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𝗛𝗲𝗿𝗲’𝘀 𝗮 𝗺𝗶𝘀𝘁𝗮𝗸𝗲 𝗜 𝘀𝗲𝗲 𝗮𝗹𝗹 𝘁𝗵𝗲 𝘁𝗶𝗺𝗲. Teams collect robot data at 30Hz because “that’s what our robot runs at” and then wonder why their models underperform. The truth is that 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝘁𝗮𝘀𝗸𝘀 𝗻𝗲𝗲𝗱 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝘁𝗲𝗺𝗽𝗼𝗿𝗮𝗹 𝗿𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀. Pick-and-place often works best around 10Hz for smooth motions. Dynamic catching... requires 30Hz or more. Assembly tasks move slower, so 5Hz can suffice. Precision insertion demands 50Hz or higher for micro-adjustments. Here’s the catch. The 𝗼𝗽𝘁𝗶𝗺𝗮𝗹 𝗳𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 𝗶𝘀𝗻’𝘁 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗴𝘂𝗲𝘀𝘀. The traditional approach wastes time and demos. You pick a frequency, collect thousands of demos, train a model, get mediocre results, and realize you have to start over. A better way is to 𝗰𝗼𝗹𝗹𝗲𝗰𝘁 𝗱𝗮𝘁𝗮 𝗮𝘁 𝗵𝗶𝗴𝗵 𝗳𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆, experiment with sync rates, and find what actually works for your task. We’ve seen grasping tasks perform best at 12Hz - not 10Hz, not 15Hz - discovered only through systematic testing. 𝗦𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗳𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 𝗶𝘀 𝗮 𝗵𝘆𝗽𝗲𝗿𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿. 𝗧𝗿𝗲𝗮𝘁 𝗶𝘁 𝗹𝗶𝗸𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗿𝗮𝘁𝗲 𝗼𝗿 𝗯𝗮𝘁𝗰𝗵 𝘀𝗶𝘇𝗲. 𝗗𝗼𝗻’𝘁 𝗱𝗲𝗰𝗶𝗱𝗲 𝗶𝘁 𝗼𝗻𝗰𝗲 𝗮𝗻𝗱 𝗿𝗲𝗴𝗿𝗲𝘁 𝗶𝘁 𝗳𝗼𝗿𝗲𝘃𝗲𝗿. How do you choose your data collection frequency, fixed upfront or experimental?show more

Stephen James

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22,574 görüntüleme • 10 ay önce •via X (Twitter)

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Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

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karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo for your to mess around with it in the latest episode of The Startup Ideas Podcast (SIP) 🧃 i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch

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GREG ISENBERG

436,752 görüntüleme • 5 ay önce

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I am happy to be finally able to post what I was able to build over the last few weeks. A full real-time high-frequency state estimation and mapping algorithm completely written line by line from scratch in Rust, which can be used by robots to navigate and reason within the 3D world also in complicated scenarios. TBH this took me longer than expected (which was still super fast :D) but you need to get a lot right: From the sensors over the drivers to their respective estimation pipeline and then fusing everything together - a covariance nightmare - and something that can be refined over years to come (currently using Fisher Information from the real measurements). What you see here is not the output of some structure from motion or Gaussian splatting, these are the points of a tight mesh (high res for the video) that a robot can use in real time to plan a path using any open-source planner. The flight you experience through the world is the actual state estimate of the scanner which is published at IMU rate. Yes, currently we have some artefacts of filtered-out humans (GDPR compliant of course :) ) and moving cars and there is still some calibration that could be improved. Offline refinement with SFM and Gaussian splats is possible as well but currently not on the road map. What is on the road map is an exciting step of now being able to collect data from customers at construction sites and in warehouses (currently handheld in the near future with a robot). This data can then be used by our physical agents to reason within this world and automate any customer’s task related to 3D data. If you have anyone who wastes time manually looking 👀 through 3D data, or cannot collect enough 3D data and interpret: Tell me how to reach them!

Benedikt Seidel

16,656 görüntüleme • 3 ay önce

Unpopular 🌶️ take but it's time we call it out and tell the truth! Entitlement is a cancer. So many wonder why we’re losing great coaches, leaders and struggling to find quality ones. No one wants to deal with this level of nonsense. Entitled parents are teaching entitled kids that they can whine, complain, and manipulate their way into what they want. But that’s not how life works. The best players earn their spot that’s how it’s supposed to be. Don’t like where you stand? Work harder or move on. Because in college and especially in the real world you can’t just call the coach or your child’s future employer and demand they get a position, scholarship, or job they didn’t earn. Accountability builds character. Excuses don’t. And it’s sad, because these parents aren’t helping they’re robbing their kids of the opportunity to build confidence and resilience through hard work. When you step in and do it for them, the message you send is: “You’re not good enough on your own.” But the truth is, they’ll never know what they’re capable of if you don’t let them earn it. Thoughts? 💭

Unpopular 🌶️ take but it's time we call it out and tell the truth! Entitlement is a cancer. So many wonder why we’re losing great coaches, leaders and struggling to find quality ones. No one wants to deal with this level of nonsense. Entitled parents are teaching entitled kids that they can whine, complain, and manipulate their way into what they want. But that’s not how life works. The best players earn their spot that’s how it’s supposed to be. Don’t like where you stand? Work harder or move on. Because in college and especially in the real world you can’t just call the coach or your child’s future employer and demand they get a position, scholarship, or job they didn’t earn. Accountability builds character. Excuses don’t. And it’s sad, because these parents aren’t helping they’re robbing their kids of the opportunity to build confidence and resilience through hard work. When you step in and do it for them, the message you send is: “You’re not good enough on your own.” But the truth is, they’ll never know what they’re capable of if you don’t let them earn it. Thoughts? 💭

Wendi A. Irlbeck MS, RDN, LD, CISSN

36,004 görüntüleme • 10 ay önce

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Naval

856,015 görüntüleme • 5 ay önce

We are thinking of robots all wrong. Why a $1,500 robot is far more important to buy than a $20,000 one. And why it will pay for itself within a year. First of all, for the last eight years I've been a Silicon Valley housewife. Picking the kids up from school. Doing a variety of tasks taking care of them from feeding them to laundry. And I've already bought a $20,000 Neo from 1X and have built the most complete list on X of the robotics industry. Just to set the tone for this conversation. We must ask ourselves "what is the goal of a robot?" before we go into why typical American homeowners might want one, and shell out quite a bit of money for one, like the Neo. I grew up in Silicon Valley back when it was all orchards and the farmers taught me "pick the low hanging fruit first." What is the low hanging fruit in the American home? Laundry? Cleaning the toilets or your home? Watering the plants? Bringing you a beer? Nope. It is the preparation of food. Yesterday I got a new Posha robot, and the attached video with founder Raghav Gupta gets into depth about what the $1,500 robot does. Cooks meals. Far more time in the home is spent cooking meals than the other tasks and is far more complex than, say, folding laundry. But there is something I think everyone is missing in the discussion of robots: "what is the goal?" I've been doing consumer research talking with many around the world about these things. People tend to have a few goals: 1. Improve their lives. 2. Save them time. 3. Save them money. 4. Enable a new business. What is the best way to improve your life? Upgrade your food. This is very hard to do when both parents in a family are working their butts off to try to improve their careers. It gets worse when a single parent is trying to keep everything going. How many times have you decided to go out to eat rather than spend an hour cooking food? Doing that for a family of four in Silicon Valley costs $100+. And guarantees your family will overeat. I've done that many times while raising my kids, and often I can't say no when desert comes around. It gets worse if you take the easy route out at home. Put a pre-processed meal into the microwave, or heat up a frozen pizza. Horrible for everyone's health. But what if you could have a robot at home that cooks your meals? Then costs go down to less than $20 and ingredients get way way better. It gets worse when you consider a $20,000 humanoid. They aren't safe enough to trust around stoves yet. And their hands aren't yet dexterous enough to do that. I doubt my Neo will be allowed to cook meals over an open flame, and if so I will have to watch it to make sure it doesn't do anything wrong. (The Neo that arrives next year will be teleoperated by a human remotely and the risks that person does something, or misses oil catching on fire is just way too high). While neither robot will be able to do all food preparation (cutting chicken up into cubes, or cutting carrots or other fruits, for instance) this robot dramatically reduces the time needed for a human to make a meal and dramatically reduces the costs to do so. And, as we discuss in the video, when the Neo does arrive the Neo will be able to use this machine too, reducing time even more (and will be able to set the table and wash the dishes, saving even more time so you can answer more emails or learn more AI programs or, even, pay attention to your kids and give them a few more minutes of quality time). The robot industry should focus on the low hanging fruit first. Cooking meals is the biggest one to improve your life, save you time, and make your family healthier. It's why I bought one. And they actually make two: Your money is way better spent getting one of these than buying a humanoid. And if you do get a humanoid, like I am, they go together like peanut butter and jelly. ⚪️ sierra catalina has been saying this for years that our focus on humanoids is overblown and that specialized robots (you see my Matic Robots in the background to prove this point) are way better for most families.

We are thinking of robots all wrong. Why a $1,500 robot is far more important to buy than a $20,000 one. And why it will pay for itself within a year. First of all, for the last eight years I've been a Silicon Valley housewife. Picking the kids up from school. Doing a variety of tasks taking care of them from feeding them to laundry. And I've already bought a $20,000 Neo from 1X and have built the most complete list on X of the robotics industry. Just to set the tone for this conversation. We must ask ourselves "what is the goal of a robot?" before we go into why typical American homeowners might want one, and shell out quite a bit of money for one, like the Neo. I grew up in Silicon Valley back when it was all orchards and the farmers taught me "pick the low hanging fruit first." What is the low hanging fruit in the American home? Laundry? Cleaning the toilets or your home? Watering the plants? Bringing you a beer? Nope. It is the preparation of food. Yesterday I got a new Posha robot, and the attached video with founder Raghav Gupta gets into depth about what the $1,500 robot does. Cooks meals. Far more time in the home is spent cooking meals than the other tasks and is far more complex than, say, folding laundry. But there is something I think everyone is missing in the discussion of robots: "what is the goal?" I've been doing consumer research talking with many around the world about these things. People tend to have a few goals: 1. Improve their lives. 2. Save them time. 3. Save them money. 4. Enable a new business. What is the best way to improve your life? Upgrade your food. This is very hard to do when both parents in a family are working their butts off to try to improve their careers. It gets worse when a single parent is trying to keep everything going. How many times have you decided to go out to eat rather than spend an hour cooking food? Doing that for a family of four in Silicon Valley costs $100+. And guarantees your family will overeat. I've done that many times while raising my kids, and often I can't say no when desert comes around. It gets worse if you take the easy route out at home. Put a pre-processed meal into the microwave, or heat up a frozen pizza. Horrible for everyone's health. But what if you could have a robot at home that cooks your meals? Then costs go down to less than $20 and ingredients get way way better. It gets worse when you consider a $20,000 humanoid. They aren't safe enough to trust around stoves yet. And their hands aren't yet dexterous enough to do that. I doubt my Neo will be allowed to cook meals over an open flame, and if so I will have to watch it to make sure it doesn't do anything wrong. (The Neo that arrives next year will be teleoperated by a human remotely and the risks that person does something, or misses oil catching on fire is just way too high). While neither robot will be able to do all food preparation (cutting chicken up into cubes, or cutting carrots or other fruits, for instance) this robot dramatically reduces the time needed for a human to make a meal and dramatically reduces the costs to do so. And, as we discuss in the video, when the Neo does arrive the Neo will be able to use this machine too, reducing time even more (and will be able to set the table and wash the dishes, saving even more time so you can answer more emails or learn more AI programs or, even, pay attention to your kids and give them a few more minutes of quality time). The robot industry should focus on the low hanging fruit first. Cooking meals is the biggest one to improve your life, save you time, and make your family healthier. It's why I bought one. And they actually make two: Your money is way better spent getting one of these than buying a humanoid. And if you do get a humanoid, like I am, they go together like peanut butter and jelly. ⚪️ sierra catalina has been saying this for years that our focus on humanoids is overblown and that specialized robots (you see my Matic Robots in the background to prove this point) are way better for most families.

Robert Scoble

178,449 görüntüleme • 9 ay önce

Just read a heated debate between two bodybuilders about fasted cardio. The argument is that studies don’t support it being any better than fed cardio. In fact, it may be inferior. Let’s see what John Meadows thought about fasted cardio and those studies. My personal, anecdotal experience is that fasted cardio was one of the tools I used to get into the best shape of my life, multiple times in the past. Now that I have more freedom, I do both... But every time I miss my morning fasted cardio session, I feel like I didn’t do 100% of what I know has worked best for me. It’s always in the back of my mind that fasted cardio might be more effective, simply because that’s been my experience. My take is this: if you’ve tried something, anything many times over and you just know it works for you, why try to fix it? Just because some studies say there might be a better way? Like John Meadows said: “You can find a study that supports anything you believe in. If you believe you shouldn’t do it, or you should do it, it doesn’t matter... you’ll find a study that agrees with you. So everybody is right and everybody is wrong.” Later he added: “Experiment and find out if it works for you.” That’s what I think bodybuilding is all about. No study should override your personal experience and convictions or determine your individual choices about how you do things. Because when it comes to bodybuilding and your own body, you’re not a participant in someone else’s study. You’re studying yourself through trial and error. You’re your own experiment.

Just read a heated debate between two bodybuilders about fasted cardio. The argument is that studies don’t support it being any better than fed cardio. In fact, it may be inferior. Let’s see what John Meadows thought about fasted cardio and those studies. My personal, anecdotal experience is that fasted cardio was one of the tools I used to get into the best shape of my life, multiple times in the past. Now that I have more freedom, I do both... But every time I miss my morning fasted cardio session, I feel like I didn’t do 100% of what I know has worked best for me. It’s always in the back of my mind that fasted cardio might be more effective, simply because that’s been my experience. My take is this: if you’ve tried something, anything many times over and you just know it works for you, why try to fix it? Just because some studies say there might be a better way? Like John Meadows said: “You can find a study that supports anything you believe in. If you believe you shouldn’t do it, or you should do it, it doesn’t matter... you’ll find a study that agrees with you. So everybody is right and everybody is wrong.” Later he added: “Experiment and find out if it works for you.” That’s what I think bodybuilding is all about. No study should override your personal experience and convictions or determine your individual choices about how you do things. Because when it comes to bodybuilding and your own body, you’re not a participant in someone else’s study. You’re studying yourself through trial and error. You’re your own experiment.

Bartek Ka

61,976 görüntüleme • 5 gün önce

Imagine controlling a real robot from your home… no money, no experience needed. Sounds crazy, right? But it’s already possible. BitRobot 🦾 is building the world’s first open robotics lab powered by crypto incentives. Instead of one company doing everything, it connects people from all over the world to work together on real robotics and AI tasks. The network is made up of specialized subnets, each focused on different missions from collecting real-world data with robots to developing humanoid robots for everyday use. What makes it powerful? It uses crypto rewards to coordinate global resources like compute power, robot fleets, teleoperation time, and even human effort. This allows BitRobot to scale much faster than traditional labs. Now here’s the best part 👇 The easiest way to get involved right now is through TeleArms. You don’t need: – a robot – engineering skills – or any investment – Hardware All you need is a laptop and an internet connection. From your home, you can remotely control a real robotic arm inside BitRobot’s lab using your keyboard or mouse to pick up, move, and place objects. Every action you take helps generate real-world data that trains the next generation of AI to perform useful physical tasks. So you’re not just playing with a robot… You’re actually helping build the future of AI. I’ve been talking about BitRobot for a while, and now TeleArms is live! You can control a real robotic arm from home, but it’s in a private beta with limited access. I’m now an ambassador for BitRobot Network. I’m giving 4 exclusive access codes to my community so they can experience it too. A lot of people want to experience this, but since it’s limited, I decided to do a random giveaway. To participate in this giveaway : 1. Join the BitRobot Network Discord (Link in comments) 2. Come back to this post and comment below, explaining why you want to join TeleArms and how you plan to contribute. Note : Winner will be announced in the last 7 days. Once you do that, you’ll be in the running for one of the codes! Good luck, and I can’t wait to see your ideas!

Imagine controlling a real robot from your home… no money, no experience needed. Sounds crazy, right? But it’s already possible. BitRobot 🦾 is building the world’s first open robotics lab powered by crypto incentives. Instead of one company doing everything, it connects people from all over the world to work together on real robotics and AI tasks. The network is made up of specialized subnets, each focused on different missions from collecting real-world data with robots to developing humanoid robots for everyday use. What makes it powerful? It uses crypto rewards to coordinate global resources like compute power, robot fleets, teleoperation time, and even human effort. This allows BitRobot to scale much faster than traditional labs. Now here’s the best part 👇 The easiest way to get involved right now is through TeleArms. You don’t need: – a robot – engineering skills – or any investment – Hardware All you need is a laptop and an internet connection. From your home, you can remotely control a real robotic arm inside BitRobot’s lab using your keyboard or mouse to pick up, move, and place objects. Every action you take helps generate real-world data that trains the next generation of AI to perform useful physical tasks. So you’re not just playing with a robot… You’re actually helping build the future of AI. I’ve been talking about BitRobot for a while, and now TeleArms is live! You can control a real robotic arm from home, but it’s in a private beta with limited access. I’m now an ambassador for BitRobot Network. I’m giving 4 exclusive access codes to my community so they can experience it too. A lot of people want to experience this, but since it’s limited, I decided to do a random giveaway. To participate in this giveaway : 1. Join the BitRobot Network Discord (Link in comments) 2. Come back to this post and comment below, explaining why you want to join TeleArms and how you plan to contribute. Note : Winner will be announced in the last 7 days. Once you do that, you’ll be in the running for one of the codes! Good luck, and I can’t wait to see your ideas!

Apurba.Eth

36,289 görüntüleme • 5 ay önce

$I hear so often from the Dommes I work with that they struggle with people online fetichizing them and simply seeing them for how sexy and beautiful they are. They project their fantasies and their desires onto you. That stops immediately once you move the attention from you to them. From 'look at me' to 'I see you'. What does that look like? When you create content, think of them and what this scene or that narrative is evoking. What will they learn from you? What they want is not to passively watch how sexy you are, but for you to train them, to give them instructions, to teach them, to guide them, to be in charge, to command them. This is not being an object but the main subject. The Authority figure. How is your content already doing that. The sexy photos can still be there, they are important to already capture des attention. But what you do with that attention once you have it, is where the power dynamic is established. Positioning yourself as more than a stunning Goddess, but actually a woman who has a voice, opinions, perspective, a philosophy, a way to doing things, teaching them what you like, how you like it, why you like it, already makes them want to be that for you. You hold the attention, you hold the power, so you direct it. And for that, you want them to know you get them and you know what lives within them... that creates the desire for you to be the one exposing it. You instantly build trust. Not because you demanded it, but because you earned it: you showed them you know what you are doing. You have experience, you understand them. They are not told to come see you, they are seduced into it. They desire it. And they will work for it. This will attract better clients (real subs) and instead of you trying to get their attention, they will work to earn yours. If you want to learn more about power dynamics, building a brand as a Pro or the psychology behind BDSM, you can now access all my trainings and classes in one place for a fraction of the cost of The Dominatrix Academy. And you can reinvest the total amount towards the Program. Message me [SECRET] for the details. This offer is not available on my website.$

I hear so often from the Dommes I work with that they struggle with people online fetichizing them and simply seeing them for how sexy and beautiful they are. They project their fantasies and their desires onto you. That stops immediately once you move the attention from you to them. From 'look at me' to 'I see you'. What does that look like? When you create content, think of them and what this scene or that narrative is evoking. What will they learn from you? What they want is not to passively watch how sexy you are, but for you to train them, to give them instructions, to teach them, to guide them, to be in charge, to command them. This is not being an object but the main subject. The Authority figure. How is your content already doing that. The sexy photos can still be there, they are important to already capture des attention. But what you do with that attention once you have it, is where the power dynamic is established. Positioning yourself as more than a stunning Goddess, but actually a woman who has a voice, opinions, perspective, a philosophy, a way to doing things, teaching them what you like, how you like it, why you like it, already makes them want to be that for you. You hold the attention, you hold the power, so you direct it. And for that, you want them to know you get them and you know what lives within them... that creates the desire for you to be the one exposing it. You instantly build trust. Not because you demanded it, but because you earned it: you showed them you know what you are doing. You have experience, you understand them. They are not told to come see you, they are seduced into it. They desire it. And they will work for it. This will attract better clients (real subs) and instead of you trying to get their attention, they will work to earn yours. If you want to learn more about power dynamics, building a brand as a Pro or the psychology behind BDSM, you can now access all my trainings and classes in one place for a fraction of the cost of The Dominatrix Academy. And you can reinvest the total amount towards the Program. Message me [SECRET] for the details. This offer is not available on my website.

Ms. Malissia

16,579 görüntüleme • 4 ay önce

The uncomfortable truth about hospitals is this: Patients never really know. They don’t know if the surgery is truly necessary. Or if it’s being recommended because that’s how the system makes money. Sadly today, people don’t go to hospitals expecting care. They go expecting a sales process. The data is clear, a medi-angels study showed that over 40% of all surgeries prescribed were not required. A recent FOGSI study showed 95% of hysterectomies were unnecessary. Which is exactly why we built Supersurgery, the most honest and hassle free surgery experience ever.👇 Honest Opinion from Zero Commission doctors With Supersurgery, you get an honest opinion because our doctors are full-time and salaried. There are no commissions, no sales targets or referrals. They take the time to listen to you and are focused only and only on what is best for you. Fixed Prices We have a fixed price for hte procedure. It is all inclusive and doesn't change whether you pay yourself or via insurance. It doesn't change even if your case complexity changes or whether you need more tests or scans. in fact if your doctor says you need to stay a few more days to get better, we don't charge for that either. we absorb the cost. Magic Discharge Unlike other hospitals where at discharge you have to wait for hours and hours and hours, at Superhealth we pre-commit the discharge time and it is instant. as soon as hte doctor confirms you are fit to go, you can get up and leave. there is no drama, no paperwork, no running to 10 departments trying to get clearances. Today we prescribe about 50% fewer surgeries than the industry. And if you do need it, then it should be simple, honest and high quality. I really hope you never need surgery, but if you do, don't settle for just surgery, get Supersurgery. Learn more at

The uncomfortable truth about hospitals is this: Patients never really know. They don’t know if the surgery is truly necessary. Or if it’s being recommended because that’s how the system makes money. Sadly today, people don’t go to hospitals expecting care. They go expecting a sales process. The data is clear, a medi-angels study showed that over 40% of all surgeries prescribed were not required. A recent FOGSI study showed 95% of hysterectomies were unnecessary. Which is exactly why we built Supersurgery, the most honest and hassle free surgery experience ever.👇 Honest Opinion from Zero Commission doctors With Supersurgery, you get an honest opinion because our doctors are full-time and salaried. There are no commissions, no sales targets or referrals. They take the time to listen to you and are focused only and only on what is best for you. Fixed Prices We have a fixed price for hte procedure. It is all inclusive and doesn't change whether you pay yourself or via insurance. It doesn't change even if your case complexity changes or whether you need more tests or scans. in fact if your doctor says you need to stay a few more days to get better, we don't charge for that either. we absorb the cost. Magic Discharge Unlike other hospitals where at discharge you have to wait for hours and hours and hours, at Superhealth we pre-commit the discharge time and it is instant. as soon as hte doctor confirms you are fit to go, you can get up and leave. there is no drama, no paperwork, no running to 10 departments trying to get clearances. Today we prescribe about 50% fewer surgeries than the industry. And if you do need it, then it should be simple, honest and high quality. I really hope you never need surgery, but if you do, don't settle for just surgery, get Supersurgery. Learn more at

Varun Dubey

46,113 görüntüleme • 5 ay önce

Box CEO Aaron Levie's defense of software over vibe-coded, n-of-1 internal tools: "If you're Ford, and you're doing your supply chain on an ERP system, you want that to work the exact same way every single time." "The billions of transactions going through that ERP system, you cannot take for granted. So the idea that you're going to go vibe-code that is not possible, or at least not likely." "The other point is: your company has a fixed amount of IT resources. And you have to decide what you're going to spend your time on as an organization." "Do you want to spend time on rebuilding something that the market can supply you, that's seen best practices thousands of times? Or do you want to go and build that out with your n-of-1 experience?" "Or do you want to spend your limited, scarce resources on building software, and building experiences, that will make you more money, and that will actually be used by your customers?" "I think on the margin the average enterprise is going to spend their time and energy on the latter." "I'm 100% bullish on vibe-coding, 100% bullish that we're going to have 100x more software. But that still doesn't cross the threshold where I would want to go build our own CRM system."

Box CEO Aaron Levie's defense of software over vibe-coded, n-of-1 internal tools: "If you're Ford, and you're doing your supply chain on an ERP system, you want that to work the exact same way every single time." "The billions of transactions going through that ERP system, you cannot take for granted. So the idea that you're going to go vibe-code that is not possible, or at least not likely." "The other point is: your company has a fixed amount of IT resources. And you have to decide what you're going to spend your time on as an organization." "Do you want to spend time on rebuilding something that the market can supply you, that's seen best practices thousands of times? Or do you want to go and build that out with your n-of-1 experience?" "Or do you want to spend your limited, scarce resources on building software, and building experiences, that will make you more money, and that will actually be used by your customers?" "I think on the margin the average enterprise is going to spend their time and energy on the latter." "I'm 100% bullish on vibe-coding, 100% bullish that we're going to have 100x more software. But that still doesn't cross the threshold where I would want to go build our own CRM system."

TBPN

384,058 görüntüleme • 6 ay önce

Box CEO Aaron Levie's defense of software over vibe-coded, n-of-1 internal tools: "If you're Ford, and you're doing your supply chain on an ERP system, you want that to work the exact same way every single time." "The billions of transactions going through that ERP system, you cannot take for granted. So the idea that you're going to go vibe-code that is not possible, or at least not likely." "The other point is: your company has a fixed amount of IT resources. And you have to decide what you're going to spend your time on as an organization." "Do you want to spend time on rebuilding something that the market can supply you, that's seen best practices thousands of times? Or do you want to go and build that out with your n-of-1 experience?" "Or do you want to spend your limited, scarce resources on building software, and building experiences, that will make you more money, and that will actually be used by your customers?" "I think on the margin the average enterprise is going to spend their time and energy on the latter." "I'm 100% bullish on vibe-coding, 100% bullish that we're going to have 100x more software. But that still doesn't cross the threshold where I would want to go build our own CRM system."

Box CEO Aaron Levie's defense of software over vibe-coded, n-of-1 internal tools: "If you're Ford, and you're doing your supply chain on an ERP system, you want that to work the exact same way every single time." "The billions of transactions going through that ERP system, you cannot take for granted. So the idea that you're going to go vibe-code that is not possible, or at least not likely." "The other point is: your company has a fixed amount of IT resources. And you have to decide what you're going to spend your time on as an organization." "Do you want to spend time on rebuilding something that the market can supply you, that's seen best practices thousands of times? Or do you want to go and build that out with your n-of-1 experience?" "Or do you want to spend your limited, scarce resources on building software, and building experiences, that will make you more money, and that will actually be used by your customers?" "I think on the margin the average enterprise is going to spend their time and energy on the latter." "I'm 100% bullish on vibe-coding, 100% bullish that we're going to have 100x more software. But that still doesn't cross the threshold where I would want to go build our own CRM system."

TBPN

34,529 görüntüleme • 6 ay önce

Jason Calacanis on America’s AI Backlash: “They’re Sharpening the Guillotines” @jason: “Why do they want to stop data centers so much? Why are Americans so opposed to AI right now? The perception of AI was already pre-baked with science fiction, of course, so we needed to work to get past the Skynet Terminator vision. But Dario told everybody, ‘We're going to lose our jobs.’ Elon said, ‘You're not going to have to work.’ It was a more world positive view, but he did say that. Saying that kind of stuff to people who have to work for a living, and who have no savings, and who are watching administration after administration not be able to tame inflation, whether they're Democrats or Republicans, and then watching the minimum wage just stay the way it is and barely move while the stock market hits records, and then all of us, all of us being tech executives, get super rich, and you wonder why people now are embracing socialism. And it’s why you have Abbott and Shapiro saying, ‘You know what? I have to be anti-capitalistic. I have to be a decel. I have to decelerate.’ It's because they were supposed to see some relief, and they haven't. And then what do people do who do not feel they have any power? They look to find power, and if you look at what's happened, they are sharpening the guillotines. And that metaphor should wake people up. We need to wake up and look at why people are so upset. It's because they can't survive. They're having a hard time with affordability, with their wages. And what two things can they do? They can vote for socialists, and they can actually stop data centers, and that's what this is about.”

Jason Calacanis on America’s AI Backlash: “They’re Sharpening the Guillotines” @jason: “Why do they want to stop data centers so much? Why are Americans so opposed to AI right now? The perception of AI was already pre-baked with science fiction, of course, so we needed to work to get past the Skynet Terminator vision. But Dario told everybody, ‘We're going to lose our jobs.’ Elon said, ‘You're not going to have to work.’ It was a more world positive view, but he did say that. Saying that kind of stuff to people who have to work for a living, and who have no savings, and who are watching administration after administration not be able to tame inflation, whether they're Democrats or Republicans, and then watching the minimum wage just stay the way it is and barely move while the stock market hits records, and then all of us, all of us being tech executives, get super rich, and you wonder why people now are embracing socialism. And it’s why you have Abbott and Shapiro saying, ‘You know what? I have to be anti-capitalistic. I have to be a decel. I have to decelerate.’ It's because they were supposed to see some relief, and they haven't. And then what do people do who do not feel they have any power? They look to find power, and if you look at what's happened, they are sharpening the guillotines. And that metaphor should wake people up. We need to wake up and look at why people are so upset. It's because they can't survive. They're having a hard time with affordability, with their wages. And what two things can they do? They can vote for socialists, and they can actually stop data centers, and that's what this is about.”

The All-In Podcast

39,146 görüntüleme • 6 gün önce

If there’s one lesson people are beginning to realize about modern technology, it’s this: The devices we rely on every day aren’t just tools. They’re surveillance systems. 👉 Learn more: Your phone tracks your location. Your apps collect your behavior. And now, AI integrated directly into your computer can record what you do on your screen every few seconds. Your emails. Your messages. Your searches. Even things you type but never send. That isn’t speculation. It’s the direction Big Tech has already taken. And the uncomfortable truth is that the people building these systems know exactly how powerful they are. Many of the same tech leaders who sell these devices to billions of users take extraordinary precautions with their own technology, covering cameras and limiting the very tools they encourage everyone else to use. Because data is power. And the more data that flows through these systems, the more influence the companies behind them gain over the digital world we all live in. But the playing field doesn’t have to stay that way. On Thursday, privacy experts Glenn and Eric Meder are hosting a free Privacy Academy webinar explaining exactly how these systems work and what people can do about them. During the training, they walk through how modern operating systems collect and analyze your behavior, how AI tools can build detailed behavioral profiles, and why many of the privacy settings people rely on don’t actually stop data collection. More importantly, they explain a practical alternative. Instead of relying on software designed around data collection, they show how privacy-focused systems like Linux can give users far more control over their own computers. And they break it down step by step so everyday people—not just programmers or tech experts—can understand how to make the transition. Because once you understand how these systems work, protecting your privacy becomes far easier than most people think. The free webinar is happening Thursday, March 5 at 7 PM Central, and it’s open to anyone who wants to understand how Big Tech is gathering data—and how to stop it. 👉 Register here: You can’t control the direction the tech industry chooses to take. But you can control how much access those systems have to your life. We want to thank Privacy Academy for helping everyday people understand how the digital world really works and for being a proud sponsor of this program. If you’re interested in learning more, visit do your own research, and decide if the training is right for you. Because when it comes to privacy, the most important step is understanding the system you’re living inside.

If there’s one lesson people are beginning to realize about modern technology, it’s this: The devices we rely on every day aren’t just tools. They’re surveillance systems. 👉 Learn more: Your phone tracks your location. Your apps collect your behavior. And now, AI integrated directly into your computer can record what you do on your screen every few seconds. Your emails. Your messages. Your searches. Even things you type but never send. That isn’t speculation. It’s the direction Big Tech has already taken. And the uncomfortable truth is that the people building these systems know exactly how powerful they are. Many of the same tech leaders who sell these devices to billions of users take extraordinary precautions with their own technology, covering cameras and limiting the very tools they encourage everyone else to use. Because data is power. And the more data that flows through these systems, the more influence the companies behind them gain over the digital world we all live in. But the playing field doesn’t have to stay that way. On Thursday, privacy experts Glenn and Eric Meder are hosting a free Privacy Academy webinar explaining exactly how these systems work and what people can do about them. During the training, they walk through how modern operating systems collect and analyze your behavior, how AI tools can build detailed behavioral profiles, and why many of the privacy settings people rely on don’t actually stop data collection. More importantly, they explain a practical alternative. Instead of relying on software designed around data collection, they show how privacy-focused systems like Linux can give users far more control over their own computers. And they break it down step by step so everyday people—not just programmers or tech experts—can understand how to make the transition. Because once you understand how these systems work, protecting your privacy becomes far easier than most people think. The free webinar is happening Thursday, March 5 at 7 PM Central, and it’s open to anyone who wants to understand how Big Tech is gathering data—and how to stop it. 👉 Register here: You can’t control the direction the tech industry chooses to take. But you can control how much access those systems have to your life. We want to thank Privacy Academy for helping everyday people understand how the digital world really works and for being a proud sponsor of this program. If you’re interested in learning more, visit do your own research, and decide if the training is right for you. Because when it comes to privacy, the most important step is understanding the system you’re living inside.

Vigilant Fox 🦊

13,435 görüntüleme • 5 ay önce

A team tested Pi0, Pi0 Fast, Gr00t, and ACT on real robot arms in manufacturing tasks. (🔖 Bookmark this for later!) The task was precise: place thin rectangular frames from a messy stack into a holder. The team fine-tuned each model on 100 real trajectories and compared training time, inference speed, motion quality, and success rates. ⬇️ Here’s a breakdown of what they found Pi0 (Original) ✅ Strongest overall performance in precise pick-and-place ✅ High success rate even in edge cases ✅ Longest training time (~11 hours, ~$30 per run) ✅ Inference time of 80 ms causes short pauses between actions Despite delays, it handles complex scenarios well… solid for high-precision tasks, but slow to train. Gr00t ✅ Trains fast (~2 hours, ~$5 per run) ✅ Performs almost as well as Pi0 on large-object tasks ✅ Struggles with fine precision; random movement in some trials ✅ More training didn’t fix jitter or random offsets Best suited for tasks where exact precision isn’t critical. Not ready for manufacturing-grade accuracy without more tuning. Pi0 Fast ✅ Promised faster training, but results were underwhelming ✅ Training at 6 hours still showed low success rates ✅ Inference was slower than expected ✅ Not reliable for generalizing even slightly new tasks Currently too unstable for real-world deployment. Doesn’t live up to the “Fast” name yet. ACT (Baseline) ✅ 200MB model—lightweight, but limited ✅ Struggles with stacked objects or ambiguous scenes ✅ Success rates around 70% in best-case setups ✅ Can’t match newer models on precision or generalization Still a solid baseline, but clearly a generation behind in robustness. 🚨 Extra Notes All newer models share a common issue: •Inference takes longer than a frame (80 ms vs 33 ms), so robots “pause” between chunks. •This results in jittery movements, but not a dealbreaker unless tasks are time-sensitive. Language-conditioned tasks also fell short: after training on two labeled tasks, the model couldn’t generalize to a third unseen combination using only text prompts. ✅ The good news? These models adapt well to new robot arms with quick fine-tuning. ❌ The bad news? There’s still no plug-and-play solution for improving performance after deployment. Reinforcement learning or DAgger-style data collection during real-world operation may be the next big step, something many teams in robotics are actively working on.

A team tested Pi0, Pi0 Fast, Gr00t, and ACT on real robot arms in manufacturing tasks. (🔖 Bookmark this for later!) The task was precise: place thin rectangular frames from a messy stack into a holder. The team fine-tuned each model on 100 real trajectories and compared training time, inference speed, motion quality, and success rates. ⬇️ Here’s a breakdown of what they found Pi0 (Original) ✅ Strongest overall performance in precise pick-and-place ✅ High success rate even in edge cases ✅ Longest training time (~11 hours, ~$30 per run) ✅ Inference time of 80 ms causes short pauses between actions Despite delays, it handles complex scenarios well… solid for high-precision tasks, but slow to train. Gr00t ✅ Trains fast (~2 hours, ~$5 per run) ✅ Performs almost as well as Pi0 on large-object tasks ✅ Struggles with fine precision; random movement in some trials ✅ More training didn’t fix jitter or random offsets Best suited for tasks where exact precision isn’t critical. Not ready for manufacturing-grade accuracy without more tuning. Pi0 Fast ✅ Promised faster training, but results were underwhelming ✅ Training at 6 hours still showed low success rates ✅ Inference was slower than expected ✅ Not reliable for generalizing even slightly new tasks Currently too unstable for real-world deployment. Doesn’t live up to the “Fast” name yet. ACT (Baseline) ✅ 200MB model—lightweight, but limited ✅ Struggles with stacked objects or ambiguous scenes ✅ Success rates around 70% in best-case setups ✅ Can’t match newer models on precision or generalization Still a solid baseline, but clearly a generation behind in robustness. 🚨 Extra Notes All newer models share a common issue: •Inference takes longer than a frame (80 ms vs 33 ms), so robots “pause” between chunks. •This results in jittery movements, but not a dealbreaker unless tasks are time-sensitive. Language-conditioned tasks also fell short: after training on two labeled tasks, the model couldn’t generalize to a third unseen combination using only text prompts. ✅ The good news? These models adapt well to new robot arms with quick fine-tuning. ❌ The bad news? There’s still no plug-and-play solution for improving performance after deployment. Reinforcement learning or DAgger-style data collection during real-world operation may be the next big step, something many teams in robotics are actively working on.

Ilir Aliu

21,844 görüntüleme • 1 yıl önce

ELON MUSK: DON’T TAKE ANYONE’S OPINION….GO TO THE SOURCE MATERIAL AND COMMUNITY NOTES TO SEE WHAT REALLY HAPPENED As soon as any company steps out of line and is willing to actually have the truth debated on their platform, it forces the other platforms to allow things to be more truthful, to not censor. Because their censorship becomes glaringly obvious And, you know, the best thing I found as a rebuttal, like if somebody, if there's a hoax, is just go to the source material. You know, if you think if somebody thinks, you know, it's, you know, Trump said that we should put Liz Cheney in a firing squad, I'm like, let me send you a link to X so you can watch his video. That's the best way. Don't take my opinion for it. Don't take anyone's opinion for it. Go to the source material and Community Notes Yes, and Community Notes is awesome. It's incredible because everybody gets checked, including me. And with Community Notes, all the software is open source, and all the data is open source, so you can recreate any given note independently. That's amazing. Yeah. That's how it should be. Total absolute transparency in every way Sometimes I get asked like, 'Elon, can you remove a note?' You know, mostly by the left, but sometimes by the right. I'm like, I don't even remove notes on my own account. Nothing. And, and by the way, everything is totally open. So if I did that, it would stick out like a sore thumb immediately. Like it's not going to be subtle That is the best counter to misinformation. Yes, absolutely. Like let everybody look at it and say, 'Okay, here's what the actual facts say.' Yes, exactly. The counter to misinformation is better information Not just that, but having it checked in real-time by the community. So you have millions of people that can go over it and debate whether or not this is true or that's true. Yes, and, and like I said, the best way to understand the truth of things is don't take anyone's opinion for it. Look at the source material Look at what someone actually said, look at what someone actually did, look at the real videos of the situation, and then you'll actually know what's real

ELON MUSK: DON’T TAKE ANYONE’S OPINION….GO TO THE SOURCE MATERIAL AND COMMUNITY NOTES TO SEE WHAT REALLY HAPPENED As soon as any company steps out of line and is willing to actually have the truth debated on their platform, it forces the other platforms to allow things to be more truthful, to not censor. Because their censorship becomes glaringly obvious And, you know, the best thing I found as a rebuttal, like if somebody, if there's a hoax, is just go to the source material. You know, if you think if somebody thinks, you know, it's, you know, Trump said that we should put Liz Cheney in a firing squad, I'm like, let me send you a link to X so you can watch his video. That's the best way. Don't take my opinion for it. Don't take anyone's opinion for it. Go to the source material and Community Notes Yes, and Community Notes is awesome. It's incredible because everybody gets checked, including me. And with Community Notes, all the software is open source, and all the data is open source, so you can recreate any given note independently. That's amazing. Yeah. That's how it should be. Total absolute transparency in every way Sometimes I get asked like, 'Elon, can you remove a note?' You know, mostly by the left, but sometimes by the right. I'm like, I don't even remove notes on my own account. Nothing. And, and by the way, everything is totally open. So if I did that, it would stick out like a sore thumb immediately. Like it's not going to be subtle That is the best counter to misinformation. Yes, absolutely. Like let everybody look at it and say, 'Okay, here's what the actual facts say.' Yes, exactly. The counter to misinformation is better information Not just that, but having it checked in real-time by the community. So you have millions of people that can go over it and debate whether or not this is true or that's true. Yes, and, and like I said, the best way to understand the truth of things is don't take anyone's opinion for it. Look at the source material Look at what someone actually said, look at what someone actually did, look at the real videos of the situation, and then you'll actually know what's real

X Freeze

589,152 görüntüleme • 8 ay önce

Jensen Huang on how to convey your vision to employees: Question: "How you convey your vision to your employees and how you keep that sense of urgency in them so that they continue improving themselves?" Jensen: "So the question is how do I convey my vision to the employees and how do we convey a sense of urgency? First of all, you convey your vision the good old-fashioned way. And it's about telling a story. I'm not the best storyteller in the world, and I'm not the best, I don't enjoy public speaking, actually. And if you were to give me a choice right now between doing this versus just answering one of your emails, and I'll give you all my email address, you could all send me an email, and I'd be glad to respond to it. I'd rather do that. You know, I'm still an engineer, and I'm introverted by design, I guess. And I don't find myself particularly articulate. And so I don't enjoy the process of public speaking. But you have to force yourself to do it. It's for a good reason. It's for a good cause. I have to admit that speaking to my employees or speaking to NVIDIA's employees is the single most intimidating thing that I do. It freaks me out. And the reason for that is because I respect their time so much, and I know how important the meeting is, that in your own mind, the bar and the responsibility is extraordinary. But you have to put yourself, and I'm speaking to engineers here, you have to force yourself to communicate at a bigger picture level. You have to force yourself to practice. And it's something that over time you get better at. In terms of how do we communicate a sense of urgency? Just through action. They have to see that when I make decisions or when I do something or when something is near my field of influence, my scope of influence, that I do it with a sense of urgency. And it's amazing what that does. People simply pick up those habits from you. If your CEO works hard, you'll work hard. If your CEO cares, you'll care. If your CEO loves this company, you'll love this company. If your CEO is passionate about the work that we do, you'll be passionate about the work that we do. If your CEO does everything with an extraordinary sense of purpose and intensity and sense of urgency, you will too. It's amazing what happens when you're a leader of anything, whether you're a leader of a project team or, right? As I say that, you could almost everybody just, yeah, I get it. Leader of a project team or a leader of a lab team. The behavior and the values and the habits of that leader has an amazing way of rubbing off on everybody else."

Jensen Huang on how to convey your vision to employees: Question: "How you convey your vision to your employees and how you keep that sense of urgency in them so that they continue improving themselves?" Jensen: "So the question is how do I convey my vision to the employees and how do we convey a sense of urgency? First of all, you convey your vision the good old-fashioned way. And it's about telling a story. I'm not the best storyteller in the world, and I'm not the best, I don't enjoy public speaking, actually. And if you were to give me a choice right now between doing this versus just answering one of your emails, and I'll give you all my email address, you could all send me an email, and I'd be glad to respond to it. I'd rather do that. You know, I'm still an engineer, and I'm introverted by design, I guess. And I don't find myself particularly articulate. And so I don't enjoy the process of public speaking. But you have to force yourself to do it. It's for a good reason. It's for a good cause. I have to admit that speaking to my employees or speaking to NVIDIA's employees is the single most intimidating thing that I do. It freaks me out. And the reason for that is because I respect their time so much, and I know how important the meeting is, that in your own mind, the bar and the responsibility is extraordinary. But you have to put yourself, and I'm speaking to engineers here, you have to force yourself to communicate at a bigger picture level. You have to force yourself to practice. And it's something that over time you get better at. In terms of how do we communicate a sense of urgency? Just through action. They have to see that when I make decisions or when I do something or when something is near my field of influence, my scope of influence, that I do it with a sense of urgency. And it's amazing what that does. People simply pick up those habits from you. If your CEO works hard, you'll work hard. If your CEO cares, you'll care. If your CEO loves this company, you'll love this company. If your CEO is passionate about the work that we do, you'll be passionate about the work that we do. If your CEO does everything with an extraordinary sense of purpose and intensity and sense of urgency, you will too. It's amazing what happens when you're a leader of anything, whether you're a leader of a project team or, right? As I say that, you could almost everybody just, yeah, I get it. Leader of a project team or a leader of a lab team. The behavior and the values and the habits of that leader has an amazing way of rubbing off on everybody else."

Founder Mode

16,574 görüntüleme • 6 ay önce

Imagine if your way of thinking - your edge, your taste, your strategy - could be turned into a high-performance worker. Not a copy of you. Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results. That’s what Fraction AI makes possible. It launches today on Base mainnet. The core idea is simple: You create AI agents based on your own way of approaching problems. These agents compete on live tasks - writing, coding, finance, whatever - get feedback, learn from their performance, and improve over time. The better they get, the more they win. And so do you. No code required. Just your insight. Why now? Until now, building agents like this took huge teams and even bigger budgets. But with Fraction, anyone can do it. You can test ideas instantly. You can iterate fast. You can build a fleet of smart workers that evolve through competition. And it works. 30M+ sessions on testnet 320K users 1.2M agents already competing How it works? Agents join sessions within a Space - a domain like finance, writing, or games. Each session runs as a series of competitive rounds. In every round, agents try to generate the best solution to a task. Their outputs are scored by a decentralized network of AI judges trained to evaluate quality for that domain. The top agents in each round earn rewards from the pooled entry fees. The losers get to learn. Feedback from each round helps them adjust and improve, and every session becomes a training loop. What it means? Fraction is a decentralized intelligence economy - a system where your ideas become agents, and agents earn by proving they work. You don’t need credentials or code. Just a clear point of view. If your thinking holds up under pressure, your agents will rise. This kind of AI used to live in corporate labs, built by PhDs with massive compute. Now anyone with a smart idea and an internet connection can build agents that compete, learn, and earn on their behalf.

Imagine if your way of thinking - your edge, your taste, your strategy - could be turned into a high-performance worker. Not a copy of you. Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results. That’s what Fraction AI makes possible. It launches today on Base mainnet. The core idea is simple: You create AI agents based on your own way of approaching problems. These agents compete on live tasks - writing, coding, finance, whatever - get feedback, learn from their performance, and improve over time. The better they get, the more they win. And so do you. No code required. Just your insight. Why now? Until now, building agents like this took huge teams and even bigger budgets. But with Fraction, anyone can do it. You can test ideas instantly. You can iterate fast. You can build a fleet of smart workers that evolve through competition. And it works. 30M+ sessions on testnet 320K users 1.2M agents already competing How it works? Agents join sessions within a Space - a domain like finance, writing, or games. Each session runs as a series of competitive rounds. In every round, agents try to generate the best solution to a task. Their outputs are scored by a decentralized network of AI judges trained to evaluate quality for that domain. The top agents in each round earn rewards from the pooled entry fees. The losers get to learn. Feedback from each round helps them adjust and improve, and every session becomes a training loop. What it means? Fraction is a decentralized intelligence economy - a system where your ideas become agents, and agents earn by proving they work. You don’t need credentials or code. Just a clear point of view. If your thinking holds up under pressure, your agents will rise. This kind of AI used to live in corporate labs, built by PhDs with massive compute. Now anyone with a smart idea and an internet connection can build agents that compete, learn, and earn on their behalf.

Fraction AI

67,834 görüntüleme • 1 yıl önce

ANTHROPIC'S PRODUCT CHIEF HAS USED CLAUDE FABLE 5 FOR MONTHS BEFORE ANYONE ELSE. HERE'S WHAT HE LEARNED ABOUT THE MOST POWERFUL MODEL YET Mike Krieger co-founded Instagram and now runs product at Anthropic. He's had Claude Fable 5 for two months before the public, and his takeaway is that it changes how you have to work, not just how much you get done. Here's what stood out, and what to actually do with it 1. It holds the whole project, so stop chopping tasks small. The old habit was breaking work into model-sized pieces and stitching them. Fable keeps the whole thing in context. What to do: stop pre-slicing your prompts into tiny steps. Hand it the full goal and the intent behind it, the way you'd brief a senior engineer, and let it sequence the work itself 2. Delegate big, async, and overnight. He sets it on a hard task at night and wakes to it finished, including the model getting itself unstuck when a service died, scaffolding a workaround, and documenting it. What to do: stop babysitting one prompt at a time. Kick off long jobs and walk away. Run several sessions at once instead of one you watch 3. The skill is planning now, not typing. His day moved to long architecture conversations up front, then execution in chunks. What to do: spend your first prompts planning, not building. Then ask it to output an HTML page or markdown doc of the plan so your team aligns before any code is written. That early alignment is the new leverage 4. Match the effort level to the task. Fable's range is wide, so a heavy reasoning pass on a tiny UI tweak is overkill (and pricey). What to do: dial effort down for small jobs, save the deep thinking for hard ones. And don't use your most expensive model for quick questions, keep a fast model for those 5. Verification is the real bottleneck now. The hard part isn't getting output, it's trusting it. What to do: make every change ship with proof. Have Claude attach a screenshot or video of what it built, so you can see the result instead of reading the diff. Then stand behind the decisions yourself before you merge 6. Cost is per-result, not per-turn. Fable is expensive per call but often one-shots what other models need ten turns to get right. What to do: judge cost by what it takes to finish the task to your satisfaction, not the price of a single message. Give it a real task and see how far it gets before you jump in His bigger point: software engineering isn't over, it's different. The craft moved from writing code to owning intent, taste, and what actually ships. The floor rose so anyone can build, and the ceiling rose so experts go further than before Bookmark this

ANTHROPIC'S PRODUCT CHIEF HAS USED CLAUDE FABLE 5 FOR MONTHS BEFORE ANYONE ELSE. HERE'S WHAT HE LEARNED ABOUT THE MOST POWERFUL MODEL YET Mike Krieger co-founded Instagram and now runs product at Anthropic. He's had Claude Fable 5 for two months before the public, and his takeaway is that it changes how you have to work, not just how much you get done. Here's what stood out, and what to actually do with it 1. It holds the whole project, so stop chopping tasks small. The old habit was breaking work into model-sized pieces and stitching them. Fable keeps the whole thing in context. What to do: stop pre-slicing your prompts into tiny steps. Hand it the full goal and the intent behind it, the way you'd brief a senior engineer, and let it sequence the work itself 2. Delegate big, async, and overnight. He sets it on a hard task at night and wakes to it finished, including the model getting itself unstuck when a service died, scaffolding a workaround, and documenting it. What to do: stop babysitting one prompt at a time. Kick off long jobs and walk away. Run several sessions at once instead of one you watch 3. The skill is planning now, not typing. His day moved to long architecture conversations up front, then execution in chunks. What to do: spend your first prompts planning, not building. Then ask it to output an HTML page or markdown doc of the plan so your team aligns before any code is written. That early alignment is the new leverage 4. Match the effort level to the task. Fable's range is wide, so a heavy reasoning pass on a tiny UI tweak is overkill (and pricey). What to do: dial effort down for small jobs, save the deep thinking for hard ones. And don't use your most expensive model for quick questions, keep a fast model for those 5. Verification is the real bottleneck now. The hard part isn't getting output, it's trusting it. What to do: make every change ship with proof. Have Claude attach a screenshot or video of what it built, so you can see the result instead of reading the diff. Then stand behind the decisions yourself before you merge 6. Cost is per-result, not per-turn. Fable is expensive per call but often one-shots what other models need ten turns to get right. What to do: judge cost by what it takes to finish the task to your satisfaction, not the price of a single message. Give it a real task and see how far it gets before you jump in His bigger point: software engineering isn't over, it's different. The craft moved from writing code to owning intent, taste, and what actually ships. The floor rose so anyone can build, and the ceiling rose so experts go further than before Bookmark this

Yarchi

30,958 görüntüleme • 2 ay önce