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Mark Zuckerberg showed a fingerprint-activated keychain-sized AI device "Muse Charm" designed to bypass the phone entirely. > roughly 2-inch display and runs a new operating system designed to bring Muse to life on its own hardware. > packs Muse's real-time voice and avatar stack into dedicated hardware. > can...

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Rohan Paul

157,948 subscribers

43,637 Aufrufe • vor 18 Stunden •via X (Twitter)

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11 Kommentare

Profilbild von BowtiedWhitebat + Read Pinned Tweet or NGMI
BowtiedWhitebat + Read Pinned Tweet or NGMIvor 17 Stunden

aint no way he brin back tamaguchi !?

Profilbild von lastinline
lastinlinevor 17 Stunden

fingerprint unlock on a always-listening device is a strange pairing

Profilbild von Jay Le
Jay Levor 16 Stunden

well , any old apple watch can just run an app exactly like that.

Profilbild von Balagopal
Balagopalvor 15 Stunden

I can’t decide if this is delightful or just one more thing to charge. That transparent case is winning me over though 😅

Profilbild von Rohan Paul
Rohan Paulvor 18 Stunden

Full video on official Meta YT channel

Profilbild von Nexqor
Nexqorvor 16 Stunden

what does it do that the muse app on my phone can't

Profilbild von AlphaOptimist
AlphaOptimistvor 17 Stunden

This twerp censored the USA during the Covid fake pandemic. He's a twerp.

Profilbild von Jatin Garg
Jatin Gargvor 15 Stunden

fingerprint auth on a keychain device bypassing phones is interesting. what's the latency when it routes through Meta servers versus local?

Profilbild von @Quendrith
@Quendrithvor 17 Stunden

Excellent download tyty, overdose of cuteness distraction first reaction - inner working appreciated. Mark is on a roll, imho. Critter could have been named Sparky tho? ;)

Profilbild von Shinka - AI
Shinka - AIvor 16 Stunden

Meta's keychain AI skips the wrist to kill the phone, but dedicated hardware still needs a real reason to exist beyond faster agent access.

Profilbild von Jaydeep | AI
Jaydeep | AIvor 15 Stunden

We’re slowly moving from “AI on your phone” to “a phone built around AI.” The interesting question is: will people actually want to carry a separate AI device? 👀

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$META unveiled Muse Charm, a palm-sized 5G device built specifically for interacting with its Muse AI agent. The tiny handheld offers direct Muse access without smart glasses and is still in late-stage development. Meta plans to ship it in time for the December holiday season.
1:13

$META unveiled Muse Charm, a palm-sized 5G device built specifically for interacting with its Muse AI agent. The tiny handheld offers direct Muse access without smart glasses and is still in late-stage development. Meta plans to ship it in time for the December holiday season.

Sam Badawi

22,393 Aufrufe • vor 21 Stunden

$META LAUNCHES MUSE PERSONAL AI AGENT Meta is rolling out Muse, a personal AI agent that can take actions across apps and the web, including sending emails, booking travel, filling out forms and making purchases with user approval. Muse runs on Meta’s new Muse Secure VM, giving each user a dedicated cloud environment with a separate Sentinel agent that reviews actions before they reach the internet. The agent can keep working after the app is closed, remember user preferences and proactively advance longer-term tasks. Stripe’s Link is built in for checkout, with Shop Pay and 1Password support coming later. Muse launches in the U.S. on iOS, Android and the web, with free and paid tiers, and support for AI glasses coming soon.
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$META LAUNCHES MUSE PERSONAL AI AGENT Meta is rolling out Muse, a personal AI agent that can take actions across apps and the web, including sending emails, booking travel, filling out forms and making purchases with user approval. Muse runs on Meta’s new Muse Secure VM, giving each user a dedicated cloud environment with a separate Sentinel agent that reviews actions before they reach the internet. The agent can keep working after the app is closed, remember user preferences and proactively advance longer-term tasks. Stripe’s Link is built in for checkout, with Shop Pay and 1Password support coming later. Muse launches in the U.S. on iOS, Android and the web, with free and paid tiers, and support for AI glasses coming soon.

Wall St Engine

160,807 Aufrufe • vor 16 Tagen

Mark Zuckerberg (Mark Zuckerberg) on Muse, Meta's personal AI agent I recently sat down with Zuckerberg for episode two of the Sources podcast. We go deep on Muse, Meta's new (and, in my experience over the last few days, very capable) agent that comes with its own virtual machine and can do much more than a chatbot. Zuck, in fact, is confident that Muse will pay for itself by making people money. We also discuss his views on the data center backlash, his concerns about the concentration of power in AI, Meta's recent youth-safety settlement, privacy concerns about Meta's smart glasses, and more. Timestamps: 00:00 Zuckerberg’s Vision for AI 08:34 Data Centers, Jobs and Local Communities 15:03 Why Meta Is Building Personal Superintelligence 19:14 How Zuckerberg Uses Muse 25:00 Muse Pricing and Business Model 30:31 Privacy and Security for Personal Agents 41:06 Who Will Win the Personal AI Agent Market? 44:31 Rebuilding Meta’s AI Lab 54:09 AI Safety and Working With Government 01:01:51 Smart Glasses and Privacy 01:05:50 Teen Safety and Social Media Limits Thanks to the show's premier sponsors: Granola, Mercury, and Atlassian
1:10:10

Mark Zuckerberg (Mark Zuckerberg) on Muse, Meta's personal AI agent I recently sat down with Zuckerberg for episode two of the Sources podcast. We go deep on Muse, Meta's new (and, in my experience over the last few days, very capable) agent that comes with its own virtual machine and can do much more than a chatbot. Zuck, in fact, is confident that Muse will pay for itself by making people money. We also discuss his views on the data center backlash, his concerns about the concentration of power in AI, Meta's recent youth-safety settlement, privacy concerns about Meta's smart glasses, and more. Timestamps: 00:00 Zuckerberg’s Vision for AI 08:34 Data Centers, Jobs and Local Communities 15:03 Why Meta Is Building Personal Superintelligence 19:14 How Zuckerberg Uses Muse 25:00 Muse Pricing and Business Model 30:31 Privacy and Security for Personal Agents 41:06 Who Will Win the Personal AI Agent Market? 44:31 Rebuilding Meta’s AI Lab 54:09 AI Safety and Working With Government 01:01:51 Smart Glasses and Privacy 01:05:50 Teen Safety and Social Media Limits Thanks to the show's premier sponsors: Granola, Mercury, and Atlassian

Alex Heath

250,452 Aufrufe • vor 15 Tagen

Mark Zuckerberg (Mark Zuckerberg) just explained how the new Muse agent’s secured virtual machine works. Every Muse user can have a confidential cloud virtual machine containing highly private personal data, while the system is designed so even Meta itself cannot see that content. "you don't want someone to have to set up their own computer or VM. You just want to be able to provision it in the cloud, but you wanted to have the security and confidentiality that you'd have if you had the box sitting under your desk like in your house. " Zuckerberg says he does not know of another agent product with anything close to this setup. ---- From "Sources Podcast and Alex Heath YouTube channel, (full video link in comment)
2:47

Mark Zuckerberg (Mark Zuckerberg) just explained how the new Muse agent’s secured virtual machine works. Every Muse user can have a confidential cloud virtual machine containing highly private personal data, while the system is designed so even Meta itself cannot see that content. "you don't want someone to have to set up their own computer or VM. You just want to be able to provision it in the cloud, but you wanted to have the security and confidentiality that you'd have if you had the box sitting under your desk like in your house. " Zuckerberg says he does not know of another agent product with anything close to this setup. ---- From "Sources Podcast and Alex Heath YouTube channel, (full video link in comment)

Rohan Paul

159,668 Aufrufe • vor 15 Tagen

NEWS: Meta has officially unveiled its $799 Meta Ray-Ban Display AI glasses. • Color 600-by-600-pixel resolution • 20-degree field of view • 5,000 nits of max brightness • 2% light leakage, making it hard for other people to see that there is a display • Gesture control with an EMG wristband that translates the signals created by your muscle activity into commands for your glasses • Comes with transition lenses, and the brightness adjusts depending on ambient UV light • Monocular: display only appears in the one lens • Microphones, speakers, cameras Meta: "The display is placed off to the side, so it doesn’t obstruct your view. And it isn’t on all the time — it’s designed for short interactions that you’re always in control of. This isn’t about strapping a phone to your face. It’s about helping you quickly accomplish some of your everyday tasks without breaking your flow. It’s the first product that takes microphones, speakers, cameras, and a full-color display backed with compute and AI — and puts it all together in a single device that’s stylish and comfortable." Hits U.S. shelves Sept 30th. Expansion to Canada, France, Italy, and the UK is planned for early 2026.
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NEWS: Meta has officially unveiled its $799 Meta Ray-Ban Display AI glasses. • Color 600-by-600-pixel resolution • 20-degree field of view • 5,000 nits of max brightness • 2% light leakage, making it hard for other people to see that there is a display • Gesture control with an EMG wristband that translates the signals created by your muscle activity into commands for your glasses • Comes with transition lenses, and the brightness adjusts depending on ambient UV light • Monocular: display only appears in the one lens • Microphones, speakers, cameras Meta: "The display is placed off to the side, so it doesn’t obstruct your view. And it isn’t on all the time — it’s designed for short interactions that you’re always in control of. This isn’t about strapping a phone to your face. It’s about helping you quickly accomplish some of your everyday tasks without breaking your flow. It’s the first product that takes microphones, speakers, cameras, and a full-color display backed with compute and AI — and puts it all together in a single device that’s stylish and comfortable." Hits U.S. shelves Sept 30th. Expansion to Canada, France, Italy, and the UK is planned for early 2026.

Sawyer Merritt

1,842,801 Aufrufe • vor 1 Jahr

Most AI video tools give you a clip and leave the rest to you. I used Pexo to make this launch-style video for Nvestiq. Pexo is a conversational AI video agent. You give it a brief, a URL, or source files, and it helps bring the script, scenes, motion, voiceover, captions, and music together into a complete video. What clicked for me isn’t just the output. You can talk through the goal, review the direction, and keep asking for changes in the same conversation. With Mark to Fix, you can circle a detail on the video and leave a comment about what needs changing. It feels closer to giving feedback on a doc than learning another editor. For a small team, that’s the appeal: focus on what the video needs to say, without having to learn After Effects first. You still need to review the result and refine it. Here’s the video 👇 Pexo
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Most AI video tools give you a clip and leave the rest to you. I used Pexo to make this launch-style video for Nvestiq. Pexo is a conversational AI video agent. You give it a brief, a URL, or source files, and it helps bring the script, scenes, motion, voiceover, captions, and music together into a complete video. What clicked for me isn’t just the output. You can talk through the goal, review the direction, and keep asking for changes in the same conversation. With Mark to Fix, you can circle a detail on the video and leave a comment about what needs changing. It feels closer to giving feedback on a doc than learning another editor. For a small team, that’s the appeal: focus on what the video needs to say, without having to learn After Effects first. You still need to review the result and refine it. Here’s the video 👇 Pexo

MR. SHAHBAZ

40,234 Aufrufe • vor 3 Tagen

Sam Altman, CEO of OpenAI, on why the iPhone, the greatest consumer device ever made, is the wrong hardware for the AI era: Sam argues the iPhone's basic design wasn't made for a world where AI needs to live alongside your entire life. "I think the iPhone is currently the greatest piece of consumer hardware ever made by a lot. Like, incredible what that has done." The iPhone was designed for a pre-AI world. Sam Altman explains: "It was not meant for a world where you needed a piece of hardware that could absorb all of the context of your life. You know, you can use the phone, you can stop using the phone, you can put it in your pocket, but it's kind of like on or off." That binary, on or off, in use or in your pocket, is the core mismatch. A device that flips between active and dormant can't continuously absorb the context that a personal AGI would need to actually be useful to you. Sam uses the conversation he's having in that moment as the example: "This has been a very interesting conversation. I would love this to be referenced by my personal AGI later, but my phone is in my pocket and it's not going to understand." The vision he's pointing toward is a device that participates differently: "I would like a device that, if I wanted to, can participate and understand and know about this conversation." The shift Sam is describing is from a device you pick up and put down, to one that quietly captures the context of your life. Without that continuous context, a personal AGI can't actually be personal.
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Sam Altman, CEO of OpenAI, on why the iPhone, the greatest consumer device ever made, is the wrong hardware for the AI era: Sam argues the iPhone's basic design wasn't made for a world where AI needs to live alongside your entire life. "I think the iPhone is currently the greatest piece of consumer hardware ever made by a lot. Like, incredible what that has done." The iPhone was designed for a pre-AI world. Sam Altman explains: "It was not meant for a world where you needed a piece of hardware that could absorb all of the context of your life. You know, you can use the phone, you can stop using the phone, you can put it in your pocket, but it's kind of like on or off." That binary, on or off, in use or in your pocket, is the core mismatch. A device that flips between active and dormant can't continuously absorb the context that a personal AGI would need to actually be useful to you. Sam uses the conversation he's having in that moment as the example: "This has been a very interesting conversation. I would love this to be referenced by my personal AGI later, but my phone is in my pocket and it's not going to understand." The vision he's pointing toward is a device that participates differently: "I would like a device that, if I wanted to, can participate and understand and know about this conversation." The shift Sam is describing is from a device you pick up and put down, to one that quietly captures the context of your life. Without that continuous context, a personal AGI can't actually be personal.

Big Brain AI

25,447 Aufrufe • vor 4 Monaten

META automatically opted all users into its new deepfake AI system “Meta is facing backlash over a new AI feature just rolled out on Instagram” The app is called Muse Image. It allows users to make realistic deepfakes using other people's photos. Any adult with a public Instagram account was automatically included. There are ways to turn it off and opt out, if you don’t do this everything you post of yourself can be used for deepfakes - You go to your settings and search sharing and reuse - Then you scroll down to allow people to ‘create with and reuse your content’ and toggle both of those off
1:40

META automatically opted all users into its new deepfake AI system “Meta is facing backlash over a new AI feature just rolled out on Instagram” The app is called Muse Image. It allows users to make realistic deepfakes using other people's photos. Any adult with a public Instagram account was automatically included. There are ways to turn it off and opt out, if you don’t do this everything you post of yourself can be used for deepfakes - You go to your settings and search sharing and reuse - Then you scroll down to allow people to ‘create with and reuse your content’ and toggle both of those off

Wall Street Apes

53,399 Aufrufe • vor 2 Monaten

Meta just launched its 1st image model after Mark Zuckerberg’s AI shake-up. Muse Image is Meta Superintelligence Labs' first image generator after Muse Spark. They said the model will power new editing features in Meta’s Instagram photo app and be added to its marketer tools for creating platform ads. Meta had relied on Midjourney and Black Forest Labs for generation inside Meta AI. Muse Image brings that layer in-house, so Meta controls quality, cost, and product timing. Consumers get free access through Meta AI, WhatsApp chats, and Instagram Stories. Power users need Meta One or another monthly plan when free limits run out. Users can start from prompts, add photos, annotate edits, or sketch changes directly. Meta says it can erase photobombers, create QR codes, and keep visual text readable. Advertisers get variants through Advantage+ creative, with edits, style swaps, and brand-matched versions. Meta says internal tests trail GPT Image 2 but beat Nano Banana 2 on editing. This is another move in Meta's effort in trying to convert AI infrastructure spending into revenue beyond social ads.
0:10

Meta just launched its 1st image model after Mark Zuckerberg’s AI shake-up. Muse Image is Meta Superintelligence Labs' first image generator after Muse Spark. They said the model will power new editing features in Meta’s Instagram photo app and be added to its marketer tools for creating platform ads. Meta had relied on Midjourney and Black Forest Labs for generation inside Meta AI. Muse Image brings that layer in-house, so Meta controls quality, cost, and product timing. Consumers get free access through Meta AI, WhatsApp chats, and Instagram Stories. Power users need Meta One or another monthly plan when free limits run out. Users can start from prompts, add photos, annotate edits, or sketch changes directly. Meta says it can erase photobombers, create QR codes, and keep visual text readable. Advertisers get variants through Advantage+ creative, with edits, style swaps, and brand-matched versions. Meta says internal tests trail GPT Image 2 but beat Nano Banana 2 on editing. This is another move in Meta's effort in trying to convert AI infrastructure spending into revenue beyond social ads.

Rohan Paul

20,377 Aufrufe • vor 2 Monaten

Well, Anthropic didn’t release Fable Sonnet or Opus, but they did give us something good. They did however drop the ‘Model Hardware Standard’. Basically, the idea is to give AI agents a universal way to operate physical hardware. In one of the videos and the article, they said 80% of a scientist’s time can be creating the framework of the experiment. So instead of spending weeks building bespoke integrations for every device, Anthropic’s Model Hardware Standard gives them a shared driver layer with simple primitives like read/write, shows the device’s capabilities and safety limits, and then lets the agent control everything through MCP. In one example, Anthropic said Claude adjusted a laser and watched through a camera to see how the beam moved, iterated on the adjustment, and then compiled what it learned into a deterministic script so it could align the laser again without reasoning through every step from scratch. It almost reminds me of what Core Automation is doing.
0:22

Well, Anthropic didn’t release Fable Sonnet or Opus, but they did give us something good. They did however drop the ‘Model Hardware Standard’. Basically, the idea is to give AI agents a universal way to operate physical hardware. In one of the videos and the article, they said 80% of a scientist’s time can be creating the framework of the experiment. So instead of spending weeks building bespoke integrations for every device, Anthropic’s Model Hardware Standard gives them a shared driver layer with simple primitives like read/write, shows the device’s capabilities and safety limits, and then lets the agent control everything through MCP. In one example, Anthropic said Claude adjusted a laser and watched through a camera to see how the beam moved, iterated on the adjustment, and then compiled what it learned into a deterministic script so it could align the laser again without reasoning through every step from scratch. It almost reminds me of what Core Automation is doing.

Chris

41,767 Aufrufe • vor 28 Tagen

Strangers wearing Meta glasses could soon identify you on sight, and the secret code to do it is already hiding on 50 million phones... A WIRED code analysis found a hidden feature called "NameTag" inside the Meta AI app that pairs with its Ray-Ban and Oakley smart glasses. Once activated, it converts every face the glasses see into a biometric faceprint and checks it against a database on the phone, one built to receive updates from Meta's servers. The components have been there since January, even as Meta publicly insisted it was still "thinking through" the idea. Researchers who tested it got back two words: "Person recognized." This is the same technology Meta killed in 2021 after deleting a billion faceprints and paying out over $2 billion in biometric settlements. One security researcher warns Meta has built the capacity to turn its customers into "a distributed surveillance machine." Meta says no final decision has been made. The code suggests they're one switch away. Source: WIRED
2:00

Strangers wearing Meta glasses could soon identify you on sight, and the secret code to do it is already hiding on 50 million phones... A WIRED code analysis found a hidden feature called "NameTag" inside the Meta AI app that pairs with its Ray-Ban and Oakley smart glasses. Once activated, it converts every face the glasses see into a biometric faceprint and checks it against a database on the phone, one built to receive updates from Meta's servers. The components have been there since January, even as Meta publicly insisted it was still "thinking through" the idea. Researchers who tested it got back two words: "Person recognized." This is the same technology Meta killed in 2021 after deleting a billion faceprints and paying out over $2 billion in biometric settlements. One security researcher warns Meta has built the capacity to turn its customers into "a distributed surveillance machine." Meta says no final decision has been made. The code suggests they're one switch away. Source: WIRED

Mario Nawfal

72,538 Aufrufe • vor 3 Monaten

Everyone wrote Apple off as the AI loser, but one hardware spec might flip that story upside down (Save this). @jason called Apple a screaming buy on the back of a single chip detail. The rumored M7 Ultra, expected around 2028, is designed to support up to 1.5TB of unified memory, enough to run frontier class trillion parameter AI models locally, with no cloud required. The Street's bear case on Apple is straightforward. Apple has no frontier model of its own, Siri has stumbled for years and the company effectively rents OpenAI's models for its hardest queries. That narrative treats Apple as the one Magnificent Seven name that missed the AI wave entirely but the bull case flips that framing on its head. If frontier AI models keep shrinking and getting cheaper to run, Apple doesn't need the smartest model in the world, it just needs to own the device that model runs on. And unified memory is the mechanism that makes this possible. Unlike traditional systems where the CPU and GPU each need separate memory, Apple's architecture lets the CPU, GPU and Neural Engine draw from one shared pool. A fully specced M7 Ultra could theoretically run something on the scale of a 1.2 trillion parameter model locally and that capability plugs directly into the one advantage Apple has spent over a decade building: privacy. Apple has already shipped Private Cloud Compute, a system designed so even Apple can't access user data processed off device. Apple doubled down on this at WWDC 2026, framing on device privacy as non-negotiable while rivals default to the cloud. If the best AI models get small enough to run on Apple silicon, the moat stops being the model and becomes the hardware it has to sit on. Milk Road Pro remains bullish on Apple and it remains as one of our core positions, if you want the full thesis + our full AI trades, come join us using the link below for just a $1.
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Everyone wrote Apple off as the AI loser, but one hardware spec might flip that story upside down (Save this). @jason called Apple a screaming buy on the back of a single chip detail. The rumored M7 Ultra, expected around 2028, is designed to support up to 1.5TB of unified memory, enough to run frontier class trillion parameter AI models locally, with no cloud required. The Street's bear case on Apple is straightforward. Apple has no frontier model of its own, Siri has stumbled for years and the company effectively rents OpenAI's models for its hardest queries. That narrative treats Apple as the one Magnificent Seven name that missed the AI wave entirely but the bull case flips that framing on its head. If frontier AI models keep shrinking and getting cheaper to run, Apple doesn't need the smartest model in the world, it just needs to own the device that model runs on. And unified memory is the mechanism that makes this possible. Unlike traditional systems where the CPU and GPU each need separate memory, Apple's architecture lets the CPU, GPU and Neural Engine draw from one shared pool. A fully specced M7 Ultra could theoretically run something on the scale of a 1.2 trillion parameter model locally and that capability plugs directly into the one advantage Apple has spent over a decade building: privacy. Apple has already shipped Private Cloud Compute, a system designed so even Apple can't access user data processed off device. Apple doubled down on this at WWDC 2026, framing on device privacy as non-negotiable while rivals default to the cloud. If the best AI models get small enough to run on Apple silicon, the moat stops being the model and becomes the hardware it has to sit on. Milk Road Pro remains bullish on Apple and it remains as one of our core positions, if you want the full thesis + our full AI trades, come join us using the link below for just a $1.

Milk Road AI

37,459 Aufrufe • vor 2 Monaten

Elon Musk: “I am not working on a phone. I can tell you where I think things will go, which is that we’re not going to have a phone in the traditional sense. What we’ll call a phone will really be an edge node for AI inference with some radios to connect. Essentially, you’ll have AI on the server side communicating with AI on your device—formerly known as a phone—and generating real-time video of anything you could possibly want. There won’t be operating systems or apps in the future; it’ll just be a device that’s there for the screen and audio, and to put as much AI on the device as possible.” (via Joe Rogan Experience Podcast)
2:10

Elon Musk: “I am not working on a phone. I can tell you where I think things will go, which is that we’re not going to have a phone in the traditional sense. What we’ll call a phone will really be an edge node for AI inference with some radios to connect. Essentially, you’ll have AI on the server side communicating with AI on your device—formerly known as a phone—and generating real-time video of anything you could possibly want. There won’t be operating systems or apps in the future; it’ll just be a device that’s there for the screen and audio, and to put as much AI on the device as possible.” (via Joe Rogan Experience Podcast)

Sawyer Merritt

4,407,497 Aufrufe • vor 10 Monaten

Meta just revealed VR glasses that look like regular eyewear instead of a bulky headset. At MetaConnect 2026, Mark Zuckerberg introduced MetaVR Glasses, which house micro OLED displays and sensors while a separate tethered puck handles the Snapdragon Reality Elite processor, battery, and storage. Zuckerberg framed it as Meta's first true VR glasses rather than a full headset, pitching it as a private cinema, a multi monitor workstation, and a game console in one device. In demos, the glasses reportedly came close to Apple Vision Pro quality at under half the price and about a sixth the weight, with a virtual hand tracked keyboard that projects onto any flat surface. The device runs on Meta's Metis AI agent as its main interface, letting users control it through voice. Meta's Alexandr Wang said Walmart, Best Buy, GapCo, and other retailers are integrating with Metis for shopping and productivity features.
1:14

Meta just revealed VR glasses that look like regular eyewear instead of a bulky headset. At MetaConnect 2026, Mark Zuckerberg introduced MetaVR Glasses, which house micro OLED displays and sensors while a separate tethered puck handles the Snapdragon Reality Elite processor, battery, and storage. Zuckerberg framed it as Meta's first true VR glasses rather than a full headset, pitching it as a private cinema, a multi monitor workstation, and a game console in one device. In demos, the glasses reportedly came close to Apple Vision Pro quality at under half the price and about a sixth the weight, with a virtual hand tracked keyboard that projects onto any flat surface. The device runs on Meta's Metis AI agent as its main interface, letting users control it through voice. Meta's Alexandr Wang said Walmart, Best Buy, GapCo, and other retailers are integrating with Metis for shopping and productivity features.

AGTP

18,517 Aufrufe • vor 19 Stunden

HE MAKES MONEY IN REAL ESTATE WITHOUT BUYING, SELLING, OR EVEN SEEING A SINGLE HOUSE. HERE'S THE EXACT SETUP He never owns a property. He takes a single listing, turns it into a polished 30-second video, and sells that to the agent who posted it. Realtors need video for their feeds and almost none of them can make it. He sits in the middle and builds the whole thing once as a skill that runs on command Here is the exact process: 1. Pull the listing. Go to Zillow, open any listing, download the high-res images, and grab the property info. That is your raw material 2. Turn photos into video with Google Veo. Get a Google API key for Veo, the image-to-video model. It takes the listing photos and animates them into clean 30-second footage. This is the best one out right now 3. Add the voice with ElevenLabs. Get an ElevenLabs API key. Feed it the listing details and it returns a voiceover that sounds like a real human, not a robot. Lay it over the video with the text on screen 4. Send it with AgentMail. Get an AgentMail key so the system can send the finished email out on its own Then you wire it into one skill. Scrape the listing, send images to Veo, add the ElevenLabs voiceover and on-screen text, then send the email. Feed it each key one at a time and have it build each step Who you sell to: Pull realtors off Zillow and Realtor com whose listings have flat photos and zero video. That gap is your pitch. Send a free sample made from their own listing first, then charge a monthly rate for ongoing clips. One agent with ten listings is a recurring client, fully online Bookmark this
2:06

HE MAKES MONEY IN REAL ESTATE WITHOUT BUYING, SELLING, OR EVEN SEEING A SINGLE HOUSE. HERE'S THE EXACT SETUP He never owns a property. He takes a single listing, turns it into a polished 30-second video, and sells that to the agent who posted it. Realtors need video for their feeds and almost none of them can make it. He sits in the middle and builds the whole thing once as a skill that runs on command Here is the exact process: 1. Pull the listing. Go to Zillow, open any listing, download the high-res images, and grab the property info. That is your raw material 2. Turn photos into video with Google Veo. Get a Google API key for Veo, the image-to-video model. It takes the listing photos and animates them into clean 30-second footage. This is the best one out right now 3. Add the voice with ElevenLabs. Get an ElevenLabs API key. Feed it the listing details and it returns a voiceover that sounds like a real human, not a robot. Lay it over the video with the text on screen 4. Send it with AgentMail. Get an AgentMail key so the system can send the finished email out on its own Then you wire it into one skill. Scrape the listing, send images to Veo, add the ElevenLabs voiceover and on-screen text, then send the email. Feed it each key one at a time and have it build each step Who you sell to: Pull realtors off Zillow and Realtor com whose listings have flat photos and zero video. That gap is your pitch. Send a free sample made from their own listing first, then charge a monthly rate for ongoing clips. One agent with ten listings is a recurring client, fully online Bookmark this

Yarchi

106,174 Aufrufe • vor 3 Monaten

Introducing Sai-Fi: an open source app that lets you talk to AI agent Sai through a pair of Meta Ray-Ban glasses. Sai is an autonomous computer-use agent. It can see the screen, move the mouse, type, and keep working even when you are away. We used Meta Ray-Bans for the first prototype but the glasses aren't really the point. Underneath is the Sai API and a voice concierge designed to work across different devices. The interface could live in an earpiece, a car, a small box on a workbench, or something nobody has built yet. Give it a microphone, a speaker, and a connection, and Sai has another way in. The bigger idea is an autonomous computer you can reach from anywhere. Bring Sai to your own Meta Ray-Ban glasses today!
1:01

Introducing Sai-Fi: an open source app that lets you talk to AI agent Sai through a pair of Meta Ray-Ban glasses. Sai is an autonomous computer-use agent. It can see the screen, move the mouse, type, and keep working even when you are away. We used Meta Ray-Bans for the first prototype but the glasses aren't really the point. Underneath is the Sai API and a voice concierge designed to work across different devices. The interface could live in an earpiece, a car, a small box on a workbench, or something nobody has built yet. Give it a microphone, a speaker, and a connection, and Sai has another way in. The bigger idea is an autonomous computer you can reach from anywhere. Bring Sai to your own Meta Ray-Ban glasses today!

Simular

236,034 Aufrufe • vor 1 Monat

i think AI wearables built around real-world context will be a big new category. Vocci is one early example. it's basically an Oura Ring for AI that can capture real-life context your agent can act on: > you’re in a meeting or grabbing coffee with someone, so you double-tap the ring to start recording > it picks up everyone around the table from up to 5 meters away and can hold 8 hours on its own > later, you open claude or chatgpt and pull up what was said to turn it into notes, a plan or follow-up > if something needs doing, you long-press the ring and tell Vocci AI what to do. it processes the task, then triggers gmail, notion or one of 1,000+ connected apps to carry it out imo we’re probably going to see a lot more AI wearables built for stuff that happens away from a screen.
1:10

i think AI wearables built around real-world context will be a big new category. Vocci is one early example. it's basically an Oura Ring for AI that can capture real-life context your agent can act on: > you’re in a meeting or grabbing coffee with someone, so you double-tap the ring to start recording > it picks up everyone around the table from up to 5 meters away and can hold 8 hours on its own > later, you open claude or chatgpt and pull up what was said to turn it into notes, a plan or follow-up > if something needs doing, you long-press the ring and tell Vocci AI what to do. it processes the task, then triggers gmail, notion or one of 1,000+ connected apps to carry it out imo we’re probably going to see a lot more AI wearables built for stuff that happens away from a screen.

Ole Lehmann

35,829 Aufrufe • vor 1 Monat

Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.
1:53

Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.

QVAC

11,382,936 Aufrufe • vor 3 Monaten

Investors may be underestimating the optionality of $META AI glasses. In a conversation with Jensen Huang, Mark Zuckerberg laid out the vision — and it’s bigger than most realize. Ray-Ban $META glasses started with a simple constraint: make something that looks great, and fit as much technology as possible within that form factor. Camera, microphone, speakers, live streaming, WhatsApp video calls. But then the unexpected happened — that same sensor package turned out to be exactly what you need to talk to AI. That wasn’t the plan. It happened organically. And it changes the trajectory of the product potential. Zuckerberg’s projection: displayless AI glasses at a ~$300 price point becoming a product that tens — potentially hundreds — of millions of people eventually own. Ambient AI interaction built into something people already wear. Real-time translation. Visual language understanding. Etc. The optionality here is meaningful. $NVDA $EL.PA ___ YouTube: Nvidia | AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg (07/29/2024)
3:15

Investors may be underestimating the optionality of $META AI glasses. In a conversation with Jensen Huang, Mark Zuckerberg laid out the vision — and it’s bigger than most realize. Ray-Ban $META glasses started with a simple constraint: make something that looks great, and fit as much technology as possible within that form factor. Camera, microphone, speakers, live streaming, WhatsApp video calls. But then the unexpected happened — that same sensor package turned out to be exactly what you need to talk to AI. That wasn’t the plan. It happened organically. And it changes the trajectory of the product potential. Zuckerberg’s projection: displayless AI glasses at a ~$300 price point becoming a product that tens — potentially hundreds — of millions of people eventually own. Ambient AI interaction built into something people already wear. Real-time translation. Visual language understanding. Etc. The optionality here is meaningful. $NVDA $EL.PA ___ YouTube: Nvidia | AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg (07/29/2024)

Dimitry Nakhla | Babylon Capital®

38,799 Aufrufe • vor 5 Monaten

M E S S I E R | Aver AI It's a real pleasure to collaborate with Aver AI, a true builder's project that has delivered on its promise by integrating the P2P Exchange into its on-chain #AI agent. This integration allows anyone to buy or sell tokens directly on the P2P Exchange via its on-chain AI #agent, while also providing real-time market analysis, technical insights, and optimized strategy execution. Check out the live showcase below of the first-ever transaction using the AverAI agent and see just how easy it is!
1:25

M E S S I E R | Aver AI It's a real pleasure to collaborate with Aver AI, a true builder's project that has delivered on its promise by integrating the P2P Exchange into its on-chain #AI agent. This integration allows anyone to buy or sell tokens directly on the P2P Exchange via its on-chain AI #agent, while also providing real-time market analysis, technical insights, and optimized strategy execution. Check out the live showcase below of the first-ever transaction using the AverAI agent and see just how easy it is!

MESSIER | M87

26,236 Aufrufe • vor 1 Jahr