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Everyone talks about adding 5 pounds each week Linear progression is delaying progress Progress in not linear, it’s non linear Here’s my preference and how to use it yourself 👇🏼

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Official Strength Debates

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82,963 次观看 • 7 个月前 •via X (Twitter)

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Let's talk about Beta 3 animations. • Beta 3 animations are definitely smoother than Beta 2, but I would like Samsung to implement non-linear animations. • We just want it to be perfect, not just better. Share your thoughts in the comments! #OneUI6 #GalaxyS23Ultra
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Let's talk about Beta 3 animations. • Beta 3 animations are definitely smoother than Beta 2, but I would like Samsung to implement non-linear animations. • We just want it to be perfect, not just better. Share your thoughts in the comments! #OneUI6 #GalaxyS23Ultra

Tarun Vats

12,220 次观看 • 2 年前

Owl_rz yeah it super was for the PS1. A 3D stealth game released before MGS1 and plays better than it with two protagonists having their own moveset. Levels were open and you could use a grappling hook to take advantage of rooftops. Non-linear open levels 100% is immersive to this day
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Owl_rz yeah it super was for the PS1. A 3D stealth game released before MGS1 and plays better than it with two protagonists having their own moveset. Levels were open and you could use a grappling hook to take advantage of rooftops. Non-linear open levels 100% is immersive to this day

Dream's Longest Day

14,491 次观看 • 7 个月前

Training Wan 2.1-1.3B to use Qwen3-VL-2B text encoder. Doing 33% text only, 33% VL only, and 33% both. Just pretraining the two text input linear layers for now. It is amazing how quickly a model can adapt to a different text encoder. This is 25,750 steps, BS of 10.
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Training Wan 2.1-1.3B to use Qwen3-VL-2B text encoder. Doing 33% text only, 33% VL only, and 33% both. Just pretraining the two text input linear layers for now. It is amazing how quickly a model can adapt to a different text encoder. This is 25,750 steps, BS of 10.

Ostris

24,275 次观看 • 13 天前

🚀 It’s happening $KOMmunity! The Tectum Public Sale is officially LIVE on Kommunitas 🎉 💰 Price: $0.15 per $TCT ⛓️ Chain: Ethereum 📆 Listing: December 2, 2025 📌 Raise Target: $300K | Initial MC: $750K 🔒 Vesting: 30% at TGE and 4 Months Linear Vesting ⏳ 24h Refund Policy 👉 Don’t miss it: Who’s adding $TCT to their bags today? 🔥
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🚀 It’s happening $KOMmunity! The Tectum Public Sale is officially LIVE on Kommunitas 🎉 💰 Price: $0.15 per $TCT ⛓️ Chain: Ethereum 📆 Listing: December 2, 2025 📌 Raise Target: $300K | Initial MC: $750K 🔒 Vesting: 30% at TGE and 4 Months Linear Vesting ⏳ 24h Refund Policy 👉 Don’t miss it: Who’s adding $TCT to their bags today? 🔥

Kommunitas Official

27,412 次观看 • 7 个月前

MCP-apps support is coming soon to Visual Studio Code Really excited about this - IDE as agentic SDLC C&C center - devs can stay focused even more inside their work and bring pieces of it to their IDE like JIRA/linear tickets and other tools right in the IDE Tnx Connor Peet
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MCP-apps support is coming soon to Visual Studio Code Really excited about this - IDE as agentic SDLC C&C center - devs can stay focused even more inside their work and bring pieces of it to their IDE like JIRA/linear tickets and other tools right in the IDE Tnx Connor Peet

Oren Melamed

13,366 次观看 • 6 个月前

Imagine you have a point dancing in space, following three simple rules. You’d think it would eventually settle down or repeat itself, right? Nature isn't always that predictable. This is the Rössler Attractor. It’s a beautiful piece of "organized chaos." By just tweaking a few non-linear equations, we get this marvelous fractal shape, a curve that weaves and loops, forever exploring new ground without ever retracing its exact same path. Most people try to solve this with standard linear tools, but that's like trying to understand a symphony by looking at a single note. To see the real "magic" the bifurcations and the patterns, you have to embrace the non-linearity. It shows us how the smallest nudge at the start can lead to a completely different, stunningly complex world. It’s a simple set of rules, yet it generates infinite complexity. Isn't that just the kick in the head? (📹Credit; equationsinmotion / IG)
0:12

Imagine you have a point dancing in space, following three simple rules. You’d think it would eventually settle down or repeat itself, right? Nature isn't always that predictable. This is the Rössler Attractor. It’s a beautiful piece of "organized chaos." By just tweaking a few non-linear equations, we get this marvelous fractal shape, a curve that weaves and loops, forever exploring new ground without ever retracing its exact same path. Most people try to solve this with standard linear tools, but that's like trying to understand a symphony by looking at a single note. To see the real "magic" the bifurcations and the patterns, you have to embrace the non-linearity. It shows us how the smallest nudge at the start can lead to a completely different, stunningly complex world. It’s a simple set of rules, yet it generates infinite complexity. Isn't that just the kick in the head? (📹Credit; equationsinmotion / IG)

Philosophy Of Physics

39,889 次观看 • 2 个月前

Jaylen Brown talks about the progress Jayson Tatum has made in his recovery: “It looks like he’s going to be ready for opening night. But this is somebody with a crazy work ethic and passion for the game. So I’m not surprised.”
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Jaylen Brown talks about the progress Jayson Tatum has made in his recovery: “It looks like he’s going to be ready for opening night. But this is somebody with a crazy work ethic and passion for the game. So I’m not surprised.”

jb

95,824 次观看 • 9 个月前

Video is day 3, but this is how I’ve been walking for 1 week after the stem cells. It is impossible to stand straight up - it feels like there is a rod in my lower back that can’t bend. Hopefully the 2nd week shows a bit more progress.
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Video is day 3, but this is how I’ve been walking for 1 week after the stem cells. It is impossible to stand straight up - it feels like there is a rod in my lower back that can’t bend. Hopefully the 2nd week shows a bit more progress.

Killdozer

26,748 次观看 • 8 个月前

5-axis CNC machining – but different... Most 5-axis machines use serial kinematics: stack a rotary A-axis on top of a rotary B-axis, mount that on linear X/Y/Z stages. Each axis carries the weight of everything after it. Heavy and slow. 🤖 The Sprint Z3 uses parallel kinematics: three linear drives working together to create BOTH the Z-axis motion AND the A/B tilt simultaneously. No stacked rotary joints. No heavy tilting head carrying a motor on top of another motor. The entire barrel-shaped headstock moves as one unit vertically in the column, while the three internal drives handle the spindle positioning and orientation. ⚙️ How it works: Three linear actuators are arranged in a circle, all connected to the spindle platform through pivot arms. - Extend all three equally → spindle moves straight up/down (Z-axis) - Extend them different amounts → spindle tilts (A/B axes) It's using geometry instead of stacked rotary joints to create tilt 🤔 Why this is useful: Way less moving mass than serial kinematics. Less mass = faster accelerations, higher precision, better surface finish. For high-speed machining, dynamics matter more than workspace. Question: Is this a good design or overcomplicated❓
0:12

5-axis CNC machining – but different... Most 5-axis machines use serial kinematics: stack a rotary A-axis on top of a rotary B-axis, mount that on linear X/Y/Z stages. Each axis carries the weight of everything after it. Heavy and slow. 🤖 The Sprint Z3 uses parallel kinematics: three linear drives working together to create BOTH the Z-axis motion AND the A/B tilt simultaneously. No stacked rotary joints. No heavy tilting head carrying a motor on top of another motor. The entire barrel-shaped headstock moves as one unit vertically in the column, while the three internal drives handle the spindle positioning and orientation. ⚙️ How it works: Three linear actuators are arranged in a circle, all connected to the spindle platform through pivot arms. - Extend all three equally → spindle moves straight up/down (Z-axis) - Extend them different amounts → spindle tilts (A/B axes) It's using geometry instead of stacked rotary joints to create tilt 🤔 Why this is useful: Way less moving mass than serial kinematics. Less mass = faster accelerations, higher precision, better surface finish. For high-speed machining, dynamics matter more than workspace. Question: Is this a good design or overcomplicated❓

Jack 🤖

118,947 次观看 • 8 个月前

🇹🇼What a time in Taipei. Taipei Blockchain Week did not disappoint. An amazing event where we had plenty of fun along the way. From booth talks to panels to parties, it was non-stop action and great vibes throughout. Here’s how it looked through the Datagram lens 👇
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🇹🇼What a time in Taipei. Taipei Blockchain Week did not disappoint. An amazing event where we had plenty of fun along the way. From booth talks to panels to parties, it was non-stop action and great vibes throughout. Here’s how it looked through the Datagram lens 👇

Datagram Network

13,805 次观看 • 10 个月前

The mirror reflects more than form — it reveals commitment. These sessions aren’t performed for likes or validation; they’re quiet acts of self-respect. Week after week, the work compounds: not just in muscle, but in resilience, focus, and the ability to keep promises to yourself when no one else is watching. What matters is the habit forged in discomfort and the quiet confidence that follows. Progress is rarely loud. It’s measured in consistency most people never see. Keep building.
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The mirror reflects more than form — it reveals commitment. These sessions aren’t performed for likes or validation; they’re quiet acts of self-respect. Week after week, the work compounds: not just in muscle, but in resilience, focus, and the ability to keep promises to yourself when no one else is watching. What matters is the habit forged in discomfort and the quiet confidence that follows. Progress is rarely loud. It’s measured in consistency most people never see. Keep building.

Alejandra

23,834 次观看 • 3 个月前

[LSTM] by Hand ✍️ LSTMs have been the most effective architecture to process long sequences of data, until our world was taken over by the Transformers. LSTMs belong to the broader family of recurrent neural network (RNNs) that process data sequentially in a recurrent manner. Transformers, on the other hand, abandon recurrence and use self-attention instead to process data concurrently in parallel. Recently, there is renewed interest in recurrence as people realized self-attention doesn’t scale to extremely long sequences, like hundreds of thousands of tokens. Mamba is a good example to bring back recurrence. All of a sudden, it is cool to study LSTMs. How do LSTMs work? [1] Given ↳ 🟨 Input sequence X1, X2, X3 (d = 3) ↳ 🟩 Hidden state h (d = 2) ↳ 🟦 Memory C (d = 2) ↳ Weight matrices Wf, Wc, Wi, Wo Process t = 1 [2] Initialize ↳ Randomly set the previous hidden state h0 to [1, 1] and memory cells C0 to [0.3, -0.5] [3] Linear Transform ↳ Multiply the four weight matrices with the concatenation of current input (X1) and the previous hidden state (h0). ↳ The results are feature values, each is a linear combination of the current input and hidden state. [4] Non-linear Transform ↳ Apply sigmoid σ to obtain gate values (between 0 and 1). • Forget gate (f1): [-4, -6] → [0, 0] • Input gate (i1): [6, 4] → [1, 1] • Output gate (o1): [4, -5] → [1, 0] ↳ Apply tanh to obtain candidate memory values (between -1 and 1) • Candidate memory (C’1): [1, -6] → [0.8, -1] [5] Update Memory ↳ Forget (C0 .* f1): Element-wise multiply the current memory with forget gate values. ↳ Input (C’1 .* o1): Element-wise multiply the “candidate” memory with input gate values. ↳ Update the memory to C1 by adding the two terms above: C0 .* f1 + C’1 .* o1 = C1 [6] Candiate Output ↳ Apply tanh to the new memory C1 to obtain candidate output o’1. [0.8, -1] → [0.7, -0.8] [7] Update Hidden State ↳ Output (o’1 .* o1 → h1): Element-wise multiply the candidate output with the output gate. ↳ The result is updated hidden state h1 ↳ Also, it is the first output. Process t = 2 [8] Initialize ↳ Copy previous hidden state h1 and memory C1 [9] Linear Transform ↳ Repeat [3] [10] Update Memory (C2) ↳ Repeat [4] and [5] [11] Update Hidden State (h2) ↳ Repeat [6] and [7] Process t = 3 [12] Initialize ↳ Copy previous hidden state h2 and memory C2 [13] Linear Transform ↳ Repeat [3] [14] Update Memory (C3) ↳ Repeat [4] and [5] [15] Update Hidden State (h3) ↳ Repeat [6] and [7]
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[LSTM] by Hand ✍️ LSTMs have been the most effective architecture to process long sequences of data, until our world was taken over by the Transformers. LSTMs belong to the broader family of recurrent neural network (RNNs) that process data sequentially in a recurrent manner. Transformers, on the other hand, abandon recurrence and use self-attention instead to process data concurrently in parallel. Recently, there is renewed interest in recurrence as people realized self-attention doesn’t scale to extremely long sequences, like hundreds of thousands of tokens. Mamba is a good example to bring back recurrence. All of a sudden, it is cool to study LSTMs. How do LSTMs work? [1] Given ↳ 🟨 Input sequence X1, X2, X3 (d = 3) ↳ 🟩 Hidden state h (d = 2) ↳ 🟦 Memory C (d = 2) ↳ Weight matrices Wf, Wc, Wi, Wo Process t = 1 [2] Initialize ↳ Randomly set the previous hidden state h0 to [1, 1] and memory cells C0 to [0.3, -0.5] [3] Linear Transform ↳ Multiply the four weight matrices with the concatenation of current input (X1) and the previous hidden state (h0). ↳ The results are feature values, each is a linear combination of the current input and hidden state. [4] Non-linear Transform ↳ Apply sigmoid σ to obtain gate values (between 0 and 1). • Forget gate (f1): [-4, -6] → [0, 0] • Input gate (i1): [6, 4] → [1, 1] • Output gate (o1): [4, -5] → [1, 0] ↳ Apply tanh to obtain candidate memory values (between -1 and 1) • Candidate memory (C’1): [1, -6] → [0.8, -1] [5] Update Memory ↳ Forget (C0 .* f1): Element-wise multiply the current memory with forget gate values. ↳ Input (C’1 .* o1): Element-wise multiply the “candidate” memory with input gate values. ↳ Update the memory to C1 by adding the two terms above: C0 .* f1 + C’1 .* o1 = C1 [6] Candiate Output ↳ Apply tanh to the new memory C1 to obtain candidate output o’1. [0.8, -1] → [0.7, -0.8] [7] Update Hidden State ↳ Output (o’1 .* o1 → h1): Element-wise multiply the candidate output with the output gate. ↳ The result is updated hidden state h1 ↳ Also, it is the first output. Process t = 2 [8] Initialize ↳ Copy previous hidden state h1 and memory C1 [9] Linear Transform ↳ Repeat [3] [10] Update Memory (C2) ↳ Repeat [4] and [5] [11] Update Hidden State (h2) ↳ Repeat [6] and [7] Process t = 3 [12] Initialize ↳ Copy previous hidden state h2 and memory C2 [13] Linear Transform ↳ Repeat [3] [14] Update Memory (C3) ↳ Repeat [4] and [5] [15] Update Hidden State (h3) ↳ Repeat [6] and [7]

Tom Yeh

72,891 次观看 • 2 年前

Working my way back in shape. This was a 185# push press. Not close to my previous best but that doesn’t matter. Making progress each day and most importantly, it rubs off on the kiddos which will pay off for life
0:19

Working my way back in shape. This was a 185# push press. Not close to my previous best but that doesn’t matter. Making progress each day and most importantly, it rubs off on the kiddos which will pay off for life

Austin Lieberman

24,121 次观看 • 3 年前

Here’s some food for thought: Is it a coincidence that the pelvis + shoulders maintain nearly mirrored angles throughout the entire linear move, and maintain that symmetry all the way into the frames before front foot strike (FFS)? Let’s take it a step further, had to bring back this great visual: intentionally follow the tracking line drawn straight through the center of the pelvis and shoulders. You can clearly see the pelvis beginning its rotation in the latter part of the linear move, followed by a timed, delayed rotation of the torso… all happening just frames before initial ground contact. Here’s the takeaway: the “downhill” rotational planes of the pelvis and torso nearly mirror one-another. To make it relatable, the center of mass (pelvis + torso) sits firmly in the “driver’s seat”, the blueprint behind the entire mechanical sequence and organization of the extremities to inherently maximize force production and efficiency. Elite-level mechanical organization & sequencing in action.
0:12

Here’s some food for thought: Is it a coincidence that the pelvis + shoulders maintain nearly mirrored angles throughout the entire linear move, and maintain that symmetry all the way into the frames before front foot strike (FFS)? Let’s take it a step further, had to bring back this great visual: intentionally follow the tracking line drawn straight through the center of the pelvis and shoulders. You can clearly see the pelvis beginning its rotation in the latter part of the linear move, followed by a timed, delayed rotation of the torso… all happening just frames before initial ground contact. Here’s the takeaway: the “downhill” rotational planes of the pelvis and torso nearly mirror one-another. To make it relatable, the center of mass (pelvis + torso) sits firmly in the “driver’s seat”, the blueprint behind the entire mechanical sequence and organization of the extremities to inherently maximize force production and efficiency. Elite-level mechanical organization & sequencing in action.

Rob Blanc

13,773 次观看 • 3 个月前

🔈 It’s Financial Progress Month 🔈 Chime is headed to WrestleMania 41 and we want you to be there too 😝 Tell us how you’re making financial progress for a chance to win tix. One grand prize winner will receive travel for two and tickets to WrestleMania 41 in Las Vegas! How to enter: 1️⃣ Follow Chime 2️⃣ Comment how you’re making financial progress with hashtag #ImMakingIt Share all the big and small making it wins 🏆 And drop your $ChimeSign if you have one! No purch nec. Open 50 U.S. & D.C., 18+. Void where prohibited. Ends 4/7. Rules+Prize info:
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🔈 It’s Financial Progress Month 🔈 Chime is headed to WrestleMania 41 and we want you to be there too 😝 Tell us how you’re making financial progress for a chance to win tix. One grand prize winner will receive travel for two and tickets to WrestleMania 41 in Las Vegas! How to enter: 1️⃣ Follow Chime 2️⃣ Comment how you’re making financial progress with hashtag #ImMakingIt Share all the big and small making it wins 🏆 And drop your $ChimeSign if you have one! No purch nec. Open 50 U.S. & D.C., 18+. Void where prohibited. Ends 4/7. Rules+Prize info:

Chime

19,277 次观看 • 1 年前

people ask me all the time about how we use v0 internally as a design team. more specifically, how we use it to design v0 itself. over the past few months it’s become a pretty solid step in my creative process, so here’s a little thread on how i've been using it day to day ✨
0:11

people ask me all the time about how we use v0 internally as a design team. more specifically, how we use it to design v0 itself. over the past few months it’s become a pretty solid step in my creative process, so here’s a little thread on how i've been using it day to day ✨

Pran

184,780 次观看 • 1 年前

Here’s how I finally tackled my chronically tight hips! 🔄 1️⃣ The Weighted Hip Shift. This was a game changer, and adding weight allowed me to reach a deeper stretch and unlock greater mobility in my hips. 2️⃣ The Seated Good Morning. This provides a stretch in my lower back and hamstrings and strengthens these muscles through the full range of motion. It gave my posterior chain the attention it deserved — minus the stress on my spine. Together, these exercises transformed my flexibility and strength. It’s not just about lifting; it’s about training with intention 🌟 #hipmobility #stretching #mobilitytraining #backday #legworkout #legday
0:13

Here’s how I finally tackled my chronically tight hips! 🔄 1️⃣ The Weighted Hip Shift. This was a game changer, and adding weight allowed me to reach a deeper stretch and unlock greater mobility in my hips. 2️⃣ The Seated Good Morning. This provides a stretch in my lower back and hamstrings and strengthens these muscles through the full range of motion. It gave my posterior chain the attention it deserved — minus the stress on my spine. Together, these exercises transformed my flexibility and strength. It’s not just about lifting; it’s about training with intention 🌟 #hipmobility #stretching #mobilitytraining #backday #legworkout #legday

Fernando Lopez

61,053 次观看 • 1 年前

Meet Not Games 🎮 All your Telegram games, progress, items and friends — in one place. Play games. Learn how to win. Earn lootboxes, skins and cards. Some are rare. Some are unique. Use them in games or trade them on the market. It’s probably Steam for mobile games with (finally) updated interface
0:10

Meet Not Games 🎮 All your Telegram games, progress, items and friends — in one place. Play games. Learn how to win. Earn lootboxes, skins and cards. Some are rare. Some are unique. Use them in games or trade them on the market. It’s probably Steam for mobile games with (finally) updated interface

Not Games

98,283 次观看 • 1 年前

Exhibit A- The biggest and largest DayTrader on YouTube backyard Exhibit B- John Coward backyard that looks like it’s not even big enough to fit my boat This guy talks talks talks about how amazing he is but the truth he’s a scrub pretending to be successful
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Exhibit A- The biggest and largest DayTrader on YouTube backyard Exhibit B- John Coward backyard that looks like it’s not even big enough to fit my boat This guy talks talks talks about how amazing he is but the truth he’s a scrub pretending to be successful

Patrick Wieland

15,608 次观看 • 2 个月前