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-How episode 8 should of ended- - (low effort shitpost animation) ------ #MurderDrones #SerialDesignationN #SerialDesignationV #serialdesignationJ #mdtwt #Glitchproductions #SFM #TessaCyn

🔥🌋BlazeAmation🌋🔥

2,748 subscribers

26,676 views • 1 year ago •via X (Twitter)

Comedy Arts #MurderDrones #SerialDesignationN #SerialDesignationV #serialdesignationJ #mdtwt #Glitchproductions #SFM #TessaCyn

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#MurderDrones #SerialDesignationN #SerialDesignationV #SerialDesignationJ #nuzi #mdtwt #SFM #GlitchProductions - V just wants to game in peace. - you can already tell what the banging could possibly mean without me saying it. -

#MurderDrones #SerialDesignationN #SerialDesignationV #SerialDesignationJ #nuzi #mdtwt #SFM #GlitchProductions - V just wants to game in peace. - you can already tell what the banging could possibly mean without me saying it. -

🔥🌋BlazeAmation🌋🔥

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#Uzidoorman #SerialDesignationJ #MurderDrones #GlitchProductions #Mdtwt #SFM - "Sorrgy..... accident.. 🥺"

#Uzidoorman #SerialDesignationJ #MurderDrones #GlitchProductions #Mdtwt #SFM - "Sorrgy..... accident.. 🥺"

🔥🌋BlazeAmation🌋🔥

68,813 views • 1 year ago

[MURDER DRONES FAN MUGS] All of the mugs I've shown are in my shop now! #murderdrones #mdtwt #uzidoorman #serialdesignationn #serialdesignationv #serialdesignationj #Doll #Lizzy #Thad #Cyn #TessaJamesElliott #absolutesolver #glitchproductions

[MURDER DRONES FAN MUGS] All of the mugs I've shown are in my shop now! #murderdrones #mdtwt #uzidoorman #serialdesignationn #serialdesignationv #serialdesignationj #Doll #Lizzy #Thad #Cyn #TessaJamesElliott #absolutesolver #glitchproductions

MarshimiiuOwO🇵🇭 (COMMS OPEN) -CYNESSA TAKEOVER-

12,025 views • 4 months ago

#Nuzi #SerialdesignationN #Uzidoorman #MurderDrones #GlitchProductions #Mdtwt #SFM #UzixN - idk man, i had an idea.. lol

#Nuzi #SerialdesignationN #Uzidoorman #MurderDrones #GlitchProductions #Mdtwt #SFM #UzixN - idk man, i had an idea.. lol

🔥🌋BlazeAmation🌋🔥

25,137 views • 1 year ago

it is complete! #MurderDrones #Mdtwt #UziDoorman #SerialDesignationJ #glitchproductions #SFM #Juzi - NOTE: IK i made a Poll if i should make this or not and people choose Mercy. but i was bribed by a box of Oreo's and some money by Mr.Bill to do it anyways. lmao

it is complete! #MurderDrones #Mdtwt #UziDoorman #SerialDesignationJ #glitchproductions #SFM #Juzi - NOTE: IK i made a Poll if i should make this or not and people choose Mercy. but i was bribed by a box of Oreo's and some money by Mr.Bill to do it anyways. lmao

🔥🌋BlazeAmation🌋🔥

13,668 views • 1 year ago

- I already wanted to make this trend, and since I'm a multishipper...💛💜💛✨ Episode 7 caught me right at the end of this animation, and I definitely loved it, one of the best series endings I've ever seen✨ #murderdrones #SerialDesignationN #SerialDesignationV #UziDoorman

- I already wanted to make this trend, and since I'm a multishipper...💛💜💛✨ Episode 7 caught me right at the end of this animation, and I definitely loved it, one of the best series endings I've ever seen✨ #murderdrones #SerialDesignationN #SerialDesignationV #UziDoorman

KeepSalo (HIATUS)

35,650 views • 2 years ago

Test fit right after watching ep 8 twice :,D Honestly loved the end and hope to see more of the goofballs in future projects! #mdtwt #murderdronescosplay #serialdesignationn #sdncosplay #murderdrones #biscuitbites is canon Liam Vickers GLITCH

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Test fit right after watching ep 8 twice :,D Honestly loved the end and hope to see more of the goofballs in future projects! #mdtwt #murderdronescosplay #serialdesignationn #sdncosplay #murderdrones #biscuitbites is canon Liam Vickers GLITCH

DaftAftermath

16,051 views • 2 years ago

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A lot of people are unaware about what ‘TRAINING TILL TRUE FAILURE ’ means and that is costing them a lot more TIME & MONEY than it should to build muscles and get in shape. It’s not when your mind has given up. It’s not when you think you’ve done enough. It’s not stopping at 10 reps with your selected weight because the program said 8-10 Reps. True Failure is when the Muscle can no longer produce enough force to complete the movement safely and correctly no matter how much effort you’ve put in. It should be physically impossible !

Anand Nagu

50,766 views • 6 days ago

August recap of my Fogochain journey: Faucet →DeFi→Trading→Meme Token 1/ Testnet Expedition. Ep 1–5: ✦ Testnet Expedition Episode #1 : ✦ Testnet Expedition Episode #2 : ✦ Testnet Expedition Episode #3 : ✦ Testnet Expedition Episode #4 : ✦ Testnet Expedition Episode #5 : 2/ Faucet Guides: ✦ How To Get Faucet (Unofficial) : ✦ How to Get Faucet For Free : ✦ How to Claim Faucet by GasZip : 3/ DeFi ✦ Pyron Review : ✦ Trading Experience on Valiant : 4/ Meme Token ✦ Introducing $FF Token : Achievements in August. ▪️Earned Ember & Flame Crafter role on Fogo discord in 1 month ▪️Reached Top 8 Token Holder on Ember Dispatch ▪️Big impressions on X, even from a small account This month, my learn progress wasn’t about a single lucky break. It came from showing up daily, taking notes, fixing mistakes, and sharing what I found so others could move faster, too. Start small today. Return tomorrow. Repeat. Now, I’d love to hear from you: Which content did you enjoy the most, and what should I create next? More tutorials, trading notes, safety checklists, or deep dives into burner ecosystem? Your ideas will shape the next chapter of this journey.

August recap of my Fogochain journey: Faucet →DeFi→Trading→Meme Token 1/ Testnet Expedition. Ep 1–5: ✦ Testnet Expedition Episode #1 : ✦ Testnet Expedition Episode #2 : ✦ Testnet Expedition Episode #3 : ✦ Testnet Expedition Episode #4 : ✦ Testnet Expedition Episode #5 : 2/ Faucet Guides: ✦ How To Get Faucet (Unofficial) : ✦ How to Get Faucet For Free : ✦ How to Claim Faucet by GasZip : 3/ DeFi ✦ Pyron Review : ✦ Trading Experience on Valiant : 4/ Meme Token ✦ Introducing $FF Token : Achievements in August. ▪️Earned Ember & Flame Crafter role on Fogo discord in 1 month ▪️Reached Top 8 Token Holder on Ember Dispatch ▪️Big impressions on X, even from a small account This month, my learn progress wasn’t about a single lucky break. It came from showing up daily, taking notes, fixing mistakes, and sharing what I found so others could move faster, too. Start small today. Return tomorrow. Repeat. Now, I’d love to hear from you: Which content did you enjoy the most, and what should I create next? More tutorials, trading notes, safety checklists, or deep dives into burner ecosystem? Your ideas will shape the next chapter of this journey.

Raniii 🔥

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President Trump reportedly received a text message from Norway’s Prime Minister Jonas Gahr Støre urging Trump to lower the temperature and “de-escalate” the rhetoric on Greenland. Trump fired back with a BRUTAL one-liner that ended the conversation. Here’s how the exchange went: STØRE: “Dear Mr. President, dear Donald: We believe we all should work to take this down and de-escalate.” TRUMP: “Considering your country decided not to give me the Nobel Peace Prize for having stopped 8 wars plus, I no longer feel an obligation to think purely of peace.”

President Trump reportedly received a text message from Norway’s Prime Minister Jonas Gahr Støre urging Trump to lower the temperature and “de-escalate” the rhetoric on Greenland. Trump fired back with a BRUTAL one-liner that ended the conversation. Here’s how the exchange went: STØRE: “Dear Mr. President, dear Donald: We believe we all should work to take this down and de-escalate.” TRUMP: “Considering your country decided not to give me the Nobel Peace Prize for having stopped 8 wars plus, I no longer feel an obligation to think purely of peace.”

Dralone&_DR145

3,498,016 views • 4 months ago

I've seen a lot of animatics lately that are super detailed, essentially viewport previews of the final shot. But an animatic at it's core doesn't need to be anything fancy. Its main purpose is to plan and test the timing, camera angles, movement, and overall composition. With animatics you have to keep in mind the following: Pre-visualization: It allows to see a basic version of the animation or scene before committing to detailed work. Timing and pacing: An animatic helps identify how long each scene or shot should last, ensuring that the timing feels right. Planning: It helps with layout, camera angles, and transitions. By visualizing the shots, the team can ensure that the framing and overall design of the scenes work well in 3D space. Efficiency: It allows the team to test and fix any potential issues early on, like awkward movements or awkward pacing, before spending time on high-quality rendering or complex animation. In short, an animatic helps in conceptualizing the final animation by giving a low-res, rough version of the scenes, which guides the entire production process in terms of visual design, timing, and storytelling.

I've seen a lot of animatics lately that are super detailed, essentially viewport previews of the final shot. But an animatic at it's core doesn't need to be anything fancy. Its main purpose is to plan and test the timing, camera angles, movement, and overall composition. With animatics you have to keep in mind the following: Pre-visualization: It allows to see a basic version of the animation or scene before committing to detailed work. Timing and pacing: An animatic helps identify how long each scene or shot should last, ensuring that the timing feels right. Planning: It helps with layout, camera angles, and transitions. By visualizing the shots, the team can ensure that the framing and overall design of the scenes work well in 3D space. Efficiency: It allows the team to test and fix any potential issues early on, like awkward movements or awkward pacing, before spending time on high-quality rendering or complex animation. In short, an animatic helps in conceptualizing the final animation by giving a low-res, rough version of the scenes, which guides the entire production process in terms of visual design, timing, and storytelling.

Voxyde

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Is Former President Rodrigo Duterte finally conceding to Karlo Nograles? I sincerely hope so. This might be one of the very very few times I agreed with Former President Duterte and I think Davao City should listen to his wishes. Lols "Ayaw ko na. Ayaw ko na talaga. Whoever, alam mo, leave it to God. Hindi kailangang Duterte ang mayor" -FPRRD I have been to Davao City at least four times this year alone and I always think that a change in leadership will do them good. With all my love to the wonderful people of that city— it is not exactly as great as how the Dutertes package it, right? Traffic is extremely terrible, there are a lot of people in need of social aids, healthcare should be improved, poverty incidence is high, crimes exist amongst other things. And this is even after decades of Duterte reign, one term of Duterte presidency, the billions of pesos preferential budget of Pulong Duterte and influx of foreign investments especially during the time of FPRRD as president. In August 2024, General Torre even said that Davao City has been manipulating crime statistics to create a misleading impression of low crime rates in the city. He even showed the media the “blue blotter books” retrieved in Police Station 10. "Ako, tapos na ako, ibigay ko na lang chance sa iba” "Hindi na ako babalik... wala na akong... ibigay ko na sa next generation” It is important to note that under the new rules of the COMELEC, substitutions are not allowed after October 8, 2024 unless the reason is death or disqualification. CTTO/ Video

Is Former President Rodrigo Duterte finally conceding to Karlo Nograles? I sincerely hope so. This might be one of the very very few times I agreed with Former President Duterte and I think Davao City should listen to his wishes. Lols "Ayaw ko na. Ayaw ko na talaga. Whoever, alam mo, leave it to God. Hindi kailangang Duterte ang mayor" -FPRRD I have been to Davao City at least four times this year alone and I always think that a change in leadership will do them good. With all my love to the wonderful people of that city— it is not exactly as great as how the Dutertes package it, right? Traffic is extremely terrible, there are a lot of people in need of social aids, healthcare should be improved, poverty incidence is high, crimes exist amongst other things. And this is even after decades of Duterte reign, one term of Duterte presidency, the billions of pesos preferential budget of Pulong Duterte and influx of foreign investments especially during the time of FPRRD as president. In August 2024, General Torre even said that Davao City has been manipulating crime statistics to create a misleading impression of low crime rates in the city. He even showed the media the “blue blotter books” retrieved in Police Station 10. "Ako, tapos na ako, ibigay ko na lang chance sa iba” "Hindi na ako babalik... wala na akong... ibigay ko na sa next generation” It is important to note that under the new rules of the COMELEC, substitutions are not allowed after October 8, 2024 unless the reason is death or disqualification. CTTO/ Video

Just

33,718 views • 1 year ago

Seedance is absolutely insane for animation. Made in Runway Full Prompt: 15-second cinematic animated short, premium stylized 3D feature-film quality, charming rounded character design, expressive faces, snappy timing, fluid body motion, polished bedroom environment, warm natural window light, soft bounce lighting, realistic cloth and hair motion, shallow depth of field, cinematic lensing, playful magical tone, clean composition, strong silhouette posing. character: Hero Bread boy SHOT LIST WITH TIMING 0.0 - 3.0 sec Medium shot. Interior bedroom. 8-year-old boy sitting on bed, arm stretched forward, palm open toward a single pen on desk in front of him. He strains hard trying telekinesis. Face tense, eyes squinted, body shaking with effort, subtle bed bounce. Audible grunts. Camera slowly pushes in on boys face. 3.0 - 5.0 sec Cut to wide shot of full room. Bed on one side, desk with a pen on it. Posters, books, scattered toys, lived-in kid bedroom. Boy continues forcing powers toward pen. Curtains flutter slightly. Camera locked with slight handheld energy. Pen in foreground with the boy out of focus in the background. 5.0 - 7.0 sec Cut to close-up of boy’s face. Extreme concentration. Teeth clenched, cheeks puffing, eyebrows compressed. He gives one final powerful grunt. Tiny facial tremble, comedic over-effort. 7.0 - 8.5 sec Cut to macro close-up of a pen on the desk. Silence beat. Then the pen nudges forward only a few centimeters with tiny scrape sound. a small movement. 8.5 - 11.0 sec Cut back to medium shot of boy. He notices tiny movement but interprets it as failure. Expression falls. Long disappointed sigh. Arm drops limp. He flops backward onto bed dramatically, mattress compresses and rebounds. He stares at ceiling. 11.0 - 15.0 sec One beat of stillness. Then sudden fast crash zoom backward from boy, through bedroom, smashing out the window in one continuous camera move. Pull rapidly into huge exterior reveal: the entire house is floating 20 feet above the ground, gently hovering in the air above the street of houses which are on ground level. Trees and yard below. Subtle debris drifting downward. House tilts slightly. Golden sunlight. End on wide heroic comedic reveal. STYLE NOTES Fast readable cuts, strong anticipation and payoff, expressive animation arcs, clean eye lines, comedic timing, whimsical realism, smooth camera transitions, polished render quality. NEGATIVE PROMPT text, watermark, logo, extra limbs, creepy face, broken anatomy, jittery motion, flicker, noisy render, dark scene, horror tone, low detail, stiff animation, warped room geometry, duplicate objects, camera stutter. #seedance #AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️ #madewithrunway

Soul Motion labs

20,067 views • 3 months ago

Created with seedance 2.0 on Yapper by using the prompt: Create a 15-second ultra-smooth anime-style gameplay cinematic inspired by a futuristic Japanese city exploration game. A young anime girl character with white/silver hair, wearing a stylish black-and-white futuristic outfit with short skirt, thigh-high socks, and combat-style shoes, is running and climbing across red rooftop houses in a dense modern Tokyo-inspired city. Environment: Bright sunny daytime, blue sky with soft clouds, realistic anime lighting, modern skyscrapers in background, cherry blossom trees near houses, urban Japanese neighborhood mixed with futuristic city towers. Rooftops have realistic red metal textures with sunlight reflections. Character movement: Fast agile parkour movement across rooftops. Smooth running → jump → wall climb → rooftop landing. Natural anime body physics, cloth movement, hair bounce, accurate foot placement. Movement should feel like real gameplay captured live from a AAA anime open-world action game. Camera style: Third-person gameplay camera positioned slightly behind character. Dynamic camera follow with slight handheld motion. Smooth tracking movement. Minor motion blur during jumps. Game HUD/UI visible on screen like a real anime action RPG. Mini-map top left, action buttons on right side, health/stamina bar bottom center. Sequence: 0–4s Character runs across rooftop while camera follows behind smoothly. 4–8s She jumps between rooftops with cinematic slow-motion mid-air moment. 8–12s Character grabs edge of higher rooftop and climbs upward naturally. 12–15s Wide gameplay shot showing futuristic city skyline behind her while she stops briefly on rooftop edge. Wind moves hair and clothes naturally. Style & Quality: Ultra detailed anime rendering, high-end cel shading mixed with realistic lighting, smooth gameplay animation, modern gacha game aesthetic, polished textures, soft bloom, sharp shadows, immersive open-world atmosphere, 60fps feeling, cinematic gameplay trailer quality. Negative Prompt: low quality, broken anatomy, floating body, extra limbs, blurry textures, bad hands, static camera, unrealistic movement, low fps, distorted face, glitch effects, ugly lighting, oversaturated colors, missing UI, stiff animation.

Created with seedance 2.0 on Yapper by using the prompt: Create a 15-second ultra-smooth anime-style gameplay cinematic inspired by a futuristic Japanese city exploration game. A young anime girl character with white/silver hair, wearing a stylish black-and-white futuristic outfit with short skirt, thigh-high socks, and combat-style shoes, is running and climbing across red rooftop houses in a dense modern Tokyo-inspired city. Environment: Bright sunny daytime, blue sky with soft clouds, realistic anime lighting, modern skyscrapers in background, cherry blossom trees near houses, urban Japanese neighborhood mixed with futuristic city towers. Rooftops have realistic red metal textures with sunlight reflections. Character movement: Fast agile parkour movement across rooftops. Smooth running → jump → wall climb → rooftop landing. Natural anime body physics, cloth movement, hair bounce, accurate foot placement. Movement should feel like real gameplay captured live from a AAA anime open-world action game. Camera style: Third-person gameplay camera positioned slightly behind character. Dynamic camera follow with slight handheld motion. Smooth tracking movement. Minor motion blur during jumps. Game HUD/UI visible on screen like a real anime action RPG. Mini-map top left, action buttons on right side, health/stamina bar bottom center. Sequence: 0–4s Character runs across rooftop while camera follows behind smoothly. 4–8s She jumps between rooftops with cinematic slow-motion mid-air moment. 8–12s Character grabs edge of higher rooftop and climbs upward naturally. 12–15s Wide gameplay shot showing futuristic city skyline behind her while she stops briefly on rooftop edge. Wind moves hair and clothes naturally. Style & Quality: Ultra detailed anime rendering, high-end cel shading mixed with realistic lighting, smooth gameplay animation, modern gacha game aesthetic, polished textures, soft bloom, sharp shadows, immersive open-world atmosphere, 60fps feeling, cinematic gameplay trailer quality. Negative Prompt: low quality, broken anatomy, floating body, extra limbs, blurry textures, bad hands, static camera, unrealistic movement, low fps, distorted face, glitch effects, ugly lighting, oversaturated colors, missing UI, stiff animation.

Anissa

20,332 views • 3 months ago

Axie started in 2018. Creatures you could collect, battle, and raise while learning about a magical new technology called blockchain. Part of the original concept were axie homes called Terrariums. Places where your axies could live, get stronger, and harvest resources. Battles ended up getting prioritized instead, and Terrariums got shelved. But for eight years, that original idea held a special place in our hearts. Terrariums are a nod to that original dream. We're hard at work and our goal is to deliver the first version in late June. Here's how they'll work on day one: 1. You activate a plot of land. 2. You put your axies on it. 3. Every hour, the world ticks forward on its own. While you're away, your land is working. 4. It earns a reward called bAXS, the in-game currency that feeds back into the broader Axie economy. 5. To stay running, your land burns a fuel called Lunium. You get it two ways: buy packs, or let your land generate it slowly for free. 6. How much you earn scales with your axie power, a stat currently called Atia's Flame. Stronger (collectible) axies earn more points. More points means a bigger share of the prize pool. 7. Each land type has its own pool, split between everyone who owns that type. 8. There will be free terrariums that can be used to earn axie experience points (but not bAXS). These should also be useful for onboarding newcomers. The day-to-day is simple by design as we want to make sure that the gameplay is easy to grasp at first and doesn't become a grind for landowners. Learn more:

Axie started in 2018. Creatures you could collect, battle, and raise while learning about a magical new technology called blockchain. Part of the original concept were axie homes called Terrariums. Places where your axies could live, get stronger, and harvest resources. Battles ended up getting prioritized instead, and Terrariums got shelved. But for eight years, that original idea held a special place in our hearts. Terrariums are a nod to that original dream. We're hard at work and our goal is to deliver the first version in late June. Here's how they'll work on day one: 1. You activate a plot of land. 2. You put your axies on it. 3. Every hour, the world ticks forward on its own. While you're away, your land is working. 4. It earns a reward called bAXS, the in-game currency that feeds back into the broader Axie economy. 5. To stay running, your land burns a fuel called Lunium. You get it two ways: buy packs, or let your land generate it slowly for free. 6. How much you earn scales with your axie power, a stat currently called Atia's Flame. Stronger (collectible) axies earn more points. More points means a bigger share of the prize pool. 7. Each land type has its own pool, split between everyone who owns that type. 8. There will be free terrariums that can be used to earn axie experience points (but not bAXS). These should also be useful for onboarding newcomers. The day-to-day is simple by design as we want to make sure that the gameplay is easy to grasp at first and doesn't become a grind for landowners. Learn more:

Jihoz.ron

22,257 views • 2 months ago

1️⃣ I did everything I could for Ritual I made all kinds of contributions. For 8 months, I contributed to Ritual, but I am extremely disappointed with their system. I made 181 contributions on X, bought Canva Premium to design infographics, and sent almost 17,000 messages. Despite all this, I have been permanently ignored for 8 months. Two of my friends, Ashish.Base.eth (❖,❖) (230 contributions) and KUNDAN (150 contributions), are facing the same treatment. Because of this unfair and favoritism based system, I decided to post on Twitter to expose it. When we raised our voice after 6 months of hard work and 150+ contributions, the so called Indian community handlers and famous team members labeled it as FUD and continued ignoring us. 2️⃣ When we asked the Indian community handlers why we were not given roles after 8 months, they said: “We can’t do anything, the team decides.” But when we contacted the team or mods, they said: “Go back to the Indian community handlers, they will help you.” If these handlers and big mods really can’t do anything, then why are they even here? They are here to build connections This system has been making fun of me and other hard working contributors. 3️⃣ Now look at the people who received roles based on “quality contributions.” Everything is available with proof. One person (Yaneul) got a role with only 15 very low quality contributions (mostly food and event screenshots). He even got Ritualist with just 25 contributions. This clearly shows either connections were used or it could be a mod’s second account. Another person (placboeffect) got a role with just 9 contributions. Many people received roles at 35, 40, 50, 55, 60 contributions, while I had 181 contributions. This is what they call “quality contributions.” 4️⃣ Now decide yourself: Who contributed more? Who worked harder? People contributing for 8 months to 1 year are ignored, while others get roles at 9 or 25 contributions. Yes, we may have wasted our time, but we did work hard. 5️⃣ I didn’t want to come to X. but after contributing like a mad person and getting ignored, I don’t want to waste my time anymore. 6️⃣ I don’t know if the Josh (❖,❖) admin is aware of how mods and team are damaging this project Claire (❖,❖) she just help her country mates doesn't care about other people. 7️⃣ What’s the worst that can happen? They will ban me, and my 8 months of contributions will be wasted. There was never respect for real contributors anyway. If I had good connections with mods, I wouldn’t have struggled this much. It’s not like Ritual is my life, or Web3 has only Ritual, or they gave me any role to take back. Now I will openly speak on X without fear. 8️⃣ Some fearful people will read this post. They know everything that’s happening, but they won’t comment because they are scared. I understand their fear. --- 9️⃣ Best of luck to those who keep working blindly despite seeing all this. And special luck to those who have roles because of good connections with mods. --- 🔟 Last The so called Indian community handlers are only mods by name. One of them is a paid event manager, doing the job only for money. Another handler sends one message after 10 days. These are the people leading us in Ritual, who don’t even know what they’re doing. Jez ritual/acc (❖,❖) dunken(ritual/acc) (❖,❖) Stefan | Mad Scientist (❖,❖) Hinata Sir W A R D E N you are mod in Donut and Dhillon saab π² you are mod at data haven, Choudhary (Ø,G) ꧁IP꧂ you are mod at Capx and sir Botsan (capx arc) you are Admin of Capx You should learn from ritual mods how to ignore real contributors and how to promote favourtism

1️⃣ I did everything I could for Ritual I made all kinds of contributions. For 8 months, I contributed to Ritual, but I am extremely disappointed with their system. I made 181 contributions on X, bought Canva Premium to design infographics, and sent almost 17,000 messages. Despite all this, I have been permanently ignored for 8 months. Two of my friends, Ashish.Base.eth (❖,❖) (230 contributions) and KUNDAN (150 contributions), are facing the same treatment. Because of this unfair and favoritism based system, I decided to post on Twitter to expose it. When we raised our voice after 6 months of hard work and 150+ contributions, the so called Indian community handlers and famous team members labeled it as FUD and continued ignoring us. 2️⃣ When we asked the Indian community handlers why we were not given roles after 8 months, they said: “We can’t do anything, the team decides.” But when we contacted the team or mods, they said: “Go back to the Indian community handlers, they will help you.” If these handlers and big mods really can’t do anything, then why are they even here? They are here to build connections This system has been making fun of me and other hard working contributors. 3️⃣ Now look at the people who received roles based on “quality contributions.” Everything is available with proof. One person (Yaneul) got a role with only 15 very low quality contributions (mostly food and event screenshots). He even got Ritualist with just 25 contributions. This clearly shows either connections were used or it could be a mod’s second account. Another person (placboeffect) got a role with just 9 contributions. Many people received roles at 35, 40, 50, 55, 60 contributions, while I had 181 contributions. This is what they call “quality contributions.” 4️⃣ Now decide yourself: Who contributed more? Who worked harder? People contributing for 8 months to 1 year are ignored, while others get roles at 9 or 25 contributions. Yes, we may have wasted our time, but we did work hard. 5️⃣ I didn’t want to come to X. but after contributing like a mad person and getting ignored, I don’t want to waste my time anymore. 6️⃣ I don’t know if the Josh (❖,❖) admin is aware of how mods and team are damaging this project Claire (❖,❖) she just help her country mates doesn't care about other people. 7️⃣ What’s the worst that can happen? They will ban me, and my 8 months of contributions will be wasted. There was never respect for real contributors anyway. If I had good connections with mods, I wouldn’t have struggled this much. It’s not like Ritual is my life, or Web3 has only Ritual, or they gave me any role to take back. Now I will openly speak on X without fear. 8️⃣ Some fearful people will read this post. They know everything that’s happening, but they won’t comment because they are scared. I understand their fear. --- 9️⃣ Best of luck to those who keep working blindly despite seeing all this. And special luck to those who have roles because of good connections with mods. --- 🔟 Last The so called Indian community handlers are only mods by name. One of them is a paid event manager, doing the job only for money. Another handler sends one message after 10 days. These are the people leading us in Ritual, who don’t even know what they’re doing. Jez ritual/acc (❖,❖) dunken(ritual/acc) (❖,❖) Stefan | Mad Scientist (❖,❖) Hinata Sir W A R D E N you are mod in Donut and Dhillon saab π² you are mod at data haven, Choudhary (Ø,G) ꧁IP꧂ you are mod at Capx and sir Botsan (capx arc) you are Admin of Capx You should learn from ritual mods how to ignore real contributors and how to promote favourtism

Legend

12,873 views • 6 months ago

Day 11/90 of Inference Engineering How does vLLM work and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.

Day 11/90 of Inference Engineering How does vLLM work and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.

max fu

70,497 views • 1 month ago

2. Teasers / MV / Live presentations We believe all the content should include all members. Not some content, but all of it. We see some people excusing the exclusion of Lee Know in some content because "he will appear in other content", we don't understand why he would be excluded out of any content when the group includes 8 members. There isn't an excuse for this to happen all the time. We will only talk about recent releases and God's Menu to not make this even longer. a) Gods Menu - A title track where they gave him zero lines and screen time (song that they continue to sing, so the company could have made a redistribution of the lines). b) Megaverse - They gave him lines in the initial release, but then they cut his part to 3 seconds, and decided to delete his center part leaving him with half of a line. c) Hall Of Fame - Every live presentation they would cut Lee Know on his own part recording from below all of the other members and only listening to Lee Know's voice without being able to look at him. d) S-Class - They stopped recording the kick he does and instead they record the other members, Lee Know sings there. e) JJAM - When it was dance racha time, Lee Know got almost no time, during the life presentation the moment he goes to the center he says his line "I know..." and while he says it, the screen gets black, so he doesn't have that time on screen, later he is placed at the back covered during the dance break. He is the dance leader. f) Walkin on Water' - During the live presentation, they decided to record everyone on his part, and cut it from his own fancam. g) Recent teasers - He was completely excluded from the first teaser and only included in the second one, he got no solo recording on the MV like the other members. h) Giant - There is a part on the video where all the members are shown, Lee Know is covered and the lights are lowered where he is, making him invisible. During the live presentation, they record other members on his part, they put the dance focus on others, being the only part he has where he sings alone. i) YOUTH - After the release of the MV, the company decided to edit the video causing views to freeze and deleting a very important part where it thanked the people involved. The time from when the video was finished to when it was published was enough to arrange all the details, and the part deleted was so big, it was impossible to miss it. This happened before with his other individual work “Dawn”, which was deleted after some time, and re-uploaded, deleting all the views it had accumulated. This means one of two things, the company puts less interest and effort in Lee Know's work, or the company is purposefully hindering Lee Know's work. Either of the two is unacceptable by a company with so many resources and that claims to be a leader in the industry. This only shows a lack of professionalism and care. j) Dance leader - We know he is the dance leader, and K-stays and the members have talked a lot about how involved he is and how hard he works in that position, but the company refuses to include any footage of him doing it, and even cuts the parts where he gives his all. Just recently K-Stays were raving about how hard Lee Know worked as the dance leader and how much effort it took, One Label cut all of that footage from the Talker. It appears they don't want stays to look at anything he does, or to not give him recognition for anything.

2. Teasers / MV / Live presentations We believe all the content should include all members. Not some content, but all of it. We see some people excusing the exclusion of Lee Know in some content because "he will appear in other content", we don't understand why he would be excluded out of any content when the group includes 8 members. There isn't an excuse for this to happen all the time. We will only talk about recent releases and God's Menu to not make this even longer. a) Gods Menu - A title track where they gave him zero lines and screen time (song that they continue to sing, so the company could have made a redistribution of the lines). b) Megaverse - They gave him lines in the initial release, but then they cut his part to 3 seconds, and decided to delete his center part leaving him with half of a line. c) Hall Of Fame - Every live presentation they would cut Lee Know on his own part recording from below all of the other members and only listening to Lee Know's voice without being able to look at him. d) S-Class - They stopped recording the kick he does and instead they record the other members, Lee Know sings there. e) JJAM - When it was dance racha time, Lee Know got almost no time, during the life presentation the moment he goes to the center he says his line "I know..." and while he says it, the screen gets black, so he doesn't have that time on screen, later he is placed at the back covered during the dance break. He is the dance leader. f) Walkin on Water' - During the live presentation, they decided to record everyone on his part, and cut it from his own fancam. g) Recent teasers - He was completely excluded from the first teaser and only included in the second one, he got no solo recording on the MV like the other members. h) Giant - There is a part on the video where all the members are shown, Lee Know is covered and the lights are lowered where he is, making him invisible. During the live presentation, they record other members on his part, they put the dance focus on others, being the only part he has where he sings alone. i) YOUTH - After the release of the MV, the company decided to edit the video causing views to freeze and deleting a very important part where it thanked the people involved. The time from when the video was finished to when it was published was enough to arrange all the details, and the part deleted was so big, it was impossible to miss it. This happened before with his other individual work “Dawn”, which was deleted after some time, and re-uploaded, deleting all the views it had accumulated. This means one of two things, the company puts less interest and effort in Lee Know's work, or the company is purposefully hindering Lee Know's work. Either of the two is unacceptable by a company with so many resources and that claims to be a leader in the industry. This only shows a lack of professionalism and care. j) Dance leader - We know he is the dance leader, and K-stays and the members have talked a lot about how involved he is and how hard he works in that position, but the company refuses to include any footage of him doing it, and even cuts the parts where he gives his all. Just recently K-Stays were raving about how hard Lee Know worked as the dance leader and how much effort it took, One Label cut all of that footage from the Talker. It appears they don't want stays to look at anything he does, or to not give him recognition for anything.

LEE KNOW 리노 GLOBAL ★

21,011 views • 1 year ago

Everyone's sleeping on image-to-3D AI models. They can make your app look incredibly unique, with just a little effort. Here's how. This is my calorie tracker, built in a week with nothing but prompting. Just Claude Code + a couple APIs. The visuals are all AI-generated. I'll be sharing the full workflow + all the crazy technical stuff Claude and I did to make this work, so nobody has to struggle through it like me. Deep dive coming soon! Till then, this is the high-level idea: 1. Get a clean image of the food (or whatever your asset is) - In my app, the user describes foods via text, or attaches images (or both) - If text, an LLM extracts the food description and formats it into a specific prompt I tuned for this design, and we generate an image using Z-Image Turbo through fal - If image, we do the same thing but with FLUX.2 [dev] to edit the user image into our reference design - Originally, both used Google Nano Banana, but switching to open models cut costs and latency a ton 2. Gaussian splatting (2D image → 3D model) - I tried various 2D-to-3D options on fal and ended up with TripoSplat as my preferred balance of speed, cost, latency; this turns an image into a 3D model that looks super high quality (link below) - The app displays the 2D image while our backend generates the 3D splat - We "groom" the splat to reduce size and load time by culling low-opacity/scale points 3. Render efficiently on device Originally, it looked great but ran at 10 FPS. Getting to 120 FPS was a crazy journey. TL;DR: - SwiftUI had to go; it forced us to render each asset in independent MTKViews, which wasn't workable - Instead, we composite every dish into one full-bleed CAMetalLayer using MetalSplatter (link below) - We had to make some optimizations within MetalSplatter's code too, to reduce the overhead of sorting points per render Then I added some finishing touches like the subtle rotation and parallax as they move around. I think it turned out pretty cool :) Overall, this took some effort, but we still got it done in less than a day. Hopefully your agent can follow in the footsteps of mine and do it much faster. Keep an eye out for the bigger writeup, which'll give your agent everything it needs. If you have any questions, drop em below!

Everyone's sleeping on image-to-3D AI models. They can make your app look incredibly unique, with just a little effort. Here's how. This is my calorie tracker, built in a week with nothing but prompting. Just Claude Code + a couple APIs. The visuals are all AI-generated. I'll be sharing the full workflow + all the crazy technical stuff Claude and I did to make this work, so nobody has to struggle through it like me. Deep dive coming soon! Till then, this is the high-level idea: 1. Get a clean image of the food (or whatever your asset is) - In my app, the user describes foods via text, or attaches images (or both) - If text, an LLM extracts the food description and formats it into a specific prompt I tuned for this design, and we generate an image using Z-Image Turbo through fal - If image, we do the same thing but with FLUX.2 [dev] to edit the user image into our reference design - Originally, both used Google Nano Banana, but switching to open models cut costs and latency a ton 2. Gaussian splatting (2D image → 3D model) - I tried various 2D-to-3D options on fal and ended up with TripoSplat as my preferred balance of speed, cost, latency; this turns an image into a 3D model that looks super high quality (link below) - The app displays the 2D image while our backend generates the 3D splat - We "groom" the splat to reduce size and load time by culling low-opacity/scale points 3. Render efficiently on device Originally, it looked great but ran at 10 FPS. Getting to 120 FPS was a crazy journey. TL;DR: - SwiftUI had to go; it forced us to render each asset in independent MTKViews, which wasn't workable - Instead, we composite every dish into one full-bleed CAMetalLayer using MetalSplatter (link below) - We had to make some optimizations within MetalSplatter's code too, to reduce the overhead of sorting points per render Then I added some finishing touches like the subtle rotation and parallax as they move around. I think it turned out pretty cool :) Overall, this took some effort, but we still got it done in less than a day. Hopefully your agent can follow in the footsteps of mine and do it much faster. Keep an eye out for the bigger writeup, which'll give your agent everything it needs. If you have any questions, drop em below!

Anshu

19,931 views • 1 month ago

Ekwulobia Kidnap: “My Brother Jowizaza Extravagant Lifestyle Is The Cause Of All This Madness And Why Our Father Was Kidnapped.” ~ Jowizaza’s Sister Blasts Her Brother👀 Sir Joseph Ezeokafor, Anambra-Born Industrialist And Founder Of The Jezco Group, Is Reportedly Spending His 10th Night In The Hands Of Kidnappers After He Was Abducted While On His Knees Praying. However, The Situation Has Taken Another Dramatic Turn, As His First Child And Eldest Daughter, Ezeokafor Blessing, Has Taken To Social Media To Accuse Her Younger Brother And Instagram Personality, Eberechukwu Jowizaza, Of Contributing To The Family’s Current Ordeal And Financial Difficulties. In A Series Of Posts On Her Facebook Page, Blessing, A Lawyer, Made Several Serious Allegations About Her Brother’s Lifestyle, The Family’s Financial Situation And The Circumstances Surrounding Her Father’s Kidnap. Among Her Major Claims: 1. She Alleged That Her Family Is Not As Wealthy As Jowizaza Portrays Online, Describing His Display Of Wealth As “Audio Money” And An Exaggerated Lifestyle. 2. She Claimed That His Online Display Of Wealth Created The Impression That The Family Had Vast Financial Resources, Allegedly Making Them A Target. 3. She Blamed Her Brother’s Public Lifestyle For Bringing Unnecessary Attention To Their Father, Whom She Described As A Quiet Man Whose Main Focus Is Serving God. 4. She Alleged That Jowizaza’s Management Of The Family Business Contributed To Its Financial Problems And Claimed The Jezco Group Is Facing Significant Debt. 5. She Alleged That The Company Owes FCMB About ₦40 Billion And That One Of Its Accounts Has Been Frozen Over Unpaid Loans. These Claims Have Not Been Independently Verified. 6. She Claimed That Jowizaza Was Removed As A Director Of The Company And Subsequently Placed On A Monthly Salary Of ₦1 Million. 7. She Also Questioned How Her Brother Could Raise The Reported ₦700 Million Ransom Initially Demanded By The Kidnappers, Which She Said Was Later Increased To ₦1.5 Billion. 8. She Ended Her Rants By Appealing To The Kidnappers To Release Her Father, Insisting That He Had Done Nothing To Deserve What He Was Going Through. The Allegations Made By Blessing Are Serious And Have Not Been Independently Verified. They Also Appear To Be Part Of An Ongoing Family Dispute, So The Claims Should Be Treated As Allegations Until Supporting Evidence Or Responses From The Other Parties Emerge. More Updates To Follow.

Ekwulobia Kidnap: “My Brother Jowizaza Extravagant Lifestyle Is The Cause Of All This Madness And Why Our Father Was Kidnapped.” ~ Jowizaza’s Sister Blasts Her Brother👀 Sir Joseph Ezeokafor, Anambra-Born Industrialist And Founder Of The Jezco Group, Is Reportedly Spending His 10th Night In The Hands Of Kidnappers After He Was Abducted While On His Knees Praying. However, The Situation Has Taken Another Dramatic Turn, As His First Child And Eldest Daughter, Ezeokafor Blessing, Has Taken To Social Media To Accuse Her Younger Brother And Instagram Personality, Eberechukwu Jowizaza, Of Contributing To The Family’s Current Ordeal And Financial Difficulties. In A Series Of Posts On Her Facebook Page, Blessing, A Lawyer, Made Several Serious Allegations About Her Brother’s Lifestyle, The Family’s Financial Situation And The Circumstances Surrounding Her Father’s Kidnap. Among Her Major Claims: 1. She Alleged That Her Family Is Not As Wealthy As Jowizaza Portrays Online, Describing His Display Of Wealth As “Audio Money” And An Exaggerated Lifestyle. 2. She Claimed That His Online Display Of Wealth Created The Impression That The Family Had Vast Financial Resources, Allegedly Making Them A Target. 3. She Blamed Her Brother’s Public Lifestyle For Bringing Unnecessary Attention To Their Father, Whom She Described As A Quiet Man Whose Main Focus Is Serving God. 4. She Alleged That Jowizaza’s Management Of The Family Business Contributed To Its Financial Problems And Claimed The Jezco Group Is Facing Significant Debt. 5. She Alleged That The Company Owes FCMB About ₦40 Billion And That One Of Its Accounts Has Been Frozen Over Unpaid Loans. These Claims Have Not Been Independently Verified. 6. She Claimed That Jowizaza Was Removed As A Director Of The Company And Subsequently Placed On A Monthly Salary Of ₦1 Million. 7. She Also Questioned How Her Brother Could Raise The Reported ₦700 Million Ransom Initially Demanded By The Kidnappers, Which She Said Was Later Increased To ₦1.5 Billion. 8. She Ended Her Rants By Appealing To The Kidnappers To Release Her Father, Insisting That He Had Done Nothing To Deserve What He Was Going Through. The Allegations Made By Blessing Are Serious And Have Not Been Independently Verified. They Also Appear To Be Part Of An Ongoing Family Dispute, So The Claims Should Be Treated As Allegations Until Supporting Evidence Or Responses From The Other Parties Emerge. More Updates To Follow.

Somto Okonkwo

67,197 views • 3 days ago