skill, in Lenovo’s Tianxi Claw framework, is a purpose-built AI agent: a compact, fine-tuned model trained to do exactly one job well. Whether translating a document, transcribing audio, or automating a repetitive workflow, each runs lean and fast by design. A 1-billion-parameter model fine-tuned for translation outperforms a general 7-billion-parameter model on that same task while consuming a fraction of the memory, which is why 8GB can feel adequate here when it would feel genuinely limiting on a machine trying to run a full LLM. The system handles multiple agent instances simultaneously, so one processes voice input while another works through an image task in the background. That is a fundamentally different vision for personal AI: less one omniscient assistant, more a small and efficient team of specialists.

The honest caveat sits in the software stack: Tianxi Claw is a proprietary platform built for Chinese consumers, and the skills catalog is oriented toward Mandarin-speaking users for now. There is also a China-exclusive July 1 launch date with nothing confirmed internationally. The 8GB RAM ceiling matters at the edge of demanding generative tasks, where the Yoga Mini i Gen 11’s 32GB ceiling and the Minisforum MS-S1 Max’s 128GB unified pool have headroom this machine simply doesn’t. But none of that changes what the AI Host Mini signals: if domestic Chinese silicon delivers 45 TOPS at $440 in 2026, the trajectory points toward personal AI computers that cost less than a mid-range smartphone within two product cycles. China’s tech industry is answering the affordability question faster than almost anyone predicted, and as usual, it is doing it with whatever tools the room allowed.

The post Lenovo built an AI-ready Mac mini rival for $440… and it’s only available in China first appeared on Yanko Design.

The Mac mini Finally Has the AI Meeting Recording Accessory It Deserved All Along

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The Mac mini is one of the best desktops money can buy right now. It’s compact, silent, devastatingly powerful, and designed around the idea that your desk should stay clean. Apple just never gave it a microphone or a speaker, which means the moment a meeting starts, Mac mini users are quietly improvising. Some grab a USB speakerphone. Some rely on AirPods and hope for the best. And a growing number have started inviting a third-party AI bot into every call to handle the note-taking, which is where things get a little embarrassing.

Because there’s a moment in every modern video call that makes you cringe. It’s not the person talking while muted or the cat walking across a keyboard. It’s the polite little notification that an uninvited guest has arrived: “Otter.ai is recording this meeting.” Suddenly, everyone knows you’ve outsourced your attention span. It’s the digital equivalent of showing up to a confidential briefing with a stenographer, a blatant admission that you plan on remembering absolutely nothing. The subtext is deafening; you are signaling to your boss, your client, or your team that you simply don’t have the bandwidth (or the willpower) to be present.

Designer: HiDock

Click Here to Buy Now: $170.1 $189 (10% off, use code “YANKO10”). Hurry, deal ends in 48-hours!

I’m not saying that mindset is a problem, we all need to use tools to make life easier. The problem is that we shouldn’t necessarily broadcast that we’re taking the easy way out. This is the problem a certain kind of hardware solves beautifully. The HiDock H1 Lite is a desktop audio controller and recorder that feels like something Elgato would make for a Zoom-first world. It sits on your desk, connects via USB-C, and gives you a physical button to record meetings locally and discreetly. It captures everything, even audio from your Bluetooth earbuds, without adding a bot to your meeting. It’s a tool for professionals who understand that how you do something matters just as much as what you do.

When you take a call through AirPods or any Bluetooth earphones, the audio from the other side goes directly into your ears, bypassing any standard recording setup on your desk. Most recorders catch only what your microphone picks up, leaving you with a one-sided transcript and a lot of gap-filling to do later. HiDock’s killer feature “BlueCatch” intercepts that two-way audio path, so the full conversation gets captured clearly, without needing a bot in the meeting or asking your meeting platform for any special permissions. That one feature alone replaces the need for AI transcript bots sitting in meetings. It intercepts both ends of the call, transcribing silently without its presence being felt.

And that’s really the H1 Lite’s whole appeal. It takes a workflow that has become weirdly software-heavy and drags it back into the physical world. Instead of relying on a cloud assistant to announce itself in every meeting, you get a compact piece of desk hardware with actual controls, actual presence, and a much cleaner social footprint. You press record, the device does its job, and the meeting keeps moving. There’s something refreshing about that. It treats meeting capture like a native part of your workstation rather than a service awkwardly stapled on top of it.

The design helps sell that idea too, especially for Mac mini users. The H1 Lite’s compact, understated form factor slots into a Mac mini desk setup almost like it was designed for it. Same quiet confidence, same refusal to take up more space than necessary. It belongs next to a monitor, keyboard, and dock, somewhere in that same universe of creator gear and desktop controllers. It has the kind of shape and physical interface that makes sense at a glance. Speaker on one side, controls on the other, a knob you can actually reach for, a slider that feels deliberate instead of decorative.

HiDock clearly knows this category already. The brand has other products for people who want a fuller desktop setup or something more portable, and there are competing devices like Plaud chasing the mobile recorder crowd too. The H1 Lite feels more focused than all of that. Its whole identity is built around a very specific desk-bound use case: the person who lives in meetings, uses Bluetooth earbuds, wants searchable notes afterward, and has zero interest in inviting a visible bot into every serious conversation. That clarity works in its favor because it keeps the product from feeling bloated or confused about what it’s supposed to be.

Functionally, it covers the right scenarios without overcomplicating them. There’s a Call Mode for virtual meetings and Bluetooth earphone calls, and a Room Mode for in-person conversations, interviews, and group sessions. That means the H1 Lite can sit at the center of your normal workday and still pull double duty when you need to record something off-camera. Built-in storage, Bluetooth support, speakerphone functionality, and a single USB-C connection all reinforce the same idea: this thing belongs on the desk, ready to go, without demanding a ritual every time you use it.

The AI layer is there, but it doesn’t dominate the product’s personality, which is probably the smartest thing about it. Yes, the H1 Lite transcribes and summarizes meetings. Yes, it supports a huge number of languages. Yes, that matters. But the emotional hook is subtler than that. The H1 Lite gives you the benefits people want from AI meeting tools without making the AI itself the star of the show. You still get the searchable notes, the summaries, the cleanup after the call. You just get there through hardware that feels quieter, more professional, and far less needy.

At $189, that idea starts to look pretty smart. The H1 Lite does not need to replace every recorder, every note-taking app, or every other HiDock product to be interesting. It just needs to solve one very specific pain point better than the alternatives, and it does. For the remote worker who is tired of inviting a needy little assistant bot into every serious conversation, this feels like the grown-up version of AI meeting capture.

Click Here to Buy Now: $170.1 $189 (10% off, use code “YANKO10”). Hurry, deal ends in 48-hours!

The post The Mac mini Finally Has the AI Meeting Recording Accessory It Deserved All Along first appeared on Yanko Design.

The Mac mini Finally Has the AI Meeting Recording Accessory It Deserved All Along

Posted on by

The Mac mini is one of the best desktops money can buy right now. It’s compact, silent, devastatingly powerful, and designed around the idea that your desk should stay clean. Apple just never gave it a microphone or a speaker, which means the moment a meeting starts, Mac mini users are quietly improvising. Some grab a USB speakerphone. Some rely on AirPods and hope for the best. And a growing number have started inviting a third-party AI bot into every call to handle the note-taking, which is where things get a little embarrassing.

Because there’s a moment in every modern video call that makes you cringe. It’s not the person talking while muted or the cat walking across a keyboard. It’s the polite little notification that an uninvited guest has arrived: “Otter.ai is recording this meeting.” Suddenly, everyone knows you’ve outsourced your attention span. It’s the digital equivalent of showing up to a confidential briefing with a stenographer, a blatant admission that you plan on remembering absolutely nothing. The subtext is deafening; you are signaling to your boss, your client, or your team that you simply don’t have the bandwidth (or the willpower) to be present.

Designer: HiDock

Click Here to Buy Now: $170.1 $189 (10% off, use code “YANKO10”). Hurry, deal ends in 48-hours!

I’m not saying that mindset is a problem, we all need to use tools to make life easier. The problem is that we shouldn’t necessarily broadcast that we’re taking the easy way out. This is the problem a certain kind of hardware solves beautifully. The HiDock H1 Lite is a desktop audio controller and recorder that feels like something Elgato would make for a Zoom-first world. It sits on your desk, connects via USB-C, and gives you a physical button to record meetings locally and discreetly. It captures everything, even audio from your Bluetooth earbuds, without adding a bot to your meeting. It’s a tool for professionals who understand that how you do something matters just as much as what you do.

When you take a call through AirPods or any Bluetooth earphones, the audio from the other side goes directly into your ears, bypassing any standard recording setup on your desk. Most recorders catch only what your microphone picks up, leaving you with a one-sided transcript and a lot of gap-filling to do later. HiDock’s killer feature “BlueCatch” intercepts that two-way audio path, so the full conversation gets captured clearly, without needing a bot in the meeting or asking your meeting platform for any special permissions. That one feature alone replaces the need for AI transcript bots sitting in meetings. It intercepts both ends of the call, transcribing silently without its presence being felt.

And that’s really the H1 Lite’s whole appeal. It takes a workflow that has become weirdly software-heavy and drags it back into the physical world. Instead of relying on a cloud assistant to announce itself in every meeting, you get a compact piece of desk hardware with actual controls, actual presence, and a much cleaner social footprint. You press record, the device does its job, and the meeting keeps moving. There’s something refreshing about that. It treats meeting capture like a native part of your workstation rather than a service awkwardly stapled on top of it.

The design helps sell that idea too, especially for Mac mini users. The H1 Lite’s compact, understated form factor slots into a Mac mini desk setup almost like it was designed for it. Same quiet confidence, same refusal to take up more space than necessary. It belongs next to a monitor, keyboard, and dock, somewhere in that same universe of creator gear and desktop controllers. It has the kind of shape and physical interface that makes sense at a glance. Speaker on one side, controls on the other, a knob you can actually reach for, a slider that feels deliberate instead of decorative.

HiDock clearly knows this category already. The brand has other products for people who want a fuller desktop setup or something more portable, and there are competing devices like Plaud chasing the mobile recorder crowd too. The H1 Lite feels more focused than all of that. Its whole identity is built around a very specific desk-bound use case: the person who lives in meetings, uses Bluetooth earbuds, wants searchable notes afterward, and has zero interest in inviting a visible bot into every serious conversation. That clarity works in its favor because it keeps the product from feeling bloated or confused about what it’s supposed to be.

Functionally, it covers the right scenarios without overcomplicating them. There’s a Call Mode for virtual meetings and Bluetooth earphone calls, and a Room Mode for in-person conversations, interviews, and group sessions. That means the H1 Lite can sit at the center of your normal workday and still pull double duty when you need to record something off-camera. Built-in storage, Bluetooth support, speakerphone functionality, and a single USB-C connection all reinforce the same idea: this thing belongs on the desk, ready to go, without demanding a ritual every time you use it.

The AI layer is there, but it doesn’t dominate the product’s personality, which is probably the smartest thing about it. Yes, the H1 Lite transcribes and summarizes meetings. Yes, it supports a huge number of languages. Yes, that matters. But the emotional hook is subtler than that. The H1 Lite gives you the benefits people want from AI meeting tools without making the AI itself the star of the show. You still get the searchable notes, the summaries, the cleanup after the call. You just get there through hardware that feels quieter, more professional, and far less needy.

At $189, that idea starts to look pretty smart. The H1 Lite does not need to replace every recorder, every note-taking app, or every other HiDock product to be interesting. It just needs to solve one very specific pain point better than the alternatives, and it does. For the remote worker who is tired of inviting a needy little assistant bot into every serious conversation, this feels like the grown-up version of AI meeting capture.

Click Here to Buy Now: $170.1 $189 (10% off, use code “YANKO10”). Hurry, deal ends in 48-hours!

The post The Mac mini Finally Has the AI Meeting Recording Accessory It Deserved All Along first appeared on Yanko Design.

An Ex-Alibaba Exec Spent 12 Years Building the Smart Glasses that Google Couldn’t

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The story of Google Glass is a well-worn legend in Silicon Valley. It was a product so far ahead of its time that it became a cultural phenomenon and then a punchline, a symbol of technological overreach and social awkwardness. The project was ultimately shelved, a high-profile monument to a future that arrived too early. It was a public retreat, an admission that the world was not ready for a computer on its face, or perhaps that the computer was not ready for the world.

As that chapter closed, another one was just beginning, thousands of miles away. An executive from Alibaba, inspired by the initial audacity of Google’s idea, decided to take a different approach. Instead of chasing hype, he would chase utility. Instead of prioritizing features, he would prioritize weight and comfort. For twelve years, his company, Rokid, worked to solve the very human problems that Google had overlooked, and in 2026 that long bet looks less like a moonshot and more like a roadmap.

Designer: Rokid

That roadmap now has a new center of gravity. Following Google’s latest Gemini updates at I/O, Rokid says it is bringing Gemini Flash 3.5 to its smart glasses, pushing the company deeper into what it calls agentic AI. The phrase matters because it signals a shift away from voice assistants that answer one question at a time and toward systems that can hold context, respond faster, and handle more layered tasks through simple voice commands. Rokid is framing the glasses as a place where conversational AI can stay present, useful, and continuous rather than trapped inside a phone screen.

That ambition sits on top of an unusually broad AI strategy. Rokid has spent the last year positioning its glasses as an open ecosystem rather than a single-model device, supporting ChatGPT, Qwen, DeepSeek, and Gemini across different products and regions. In Asia, the company has already built an AI Agent Store and says it has received more than 3,000 submissions for agentic workflows, with over 400 approved and published. The international push comes next, and that is where the latest Gemini integration becomes more than a feature update. It becomes a bridge between Rokid’s regional momentum and its global pitch.

The hardware story still matters because smart glasses live or die by whether people will actually wear them. Rokid’s 2025 display-equipped glasses carried one of the most memorable specs in the category: 49 grams for a full-function AI and AR device with display. That number gave the company a clean answer to the oldest question in wearable tech, which is how much computation can disappear into something that still feels like eyewear. According to Rokid’s own materials, that product also helped it raise more than $6 million and move into global mass production by December, giving the company proof that its ideas could leave the demo stage.

This year’s bigger mainstream play is Rokid AI Glasses Style, a different kind of product aimed at lowering the barriers that have kept smart eyewear niche for so long. Style is display-free, voice-centric, and starts at $299. At 38.5 grams, it is even lighter than the 49-gram model, and Rokid presents that reduction as part of a larger balancing act between comfort, battery life, and functionality. The frame is designed like premium eyewear, with titanium alloy hinges, liquid-silicone nose pads, and a classic D-shaped silhouette. Underneath that familiar form is a dual-chip architecture, with one chip handling low-power always-on tasks and another managing AI and imaging workloads.

Rokid clearly wants to win on openness, but it also wants to win on practicality. One of the strongest parts of the press material is its prescription-first approach, which treats vision correction as core infrastructure rather than a niche add-on. Style supports prescriptions up to ±15.00D, covering myopia, astigmatism, presbyopia, progressives, and functional lens options like photochromic and blue-light filtering. Users can upload prescriptions online and receive custom lenses in about 7 to 10 days. That sounds mundane compared to AI buzzwords, but it may be one of the most important adoption levers in the entire category. Smart glasses cannot become everyday objects if they still behave like specialty gadgets.

The other major throughline is accessibility. Rokid has been consistent here, both in the visit materials and in the press kit. The company is working with Google on accessibility-focused solutions for users with vision and hearing impairments, and its broader messaging keeps returning to a principle it phrases simply: leave nobody behind. For blind and low-vision users, Rokid positions audio-based AI glasses as digital eyes, and it has attached a small subsidy to purchases made for visually impaired users. That choice gives the company a more grounded social purpose than most wearable launches, which often stop at lifestyle language and creator features.

Those creator features are still part of the package. Style includes a 12MP Sony sensor, 4K capture, open-ear audio, and a triple-format imaging system designed for 3:4, 4:3, and 9:16 shooting. Rokid’s pitch is obvious and smart: content should be ready for Instagram, TikTok, or YouTube the moment it is captured, without cropping or post-editing. The glasses also support voice interaction in 12 languages and translation in 89, while adding head gestures and AI shortcuts for hands-free control. Nod to answer a call, shake your head to end it, ask for help in your own language, and keep moving.

All of this adds up to a company trying to define smart glasses less as a futuristic accessory and more as the next natural interface for AI. That is the real continuation of the Google Glass story. Google proved the cultural shock of putting a computer on your face. Rokid is trying to prove the quieter part, that wearability, prescription support, open AI access, and contextual software are what turn a provocative idea into a daily habit. The original dream never disappeared. It just needed lighter frames, better timing, and a company patient enough to spend twelve years building the version people might finally keep on.

The post An Ex-Alibaba Exec Spent 12 Years Building the Smart Glasses that Google Couldn’t first appeared on Yanko Design.

Every Robot You’ll Ever Own Has 3 Separate Brains: Nvidia VP explains how AI Thinks at BEYOND Expo 2026

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A robot on a factory floor may look self-contained, but Deepu Talla says its intelligence is distributed across a hidden chain of machines. At BEYOND Expo 2026, the NVIDIA executive broke robotics down into a deceptively simple formula: three computers. One handles the heavy lifting of training the robot brain, another tests that brain in simulation, and a third lives inside the physical robot, making decisions in real time.

It is a framework that helps explain why robotics has moved so slowly, and why the field suddenly feels ready to accelerate. In language that cut through the usual keynote fog, Talla argued that AI in the physical world plays by harsher rules than chatbots or image tools. A text model can be 95 percent right and still be useful. A robot moving through a warehouse, a street, or a hospital has to perform with a completely different standard. In human terms, it is a little like splitting intelligence into learning, dreaming, and reacting, then assigning each function to a different machine.

That first machine is where the robot’s intelligence is forged. Talla described it as the computer used to train the robot brain, the heavy compute layer where models absorb data, patterns, and behaviors at massive scale. This is where a machine learns how the physical world works, long before it ever enters one. If that sounds abstract, the second computer makes it easier to picture. This is the simulation layer, the place where a robot rehearses reality in a safer, faster, cheaper environment, running through scenarios again and again until its behavior becomes reliable enough to trust.

The third computer is the one that actually lives inside the robot. It is the real-time brain, the system that has to perceive the world, make sense of it, and respond instantly. This is where Talla’s argument becomes especially sharp. In digital AI, a model can get close and still be useful because a human can smooth over the rough edges. In robotics, the rough edges are where accidents happen. A machine moving through a factory, a roadway, or a hospital has to work with a far tighter tolerance for error, because the physical world offers fewer second chances.

That is also why NVIDIA sees robotics as far bigger than a niche category. Talla pointed out that almost 80 percent of the world’s GDP sits in physical industries like manufacturing, logistics, retail, and transportation. These are sectors where intelligence has to leave the screen and interact with objects, spaces, and people. NVIDIA’s role, in his telling, is to provide the underlying architecture for that shift. The company may not build robots itself, but it wants to supply the stack beneath them, from training infrastructure and simulation tools to the compute that powers action on the edge.

The post Every Robot You’ll Ever Own Has 3 Separate Brains: Nvidia VP explains how AI Thinks at BEYOND Expo 2026 first appeared on Yanko Design.

Apple said ‘AI’ exactly 28 times at WWDC 2026. Google mentioned it nearly 100 times at I/O.

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By the end of this year’s big tech keynotes, one comparison stood out more than any product demo. Apple said “AI” 28 times at WWDC 2026. Google said it nearly 100 times at I/O 2026. Same industry, same race, same obsession, but two very different instincts about how to sell the next phase of computing.

Google’s keynote reflected the current rhythm of the AI industry, loud, relentless, and eager to stamp the term onto everything in sight. Apple’s presentation moved differently. It kept circling back to what people could actually do with the technology, how private it would be, and where it would fit into everyday routines. That softer framing may frustrate people who want Apple to move faster and compete harder. It may also be exactly why Apple’s pitch feels easier to absorb at a moment when audiences are already saturated with AI promises.

AI fatigue is real, and it has been building for a while. After years of keynotes, product launches, and press releases leading with the same two letters, the word has started to lose its grip on audiences. What once signaled breakthrough capability now signals marketing effort. When a company says “AI” 100 times in a single presentation, the listener stops hearing a technology and starts hearing a strategy. The signal becomes noise, and somewhere in that noise, the actual products get harder to see.

Apple’s approach at WWDC 2026 worked around that problem by reframing the conversation entirely. Instead of leading with technology, it led with moments. Siri finding a friend’s new address buried in a weeks-old message thread. A photo being reframed after the fact, as if you had stepped to the right before pressing the shutter. A restaurant bill split with Apple Cash by pointing a camera at it. These are small things, but they are the kind of small things that people actually think about during their day. Anchoring the keynote to those moments gave the technology a human scale that raw AI talk rarely achieves.

The branding reflects the same thinking. Apple calls it “Apple Intelligence,” a label that keeps the company name front and center while quietly sidestepping the overcrowded AI conversation. It is a deliberate choice, and it shows. Google’s keynote was structured around the technology itself, its power, its speed, its range. Apple’s keynote was structured around the people using it. That difference in framing shapes how audiences receive the same underlying capability, and Apple’s version is considerably easier to trust.

Privacy played a central role in building that trust. Apple returned to on-device processing and Private Cloud Compute repeatedly throughout WWDC, not as a footnote but as a feature. At a time when public concern about how AI companies handle personal data is growing steadily, that emphasis lands differently than it might have a few years ago. Google builds powerful models and serves them at enormous scale. Apple builds careful models and makes a point of telling you where your data goes and where it stays. For a meaningful portion of consumers, that distinction matters more than benchmark scores.

None of this means Apple is winning the AI race on capability. Google’s models are more powerful, more publicly accessible, and more deeply woven into the daily workflows of people around the world. Gemini’s reach across Search, Gmail, YouTube, and Android gives Google a distribution advantage that Apple’s ecosystem, for all its loyalty, cannot easily match. If the competition were judged purely on technical ambition and model performance, Google’s 100 mentions would feel earned.

But technology keynotes are not judged purely on technical ambition. They are judged on how they make audiences feel, what they make people want, and whether they leave the room energised or overwhelmed. On those terms, Apple’s 28 mentions of “AI” accomplished something that Google’s near-100 did not. They kept the word rare enough to mean something. Every time Apple said it, there was a feature attached, a privacy assurance nearby, and a use case grounded in daily life. The word carried weight because it was not being used to fill space.

The larger irony is that Apple may be the company best positioned to benefit from a backlash it did not entirely create. Google, Microsoft, Meta, and others have spent years flooding the conversation with AI language, and the fatigue that has followed is a byproduct of their own enthusiasm. Apple watched, built quietly, and showed up at WWDC 2026 with a keynote that treated restraint as a product decision. Whether that restraint reflects genuine strategic confidence or simply a capability gap dressed up in good marketing is the question the next few years will answer. For now, 28 versus 100 tells a story that Apple’s communications team could not have scripted better.

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7 Biggest AI Ideas That Came Out of BEYOND Expo 2026

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The youngest person at BEYOND Expo 2026’s AI Hack Day was nine years old. That little fact, shared by co-founder Dr Lu Gang, actually says more about the state of AI than any big product launch. It means the tools are getting simple enough that you don’t need a PhD to build something interesting; you just need a good idea. The rest of the expo in Macao seemed to prove his point. You had 30,000 people and almost 800 companies all focused on a single question: what happens when AI stops being just software and gets built into actual, physical things?

It turns out the answer is a mix of things we expected and some we definitely did not. BEYOND Expo 2026 ended up giving us a pretty clear map of where this is all heading, with seven key ideas showing up over and over again. We saw everything from humanoid robots that are finally ready for production to underwater drones that can get around without GPS. Some of this was easy to see coming, but other parts showed that the tech has crossed a real line. These are the ideas that give us a solid picture of an AI that now has weight, form, and real-world impact.

1. Humanoid Robots Are Finally Getting Real

The most obvious trend on the floor was the sheer number of robots walking around. This wasn’t just one or two companies showing off a flashy prototype. The BEYOND Best of Innovation awards list was packed with names like AI² Robotics, DEEPRobotics, LimX Dynamics, and Pudu Robotics. Seeing that many different companies all get recognized for building functional, legged robots at the same event is a major signal. The hardware is clearly getting to a point where it’s reliable enough to be taken seriously.

What’s interesting is that the conversation is shifting from engineering to application. Companies were talking about humanoids for specific jobs in industry, retail, and even in the home. This tells you the focus is moving past the basic challenge of just making them walk without falling over. The new problem to solve is what they should actually do all day. BEYOND Expo made it feel like we’re at the very beginning of a real manufacturing race, not just a science fair.

2. Smart Glasses Found a Form Factor That Works

Smart glasses have been the “next big thing” for about a decade, but this year felt different. We saw new AI-powered glasses from iFlyTek and METLEN, and companies like Even Realities, Mobvoi, and XREAL all picked up innovation awards for their own takes on wearable displays. The key here is convergence. While each product has its own features, they’re all starting to look and feel like something a normal person might actually wear. They are lighter, the displays are better, and the battery life is getting there.

This isn’t another Google Glass moment where the tech was impressive but the product was awkward and socially weird. The new wave of smart glasses is being designed with more specific uses in mind, from on-the-fly translation to providing subtle notifications or acting as a personal design agent. The on-device AI is powerful enough to handle these tasks without being constantly tethered to a phone, which is the breakthrough that might finally make them stick.

3. Flying Vehicles Are Becoming Actual Products

For years, eVTOLs, or electric vertical take-off and landing aircraft, have been staples of futuristic concept videos. At BEYOND Expo, they started to look like real products. Aerofugia showed up with what it called its first production aircraft and, just as importantly, a production eVTOL battery. Wefly also got an innovation award, adding to the sense that this category is moving out of the lab and onto the launchpad.

The word “production” is what matters here. It signals a shift from speculative design to engineering with a supply chain. AI is the invisible engine driving this progress, handling the incredibly complex calculations needed for flight stability, power management, and autonomous navigation. This is the part of the “digital to physical” story where AI isn’t just a feature; it’s the core technology that makes a whole new category of hardware possible.

4. AI Is Getting Personal and Medical

While robots and flying cars grabbed a lot of attention, some of the most interesting AI was designed to be much closer to home, and even part of the body. The expo featured things like Zdeer’s bone conduction hearing aid and Ulike’s optical beauty devices. In the startup competition, one of the finalists was an “emotion-sensitive hugging bear,” and others included smart jewelry and wearables designed to be stylish.

This points to a quieter, more intimate side of the AI hardware boom. These aren’t just gadgets; they’re devices that interact with our bodies and our health. A hearing aid that uses AI can learn and adapt to a person’s specific hearing profile in different environments. A wearable that senses emotion is a step toward technology that responds to our mental state. It’s a reminder that the most impactful physical AI might be the kind that disappears completely into our daily lives.

5. The One-Person Company Is the New Unicorn Hunt

One of the most forward-thinking ideas came from Dr Lu Gang himself. He said that this year, the expo deliberately focused on “one-person companies” and individual programmers. He believes these tiny operations have the potential to become unicorns because AI tools have become such a powerful force multiplier. When the youngest hacker at your event is nine, it proves that the barrier to entry for building something real has dropped through the floor.

This is a structural shift in how tech companies might get built. The old model of needing a big team and millions in venture capital just to get a product off the ground is being challenged. With powerful AI handling coding, design, and operational tasks, a single motivated person can now build and launch something that would have taken a whole department just a few years ago. It suggests a future where the startup landscape is much more dynamic and accessible.

6. Knowing How to Tell a Story Is a Technical Skill

With 800 companies all showing off impressive technology, just having a good product wasn’t enough. Kun Gao, the founder of Crunchyroll, made this point at the closing ceremony. He advised founders that they have to learn how to tell a compelling story to win over investors and partners. This wasn’t just abstract advice; it was happening live at the “Fund at First Pitch” competition, where over 300 startups were trying to get noticed.

This is a crucial idea for anyone in design or product development. In a crowded market, the clarity of your vision is just as important as the quality of your code or the cleverness of your engineering. Being able to explain who your product is for, what problem it solves, and why it matters is a design skill. It’s what separates a cool piece of tech from a real business, and BEYOND Expo put that challenge front and center.

7. AI Is Going Underwater, Literally

Probably the most unexpected idea at the expo was seeing AI get good at swimming. Zero Zero Robotics, known for its flying drones, launched the HOVERAir AQUA, an underwater drone. Another company, OrcaTech, also won an innovation award for its marine technology. This might seem like a niche category, but the technical challenge is enormous and says a lot about how capable AI has become.

Underwater is one of the hardest environments for autonomous tech to operate in. GPS doesn’t work, visibility is often terrible, and communication is extremely limited. For a drone to navigate, identify objects, and perform tasks on its own down there, its onboard AI has to be incredibly sophisticated. It proves that physical AI is not just conquering our cities and skies; it’s expanding into the most remote and difficult parts of our world.

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This $99 USB-C Hub Also Runs GPT-5, Gemini, and Claude at the Same Time to AI Transcribe Your Meetings

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Put the DockOrb A1 on a conference table without context and someone will reach for it expecting a scroll wheel. The gray brushed-aluminum slab, the gently rounded corners, and two physical buttons in familiar left-right symmetry on the top face read entirely as peripheral hardware. What the device actually does is listen, think, and report. Powered by OpenAI GPT-5, Google Gemini 2.5 Pro, and Anthropic Claude Sonnet 4, DockOrb A1 is a professional AI meeting and desktop assistant. The label on the box says meeting assistant; the object in the hand says otherwise.

The category it operates in has been filling up quickly. Plaud built a card-thin wearable that magnetically clips to your phone. HiDock shaped a USB-C hub into a ChatGPT-powered meeting stenographer, and we covered that launch here at YD. DockOrb’s A1 lands somewhere between those two worlds, combining a fully functional multiport dock with a multi-model AI engine, 100W PD, and 4K@60Hz HDMI output. Unlike either of those predecessors, it handles display output and power delivery in the same housing, making the desk real estate argument for a single device considerably more loaded.

Designer: DockOrb

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The mouse silhouette is instantly familiar, and anyone who’s ever used a computer will be able to navigate the DockOrb intuitively. Two buttons arranged horizontally on a flat top surface is the correct solution for a device that needs to be operated with a single press in a meeting context, no fumbling, no menus, no distraction. With a dedicated AI button and real-time processing, DockOrb A1 analyzes ongoing discussions and provides actionable suggestions and insights, helping teams improve collaboration and make decisions more efficiently without interrupting the meeting flow. LED status is handled by a single indicator, white for idle and blue for active capture, readable from across a conference table without breaking eye contact with whoever is speaking. The problem is that all of this correct ergonomic logic is housed inside a form that the product world has spent two decades teaching people to recognize as a pointing device.

Rather than anchoring to a single AI model, the A1 integrates with Esteno, an advanced AI fusion-processing software platform. Esteno integrates multiple advanced AI models, including OpenAI GPT-5, Google Gemini 2.5 Pro, and Anthropic Claude Sonnet 4. Each model is optimized for tasks such as speech-to-text, summarization, contextual reasoning, and insight generation. By intelligently routing tasks to the most suitable model, the system delivers efficient, flexible, and high-quality meeting intelligence across different use cases. That architectural approach is genuinely unusual in this category, where most competitors commit to a single backbone and build their entire brand identity around it.

Plaud’s card-thin approach to meeting intelligence, at 2.9mm thick and MagSafe-compatible, is built on the premise that the recorder travels everywhere with you, riding on the back of your phone. The A1 has no such intention, operating through USB power without a built-in battery, with a compact design, dedicated recording button, and AI activation key for stable and simple meeting operation. In exchange for that fixed-desk commitment, it handles 4K video output at 60Hz over HDMI and 100W power delivery over USB-C, turning the dock into the single device your entire workstation routes through. After transcription and analysis, DockOrb A1 automatically generates structured meeting reports highlighting key decisions, action items, and follow-up tasks, which can be exported directly in PDF, Excel, or PowerPoint formats. Getting a properly formatted, structured report out of a recorded conversation without manual reformatting is a genuine subtraction from the post-meeting to-do list, and it’s the kind of output that separates a real workflow tool from a novelty recorder.

Following ISO and SOC data protection standards, DockOrb A1 secures recorded audio and AI-generated content through encrypted storage and processing, allowing users to export, archive, or delete files at any time while ensuring full control over their data. That’s pointed positioning in a market where corporate IT departments are increasingly skeptical about meeting audio being routed through third-party AI servers without accountability. Recordings, transcripts, summaries, and reports from multiple meetings can be stored and organized within a centralized memory archive, with AI-powered indexing and searchable meeting names, content, or dates, so teams can quickly retrieve past discussions, track long-term decisions, and build a continuously growing knowledge base. Built on a platform-independent architecture, DockOrb A1 processes audio from Zoom, Teams, Google Meet, mobile devices, and more, delivering consistent transcription, analysis, and structured outputs. Retrieving a specific discussion from three months prior becomes a search query rather than a manual scroll through unlabeled audio files.

The Kickstarter campaign prices the A1 at $89 for the Super Early Bird tier against an MSRP of $149. Shipping is targeted for August 2026, with production beginning the month prior. Plaud’s Note Pro retails at $169 on the market and handles no dock hardware whatsoever, making the A1’s value calculation sharper for anyone already planning to put a USB-C hub on their desk. The Esteno software platform tiers at $8 per month for Basic, covering 600 minutes of monthly transcription, and $15 per month for Pro, which adds 2,400 minutes, unlimited AI features, and priority processing. That’s a fully loaded meeting intelligence setup, dock and display output included, for a first-year cost that lands well under what most enterprise-grade transcription tools charge for software alone.

Click Here to Buy Now: $99 $149 ($50 off) Hurry! Hurry, only a few left!

The post This $99 USB-C Hub Also Runs GPT-5, Gemini, and Claude at the Same Time to AI Transcribe Your Meetings first appeared on Yanko Design.