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WE BACK TO REGULARLY SCHEULED PROGRAMMING!!! Single pair and bulk orders talk to me, missed a few DMs being in Vegas! Each pair is unique, and upper rubs off to unveil another color! Sz 8, 8.5, 9, 9.5, 10, 10.5, 11 Available Ships today!!! Random RT gets $44.44

God Bless You

28,254 subscribers

40,236 Aufrufe • vor 3 Jahren •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

10 Kommentare

Profilbild von Follow Me If Youre Reading This

Follow Me If Youre Reading Thisvor 3 Jahren

Winner 🏆: @AlfredNew10 ✔️

Profilbild von typierce19

typierce19vor 3 Jahren

no big footers? 12, 12.5, or 13?

Profilbild von N1NO

N1NOvor 3 Jahren

Need a 13 or 14- paying high, please dm

Profilbild von BDJ206

BDJ206vor 3 Jahren

Looking for 12.5

Profilbild von Brad

Bradvor 3 Jahren

Every time I see these my mind says too expensive but my body says do it.

Profilbild von Felix 🇲🇽🇲🇽

Felix 🇲🇽🇲🇽vor 3 Jahren

👏🏻🙏🏻👍🏻🔥

Profilbild von Ovrnundr

Ovrnundrvor 3 Jahren

📈

Profilbild von Austin Lafferry

Austin Lafferryvor 3 Jahren

8.5 🫡

Profilbild von FBots

FBotsvor 3 Jahren

Price pls inbox size 9

Profilbild von KreativeGenius🌍

KreativeGenius🌍vor 3 Jahren

Super plug shit 🔥

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8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 13 Available now and ships to you tomorrow! A random RT will get a free pair on March 18th, release day.

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Crenshaw Skate Club SBs Only pairs in the world available DS w OG all, and the best price you’ll find these at period…. Size 9, 9.5, 10.5, 11, 11.5 Available Bulk guys DM me 🔑 Random RT will get either get some money or maybe I’ll give a pair away 👀🤷🏻‍♂️

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Another school year is in the books ✌️ This is the second year in a row that I’ve worn a different pair of sneakers every single day to teach in. And it’s been something super fun for me and my students. A little twist that I added to it this year was at least one sneaker that I wore each week was a brand new pair that I had never worn before a.k.a. UNDSing a pair each week. Should I run it back next school year?

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we would like to thank you for all the feedback you gave to the page, today we reached the incredible milestone of 10 thousand followers and to celebrate there is nothing better than raffling off a soulslike game of your choice! to participate: • follow me • like and rt this post • comment your platform • winner announced in 08/29 available for all platforms and regions!

we would like to thank you for all the feedback you gave to the page, today we reached the incredible milestone of 10 thousand followers and to celebrate there is nothing better than raffling off a soulslike game of your choice! to participate: • follow me • like and rt this post • comment your platform • winner announced in 08/29 available for all platforms and regions!

chosen undead

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🚨BUSTED: They Want You to Think George Zinn Is a Nobody. But The Receipts Say Otherwise The Man Behind Multiple Cover-Ups From 9/11 to Today Deployed for 9/11. Used in multiple covert operations & campaigns. Connected to Bush, McCain, and top donors like Manafort, Berman & Ronald Weiser. Linked to manipulating elections, running psy‑ops, and covering up inconvenient truths. Now? After Charlie Kirk’s assassination, every trace of George Zinn is being wiped off the internet. His ties to 9/11, pro‑war propaganda, Norm Coleman’s campaign, even Epstein — gone. But not before we downloaded everything. 🕵️‍♂️💻 We have the goods. We have the footage. This isn’t a random nobody. This is a career asset used in cover‑ups from 9/11 to today. 📹 Watch the full 27‑minute breakdown & archived podcast (link in comments). Share before it disappears.

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Project Constitution

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EFM FANDOM WITH JJJ #JanJingjingxFANDOMFANFIC #JanJingjing “i’ve succeeded like this because i have you.” 😭😭😭 i don’t need fanfics irl janjing is goooood enough 🦊: i choose our own pair (as the sweetest pair in BBFF), because after the concert ended, jingjing shared what was in her heart to me~ you share yourself if you want to say it! 🐯: i stayed quiet about this for a long time, p’!! so p’jan and i have been in the industry. and we have the same passion. we have been in the industry for nearly 10 years. before we could have today, we’ve gone through a lot of things. we got through those days to meet each other and have today. we share the same passion and get to act as a pair, i felt that, “we’re able to follow our dreams to a certain extent!” so it felt like, “i’ve succeeded like this because i have you.” when we’re together, i’m happy. so i told her, “i’m happy to be paired together, that we get to be together.” it’s like we’ve both been hurt a lot, you know? 🎤: what did you say, jan? “i know already~”? 555 🦊: i said, “same~”

EFM FANDOM WITH JJJ #JanJingjingxFANDOMFANFIC #JanJingjing “i’ve succeeded like this because i have you.” 😭😭😭 i don’t need fanfics irl janjing is goooood enough 🦊: i choose our own pair (as the sweetest pair in BBFF), because after the concert ended, jingjing shared what was in her heart to me~ you share yourself if you want to say it! 🐯: i stayed quiet about this for a long time, p’!! so p’jan and i have been in the industry. and we have the same passion. we have been in the industry for nearly 10 years. before we could have today, we’ve gone through a lot of things. we got through those days to meet each other and have today. we share the same passion and get to act as a pair, i felt that, “we’re able to follow our dreams to a certain extent!” so it felt like, “i’ve succeeded like this because i have you.” when we’re together, i’m happy. so i told her, “i’m happy to be paired together, that we get to be together.” it’s like we’ve both been hurt a lot, you know? 🎤: what did you say, jan? “i know already~”? 555 🦊: i said, “same~”

²²

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How will AI change writing? For clues, look at the current state of software development. Marc Andreessen says: "The new coding interface is you've got your code and a chatbot. The Copilot is reading your code and giving you real-time comments. Or the chatbot is actually writing the code for you, and then you're giving it feedback. We had this old concept in the old days called pair programming, where you'd put two coders together in front of the same keyboard, and they could talk to each other and write code together. But now you're just going to have pair programming happening much more broadly, which is human plus machine. And by the way, this hasn't happened yet, but I think the same thing will happen for every other form of writing. So I think prose writing and fiction writing and all kinds of professional authors will be working in this format where you'll have this continuous dialogue going with an AI while you're in charge of the overall product." — Marc Andreessen 🇺🇸 (Recorded in 2024)

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It’s time to get in the best shape of our lives. Week 1 of cutting, 204lbs. Honestly kinda embarrassing showing my flat, soft, pale self but when we look back in a few months imma be so proud. This was my leg day, every meal and total macros. New YouTube video is live!! Got another dropping tomorrow. Thanks for being apart of the journey with me 🙂i lift 4-5 times a week. Incline walk 30min each session. and on days off I’ll be walking/running 5-8 miles. Might take 1 day off a week. Hip Abductors - 4 Sets/12-15 Reps Calf Raises - 4 Sets/ 12-15 Single Ham Curls - 2 Sets/8-12 Leg Ext - 3 Sets/10-15 Bulg Squats - 2 Sets/8-10 Squats - 3 Sets/5-10 Light Deadlift - 3 Sets/10-12 Hanging Leg Raises - 3 Sets/10-15 #vlog #gym #fitness #explorepage✨ #diet

It’s time to get in the best shape of our lives. Week 1 of cutting, 204lbs. Honestly kinda embarrassing showing my flat, soft, pale self but when we look back in a few months imma be so proud. This was my leg day, every meal and total macros. New YouTube video is live!! Got another dropping tomorrow. Thanks for being apart of the journey with me 🙂i lift 4-5 times a week. Incline walk 30min each session. and on days off I’ll be walking/running 5-8 miles. Might take 1 day off a week. Hip Abductors - 4 Sets/12-15 Reps Calf Raises - 4 Sets/ 12-15 Single Ham Curls - 2 Sets/8-12 Leg Ext - 3 Sets/10-15 Bulg Squats - 2 Sets/8-10 Squats - 3 Sets/5-10 Light Deadlift - 3 Sets/10-12 Hanging Leg Raises - 3 Sets/10-15 #vlog #gym #fitness #explorepage✨ #diet

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Everything is making sense to me now,dear efcc I have given you guys the blueprint of my idea which you all applauded me,the whole thing I told you was recorded in a video,it’s not a coincidence that after you granted me bail few days later you brought me back to your interrogation room to talk about intellectual theft,here is the thing if she truly gave you a similar idea few 2years ago then it was recorded I think we should play it back and compare,else I feel you guys want to st3al my idea and make money off it

Everything is making sense to me now,dear efcc I have given you guys the blueprint of my idea which you all applauded me,the whole thing I told you was recorded in a video,it’s not a coincidence that after you granted me bail few days later you brought me back to your interrogation room to talk about intellectual theft,here is the thing if she truly gave you a similar idea few 2years ago then it was recorded I think we should play it back and compare,else I feel you guys want to st3al my idea and make money off it

VDM

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.JD Vance explains Trump's push for peacemaking in our policy event with Matthew Boyle: "He's fundamentally a humanitarian, and we've got 8 peace deals at this point. We're working on number 9 and number 10, and I think that, if he gets number 10 -- purely for mathematical harmony -- if he gets to 10, the Nobel Prize should be awarded to Donald J. Trump, even though he's certainly earned it with the first 8." "But I also think that there's this sense that while he wants to save lives, he also sees a world where people are engaging in commerce with one another rather than killing one another. He's a tough guy, but he's not a violent human.... 'Why don't you stop killing each other and start trading with one another?'" "If we get more peace in the world, it's good for American workers, it's good for the American people, and the president's going to keep on pursuing peace."

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The man-made famine in Gaza is ongoing with limited access to food, donate today: . And when food is available, choices are limited to mainly rice, bread and pasta. Even vegetables available in Gaza are running out as the farming season is ending. The Translating Falasteen (Translating Falasteen (Palestine)) x Sameer Project team distributed 8 pots of pasta on August 7th in Arafat City Camp and Jawazat Camp in Gaza City. Each pot cost $618 with 10% commission so the total cost was $4,944. What we provide is a band aid solution in a tragic situation. People in Gaza need more than just pasta and rice, borders need to open and at least 600 trucks per day need to get in. Keep advocating, keep disrupting and keep donating! Donate to the North campaign today: Other ways to donate include: (Paypal option, please make sure to add a message saying "North aid") (Venmo option, please make sure to add a message saying "North aid")

The Sameer Project

18,937 Aufrufe • vor 11 Monaten

I always talk about BAD corners ❌ This is a GREAT Corner ✅ 1. Tells the Cutman there is another cut to address 2. Calmly tells him it was a tight round, he had the bigger moment but can’t bank on that 3. Ice on chest and back 4. Gets eye contract from the fighter 5. Tell him what’s going wrong 6. Gives him actual technical advice on how to fix the issue without overwhelming him 7. Reiterates plan in more simple terms 8. Gives him even more simple secondary plan as a backup 9. More calm tone about being patient into the plan just laid out as to not panic fighter 10. Gets verbal responses from the fighter throughout the conversation 11. Gets pissed at Cutman for lack of vaseline in the cut

I always talk about BAD corners ❌ This is a GREAT Corner ✅ 1. Tells the Cutman there is another cut to address 2. Calmly tells him it was a tight round, he had the bigger moment but can’t bank on that 3. Ice on chest and back 4. Gets eye contract from the fighter 5. Tell him what’s going wrong 6. Gives him actual technical advice on how to fix the issue without overwhelming him 7. Reiterates plan in more simple terms 8. Gives him even more simple secondary plan as a backup 9. More calm tone about being patient into the plan just laid out as to not panic fighter 10. Gets verbal responses from the fighter throughout the conversation 11. Gets pissed at Cutman for lack of vaseline in the cut

Jacob

183,995 Aufrufe • vor 3 Monaten

We’re back for night two of Eric Church's sold-out run at Red Rocks Park & Amphitheatre. Each night’s show contains songs from across his 20 year career, so there’s not a note to be missed! Order your livestream passes and tune in live tonight at 10 pm ET: Can’t make it live? Last night’s show is available to watch on replay, and passes for all three shows will be available through July 17th. Subscribe to nugs now and save 50% off tonight’s show and stream the exclusive audio and video from 2025’s Red Rocks run.

We’re back for night two of Eric Church's sold-out run at Red Rocks Park & Amphitheatre. Each night’s show contains songs from across his 20 year career, so there’s not a note to be missed! Order your livestream passes and tune in live tonight at 10 pm ET: Can’t make it live? Last night’s show is available to watch on replay, and passes for all three shows will be available through July 17th. Subscribe to nugs now and save 50% off tonight’s show and stream the exclusive audio and video from 2025’s Red Rocks run.

Eric Church

32,677 Aufrufe • vor 23 Tagen

Translation Orm liking this Tiktok picture compilation 🫠 12 rules about love (there was only 11) 1. Truly love each other, not because you're afraid of losing one another 2. Warmth and gentleness will overcome any tension and doubt 3. Be honest/loyal to your own heart first, then you can be honest/loyal to one another 4. Listen to each other more than assume 5. Don't compare your love with others 7. Support each other even days when you don't believe in yourself 8. No matter what you go through, choose each other again and again everyday 9. Hold each others hands in the days when the world doesn't understand you 10. Tell each other 'I love you' without hesitation, because a heart isn't something to be kept quiet 11. Give each other space without letting each other go 12. Lastly, always remember that your love is valuable #LingOrm

Translation Orm liking this Tiktok picture compilation 🫠 12 rules about love (there was only 11) 1. Truly love each other, not because you're afraid of losing one another 2. Warmth and gentleness will overcome any tension and doubt 3. Be honest/loyal to your own heart first, then you can be honest/loyal to one another 4. Listen to each other more than assume 5. Don't compare your love with others 7. Support each other even days when you don't believe in yourself 8. No matter what you go through, choose each other again and again everyday 9. Hold each others hands in the days when the world doesn't understand you 10. Tell each other 'I love you' without hesitation, because a heart isn't something to be kept quiet 11. Give each other space without letting each other go 12. Lastly, always remember that your love is valuable #LingOrm

Tipsy 🇳🇿🇹🇭 (No longer Sober)

207,071 Aufrufe • vor 8 Monaten

[CLIP] by Hand ✍️ The CLIP (Contrastive Language–Image Pre-training) model, a groundbreaking work by OpenAI, redefines the intersection of computer vision and natural language processing. It is the basis of all the multi-modal foundation models we see today. How does CLIP work? Goal: 🟨 Learn a shared embedding space for text and image [1] Given ↳ A mini batch of 3 text-image pairs ↳ OpenAI used 400 million text-image pairs to train its original CLIP model. Process 1st pair: "big table" [2] 🟪 Text → 2 Vectors (3D) ↳ Look up word embedding vectors using word2vec. [3] 🟩 Image → 2 Vectors (4D) ↳ Divide the image into two patches. ↳ Flatten each patch [4] Process other pairs ↳ Repeat [2]-[3] [5] 🟪 Text Encoder & 🟩 Image Encoder ↳ Encode input vectors into feature vectors ↳ Here, both encoders are simple one layer perceptron (linear + ReLU) ↳ In practice, the encoders are usually transformer models. [6] 🟪 🟩 Mean Pooling: 2 → 1 vector ↳ Average 2 feature vectors into a single vector by averaging across the columns ↳ The goal is to have one vector to represent each image or text [7] 🟪 🟩 -> 🟨 Projection ↳ Note that the text and image feature vectors from the encoders have different dimensions (3D vs. 4D). ↳ Use a linear layer to project image and text vectors to a 2D shared embedding space. 🏋️ Contrastive Pre-training 🏋️ [8] Prepare for MatMul ↳ Copy text vectors (T1,T2,T3) ↳ Copy the transpose of image vectors (I1,I2,I3) ↳ They are all in the 2D shared embedding space. [9] 🟦 MatMul ↳ Multiply T and I matrices. ↳ This is equivalent to taking dot product between every pair of image and text vectors. ↳ The purpose is to use dot product to estimate the similarity between a pair of image-text. [10] 🟦 Softmax: e^x ↳ Raise e to the power of the number in each cell ↳ To simplify hand calculation, we approximate e^□ with 3^□. [11] 🟦 Softmax: ∑ ↳ Sum each row for 🟩 image→🟪 text ↳ Sum each column for 🟪 text→ 🟩 image [12] 🟦 Softmax: 1 / sum ↳ Divide each element by the column sum to obtain a similarity matrix for 🟪 text→🟩 image ↳ Divide each element by the row sum to obtain a similarity matrix for 🟩 image→🟪 text [13] 🟥 Loss Gradients ↳ The "Targets" for the similarity matrices are Identity Matrices. ↳ Why? If I and T come from the same pair (i=j), we want the highest value, which is 1, and 0 otherwise. ↳ Apply the simple equation of [Similarity - Target] to compute gradients of for both directions. ↳ Why so simple? Because when Softmax and Cross-Entropy Loss are used together, the math magically works out that way. ↳ These gradients kick off the backpropagation process to update weights and biases of the encoders and projection layers (red borders).

[CLIP] by Hand ✍️ The CLIP (Contrastive Language–Image Pre-training) model, a groundbreaking work by OpenAI, redefines the intersection of computer vision and natural language processing. It is the basis of all the multi-modal foundation models we see today. How does CLIP work? Goal: 🟨 Learn a shared embedding space for text and image [1] Given ↳ A mini batch of 3 text-image pairs ↳ OpenAI used 400 million text-image pairs to train its original CLIP model. Process 1st pair: "big table" [2] 🟪 Text → 2 Vectors (3D) ↳ Look up word embedding vectors using word2vec. [3] 🟩 Image → 2 Vectors (4D) ↳ Divide the image into two patches. ↳ Flatten each patch [4] Process other pairs ↳ Repeat [2]-[3] [5] 🟪 Text Encoder & 🟩 Image Encoder ↳ Encode input vectors into feature vectors ↳ Here, both encoders are simple one layer perceptron (linear + ReLU) ↳ In practice, the encoders are usually transformer models. [6] 🟪 🟩 Mean Pooling: 2 → 1 vector ↳ Average 2 feature vectors into a single vector by averaging across the columns ↳ The goal is to have one vector to represent each image or text [7] 🟪 🟩 -> 🟨 Projection ↳ Note that the text and image feature vectors from the encoders have different dimensions (3D vs. 4D). ↳ Use a linear layer to project image and text vectors to a 2D shared embedding space. 🏋️ Contrastive Pre-training 🏋️ [8] Prepare for MatMul ↳ Copy text vectors (T1,T2,T3) ↳ Copy the transpose of image vectors (I1,I2,I3) ↳ They are all in the 2D shared embedding space. [9] 🟦 MatMul ↳ Multiply T and I matrices. ↳ This is equivalent to taking dot product between every pair of image and text vectors. ↳ The purpose is to use dot product to estimate the similarity between a pair of image-text. [10] 🟦 Softmax: e^x ↳ Raise e to the power of the number in each cell ↳ To simplify hand calculation, we approximate e^□ with 3^□. [11] 🟦 Softmax: ∑ ↳ Sum each row for 🟩 image→🟪 text ↳ Sum each column for 🟪 text→ 🟩 image [12] 🟦 Softmax: 1 / sum ↳ Divide each element by the column sum to obtain a similarity matrix for 🟪 text→🟩 image ↳ Divide each element by the row sum to obtain a similarity matrix for 🟩 image→🟪 text [13] 🟥 Loss Gradients ↳ The "Targets" for the similarity matrices are Identity Matrices. ↳ Why? If I and T come from the same pair (i=j), we want the highest value, which is 1, and 0 otherwise. ↳ Apply the simple equation of [Similarity - Target] to compute gradients of for both directions. ↳ Why so simple? Because when Softmax and Cross-Entropy Loss are used together, the math magically works out that way. ↳ These gradients kick off the backpropagation process to update weights and biases of the encoders and projection layers (red borders).

Tom Yeh

67,834 Aufrufe • vor 2 Jahren