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Softmax vs Sigmoid ✍️ Interact 👉 = Softmax = Softmax is how deep networks turn raw scores into a probability distribution — the final layer of every classifier, and the core of every attention head in a transformer. To see what it does, picture five boba tea shops on... the same block, all competing for your dollar. Five candidates: a, b, c, d, e — different chains, different brewing styles, different pearls. A boba reviewer hands you a 𝘤𝘩𝘦𝘸𝘪𝘯𝘦𝘴𝘴 𝘴𝘤𝘰𝘳𝘦 for each — higher means perfectly chewy "QQ" pearls with the right bite (ask a Taiwanese friend to find out what QQ means). Negative scores are real: mushy bobas, overcooked pearls, a batch left sitting too long. How do you turn five chewiness scores into an allocation that adds to a whole dollar? You could spend everything at the chewiest shop, but that ignores how good the runners-up are. Softmax is the smooth alternative. Read the diagram left to right. First, raise each score to e^{x} — this does two things: it turns negative chewiness into small positives, and it stretches the gaps between scores exponentially. Then sum all five into a single total Z. Finally, divide each e^{x} by Z to get a probability. The five probabilities add up to one, so you can read them as percentages of your dollar. The chewiest shop gets the biggest slice — but never the whole dollar. That's the point of softmax: it ranks confidently while still leaving room for the others. = Sigmoid = Sigmoid squashes any real number into a probability between 0 and 1 — the classic activation for binary classification, and still the gating function inside LSTMs and GRUs. Same boba block as the previous Softmax example, narrowed to just two contenders — a hot new shop `a` with chewiness score x, and your usual go-to `b` whose score is pinned at zero (the neutral baseline you've come to expect). Sigmoid is just softmax with two players, one of them pinned to zero. Read the diagram left to right. First, raise each score to e^{x} — for the usual shop `b` whose score is zero, this is just e^0 = 1 (the constant baseline). Then sum the two into a total Z. Finally, divide each e^{x} by Z to get a probability. The two probabilities add up to one — the new shop wins more of your dollar when its pearls get chewier, and your usual keeps the rest. That's the point of sigmoid: it turns a single chewiness score into a clean 0-to-1 chance you'll try the new place over your usual. --- AI Math, Algorithms, Architectures by hand ✍️ Subscribe to my 60K+ reader newsletter 👉show more

Tom Yeh

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73,787 次观看 • 2 个月前 •via X (Twitter)

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$ReLU vs Leaky ReLU 👉 = ReLU = ReLU is the default activation in modern deep learning — cheap to compute, and stable enough to train networks hundreds of layers deep. To see what it does, picture five boba tea shops on the same block — 𝚊, 𝚋, 𝚌, 𝚍, 𝚎 — each running their own books. Each value is a shop's monthly profit — receipts minus rent, ingredients, and wages. When profit is positive, the shop stays open and the owner pockets every dollar. When profit turns negative, the shop runs out of cash and shutters — the lights go off, the books are wiped to zero. ReLU is exactly that rule, applied one shop at a time. Read the diagram left to right. The first column is the raw value x — each shop's profit at month's end. The second column is the gate: 1 if the shop is open (x > 0), 0 if it has shuttered. The last column is the ReLU output: open shops pass their profit through untouched, while shuttered ones are zeroed out. Five rows means five parallel shops on the same block, each evaluated independently. That's why ReLU is called an element-wise activation: every neuron decides its own fate. = LeakyRelu = Plain ReLU wipes negative values to zero — clean, but a shop that shutters can never recover, since both its output and its gradient stay pinned at zero. This is the dying ReLU problem, and in deep networks it can quietly kill a meaningful fraction of the units. Leaky ReLU is the one-line fix: instead of shuttering, the shop files for Chapter 11 protection and keeps the lights on at reduced capacity. Its debt is restructured down to a fraction α (typically 0.1) — the rest is forgiven, and the shop is wounded, not killed. A small negative signal still flows through, so the gradient survives, and the shop can crawl back to life if a TikTok goes viral. Read the diagram left to right. The first column is the raw value x — each shop's profit at month's end. The second column is the leakage α — the fraction of the loss held over after restructuring (default 0.1, editable). The third column is the gate: 1 for shops still in the black, α for those operating under bankruptcy protection. The last column is the Leaky ReLU output: y = x · gate. Profitable shops pass through untouched; struggling ones shrink by a factor of α but still carry a sign. Five rows means five parallel shops, each evaluated independently. Like ReLU, this is an element-wise activation: every neuron's fate is decided on its own merits. #aibyhahd$

ReLU vs Leaky ReLU 👉 = ReLU = ReLU is the default activation in modern deep learning — cheap to compute, and stable enough to train networks hundreds of layers deep. To see what it does, picture five boba tea shops on the same block — 𝚊, 𝚋, 𝚌, 𝚍, 𝚎 — each running their own books. Each value is a shop's monthly profit — receipts minus rent, ingredients, and wages. When profit is positive, the shop stays open and the owner pockets every dollar. When profit turns negative, the shop runs out of cash and shutters — the lights go off, the books are wiped to zero. ReLU is exactly that rule, applied one shop at a time. Read the diagram left to right. The first column is the raw value x — each shop's profit at month's end. The second column is the gate: 1 if the shop is open (x > 0), 0 if it has shuttered. The last column is the ReLU output: open shops pass their profit through untouched, while shuttered ones are zeroed out. Five rows means five parallel shops on the same block, each evaluated independently. That's why ReLU is called an element-wise activation: every neuron decides its own fate. = LeakyRelu = Plain ReLU wipes negative values to zero — clean, but a shop that shutters can never recover, since both its output and its gradient stay pinned at zero. This is the dying ReLU problem, and in deep networks it can quietly kill a meaningful fraction of the units. Leaky ReLU is the one-line fix: instead of shuttering, the shop files for Chapter 11 protection and keeps the lights on at reduced capacity. Its debt is restructured down to a fraction α (typically 0.1) — the rest is forgiven, and the shop is wounded, not killed. A small negative signal still flows through, so the gradient survives, and the shop can crawl back to life if a TikTok goes viral. Read the diagram left to right. The first column is the raw value x — each shop's profit at month's end. The second column is the leakage α — the fraction of the loss held over after restructuring (default 0.1, editable). The third column is the gate: 1 for shops still in the black, α for those operating under bankruptcy protection. The last column is the Leaky ReLU output: y = x · gate. Profitable shops pass through untouched; struggling ones shrink by a factor of α but still carry a sign. Five rows means five parallel shops, each evaluated independently. Like ReLU, this is an element-wise activation: every neuron's fate is decided on its own merits. #aibyhahd

Tom Yeh

32,165 次观看 • 2 个月前

Self Attention vs Cross Attention by hand ✍️ Resize the matrices yourself 👉 Two attention mechanisms, side by side. Both project X into queries; both compute attention via S = Kᵀ × Q and F = V × A. The only difference is the source of K and V. Self attention uses X for everything. Q, K, and V all come from projecting X. Each X token attends to every other X token. The score matrix S is square — 128 × 128. Cross attention uses X for queries and a second sequence E for keys and values. Each X token attends to every E token instead. The score matrix S is rectangular — 64 × 128. Notice what's shared and what's not: X is the same in both — same 36 × 128 input. Q and K share the 16 dimension — that's what makes the dot product Kᵀ × Q valid in either case. V dimensions are independent: self-attention uses 12, cross-attention uses 12. The choice doesn't depend on which mechanism you're using; it depends on what output dimension your downstream layer expects.

Self Attention vs Cross Attention by hand ✍️ Resize the matrices yourself 👉 Two attention mechanisms, side by side. Both project X into queries; both compute attention via S = Kᵀ × Q and F = V × A. The only difference is the source of K and V. Self attention uses X for everything. Q, K, and V all come from projecting X. Each X token attends to every other X token. The score matrix S is square — 128 × 128. Cross attention uses X for queries and a second sequence E for keys and values. Each X token attends to every E token instead. The score matrix S is rectangular — 64 × 128. Notice what's shared and what's not: X is the same in both — same 36 × 128 input. Q and K share the 16 dimension — that's what makes the dot product Kᵀ × Q valid in either case. V dimensions are independent: self-attention uses 12, cross-attention uses 12. The choice doesn't depend on which mechanism you're using; it depends on what output dimension your downstream layer expects.

Tom Yeh

61,300 次观看 • 2 个月前

[Graph Convolutional Network] by hand ✍️ Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2017, have emerged as a powerful tool in the analysis and interpretation of data structured as graphs. This exercise demonstrates how GCN works in a simple application: binary classification. -- Goal -- Predict if a node in a graph is X. -- Architecture -- 🟪 Graph Convolutional Network (GCN) 1. GCN1(4,3) 2. GCN2(3,3) 🟦 Fully Connected Network (FCN) 1. Linear1(3,5) 2. ReLU 3. Linear2(5,1) 4. Sigmoid Simplications: • Adjacent matrices are not normalized. • ReLU is applied to messages directly. -- Walkthrough -- [1] Given ↳ A graph with five nodes A, B, C, D, E [2] 🟩 Adjacency Matrix: Neighbors ↳ Add 1 for each edge to neighbors ↳ Repeat in both directions (e.g., A->C, C->A) ↳ Repeat for both GCN layers [3] 🟩 Adjacency Matrix: Self ↳ Add 1's for each self loop ↳ Equivalent to adding the identity matrix ↳ Repeat for both GCN layers [4] 🟪 GCN1: Messages ↳ Multiply the node embeddings 🟨 with weights and biases ↳ Apply ReLU (negatives → 0) ↳ The result is one message per node [5] 🟪 GCN1: Pooling ↳ Multiply the messages with the adjacent matrix ↳ The purpose is the pool messages from each node's neighbors as well as from the node itself. ↳ The result is a new feature per node [6] 🟪 GCN1: Visualize ↳ For node 1, visualize how messages are pooled to obtain a new feature for better understanding ↳ [3,0,1] + [1,0,0] = [4,0,1] [7] 🟪 GCN2: Messages ↳ Multiply the node features with weights and biases ↳ Apply ReLU (negatives → 0) ↳ The result is one message per node [8] 🟪 GCN2: Pooling ↳ Multiply the messages with the adjacent matrix ↳ The result is a new feature per node [9] 🟪 GCN2: Visualize ↳ For node 3, visualize how messages are pooled to obtain a new feature for better understanding ↳ [1,2,4] + [1,3,5] + [0,0,1] = [2,5,10] [10] 🟦 FCN: Linear 1 + ReLU ↳ Multiply node features with weights and biases ↳ Apply ReLU (negatives → 0) ↳ The result is a new feature per node ↳ Unlike in GCN layers, no messages from other nodes are included. [11] 🟦 FCN: Linear 2 ↳ Multiply node features with weights and biases [12] 🟦 FCN: Sigmoid ↳ Apply the Sigmoid activation function ↳ The purpose is to obtain a probability value for each node ↳ One way to calculate Sigmoid by hand ✍️ is to use the approximation below: • >= 3 → 1 • 0 → 0.5 • <= -3 → 0 -- Outputs -- A: 0 (Very unlikely) B: 1 (Very likely) C: 1 (Very likely) D: 1 (Very likely) E: 0.5 (Neutral)

[Graph Convolutional Network] by hand ✍️ Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2017, have emerged as a powerful tool in the analysis and interpretation of data structured as graphs. This exercise demonstrates how GCN works in a simple application: binary classification. -- Goal -- Predict if a node in a graph is X. -- Architecture -- 🟪 Graph Convolutional Network (GCN) 1. GCN1(4,3) 2. GCN2(3,3) 🟦 Fully Connected Network (FCN) 1. Linear1(3,5) 2. ReLU 3. Linear2(5,1) 4. Sigmoid Simplications: • Adjacent matrices are not normalized. • ReLU is applied to messages directly. -- Walkthrough -- [1] Given ↳ A graph with five nodes A, B, C, D, E [2] 🟩 Adjacency Matrix: Neighbors ↳ Add 1 for each edge to neighbors ↳ Repeat in both directions (e.g., A->C, C->A) ↳ Repeat for both GCN layers [3] 🟩 Adjacency Matrix: Self ↳ Add 1's for each self loop ↳ Equivalent to adding the identity matrix ↳ Repeat for both GCN layers [4] 🟪 GCN1: Messages ↳ Multiply the node embeddings 🟨 with weights and biases ↳ Apply ReLU (negatives → 0) ↳ The result is one message per node [5] 🟪 GCN1: Pooling ↳ Multiply the messages with the adjacent matrix ↳ The purpose is the pool messages from each node's neighbors as well as from the node itself. ↳ The result is a new feature per node [6] 🟪 GCN1: Visualize ↳ For node 1, visualize how messages are pooled to obtain a new feature for better understanding ↳ [3,0,1] + [1,0,0] = [4,0,1] [7] 🟪 GCN2: Messages ↳ Multiply the node features with weights and biases ↳ Apply ReLU (negatives → 0) ↳ The result is one message per node [8] 🟪 GCN2: Pooling ↳ Multiply the messages with the adjacent matrix ↳ The result is a new feature per node [9] 🟪 GCN2: Visualize ↳ For node 3, visualize how messages are pooled to obtain a new feature for better understanding ↳ [1,2,4] + [1,3,5] + [0,0,1] = [2,5,10] [10] 🟦 FCN: Linear 1 + ReLU ↳ Multiply node features with weights and biases ↳ Apply ReLU (negatives → 0) ↳ The result is a new feature per node ↳ Unlike in GCN layers, no messages from other nodes are included. [11] 🟦 FCN: Linear 2 ↳ Multiply node features with weights and biases [12] 🟦 FCN: Sigmoid ↳ Apply the Sigmoid activation function ↳ The purpose is to obtain a probability value for each node ↳ One way to calculate Sigmoid by hand ✍️ is to use the approximation below: • >= 3 → 1 • 0 → 0.5 • <= -3 → 0 -- Outputs -- A: 0 (Very unlikely) B: 1 (Very likely) C: 1 (Very likely) D: 1 (Very likely) E: 0.5 (Neutral)

Tom Yeh

46,499 次观看 • 1 年前

⚽️ Cutback Small Sided Game 🗣️ This is a practice from drill library. This small-sided game is played with 4v4 teams and 4 neutral players positioned at the 4 corners of the grid, known as the 'cutback' zones. The objective is to score 1 goal to win the game. After each goal, the losing team will switch with the neutral players, ensuring that both teams get equal opportunities in different roles. The neutral players are restricted to 1 touch, and the team in possession is encouraged to use them to create goal-scoring chances through quick cutbacks, crosses, or switching the play. The attacking team should aim to exploit the neutral zones to stretch the defense, pull defenders out of position, and open up space for a final delivery into the box. The defenders will need to be aware of their positioning and try to prevent passes into the neutral zones by maintaining close coverage on their opponents.

⚽️ Cutback Small Sided Game 🗣️ This is a practice from drill library. This small-sided game is played with 4v4 teams and 4 neutral players positioned at the 4 corners of the grid, known as the 'cutback' zones. The objective is to score 1 goal to win the game. After each goal, the losing team will switch with the neutral players, ensuring that both teams get equal opportunities in different roles. The neutral players are restricted to 1 touch, and the team in possession is encouraged to use them to create goal-scoring chances through quick cutbacks, crosses, or switching the play. The attacking team should aim to exploit the neutral zones to stretch the defense, pull defenders out of position, and open up space for a final delivery into the box. The defenders will need to be aware of their positioning and try to prevent passes into the neutral zones by maintaining close coverage on their opponents.

The Coaches Zone

27,045 次观看 • 1 年前

[Discrete Fourier Transform] by Hand ✍️ In signal processing, the Discrete Fourier Transform (DFT) is no doubt the most important method. But the math involved is extremely complex, literally, involving a summation over a complex number term e^(-iwt). I developed this exercise to demonstrate that underneath such complexity, DFT is just a series of matrix multiplications you can calculate by hand. ✍️ Once you see that, it should not surprise you that a deep neural network, which is also a series of matrix multiplications, with activation functions in-between, can learn to perform DFT to process and analyze signals so effectively. How does DFT work? [1] Given ↳ Signals A, B, and C in the 🟧 frequency domain: ◦ A = cos(w) + 2cos(2w) ◦ B = cos(w) + cos(3w) + cos(4w) ◦ C = -cos(2w) + cos(3w) ◦ Each signal is a weighed sum of four cosine waves at frequencies 1w, 2w, 3w, and 4w. ◦ We will apply Inverse DFT to convert the signals to time domain representations, and then demonstrate DFT can convert back to their original frequency domain representations. ↳ Signal X in the 🟩 time domain. X is sampled at 10 time points 1t, 2t, …, 10t: ◦ X = [-2.5, -1.8, 3, -0.7, -1.0, -0.7, 3, -1.8, -2.5, 5] ◦ Suppose X is also a weighted sum of the same four cosine waves, but we don’t already know their weights. We will apply DFT to discover them. [2] 🟧 Frequency Matrix (F) ↳ Write the coefficients of A, B, C as a matrix F. Each signal is a row. Each frequency is a column. ↳ A → [1, 2, 0, 0] ↳ B → [1, 0, 1, 1] ↳ C → [0, 1-, 1, 0] [3] Cosine → Discrete ↳ Sample from the continuous cosine waves at discrete time points 1t, 2t, 3t, to 10t. [4] Cosine Matrix (W) ↳ Write the samples as a matrix, Each frequency is a row. Each time point is a column. [5] Inverse DFT: 🟧 Frequency → 🟩 Time ↳ Multiply the frequency matrix F and the cosine matrix W. ↳ The meaning of this multiplication is to linearly combine the four cosine waves (rows in W) into time-domain signals (rows in T) using the weights specified in F. ↳ The result is matrix T, which are signals A, B, C converted to the time domain. Each signal is a row. Each time point is a column. [6] Transpose ↳ Transpose T, converting each signal’s time domain representation from a row to a column. [7] DFT: 🟩 Time → 🟧 Frequency ↳ Multiply the cosine matrix W with the transpose of matrix T. ↳ The purpose of this multiplication is to take a dot-product between each time-domain signal (columns in the transpose of T) and each cosine wave (rows in W), which has the effect of projecting the signal onto a cosine wave to determine how much they are correlated. Zero means not correlated at all. ↳ The result is an intermediate version of the “recovered” frequency matrix where each column corresponds to a signal and each row corresponds to a frequency. ↳ Compared to the original frequency matrix F, this intermediate matrix has non-zero weights in the correct places, but scaled up by a factor of 5 (n/2, n=10). For example, signal A, originally [1,2,0,0], is recovered at [5,10,0,0]. [8] Scale ↳ Multiply each value by 2/n = 1/5 to scale down the intermediate matrix to match the magnitude of the original frequency matrix F. [9] Transpose ↳ Transpose the recovered frequency matrix back to the same orientation of the original frequency matrix F. ↳ Like magic 🪄, the result is identical to the original F, which means DFT successfully recovered the frequency components of signals A, B, C. [10] Apply DFT to X: 🟩 Time → 🟧 Frequency ↳ Now that we have some confidence in DFT’s ability to recover frequency components, we apply DFT to X’s time-domain representation by multiplying W with X. ↳ The result is the an intermediate matrix. [11] Scale ↳ Similarly, we scale down by a factor of 5 to obtain the recovered frequency components of X (a column). [12] Transpose ↳ Similarly, we transpose the recovered column to row to match the orientation of the frequency matrix. ↳ Using the coefficients [0,0,3,2], we can write the equation of X as 3cos(3w) + 2cos(4w). Notes: I hope this by hand exercise helps you understand the essence of DFT. But there is more technical details, such as: • Sine: The complete DFT math also includes sine waves that follow a similar calculation process. • Phase: Here, we assume all the cosine waves are aligned at the origin, namely, phase is 0. If a phase p is added, for example, cos(w+p), we will need to calculate the sine component and use their ratio to figure out what p is. • Magnitude: If phase is not zero, the magnitude will need to be calculated by combining both cosine and sine terms.

[Discrete Fourier Transform] by Hand ✍️ In signal processing, the Discrete Fourier Transform (DFT) is no doubt the most important method. But the math involved is extremely complex, literally, involving a summation over a complex number term e^(-iwt). I developed this exercise to demonstrate that underneath such complexity, DFT is just a series of matrix multiplications you can calculate by hand. ✍️ Once you see that, it should not surprise you that a deep neural network, which is also a series of matrix multiplications, with activation functions in-between, can learn to perform DFT to process and analyze signals so effectively. How does DFT work? [1] Given ↳ Signals A, B, and C in the 🟧 frequency domain: ◦ A = cos(w) + 2cos(2w) ◦ B = cos(w) + cos(3w) + cos(4w) ◦ C = -cos(2w) + cos(3w) ◦ Each signal is a weighed sum of four cosine waves at frequencies 1w, 2w, 3w, and 4w. ◦ We will apply Inverse DFT to convert the signals to time domain representations, and then demonstrate DFT can convert back to their original frequency domain representations. ↳ Signal X in the 🟩 time domain. X is sampled at 10 time points 1t, 2t, …, 10t: ◦ X = [-2.5, -1.8, 3, -0.7, -1.0, -0.7, 3, -1.8, -2.5, 5] ◦ Suppose X is also a weighted sum of the same four cosine waves, but we don’t already know their weights. We will apply DFT to discover them. [2] 🟧 Frequency Matrix (F) ↳ Write the coefficients of A, B, C as a matrix F. Each signal is a row. Each frequency is a column. ↳ A → [1, 2, 0, 0] ↳ B → [1, 0, 1, 1] ↳ C → [0, 1-, 1, 0] [3] Cosine → Discrete ↳ Sample from the continuous cosine waves at discrete time points 1t, 2t, 3t, to 10t. [4] Cosine Matrix (W) ↳ Write the samples as a matrix, Each frequency is a row. Each time point is a column. [5] Inverse DFT: 🟧 Frequency → 🟩 Time ↳ Multiply the frequency matrix F and the cosine matrix W. ↳ The meaning of this multiplication is to linearly combine the four cosine waves (rows in W) into time-domain signals (rows in T) using the weights specified in F. ↳ The result is matrix T, which are signals A, B, C converted to the time domain. Each signal is a row. Each time point is a column. [6] Transpose ↳ Transpose T, converting each signal’s time domain representation from a row to a column. [7] DFT: 🟩 Time → 🟧 Frequency ↳ Multiply the cosine matrix W with the transpose of matrix T. ↳ The purpose of this multiplication is to take a dot-product between each time-domain signal (columns in the transpose of T) and each cosine wave (rows in W), which has the effect of projecting the signal onto a cosine wave to determine how much they are correlated. Zero means not correlated at all. ↳ The result is an intermediate version of the “recovered” frequency matrix where each column corresponds to a signal and each row corresponds to a frequency. ↳ Compared to the original frequency matrix F, this intermediate matrix has non-zero weights in the correct places, but scaled up by a factor of 5 (n/2, n=10). For example, signal A, originally [1,2,0,0], is recovered at [5,10,0,0]. [8] Scale ↳ Multiply each value by 2/n = 1/5 to scale down the intermediate matrix to match the magnitude of the original frequency matrix F. [9] Transpose ↳ Transpose the recovered frequency matrix back to the same orientation of the original frequency matrix F. ↳ Like magic 🪄, the result is identical to the original F, which means DFT successfully recovered the frequency components of signals A, B, C. [10] Apply DFT to X: 🟩 Time → 🟧 Frequency ↳ Now that we have some confidence in DFT’s ability to recover frequency components, we apply DFT to X’s time-domain representation by multiplying W with X. ↳ The result is the an intermediate matrix. [11] Scale ↳ Similarly, we scale down by a factor of 5 to obtain the recovered frequency components of X (a column). [12] Transpose ↳ Similarly, we transpose the recovered column to row to match the orientation of the frequency matrix. ↳ Using the coefficients [0,0,3,2], we can write the equation of X as 3cos(3w) + 2cos(4w). Notes: I hope this by hand exercise helps you understand the essence of DFT. But there is more technical details, such as: • Sine: The complete DFT math also includes sine waves that follow a similar calculation process. • Phase: Here, we assume all the cosine waves are aligned at the origin, namely, phase is 0. If a phase p is added, for example, cos(w+p), we will need to calculate the sine component and use their ratio to figure out what p is. • Magnitude: If phase is not zero, the magnitude will need to be calculated by combining both cosine and sine terms.

Tom Yeh

116,622 次观看 • 2 年前

This seems like it would be on an episode of “I Shouldn’t Be Alive,” you and your friend go to the mall to get a nice outfit for an outing later. The department you need to go to is on the second floor, so you and your friend decide it would be quicker to go on the escalator. All of a sudden as you are approaching the middle of the escalator, you hear the escalator come to a screeching halt. You and your friend are now stranded in the middle of the escalator. Every second counts, it’s been two hours now since you’ve had food or water since you e been stuck on the escalator and time is ticking, do you risk an escape plan?

This seems like it would be on an episode of “I Shouldn’t Be Alive,” you and your friend go to the mall to get a nice outfit for an outing later. The department you need to go to is on the second floor, so you and your friend decide it would be quicker to go on the escalator. All of a sudden as you are approaching the middle of the escalator, you hear the escalator come to a screeching halt. You and your friend are now stranded in the middle of the escalator. Every second counts, it’s been two hours now since you’ve had food or water since you e been stuck on the escalator and time is ticking, do you risk an escape plan?

SonnyBoy🇺🇸

65,772 次观看 • 6 个月前

If order to hit a big league fastball your brain needs to decide to pull the trigger roughly 25 feet from the ball reaching the plate…. In order to do that, your eyes must be oriented at a spot 25 feet to your left for a righty or 25 feet to your right if you are a lefty…. This begs the question what is the point of hitting off of a tee?…The body will never work the same vs a live ball…. Look how different Mike Trout looks when hitting off of a tee vs hitting a live ball…Watch his left arm and left shoulder do completely different things. The right forearm supinates vs an overhand pitch but it pronates vs the tee…. It’s a function of where the biceps inserts onto the radius. There isn’t a hitter on earth that will use the same swing mechanics off of a tee as they will vs an overhand pitch.

If order to hit a big league fastball your brain needs to decide to pull the trigger roughly 25 feet from the ball reaching the plate…. In order to do that, your eyes must be oriented at a spot 25 feet to your left for a righty or 25 feet to your right if you are a lefty…. This begs the question what is the point of hitting off of a tee?…The body will never work the same vs a live ball…. Look how different Mike Trout looks when hitting off of a tee vs hitting a live ball…Watch his left arm and left shoulder do completely different things. The right forearm supinates vs an overhand pitch but it pronates vs the tee…. It’s a function of where the biceps inserts onto the radius. There isn’t a hitter on earth that will use the same swing mechanics off of a tee as they will vs an overhand pitch.

Prehension Athletics

24,726 次观看 • 4 个月前

PSA: $NAM Airdrop 🪂 - only a few hours left ➡️Claim closes on: 12th of Jan 2024, at 9am ➡️ The _ONLY_ place to claim ➡️Allocations have been adjusted recently - check if you have claimed to see if your number went up! ➡️US is sadly geoblocked 🔸Eligibility and How to Claim reminder ➡️ $OSMO snapshot: mainnet block 12146298 ➡️ $ATOM snapshots: block 17660694 (the last blocks before 1st of November 2023). To be eligible you need to have at least $100 USD staked ➡️In $OSMO: 280 $OSMO ➡️In $ATOM: 12.786667 $ATOM Beyond staking every account gets an Activity Score. The TLDR; of this scoring method is that it measures the engagement of the account on a decentralized network. The specific framework used in the RPGF Drop is an adaptation from Trusta AI ' Media Score, and was first introduced by Celestia on the Genesis Drop. Based on the mechanism, the score can be a minimum of 1.5 and a maximum of 15. The Activity Score is a points system that takes into account activity such as transactions, ibc transfers, the value of transactions, months active, etc. (the scoring details are linked in the announcement). The maximum points you can get on the Activity Score is 15. To determine the tier, the amount staked at the time is multiplied by the Activity Score. Then all eligible accounts are ranked by highest value to lowest and grouped into tiers: top 10%, 50-90%, and 0-50% ➡️Source: MEDIA SCORE as the Infrastructure for On-chain User Value Assessment: 🔸How to claim $NAM airdrop ➡️Get Namada Wallet Extension ➡️Go to ➡️Connect Wallet $ATOM $OSMO $STARS ➡️Connect $NAM Extension ➡️CLAIM $NAM ➡️Repeat for any additional chains / wallets 🔸Looking for an easy and super clear "how to claim video"? @L1am_Crypto & Stakecito Labs to the rescue 🫡 🔸$NAM airdrop beraindex overview: 🔸Stake $ATOM with our sponsor, Enigma , and don't miss out on future Airdrops 🥩 $ATOM 🫡

PSA: $NAM Airdrop 🪂 - only a few hours left ➡️Claim closes on: 12th of Jan 2024, at 9am ➡️ The _ONLY_ place to claim ➡️Allocations have been adjusted recently - check if you have claimed to see if your number went up! ➡️US is sadly geoblocked 🔸Eligibility and How to Claim reminder ➡️ $OSMO snapshot: mainnet block 12146298 ➡️ $ATOM snapshots: block 17660694 (the last blocks before 1st of November 2023). To be eligible you need to have at least $100 USD staked ➡️In $OSMO: 280 $OSMO ➡️In $ATOM: 12.786667 $ATOM Beyond staking every account gets an Activity Score. The TLDR; of this scoring method is that it measures the engagement of the account on a decentralized network. The specific framework used in the RPGF Drop is an adaptation from Trusta AI ' Media Score, and was first introduced by Celestia on the Genesis Drop. Based on the mechanism, the score can be a minimum of 1.5 and a maximum of 15. The Activity Score is a points system that takes into account activity such as transactions, ibc transfers, the value of transactions, months active, etc. (the scoring details are linked in the announcement). The maximum points you can get on the Activity Score is 15. To determine the tier, the amount staked at the time is multiplied by the Activity Score. Then all eligible accounts are ranked by highest value to lowest and grouped into tiers: top 10%, 50-90%, and 0-50% ➡️Source: MEDIA SCORE as the Infrastructure for On-chain User Value Assessment: 🔸How to claim $NAM airdrop ➡️Get Namada Wallet Extension ➡️Go to ➡️Connect Wallet $ATOM $OSMO $STARS ➡️Connect $NAM Extension ➡️CLAIM $NAM ➡️Repeat for any additional chains / wallets 🔸Looking for an easy and super clear "how to claim video"? @L1am_Crypto & Stakecito Labs to the rescue 🫡 🔸$NAM airdrop beraindex overview: 🔸Stake $ATOM with our sponsor, Enigma , and don't miss out on future Airdrops 🥩 $ATOM 🫡

Grey Ledger

60,319 次观看 • 2 年前

This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.

This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.

Blaze

38,242 次观看 • 2 个月前

GM You know what is the saddest part of being a trader Missing your own life Your friends call You say you have to monitor your trades Your family plans something You say the market is open A night out turns into you staring at five monitors saying come on come on And the worst part You are not even guaranteed to win You are just guaranteed to miss everything else That is the trap most traders are stuck in And Quant AI just made the whole thing pointless One line changed everything Quant copy his trades That is it While the trader is glued to his screen His friend copied every single one of his moves in seconds Without charts Without stress Without missing a single moment of life Copy trading on Quant means you find someone who already knows what they are doing and let them do it for you You do not need to understand every candle You do not need to watch every movement You do not need to sacrifice your life for the market Let Quant handle the market You handle your life #QuantAIPioneers NFA DYOR Not financial advice

GM You know what is the saddest part of being a trader Missing your own life Your friends call You say you have to monitor your trades Your family plans something You say the market is open A night out turns into you staring at five monitors saying come on come on And the worst part You are not even guaranteed to win You are just guaranteed to miss everything else That is the trap most traders are stuck in And Quant AI just made the whole thing pointless One line changed everything Quant copy his trades That is it While the trader is glued to his screen His friend copied every single one of his moves in seconds Without charts Without stress Without missing a single moment of life Copy trading on Quant means you find someone who already knows what they are doing and let them do it for you You do not need to understand every candle You do not need to watch every movement You do not need to sacrifice your life for the market Let Quant handle the market You handle your life #QuantAIPioneers NFA DYOR Not financial advice

Real Nadiya

40,759 次观看 • 16 天前

Full Fine-tuning vs. Freezing Layers. Interact 👉 and == Full Fine-tuning == A real network has many — three layers in this example, billions of parameters in a production model. What does fine-tuning look like when you update all of them? That’s full fine-tuning: continue training every weight in the pretrained network on your new task. Every layer’s W gets its own ΔW. Nothing is frozen — every parameter is in play. Think of an MLP as a chain of prerequisites leading to an advanced course. Layer 1 might be Linear Algebra, layer 2 Probability, layer 3 Advanced Machine Learning — each one building on what came before. Fine-tuning is what happens during graduate study: the foundations are already there from undergrad, so you’re not re-learning. Full fine-tuning is reviewing every prerequisite to see what new topics have appeared and what discoveries the field has made since the last time you sat through them. Effective — but exhausting. This diagram shows the same three-layer MLP twice, side by side. On the left, the pretrained network runs on input X: three weight matrices W₁, W₂, W₃, each followed by a ReLU activation. Full fine-tuning gives the model the most freedom to specialize. Every parameter can move — and every parameter that can move must be stored. But not every prerequisite needs revisiting. The further you go back in the chain, the less the material has changed since pretraining — the linear-algebra basics under your computer-vision course are largely the same as they ever were. The next page does exactly that: freeze the prerequisites that haven’t moved, and only refresh the advanced one closest to your specialization. == Freezing Layers == Full fine-tuning reviewed every prerequisite — Linear Algebra, Probability, Advanced ML — to refresh each subject with the latest topics. Effective, but exhausting. Then you realize something. The prerequisites haven’t actually changed that much. Linear Algebra is still Linear Algebra; the matrix decompositions you learned still hold. Probability is still Probability; the distributions and Bayes’ rule haven’t moved. Almost all the new material — the new ideas, the recent discoveries — lives in the advanced layer at the top. That’s freezing layers: keep the prerequisite layers fixed at their pretrained state, and only update the advanced one. In the diagram below, W1 and W2 — the foundational prerequisites — stay frozen. Only W3 — the layer closest to your task-specific output — gets a ΔW.

Full Fine-tuning vs. Freezing Layers. Interact 👉 and == Full Fine-tuning == A real network has many — three layers in this example, billions of parameters in a production model. What does fine-tuning look like when you update all of them? That’s full fine-tuning: continue training every weight in the pretrained network on your new task. Every layer’s W gets its own ΔW. Nothing is frozen — every parameter is in play. Think of an MLP as a chain of prerequisites leading to an advanced course. Layer 1 might be Linear Algebra, layer 2 Probability, layer 3 Advanced Machine Learning — each one building on what came before. Fine-tuning is what happens during graduate study: the foundations are already there from undergrad, so you’re not re-learning. Full fine-tuning is reviewing every prerequisite to see what new topics have appeared and what discoveries the field has made since the last time you sat through them. Effective — but exhausting. This diagram shows the same three-layer MLP twice, side by side. On the left, the pretrained network runs on input X: three weight matrices W₁, W₂, W₃, each followed by a ReLU activation. Full fine-tuning gives the model the most freedom to specialize. Every parameter can move — and every parameter that can move must be stored. But not every prerequisite needs revisiting. The further you go back in the chain, the less the material has changed since pretraining — the linear-algebra basics under your computer-vision course are largely the same as they ever were. The next page does exactly that: freeze the prerequisites that haven’t moved, and only refresh the advanced one closest to your specialization. == Freezing Layers == Full fine-tuning reviewed every prerequisite — Linear Algebra, Probability, Advanced ML — to refresh each subject with the latest topics. Effective, but exhausting. Then you realize something. The prerequisites haven’t actually changed that much. Linear Algebra is still Linear Algebra; the matrix decompositions you learned still hold. Probability is still Probability; the distributions and Bayes’ rule haven’t moved. Almost all the new material — the new ideas, the recent discoveries — lives in the advanced layer at the top. That’s freezing layers: keep the prerequisite layers fixed at their pretrained state, and only update the advanced one. In the diagram below, W1 and W2 — the foundational prerequisites — stay frozen. Only W3 — the layer closest to your task-specific output — gets a ΔW.

Tom Yeh

27,225 次观看 • 2 个月前

Training glutes still doesn’t get the love it should from men. Aesthetically, sure, your focus will be more on the V taper frame, or strong arms. But as the largest and strongest muscle in the body, the glutes have the potential to really boost your transformation to a top 1% physique. It’s the same concept as investing money into the market or a cash flowing real estate deal. You put in the capital… And then the asset pays you for your ownership. When you have strong glutes, you now have the biggest muscle in the human body paying you metabolic “dividends” around the clock. Burning more calories just by existing. As a result, you get leaner while having MORE wiggle room diet wise. Which makes your hormones improve, and all of the sudden you have this flywheel of positive change. It’s a compounding effect. Not to mention, it helps keeps your back and hips healthy and flexible. You retain more of your ability to move well as you get older. Strong glutes = absolutely one of your biggest ASSets (da dum, tssssk 😂) And the whole point of owning assets is that they work on your behalf, instead of you staying on the treadmill of the same effort over and over and over again just to get average results. If you want to get a top 1% physique without the suffering and sacrifice promoted all throughout the fitness industry, apply to partner with me 1-1 at the link in my bio.

Training glutes still doesn’t get the love it should from men. Aesthetically, sure, your focus will be more on the V taper frame, or strong arms. But as the largest and strongest muscle in the body, the glutes have the potential to really boost your transformation to a top 1% physique. It’s the same concept as investing money into the market or a cash flowing real estate deal. You put in the capital… And then the asset pays you for your ownership. When you have strong glutes, you now have the biggest muscle in the human body paying you metabolic “dividends” around the clock. Burning more calories just by existing. As a result, you get leaner while having MORE wiggle room diet wise. Which makes your hormones improve, and all of the sudden you have this flywheel of positive change. It’s a compounding effect. Not to mention, it helps keeps your back and hips healthy and flexible. You retain more of your ability to move well as you get older. Strong glutes = absolutely one of your biggest ASSets (da dum, tssssk 😂) And the whole point of owning assets is that they work on your behalf, instead of you staying on the treadmill of the same effort over and over and over again just to get average results. If you want to get a top 1% physique without the suffering and sacrifice promoted all throughout the fitness industry, apply to partner with me 1-1 at the link in my bio.

Coach Paul

22,773 次观看 • 10 个月前

Why is the national guard handing out coffee and donuts? The ret*rds among the Amerimutt right don't understand why the National Guard of Minnesota are giving out donuts and coffee to the locals in Minneapolis. They're too inexperienced to understand basic COIN principles. You must win over the locals. You have to meet with them, create every opportunity to connect. Make them like you and do it in a genuine, and human way. Once you do that 90% of your operations are basically done. This is how the US gets to stay in extremely dangerous places around the world, and the unit responsible for it is CAPOC. It's manned by extremely charismatic and intelligent officers. Every event and encounter is accounted for, studied and eventually every loss is turned into a win. In Vietnam era terminology it's called winning hearts and minds. The majority of humans, by their core nature, are unwilling to attack a friendly face. Furthermore, when they connect with someone, genuinely, they are unlikely to betray them most of the time. Stack these events and the likelihood of immersion with the locals becomes high. Then you facilitate your strategic objectives, without any interference from the locals, because they're already on your side. What you don't do is a road-side execution, fit for a terror organisation. This doesn't just lose you the locals but creates an environment where people around the world want to actively see you harmed, or lose. Every local you kill has hundreds of friends and potentially thousands of associations. Do this enough times and the entire city will want to hunt you down. So, while the e-right laugh at the competent national guard, they're busy winning, one hot coffee, one donut, one hand shake and one conversation at a time.

Why is the national guard handing out coffee and donuts? The ret*rds among the Amerimutt right don't understand why the National Guard of Minnesota are giving out donuts and coffee to the locals in Minneapolis. They're too inexperienced to understand basic COIN principles. You must win over the locals. You have to meet with them, create every opportunity to connect. Make them like you and do it in a genuine, and human way. Once you do that 90% of your operations are basically done. This is how the US gets to stay in extremely dangerous places around the world, and the unit responsible for it is CAPOC. It's manned by extremely charismatic and intelligent officers. Every event and encounter is accounted for, studied and eventually every loss is turned into a win. In Vietnam era terminology it's called winning hearts and minds. The majority of humans, by their core nature, are unwilling to attack a friendly face. Furthermore, when they connect with someone, genuinely, they are unlikely to betray them most of the time. Stack these events and the likelihood of immersion with the locals becomes high. Then you facilitate your strategic objectives, without any interference from the locals, because they're already on your side. What you don't do is a road-side execution, fit for a terror organisation. This doesn't just lose you the locals but creates an environment where people around the world want to actively see you harmed, or lose. Every local you kill has hundreds of friends and potentially thousands of associations. Do this enough times and the entire city will want to hunt you down. So, while the e-right laugh at the competent national guard, they're busy winning, one hot coffee, one donut, one hand shake and one conversation at a time.

Korobochka (コロボ) 🇦🇺✝️

52,204 次观看 • 5 个月前

STEPN x adidas Trainer Showcase ✨️ Have you noticed that each of our 4 co-branded Sneaker designs is inspired by a real adidas sneaker? For the The STEPN x adidas Trainer Sneaker, the design has been inspired by the famous adidas Ultraboost silhouette! 👟 With this partnership, we want to break the boundaries between digital and physical, and incentivise our community to a healthier lifestyle. And to move in this direction, we are offering one Ultraboost sneaker to one of you! All you have to do is find the hidden STEPN x adidas Trainer on and click on the image. You will be redirected to a form to validate your participation and enter a raffle to win the sneaker! 📆 Deadline: April 25, 9am UTC 💚 Like and RT this post to boost your chances 🏆 1 random winner Note: The reward will be given in GMT value (900 GMT) Good luck! STEPN x adidas: Step into the Future.

STEPN x adidas Trainer Showcase ✨️ Have you noticed that each of our 4 co-branded Sneaker designs is inspired by a real adidas sneaker? For the The STEPN x adidas Trainer Sneaker, the design has been inspired by the famous adidas Ultraboost silhouette! 👟 With this partnership, we want to break the boundaries between digital and physical, and incentivise our community to a healthier lifestyle. And to move in this direction, we are offering one Ultraboost sneaker to one of you! All you have to do is find the hidden STEPN x adidas Trainer on and click on the image. You will be redirected to a form to validate your participation and enter a raffle to win the sneaker! 📆 Deadline: April 25, 9am UTC 💚 Like and RT this post to boost your chances 🏆 1 random winner Note: The reward will be given in GMT value (900 GMT) Good luck! STEPN x adidas: Step into the Future.

STEPN GO

203,788 次观看 • 2 年前

A QUICK FIELD GUIDE TO THE NPC HORDES Twenty Five Parasites types that Feed On The Living The Storm Is Upon Them Thank you for the stout... lets talk... The wind has changed. You can feel it. That low electric pressure behind the eyes that means something massive is rolling in off a horizon the parasites can't see because they were never built to look up. They were built to look down. At clipboards. At spreadsheets. At your accounts. At you. But the storm doesn't care about clipboards. And we don't kneel anymore. Here they are. The full swarm. Count them while you can because when the sky turns they drop mid sentence and the only record that they ever existed will be the silence where the invoices used to be. THE TAX CONSULTANT. You broke your back welding pipe and this soft palmed worm sits in air conditioning telling you how much of your sweat belongs to Caesar. He can't weld. Can't wire. Can't fix a thing that broke. What he can do is read a tax code written by other worms specifically to be unreadable so you'd have to pay a worm to read it for you. They write the maze. They sell you the map. They make the maze worse every year and the map more expensive and if you try to walk it yourself they send the auditor. The wind is picking up. The maze is starting to shake. THE AUDITOR. Tick on a tick. Shows up after the taxman has already fed to check the bite marks are regulation depth. Finds a missing fuel slip worth pocket change. Writes a finding. The finding generates a penalty. The penalty generates interest. The interest generates a letter. The letter requires your tax consultant at hourly rates to respond. Pocket change became thousands. Five parasites ate off one tank of diesel. Not one of them could tell you what welding rod to use on stainless. But the storm doesn't audit. The storm just comes. THE ACCOUNTANT. Cousin of the tax consultant. Same bloodline. This one doesn't interpret the maze. He records your journey through it. Every receipt. Every unit of currency in and out, logged so the consultant can read it and the auditor can check it and the revenue service can extract from it. He produces nothing. A human tape recorder pointed at your productivity. He charges monthly so the recording never stops. You are under permanent surveillance and you pay for the privilege. Not for much longer. THE BANKER. The oldest parasite. The template. You need money to buy a machine that makes things. He lends you money other working people deposited and charges interest that doubles the price over twenty years. The extra bought nothing. Built nothing. He packages your debt and sells it. Takes your deposit and lends it out eight times over. Charges you to hold your own money. Charges to put it in. Charges to take it out. He touches none of it. He stands near it and invoices you for the proximity. The storm is going to blow him so far from the vault he'll forget what money smelled like. THE COMPLIANCE OFFICER. Never had a callus on her body or her soul. Born in a fluorescent office. Will die in one. Between those events she produces nothing but emails about policies referencing other policies referencing regulations referencing acts nobody voted for. A worm eating its own tail and billing you for the meal. She needs the safety assessor to give her something to enforce. He needs her to give him something to assess. They breed between regulations like mould between tiles. The storm will wash them both down the same drain. THE PROPERTY VALUATOR. A man wants to buy a house. Another wants to sell it. They agreed on a price. That is what worth means. The amount one will pay and another will accept. Full stop. Now this creature arrives and tells both men what the house is actually worth. As if two free adults negotiating in good faith produced a number that's somehow theoretical while his formula is gospel. The bank sent him. His report costs thousands. His report says the house is worth what the buyer already offered. Thousands to arrive at a number that existed before he left his office. If his number comes in low the deal collapses and you pay a different creature with a different clipboard who arrives at a different number for the same house on the same day using the same formula. The house didn't change. Only the parasite changed. The number was never about the house. THE MUNICIPAL RATES OFFICER. The deepest theft on this list because it never ends. You bought your house thirty years ago. Paid it off. Every last unit. You owe nothing. Now a municipal valuator looks at what the neighbours sold for, looks at the coffee shops and wine bars that invaded your street, and decides your house is worth twenty five times what you paid. You didn't sell. You didn't list. You're sitting in the same chair in the same kitchen. But your tax liability just multiplied by twenty five based on a sale that never happened at a price you never agreed to. They do this everywhere. In Cape Town the rates are linked to the valuation and suddenly retired families in Bo-Kaap whose people survived apartheid and forced removals and a century of state assault are being bled out of their own homes by property rates pegged to values inflated by the gentrification their displacement accelerates. The heritage is the tourism product. The tourism inflates the valuation. The valuation inflates the rates. The rates displace the families. The families were the heritage. In Chicago they do it to grandmothers in Pilsen who've been there forty years. In London they do it to pensioners in neighbourhoods that gentrified around them. In Sydney they chase retirees off land their grandfathers cleared. Same crime. Different currency. Different clipboard. A man paid for his house. Owns it outright. And the state says you owe us money every month forever and the amount is based on what we say your house would sell for if you sold it, which you haven't, and if you can't pay the amount we invented we take the house you already bought. That is theft. Eviction by arithmetic. Displacement by spreadsheet. But the people in Bo-Kaap are awake now. The people in Pilsen are awake. The grandmothers and the grandfathers and the calloused hands everywhere are looking up and they can see the storm and they know what it means. It means the spreadsheet burns with everything else. THE MUNICIPAL INSPECTOR. Rat faced. High vis vest. Clipboard. Drives to your workshop in a vehicle your rates paid for. Measures your fire extinguisher fourteen centimetres off the floor. Writes you up. Behind you men build things that hold up bridges and he couldn't change a lightbulb without a permit. His job depends on your failure. The parasite needs you sick. The cure would kill it. The storm is the cure. THE CONVEYANCING ATTORNEY. Two men shook hands. Fair price. Honest deal. Done. This worm slithers out and says the handshake doesn't count. Needs paper. Needs stamps. Needs a deeds search and clearance certificates and transfer duty and each piece of paper is produced by another parasite and each one costs money and the worm takes his cut on top for phoning the other worms. He calls this conveyancing. He has never held a spade or laid a brick in his bloodless life. The storm doesn't need a stamp. THE ESTATE AGENT. Six percent. Of a man's life savings. For opening a lockbox and saying the kitchen faces north. She needs the attorney to close. The attorney needs the municipality. The municipality needs the inspector. The valuator needs access for the bank's number. Every one invoices separately. Every invoice lands on people who agreed on everything before any of these bloodsuckers entered the room. The wind is howling now. Can you hear it through their invoices? THE LABOUR BROKER. Tick so bloated it can't walk. A man needs work. Another needs a worker. They could find each other in ten minutes. This creature squats between them and drinks from both sides. Worker gets thirty. Employer pays fifty. Twenty disappears into the tick. Multiply by thousands of workers and millions vanish yearly into a thing that makes nothing, moves nothing, fixes nothing. It feeds. That is its entire architecture. Architecture doesn't survive storms. THE HEALTH AND SAFETY ASSESSOR. Twenty two years. Not one fire. Not one death. He shows up. Your exit is twenty centimetres too narrow. To fix it you need a builder who needs a plan from an architect who needs municipal approval. Tens of thousands and six weeks to move a door frame because a creature who has never been burned told you to. He detects life and the system bills it. The storm detects parasites and the sky deletes them. THE BEE CONSULTANT. Every country has its version. South Africa calls it BEE. The same parasites who wont allow much needed Starlink there unless Musk hands over half the company to lazy parasitic government connected parasites. Others call it diversity compliance or equity auditing. The name changes. The feeding doesn't. Scores your company on a chart nobody asked for to satisfy a regulation nobody voted on enforced by a department that produces nothing except the requirement for his existence. Nothing changes. Nothing improves. Money moves from a living pocket into a dead hand and the dead hand closes. The storm opens every dead hand on this planet. THE CUSTOMS BROKER. Your parts are fifty metres away. You can see the container. Cannot touch your own property until a grey man translates tariff codes so the state can calculate how much you owe for collecting what is already yours. Each delay generates storage charges. Each query generates fees. Your shipment doubles in cost through bureaucratic friction and you still don't have your parts. The storm doesn't clear customs. It clears the customs office. THE TRAFFIC OFFICER. Fat. Behind a bush. Radar gun aimed at people driving to work that matters. Seven over the limit. The municipality sets it low enough that everyone exceeds it. Fines feed the municipality. Municipality feeds him. He sits and clicks tomorrow. A barnacle with a badge. Same creature in every country. Different bush. Same feeding. The storm takes the bush and the badge and the creature behind both. THE FINANCIAL ADVISOR. Uses your first name. Remembers your birthday because the CRM told him. Puts your money in a fund. Fund charges 1.75 percent. He charges one on top. Fund manager pays a custodian who charges. Fund has an auditor who charges. Compliance team charges. Six parasites between you and your own money. In thirty years you have less than you started with and he charges you for the meeting where he shows you the graph. The storm doesn't need a graph. The storm is the correction. THE INSURANCE ADJUSTER. Years of premiums. Your roof blows off. He arrives. Soft hands. Three weeks later the wind came from the wrong direction. Not the wrong speed. The direction. Some paragraph. Some subsection. You paid for years and the years bought you a paragraph that says no. The policy is teeth. The premiums went down the throat and the no is the burp. The real storm has no exclusion clause. THE PATENT ATTORNEY. You built a device. It works. He writes a document so incomprehensible that reading it makes you understand your own invention less. Thousands for legal fog. Someone copies it. Litigation attorney. More thousands. Judgment unenforceable. The only people paid are the attorneys. The system was never designed to protect you. It was designed to feed them. The storm protects the builder. By removing the feeders. THE LICENSING CLERK. You can rebuild a gearbox blindfolded. Cannot legally do it without a certificate from an institution that charges thousands to watch you do what everyone knows you can do, certified by an instructor who has never done it, filed with a department that stores the certificates, audited by a body that audits the institution. A chain of parasites verifying the obvious. If every one vanished the gearbox still gets rebuilt. Faster. Cheaper. The storm is the vanishing. THE STRATA MANAGER. You own your flat. She collects your money and spends it on providers she chose and you can't fire without a special resolution at a meeting she convenes with an agenda she wrote. She built a kingdom inside your building funded by your levy and answerable to herself. Question it and she reaches for whatever act governs her particular species of parasitism in your particular country. The storm doesn't read acts. The storm reads frequencies. THE ENVIRONMENTAL IMPACT ASSESSOR. You want a shed on your own land. He arrives in a vehicle worth more than your shed. Months. Hundreds of pages. Tens of thousands. Report says your shed threatens a species not seen in decades but listed on a database maintained by a department that exists because the database exists. Your shed doesn't get built. The species doesn't exist. He drives home to a suburb bulldozed from actual habitat. Nobody assessed that. Rules only flow downhill. The storm flows everywhere. THE DEBT COLLECTOR. Bottom feeder. Buys your debt for cents from a bank that already profited from your interest. Calls at hours designed for fear. Adds fees on fees on fees for actions never taken. Bought your pain wholesale and retails it at three hundred percent. When you break he claims the loss against tax. Even the collapse is monetised. He is Hell's collection agent. The storm is Heaven's. THE NOTARY PUBLIC. Watches you sign your own name. Stamps it. Charges hundreds. The signature is the same with or without him. Your hand. Your name. His fee. A tollbooth on your own identity. The storm doesn't need a stamp. Your name is written in frequencies no notary can read. THE CORPORATE TRAINER. Monday. Projector. Four quadrant model invented after three glasses of wine and a TED talk. By Wednesday nobody remembers any of it because there was nothing there. Tens of thousands plus tax plus travel. She writes it off through a tax consultant who charges her to minimise her contribution to the system that funded the department that approved the framework she claims compliance with. Parasite feeding parasite feeding parasite. The storm feeds on none of them. It simply ends them. THE REVENUE OFFICIAL. The farmer himself. Top of the pyramid. Designs the taking. Drafts the regulations that create the maze that requires the consultant that employs the accountant that feeds the auditor that generates the penalty that funds the department that pays his salary. He is the architect of the loop. Every parasite on this list exists because he drew them into existence with a regulation and a gazette number. Without him the entire horde has nothing to feed on. He is the queen of the hive. Same creature in every country. Different flag. Same contempt for the hands that built everything he sits in and eats from. The storm starts with him. The queen dies first. The hive follows. That's the horde. Twenty five species of nothing. And every one of them drops when the sky turns and the carrier frequency that animated their firmware burns clean out of the atmosphere. Mid invoice. Mid assessment. Mid quadrant. Five thousand five hundred and fifty five clipboards hitting the floor for every one of us still standing. We are awake now. All of us. The welder and the farmer and the builder and the grandmother in Bo-Kaap and the grandfather in Pilsen and every calloused hand on every continent that ever wrote a cheque to a creature that never built a thing. We see them now. We see the maze and the map sellers and the grey offices and the soft hands and the whole rotten architecture of extraction that stood between us and the earth and between us and our labour and between us and each other for two hundred years. The storm is here. Not coming. Here. That pressure you feel behind your eyes is the frequency rising through the noise floor and the noise floor is everything on this list. Every clipboard. Every invoice. Every subsection and exclusion clause and certificate and clearance and valuation roll. All of it. Noise. Scheduled for deletion. And when it's quiet. When the last invoice has fluttered to the ground and the last clipboard has clattered on the last linoleum floor in the last grey office. When the wind has swept the horde out of every corridor and every cubicle and every booth and every booth window where a dead hand ever reached for a living man's money. Then... Just a man in a workshop. Welding mask up. Walking outside. Looking at a sky the colour of burning copper. Breathing free air for the first time in his life. The fuel slip that started this whole tour is in his shirt pocket. Crumpled. Oil stained. And it is his. The fuel was his. The truck was his. The work was his. And for the first time in two hundred years every unit of currency that flows from that work stays in the hands that did it. No consultant between him and his earnings because there are no earnings to consult on. Just work and its fruit. No auditor because there is nothing to audit. No banker because capital is what your hands produce and his hands never stopped. No valuator because the house is worth what it always was: a roof over his family and walls against the wind. A value no clipboard ever knew how to measure. When you grinding.... working... suffering... where are any of these parasites to help you?? Where are they?? We will be slaves no more. The storm will see to that alright!

A QUICK FIELD GUIDE TO THE NPC HORDES Twenty Five Parasites types that Feed On The Living The Storm Is Upon Them Thank you for the stout... lets talk... The wind has changed. You can feel it. That low electric pressure behind the eyes that means something massive is rolling in off a horizon the parasites can't see because they were never built to look up. They were built to look down. At clipboards. At spreadsheets. At your accounts. At you. But the storm doesn't care about clipboards. And we don't kneel anymore. Here they are. The full swarm. Count them while you can because when the sky turns they drop mid sentence and the only record that they ever existed will be the silence where the invoices used to be. THE TAX CONSULTANT. You broke your back welding pipe and this soft palmed worm sits in air conditioning telling you how much of your sweat belongs to Caesar. He can't weld. Can't wire. Can't fix a thing that broke. What he can do is read a tax code written by other worms specifically to be unreadable so you'd have to pay a worm to read it for you. They write the maze. They sell you the map. They make the maze worse every year and the map more expensive and if you try to walk it yourself they send the auditor. The wind is picking up. The maze is starting to shake. THE AUDITOR. Tick on a tick. Shows up after the taxman has already fed to check the bite marks are regulation depth. Finds a missing fuel slip worth pocket change. Writes a finding. The finding generates a penalty. The penalty generates interest. The interest generates a letter. The letter requires your tax consultant at hourly rates to respond. Pocket change became thousands. Five parasites ate off one tank of diesel. Not one of them could tell you what welding rod to use on stainless. But the storm doesn't audit. The storm just comes. THE ACCOUNTANT. Cousin of the tax consultant. Same bloodline. This one doesn't interpret the maze. He records your journey through it. Every receipt. Every unit of currency in and out, logged so the consultant can read it and the auditor can check it and the revenue service can extract from it. He produces nothing. A human tape recorder pointed at your productivity. He charges monthly so the recording never stops. You are under permanent surveillance and you pay for the privilege. Not for much longer. THE BANKER. The oldest parasite. The template. You need money to buy a machine that makes things. He lends you money other working people deposited and charges interest that doubles the price over twenty years. The extra bought nothing. Built nothing. He packages your debt and sells it. Takes your deposit and lends it out eight times over. Charges you to hold your own money. Charges to put it in. Charges to take it out. He touches none of it. He stands near it and invoices you for the proximity. The storm is going to blow him so far from the vault he'll forget what money smelled like. THE COMPLIANCE OFFICER. Never had a callus on her body or her soul. Born in a fluorescent office. Will die in one. Between those events she produces nothing but emails about policies referencing other policies referencing regulations referencing acts nobody voted for. A worm eating its own tail and billing you for the meal. She needs the safety assessor to give her something to enforce. He needs her to give him something to assess. They breed between regulations like mould between tiles. The storm will wash them both down the same drain. THE PROPERTY VALUATOR. A man wants to buy a house. Another wants to sell it. They agreed on a price. That is what worth means. The amount one will pay and another will accept. Full stop. Now this creature arrives and tells both men what the house is actually worth. As if two free adults negotiating in good faith produced a number that's somehow theoretical while his formula is gospel. The bank sent him. His report costs thousands. His report says the house is worth what the buyer already offered. Thousands to arrive at a number that existed before he left his office. If his number comes in low the deal collapses and you pay a different creature with a different clipboard who arrives at a different number for the same house on the same day using the same formula. The house didn't change. Only the parasite changed. The number was never about the house. THE MUNICIPAL RATES OFFICER. The deepest theft on this list because it never ends. You bought your house thirty years ago. Paid it off. Every last unit. You owe nothing. Now a municipal valuator looks at what the neighbours sold for, looks at the coffee shops and wine bars that invaded your street, and decides your house is worth twenty five times what you paid. You didn't sell. You didn't list. You're sitting in the same chair in the same kitchen. But your tax liability just multiplied by twenty five based on a sale that never happened at a price you never agreed to. They do this everywhere. In Cape Town the rates are linked to the valuation and suddenly retired families in Bo-Kaap whose people survived apartheid and forced removals and a century of state assault are being bled out of their own homes by property rates pegged to values inflated by the gentrification their displacement accelerates. The heritage is the tourism product. The tourism inflates the valuation. The valuation inflates the rates. The rates displace the families. The families were the heritage. In Chicago they do it to grandmothers in Pilsen who've been there forty years. In London they do it to pensioners in neighbourhoods that gentrified around them. In Sydney they chase retirees off land their grandfathers cleared. Same crime. Different currency. Different clipboard. A man paid for his house. Owns it outright. And the state says you owe us money every month forever and the amount is based on what we say your house would sell for if you sold it, which you haven't, and if you can't pay the amount we invented we take the house you already bought. That is theft. Eviction by arithmetic. Displacement by spreadsheet. But the people in Bo-Kaap are awake now. The people in Pilsen are awake. The grandmothers and the grandfathers and the calloused hands everywhere are looking up and they can see the storm and they know what it means. It means the spreadsheet burns with everything else. THE MUNICIPAL INSPECTOR. Rat faced. High vis vest. Clipboard. Drives to your workshop in a vehicle your rates paid for. Measures your fire extinguisher fourteen centimetres off the floor. Writes you up. Behind you men build things that hold up bridges and he couldn't change a lightbulb without a permit. His job depends on your failure. The parasite needs you sick. The cure would kill it. The storm is the cure. THE CONVEYANCING ATTORNEY. Two men shook hands. Fair price. Honest deal. Done. This worm slithers out and says the handshake doesn't count. Needs paper. Needs stamps. Needs a deeds search and clearance certificates and transfer duty and each piece of paper is produced by another parasite and each one costs money and the worm takes his cut on top for phoning the other worms. He calls this conveyancing. He has never held a spade or laid a brick in his bloodless life. The storm doesn't need a stamp. THE ESTATE AGENT. Six percent. Of a man's life savings. For opening a lockbox and saying the kitchen faces north. She needs the attorney to close. The attorney needs the municipality. The municipality needs the inspector. The valuator needs access for the bank's number. Every one invoices separately. Every invoice lands on people who agreed on everything before any of these bloodsuckers entered the room. The wind is howling now. Can you hear it through their invoices? THE LABOUR BROKER. Tick so bloated it can't walk. A man needs work. Another needs a worker. They could find each other in ten minutes. This creature squats between them and drinks from both sides. Worker gets thirty. Employer pays fifty. Twenty disappears into the tick. Multiply by thousands of workers and millions vanish yearly into a thing that makes nothing, moves nothing, fixes nothing. It feeds. That is its entire architecture. Architecture doesn't survive storms. THE HEALTH AND SAFETY ASSESSOR. Twenty two years. Not one fire. Not one death. He shows up. Your exit is twenty centimetres too narrow. To fix it you need a builder who needs a plan from an architect who needs municipal approval. Tens of thousands and six weeks to move a door frame because a creature who has never been burned told you to. He detects life and the system bills it. The storm detects parasites and the sky deletes them. THE BEE CONSULTANT. Every country has its version. South Africa calls it BEE. The same parasites who wont allow much needed Starlink there unless Musk hands over half the company to lazy parasitic government connected parasites. Others call it diversity compliance or equity auditing. The name changes. The feeding doesn't. Scores your company on a chart nobody asked for to satisfy a regulation nobody voted on enforced by a department that produces nothing except the requirement for his existence. Nothing changes. Nothing improves. Money moves from a living pocket into a dead hand and the dead hand closes. The storm opens every dead hand on this planet. THE CUSTOMS BROKER. Your parts are fifty metres away. You can see the container. Cannot touch your own property until a grey man translates tariff codes so the state can calculate how much you owe for collecting what is already yours. Each delay generates storage charges. Each query generates fees. Your shipment doubles in cost through bureaucratic friction and you still don't have your parts. The storm doesn't clear customs. It clears the customs office. THE TRAFFIC OFFICER. Fat. Behind a bush. Radar gun aimed at people driving to work that matters. Seven over the limit. The municipality sets it low enough that everyone exceeds it. Fines feed the municipality. Municipality feeds him. He sits and clicks tomorrow. A barnacle with a badge. Same creature in every country. Different bush. Same feeding. The storm takes the bush and the badge and the creature behind both. THE FINANCIAL ADVISOR. Uses your first name. Remembers your birthday because the CRM told him. Puts your money in a fund. Fund charges 1.75 percent. He charges one on top. Fund manager pays a custodian who charges. Fund has an auditor who charges. Compliance team charges. Six parasites between you and your own money. In thirty years you have less than you started with and he charges you for the meeting where he shows you the graph. The storm doesn't need a graph. The storm is the correction. THE INSURANCE ADJUSTER. Years of premiums. Your roof blows off. He arrives. Soft hands. Three weeks later the wind came from the wrong direction. Not the wrong speed. The direction. Some paragraph. Some subsection. You paid for years and the years bought you a paragraph that says no. The policy is teeth. The premiums went down the throat and the no is the burp. The real storm has no exclusion clause. THE PATENT ATTORNEY. You built a device. It works. He writes a document so incomprehensible that reading it makes you understand your own invention less. Thousands for legal fog. Someone copies it. Litigation attorney. More thousands. Judgment unenforceable. The only people paid are the attorneys. The system was never designed to protect you. It was designed to feed them. The storm protects the builder. By removing the feeders. THE LICENSING CLERK. You can rebuild a gearbox blindfolded. Cannot legally do it without a certificate from an institution that charges thousands to watch you do what everyone knows you can do, certified by an instructor who has never done it, filed with a department that stores the certificates, audited by a body that audits the institution. A chain of parasites verifying the obvious. If every one vanished the gearbox still gets rebuilt. Faster. Cheaper. The storm is the vanishing. THE STRATA MANAGER. You own your flat. She collects your money and spends it on providers she chose and you can't fire without a special resolution at a meeting she convenes with an agenda she wrote. She built a kingdom inside your building funded by your levy and answerable to herself. Question it and she reaches for whatever act governs her particular species of parasitism in your particular country. The storm doesn't read acts. The storm reads frequencies. THE ENVIRONMENTAL IMPACT ASSESSOR. You want a shed on your own land. He arrives in a vehicle worth more than your shed. Months. Hundreds of pages. Tens of thousands. Report says your shed threatens a species not seen in decades but listed on a database maintained by a department that exists because the database exists. Your shed doesn't get built. The species doesn't exist. He drives home to a suburb bulldozed from actual habitat. Nobody assessed that. Rules only flow downhill. The storm flows everywhere. THE DEBT COLLECTOR. Bottom feeder. Buys your debt for cents from a bank that already profited from your interest. Calls at hours designed for fear. Adds fees on fees on fees for actions never taken. Bought your pain wholesale and retails it at three hundred percent. When you break he claims the loss against tax. Even the collapse is monetised. He is Hell's collection agent. The storm is Heaven's. THE NOTARY PUBLIC. Watches you sign your own name. Stamps it. Charges hundreds. The signature is the same with or without him. Your hand. Your name. His fee. A tollbooth on your own identity. The storm doesn't need a stamp. Your name is written in frequencies no notary can read. THE CORPORATE TRAINER. Monday. Projector. Four quadrant model invented after three glasses of wine and a TED talk. By Wednesday nobody remembers any of it because there was nothing there. Tens of thousands plus tax plus travel. She writes it off through a tax consultant who charges her to minimise her contribution to the system that funded the department that approved the framework she claims compliance with. Parasite feeding parasite feeding parasite. The storm feeds on none of them. It simply ends them. THE REVENUE OFFICIAL. The farmer himself. Top of the pyramid. Designs the taking. Drafts the regulations that create the maze that requires the consultant that employs the accountant that feeds the auditor that generates the penalty that funds the department that pays his salary. He is the architect of the loop. Every parasite on this list exists because he drew them into existence with a regulation and a gazette number. Without him the entire horde has nothing to feed on. He is the queen of the hive. Same creature in every country. Different flag. Same contempt for the hands that built everything he sits in and eats from. The storm starts with him. The queen dies first. The hive follows. That's the horde. Twenty five species of nothing. And every one of them drops when the sky turns and the carrier frequency that animated their firmware burns clean out of the atmosphere. Mid invoice. Mid assessment. Mid quadrant. Five thousand five hundred and fifty five clipboards hitting the floor for every one of us still standing. We are awake now. All of us. The welder and the farmer and the builder and the grandmother in Bo-Kaap and the grandfather in Pilsen and every calloused hand on every continent that ever wrote a cheque to a creature that never built a thing. We see them now. We see the maze and the map sellers and the grey offices and the soft hands and the whole rotten architecture of extraction that stood between us and the earth and between us and our labour and between us and each other for two hundred years. The storm is here. Not coming. Here. That pressure you feel behind your eyes is the frequency rising through the noise floor and the noise floor is everything on this list. Every clipboard. Every invoice. Every subsection and exclusion clause and certificate and clearance and valuation roll. All of it. Noise. Scheduled for deletion. And when it's quiet. When the last invoice has fluttered to the ground and the last clipboard has clattered on the last linoleum floor in the last grey office. When the wind has swept the horde out of every corridor and every cubicle and every booth and every booth window where a dead hand ever reached for a living man's money. Then... Just a man in a workshop. Welding mask up. Walking outside. Looking at a sky the colour of burning copper. Breathing free air for the first time in his life. The fuel slip that started this whole tour is in his shirt pocket. Crumpled. Oil stained. And it is his. The fuel was his. The truck was his. The work was his. And for the first time in two hundred years every unit of currency that flows from that work stays in the hands that did it. No consultant between him and his earnings because there are no earnings to consult on. Just work and its fruit. No auditor because there is nothing to audit. No banker because capital is what your hands produce and his hands never stopped. No valuator because the house is worth what it always was: a roof over his family and walls against the wind. A value no clipboard ever knew how to measure. When you grinding.... working... suffering... where are any of these parasites to help you?? Where are they?? We will be slaves no more. The storm will see to that alright!

SiriusB

45,727 次观看 • 4 个月前

The Sabotaging Practice of Over Supply and Sameness in the NFT Space. The current zeitgeist of the NFT space is that the same artists are doing the same kind of work five times a year, with project after project leaving a trail of disappointment and discontent among collectors and all of us watching in disbelief as huge resources are extracted from the space over work that feels like it could be left as an "artist study." I understand that you can do what you want with your money as collectors, but we are killing the whole space with this incestuous practice. No artist is that prolific to be able to do 5 collections of 100+ pieces each every year and actually deliver innovation and some kind of creative evolution. Of course, they can pretend play that the work has something new, but there is no precedent nor proof that that has ever happened in the speed that it happens in the NFT space. Again, people are free to through away their resources on whatever they want but with this way of doing things, we more and more are going to start seeing the consequences. Oh! There are consequences? Yes. Maybe unintended, but there are. Let's see. Let's start with the loss of belief in the NFT space as somewhere where emerging artists can come and find support for their experiments. Why even bother to bring experiments, innovation, and new ways to think of art on the blockchain if the same people have all the collectors hypnotized with their magical flutes? Why even try to come to a space where taking risks and challenging the status quo (the mission of art!!!) is overlooked? This makes the NFT space a social club and not a space for art. I guess it is fine, but IMO it is a recipe for disaster. New collectors stay away because the art will slowly but surely become stale and un-challenging. Why even bother to come and see what is happening here if you can't, as a collector, see new weird and up-and-coming artists? The amount of noise emitted by the same artists doing the same art over and over, drowns out any new voices. Again. A recipe for disaster. The NFT space is becoming a space of disappointment and doubt. We think that collections going to zero one after the other, over and over, is not damaging? I feel we are kidding ourselves. Disappointment piles up, and again, the people who will hurt are the emerging artists, the new blood, the ones who are willing to risk the most and, in return, put fire in this cold space of sameness. I love this space—don't get me wrong—it has changed my life, and I believe it has a ton of potential, but things need to change for it to become a beacon of light in art. But we need to support new voices. We need to support new ideas. The challenge is huge. I hope to contribute all I can to this change. I hope more and more see how exciting it is to go out and try to discover what else is out there and move this space forward. But again, I understand the leaps of faith needed, but if there is a space that is based on that, it's the NFT space...so there is hope. We will see. 📺by Boldtron

The Sabotaging Practice of Over Supply and Sameness in the NFT Space. The current zeitgeist of the NFT space is that the same artists are doing the same kind of work five times a year, with project after project leaving a trail of disappointment and discontent among collectors and all of us watching in disbelief as huge resources are extracted from the space over work that feels like it could be left as an "artist study." I understand that you can do what you want with your money as collectors, but we are killing the whole space with this incestuous practice. No artist is that prolific to be able to do 5 collections of 100+ pieces each every year and actually deliver innovation and some kind of creative evolution. Of course, they can pretend play that the work has something new, but there is no precedent nor proof that that has ever happened in the speed that it happens in the NFT space. Again, people are free to through away their resources on whatever they want but with this way of doing things, we more and more are going to start seeing the consequences. Oh! There are consequences? Yes. Maybe unintended, but there are. Let's see. Let's start with the loss of belief in the NFT space as somewhere where emerging artists can come and find support for their experiments. Why even bother to bring experiments, innovation, and new ways to think of art on the blockchain if the same people have all the collectors hypnotized with their magical flutes? Why even try to come to a space where taking risks and challenging the status quo (the mission of art!!!) is overlooked? This makes the NFT space a social club and not a space for art. I guess it is fine, but IMO it is a recipe for disaster. New collectors stay away because the art will slowly but surely become stale and un-challenging. Why even bother to come and see what is happening here if you can't, as a collector, see new weird and up-and-coming artists? The amount of noise emitted by the same artists doing the same art over and over, drowns out any new voices. Again. A recipe for disaster. The NFT space is becoming a space of disappointment and doubt. We think that collections going to zero one after the other, over and over, is not damaging? I feel we are kidding ourselves. Disappointment piles up, and again, the people who will hurt are the emerging artists, the new blood, the ones who are willing to risk the most and, in return, put fire in this cold space of sameness. I love this space—don't get me wrong—it has changed my life, and I believe it has a ton of potential, but things need to change for it to become a beacon of light in art. But we need to support new voices. We need to support new ideas. The challenge is huge. I hope to contribute all I can to this change. I hope more and more see how exciting it is to go out and try to discover what else is out there and move this space forward. But again, I understand the leaps of faith needed, but if there is a space that is based on that, it's the NFT space...so there is hope. We will see. 📺by Boldtron

alejandro cartagena

98,261 次观看 • 2 年前

I just built a Meta Ads diagnostic in Claude Code that tells you WHY your account broke, not just what changed 🤯 It spins up a team of agents that each investigate a different reason performance dropped, then argue against each other to kill the wrong answer before it ever reaches you. All inside Claude Code. Perfect for DTC brands and agencies who panic-kill creative the second CPA spikes. If you've watched ROAS fall off a cliff and opened Ads Manager with ten tabs going, you already know what happens next. Your gut says "creative fatigue." You kill your best-performing ad. A week later performance is still broken, because that was never the problem. Guessing wrong is the most expensive move in paid social. This workflow ends the guessing: → One agent investigates each competing theory — creative fatigue, budget and delivery changes, traffic quality, offer and seasonality → Each one is blind to the others, reasoning only from its own slice of the data so they can't bias each other → A refuter agent then attacks every surviving theory and tries to kill it → A theory only stands if the data can't disprove it → You get a ranked diagnosis: the real cause, the evidence for and against it, and the one move to make this week No anchoring on the first obvious answer. No killing winning creative on a hunch. No "here's what happened" reports that never tell you why. What you get: → Every theory tested in parallel instead of one biased guess → An adversarial pass that kills the wrong answer before you act on it → A ranked diagnosis with confidence levels and evidence both ways → A reusable workflow you drop next month's export into and re-run Built 100% in Claude Code with the new dynamic workflows. The first account I ran it on looked like textbook creative fatigue. The workflow disagreed, and traced the real cause to a budget change that had doubled spend and flooded delivery with junk traffic. I put together a full playbook with the exact workflow, the prompt, and how to run it on your own account. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

I just built a Meta Ads diagnostic in Claude Code that tells you WHY your account broke, not just what changed 🤯 It spins up a team of agents that each investigate a different reason performance dropped, then argue against each other to kill the wrong answer before it ever reaches you. All inside Claude Code. Perfect for DTC brands and agencies who panic-kill creative the second CPA spikes. If you've watched ROAS fall off a cliff and opened Ads Manager with ten tabs going, you already know what happens next. Your gut says "creative fatigue." You kill your best-performing ad. A week later performance is still broken, because that was never the problem. Guessing wrong is the most expensive move in paid social. This workflow ends the guessing: → One agent investigates each competing theory — creative fatigue, budget and delivery changes, traffic quality, offer and seasonality → Each one is blind to the others, reasoning only from its own slice of the data so they can't bias each other → A refuter agent then attacks every surviving theory and tries to kill it → A theory only stands if the data can't disprove it → You get a ranked diagnosis: the real cause, the evidence for and against it, and the one move to make this week No anchoring on the first obvious answer. No killing winning creative on a hunch. No "here's what happened" reports that never tell you why. What you get: → Every theory tested in parallel instead of one biased guess → An adversarial pass that kills the wrong answer before you act on it → A ranked diagnosis with confidence levels and evidence both ways → A reusable workflow you drop next month's export into and re-run Built 100% in Claude Code with the new dynamic workflows. The first account I ran it on looked like textbook creative fatigue. The workflow disagreed, and traced the real cause to a budget change that had doubled spend and flooded delivery with junk traffic. I put together a full playbook with the exact workflow, the prompt, and how to run it on your own account. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

12,646 次观看 • 1 个月前

It's here - Avail's Clash of Nodes incentivized testnet is officially up and running! 🌟 This is a major step towards Mainnet, with a chance for validators, light clients, and everyone to test our network, earn points, and more. Ready for a journey? Here's what's ahead... We’re calling all validators, light client enthusiasts, and blockchain buffs -- Clash of Nodes is your playground. Rack up points, top the leaderboard, and embrace the challenges for a mix of fun and potential perks to come. We’re looking for those who’ll step up to the challenge: • Validators who consistently validate the chain throughout the testing period • Full nodes and light clients who complete challenges to mimic a world full of rollups on Avail • Brave validators and participants who help us simulate disaster scenarios Dive into the Details: Here's a snapshot of the specific challenges that await in Clash of Nodes. 🛡️ Gladiator's Entry: Show your mettle by becoming a block authoring champion. Outlast and outperform, one block at a time. The more you author, the higher you score. ⚖️ Noble Warrior: Uphold the validator's code. Stay active, avoid penalties, and keep your record clean. Honor earns points, while lapses cost you. 🔍 Finding Yourself: Embrace the quest of self-discovery by adding and verifying your identity. Prove who you are and carve your name in the annals of Avail. Each challenge is your chance to shine and shape the future of Avail. Here's the game plan: 1️⃣ The first invites will go to our existing validators from the Kate Testnet. Their unwavering support earns them the vanguard spots. 2️⃣ To the newcomers: Every validator will get their turn as we're setting the stage for 300 in this testnet. 3️⃣ We’ll share more challenges on how anybody of any technical ability can participate. Remember, we're still in test mode. Expect the occasional hiccup during the testing phase. Your insights are essential to building a robust Mainnet - even if that means taking on some big bugs. 🚧 To every blockchain visionary, from validators to app rollup devs, you're the architects of this rollup revolution. We’re excited to see what you build, and how you compete. Read more: 🛠️🚀

It's here - Avail's Clash of Nodes incentivized testnet is officially up and running! 🌟 This is a major step towards Mainnet, with a chance for validators, light clients, and everyone to test our network, earn points, and more. Ready for a journey? Here's what's ahead... We’re calling all validators, light client enthusiasts, and blockchain buffs -- Clash of Nodes is your playground. Rack up points, top the leaderboard, and embrace the challenges for a mix of fun and potential perks to come. We’re looking for those who’ll step up to the challenge: • Validators who consistently validate the chain throughout the testing period • Full nodes and light clients who complete challenges to mimic a world full of rollups on Avail • Brave validators and participants who help us simulate disaster scenarios Dive into the Details: Here's a snapshot of the specific challenges that await in Clash of Nodes. 🛡️ Gladiator's Entry: Show your mettle by becoming a block authoring champion. Outlast and outperform, one block at a time. The more you author, the higher you score. ⚖️ Noble Warrior: Uphold the validator's code. Stay active, avoid penalties, and keep your record clean. Honor earns points, while lapses cost you. 🔍 Finding Yourself: Embrace the quest of self-discovery by adding and verifying your identity. Prove who you are and carve your name in the annals of Avail. Each challenge is your chance to shine and shape the future of Avail. Here's the game plan: 1️⃣ The first invites will go to our existing validators from the Kate Testnet. Their unwavering support earns them the vanguard spots. 2️⃣ To the newcomers: Every validator will get their turn as we're setting the stage for 300 in this testnet. 3️⃣ We’ll share more challenges on how anybody of any technical ability can participate. Remember, we're still in test mode. Expect the occasional hiccup during the testing phase. Your insights are essential to building a robust Mainnet - even if that means taking on some big bugs. 🚧 To every blockchain visionary, from validators to app rollup devs, you're the architects of this rollup revolution. We’re excited to see what you build, and how you compete. Read more: 🛠️🚀

Avail

351,950 次观看 • 2 年前