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Better Than Running! 🏃♂️ 💨 5-Minute Stationary Foot Stamping Exercise for Quick Results ⏰⏳

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Muscle Blueprint - Fitness | Health | Abs

143,249 subscribers

16,638 Aufrufe • vor 8 Monaten •via X (Twitter)

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This foot-stepping exercise works even better than walking or running. You can do it anywhere—just sit and practice 60 steps in 5 minutes after meals. Over time, your muscles grow stronger and your legs feel lighter. Would you try it today?
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This foot-stepping exercise works even better than walking or running. You can do it anywhere—just sit and practice 60 steps in 5 minutes after meals. Over time, your muscles grow stronger and your legs feel lighter. Would you try it today?

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Added Another one in collection Mclaren 720s Limited Edition 💨 Quick Review for it as I Drove lambo & ferrari and owns also Comfort/suspension - Far better than Lambo Little less than Ferrari 296GTB is more smooth Acceleration/Speed - Faster than huracan and ferrari 296GTB My Ferrari is quicker than Mclaren but After crossing 100Km/H McLaren Is on another level Look wise - McLaren is way to sexy 😍
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Did you know!? oregano oil works just as well, if not better than a prescribed antibiotics. Helps with: Intestinal parasites, allergies, sinus pain, arthritis, cold and flu, swine flu, earaches, and fatigue. It can be applied to the skin for skin conditions including acne, athlete's foot, oily skin, dandruff, canker sores, warts, ringworm,rosacea, and psoriasis; as well as for insect and spider bites, gum disease, toothaches, muscle pain, and varicose veins. Oregano oil is also used topically as an insect repellent. Suggested Use: Shake well before use. Adults take up to 5 drops (0.15 mL) 1 to 3 times a day, or as recommended by a physician or healthcare professional. Best taken diluted in water and in between meals. Do not take this more than 10 days. NOT for long term use.
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I turned $120 into $5,700 on copy trading just in 5 day Wallet that I copied I will send below Btw this Polymarket CLAUDE BOT turned $13 into $60,000 But first before starting to copy trading it read the whole post it is important The main rules of successful copytrading: - speed - correct setup - wallets you follow Fast transactions lead to better results I spent 2 weeks testing different copy trading strategies and spent a lot of money And found the best solution for you. ARES is faster, more secure, and easier to use than any other TG bot. Only with the help of this tool was I able to start earning If you’re interested in the settings I used to copy this bot, just leave a comment and like. I’ll send them to you in DM The wallet I copied:

AdiiX

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Each week I do two back to back long runs. I’m in the THICK of training for my next 100miler. This week, the 2 back-to-back runs equaled nearly 12hrs of running, 5:45hrs Tuesday and 6hrs Wednesday. I was in Phoenix for Thanksgiving with family so I was able to run in the desert /warm conditions just east of the city - good training for my HURT 100miler in January (on Oahu). Also very technical! Back to back long runs allow me to do two hard endurance efforts on consecutive days without the same body fatigue/impact I’d get from just doing a single day 12hr run. First 2 pics are from Day 1 run, second 2 (pic/video) from day 2. Was definitely tired by the end of day 2. But felt good most the run. Need to dial in my calories better. Had to carry all my water for nearly 6hrs for day 1. Very heavy pack (13 pounds in a Salomon 12L). Day 2 had a water refill halfway through, still good amount of weight carried, but way less than day 1 (took 48oz + calories).
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Each week I do two back to back long runs. I’m in the THICK of training for my next 100miler. This week, the 2 back-to-back runs equaled nearly 12hrs of running, 5:45hrs Tuesday and 6hrs Wednesday. I was in Phoenix for Thanksgiving with family so I was able to run in the desert /warm conditions just east of the city - good training for my HURT 100miler in January (on Oahu). Also very technical! Back to back long runs allow me to do two hard endurance efforts on consecutive days without the same body fatigue/impact I’d get from just doing a single day 12hr run. First 2 pics are from Day 1 run, second 2 (pic/video) from day 2. Was definitely tired by the end of day 2. But felt good most the run. Need to dial in my calories better. Had to carry all my water for nearly 6hrs for day 1. Very heavy pack (13 pounds in a Salomon 12L). Day 2 had a water refill halfway through, still good amount of weight carried, but way less than day 1 (took 48oz + calories).

Candice

20,556 Aufrufe • vor 1 Jahr

This is the one puff that changed it all. It caused Tesla stock to fall -9% the next day (stock is up multiples from that day), made Elon get drug tested by NASA randomly for 3 years (he passed all tests) and opened the floodgates for mainstream media to make this man look like a drug addict to cocaine, LSD, ecstasy, mushrooms, and ketamine (AKA WSJ, which often lies to get clicks & has alternative motives). But in fact, this is the furthest from the truth. Elon is NOT a drug addict, he just took one puff of marijuana with his buddy Joe Rogan on a podcast, he was having a good time. Plus it’s just weed for crying out loud, it’s proven to be less harmful than alcohol. On top of this, he has the whole world on his shoulders with immense pressure to make the future better through his companies’ products that no other company is attempting. Don’t believe what mainstream media is running with, bc they are just chasing clicks & ad $, NOT the truth. Let Elon’s actions & results speak for itself, NOT what others portray him to be. He’s a real man, with a kind heart, with honest intentions, & is fighting for a brighter future, and if he wants to live it up every now and then, so be it.
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This is the one puff that changed it all. It caused Tesla stock to fall -9% the next day (stock is up multiples from that day), made Elon get drug tested by NASA randomly for 3 years (he passed all tests) and opened the floodgates for mainstream media to make this man look like a drug addict to cocaine, LSD, ecstasy, mushrooms, and ketamine (AKA WSJ, which often lies to get clicks & has alternative motives). But in fact, this is the furthest from the truth. Elon is NOT a drug addict, he just took one puff of marijuana with his buddy Joe Rogan on a podcast, he was having a good time. Plus it’s just weed for crying out loud, it’s proven to be less harmful than alcohol. On top of this, he has the whole world on his shoulders with immense pressure to make the future better through his companies’ products that no other company is attempting. Don’t believe what mainstream media is running with, bc they are just chasing clicks & ad $, NOT the truth. Let Elon’s actions & results speak for itself, NOT what others portray him to be. He’s a real man, with a kind heart, with honest intentions, & is fighting for a brighter future, and if he wants to live it up every now and then, so be it.

Teslaconomics

538,586 Aufrufe • vor 2 Jahren

I started in video games, spent 12 years in Hollywood, then walked away in 2020— still in my late 30s and considered one of the best digital matte painters and concept artists in the industry. Worked on The Hunger Games, The Mandalorian, Westworld, Game of Thrones, Hugo, The Amazing Spider-Man, and 5 Fast & Furious films, etc. Over 30 credits to my name. Now I watch my friends panic about AI taking their jobs. But I’ve seen this before. Old-school matte painters hated us when we moved from glass to digital. We were “ruining the craft.” Now my generation is doing the same thing with AI instead of embracing it. Here’s the truth: AI won’t make Hollywood bigger. It’ll make it better. For the first time, creative people don’t need permission, budgets, or gatekeepers to bring ideas to life. Small teams. Less suits. More originality. This feels like when I first opened Photoshop—with one layer. We’re early. And in the end, more people will create than ever before. The process changed but the results will be better imo. For example, I spent 3 months on this matte painting. Now with ai, it can be done in 2 weeks. 👇🏽
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I started in video games, spent 12 years in Hollywood, then walked away in 2020— still in my late 30s and considered one of the best digital matte painters and concept artists in the industry. Worked on The Hunger Games, The Mandalorian, Westworld, Game of Thrones, Hugo, The Amazing Spider-Man, and 5 Fast & Furious films, etc. Over 30 credits to my name. Now I watch my friends panic about AI taking their jobs. But I’ve seen this before. Old-school matte painters hated us when we moved from glass to digital. We were “ruining the craft.” Now my generation is doing the same thing with AI instead of embracing it. Here’s the truth: AI won’t make Hollywood bigger. It’ll make it better. For the first time, creative people don’t need permission, budgets, or gatekeepers to bring ideas to life. Small teams. Less suits. More originality. This feels like when I first opened Photoshop—with one layer. We’re early. And in the end, more people will create than ever before. The process changed but the results will be better imo. For example, I spent 3 months on this matte painting. Now with ai, it can be done in 2 weeks. 👇🏽

cryptopainter 🐯🍌

61,849 Aufrufe • vor 5 Monaten

MLP in PyTorch by hand ✍️ ~ 7 steps walkthrough below Goal: fill in every blank in the PyTorch code to build a multi-layer perceptron. 1. Given Let us start with a code template on the left and the network it is supposed to build on the right. Every blank in the code can be worked out from the picture. 2. Linear layer We count: 3 features in, 4 features out. So the weight matrix is 4 by 3. There is an extra column for the biases, which means bias = T. 3. ReLU Let us apply the activation. ReLU crosses out the negatives, so -1 becomes 0. 4. Linear layer The input size is 4, because that is what the previous layer put out. The output size is 2. A 2 by 4 weight matrix, and this time no extra column, so bias = F. 5. ReLU We cross out the negatives again. 6. Linear layer Two features in, five out. A 5 by 2 weight matrix, with a bias column, so bias = T. 7. Sigmoid Let us finish. Sigmoid squashes the raw scores (3, 0, -2, 5, -5) into probabilities between 0 and 1. You have just implemented a three-layer deep neural network by hand. ✍️ == Story == Three years ago I gave this exercise to my students, to connect the code to the math. They found it odd. Every other AI course they were taking lived inside a Jupyter notebook, and here I was handing out paper. Three years later, my colleagues are the ones rushing to move their materials to paper. The exercise has not changed. Paper still asks the one thing a notebook lets you skip: do you actually understand what the code is doing? If you can tell me why the weight matrix is 4 by 3, and why bias is F on the second layer, you understand nn.Linear better than someone who has been copy-pasting it for a year. 💾 Save this post! #AIbyHand #PyTorch #DeepLearning
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MLP in PyTorch by hand ✍️ ~ 7 steps walkthrough below Goal: fill in every blank in the PyTorch code to build a multi-layer perceptron. 1. Given Let us start with a code template on the left and the network it is supposed to build on the right. Every blank in the code can be worked out from the picture. 2. Linear layer We count: 3 features in, 4 features out. So the weight matrix is 4 by 3. There is an extra column for the biases, which means bias = T. 3. ReLU Let us apply the activation. ReLU crosses out the negatives, so -1 becomes 0. 4. Linear layer The input size is 4, because that is what the previous layer put out. The output size is 2. A 2 by 4 weight matrix, and this time no extra column, so bias = F. 5. ReLU We cross out the negatives again. 6. Linear layer Two features in, five out. A 5 by 2 weight matrix, with a bias column, so bias = T. 7. Sigmoid Let us finish. Sigmoid squashes the raw scores (3, 0, -2, 5, -5) into probabilities between 0 and 1. You have just implemented a three-layer deep neural network by hand. ✍️ == Story == Three years ago I gave this exercise to my students, to connect the code to the math. They found it odd. Every other AI course they were taking lived inside a Jupyter notebook, and here I was handing out paper. Three years later, my colleagues are the ones rushing to move their materials to paper. The exercise has not changed. Paper still asks the one thing a notebook lets you skip: do you actually understand what the code is doing? If you can tell me why the weight matrix is 4 by 3, and why bias is F on the second layer, you understand nn.Linear better than someone who has been copy-pasting it for a year. 💾 Save this post! #AIbyHand #PyTorch #DeepLearning

Tom Yeh

13,318 Aufrufe • vor 2 Monaten

I think that fast strides are the most powerful training stimulus for runners. For a glimpse at the physiology, I want to talk about my all-time favorite study. If we were playing FMK, I’d F this study, M this study, and K any study that is not this study. Published in 2018 in Physiological Reports, it had 20 trained athletes (14 men and 6 women) complete a 40-day intervention with 10 sessions involving 5-10 x 30 seconds with 3.5 minutes recovery, in conjunction with a 36% reduction in weekly volume. Before and after the intervention, participants did a time-to-exhaustion test, two 10km tests (one with glycogen depletion) preceded by 2 x 6 minute intervals at 60% of VO2 max, and a series of muscle biopsy and blood tests. Running economy during the 10k improved by 2.1% and during the intervals at 60% of VO2 max by 1.7%. In other words, the athletes improved at both hard efforts and easy ones. Meanwhile, there was no running economy change in the glycogen-depletion 10k, leading the authors to theorize that improvements were primarily related to changes in slow-twitch muscle fibers. Expression of protein dystrophin increased, which may enhance the ST-fiber structural integrity via the actin-myosin cross-bridge, improving running economy. In addition, the expression of UCP3 decreased, which may improve mitochondrial efficiency. In fast-twitch fibers, expression of the muscle protein SERCA1 decreased by 22%, which could reduce the energy turnover during exercise. Enzymatic activity and testosterone:cortisol ratio also went up. Don’t be discouraged, I only kinda know what a few of those words mean. The point is that as researchers introduce stride-like speed sessions and measure more variables, they often see major changes that may explain why Olympians are always doing strides. So when we use the term “running economy,” we’re actually incorporating dozens of these physiological variables, some of which we can measure and some of which we can’t, from the cells to the muscles to the circulatory and cardiovascular systems. Put it together, and getting faster is a wonderfully complex algorithm. Strides are one way to help solve it 💪
0:11

I think that fast strides are the most powerful training stimulus for runners. For a glimpse at the physiology, I want to talk about my all-time favorite study. If we were playing FMK, I’d F this study, M this study, and K any study that is not this study. Published in 2018 in Physiological Reports, it had 20 trained athletes (14 men and 6 women) complete a 40-day intervention with 10 sessions involving 5-10 x 30 seconds with 3.5 minutes recovery, in conjunction with a 36% reduction in weekly volume. Before and after the intervention, participants did a time-to-exhaustion test, two 10km tests (one with glycogen depletion) preceded by 2 x 6 minute intervals at 60% of VO2 max, and a series of muscle biopsy and blood tests. Running economy during the 10k improved by 2.1% and during the intervals at 60% of VO2 max by 1.7%. In other words, the athletes improved at both hard efforts and easy ones. Meanwhile, there was no running economy change in the glycogen-depletion 10k, leading the authors to theorize that improvements were primarily related to changes in slow-twitch muscle fibers. Expression of protein dystrophin increased, which may enhance the ST-fiber structural integrity via the actin-myosin cross-bridge, improving running economy. In addition, the expression of UCP3 decreased, which may improve mitochondrial efficiency. In fast-twitch fibers, expression of the muscle protein SERCA1 decreased by 22%, which could reduce the energy turnover during exercise. Enzymatic activity and testosterone:cortisol ratio also went up. Don’t be discouraged, I only kinda know what a few of those words mean. The point is that as researchers introduce stride-like speed sessions and measure more variables, they often see major changes that may explain why Olympians are always doing strides. So when we use the term “running economy,” we’re actually incorporating dozens of these physiological variables, some of which we can measure and some of which we can’t, from the cells to the muscles to the circulatory and cardiovascular systems. Put it together, and getting faster is a wonderfully complex algorithm. Strides are one way to help solve it 💪

David Roche

73,626 Aufrufe • vor 2 Jahren