Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

Introducing: 👄 𝟏𝐦𝐨𝐮𝐭𝐡 𝐚𝐧𝐚𝐥𝐨𝐠 👄 A collection of 222 analog collages made from paper, plastic, fire, scratches & random objects (yes, even avocado nets). ✂️ Each collage is a hand-crafted 1/1. Some were erased. Most came back stronger. Coming May 6th on Rarible.

miirror 👄

4,379 subscribers

23,394 просмотров • 1 год назад •via X (Twitter)

Финансы Искусство

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля anz

anz1 год назад

@rarible Ugh🫦

Фото профиля miirror 👄🤝

miirror 👄🤝1 год назад

@rarible Exactly 🫦

Фото профиля Zoe Louise

Zoe Louise1 год назад

@rarible Wow! Amazinggg!!

Фото профиля miirror 👄🤝

miirror 👄🤝1 год назад

@rarible It wasn't easy to keep it a secret for so long!

Фото профиля Ponse Lakiva ✨

Ponse Lakiva ✨1 год назад

@rarible This is insane 🔥🔥🔥🔥

Фото профиля miirror 👄🤝

miirror 👄🤝1 год назад

@rarible Yes fren, my biggest project so far! 👄 and full analog, this time ✂️

Фото профиля smolinkling | ∑: 🙂

smolinkling | ∑: 🙂1 год назад

@rarible Slick art there

Фото профиля miirror 👄🤝

miirror 👄🤝1 год назад

@rarible You bet.

Фото профиля Chringo

Chringo1 год назад

@rarible YESS 🔥✂️🔥

Фото профиля miirror 👄🤝

miirror 👄🤝1 год назад

@rarible We almost there 👄🖤

Похожие видео

David Goggins delivers a soul-shaking truth: The heaviest scars—from childhood trauma to silent battles—aren’t curses sent to destroy you. They are divine tests, hand-crafted to sculpt the unbreakable warrior you were always destined to become. He warns that the real trials strike when everything seems perfect: “Tests come when you haven’t studied.” Yet the greatest victory isn’t avoiding pain—it’s diving deep inside every single day, staring down the chaos, and relentlessly choosing to heal, grow, and rise stronger. Most people spend their lives running from discomfort. Goggins charges straight into the fire… and emerged as a living legend because of it. Your pain isn’t random. It’s your forge. It’s shaping a version of you the world has never seen—tougher, wiser, kinder, unstoppable. This raw 1:18 clip will light a fire in your soul that never goes out. Watch it, feel the shift, and carry that energy into your day. Who’s embracing their test today and stepping closer to who they were born to be? Let’s go.

David Goggins delivers a soul-shaking truth: The heaviest scars—from childhood trauma to silent battles—aren’t curses sent to destroy you. They are divine tests, hand-crafted to sculpt the unbreakable warrior you were always destined to become. He warns that the real trials strike when everything seems perfect: “Tests come when you haven’t studied.” Yet the greatest victory isn’t avoiding pain—it’s diving deep inside every single day, staring down the chaos, and relentlessly choosing to heal, grow, and rise stronger. Most people spend their lives running from discomfort. Goggins charges straight into the fire… and emerged as a living legend because of it. Your pain isn’t random. It’s your forge. It’s shaping a version of you the world has never seen—tougher, wiser, kinder, unstoppable. This raw 1:18 clip will light a fire in your soul that never goes out. Watch it, feel the shift, and carry that energy into your day. Who’s embracing their test today and stepping closer to who they were born to be? Let’s go.

Camus

103,186 просмотров • 9 месяцев назад

Mick Foley opens up about some of the regrets he carries from his wrestling career: "When I was coming in, a concussion was something you shook off. Unless you were knocked out, it wasn't even considered a concussion. So I didn't put my hands up to block chairs. That was a mistake. The other one, Ariel, is that I shouldn't have been dropping those elbows off the ring apron onto the concrete unless there was a TV camera on. And even then, you could argue I shouldn't have been doing that. It's kind of a catch-22 because it was doing those things that made me who I was and got me where I went. But I still should have put my hand up when I saw metal objects traveling at high speed."

Mick Foley opens up about some of the regrets he carries from his wrestling career: "When I was coming in, a concussion was something you shook off. Unless you were knocked out, it wasn't even considered a concussion. So I didn't put my hands up to block chairs. That was a mistake. The other one, Ariel, is that I shouldn't have been dropping those elbows off the ring apron onto the concrete unless there was a TV camera on. And even then, you could argue I shouldn't have been doing that. It's kind of a catch-22 because it was doing those things that made me who I was and got me where I went. But I still should have put my hand up when I saw metal objects traveling at high speed."

Ariel Helwani

79,144 просмотров • 3 месяцев назад

Yes, Ricky was surely the culprit. But only in pushing the button. HE DID NOT HAVE ANY PALM PISTOL IN HIS HAND ! > 1. Nothing is visible between the fingers, but the shadow on the frames 0, or +1 ; > 2. Cutler's hand is half way open, with all fingers positioned forward. Nothing can be held in the open hand position like that. Especially when the hand is in motion. If anything was in that hand, it would simply fall out ; > 3. Most certainly, no weapon can be aimed at the target in this kind of open hand position, even if something could have been in it. Any weapon has to be held with a firm grip, for it to be aimed properly. Any suggesting that a weapon can be aimed form such a completely open hand position is utterly laughable ; > 4. No squeezing action in the hand is visible at all. All fingers remain perfectly stationary ; > > > 5. NO RECOIL action on the hand whatsoever ! Anyone who knows anything about the basic laws of physics, would know that no weapon is ever fired without a recoil action. Even the knowledge of the laws of physics is not required for this understanding. Just the basic common sense should be sufficient. Any one of the points above mentioned makes this palm pistol option impossible. Let alone all of them at the same time. And this evidence is with regards to the hand only. If I were to make the whole list of evidence against the palm pistol, aside of the actual hand itself, it would probably be 30-40 items long. So, I will skip that pages long extended part. I hope that just the above stated is sufficient enough ? But the full length video, with all the frames, each frame by frame examination is coming right up.

Yes, Ricky was surely the culprit. But only in pushing the button. HE DID NOT HAVE ANY PALM PISTOL IN HIS HAND ! > 1. Nothing is visible between the fingers, but the shadow on the frames 0, or +1 ; > 2. Cutler's hand is half way open, with all fingers positioned forward. Nothing can be held in the open hand position like that. Especially when the hand is in motion. If anything was in that hand, it would simply fall out ; > 3. Most certainly, no weapon can be aimed at the target in this kind of open hand position, even if something could have been in it. Any weapon has to be held with a firm grip, for it to be aimed properly. Any suggesting that a weapon can be aimed form such a completely open hand position is utterly laughable ; > 4. No squeezing action in the hand is visible at all. All fingers remain perfectly stationary ; > > > 5. NO RECOIL action on the hand whatsoever ! Anyone who knows anything about the basic laws of physics, would know that no weapon is ever fired without a recoil action. Even the knowledge of the laws of physics is not required for this understanding. Just the basic common sense should be sufficient. Any one of the points above mentioned makes this palm pistol option impossible. Let alone all of them at the same time. And this evidence is with regards to the hand only. If I were to make the whole list of evidence against the palm pistol, aside of the actual hand itself, it would probably be 30-40 items long. So, I will skip that pages long extended part. I hope that just the above stated is sufficient enough ? But the full length video, with all the frames, each frame by frame examination is coming right up.

US_did_ 911

143,561 просмотров • 6 месяцев назад

Generative Adversarial Network (GAN) by hand ✍️ ~ 9 steps walkthrough below The Gen in GenAI came from this landmark paper by Ian Goodfellow et al., 12 years ago. The paper showed that a neural network can not only classify but also turn upside down to generate realistic looking images. The secret? We pit two of them against each other: a Generator turns noise into fake data, and a Discriminator learns to tell fake from real, pushing the Generator to keep doing better. One runs upside down, the other right way up. I drew and calculated one entirely by hand. Goal: generate realistic 4D data out of 2D noise, filling in every cell yourself. = 1. Given = Four noise vectors in 2D, and four real data vectors in 4D. = 2. Generator, first layer = Let us multiply the noise by weights and biases to get new features. = 3. ReLU = We apply the activation, and -1 and -2 are crossed out and set to 0. = 4. Generator, second layer = Let us multiply again. ReLU applies here too, but every value is already positive, so nothing changes. What comes out is the fake data F, made by a two-layer generator out of nothing but noise. = 5. Discriminator, first layer = We feed it both, the four fakes and the four real vectors, through the same weights. It never learns which is which from the layout, only from the numbers. = 6. Discriminator, second layer = Let us reduce each data vector to a single feature Z. Eight vectors in, eight numbers out. = 7. Sigmoid = We turn each Z into a probability Y. A 1 means the discriminator is certain the data is real, a 0 means certain it is fake. = 8. Training the Discriminator = Let us take the gradients as Y minus YD, where YD is what the discriminator should have said: 0 for the four fakes, 1 for the four real. Why so simple? Because pairing sigmoid with binary cross entropy loss makes the math collapse to exactly this subtraction. Its loss uses both halves of the page. = 9. Training the Generator = We do it again, as Y minus YG, and YG is [1, 1, 1, 1]: the generator wants the discriminator to call every fake real. Same predictions, different target, opposite goal. Its loss uses only the fakes. The outputs: Fake data F = [1, 2, 3, 1], [1, 1, 2, 1], [2, 2, 4, 2], [1, 0, 1, 1] Predictions on fakes = [.7, .5, .9, .3] Predictions on real = [.7, .9, .9, 1] Discriminator gradients = [.7, .5, .9, .3] and [-.3, -.1, -.1, 0] Generator gradients = [-.3, -.5, -.1, -.7] The takeaway: the adversarial part is one subtraction done twice. The same eight predictions, scored against two opposite targets, send one set of gradients back through the blue weights and another back through the green ones. 💾 Save this post!

Generative Adversarial Network (GAN) by hand ✍️ ~ 9 steps walkthrough below The Gen in GenAI came from this landmark paper by Ian Goodfellow et al., 12 years ago. The paper showed that a neural network can not only classify but also turn upside down to generate realistic looking images. The secret? We pit two of them against each other: a Generator turns noise into fake data, and a Discriminator learns to tell fake from real, pushing the Generator to keep doing better. One runs upside down, the other right way up. I drew and calculated one entirely by hand. Goal: generate realistic 4D data out of 2D noise, filling in every cell yourself. = 1. Given = Four noise vectors in 2D, and four real data vectors in 4D. = 2. Generator, first layer = Let us multiply the noise by weights and biases to get new features. = 3. ReLU = We apply the activation, and -1 and -2 are crossed out and set to 0. = 4. Generator, second layer = Let us multiply again. ReLU applies here too, but every value is already positive, so nothing changes. What comes out is the fake data F, made by a two-layer generator out of nothing but noise. = 5. Discriminator, first layer = We feed it both, the four fakes and the four real vectors, through the same weights. It never learns which is which from the layout, only from the numbers. = 6. Discriminator, second layer = Let us reduce each data vector to a single feature Z. Eight vectors in, eight numbers out. = 7. Sigmoid = We turn each Z into a probability Y. A 1 means the discriminator is certain the data is real, a 0 means certain it is fake. = 8. Training the Discriminator = Let us take the gradients as Y minus YD, where YD is what the discriminator should have said: 0 for the four fakes, 1 for the four real. Why so simple? Because pairing sigmoid with binary cross entropy loss makes the math collapse to exactly this subtraction. Its loss uses both halves of the page. = 9. Training the Generator = We do it again, as Y minus YG, and YG is [1, 1, 1, 1]: the generator wants the discriminator to call every fake real. Same predictions, different target, opposite goal. Its loss uses only the fakes. The outputs: Fake data F = [1, 2, 3, 1], [1, 1, 2, 1], [2, 2, 4, 2], [1, 0, 1, 1] Predictions on fakes = [.7, .5, .9, .3] Predictions on real = [.7, .9, .9, 1] Discriminator gradients = [.7, .5, .9, .3] and [-.3, -.1, -.1, 0] Generator gradients = [-.3, -.5, -.1, -.7] The takeaway: the adversarial part is one subtraction done twice. The same eight predictions, scored against two opposite targets, send one set of gradients back through the blue weights and another back through the green ones. 💾 Save this post!

Tom Yeh

16,752 просмотров • 2 месяцев назад

TYLER ROBINSON 9/10 PANGUITCH RECEIPT SHENANIGANS 👀 .Andrew Wilson showed his hand last night Instead of JUST GIVING OUT THE CARDHOLDER NAME ON THE TRANSACTION for alleged Tyler Robinson Panguitch receipt, they looked through & found a matching last-4 card number of "a regular" apparently willing to say they were there? Let's do the math on that: Say a popular restaurant sees 45,000 different customer debit cards a year. A debit card last 4 has 10,000 possible values (0000-9999), so any two separate cards have a 1/10,000 chance of matching. 45,000 / 10,000 = 4.5, so each last 4 shows up on about 4.5 customers on average. A MATCHING LAST 4 IS basically GUARANTEED. That is NOT RARE. That does not mean there are at least 5 people on every last 4. 4.5 is the average. Some last 4s will have 2 or 3 people, others will have 5, 6, or more. If some of those people are regulars, that same last 4 prints even more often, because the same cards keep coming back. Just show THE DEBIT TRANSACTION with THE CARDHOLDER NAME - enough with the bullsh!t already. 🤷🏻‍♂️

TYLER ROBINSON 9/10 PANGUITCH RECEIPT SHENANIGANS 👀 .Andrew Wilson showed his hand last night Instead of JUST GIVING OUT THE CARDHOLDER NAME ON THE TRANSACTION for alleged Tyler Robinson Panguitch receipt, they looked through & found a matching last-4 card number of "a regular" apparently willing to say they were there? Let's do the math on that: Say a popular restaurant sees 45,000 different customer debit cards a year. A debit card last 4 has 10,000 possible values (0000-9999), so any two separate cards have a 1/10,000 chance of matching. 45,000 / 10,000 = 4.5, so each last 4 shows up on about 4.5 customers on average. A MATCHING LAST 4 IS basically GUARANTEED. That is NOT RARE. That does not mean there are at least 5 people on every last 4. 4.5 is the average. Some last 4s will have 2 or 3 people, others will have 5, 6, or more. If some of those people are regulars, that same last 4 prints even more often, because the same cards keep coming back. Just show THE DEBIT TRANSACTION with THE CARDHOLDER NAME - enough with the bullsh!t already. 🤷🏻‍♂️

Diligent Denizen 🇺🇸

63,641 просмотров • 9 дней назад

“Gypsy” is from Fleetwood Mac’s 1982 album Mirage. Written by Stevie Nicks, the nostalgic track peaked at #12 on the Billboard Hot 100 and helped propel Mirage to #1 in the US. The song was originally inspired by Stevie Nicks' memories of the years she and Lindsey Buckingham struggled financially, when they shopped for vintage clothes in a San Francisco store whose "old back room" inspired one of the song's most memorable lyrics. After the death of her best friend, Robin Anderson, Nicks came to view "Gypsy" as a tribute to her, giving the song an even deeper emotional meaning. Its legacy was further cemented by its music video, which cost nearly $1 million to produce, making it one of the most expensive music videos ever made at the time.

“Gypsy” is from Fleetwood Mac’s 1982 album Mirage. Written by Stevie Nicks, the nostalgic track peaked at #12 on the Billboard Hot 100 and helped propel Mirage to #1 in the US. The song was originally inspired by Stevie Nicks' memories of the years she and Lindsey Buckingham struggled financially, when they shopped for vintage clothes in a San Francisco store whose "old back room" inspired one of the song's most memorable lyrics. After the death of her best friend, Robin Anderson, Nicks came to view "Gypsy" as a tribute to her, giving the song an even deeper emotional meaning. Its legacy was further cemented by its music video, which cost nearly $1 million to produce, making it one of the most expensive music videos ever made at the time.

Ladytron Fan Account

23,621 просмотров • 21 дней назад

Fable 5 and GPT-5.6 built the same scroll-animated website from 1 skill in 32 minutes and only 1 of them made it feel like a film. Same prompt: boutique Japan travel brand, origami style. A subway pulls in, a paper house unfolds into a hotel, a bird takes flight as you scroll. Doing this by hand is brutal multiple videos, matched starting frames, frames ripped out 1 by 1 and synced to scroll position. The skill does all of it: Generate 1 anchor image and approve it every scene inherits the style Turn it into video through the Higgs Field MCP (Seedance), straight from the terminal FFmpeg pulls every frame Each frame maps to scroll position, so your scrollbar becomes the playhead Setup is just connecting the MCP and loading the skill works in Claude Code and Codex. It interviews you first about scenes, budget and mobile, then shows the anchor image before burning a single credit on video. Budget reality: 6 scenes runs ~800 credits and is overkill, 4 scenes is the sweet spot, crop-safe mobile is the cheap path. The verdict came down to transitions. GPT-5.6 Soul built strong scenes with incredible detail inside each one then hard cuts between scene 1 and 2, and again between 2 and 3. Fable 5 stitched them together: wires push out of the top of frame while the next scene blurs in behind, gains depth and locks into place. Same skill, same prompts, 10 generations each. Credit to Peter Wang for the original Scroll World skill open source, now forked with budget tiers and mobile fixes. Soul built 4 scenes. Fable built 1 film.

Spike 1%

45,609 просмотров • 2 месяцев назад

Silver trades in ONLY 2 markets: 1) Physical market 2) Paper market Let me explain what each is (and why you need to be aware of them): 1) Physical market: Actual bars and coins. You buy it, you own it, you store it. This moves based on real supply and demand. 2) Paper market: Futures contracts traded on the CME. You're not buying silver—you're buying a contract that says you have the right to silver in the future. This uses 10:1 leverage, meaning you only put up 10% of the actual value. Here's why you need to understand the difference: The exchange can change margin requirements anytime they want. They raised it from 10% to 20%, 30%, even 40% during the crash. When this happens, leveraged traders face two choices: add more money or sell. For last Friday: At $120, most traders were fully leveraged. When margins spiked, they couldn't add more cash—they were forced to liquidate. This created a cascade: 1) Forced selling pushed prices down 2) Trieggered more margin calls 3) Forced more selling The key difference between these markets: They can manipulate paper prices by adjusting margin requirements, but they can't create physical silver out of thin air. While paper crashed 35%, the physical premium in Shanghai hit all-time highs—people were paying $40+ above the paper price for actual metal. That's the game.

Silver trades in ONLY 2 markets: 1) Physical market 2) Paper market Let me explain what each is (and why you need to be aware of them): 1) Physical market: Actual bars and coins. You buy it, you own it, you store it. This moves based on real supply and demand. 2) Paper market: Futures contracts traded on the CME. You're not buying silver—you're buying a contract that says you have the right to silver in the future. This uses 10:1 leverage, meaning you only put up 10% of the actual value. Here's why you need to understand the difference: The exchange can change margin requirements anytime they want. They raised it from 10% to 20%, 30%, even 40% during the crash. When this happens, leveraged traders face two choices: add more money or sell. For last Friday: At $120, most traders were fully leveraged. When margins spiked, they couldn't add more cash—they were forced to liquidate. This created a cascade: 1) Forced selling pushed prices down 2) Trieggered more margin calls 3) Forced more selling The key difference between these markets: They can manipulate paper prices by adjusting margin requirements, but they can't create physical silver out of thin air. While paper crashed 35%, the physical premium in Shanghai hit all-time highs—people were paying $40+ above the paper price for actual metal. That's the game.

Felix Prehn 🐶

47,893 просмотров • 7 месяцев назад

Toxic is a disaster but the paid negative campaign against the film is highly condemnable. There are some people within the film industry who seem to enjoy being commentators instead of concentrating on their own films. Their relevance is increasingly relegated to commenting on what is going right or wrong with the industry, while they remain hesitant and unsure about their own work. But here’s the larger point: no amount of negativity can stop a genuinely good film. Animal faced tremendous negativity, but alongside it were people proudly saying they had watched the film three, four, even five times. Once that wave of genuine audience excitement took over, nothing could stop the film from becoming a huge success. The same happened with Dhurandhar. Negative videos were made, criticism came from different quarters, but there was also a much bigger wave of people absolutely loving the film. When positive word of mouth becomes overwhelming, manufactured negativity simply cannot overpower it. Toxic, unfortunately, has a flawed and disjointed screenplay. It simply does not work for most parts. Yash is a superstar. He has acted well, and he is bound to learn from this experience. Everyone is allowed to fail. One unsuccessful film cannot take away what he has achieved, and I’m sure Yash will come back stronger. But as of now, Toxic is simply not working. That’s it. Your thoughts?

Toxic is a disaster but the paid negative campaign against the film is highly condemnable. There are some people within the film industry who seem to enjoy being commentators instead of concentrating on their own films. Their relevance is increasingly relegated to commenting on what is going right or wrong with the industry, while they remain hesitant and unsure about their own work. But here’s the larger point: no amount of negativity can stop a genuinely good film. Animal faced tremendous negativity, but alongside it were people proudly saying they had watched the film three, four, even five times. Once that wave of genuine audience excitement took over, nothing could stop the film from becoming a huge success. The same happened with Dhurandhar. Negative videos were made, criticism came from different quarters, but there was also a much bigger wave of people absolutely loving the film. When positive word of mouth becomes overwhelming, manufactured negativity simply cannot overpower it. Toxic, unfortunately, has a flawed and disjointed screenplay. It simply does not work for most parts. Yash is a superstar. He has acted well, and he is bound to learn from this experience. Everyone is allowed to fail. One unsuccessful film cannot take away what he has achieved, and I’m sure Yash will come back stronger. But as of now, Toxic is simply not working. That’s it. Your thoughts?

Faridoon Shahryar

48,817 просмотров • 27 дней назад

MAI Models are live on AI/ML API! We used MAI-Thinking-1 to recreate a working version of the Windows XP interface. What looked like a clean one-shot was actually powered by a CrewAI agent crew under the hood — a Planner agent broke the UI into components, a Coder agent built each piece, and a Critic agent caught the bugs and refined the output. That teamwork is what made it actually work. Then we opened Paint and drew our own Clippy. A little help from MAI-Image 2.5… and our Clippy came out alive. Look at him. He's adorable. He's helpful. He's judging your code. Clippy's back and we kinda love it. You too right? 👀 Live now on AI/ML API: MAI-Image 2.5 — microsoft/mai-image-2.5 MAI-Transcribe 1.5 — microsoft/mai-transcribe-1.5 MAI-Voice-2 — microsoft/mai-voice-2 Coming soon: MAI-Thinking-1 MAI-Code-1-Flash MAI-Image-2.5-Flash MAI-Voice-2-Flash Docs, guides & setup below

MAI Models are live on AI/ML API! We used MAI-Thinking-1 to recreate a working version of the Windows XP interface. What looked like a clean one-shot was actually powered by a CrewAI agent crew under the hood — a Planner agent broke the UI into components, a Coder agent built each piece, and a Critic agent caught the bugs and refined the output. That teamwork is what made it actually work. Then we opened Paint and drew our own Clippy. A little help from MAI-Image 2.5… and our Clippy came out alive. Look at him. He's adorable. He's helpful. He's judging your code. Clippy's back and we kinda love it. You too right? 👀 Live now on AI/ML API: MAI-Image 2.5 — microsoft/mai-image-2.5 MAI-Transcribe 1.5 — microsoft/mai-transcribe-1.5 MAI-Voice-2 — microsoft/mai-voice-2 Coming soon: MAI-Thinking-1 MAI-Code-1-Flash MAI-Image-2.5-Flash MAI-Voice-2-Flash Docs, guides & setup below

AI/ML API

539,624 просмотров • 3 месяцев назад

We're not about to speak down on Bleach Rebirth of Souls when EVO is full of Casino Fighters with Unga Bunga comeback mechanics and systems that have served to enrage their own communities. Heat is a pile of shit that has managed to piss off almost everyone playing Tekken 8. The Drive System seems to have people flipping tables and launching controllers on SF6 and the less said about Mortal Kombat 1 the better. The video below from @MoriAssce is a better representation of the game being played out in a match. Cherry picky someone doing a simple combo with a specific character for why it shouldn't be at EVO is disingenuous. EVO could do with some spice cos right now there's a lot of streamlined boring nonsense on display, not to mention the fact that it has to fill it's top 8 with games that came out before most of the current player base were even alive.

We're not about to speak down on Bleach Rebirth of Souls when EVO is full of Casino Fighters with Unga Bunga comeback mechanics and systems that have served to enrage their own communities. Heat is a pile of shit that has managed to piss off almost everyone playing Tekken 8. The Drive System seems to have people flipping tables and launching controllers on SF6 and the less said about Mortal Kombat 1 the better. The video below from @MoriAssce is a better representation of the game being played out in a match. Cherry picky someone doing a simple combo with a specific character for why it shouldn't be at EVO is disingenuous. EVO could do with some spice cos right now there's a lot of streamlined boring nonsense on display, not to mention the fact that it has to fill it's top 8 with games that came out before most of the current player base were even alive.

Mike Hollow

138,249 просмотров • 1 год назад

HIGH PROTEIN SALMON ROLL This is one of those light meals that’ll keep you full satiated, and perfect for lunch, dinner, or even a snack. Its got a mix of crunchy, creamy, and the flavors come together really well. Full recipe below! Here is how to make it: 1.Thinly slice a large English cucumber using a peeler. 2.Lay your cucumber slices out on parchment paper, slightly overlapping each other by about 1/3 inch. Gently pat down the excess moisture on with a paper or kitchen towel. make the high protein base. I mixed together 2 tbsp whipped cream cheese with 3 tablespoons of a thick greek yogurt, a small pinch of salt, and a squeeze of lemon juice. 4.Spread the mixture across the entire base of the cucumber using a spoon. 5.Add smoked salmon slices on top, everything but the bagel seasoning, and top with 3-4 avocado slices, thinly sliced red onion, super finely chopped dill + chives, some capers, and anything else you like. 6.Roll it up tight—start from the bottom, fold over the toppings, and continue to roll carefully, pressing down gently to pack the contents nice and tight. 7.Slice the roll with a sharp knife, then top with everything bagel seasoning and eat as is, or dunk into some soy sauce, sriracha mayo, or any sauce you prefer. If you make it, be sure to let me know on SHREDHAPPENS ENJOY! . . . . . #lowcarbrecipes #lowcarbrecipes #keto #ketorecipes #healthyrecipes #goodmoodfood #whatsonmyplate

HIGH PROTEIN SALMON ROLL This is one of those light meals that’ll keep you full satiated, and perfect for lunch, dinner, or even a snack. Its got a mix of crunchy, creamy, and the flavors come together really well. Full recipe below! Here is how to make it: 1.Thinly slice a large English cucumber using a peeler. 2.Lay your cucumber slices out on parchment paper, slightly overlapping each other by about 1/3 inch. Gently pat down the excess moisture on with a paper or kitchen towel. make the high protein base. I mixed together 2 tbsp whipped cream cheese with 3 tablespoons of a thick greek yogurt, a small pinch of salt, and a squeeze of lemon juice. 4.Spread the mixture across the entire base of the cucumber using a spoon. 5.Add smoked salmon slices on top, everything but the bagel seasoning, and top with 3-4 avocado slices, thinly sliced red onion, super finely chopped dill + chives, some capers, and anything else you like. 6.Roll it up tight—start from the bottom, fold over the toppings, and continue to roll carefully, pressing down gently to pack the contents nice and tight. 7.Slice the roll with a sharp knife, then top with everything bagel seasoning and eat as is, or dunk into some soy sauce, sriracha mayo, or any sauce you prefer. If you make it, be sure to let me know on SHREDHAPPENS ENJOY! . . . . . #lowcarbrecipes #lowcarbrecipes #keto #ketorecipes #healthyrecipes #goodmoodfood #whatsonmyplate

Shredhappens

20,249 просмотров • 3 месяцев назад

🏴󠁧󠁢󠁥󠁮󠁧󠁿🇬🇧 Britain. 1943. The war was being fought on every front. But the coal mines were failing. Without coal there was no steel. No ships. No weapons. A hundred thousand miners had left for the front. So Ernest Bevin announced a solution. Every tenth man called up for military service would not go to war. He would go underground. The ballot was random. No exceptions. No appeals. University students. Office workers. Farmers’ sons. Forty-eight thousand of them. They were called the Bevin Boys. None of them had ever been in a mine. The tunnels were four feet high. The coal had to be cut by hand. Six days a week. Ten hours a day. Some were injured. Some were killed. They received no campaign medals. No recognition whatsoever. But they kept the steel mills running. The ships sailing. The weapons being made. They kept Britain in the war. When the war ended, most were not released for months. Some were refused their old jobs when they came back. For decades they were not eligible for veteran status. It took until 1995 for them to receive formal recognition. Forty-eight thousand young men who went down instead of going to war. That is your history. And almost no one is telling you. 🇬🇧 Proud Of Us is funded entirely by our own community. No sponsors. No advertisers. Help us keep our history alive. Be Part Of Us. Be Proud Of Us. 🇬🇧

🏴󠁧󠁢󠁥󠁮󠁧󠁿🇬🇧 Britain. 1943. The war was being fought on every front. But the coal mines were failing. Without coal there was no steel. No ships. No weapons. A hundred thousand miners had left for the front. So Ernest Bevin announced a solution. Every tenth man called up for military service would not go to war. He would go underground. The ballot was random. No exceptions. No appeals. University students. Office workers. Farmers’ sons. Forty-eight thousand of them. They were called the Bevin Boys. None of them had ever been in a mine. The tunnels were four feet high. The coal had to be cut by hand. Six days a week. Ten hours a day. Some were injured. Some were killed. They received no campaign medals. No recognition whatsoever. But they kept the steel mills running. The ships sailing. The weapons being made. They kept Britain in the war. When the war ended, most were not released for months. Some were refused their old jobs when they came back. For decades they were not eligible for veteran status. It took until 1995 for them to receive formal recognition. Forty-eight thousand young men who went down instead of going to war. That is your history. And almost no one is telling you. 🇬🇧 Proud Of Us is funded entirely by our own community. No sponsors. No advertisers. Help us keep our history alive. Be Part Of Us. Be Proud Of Us. 🇬🇧

Proudofus.uk

148,259 просмотров • 6 месяцев назад

After everything we’ve been through, seeing this account finally come back means more than you can imagine. ❤️ We’ve been here since 2021. We built, we created, we made memories, and most importantly, we built a community that stayed with us through the highs and lows. Some of you might even remember our 1/1s from back in the day, selling for anywhere from $2K to $16K. Now we’re back. And honestly, seeing the recent NFT activity on Robinhood inspired us to bring that energy back. If you’ve been here since then, you already know. Show yourselves in the comments. After the suspension, we honestly didn’t know what the future would look like. But we’re here again and we wanted to give something back to the people who never left. 🆓 FREE MINT IN 24 HOURS 🆓 No paid mint. No money grab. No complicated requirements. Just something from us, for the community. We may be a small group right now, but we’re coming back with some of the best founders and CMs we know. The comeback starts here. ❤️‍🔥 Be ready. Share the post. Bring your people. We’re finally home. 🫡

After everything we’ve been through, seeing this account finally come back means more than you can imagine. ❤️ We’ve been here since 2021. We built, we created, we made memories, and most importantly, we built a community that stayed with us through the highs and lows. Some of you might even remember our 1/1s from back in the day, selling for anywhere from $2K to $16K. Now we’re back. And honestly, seeing the recent NFT activity on Robinhood inspired us to bring that energy back. If you’ve been here since then, you already know. Show yourselves in the comments. After the suspension, we honestly didn’t know what the future would look like. But we’re here again and we wanted to give something back to the people who never left. 🆓 FREE MINT IN 24 HOURS 🆓 No paid mint. No money grab. No complicated requirements. Just something from us, for the community. We may be a small group right now, but we’re coming back with some of the best founders and CMs we know. The comeback starts here. ❤️‍🔥 Be ready. Share the post. Bring your people. We’re finally home. 🫡

Seventh voyage

39,697 просмотров • 8 дней назад

As some of you know I have data that is not in the public domain - Burnham knows a lot and hasn't done anything but made empty promises and the IOPC woman on my case is former GMP employee hence the coverup and corruption. Neither can be trusted with everything besides I wasnt allowed to be part of any official process only GMP were. Why the IOPC would think its a good idea to further retraumatise a rape victim by assigning them a former GMP employee is beyond me. No doubt deliberate along side their paid outside 'professionals' who have written 'reports' for them. However, saddened by what I've recently learnt. 'Allegedly' 3 of the 5 officers who attended my home were promoted. 🐷1 from a temporary PS to a PS 🐷1 from a PC to CiD 🐷1 from a PC to firearms 🐷1 still a big specs wearing PC known 🤥 and pally with a certain response pair (tutors/affairs/new recruits) 👮🏼‍♂️1 raised a complaint about my treatment and as a result was bullied and later 'sacked' - I remember this PC as was a 'good egg'. On a side note, 4 officers were named as the abusers to me by a recent whistleblower - 1 of which I named to Burnham. I have all 4 names. 2 of which were promoted above and an Inspector too who was conveniently not on my redacted custody records. Random to anyone reading but will/may make more sense to GMP and the IOPC ... 'disabled toilets' before 'male changing rooms' and before entering the 'criminal justice unit' various floors at Pendleton (Independent Office for Police Conduct (IOPC) Greater Manchester Police ???) I'm assuming the PC's report re my treatment that led to bullying and 'sacking' is in your white wash report IOPC? No worries if not 😉🤫 Hypothetically: wtf do I do with the data I have not released yet and the recent nuggets of info above? Having certain names confirmed by third parties is the bit erm 😓 For the complaints bodies... nothing is kept at home but me 🙂

As some of you know I have data that is not in the public domain - Burnham knows a lot and hasn't done anything but made empty promises and the IOPC woman on my case is former GMP employee hence the coverup and corruption. Neither can be trusted with everything besides I wasnt allowed to be part of any official process only GMP were. Why the IOPC would think its a good idea to further retraumatise a rape victim by assigning them a former GMP employee is beyond me. No doubt deliberate along side their paid outside 'professionals' who have written 'reports' for them. However, saddened by what I've recently learnt. 'Allegedly' 3 of the 5 officers who attended my home were promoted. 🐷1 from a temporary PS to a PS 🐷1 from a PC to CiD 🐷1 from a PC to firearms 🐷1 still a big specs wearing PC known 🤥 and pally with a certain response pair (tutors/affairs/new recruits) 👮🏼‍♂️1 raised a complaint about my treatment and as a result was bullied and later 'sacked' - I remember this PC as was a 'good egg'. On a side note, 4 officers were named as the abusers to me by a recent whistleblower - 1 of which I named to Burnham. I have all 4 names. 2 of which were promoted above and an Inspector too who was conveniently not on my redacted custody records. Random to anyone reading but will/may make more sense to GMP and the IOPC ... 'disabled toilets' before 'male changing rooms' and before entering the 'criminal justice unit' various floors at Pendleton (Independent Office for Police Conduct (IOPC) Greater Manchester Police ???) I'm assuming the PC's report re my treatment that led to bullying and 'sacking' is in your white wash report IOPC? No worries if not 😉🤫 Hypothetically: wtf do I do with the data I have not released yet and the recent nuggets of info above? Having certain names confirmed by third parties is the bit erm 😓 For the complaints bodies... nothing is kept at home but me 🙂

(was) Seeking Justice (now) Raising Awareness

58,342 просмотров • 1 месяц назад