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The first scratch might sting… but after that? It’s all fun. Your DD was built for hard use in real-world conditions. Every mark means you’re training, learning, and getting better. Don’t be a Kevin. DDM4 V7 SLW setup and video from Tessah Booth

Daniel Defense

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23,278 просмотров • 11 месяцев назад •via X (Twitter)

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“Lone Wolf” Training Only Gets You So Far You might be working hard this summer Nobody’s questioning that. But when you’re always training alone, You’re missing one of the most powerful forces in development: Competition. No teammates to chase. No one pushing the pace. No one showing you where you really stack up. There’s a reason college and NFL programs invest millions into bringing guys together in the summer: Not just for structure, but for the fire that comes from training as a team. If your school has a summer strength program, be there. Challenge your teammates. Elevate together. That’s how real programs are built. But if you don’t have that? Comment “TGW” and I’ll send you the link to Team Gridiron Warrior: My monthly training system built to get you faster, stronger, and more prepared than the guy across from you this fall.

“Lone Wolf” Training Only Gets You So Far You might be working hard this summer Nobody’s questioning that. But when you’re always training alone, You’re missing one of the most powerful forces in development: Competition. No teammates to chase. No one pushing the pace. No one showing you where you really stack up. There’s a reason college and NFL programs invest millions into bringing guys together in the summer: Not just for structure, but for the fire that comes from training as a team. If your school has a summer strength program, be there. Challenge your teammates. Elevate together. That’s how real programs are built. But if you don’t have that? Comment “TGW” and I’ll send you the link to Team Gridiron Warrior: My monthly training system built to get you faster, stronger, and more prepared than the guy across from you this fall.

Scott Leech

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It’s getting so old seeing all these people post videos of the crowds at Disney World over Christmas. You knew it was going to be crowded, so don’t complain. We leave tomorrow to drive down for 6 nights and know it’s going to be nuts. But you can still have fun.

It’s getting so old seeing all these people post videos of the crowds at Disney World over Christmas. You knew it was going to be crowded, so don’t complain. We leave tomorrow to drive down for 6 nights and know it’s going to be nuts. But you can still have fun.

Nick Chappell

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Built a fully native, SwiftUI app for tracking our son’s naps and distributed it via TestFlight to my wife, over a few hours all from my phone(!!!) using Bitrig. It’s obviously not the best app in the world, but it’s fun and uses some iOS 26 APIs + modern components:

Built a fully native, SwiftUI app for tracking our son’s naps and distributed it via TestFlight to my wife, over a few hours all from my phone(!!!) using Bitrig. It’s obviously not the best app in the world, but it’s fun and uses some iOS 26 APIs + modern components:

Jordan Borth

18,718 просмотров • 10 месяцев назад

Some people are upset that I said “Raising kanan” in the final season Is just as great as the others Is imo better than “the wire” It’s my opinion we don’t have to agree But romanticism plagues people The wire was great but it did have flaws 50 would never mess a scene up On raising kanan With bad song placement that does not even match the setting of the scene.. And also the actors in the car are terrible And they don’t even have lines lol Yes it was amazing and it’s legendary But I will not allow your romanticism with the past make you believe that the show from your childhood was flawless It was not!! It’s okay for new albums to be better than Illmatic It’s okay for new crime series to be better the wire It’s okay for a new teacher to take it to a level Malcolm X never got too It’s okay!

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MASTER STUDENT🤲🏾

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Fuel shortage? What fuel shortage? Coorong Quays marina has had its tank filled yesterday no problem. This fuel is used solely for recreational use. That means for fun, not food or emergency, for fun. If you’re one of the 46 service stations that has run out of fuel in SA, you might want to get onto your local member with this video and say “Excuse me, but wtf?”

Fuel shortage? What fuel shortage? Coorong Quays marina has had its tank filled yesterday no problem. This fuel is used solely for recreational use. That means for fun, not food or emergency, for fun. If you’re one of the 46 service stations that has run out of fuel in SA, you might want to get onto your local member with this video and say “Excuse me, but wtf?”

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🎭 AI actress looks exactly like a real girl. Coincidence? 20-year-old musician Stella Hennen from Nashville claims that the world’s first AI-generated actress — Tilly Norwood— looks exactly like her. Her reaction video went viral, with commenters joking that it feels like a new episode of Black Mirror. The company Xicoia, which created Tilly, insists the character was built “from scratch” and that no images of Stella were used. But the girl is now consulting with lawyers. What scares Stella most isn’t just the resemblance — it’s the fact that AI doubles are already getting real roles and contracts.

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I was skeptical at first but I bought new AirPods from a booster in Ross and was so excited to spend that lil $40. Checked the serial number and all. Why it’s a week later and these mfs be playing music randomly with the AirPods still in em and the case closed?

I was skeptical at first but I bought new AirPods from a booster in Ross and was so excited to spend that lil $40. Checked the serial number and all. Why it’s a week later and these mfs be playing music randomly with the AirPods still in em and the case closed?

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What if your video pipeline worked like your codebase? Introducing Replit Animation. Replit ⠕ #replitanimation From a single prompt, you can generate animated videos directly in Replit. It writes TypeScript with modern libraries to build scenes, apply styling, and export straight to mp4. Because it is built on code, you can import your real components, brand tokens, and design systems. That means consistent styling, reusable assets, and total control. Video as code means you can tweak, version, and scale your videos just like software. Create repeatable workflows for product updates, feature drops, and marketing campaigns without starting from scratch every time. Here is an example of a video I generated inside Replit. Export at your chosen resolution and frame rate or host with a unique URL. Activate video mode by typing video in your first prompt or selecting Animation under App mode. Create your first one:

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The digital world isn’t slowing down. It’s louder, faster, and more demanding than ever. 📱 Ping after ping. Scroll after scroll. But all that noise comes at a cost— 🧠 Your focus 💤 Your sleep 💬 Your ability to just be present Restify is here to help you hit pause. To reclaim your time, protect your mind, and get rewarded for switching off. In a world built to keep you glued to your screen, choosing presence is a power move. Join the movement: VeChain

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Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

Robora

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FSD 14.3.3 is another reminder that Tesla owners are basically beta-testing the future in public. The latest update now tracks intervention-free driving distance and your longest no-takeover streak directly inside the app. People can literally watch the AI getting better over time through real-world driving stats. Every time a driver intervenes? Tesla now asks why, feeding more training data back into the system. The car is learning from millions of humans simultaneously. Tesla

FSD 14.3.3 is another reminder that Tesla owners are basically beta-testing the future in public. The latest update now tracks intervention-free driving distance and your longest no-takeover streak directly inside the app. People can literally watch the AI getting better over time through real-world driving stats. Every time a driver intervenes? Tesla now asks why, feeding more training data back into the system. The car is learning from millions of humans simultaneously. Tesla

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I make $20–$30 every day I used to constantly lose money on bets Later, there was a lot of hype surrounding LP rewards, and I started doing that too PolyScalping helps you find convenient markets for LP farming Every day, I earn between $10 and as much as $50 in just 2–3 hours The only real danger is that your order might be filled, but the main thing is to find favorable market conditions

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Said

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If you’re not willing to work weekends, late nights, and sacrifice your free time for a few years.. Then don’t be surprised when you’re in the same place five years from now. Everyone wants the results, but nobody wants to put in the work when it’s inconvenient. You can’t have both comfort and success at the same time.

If you’re not willing to work weekends, late nights, and sacrifice your free time for a few years.. Then don’t be surprised when you’re in the same place five years from now. Everyone wants the results, but nobody wants to put in the work when it’s inconvenient. You can’t have both comfort and success at the same time.

JWaller7

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In a world of crazy sport schedules, specialization and constant skill work, often times BASIC physical development is left to the wayside. When working with MS and HS kids, I do my best to work in things that don’t “look like s&c training” on purpose. It’s generally in our warm ups and on top of gaining mobility and working on skills, it’s fun. Yes lifting is important and vital. But so is basic level floor work and “gymnastics” work. Learning to fall, roll, cartwheels, move on the ground not only aid in mobility + reducing injuries but build a SOLID base of movement literacy. The younger we do these things and more often we do them the better. Remember… getting stronger is easier than getting more athletic.

In a world of crazy sport schedules, specialization and constant skill work, often times BASIC physical development is left to the wayside. When working with MS and HS kids, I do my best to work in things that don’t “look like s&c training” on purpose. It’s generally in our warm ups and on top of gaining mobility and working on skills, it’s fun. Yes lifting is important and vital. But so is basic level floor work and “gymnastics” work. Learning to fall, roll, cartwheels, move on the ground not only aid in mobility + reducing injuries but build a SOLID base of movement literacy. The younger we do these things and more often we do them the better. Remember… getting stronger is easier than getting more athletic.

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Memo is a robot that uses AI to perform household tasks effectively. Today Sunday announced its Series B, and we’re proud to be investors. Training robots for the home is hard — the environment is messy, dynamic, and full of edge cases. So Sunday is training robots directly on real households. Founders Tony Zhao and Cheng Chi built a glove-based system that lets hundreds of contributors record everyday tasks in their own homes, creating high-fidelity demonstrations that feed directly into robot learning. Home robotics will be defined by the companies that learn fastest from real homes. Sunday is building that loop. More here: Aaref Hilaly Amanda Huang

Memo is a robot that uses AI to perform household tasks effectively. Today Sunday announced its Series B, and we’re proud to be investors. Training robots for the home is hard — the environment is messy, dynamic, and full of edge cases. So Sunday is training robots directly on real households. Founders Tony Zhao and Cheng Chi built a glove-based system that lets hundreds of contributors record everyday tasks in their own homes, creating high-fidelity demonstrations that feed directly into robot learning. Home robotics will be defined by the companies that learn fastest from real homes. Sunday is building that loop. More here: Aaref Hilaly Amanda Huang

Bain Capital Ventures

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