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one of the biggest hurdles in computer vision is that the front end actually matters. you can’t just build models and call it a product. that’s why we’re building Manako. we see it as a “control plane” for visual intelligence. where data, policies, and operators meet. where vision stops... show more

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One year ago today, HUMAIN was launched with a bold vision to build the full AI stack. Today, we continue building the future of AI, transforming ambition into real-world impact. From vision to intelligence. From ambition to action. From possibility to scale. This Is Year One. #HUMAIN #TheEndOfLimits

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🌟 Today we’re sharing the vision for a New Web3 — a more interconnected, human internet that drives new value systems and can lay the foundation for a new digital society. Here is the first of two articles, detailing the journey of our evolution and why we built new standards. This one is for the visionaries and dreamers of the initial Ethereum vision of a decentralised internet and shows how we can evolve it into a universal decentralized operating system, entailing the whole of web3. This one is slightly more technical. 👉 Read on Medium:

LUKSO

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When we started Score, the standard computer vision tools already existed. About a million people use them every day. Most of those people are still waiting on labels, running training jobs by hand, and watching models fail once they leave the test set. Most of those people are still waiting on labels, running training jobs by hand, and watching models fail once they leave the test set. Most of those people are also still waiting on verified computer vision models, evaluated against real life conditions and ready to be deployed for them to deliver value for their teams, clients or users. Score Studio is the full computer vision path in one place. A team describes the problem. The system can generate the missing scenes, label them, train the candidates, evaluate which ones actually hold, and deploy the winner. Data, labels, training, eval, ship. One loop. If no model exists for that job yet, they can put a bounty on the subnet. Anything from a small vision brick to a full VLM. Miners compete on the task. Only the winning work comes back. Same path for software agents. Any agent can call it. Built to be fully agent-accessible. Built for the people who already do this work: computer vision engineers and the small teams around them in plants, warehouses, farms, robotics, sport, and security. And for the agents those teams will run. That is the part that changes the job. Not another training screen. The stretch that used to take a lab and a calendar, footage, boxes, versions, failed runs, a separate deploy project, sits behind one starting point. And if the network needs a new model, that request is part of the same path. We spent more than a year building it. Then we had a choice. Keep it for us, or commoditize the whole subnet and make it available 24/7, in permissionless and open-source way. And we knew we couldn't keep it for us. It had to live on Bittensor. Open source software already showed how this should work. Infrastructure should not sit inside one company. Same idea as open AI before the phrase changed meaning: inspect it, fork it, keep building. That is what SN44 is for. Open vision intelligence, powered by Bittensor. Miners do the work. Studio is how that gets monetized. Profit does not stay in a company account. It goes back into the subnet through buyback and burn. We built the tool we wanted on day one. It will live on the network now, and for ever. Waitlist is open.

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Score

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Yep! We spent a 21 months building Werm, and we’re genuinely proud of how we’ve done things. We’ll keep doing everything possible to build great products. What you see now is the result of countless iterations from the version shown in the below video. With just three people, building and scaling a multiplayer game has been incredibly challenging, even large studios struggle with this. The 21 months of development were necessary. We went through multiple rebuilds, learned a ton about launches, and built real relationships across the ecosystem. We stayed away from presales and token launches because the product wasn’t ready. Now we finally feel confident to give it a real shot. There’ll be bumps along the way, but unlike most crypto projects built on hype, we’re launching with an actual product and genuine intent to make it work. We believe we’re doing it the right way and that’s how we plan to keep going. The goal is for the community to trust that when we build, it’s 100% real, never a scam. More news to come about Werm!

Tilted Ventures

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Until we can transfer your dream to others in a way that it subconsciously guides their decisions and actions, we’re not leading yet. Where there is no vision, there is no leader. Vision is the ability to see people, places and things, not just as they are, but as they could be.

Until we can transfer your dream to others in a way that it subconsciously guides their decisions and actions, we’re not leading yet. Where there is no vision, there is no leader. Vision is the ability to see people, places and things, not just as they are, but as they could be.

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🚨 BREAKING: Big news in the computer vision world! 🎥 Luxonis | Robotic Vision just dropped its new OAK 4 line, and it’s a big upgrade for edge computer vision. Instead of being “just a stereo camera,” OAK 4 is a fully standalone vision computer with 52 TOPS of on-device AI. Models run locally, depth is computed locally, and no external PC or cloud pipeline is required. This is why robotics teams love it: lower latency, lower cost, fewer failure points in the field. The hardware is built for the real-world. IP67, shock-resistant, wide-FOV RGB + stereo pair, IR projection, IMU, audio, and a patent-pending calibration system that keeps depth accurate even when conditions change. But the real move is the platform. With Luxonis Hub, you can deploy models, grab telemetry, push OTA updates, or collect data when performance drifts, all from a unified interface. It turns a single device into an end-to-end edge CV system. Most customers today in robotics are groups who just want something that works: AMRs, bin-picking systems, trailer-loading robots, and ag-tech. 🤖 And they all say the same thing, the appeal isn’t raw TOPS, it’s the all-in-one simplicity that lets them scale without building custom infrastructure. Feels like the direction edge vision has been waiting for: rugged hardware + high-throughput on-device compute + a real management layer. A next step toward “plug-and-deploy” perception for robots. 🔗 Find out more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

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HABE

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Computer vision engineers are still duct-taping tools together just to get a model into production. We just finished another round of user interviews and that frustration came up again and again. So we re-designed Studio to work around our new Pipelines + Workflow Canvas features. Visually design any vision pipeline from start to finish, connect models, logic, and outputs on one canvas, preview the exact result, then deploy. You see the output before you ship it. Everything in a single interface. The full loop, shaped by the people who actually build vision systems every day. This is what Decentralized Vision Intelligence looks like.

Score

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MWEB is one of the core reasons Litecoin stands out as the most practical chain for real-world use. This video breaks down exactly how it works, why it matters, and why you should care. Optional privacy. Real freedom. Special thanks to NFINITY AI for turning this vision into reality, one frame at a time.

MWEB is one of the core reasons Litecoin stands out as the most practical chain for real-world use. This video breaks down exactly how it works, why it matters, and why you should care. Optional privacy. Real freedom. Special thanks to NFINITY AI for turning this vision into reality, one frame at a time.

Litecoin

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No-code software didn't just make apps easier. It changed who gets to build. Before Cursor, Lovable, and Replit — you needed a dev team to ship a product. Now anyone with a vision can build. Robotics is about to see the exact same shift.🧵

No-code software didn't just make apps easier. It changed who gets to build. Before Cursor, Lovable, and Replit — you needed a dev team to ship a product. Now anyone with a vision can build. Robotics is about to see the exact same shift.🧵

Roba Labs

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Part 1 of my interview with Mubarak Aliyu, where I discussed my RIVERLIGHT vision, why I came into politics, and many other important issues affecting our people. For me, politics is not just about contesting for office. It is about service, vision, and the responsibility to build a society that works for everyone. The RIVERLIGHT vision is about unlocking the economic potential of Adamawa, Northern Nigeria, and our surrounding region through strategic infrastructure, commerce, river access, industrial growth, and long-term planning. This is only the beginning of a broader conversation about the future we must build together. -YG

Part 1 of my interview with Mubarak Aliyu, where I discussed my RIVERLIGHT vision, why I came into politics, and many other important issues affecting our people. For me, politics is not just about contesting for office. It is about service, vision, and the responsibility to build a society that works for everyone. The RIVERLIGHT vision is about unlocking the economic potential of Adamawa, Northern Nigeria, and our surrounding region through strategic infrastructure, commerce, river access, industrial growth, and long-term planning. This is only the beginning of a broader conversation about the future we must build together. -YG

Yusuf Garba

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We’re living in a 3–5 year window right now. If you can anticipate what people will want in an age of abundance, understand what unlocks new AI capabilities, what data it needs, and what components you can build; this is the best time in history to execute. Execution just keeps getting cheaper and vision is the differentiator.

We’re living in a 3–5 year window right now. If you can anticipate what people will want in an age of abundance, understand what unlocks new AI capabilities, what data it needs, and what components you can build; this is the best time in history to execute. Execution just keeps getting cheaper and vision is the differentiator.

Dave Blundin

59,305 görüntüleme • 8 ay önce

Robotics doesn't have a model problem. It has a data problem. And underneath that, a deployment problem. Physical AI progresses through real-world interaction. Robots act, fail, recover, and adapt. Without shared standards, every team relearns the same lessons in isolation. Deployment standards determine whether learning compounds or resets. PrismaX is the service layer for physical AI. We run the systems that define how robots get deployed, standardize how interaction data is generated, and integrate human judgment where models fall short, turning fragmented robotics capability into deployable infrastructure. Our Mission: Enable people and robots to work together by setting the standards that allow physical AI systems to learn and improve through real-world operation. Our Vision: A world where intelligent robots are deployed responsibly and at scale, supported by systems that embed human judgment into how intelligence advances. The next chapter for physical AI is about turning real-world operation into scalable intelligence. More soon.

Robotics doesn't have a model problem. It has a data problem. And underneath that, a deployment problem. Physical AI progresses through real-world interaction. Robots act, fail, recover, and adapt. Without shared standards, every team relearns the same lessons in isolation. Deployment standards determine whether learning compounds or resets. PrismaX is the service layer for physical AI. We run the systems that define how robots get deployed, standardize how interaction data is generated, and integrate human judgment where models fall short, turning fragmented robotics capability into deployable infrastructure. Our Mission: Enable people and robots to work together by setting the standards that allow physical AI systems to learn and improve through real-world operation. Our Vision: A world where intelligent robots are deployed responsibly and at scale, supported by systems that embed human judgment into how intelligence advances. The next chapter for physical AI is about turning real-world operation into scalable intelligence. More soon.

PrismaX

15,330 görüntüleme • 4 ay önce

Robotics and CV! 👓 Computer vision gives the robots a sense of vision and additional intelligence. Pralines are packed by a delta robot using computer vision. Packing chocolate pralines into a box with the delta robot. Unlike most robots, this one has a fixed TCP, and the base moves in response to vision data. To adjust the base, the vision system determines exactly where the praline is located on the conveyor belt. 🍫 Using this application, the system knows where each praline should be placed based on its orientation. A true engineering showcase!

Robotics and CV! 👓 Computer vision gives the robots a sense of vision and additional intelligence. Pralines are packed by a delta robot using computer vision. Packing chocolate pralines into a box with the delta robot. Unlike most robots, this one has a fixed TCP, and the base moves in response to vision data. To adjust the base, the vision system determines exactly where the praline is located on the conveyor belt. 🍫 Using this application, the system knows where each praline should be placed based on its orientation. A true engineering showcase!

Lukas Ziegler

79,438 görüntüleme • 1 yıl önce

Physical AI is quickly becoming one of the biggest stories in tech. As robots move beyond controlled environments and into the real world, the need for high-quality real-world data grows with them. jacob on why that matters ↓

Physical AI is quickly becoming one of the biggest stories in tech. As robots move beyond controlled environments and into the real world, the need for high-quality real-world data grows with them. jacob on why that matters ↓

The DATA Foundation

16,877 görüntüleme • 1 ay önce

Flexport CEO Ryan Petersen explains why your initial vision for your company is probably wrong When Ryan first applied to Y Combinator he wanted Flexport to be “TurboTax for customs.” But that vision changed a lot. As Ryan explains: “The more you learn and the more customers you talk to and the more vendors you talk to, the more you realize how screwed up the world is in this space. Then [the vision] actually gets bigger and bigger and keeps expanding.” Y Combinator CEO Garry Tan says this is a common pattern he sees in startups too: “There’s a misconception that you wake up from a haze and you’re like ‘This is it. This is the vision.” But the story is actually ‘Oh here’s this thing that I know I can solve.’ And then once you solve it and people really like it, it sort of expands and expands.” Ryan concludes: “If a founder is too certain of exactly what the vision is and what the product’s going to look like and how it’s all going to work, they’re probably wrong. The world is super messy.” Source: Garry Tan (Mar 2022)

Flexport CEO Ryan Petersen explains why your initial vision for your company is probably wrong When Ryan first applied to Y Combinator he wanted Flexport to be “TurboTax for customs.” But that vision changed a lot. As Ryan explains: “The more you learn and the more customers you talk to and the more vendors you talk to, the more you realize how screwed up the world is in this space. Then [the vision] actually gets bigger and bigger and keeps expanding.” Y Combinator CEO Garry Tan says this is a common pattern he sees in startups too: “There’s a misconception that you wake up from a haze and you’re like ‘This is it. This is the vision.” But the story is actually ‘Oh here’s this thing that I know I can solve.’ And then once you solve it and people really like it, it sort of expands and expands.” Ryan concludes: “If a founder is too certain of exactly what the vision is and what the product’s going to look like and how it’s all going to work, they’re probably wrong. The world is super messy.” Source: Garry Tan (Mar 2022)

Startup Archive

26,519 görüntüleme • 1 ay önce

Sanders: But there is another vision out there as well—a darker vision. It is a vision which says that we must give up on democracy, that we are too stupid and inept to govern ourselves, and that we must put more and more power into the hands of one man. It is a vision that says we should accept an economy in which a handful of oligarchs have unbelievable wealth while the vast majority of our people struggle to put food on the table. It is a vision that says the only thing that matters in life is the accumulation of money and power—and that it is OK if we lie, cheat, and steal to achieve those goals. It is a vision which says that we must hate each other because of where we were born, hate each other because of a different language someone speaks, hate each other because of differences in the color of our skin, or our religion, or our sexual orientation. It is a vision that foments hatred, division, and more division. It is an Orwellian vision, which says that we must live in a constant state of fear—that we must always have an enemy and that we must always be at war. It is a vision which says that we have unlimited amounts of money for bombs and guns and killing, but never enough money to feed our children, provide affordable housing, or enable our parents to retire with dignity.

Sanders: But there is another vision out there as well—a darker vision. It is a vision which says that we must give up on democracy, that we are too stupid and inept to govern ourselves, and that we must put more and more power into the hands of one man. It is a vision that says we should accept an economy in which a handful of oligarchs have unbelievable wealth while the vast majority of our people struggle to put food on the table. It is a vision that says the only thing that matters in life is the accumulation of money and power—and that it is OK if we lie, cheat, and steal to achieve those goals. It is a vision which says that we must hate each other because of where we were born, hate each other because of a different language someone speaks, hate each other because of differences in the color of our skin, or our religion, or our sexual orientation. It is a vision that foments hatred, division, and more division. It is an Orwellian vision, which says that we must live in a constant state of fear—that we must always have an enemy and that we must always be at war. It is a vision which says that we have unlimited amounts of money for bombs and guns and killing, but never enough money to feed our children, provide affordable housing, or enable our parents to retire with dignity.

Acyn

60,780 görüntüleme • 6 ay önce