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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... show more

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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 being research and starts having real impact in the physical world. this is built for people running real systems. operators who can do 1,000x more when vision is packaged as a real ai product from a dev perspective, we’re already 2 months ahead of plan. now the focus is polish, usability, and connecting it directly into the subnet. build with vision.

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 being research and starts having real impact in the physical world. this is built for people running real systems. operators who can do 1,000x more when vision is packaged as a real ai product from a dev perspective, we’re already 2 months ahead of plan. now the focus is polish, usability, and connecting it directly into the subnet. build with vision.

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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.

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.

Score

11,292 Aufrufe • vor 1 Monat

#WATCH | Lucknow, UP: Samajwadi Party Chief Akhilesh Yadav says, "Today, we are going to start a program, and the first one will be in Bangalore. We will visit various places and work on 'Vision India' and 'New India' programs. The aim of 'Vision India' is to move 'New India' forward and create new ideas and new paths... Young India is progressive. We have a fight with those who are old-fashioned. Our India and our thinking are not about division, and to fight those who have divisive thinking, we want vision and a new India that fulfils the target... That's why we are going to work on the basis of 'New India,' 'New Vision'..."

#WATCH | Lucknow, UP: Samajwadi Party Chief Akhilesh Yadav says, "Today, we are going to start a program, and the first one will be in Bangalore. We will visit various places and work on 'Vision India' and 'New India' programs. The aim of 'Vision India' is to move 'New India' forward and create new ideas and new paths... Young India is progressive. We have a fight with those who are old-fashioned. Our India and our thinking are not about division, and to fight those who have divisive thinking, we want vision and a new India that fulfils the target... That's why we are going to work on the basis of 'New India,' 'New Vision'..."

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Most AI tools give everyone access to the same generic models. The result? Everything looks the same. We have a different vision for AI creation. Introducing TITLES, a new creative studio built around AI models trained and owned by artists. In Studio, you can create with distinct visual perspectives developed by artists, across image and video — all in one place. This is the future we're building toward: not one model for everyone, but a growing network of unique styles you can build with — where artists get credited and paid as the work spreads. Enter Your Creative Studio:

Most AI tools give everyone access to the same generic models. The result? Everything looks the same. We have a different vision for AI creation. Introducing TITLES, a new creative studio built around AI models trained and owned by artists. In Studio, you can create with distinct visual perspectives developed by artists, across image and video — all in one place. This is the future we're building toward: not one model for everyone, but a growing network of unique styles you can build with — where artists get credited and paid as the work spreads. Enter Your Creative Studio:

TITLES

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A month ago me and my friends were just sitting around thinking why not do this. Why not actually build something that helps ideas turn into real products fast. That’s how Hue Studio was born. Our core team is small but strong. 2 software engineers and 1 designer. We wanted to create a place where we could take any idea and help it come to life. Together with our partners we are ready to help founders and teams ship MVPs faster than ever. We do everything from design and branding to full-stack development. You focus on your vision and we make sure the product, the brand and the experience all come together perfectly. We don’t cut corners and we don’t compromise. Every detail matters. We are technology agnostic. Web apps, mobile apps, dashboards, AI tools, SaaS products, whatever your idea needs we figure out the best way to make it happen. This is not just a studio. This is a team that wants to see your idea move from zero to one as fast as possible with quality and care at every step. Check out our video and see what we have been working on. If you like what you see request a spot before we fill up. We only take a limited number of projects each month to make sure every client gets our full attention. Let’s make your idea real.

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We’re proud of the way we constantly evolve to support our clients and our people. Now, we’re evolving another important part of who we are: our brand. At the heart of it all is greater clarity about the role we play for clients and our people as we help them build, sustain and accelerate momentum. We’re thrilled to share our updated look and new advertising campaign, as we take on the future with you - sleeves rolled up, from start to finish, turning vision into value. #SoYouCan

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QACE Dynamics | VIBR Tech Preview 1 Introducing VIBR, the vision intelligence block that brings real perception to robots. In this first preview, we take a simple vacuum bot, connect it through the QACE dApp, and instantly give it object detection and smarter behavior without touching code. QACE makes it easy by automating the usual workflow: what once took hours of coding in Python and assembling AI models is now reduced to a few clicks. Complex AI vision blocks are created, configured, and ready-to-deploy scripts are generated automatically. Robots can now see, decide, and act in real time. Up next: we will show how these rules and actions evolve into full autonomy modules, with the Qognix Tech Preview dropping this week.

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Qace Dynamics

29,448 Aufrufe • vor 1 Jahr

Vision is an absolute marvel of Divine Engineering. It requires a minimum of 3 systems working together from the start, or we don't see. 1. Eyes to capture light & convert into signals 2. Pathways to transport the signal 3. A brain to process it Evolution can't build it one step at a time, because there is no vision until all those systems exist and function together. Compounding the complexity further, each of those 3 systems themselves require a minimum number of more complex subsystems to function properly. For instance, all eyes require opsin proteins. Opsin is a highly complex protein that holds a special light-sensitive molecule called retinal; when a single photon hits the retinal, it instantly flips shape, triggering the opsin to change its 3D shape and trigger a precise cascade which converts the light into an electrical signal to be sent to the brain where it can be understood as vision. Opsin alone, is useless. It needs the retinal molecule plus the full cascade, or it does nothing. This is the case with ALL vision systems, confirmed over and over again the lab. No partially formed system produces any vision, or any other function for that matter. Many uninformed Evolutionists attempt to argue that we see different levels of complexity in vision systems, which they say is evidence that vision evolved gradually from simpler systems. But the evolutionary scientists themselves refute this. Even the very simplest possible system of vision - the infamous "light sensitive cell" - still relies on a similar highly complex, interconnected network of proteins and other molecules. Mainstream evolutionary science even teaches that vision systems evolved independently, from scratch, at least 40 different times. The reason is because many vision systems are so different, operating with such unique parts, that one simply could not have evolved from another. The fossil record itself refutes the concept of step by step construction of vision systems. Complex eyes appear early in the fossil record, fully formed & functional. There is no increasing complexity in the fossil record - it's a complete contradiction of evolutionary predictions. The vision system has all the Hallmark evidence of design. A complex, interconnected web of information processing systems with incomprehensibly precise timing & coordination between them all to produce a highly specialized function. Nature does not, and cannot, produce such a system, not with all the time and resources in the entire universe. Everything you see is a testament to the Power of our Creator.

Vision is an absolute marvel of Divine Engineering. It requires a minimum of 3 systems working together from the start, or we don't see. 1. Eyes to capture light & convert into signals 2. Pathways to transport the signal 3. A brain to process it Evolution can't build it one step at a time, because there is no vision until all those systems exist and function together. Compounding the complexity further, each of those 3 systems themselves require a minimum number of more complex subsystems to function properly. For instance, all eyes require opsin proteins. Opsin is a highly complex protein that holds a special light-sensitive molecule called retinal; when a single photon hits the retinal, it instantly flips shape, triggering the opsin to change its 3D shape and trigger a precise cascade which converts the light into an electrical signal to be sent to the brain where it can be understood as vision. Opsin alone, is useless. It needs the retinal molecule plus the full cascade, or it does nothing. This is the case with ALL vision systems, confirmed over and over again the lab. No partially formed system produces any vision, or any other function for that matter. Many uninformed Evolutionists attempt to argue that we see different levels of complexity in vision systems, which they say is evidence that vision evolved gradually from simpler systems. But the evolutionary scientists themselves refute this. Even the very simplest possible system of vision - the infamous "light sensitive cell" - still relies on a similar highly complex, interconnected network of proteins and other molecules. Mainstream evolutionary science even teaches that vision systems evolved independently, from scratch, at least 40 different times. The reason is because many vision systems are so different, operating with such unique parts, that one simply could not have evolved from another. The fossil record itself refutes the concept of step by step construction of vision systems. Complex eyes appear early in the fossil record, fully formed & functional. There is no increasing complexity in the fossil record - it's a complete contradiction of evolutionary predictions. The vision system has all the Hallmark evidence of design. A complex, interconnected web of information processing systems with incomprehensibly precise timing & coordination between them all to produce a highly specialized function. Nature does not, and cannot, produce such a system, not with all the time and resources in the entire universe. Everything you see is a testament to the Power of our Creator.

Divinely Designed

20,387 Aufrufe • vor 5 Monaten

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

Dustin

565,771 Aufrufe • vor 5 Monaten

World Labs co-founders Justin Johnson and Dr. Fei-Fei Li say Atlas unifies the two things computer vision has always kept apart: Justin: "Historically, reconstruction has been its own subfield in computer vision with its own specialized tasks and models. Generation is what all the text-to-video models are really good at." "Those are great for creative applications if I want to imagine something that's never been there before." "But now with Atlas, for the first time, we're putting these two different parts of visual intelligence together in one model. It can do both 3D reconstruction and generation together in one architecture." "We had to make it multimodal from the start. This thing natively works on text, images, videos, and camera poses as a native input to the model... It uses 3D as a native modality that it works on." Fei-Fei: "Computer vision has been around for more than half a century... Our field traditionally has multiple tracks. You go to a computer vision conference: you have the pixel generation track, you have some recognition track, and you have a 3D reconstruction track." "This is an elegant model that unifies the problem of reconstruction and generation by anchoring on viewpoints and viewpoint estimation. That's just incredibly powerful." Justin Johnson Fei-Fei Li

World Labs co-founders Justin Johnson and Dr. Fei-Fei Li say Atlas unifies the two things computer vision has always kept apart: Justin: "Historically, reconstruction has been its own subfield in computer vision with its own specialized tasks and models. Generation is what all the text-to-video models are really good at." "Those are great for creative applications if I want to imagine something that's never been there before." "But now with Atlas, for the first time, we're putting these two different parts of visual intelligence together in one model. It can do both 3D reconstruction and generation together in one architecture." "We had to make it multimodal from the start. This thing natively works on text, images, videos, and camera poses as a native input to the model... It uses 3D as a native modality that it works on." Fei-Fei: "Computer vision has been around for more than half a century... Our field traditionally has multiple tracks. You go to a computer vision conference: you have the pixel generation track, you have some recognition track, and you have a 3D reconstruction track." "This is an elegant model that unifies the problem of reconstruction and generation by anchoring on viewpoints and viewpoint estimation. That's just incredibly powerful." Justin Johnson Fei-Fei Li

a16z

40,937 Aufrufe • vor 1 Monat

Steve Jobs on leadership In the clip below, Steve argues: “The greatest people are self-managing. They don’t need to be managed. Once they know what to do, they’ll go figure out how to do it… What they need is a common vision, and that’s what leadership is. Leadership is having a vision, being able to articulate that so the people around you can understand it, and getting consensus on a common vision.” Borrowing from his tagline for the original Mac, Steve continues: “we wanted people who were insanely great at what they did… and the neatest thing that happens when you get a core group of ten great people is that it becomes self-policing as to who they let into that group. So I consider the most important job of someone like myself to be recruiting.” This observation on the importance of getting the first ten people right is a refrain you constantly hear from the very best founders. As Patrick Collison put it: “A large part of the reason why the first ten people you hire are so important is because you’re not just hiring those first ten people. You’re actually hiring 100 people, because you should think of each of those people as bring along another ten people with them.” The best leaders recruit “insanely great” people and align them around a common vision.

Steve Jobs on leadership In the clip below, Steve argues: “The greatest people are self-managing. They don’t need to be managed. Once they know what to do, they’ll go figure out how to do it… What they need is a common vision, and that’s what leadership is. Leadership is having a vision, being able to articulate that so the people around you can understand it, and getting consensus on a common vision.” Borrowing from his tagline for the original Mac, Steve continues: “we wanted people who were insanely great at what they did… and the neatest thing that happens when you get a core group of ten great people is that it becomes self-policing as to who they let into that group. So I consider the most important job of someone like myself to be recruiting.” This observation on the importance of getting the first ten people right is a refrain you constantly hear from the very best founders. As Patrick Collison put it: “A large part of the reason why the first ten people you hire are so important is because you’re not just hiring those first ten people. You’re actually hiring 100 people, because you should think of each of those people as bring along another ten people with them.” The best leaders recruit “insanely great” people and align them around a common vision.

Startup Archive

187,741 Aufrufe • vor 2 Jahren

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 Aufrufe • vor 2 Monaten

Steve Jobs on the most important job of a CEO “The greatest people are self-managing. They don’t need to be managed. Once they know what to do, they’ll go figure out how to do it… What they need is a common vision, and that’s what leadership is. Leadership is having a vision, being able to articulate that so the people around you can understand it, and getting consensus on a common vision.” Steve continues: “We wanted people who were insanely great at what they did… and the neatest thing that happens when you get a core group ten great people is that it becomes self-policing as to who they let into that group. So I consider the most important job of someone like myself is recruiting.”

Steve Jobs on the most important job of a CEO “The greatest people are self-managing. They don’t need to be managed. Once they know what to do, they’ll go figure out how to do it… What they need is a common vision, and that’s what leadership is. Leadership is having a vision, being able to articulate that so the people around you can understand it, and getting consensus on a common vision.” Steve continues: “We wanted people who were insanely great at what they did… and the neatest thing that happens when you get a core group ten great people is that it becomes self-policing as to who they let into that group. So I consider the most important job of someone like myself is recruiting.”

Startup Archive

30,796,004 Aufrufe • vor 1 Jahr

Engram cofounder Jack Morris just raised $98M to build a new type of AI. He says models don't need to get smarter over time. Instead, they just need to know you better and better over time. Jack describes what he's building: "Our product is a new type of AI. We have a pretty different vision from a lot of the frontier labs, which are working on one model per lab, and trying to make that model smarter every month." "There's another way to think about it, which is that the model doesn't need to get smarter every month. It needs to know you better." "So we're working on a whole different stack, which is a way to train models that train themselves to know your world better and adjust to the things that you say." "So: new ways of training, new ways of running the models."

Engram cofounder Jack Morris just raised $98M to build a new type of AI. He says models don't need to get smarter over time. Instead, they just need to know you better and better over time. Jack describes what he's building: "Our product is a new type of AI. We have a pretty different vision from a lot of the frontier labs, which are working on one model per lab, and trying to make that model smarter every month." "There's another way to think about it, which is that the model doesn't need to get smarter every month. It needs to know you better." "So we're working on a whole different stack, which is a way to train models that train themselves to know your world better and adjust to the things that you say." "So: new ways of training, new ways of running the models."

TBPN

70,731 Aufrufe • vor 3 Monaten

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 Aufrufe • vor 6 Monaten

Steve Jobs on leadership “The greatest people are self-managing. They don’t need to be managed. Once they know what to do, they’ll go figure out how to do it… What they need is a common vision, and that’s what leadership is. Leadership is having a vision, being able to articulate that so the people around you can understand it, and getting consensus on a common vision.” Borrowing from his tagline for the original Mac, Steve continues: “We wanted people who were insanely great at what they did… and the neatest thing that happens when you get a core group ten great people is that it becomes self-policing as to who they let into that group. So I consider the most important job of someone like myself is recruiting.” This observation on the importance of getting the first ten people right is a refrain you constantly hear from the very best founders. As Patrick Collison put it: “A large part of the reason why the first ten people you hire are so important is because you’re not just hiring those first ten people. You’re actually hiring 100 people because you should think of each of those people as bringing along another ten people with them.” The best leaders recruit “insanely great” people and align them around a common vision. Follow Startup Archive for more timeless startup advice!

Steve Jobs on leadership “The greatest people are self-managing. They don’t need to be managed. Once they know what to do, they’ll go figure out how to do it… What they need is a common vision, and that’s what leadership is. Leadership is having a vision, being able to articulate that so the people around you can understand it, and getting consensus on a common vision.” Borrowing from his tagline for the original Mac, Steve continues: “We wanted people who were insanely great at what they did… and the neatest thing that happens when you get a core group ten great people is that it becomes self-policing as to who they let into that group. So I consider the most important job of someone like myself is recruiting.” This observation on the importance of getting the first ten people right is a refrain you constantly hear from the very best founders. As Patrick Collison put it: “A large part of the reason why the first ten people you hire are so important is because you’re not just hiring those first ten people. You’re actually hiring 100 people because you should think of each of those people as bringing along another ten people with them.” The best leaders recruit “insanely great” people and align them around a common vision. Follow Startup Archive for more timeless startup advice!

Startup Archive

249,002 Aufrufe • vor 2 Jahren

EVERY FAMILY NEEDS A VISION One of the greatest causes of confusion in many homes is the absence of a clearly defined vision. Just as organizations thrive because they know where they are going, families also need a sense of purpose and direction. A home should not merely exist; it should be driven by a vision that is understood, embraced, and pursued by every member. A family vision answers important questions, such as: Where are we going? or Why do we exist? What are we building? When vision is absent, every member of the family begins to create their own agenda. This often leads to confusion, conflict, competing priorities, and unnecessary tension within the home. Vision creates alignment. It gives purpose to daily decisions, establishes a standard for accountability, and provides a framework for teaching and mentoring the next generation. A father’s responsibility is not only to provide for his family but also to define and communicate the vision that guides the family toward God’s purpose. Watch the full sermon titled “Re-defining Fatherhood (Restoring Biblical Fatherhood)” on the Koinonia Global YouTube channel. #ApostleJoshuaSelman #RedefiningFatherhood #RestoringBiblicalFatherhood #KoinoniaAbuja #KoinoniaGlobal

EVERY FAMILY NEEDS A VISION One of the greatest causes of confusion in many homes is the absence of a clearly defined vision. Just as organizations thrive because they know where they are going, families also need a sense of purpose and direction. A home should not merely exist; it should be driven by a vision that is understood, embraced, and pursued by every member. A family vision answers important questions, such as: Where are we going? or Why do we exist? What are we building? When vision is absent, every member of the family begins to create their own agenda. This often leads to confusion, conflict, competing priorities, and unnecessary tension within the home. Vision creates alignment. It gives purpose to daily decisions, establishes a standard for accountability, and provides a framework for teaching and mentoring the next generation. A father’s responsibility is not only to provide for his family but also to define and communicate the vision that guides the family toward God’s purpose. Watch the full sermon titled “Re-defining Fatherhood (Restoring Biblical Fatherhood)” on the Koinonia Global YouTube channel. #ApostleJoshuaSelman #RedefiningFatherhood #RestoringBiblicalFatherhood #KoinoniaAbuja #KoinoniaGlobal

Koinonia Global

10,797 Aufrufe • vor 3 Monaten

President Trump and I want to see BIG & BEAUTIFUL things built here for the American people. You think about our forefathers and what they built. Let’s try to bring back the beautiful and majestic vision of our founders back into the infrastructure that we build in this country. AMERICA IS BUILDING AGAIN under President Donald J. Trump

President Trump and I want to see BIG & BEAUTIFUL things built here for the American people. You think about our forefathers and what they built. Let’s try to bring back the beautiful and majestic vision of our founders back into the infrastructure that we build in this country. AMERICA IS BUILDING AGAIN under President Donald J. Trump

Secretary Sean Duffy

15,707 Aufrufe • vor 1 Monat

NOW: VP Vance lays out the vision behind the Foundry School, a push by the Trump administration to get America’s next generation building again. “We’re telling America’s next generation of entrepreneurs and engineers and just brilliant kids that there is a future.” Vance says that future is not just financial. It is about restoring dignity to careers built around manufacturing, engineering, skilled trades, and leading the teams that make things. “We believe in making things again. And we’re going to give you the tools and the education and the networking in order to do it.”

NOW: VP Vance lays out the vision behind the Foundry School, a push by the Trump administration to get America’s next generation building again. “We’re telling America’s next generation of entrepreneurs and engineers and just brilliant kids that there is a future.” Vance says that future is not just financial. It is about restoring dignity to careers built around manufacturing, engineering, skilled trades, and leading the teams that make things. “We believe in making things again. And we’re going to give you the tools and the education and the networking in order to do it.”

Fox News

139,280 Aufrufe • vor 1 Monat