正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

vision🍌 is here if you got into computer vision the way I did, starting with pixel-level labeling tasks like segmentation, edges, depth, or surface normals, you’ll probably feel the same seeing these results -- something big has quietly shifted, and it’s going to change how we approach these problems... show more

Saining Xie

40,676 subscribers

67,250 次观看 • 4 个月前 •via X (Twitter)

教育科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

I'll always root for a team that open-sources its best work, and Robbyant just did it properly. Robbyant, Ant Group's embodied-AI company, released LingBot-Vision, a vision foundation model for robots, and the part I love is the data. They trained it on 161M images, filtered down from 2B raw ones and mostly pulled straight from the open web, with no human labels, no edge detectors, no depth sensors anywhere in the loop. It learns the exact edges of objects from raw pixels. That's roughly a tenth of the data DINOv3 saw, and under a third of the training. And it shows in the results. On depth, working out how far away things are, the 1B model edges out a 7B on NYU-Depth. It also powers LingBot-Depth 2.0, which reads the surfaces cameras usually choke on, glass and mirrors, and halves indoor depth error. LingBot-Vision is fully open. Weights from the 1.1B flagship down to a tiny 21M version, code, and the paper. This is the timeline I want more of. Robbyant

I'll always root for a team that open-sources its best work, and Robbyant just did it properly. Robbyant, Ant Group's embodied-AI company, released LingBot-Vision, a vision foundation model for robots, and the part I love is the data. They trained it on 161M images, filtered down from 2B raw ones and mostly pulled straight from the open web, with no human labels, no edge detectors, no depth sensors anywhere in the loop. It learns the exact edges of objects from raw pixels. That's roughly a tenth of the data DINOv3 saw, and under a third of the training. And it shows in the results. On depth, working out how far away things are, the 1B model edges out a 7B on NYU-Depth. It also powers LingBot-Depth 2.0, which reads the surfaces cameras usually choke on, glass and mirrors, and halves indoor depth error. LingBot-Vision is fully open. Weights from the 1.1B flagship down to a tiny 21M version, code, and the paper. This is the timeline I want more of. Robbyant

Chubby♨️

48,249 次观看 • 1 个月前

The same people that wished for Trump to be assassinated are the same people that are saying the United Healthcare CEO deserved to d*e. Are you all not seeing what this country is turning into? It’s not okay to assassinate people no matter how you feel about them. Our nation is facing a spiritual plague. Evil has been rooted into the minds and spirits. Idk what it’s going to take to turn things around, but a major change is needed. Only God can help us. 🙏🏽 🇺🇸

The same people that wished for Trump to be assassinated are the same people that are saying the United Healthcare CEO deserved to d*e. Are you all not seeing what this country is turning into? It’s not okay to assassinate people no matter how you feel about them. Our nation is facing a spiritual plague. Evil has been rooted into the minds and spirits. Idk what it’s going to take to turn things around, but a major change is needed. Only God can help us. 🙏🏽 🇺🇸

Jay’V

81,756 次观看 • 1 年前

BREAKING 🚨: OpenAI is actively polishing its Tasks feature and there is a big chance we will see them announced today 👀 - Tasks Beta will allow users to schedule tasks like "send me AI news from TestingCatalog at 9 am" - These automations will be handled by a new model tool "jawbone" - There will be a new Notifications tab in settings, assumingly to control the way you will receive notifications about scheduled tasks Interestingly, the same feature is being in development for Gemini. What is the chance of seeing both of them released on the same day?

BREAKING 🚨: OpenAI is actively polishing its Tasks feature and there is a big chance we will see them announced today 👀 - Tasks Beta will allow users to schedule tasks like "send me AI news from TestingCatalog at 9 am" - These automations will be handled by a new model tool "jawbone" - There will be a new Notifications tab in settings, assumingly to control the way you will receive notifications about scheduled tasks Interestingly, the same feature is being in development for Gemini. What is the chance of seeing both of them released on the same day?

🚨 AI News | TestingCatalog

204,165 次观看 • 1 年前

Are you safer with LIDAR, or are you safer with vision? This is a false dichotomy. The more pertinent question today is "do you have something, or do you have nothing?" As you can see from the clips below, vision based systems avoid countless potential collisions every day. The difference between a crash and no crash isn't what sensor suite you chose — it's whether you have any AI on your car at all. Even if we concede that LIDAR may help prevent some additional crashes, we are really debating whether it is 1% of crashes or 0.00001% of crashes. Not all crashes are super complex and require lasers to detect. Most are simple, routine, and can easily be prevented by today's vision based AI. In fact, evidence is mounting that computer vision based systems can actually outperform more traditional approaches to self-driving. Why? Because the low cost of cameras enables you to create a much larger, more varied, and more diverse dataset. If you want to have expensive custom cars that's fine, but you're going to get fewer vehicles for the same budget. Seeing what's in front of you now is actually less important than predicting what's going to happen next — and the large scale datasets used to train pure vision systems are the best for predicting what's next. Counter-intuitively, the simpler and lower cost sensor actually has properties that make it better suited for training advanced AI. Computer vision based self-driving is often framed by LIDAR proponents as "cheaping out" on the sensor suite to save money. But it's not about being cheap, it's about bringing the technology to everyone. 1.2 million people die on the road every year around the world. That's around 39 million people who've died on the roads around the world since I was born — equivalent to a city the size of Tokyo or New Delhi getting wiped off the map. The status quo is simply unacceptable, and something has to be done to fix it as soon as possible. Of the 1.2 million people that will die on the roads this year, about 40,000 will be Americans. That's about 3%. So if we moved entirely to self-driving cars in America and brought crashes down to 0, 97% of the world's crash fatalities would still be taking place as usual. Deploying a $200,000+ retrofitted self-driving car may work in a few American cities, but it is not going to make sense in most places around the world where fares are much cheaper. Most often, the choice is not between LIDAR and vision. It's between vision or nothing. The best system is the system that's there running on my car when I need it to save my life. To say that all self-driving cars must have LIDAR is to sentence most of the world to death. We can't write off computer vision if we want to make a serious dent in this problem. It's going to be a key piece of the solution. Let LIDAR based players build the best self-driving car they can, and let vision based players do the same. We need to be trying everything

Are you safer with LIDAR, or are you safer with vision? This is a false dichotomy. The more pertinent question today is "do you have something, or do you have nothing?" As you can see from the clips below, vision based systems avoid countless potential collisions every day. The difference between a crash and no crash isn't what sensor suite you chose — it's whether you have any AI on your car at all. Even if we concede that LIDAR may help prevent some additional crashes, we are really debating whether it is 1% of crashes or 0.00001% of crashes. Not all crashes are super complex and require lasers to detect. Most are simple, routine, and can easily be prevented by today's vision based AI. In fact, evidence is mounting that computer vision based systems can actually outperform more traditional approaches to self-driving. Why? Because the low cost of cameras enables you to create a much larger, more varied, and more diverse dataset. If you want to have expensive custom cars that's fine, but you're going to get fewer vehicles for the same budget. Seeing what's in front of you now is actually less important than predicting what's going to happen next — and the large scale datasets used to train pure vision systems are the best for predicting what's next. Counter-intuitively, the simpler and lower cost sensor actually has properties that make it better suited for training advanced AI. Computer vision based self-driving is often framed by LIDAR proponents as "cheaping out" on the sensor suite to save money. But it's not about being cheap, it's about bringing the technology to everyone. 1.2 million people die on the road every year around the world. That's around 39 million people who've died on the roads around the world since I was born — equivalent to a city the size of Tokyo or New Delhi getting wiped off the map. The status quo is simply unacceptable, and something has to be done to fix it as soon as possible. Of the 1.2 million people that will die on the roads this year, about 40,000 will be Americans. That's about 3%. So if we moved entirely to self-driving cars in America and brought crashes down to 0, 97% of the world's crash fatalities would still be taking place as usual. Deploying a $200,000+ retrofitted self-driving car may work in a few American cities, but it is not going to make sense in most places around the world where fares are much cheaper. Most often, the choice is not between LIDAR and vision. It's between vision or nothing. The best system is the system that's there running on my car when I need it to save my life. To say that all self-driving cars must have LIDAR is to sentence most of the world to death. We can't write off computer vision if we want to make a serious dent in this problem. It's going to be a key piece of the solution. Let LIDAR based players build the best self-driving car they can, and let vision based players do the same. We need to be trying everything

Whole Mars Catalog

45,801 次观看 • 1 年前

Nobody has ever recorded these areas of Cusco, Peru, with the level of cinematic quality I will be bringing. For those who watched the Egypt episodes of my Ancient Technologies series, Peru is next, so i'm bringing the same level of quality and it's going to blow you away!

Nobody has ever recorded these areas of Cusco, Peru, with the level of cinematic quality I will be bringing. For those who watched the Egypt episodes of my Ancient Technologies series, Peru is next, so i'm bringing the same level of quality and it's going to blow you away!

Jay Anderson

142,332 次观看 • 11 个月前

"These hands are IP68 waterproof and food-safe, allowing NEO to wash its own hands like a human. The skin is co-designed with the sensors inside it and the tendons behind it. It is a functional material, not a cosmetic one. Because vision alone is insufficient for many tasks (especially with small, transparent, deformable, or occluded objects), this contact feedback is critical for adaptive, intelligent manipulation." We are living in cool times.

"These hands are IP68 waterproof and food-safe, allowing NEO to wash its own hands like a human. The skin is co-designed with the sensors inside it and the tendons behind it. It is a functional material, not a cosmetic one. Because vision alone is insufficient for many tasks (especially with small, transparent, deformable, or occluded objects), this contact feedback is critical for adaptive, intelligent manipulation." We are living in cool times.

Sawyer Merritt

238,127 次观看 • 1 个月前

“I feel confidence is a choice. It’s a thought. It’s a feeling. If you can find your way to feel differently about that, everything is going to change, your body language is going to change and good things — when you carry yourself with good body language, confident body language, confident energy — more times than not, good things tend to happen.” Kiké Hernandez giving a mental performance masterclass. 🔥 Success leaves clues. Good luck to Kiké and the Los Angeles Dodgers as they take on the New York Yankees in Game 1 of the World Series tonight. ⚾️ #worldseries #mlb #dodgers #yankees

“I feel confidence is a choice. It’s a thought. It’s a feeling. If you can find your way to feel differently about that, everything is going to change, your body language is going to change and good things — when you carry yourself with good body language, confident body language, confident energy — more times than not, good things tend to happen.” Kiké Hernandez giving a mental performance masterclass. 🔥 Success leaves clues. Good luck to Kiké and the Los Angeles Dodgers as they take on the New York Yankees in Game 1 of the World Series tonight. ⚾️ #worldseries #mlb #dodgers #yankees

Brian Cain

52,950 次观看 • 1 年前

learn the difference between when you need rest and when there is still energy to show up for yourself. it’s easy to let our emotions take over our day and how we feel, but there is still work to be done. you may not feel better going to the gym, but you’ll feel great knowing you did a workout when it was mentally/emotionally hard. 💙 *i am also okay. i have hard days mixed in with a lot of good ones. i decided to be vulnerable and post this to encourage showing up when it’s hard.*

learn the difference between when you need rest and when there is still energy to show up for yourself. it’s easy to let our emotions take over our day and how we feel, but there is still work to be done. you may not feel better going to the gym, but you’ll feel great knowing you did a workout when it was mentally/emotionally hard. 💙 i am also okay. i have hard days mixed in with a lot of good ones. i decided to be vulnerable and post this to encourage showing up when it’s hard.

Miranda Cohen

14,195 次观看 • 1 年前

Mavs FC, If you have not gotten over the Luka trade, it’s time to. Nico Harrison has been borderline perfect before and after that trade and his vision is going to be more effective than what we had going before. It’s obvious we didn’t wanna pay Chuka and his habits were not gonna change till he was given a wake up call and that call was him being traded. Now it’s time to embrace the Flagg era, we already have an established TWO WAY superstar who will play both sides and an amazing point guard who will contribute at an elite level when he returns. Let’s Ride. #NicoFC #FlaggFC #MFFL

Mavs FC, If you have not gotten over the Luka trade, it’s time to. Nico Harrison has been borderline perfect before and after that trade and his vision is going to be more effective than what we had going before. It’s obvious we didn’t wanna pay Chuka and his habits were not gonna change till he was given a wake up call and that call was him being traded. Now it’s time to embrace the Flagg era, we already have an established TWO WAY superstar who will play both sides and an amazing point guard who will contribute at an elite level when he returns. Let’s Ride. #NicoFC #FlaggFC #MFFL

𝓒𝓪𝓵

77,443 次观看 • 1 年前

If anyone tells you that you need to cut out carbs to lose weight… Run and never listen to anything that person says again ⁠⁠ I’ve gotten to single digit body fat numerous times while eating 2-4 slices of sourdough bread and 1-2 bagels every day every prep Here’s how I do it and how my clients do it too:⁠ ⁠ -We either track macros or build a meal plan around their lifestyle and schedule⁠ ⁠ -We build meals around foods we enjoy⁠ If I make you eat fish and broccoli, and you fucking hate fish and broccoli…I’m setting you up for failure right off the get go. Would never make any client eat something they despise when there are so many good, clean foods out there to eat to get us the results we’re after ⁠ -We stay in a slight calorie deficit without starving ourselves⁠ -IF our schedule allows it, we always try to move more or increase cardio before dropping food to keep food as high as possible for as long as possible More food = more fuel = better training sessions = helps preserve and or build muscle = better metabolism long term ⁠ - We train hard, lift heavy as fuck, and stay consistent because we’re not burned out or miserable with our food⁠ ⁠ Bread or carbs didn’t make you fat and DOES NOT make you fat ⁠ Being inconsistent and over eating is what did ⁠ If you keep jumping from diet to diet, cutting more and more food to “get results”…⁠ ⁠ You’ll never stay lean ⁠ Because you’ll never stick with it long enough for it to work because you’ll feel like death from not eating enough ⁠ But when you learn how to lose fat the right way with structure, flexibility, and a plan that fits your life…⁠ ⁠ You stop starting over and hating the process while getting lean eating the foods you actually enjoy eating On top of looking AND feeling better There’s a right way and there’s a wrong way If you wanna see how it’s done the right way, shoot me a message and I’ll show you how my team can help you as well

If anyone tells you that you need to cut out carbs to lose weight… Run and never listen to anything that person says again ⁠⁠ I’ve gotten to single digit body fat numerous times while eating 2-4 slices of sourdough bread and 1-2 bagels every day every prep Here’s how I do it and how my clients do it too:⁠ ⁠ -We either track macros or build a meal plan around their lifestyle and schedule⁠ ⁠ -We build meals around foods we enjoy⁠ If I make you eat fish and broccoli, and you fucking hate fish and broccoli…I’m setting you up for failure right off the get go. Would never make any client eat something they despise when there are so many good, clean foods out there to eat to get us the results we’re after ⁠ -We stay in a slight calorie deficit without starving ourselves⁠ -IF our schedule allows it, we always try to move more or increase cardio before dropping food to keep food as high as possible for as long as possible More food = more fuel = better training sessions = helps preserve and or build muscle = better metabolism long term ⁠ - We train hard, lift heavy as fuck, and stay consistent because we’re not burned out or miserable with our food⁠ ⁠ Bread or carbs didn’t make you fat and DOES NOT make you fat ⁠ Being inconsistent and over eating is what did ⁠ If you keep jumping from diet to diet, cutting more and more food to “get results”…⁠ ⁠ You’ll never stay lean ⁠ Because you’ll never stick with it long enough for it to work because you’ll feel like death from not eating enough ⁠ But when you learn how to lose fat the right way with structure, flexibility, and a plan that fits your life…⁠ ⁠ You stop starting over and hating the process while getting lean eating the foods you actually enjoy eating On top of looking AND feeling better There’s a right way and there’s a wrong way If you wanna see how it’s done the right way, shoot me a message and I’ll show you how my team can help you as well

Bailey Schober | Men’s Fitness & Nutrition Coach

25,757 次观看 • 1 个月前

Nano Banana Pro actually understands camera logic and film stocks, not just visual styles You can tell it the exact film stock and describe how the camera should behave, and it responds in a way that feels much closer to how a real cinematographer would interpret those choices. I tested this with 10 iconic film stocks, each paired with a precise prompt, and the results came out shot-ready when generated with Leonardo AI. If you care about realism, mood, and true cinematic accuracy, these 10prompts will completely change how you approach prompting👇

Nano Banana Pro actually understands camera logic and film stocks, not just visual styles You can tell it the exact film stock and describe how the camera should behave, and it responds in a way that feels much closer to how a real cinematographer would interpret those choices. I tested this with 10 iconic film stocks, each paired with a precise prompt, and the results came out shot-ready when generated with Leonardo AI. If you care about realism, mood, and true cinematic accuracy, these 10prompts will completely change how you approach prompting👇

Amira Zairi

54,961 次观看 • 6 个月前

today’s experiment: chimera. a little tool that let’s you realtime morph through a design system matrix generated by 4 reference images. this one was inspired by listening to techbimbo talk about her process on Dive Club with Ridd 🤿 and How I AI with claire vo 🖤. her approach to choosing moodboards over prompts made me wonder what might be possible if we applied that same approach to generative UI. and after a few dead ends, the idea turned into chimera. the results are very generic at the moment but I might tune it up if people seem interested. the big reminder for me is how much more inspiring a tool feels when you can explore in realtime instead of waiting for results every time you make a change. lots more things to try in that direction.

today’s experiment: chimera. a little tool that let’s you realtime morph through a design system matrix generated by 4 reference images. this one was inspired by listening to techbimbo talk about her process on Dive Club with Ridd 🤿 and How I AI with claire vo 🖤. her approach to choosing moodboards over prompts made me wonder what might be possible if we applied that same approach to generative UI. and after a few dead ends, the idea turned into chimera. the results are very generic at the moment but I might tune it up if people seem interested. the big reminder for me is how much more inspiring a tool feels when you can explore in realtime instead of waiting for results every time you make a change. lots more things to try in that direction.

River Marchand

202,335 次观看 • 5 个月前

Zach Ertz will return to the Linc Thursday night for the first time since being traded by the Eagles “Just because I’m playing down here now, it doesn’t change how I feel about the city, the people, the fans there. I don’t know what the reception is going to be. But it’s going to be a good day seeing so many familiar faces” -Zach told me on my podcast he looked forward to coming back to Philly with the Commanders

Zach Ertz will return to the Linc Thursday night for the first time since being traded by the Eagles “Just because I’m playing down here now, it doesn’t change how I feel about the city, the people, the fans there. I don’t know what the reception is going to be. But it’s going to be a good day seeing so many familiar faces” -Zach told me on my podcast he looked forward to coming back to Philly with the Commanders

John Clark

208,227 次观看 • 1 年前

“The fight is first African because among ourselves Africans, we don’t speak with the same voice, we don’t love each other, it has to be said. We have to find a way to transcend these barriers we have put up for ourselves. We have to find a way to unite, and I count on you women to help us unite.” - Captain Ibrahim Traore

“The fight is first African because among ourselves Africans, we don’t speak with the same voice, we don’t love each other, it has to be said. We have to find a way to transcend these barriers we have put up for ourselves. We have to find a way to unite, and I count on you women to help us unite.” - Captain Ibrahim Traore

Sy Marcus Herve Traore

106,805 次观看 • 8 个月前

AND WE’RE BACK! 🙌 Season 2 of #SideHustlers is officially out NOW! 🎉 Watch the entire season for FREE on Roku Channel Watch here 👉🏻 If you’ve got a side gig or business ideas and don’t know how to take the first step, this show is for you. We don’t just skim the surface—we get down to the nitty-gritty, mentoring incredible women to turn their passions into profit and put them into positions of power. We hope you watch and get inspired to make your first move.

AND WE’RE BACK! 🙌 Season 2 of #SideHustlers is officially out NOW! 🎉 Watch the entire season for FREE on Roku Channel Watch here 👉🏻 If you’ve got a side gig or business ideas and don’t know how to take the first step, this show is for you. We don’t just skim the surface—we get down to the nitty-gritty, mentoring incredible women to turn their passions into profit and put them into positions of power. We hope you watch and get inspired to make your first move.

Ashley Graham

72,701 次观看 • 2 年前