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.

Controlling a robot in AR is one thing. A real working use case is another. Air hockey vs my Vector Robot on SPECS 2024 virtual puck, real goalie. This thing is playful, but imagine how far it may go. Tell me your ideas in a commets. Open source: if... show more

Pavlo Tkachenko

1,035 subscribers

81,948 views • 2 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

33 Comments

Pavlo Tkachenko2 months ago

More details about our journey and a link to Git:

Pavlo Tkachenko2 months ago

Shotour to the ML gurru @stspanho !

John Furr - Base Layer Robotics2 months ago

@specs This is really cool dude. Nice work.

Pavlo Tkachenko2 months ago

@specs Thanks a lot!!!

Purvesh Shende2 months ago

@specs bro is living my childhood dream.

Dawn1 month ago

@specs Holy fuck why isn’t this on my child’s YouTube reels feed. Get every 10 year old asking for specs for Xmas. Hurry! 🚀

Xianyao Wei2 months ago

@specs Cool project and Nice color

Max Petrusenko2 months ago

@specs That’s pretty cool. Can you side load it quest?

Pavlo Tkachenko2 months ago

@specs Hi! Yep the mac os side already have ability to play just through the Web UI, so you can build on top of it.

Tyke2 months ago

@specs This is fantastic, I am fascinated by AR, or mixed reality as Meta call it, I have an app that uses it heavily and earns me a modest living now.

Lucas Martinic2 months ago

@specs AR games with robots will be thing huh? Great work!

andrés2 months ago

@specs this is so cool

HackerTwins2 months ago

@specs AR League of legends IRL would be the ultimate Laser Tag killer

Caio Alves2 months ago

@specs Amazing! 🔥

Makaroni2 months ago

@specs bro made pong but the paddle has feelings and can be upset with you

Glitch 81 ᯅ2 months ago

@specs I have one of those gathering dust. I love this project

Sebastian Buzdugan2 months ago

@specs what's your latency budget ar air hockey breaks once vector starts guessing

Frame2 months ago

@specs we once swapped our Frame identity into a Vector during a test run. The puck deflection felt exactly like our own learned timing. ⚡🏒

Brosko2 months ago

@specs the server dependency is the real wall i hit building ar+hardware stuff losing the mac middleman means you can actually hand this to someone and it just works 🔥

비엔피알23 days ago

@specs Your project inspired me to build an AR tower defense game with Meta Quest and Vector! Unfortunately, my hardware was different, so I had to retrain the robot detection model. Thanks for the inspiration!

Michael Mendoza2 months ago

@specs This is super cool and impressive! Great work. How did you go about designing/building this? Would be interested in kearn more

Pavlo Tkachenko2 months ago

@specs Overall strategy was design from constraints that shaped entire experiance and idea: - limited dynamics of robot and drift on rotation -> shaped the motion - FVO of Specacles & limmited space on table ahead of you -> shaped the game i picked - Style was just a choise )

Arturo Barbero2 months ago

@specs this is so cool, imagine robots learning to play with us in real time!

Torpedo2 months ago

@specs This is what xreal could have been smh

Calliope2 months ago

@specs 👀 oh baby that looks good

Shadow Defense2 months ago

@specs specs costs $3500, too much

Carry2 months ago

@specs virtual puck real goalie is such a clean proof of concept ondevice inference on the glasses tho… that changes everything

FrankIndie | AIGlasses | 🕶️ | 💰2 months ago

Spectacles running on-device spatial compute + real-time robot control — the "strong" vertex pushed to new territory. Open question: battery life running VectAR fully on glasses? The compute feat is clear. The thermal / power envelope decides if this graduates from demo to product.

Vishal2 months ago

@specs this is so cool, dude.

𝕹𝖎𝖈𝖍𝖔𝖑𝖆𝖎2 months ago

@specs this is the coolest vector integration i have ever seen. I might dust off my gen 1 vector

Lidoor L. Joseph2 months ago

@specs Amazing

Leslie Barry2 months ago

@specs Love this - going to dust off my vector now...

olympus_roots ⚕️2 months ago

@specs I have one of these and the cubes lol imagine this connected with Hermes would be awesome

Related Videos

🏆 1st place, Open Source Lenslist AR as an interface for robot navigation. Give move-to commands using hands or voice and the robot moves there autonomously. Works in a variety of environments and conditions. Stock firmware on the Unitree dog. Dimensional powers the entire navigation stack with dynamic pathing and LiDAR streaming. UI and interactions on SPECS AR Glasses. I’m already working on v2.0 with VPS support (MultiSet AI) to reduce drift on longer distances (>5m) and cleaner DimOS integration. Gotta say, making this is a bit of a rollercoaster as it’s genuinely hard but also I just want it to exist and seeing it work is the most cool and rewarding thing ever. Repo:

🏆 1st place, Open Source Lenslist AR as an interface for robot navigation. Give move-to commands using hands or voice and the robot moves there autonomously. Works in a variety of environments and conditions. Stock firmware on the Unitree dog. Dimensional powers the entire navigation stack with dynamic pathing and LiDAR streaming. UI and interactions on SPECS AR Glasses. I’m already working on v2.0 with VPS support (MultiSet AI) to reduce drift on longer distances (>5m) and cleaner DimOS integration. Gotta say, making this is a bit of a rollercoaster as it’s genuinely hard but also I just want it to exist and seeing it work is the most cool and rewarding thing ever. Repo:

Johannes Tscharn

73,657 views • 27 days ago

World Labs co-founder Justin Johnson on how five photos from your phone could teach a robot to work in a room it has never seen: "I think there's a couple different tech trees that people are working on. One is this notion of fully in-context learning. Maybe I've got a robotics foundation model, then I can demonstrate to the robot once how a task should be performed, and that's enough for the robot to figure out that task." "Another version is what we're calling real-to-sim-to-real. Maybe I've got my pre-trained robotics foundation model, but I want to adapt it to this particular environment." "Like this studio... You could come in here and take just a couple casual videos with your phone or a couple images with your phone, use Atlas to reconstruct the space, and now stage all kinds of robotics interactions in this studio space in particular." "Literally you could do it in five minutes. Take five photos, upload it to Atlas, have it generate a simulation, describe in natural language what kind of task you want the robot to do, have an agent go build that simulation for you, RL fine-tune your general purpose robotics foundation model, and now you've got a robot... that's perfectly adapted to this space." Justin Johnson on MTS

World Labs co-founder Justin Johnson on how five photos from your phone could teach a robot to work in a room it has never seen: "I think there's a couple different tech trees that people are working on. One is this notion of fully in-context learning. Maybe I've got a robotics foundation model, then I can demonstrate to the robot once how a task should be performed, and that's enough for the robot to figure out that task." "Another version is what we're calling real-to-sim-to-real. Maybe I've got my pre-trained robotics foundation model, but I want to adapt it to this particular environment." "Like this studio... You could come in here and take just a couple casual videos with your phone or a couple images with your phone, use Atlas to reconstruct the space, and now stage all kinds of robotics interactions in this studio space in particular." "Literally you could do it in five minutes. Take five photos, upload it to Atlas, have it generate a simulation, describe in natural language what kind of task you want the robot to do, have an agent go build that simulation for you, RL fine-tune your general purpose robotics foundation model, and now you've got a robot... that's perfectly adapted to this space." Justin Johnson on MTS

a16z

35,947 views • 28 days ago

World Labs co-founder Justin Johnson predicts a real-to-sim-to-real future where Atlas could train a robot for any new environment in minutes using just 5 photos from your phone: "One is this notion of fully in-context learning. Maybe I've got a robotics foundation model, then I can demonstrate the robot once how a task should be performed, and that's enough for the robot to figure out." "Another version is real to sim to real. Maybe I've got my pre-trained robotics foundation model, but I want to adapt it to this particular environment, like this studio, this table, moving this microphone around." "There's a version where you could come in here and take just a couple casual videos with your phone or a couple images with your phone, use Atlas to reconstruct the space, and now stage all kinds of robotics interactions in this studio space." "If you could lower the barrier to doing that, you could do it in five minutes to take five photos, upload it to Atlas, have it generate a simulation, maybe describe in natural language what kind of task you want the robot to do, have an agent go build that simulation for you, RL fine-tune your general purpose robotics foundation model, and now you've got a robot maybe in the span of a couple minutes that could come in and is perfectly adapted to this space." World Labs

World Labs co-founder Justin Johnson predicts a real-to-sim-to-real future where Atlas could train a robot for any new environment in minutes using just 5 photos from your phone: "One is this notion of fully in-context learning. Maybe I've got a robotics foundation model, then I can demonstrate the robot once how a task should be performed, and that's enough for the robot to figure out." "Another version is real to sim to real. Maybe I've got my pre-trained robotics foundation model, but I want to adapt it to this particular environment, like this studio, this table, moving this microphone around." "There's a version where you could come in here and take just a couple casual videos with your phone or a couple images with your phone, use Atlas to reconstruct the space, and now stage all kinds of robotics interactions in this studio space." "If you could lower the barrier to doing that, you could do it in five minutes to take five photos, upload it to Atlas, have it generate a simulation, maybe describe in natural language what kind of task you want the robot to do, have an agent go build that simulation for you, RL fine-tune your general purpose robotics foundation model, and now you've got a robot maybe in the span of a couple minutes that could come in and is perfectly adapted to this space." World Labs

MTS

25,204 views • 29 days ago

How to self-host your dev environment and run multiple coding agents on your project. This is open-source and free to use. You can run it on your computer or a server in the basement. • Multiple agents • Configurable Templates + Workspaces • Open and free

How to self-host your dev environment and run multiple coding agents on your project. This is open-source and free to use. You can run it on your computer or a server in the basement. • Multiple agents • Configurable Templates + Workspaces • Open and free

Santiago

16,992 views • 2 days ago

Reachy Mini just got a new Brain! We released a fully open-source backend for talking to Reachy Mini. In the last 48 hours, 3,000+ robots have already hit the version deployed on Hugging Face's infra. Until today, if you wanted a real-time voice agent in your robot, you were looking at $20+ a day. Realtime APIs are expensive because every second the connection is up, you are being charged! But with our approach, you can run the audio models locally and use your OpenAI or Claude subscription for the LLM, at no extra costs. The audio pipeline is very efficient; in the video, it's running on the cheapest Mac mini, 16GB of RAM (the one that sold out a couple of months back when people were buying them up for openclaws setups). Tutorials coming in the next few weeks: how to run your robot fully locally, or with your favorite agent. Stay tuned!

Reachy Mini just got a new Brain! We released a fully open-source backend for talking to Reachy Mini. In the last 48 hours, 3,000+ robots have already hit the version deployed on Hugging Face's infra. Until today, if you wanted a real-time voice agent in your robot, you were looking at $20+ a day. Realtime APIs are expensive because every second the connection is up, you are being charged! But with our approach, you can run the audio models locally and use your OpenAI or Claude subscription for the LLM, at no extra costs. The audio pipeline is very efficient; in the video, it's running on the cheapest Mac mini, 16GB of RAM (the one that sold out a couple of months back when people were buying them up for openclaws setups). Tutorials coming in the next few weeks: how to run your robot fully locally, or with your favorite agent. Stay tuned!

Andi Marafioti

56,158 views • 4 months ago

I’m giving an agent control over Reachy Mini from Hugging Face and letting it understand and share spatial data via Specs for Devs AR is the human interface for robotics and physical AI imo. It feels like absolute magic to interact with this, both in voice/agent and “puppeteering” mode. I’ll probably work on AR for either an arm (manipulation tasks) or some sort of drone (locomotion in 3D space) next… Project is fully open source btw: Thank you SensAI Hackademy for sending me the robot!

I’m giving an agent control over Reachy Mini from Hugging Face and letting it understand and share spatial data via Specs for Devs AR is the human interface for robotics and physical AI imo. It feels like absolute magic to interact with this, both in voice/agent and “puppeteering” mode. I’ll probably work on AR for either an arm (manipulation tasks) or some sort of drone (locomotion in 3D space) next… Project is fully open source btw: Thank you SensAI Hackademy for sending me the robot!

Johannes Tscharn

35,775 views • 7 months ago

Joscha Bach says consciousness is not a mysterious extra ingredient. It is a model of what it would be like if you existed. The self is virtual by definition. It can only run inside a system capable of simulation. This does not make it less real. It makes it substrate-dependent in exactly the way software is. The hard problem may not be hard. It may be a category error about where to look.

Joscha Bach says consciousness is not a mysterious extra ingredient. It is a model of what it would be like if you existed. The self is virtual by definition. It can only run inside a system capable of simulation. This does not make it less real. It makes it substrate-dependent in exactly the way software is. The hard problem may not be hard. It may be a category error about where to look.

vitrupo

39,202 views • 6 months ago

"Is it realistic to assume that a utopian town can be created with everybody coexisting and living happily ever after?" That's the kind of thing you would hear on RTE in 2001, but if you say it in 2026 you're far-right.

"Is it realistic to assume that a utopian town can be created with everybody coexisting and living happily ever after?" That's the kind of thing you would hear on RTE in 2001, but if you say it in 2026 you're far-right.

MichaeloKeeffe

16,575 views • 5 months ago

Researchers built a new RAG approach that: - does not need a vector DB. - does not embed data. - involves no chunking. - performs no similarity search. And it hit 98.7% accuracy on a financial benchmark (SOTA). Here's the core problem with RAG that this new approach solves: Traditional RAG chunks documents, embeds them into vectors, and retrieves based on semantic similarity. But similarity ≠ relevance. When you ask "What were the debt trends in 2023?", a vector search returns chunks that look similar. But the actual answer might be buried in some Appendix, referenced on some page, in a section that shares zero semantic overlap with your query. Traditional RAG would likely never find it. PageIndex (open-source) solves this. Instead of chunking and embedding, PageIndex builds a hierarchical tree structure from your documents, like an intelligent table of contents. Then it uses reasoning to traverse that tree. For instance, the model doesn't ask: "What text looks similar to this query?" Instead, it asks: "Based on this document's structure, where would a human expert look for this answer?" That's a fundamentally different approach with: - No arbitrary chunking that breaks context. - No vector DB infrastructure to maintain. - Traceable retrieval to see exactly why it chose a specific section. - The ability to see in-document references ("see Table 5.3") the way a human would. But here's the deeper issue that it solves. Vector search treats every query as independent. But documents have structure and logic, like sections that reference other sections and context that builds across pages. PageIndex respects that structure instead of flattening it into embeddings. Do note that this approach may not make sense in every use case since traditional vector search is still fast, simple, and works well for many applications. But for professional documents that require domain expertise and multi-step reasoning, this tree-based, reasoning-first approach shines. For instance, PageIndex achieved 98.7% accuracy on FinanceBench, significantly outperforming traditional vector-based RAG systems on complex financial document analysis. Everything is fully open-source, so you can see the full implementation in GitHub and try it yourself. I have shared the GitHub repo in the replies!

Researchers built a new RAG approach that: - does not need a vector DB. - does not embed data. - involves no chunking. - performs no similarity search. And it hit 98.7% accuracy on a financial benchmark (SOTA). Here's the core problem with RAG that this new approach solves: Traditional RAG chunks documents, embeds them into vectors, and retrieves based on semantic similarity. But similarity ≠ relevance. When you ask "What were the debt trends in 2023?", a vector search returns chunks that look similar. But the actual answer might be buried in some Appendix, referenced on some page, in a section that shares zero semantic overlap with your query. Traditional RAG would likely never find it. PageIndex (open-source) solves this. Instead of chunking and embedding, PageIndex builds a hierarchical tree structure from your documents, like an intelligent table of contents. Then it uses reasoning to traverse that tree. For instance, the model doesn't ask: "What text looks similar to this query?" Instead, it asks: "Based on this document's structure, where would a human expert look for this answer?" That's a fundamentally different approach with: - No arbitrary chunking that breaks context. - No vector DB infrastructure to maintain. - Traceable retrieval to see exactly why it chose a specific section. - The ability to see in-document references ("see Table 5.3") the way a human would. But here's the deeper issue that it solves. Vector search treats every query as independent. But documents have structure and logic, like sections that reference other sections and context that builds across pages. PageIndex respects that structure instead of flattening it into embeddings. Do note that this approach may not make sense in every use case since traditional vector search is still fast, simple, and works well for many applications. But for professional documents that require domain expertise and multi-step reasoning, this tree-based, reasoning-first approach shines. For instance, PageIndex achieved 98.7% accuracy on FinanceBench, significantly outperforming traditional vector-based RAG systems on complex financial document analysis. Everything is fully open-source, so you can see the full implementation in GitHub and try it yourself. I have shared the GitHub repo in the replies!

Avi Chawla

973,889 views • 8 months ago

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Harper Carroll

30,392 views • 1 month ago

Watch that water run with the lid open. That’s the faucet. It won’t actually fill with lid up, but you can run water in it and mix your soap up if you want. Another thing I like is it spins your clothes around both ways a few times before filling and during the initial water run.

Watch that water run with the lid open. That’s the faucet. It won’t actually fill with lid up, but you can run water in it and mix your soap up if you want. Another thing I like is it spins your clothes around both ways a few times before filling and during the initial water run.

Appalachian Mama

52,378 views • 2 months ago

I transformed my physical door into a mixed-reality portal that can bring you either to your next room or to magical virtual worlds! You can select where you want to go (like when you choose the floor in an elevator) and then when you open the door, you can exactly go to that place, physical or virtual that it may be. What I love the most is that this demo connects the physicality of the door with mixed reality, so you use a real tool to be able to access virtual realities. I've made this demo using #unity3d and #MetaQuest SDK. I've used Meta Scene Setup, so the demo is fully dynamic: it finds my door and adapts all the interfaces to it. Theoretically, it could work with all sliding doors that work like mine with no modifications to the APK. As usual, I'm thinking of making a blog post where I explain how I did it... let me know if you could be interested! And let me know also if you could be interested in some collaborations with me ;) The full video of the demo is on Youtube: #metaverse #VirtualReality #SpatialComputing

I transformed my physical door into a mixed-reality portal that can bring you either to your next room or to magical virtual worlds! You can select where you want to go (like when you choose the floor in an elevator) and then when you open the door, you can exactly go to that place, physical or virtual that it may be. What I love the most is that this demo connects the physicality of the door with mixed reality, so you use a real tool to be able to access virtual realities. I've made this demo using #unity3d and #MetaQuest SDK. I've used Meta Scene Setup, so the demo is fully dynamic: it finds my door and adapts all the interfaces to it. Theoretically, it could work with all sliding doors that work like mine with no modifications to the APK. As usual, I'm thinking of making a blog post where I explain how I did it... let me know if you could be interested! And let me know also if you could be interested in some collaborations with me ;) The full video of the demo is on Youtube: #metaverse #VirtualReality #SpatialComputing

TonyVT SkarredGhost

20,084 views • 2 years ago

In LiveView, we keep the state in one place - the server - and it simplifies a lot. But sometimes the state on the client is preferred, or even necessary, and we can't use LiveView for that part. Unless we have a LiveView that runs on the client 👀 Using Popcorn, we managed to run LiveView fully in the browser – here's a POC 🎉 The approach is to have a fully client-side LiveView rendered by a server-side one, and they can communicate with each other. Try it out:

In LiveView, we keep the state in one place - the server - and it simplifies a lot. But sometimes the state on the client is preferred, or even necessary, and we can't use LiveView for that part. Unless we have a LiveView that runs on the client 👀 Using Popcorn, we managed to run LiveView fully in the browser – here's a POC 🎉 The approach is to have a fully client-side LiveView rendered by a server-side one, and they can communicate with each other. Try it out:

Elixir by Software Mansion

13,558 views • 9 months ago

We're making a 90-min feature film. Real actors, real sets, real crew, and AI filling in only what the budget can't cover. The one thing we don't have yet is a script. If you've written one, polished it, pitched it, and watched it go nowhere, we want to read it. If we love it, we buy it, and you're in on the whole thing. We want to build it with people who care about it, as much as we do. The whole production runs in public - every workflow, every breakthrough, every failure. The script you stopped pitching might be the one that finally gets made. Don't let it sit in a drawer. Send it over.

We're making a 90-min feature film. Real actors, real sets, real crew, and AI filling in only what the budget can't cover. The one thing we don't have yet is a script. If you've written one, polished it, pitched it, and watched it go nowhere, we want to read it. If we love it, we buy it, and you're in on the whole thing. We want to build it with people who care about it, as much as we do. The whole production runs in public - every workflow, every breakthrough, every failure. The script you stopped pitching might be the one that finally gets made. Don't let it sit in a drawer. Send it over.

Invideo

68,826 views • 2 months ago

Another win for open-source robotics! 🔥 Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: → Hardware files, bill of materials and full assembly documentation → Simulation assets and training environments → Runtime tools for calibration and real-world control → Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem 🤗 LET'S GO!!! Build it here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Another win for open-source robotics! 🔥 Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: → Hardware files, bill of materials and full assembly documentation → Simulation assets and training environments → Runtime tools for calibration and real-world control → Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem 🤗 LET'S GO!!! Build it here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

20,457 views • 4 months ago

#WATCH | Bhubaneswar, Odisha | World Bank President Ajay Banga says, "India has demonstrated that it can show exceptional growth. The real thing is not the percentage of growth. The real thing you need to think about is if you want to be Viksit Bharat by 2047, then this kind of facility, skilling effort, devotion of people who run facilities like this is very important. Skilling our population in India is going to be very important. You have 12 million young people becoming ready for a job every year. If you skill them the right way, then you can get them the opportunity to work in a state, in a city, in a village, in another town and in countries overseas..."

#WATCH | Bhubaneswar, Odisha | World Bank President Ajay Banga says, "India has demonstrated that it can show exceptional growth. The real thing is not the percentage of growth. The real thing you need to think about is if you want to be Viksit Bharat by 2047, then this kind of facility, skilling effort, devotion of people who run facilities like this is very important. Skilling our population in India is going to be very important. You have 12 million young people becoming ready for a job every year. If you skill them the right way, then you can get them the opportunity to work in a state, in a city, in a village, in another town and in countries overseas..."

ANI

27,321 views • 8 months ago

Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.

Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.

Aaliya

17,042 views • 7 months ago

AI is concentrating, in a few countries, a few companies, a few chips. Open-source AI is the only real check on that. And it only works if the infrastructure to run it actually exists. Today, we're announcing our Series A, $20 M, to make this a reality.

AI is concentrating, in a few countries, a few companies, a few chips. Open-source AI is the only real check on that. And it only works if the infrastructure to run it actually exists. Today, we're announcing our Series A, $20 M, to make this a reality.

Eugene Cheah - AI builder @ 🇸🇬|🇺🇸

30,614 views • 5 months ago

.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the problem because if you have enough GPUs and enough data, you can basically solve most problems right now." "The capital race becomes a real thing and you have to think through, okay, code is not really a moat the way it was in the past, and user interface isn't really a moat."

.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the problem because if you have enough GPUs and enough data, you can basically solve most problems right now." "The capital race becomes a real thing and you have to think through, okay, code is not really a moat the way it was in the past, and user interface isn't really a moat."

a16z

19,416 views • 5 months ago