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Xilonen X Hilichurl Animation (My contribution to this project) Models by DaB Xilonen VA: ZeroDiamonds SFX Pack: OpenNSFW & TigerCat🐯-C0mm open 3/10-🎨 Thank you for watching! #rule34 #genshinimpact #genshinimpactnsfw #genshinimpactr34 #nsfw

112,961 просмотров • 10 месяцев назад •via X (Twitter)

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ChibuProduction3D EN/LATAM (Comms Open)

15,048 просмотров • 8 месяцев назад

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Taehyung Naver

19,579 просмотров • 5 месяцев назад

People today walk around with the stiffest hips, and the implications are disastrous. You set yourself up for chronic pain and bad posture for the rest of your life. Take control now before it's too late. These 10 stretches will free your hips from their misery: The best time to do these stretches is before bed, as you unload all the tension accumulated throughout the day and achieve a deeper sleep. 1 - Half Frog Stretch (0:06) 3 x 30-60s/side This one is excellent for your inner thighs and hip flexors. You also stretch your abdominals. 2 - Seated Crossed Leg Reach Forward Stretch (0:14) 3 x 30-60s This stretch also hits the lats that sit right above your hips. Some of you may be unable to reach forward with your legs crossed. The first milestone is to touch the floor with your hands and then slide them forward. 3 - Seated Pigeon Stretch (0:23) 3 x 30-60s/leg Today, one of my clients felt a massive pull just by crossing his leg and pushing down. Forget leaning forward! The goal is to bring your chest down to your leg while keeping your back straight. Push your hips back toward the wall behind you to lower your torso. 4 - Seated Glute Strech (0:32) 3 x 30-60s/leg The difference between this stretch and the Seated Pigeon is that you curl your upper back to lower your head to your leg. 5 - Lying Glute Stretch (0:43) 3 x 30-60s/leg Lying on your back with one leg crossed. Pull the other leg toward your chest and hold. 6 - Pigeon Stretch (0:52) 3 x 30-60s/leg This stretch never fails to open my clients' hips, though many will feel enough of a pull by simply crossing one leg. The goal is to reach forward and lower your torso parallel to the floor. 7 - Glute Bridge with External Rotation (1:00) 3 x 10-12/leg This one is great because you strengthen one leg and stretch the other. Due to a lack of strength or mobility, you might have to rotate with a bent leg before moving onto a straightened one. 8 - Frog Stretch (1:05) 3 x 30-60s The frog stretch is amazing for your inner thigh muscles. Start kneeling with your elbows on the floor and your feet pointing outward. Slide backward and hold. 9 - Crossed-Leg Glute Bridge (1:14) 3 x 30-60s/leg Here is another Glute Bridge variation where you strengthen one leg and stretch the other. You feel the hip opening up at the top, so hold it there and rotate your knee away from your body to increase the pull. 10 - V Stretch (1:23) 3 x 30-60s You can do this stretch with your legs up in the air or against a wall. // Start taking care of your hips now before they turn into stone. Reversing the stiffness becomes much more painful and takes much longer if you let it fester over the years. You'll feel much more relaxed and move smoother once you eliminate all the excess pressure.

Alex Bernier

412,739 просмотров • 2 лет назад

Here's my conversation all about FFmpeg, the legendary open-source software powering most video on the Internet. In the episode, I talk with Jean-Baptiste Kempf and Kieran Kunhya. JB is lead developer of VLC and Kieran is FFmpeg contributor, codec engineer, and the person behind the now-infamous FFmpeg account on X. VLC (VideoLAN), by the way, is also a legendary piece of open-source software: it's a video player that can open basically anything & has been downloaded over 6 billion times. I think both FFmpeg and VLC are two of the most important and impactful software systems ever created, both open source, and both created & maintained by volunteers: brilliant engineers from all walks of life. Thank you to everyone who contributed to FFmpeg and VLC, and in general to all engineers giving their heart & soul to building systems used by millions (or billions) of people, and often doing so not for money, status, or fame, but purely for the love of building great software and doing good for the world. Thank you to the builders! 🙏❤️ Shoutouts in this chat to John Carmack Andrej Karpathy Elon Musk Tim Sweeney and everyone who is a contributor & fan of open source! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 2:17 - Introduction 5:35 - Weirdest things VLC opens 9:59 - How video playback works 19:20 - Video codecs and containers 30:07 - FFmpeg explained 51:07 - Linus Torvalds 55:46 - Turning down millions to keep VLC ad-free 1:10:04 - FFmpeg & Google drama 1:29:18 - FFmpeg developers 1:35:55 - VLC and FFmpeg 1:40:29 - History of FFmpeg 1:43:46 - Reverse engineering codecs 1:57:01 - FFmpeg testing 2:01:08 - Assembly code (handwritten) 2:25:26 - Rust programming language 2:34:42 - FFmpeg and Libav fork 2:43:04 - Open source burnout 2:50:51 - x264 and internet video 3:04:07 - Video compression basics 3:11:04 - CIA and fake VLC 3:21:39 - Ultra low latency streaming 3:39:07 - AV2 codec and video patents 3:48:59 - VLC backdoors 3:59:14 - Video archiving 4:05:51 - Future of FFmpeg and VLC

Lex Fridman

501,034 просмотров • 2 месяцев назад

I am stocked to announce that I won the OpenAI Developers Codex x Mollie Hacka Worldwide Hackathon in Paris. 60+ builders, every one of us working solo, one day to ship. I built mine around a single question: who gets to own intelligence? The default answer is scary. You hand your data to a handful of labs, they train the model, they own it, and you rent back a thin slice of what your own data made possible. That is the bargain on the table today. I do not accept it. So I built Lensemble: a Tapestry like distributed training platform for JEPA based World Models. What does it enable: World Models that a community improves together, keeps sovereign, and co-owns. Two bets sit underneath it. First, the paradigm. Language models predict the next token. Powerful for text, a dead end for the physical world. A robot does not need to autocomplete sentences, it needs to predict what happens next in the world. That is what JEPA does: it learns by predicting representations instead of pixels or tokens. I am convinced world models are the most underrated paradigm in AI right now, and the closest thing we have to a ChatGPT moment for robotics. Second, the politics. Your raw trajectories never leave your machine. Each participant trains locally against a shared protocol and ships only an update, never the data. A federated round folds those updates into one shared world model, a LeWorldModel based model, and the gain is measured, not claimed: a 12k-parameter adapter on a frozen backbone, held-out prediction error down about 12 percent, the model measurably less surprised by the world. Then the upside is split by contribution weight, so the people who improved the model own a share of what it earns. This is the thesis behind Project Tapestry, the AI Alliance and Yann LeCun's push for federated, sovereign frontier AI, carried into world models and robotics. Call it Tapestry for the physical world. All of it built solo, in a single day, with Codex as my pair the whole way. Thank you to OpenAI Codex and Mollie for backing builders who ship real things, and to Boris and the organizing crew for the room and the standard you set. Intelligence the world improves, and the world owns. That is the future I want for my kids, and the one I will keep building.

abdel

17,221 просмотров • 24 дней назад

how to set up hermes agent step by step. built-in memory, 40+ tools, works on your phone, and what to think of hermes vs openclaw: 1. hermes is a personal AI agent that runs in your terminal. think of it like open claw but with built-in memory, 40+ tools out of the box, and 90% cheaper token costs. you install it with one command. 2. the 3 problems with open claw that hermes solves: no memory (you keep repeating yourself), constant gateway restarts, and zero visibility into what you're spending on tokens. 3. hermes remembers everything. every completed task gets saved to memory. it searches through past logs to find solutions. over time it literally gets smarter at your specific workflows. 4. connect it to open router. you see exact costs per model per task. free models rotate weekly. one founder went from $130 every five days on open claw to $10 on hermes. same output. 5. it comes preloaded with skills. apple notes, imessage, find my, browser, web search, image generation, cron jobs. no hunting for plugins. 6. connect it to obsidian so it reads your entire vault. connect it to gstack for your dev environment. create custom skills for your specific workflows. 7. the biggest money saver: have it write code once for recurring tasks. then it runs without burning tokens every time. stop paying an LLM to do the same scrape or report daily. 8. run it on android via telegram. name your agents. talk to them like coworkers. in this episode imran shows you how to set this up. 9. you can run it bare metal, in docker, or serverless on modal. pick your risk level. i begged imran to come on The Startup Ideas Podcast (SIP) 🧃 and walk through the full installation live. he made it impossibly clear. if you've heard of Hermes Agent and want the clearest explanation of how to get set up like a pro let me know what you want me to cover on the next ep this is the best personal agent setup video on the internet right now. watch

GREG ISENBERG

615,289 просмотров • 2 месяцев назад

In Set 9, I was Top 10 in BoxBox Bootcamp. There were 36 minutes until elimination, and I only needed 5 LP (a 4th) to make it to the cutoff. By a stroke of luck, a queue pops with 33 minutes left on the clock. A TFT game is typically 35 minutes, which meant I would have to surrender to end the game prematurely to get the 4th rather than playing it out I played out of my mind and did not say a single word for 32 minutes straight, and I found myself fighting for a Top 4 with 5 HP left. The guy in 5th had 3 HP, so in this last round, I just needed him to die with less units killed. I hit a necessary 5-cost Aatrox on my LAST BIT OF GOLD and my board spikes. The best case scenario happens, I get a <2 unit loss, my opponent takes a 4 unit loss. I see my chat in my peripheral vision going crazy because I realized I was gonna make the cutoff with less than a minute left. With adrenaline pumping and "I have to forfeit ASAP" in my head, I type /ff... But... because I didn't wait for the death animation to finish, I surrender before the next round comes. When you surrender in TFT, your health goes straight to -99. When I saw the results screen, I froze. My limbs were cold from the nerves, but I didn't even feel it. I looked at my screen in despair, as I had just witnessed the end of my bootcamp run. The clip below is from my only TFT upload on my channel. In Set 14, I got #2 in the Bootcamp and lost by 1 game's worth of LP. #1 grinded more, wanted it more, and improved like a beast. I could only respect such a gallant victory. (shoutout niamocha) Thank you BoxBox for giving me these chances to compete. I will change my fate this set.

Kariyu

147,847 просмотров • 7 месяцев назад

✨ I made a 100% AI video of a single night in 🇩🇪 Berlin's underground techno scene Doing an AI shoot is very much like a real life shoot, you have to prepare locations, settings, outfits and models, you can do the same: 1) First I generated photos with the [ 🇩🇪 Berlin nightlife ] photo pack on they're all non-existing AI people except me and my gf 2) Then I put the pics I liked in Kling AI to make them into 10 second videos (with Professional Mode), soon I'll have API access and it'll be one-click inside Photo AI to turn a photo into a 10-sec video, it then takes about 5 minutes to make a video. It's not always great, especially dancing is hard to get right! 3) Then I wanted to have a German narrator talking about Berlin's techno nights in a poetic way like a documentary, so I asked ChatGPT 4o: "write in the style of a cult German novelist about the Berlin techno scene" I then copied that text into Eleven Labs and selected a German AI voice 4) I then collected all the videos, the music and the audio narrator and edited them together in Final Cut Pro adding music from HÖR and adding audio effects 5) Then I added English captions with CapCut Time to make it: 3 hours for 1 minute of video I hope you like it! My dream is to have this entire pipeline in Photo AI at some point. Connecting to Kling AI's video API is the first step to that. Imagine just writing a prompt and you end up with a video like this without all the work Credits: Music: Asquith - Let Me (Rave Mix) [ASQ004] Barbax - Si Vis Pacem Para Bellum (Original Mix) Mixed by Ellen Allien @ HÖR Video: 100% AI characters and video by Photo AI Edited by me Narrator voice: 100% written by ChatGPT 4o 100% narrated by Eleven Labs AI voice

@levelsio

675,626 просмотров • 1 год назад

Sora 2 has the capabilities to make an entire anime episode with time and effort. This is a turning point for generative AI models and it is terrifying to think what is next to come. The difference between Sora and Sora 2 is absolutely staggering. Yes, this looks cool. I put the time into it to make it as close to art as possible. This was not simple to make and not just prompting and throwing it in some editor. Every frame is generated of another scene and even the reference image for characters I used to start this project were AI generated. This was all created with 10 second clips pulled apart and chunked out into the final product. Regardless of the imagery you see, I did not directly use any artist's art for this video. This 10-minute video was generated over the course of a week from more than 700 text prompts. It was built on technology trained by scraping the uncredited, uncompensated contributions of countless human artists and animators. The creation of this single video consumed an enormous amount of energy and water, equivalent to powering a home for days and requiring hundreds of liters of fresh water for cooling. But that is nothing. In the 10 minutes you spend watching this, the global network of AI video generators will create over 6,250 more short videos. The combined energy required for that 10 minutes of global creation is enough to power an average household for nearly 2 years. - It's a double-edged sword. While AI uses immense amount of energy has clear immoral issues with scalping the hard work of artists, this also provides those a medium who have potentially spent their life attempting to draw out the ideas in their head and failing to grasp it. My sister is an artist, I grew up always attempting to draw but never could get the image in my head on paper, I've spent the better part of over 20 years to teach myself through watching videos and practice, however I don't have steady hands and frankly have just been unable to make any vision come to life. Which brings me to the conflict here. This would have been a dream of mine to be able to get frames created and flesh out the story in my head. To make this video professionally, it would be an absurd amount of money. A small studio by itself would be over a million dollars just to start up. To hire a studio would be most likely over ~200k. I would love to make this story I have in my head through legit and traditional means, I would love to start a Kickstarter to get funding and hire artists, voice actors, and a production team. However I know that would most likely be an impossible reach that would further fuel the hate. Regardless, I understand the worry this causes. The fear this produces. However, we can't just ignore where AI is currently at and just tell people not to use it or even worse threaten people who use it. People will always use the shiny new toy in front of them, so the real question is how do we either make it work for us and work along side it, or how do we ACTUALLY implement a method to protect art rather than tell people to not use it. Respect your artists. Review their ToS and don't upload their hard work to a model without permission.

LUͦʷCͦk

18,417 просмотров • 9 месяцев назад