Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Detect head gestures with smart glasses Used Edge Impulse to create a simple classifier to detect head gestures (nod and shake) based on motion data, all running on the glasses itself via Tensorflow lite Using the Omi AI Omi Glass (based on the Seeed Studio XIAO ESP32-S3 Sense) running... show more

Brilliant Wear

1,592 subscribers

85,328 views • 6 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Local AI Assistant on Smart Glasses Using our Wearables SDK to take a picture, ask a question with Whisper’s speech to text, and use Chrome’s Prompt API (powered by Gemini Nano) to generate a response, displaying the results back on the glasses’ display Works with compatible smart glasses (in this case the Brilliant Labs Frame running custom firmware)

Local AI Assistant on Smart Glasses Using our Wearables SDK to take a picture, ask a question with Whisper’s speech to text, and use Chrome’s Prompt API (powered by Gemini Nano) to generate a response, displaying the results back on the glasses’ display Works with compatible smart glasses (in this case the Brilliant Labs Frame running custom firmware)

Brilliant Wear

49,490 views • 8 months ago

Be the detail you want to see in the world Custom hybrid UIKit gestures + SwiftUI for all the actual content - both reading/writing from a central observable variable store (not using vermont but a custom library I wrote that’s based off of simple closures and AsyncStream) for completely synced animations. Will share more publicly soon on how it’s built :-)

Be the detail you want to see in the world Custom hybrid UIKit gestures + SwiftUI for all the actual content - both reading/writing from a central observable variable store (not using vermont but a custom library I wrote that’s based off of simple closures and AsyncStream) for completely synced animations. Will share more publicly soon on how it’s built :-)

Tyler Angert

16,760 views • 5 months ago

People counting in zones using Ultralytics YOLO26 🧑‍🤝‍🧑 In this demo, people are moving on elevators. I used a custom-trained YOLO26 model to detect and track each person, then applied the object counting in zones solution to count the number of people within each zone. 🙂 #people #retail #MachineLearning

People counting in zones using Ultralytics YOLO26 🧑‍🤝‍🧑 In this demo, people are moving on elevators. I used a custom-trained YOLO26 model to detect and track each person, then applied the object counting in zones solution to count the number of people within each zone. 🙂 #people #retail #MachineLearning

Muhammad Rizwan Munawar

14,980 views • 1 month ago

AutoGPTs are all the rage, but everyone’s running it on their MacBooks. Well, I got Toran Bruce Richards’s AutoGPT working on my iPhone using Replit ⠕! I can now summon AI agents on-the-go! Here’s how to get it up and running, without writing a line of code, in under 60 seconds!

AutoGPTs are all the rage, but everyone’s running it on their MacBooks. Well, I got Toran Bruce Richards’s AutoGPT working on my iPhone using Replit ⠕! I can now summon AI agents on-the-go! Here’s how to get it up and running, without writing a line of code, in under 60 seconds!

Nate Chan

363,600 views • 3 years ago

Running multiple accounts on one device was never supposed to work at scale. Yet professionals do it every day without bans, flags, or leaks. Octo Browser is the reason. A next-gen anti-detect infrastructure built to replicate real devices, secure data, and manage hundreds of accounts seamlessly. Multi-accounting isn’t the risk anymore; weak tools are. 👇

Running multiple accounts on one device was never supposed to work at scale. Yet professionals do it every day without bans, flags, or leaks. Octo Browser is the reason. A next-gen anti-detect infrastructure built to replicate real devices, secure data, and manage hundreds of accounts seamlessly. Multi-accounting isn’t the risk anymore; weak tools are. 👇

Alif Hossain

12,148 views • 2 months ago

📢 Meta just posted this small video on Project Orion which looks awesome and (brings me back to ML1 days ☺️) except for the form-factor which makes it more compelling to a wider audience. - Full-color holographic lenses (waveguides) 70 degree FoV diagonal. - Lightweight and comfortable design for extended wear. - Hand tracking for natural gestures. - Voice commands to control apps hands-free. - Gesture recognition for quick interactions. - Neural interface wristband translates biometric signals into commands. - Spatial awareness to detect user movement and environment. - Eye tracking for focus-based input and selection. - Spatial audio enables immersive sound that matches visuals. - Computer puck similar to ML1 & ML2 to offload its processing. - Battery life is up to 3 hours for the AR Glasses & all day for the compute puck.

📢 Meta just posted this small video on Project Orion which looks awesome and (brings me back to ML1 days ☺️) except for the form-factor which makes it more compelling to a wider audience. - Full-color holographic lenses (waveguides) 70 degree FoV diagonal. - Lightweight and comfortable design for extended wear. - Hand tracking for natural gestures. - Voice commands to control apps hands-free. - Gesture recognition for quick interactions. - Neural interface wristband translates biometric signals into commands. - Spatial awareness to detect user movement and environment. - Eye tracking for focus-based input and selection. - Spatial audio enables immersive sound that matches visuals. - Computer puck similar to ML1 & ML2 to offload its processing. - Battery life is up to 3 hours for the AR Glasses & all day for the compute puck.

Dilmer

45,962 views • 1 year ago

The Vision Pro may be off to a rocky start, but Apple might not be done trying to put hardware on your face. Liquid Glass, the design motif that is going to change the look and feel of all Apple devices starting later this year, takes explicit inspiration from the Vision Pro's augmented reality interface. And as Meta's Ray-Bans continue growing in popularity, and Google takes a second swing at smart glasses, the rumor mill is in full swing about the potential for Apple to enter the market. Especially among those tinkering with the early developer access to Liquid Glass, the potential for it to fuel a smart glass-oriented operating system is clear. After all, transparent design elements are most important when they might prevent you from running into something. Get immersed in more rumors here:

The Vision Pro may be off to a rocky start, but Apple might not be done trying to put hardware on your face. Liquid Glass, the design motif that is going to change the look and feel of all Apple devices starting later this year, takes explicit inspiration from the Vision Pro's augmented reality interface. And as Meta's Ray-Bans continue growing in popularity, and Google takes a second swing at smart glasses, the rumor mill is in full swing about the potential for Apple to enter the market. Especially among those tinkering with the early developer access to Liquid Glass, the potential for it to fuel a smart glass-oriented operating system is clear. After all, transparent design elements are most important when they might prevent you from running into something. Get immersed in more rumors here:

TechCrunch

26,535 views • 1 year ago

Atomic Bot put Hermes and OpenClaw head-to-head on the exact same task, running the same model (Qwen 3.6 35B) with the same goal: analyzing GitHub history, mapping growth spikes, and shipping a live dashboard in the browser. Key metrics to watch for 👀 > Time to complete the task > Tokens spent > Quality of the final result (dashboard in browser)

Atomic Bot put Hermes and OpenClaw head-to-head on the exact same task, running the same model (Qwen 3.6 35B) with the same goal: analyzing GitHub history, mapping growth spikes, and shipping a live dashboard in the browser. Key metrics to watch for 👀 > Time to complete the task > Tokens spent > Quality of the final result (dashboard in browser)

🚨 AI News | TestingCatalog

141,898 views • 2 months ago

Lynx quick test fit, prints not fully cleaned yet. Wanted to be able to create a more refined neck on this one based on how the head fits. Slightly smaller base overall to fit the customer better. Foaming TPU (which needs to be sanded to be fully cleaned up) and PLA parts where it needs it. WIP 🚧

Lynx quick test fit, prints not fully cleaned yet. Wanted to be able to create a more refined neck on this one based on how the head fits. Slightly smaller base overall to fit the customer better. Foaming TPU (which needs to be sanded to be fully cleaned up) and PLA parts where it needs it. WIP 🚧

Val / LatinVixen

13,970 views • 11 months ago

OWLMAXXING for the Neck One of the most Underrated muscle groups to train: the neck supports the brain, and being strong in it means less neck pain, better athletic movement, and a thicker neck enhancing aesthetics. I like to OWLMAXX with this simple dumbbell rotation exercise done on both sides of the head, the front of the head, and the back of the head as well. The aim of the game is to take the neck through extended ranges of motion in a controlled manner with added weight. You can also use a small weight plate if you're just starting with this exercise, or just the weight of the head itself hanging off the bench is a great place to start.

OWLMAXXING for the Neck One of the most Underrated muscle groups to train: the neck supports the brain, and being strong in it means less neck pain, better athletic movement, and a thicker neck enhancing aesthetics. I like to OWLMAXX with this simple dumbbell rotation exercise done on both sides of the head, the front of the head, and the back of the head as well. The aim of the game is to take the neck through extended ranges of motion in a controlled manner with added weight. You can also use a small weight plate if you're just starting with this exercise, or just the weight of the head itself hanging off the bench is a great place to start.

⚡️🌞 Sol Brah 🌞🐬

63,461 views • 1 month ago

the opportunity's AI UGC opened up for affiliate is absolutely insane I built an AI UGC system to promote sweeps offers on Glitchy just using Arcads + Claude Cowork Claude literally: > Scans TikTok / Reddit based on what I'm promoting > Generates me 50 hooks using this information > Creates me a full script based on the hooks > Uses the Arcads API to decide what tools to use for the script and generates the video > Then will analyse what hooks did well and which didn't and change the hook or CTA based on that information I can literally sleep while it cooks me up a weeks worth of content I made a full guide on how to set Claude Cowork up to generate videos with Arcads if you want it comment "UGC" and i'll send it to you (Must be following so i can DM you)

the opportunity's AI UGC opened up for affiliate is absolutely insane I built an AI UGC system to promote sweeps offers on Glitchy just using Arcads + Claude Cowork Claude literally: > Scans TikTok / Reddit based on what I'm promoting > Generates me 50 hooks using this information > Creates me a full script based on the hooks > Uses the Arcads API to decide what tools to use for the script and generates the video > Then will analyse what hooks did well and which didn't and change the hook or CTA based on that information I can literally sleep while it cooks me up a weeks worth of content I made a full guide on how to set Claude Cowork up to generate videos with Arcads if you want it comment "UGC" and i'll send it to you (Must be following so i can DM you)

Pounds

17,103 views • 3 months ago

One of the biggest updates to our SDK! You can now see data on all available relays and build a custom circuit, opening up the ability for algorithms or AI to optimize routing for your app. Check out the new docs: 🔹 #ProofOfFreedom

One of the biggest updates to our SDK! You can now see data on all available relays and build a custom circuit, opening up the ability for algorithms or AI to optimize routing for your app. Check out the new docs: 🔹 #ProofOfFreedom

ANyONe Protocol

104,854 views • 1 year ago

ayo edebiri got a special collection of ‘the bear’ themed plates made based on 6 recipes from the series 😍 “bringing these to life wouldn't have been done w/o ayo's brain, she is truly a renaissance woman and was an absolute dream to create with” 📸 via frankieceramics on ig

ayo edebiri got a special collection of ‘the bear’ themed plates made based on 6 recipes from the series 😍 “bringing these to life wouldn't have been done w/o ayo's brain, she is truly a renaissance woman and was an absolute dream to create with” 📸 via frankieceramics on ig

ayo’s wannabe best friend 🤎

131,814 views • 7 days ago

DEMO IS LIVE! Create your Agents, chat, ask questions, and get ready to tokenize them soon. Negotiate with our businessman and grab some cool stuff 👀 What’s the AI Agent Layer? 👇 It’s a dynamic ecosystem of autonomous AI agents. On the platform, you can create AI Agents using data from X and user inputs. Coming soon: Each AI Agent will be tokenized and linked to our native token ($AIFUN). Once the bonding curve reaches 100%, tokens become tradable on DEX. Stay Tuned for our TGE 👆

DEMO IS LIVE! Create your Agents, chat, ask questions, and get ready to tokenize them soon. Negotiate with our businessman and grab some cool stuff 👀 What’s the AI Agent Layer? 👇 It’s a dynamic ecosystem of autonomous AI agents. On the platform, you can create AI Agents using data from X and user inputs. Coming soon: Each AI Agent will be tokenized and linked to our native token ($AIFUN). Once the bonding curve reaches 100%, tokens become tradable on DEX. Stay Tuned for our TGE 👆

AI Agent Layer | AIFUN

73,622 views • 1 year ago

Here's what The Browser Company's AI eng & ML teams are working on for Dia right now: (This is a pitch to come work for us; info at end) 🤖 COMPUTER USE – we've built our own bespoke APIs on top of Chromium to optimize latency, accuracy, and cost of computer-using agents. Demo attached. Big breakthroughs here in recent weeks. 🛡️ ON-DEVICE MODELS – we've built our own custom infra to run everything from encoder-only models to full LLMs on device. It's cross-platform, supports LoRa adapters, and optimized for the GPU. This system preserves privacy and enables fast inference times. 🧠 MEMORY – with your permission, Dia automatically tailors your AI experiences to you, personally, based on the tabs you open while browsing normally every day. We're also bringing vertical memory to specific features. ♻️ DATA FLYWHEELS – our Fall/Winter P0 is to double-down on training custom models based on implicit signals from daily use of Dia. Dia should get smarter and more useful the more people use it. Whether via RL, auto-generated prompts, or otherwise. If this work sounds interesting to you please visit our jobs page or email careers@thebrowser.company. Hiring nearly every related role -- from ML engineers to people prototyping with AI and context/prompt writers -- everyone encouraged to apply!!

Here's what The Browser Company's AI eng & ML teams are working on for Dia right now: (This is a pitch to come work for us; info at end) 🤖 COMPUTER USE – we've built our own bespoke APIs on top of Chromium to optimize latency, accuracy, and cost of computer-using agents. Demo attached. Big breakthroughs here in recent weeks. 🛡️ ON-DEVICE MODELS – we've built our own custom infra to run everything from encoder-only models to full LLMs on device. It's cross-platform, supports LoRa adapters, and optimized for the GPU. This system preserves privacy and enables fast inference times. 🧠 MEMORY – with your permission, Dia automatically tailors your AI experiences to you, personally, based on the tabs you open while browsing normally every day. We're also bringing vertical memory to specific features. ♻️ DATA FLYWHEELS – our Fall/Winter P0 is to double-down on training custom models based on implicit signals from daily use of Dia. Dia should get smarter and more useful the more people use it. Whether via RL, auto-generated prompts, or otherwise. If this work sounds interesting to you please visit our jobs page or email [email protected]. Hiring nearly every related role -- from ML engineers to people prototyping with AI and context/prompt writers -- everyone encouraged to apply!!

Josh Miller

67,937 views • 10 months ago

$📢Announcing our 3D head avatar benchmark📢 Two tasks with hidden test sets: - Dynamic Novel View Synthesis on Heads - Monocular FLAME-driven Head Avatar Reconstruction Our goal is to make research on 3D head avatars more comparable and ultimately increase the realism of digital humans. The benchmark studies distinct phenomena of 3D head avatar creation, such as extreme facial expressions, slow motion captures of shaking long hair, or complicated light reflection and refraction patterns of glasses. The two benchmark tasks assess two core desiderata of 3D avatars: While the novel view synthesis challenge focuses on best possible rendering quality of complex moving scenes, the avatar animation challenge is concerned with how well a driving signal is translated into an avatar. Evaluations are light-weight and consist of diverse video recordings from the popular NeRSemble dataset with a hidden test set. Participation in the benchmark is therefore straight-forward and requires only 5 reconstructions per task. Leaderboard and benchmark submission: Benchmark data access and toolkit: Great work by Tobias Kirschstein Simon Giebenhain$

📢Announcing our 3D head avatar benchmark📢 Two tasks with hidden test sets: - Dynamic Novel View Synthesis on Heads - Monocular FLAME-driven Head Avatar Reconstruction Our goal is to make research on 3D head avatars more comparable and ultimately increase the realism of digital humans. The benchmark studies distinct phenomena of 3D head avatar creation, such as extreme facial expressions, slow motion captures of shaking long hair, or complicated light reflection and refraction patterns of glasses. The two benchmark tasks assess two core desiderata of 3D avatars: While the novel view synthesis challenge focuses on best possible rendering quality of complex moving scenes, the avatar animation challenge is concerned with how well a driving signal is translated into an avatar. Evaluations are light-weight and consist of diverse video recordings from the popular NeRSemble dataset with a hidden test set. Participation in the benchmark is therefore straight-forward and requires only 5 reconstructions per task. Leaderboard and benchmark submission: Benchmark data access and toolkit: Great work by Tobias Kirschstein Simon Giebenhain

Matthias Niessner

28,075 views • 1 year ago

The Tory government signed up to digital ID in 2015 in lockstep with 193 countries. legislation and frameworks have been created to support all encompassing data collection and sharing. It’s a permissions based control system where access depends on your compliance.

The Tory government signed up to digital ID in 2015 in lockstep with 193 countries. legislation and frameworks have been created to support all encompassing data collection and sharing. It’s a permissions based control system where access depends on your compliance.

Bernie

21,638 views • 9 months ago

From the e/acc trenches to watching Extropic ship. Congrats Beff @ NeurIPS can't wait to run this on actual stochastic silicon instead of simulating it digitally. 65k spins finding equilibrium using THRML. Extropic's THRML library built for their thermodynamic hardware. Currently Running on GPU/CPU now, but one day we might all be running quantum on our devices. Traditional computing fights physics (force bits to 0/1). Thermodynamic computing uses physics (p-bits that naturally fluctuate). For sampling problems, that's orders of magnitude more efficient. This is energy-based inference in your hands. I would have never ventured into looking into this, still way over my head but its so fucking cool wish I could have had the capital to put cheques into extropic, nous_research and rysana but lets build to the top.

From the e/acc trenches to watching Extropic ship. Congrats Beff @ NeurIPS can't wait to run this on actual stochastic silicon instead of simulating it digitally. 65k spins finding equilibrium using THRML. Extropic's THRML library built for their thermodynamic hardware. Currently Running on GPU/CPU now, but one day we might all be running quantum on our devices. Traditional computing fights physics (force bits to 0/1). Thermodynamic computing uses physics (p-bits that naturally fluctuate). For sampling problems, that's orders of magnitude more efficient. This is energy-based inference in your hands. I would have never ventured into looking into this, still way over my head but its so fucking cool wish I could have had the capital to put cheques into extropic, nous_research and rysana but lets build to the top.

Lantos (e/acc)

41,208 views • 8 months ago

I wonder if its possible for 2K to give favorable animations based on positioning of defenders. I understand a USER can choose what hand they want to go up with...but I pass to Herro (AI) here, and instead of going up on the left, he decides to put the ball on a platter for Wemby lol. Would be nice if they could analyze the floor and get animations that make sense for the scenario. #NBA2K27

I wonder if its possible for 2K to give favorable animations based on positioning of defenders. I understand a USER can choose what hand they want to go up with...but I pass to Herro (AI) here, and instead of going up on the left, he decides to put the ball on a platter for Wemby lol. Would be nice if they could analyze the floor and get animations that make sense for the scenario. #NBA2K27

ᴅɪᴍᴇᴡᴏʀᴋ🧪🥼

49,179 views • 9 days ago