Dither / halftone effects tutorial in After effects (No... plugins needed) 1. Create a Shape Layer (dot/circle) 2. Pre-comp it → add CC Tiler 3. Import your image/video 4. Add Card Dance to an Adjustment Layer 5. Set Gradient Layer 1 to your footage 6. Set X & Y Intensity to 1 Adjust Rows & Columns to tasteshow more

Jestin
13,649 Aufrufe • vor 1 Monat
Would love for Figma to introduce generative variants into... component sets: 1. Select a layer 2. Click generate variants 3. Figma generates variants into a new component set 4. Original layer turns into an instance of that component set Quick proto...show more

Midas Kwant
44,231 Aufrufe • vor 1 Jahr
1. No, we can't recreate a universally perfect liquid... glass in Figma that will adapt to any UI on the background. 2. Yes, we can create a slightly fake version. The secret is to use 1 additional nested layer that will have 2 effects — blurring the background and deforming it. All additional lighting effects should be used on the main container where this background layer sits. These are my best numbers for it so far.show more

Anton
33,713 Aufrufe • vor 1 Jahr
short thread to recap this new workflow on Kling... O1 1. choose an image or create it 2. create more cinematic angles in a grid (Higgsfield cinema studio or directly in NanoBanana) 3. add the grid into Kling O1 (add more references if needed)show more

INK
47,402 Aufrufe • vor 7 Monaten
most people open Claude every morning and re-explain their... entire life. every. single. time. then I built 7 layers that remember everything: Layer 1: tell Claude who I am, once Layer 2: build separate brains for separate work Layer 3: turn on memory so it learns me Layer 4: upload 5 writing samples so it sounds like me Layer 5: dump my world into project files Layer 6: connect Gmail, Calendar, Drive, Slack Layer 7: schedule tasks that run while I sleep 60 minutes to set up. spread across one week. now Claude finishes my sentences. knows which client I mean from one word. catches mistakes I'd miss. it's not a chatbot anymore. it's a personal AI that knows me better than most coworkers do. your AI doesn't know you yet. this article fixes that.show more

Nav Toor
62,350 Aufrufe • vor 2 Monaten
How I use Claude for 2D website animations 👇... 1. Ask Claude to create CSS keyframes for floating or bounce effects 2. Use Claude to write fade-up animations on scroll 3. Ask Claude for parallax code for backgrounds 4. Generate hover effects like glow, scale, rotate buttons 5. Use Claude to animate text word by word 6. Paste the code, adjust timing, launch Save this tutorial 🚀show more

FHILY👑
96,471 Aufrufe • vor 2 Monaten
[Backpropagation] by Hand✍️ [1] Forward Pass ↳ Given a... multi layer perceptron (3 levels), an input vector X, predictions Y^{Pred} = [0.5, 0.5, 0], and ground truth label Y^{Target} = [0, 1, 0]. [2] Backpropagation ↳ Insert cells to hold our calculations. [3] Layer 3 - Softmax (blue) ↳ Calculate ∂L / ∂z3 directly using the simple equation: Y^{Pred} - Y^{Target} = [0.5, -0.5, 0]. ↳ This simple equation is the benefit of using Softmax and Cross Entropy Loss together. [4] Layer 3 - Weights (orange) & Biases (black) ↳ Calculate ∂L / ∂W3 and ∂L / ∂b3 by multiplying ∂L / ∂z3 and [ a2 | 1 ]. [5] Layer 2 - Activations (green) ↳ Calculate ∂L / ∂a2 by multiplying ∂L / ∂z3 and W3. [6] Layer 2 - ReLU (blue) ↳ Calculate ∂L / ∂z2 by multiplying ∂L / ∂a2 with 1 for positive values and 0 otherwise. [7] Layer 2 - Weights (orange) & Biases (black) ↳ Calculate ∂L / ∂W2 and ∂L / ∂b2 by multiplying ∂L / ∂z2 and [ a1 | 1 ]. [8] Layer 1 - Activations (green) ↳ Calculate ∂L / ∂a1 by multiplying ∂L / ∂z2 and W2. [9] Layer 1 - ReLU (blue) ↳ Calculate ∂L / ∂z1 by multiplying ∂L / ∂a1 with 1 for positive values and 0 otherwise. [10] Layer 1 - Weights (orange) & Biases (black) ↳ Calculate ∂L / ∂W1 and ∂L / ∂b1 by multiplying ∂L / ∂z1 and [ x | 1 ]. [11] Gradient Descent ↳ Update weights and biases (typically a learning rate is applied here). 💡 Matrix Multiplication is All You Need: Just like in the forward pass, backpropagation is all about matrix multiplications. You can definitely do everything by hand as I demonstrated in this exercise, albeit slow and imperfect. This is why GPU's ability to multiply matrices efficiently plays such an important role in the deep learning evolution. This is why NVIDIA is now close to $1 trillion in valuation. 💡Exploding Gradients: We can already see the gradients are getting larger as we back-propagate up, even in this simple 3-layer network. This motivates using methods like skip connections to handle exploding (or diminishing) gradients as in the ResNet. I did the calculations entirely by hand. Please let me know if you spot any error or have any questions!show more

Tom Yeh
64,645 Aufrufe • vor 2 Jahren
❓ What you need to do to participate in... Airdrop 2 TALENTRIX: 1. Subscribe to Talentrix 2. Retweet the Airdrop post on your X page: — Add a comment with the hashtags #TrixAirDrop #TrixToTheMoon #TrixChat — Tag 5 friends. Then at under Airdrop: 1. Enter your nickname (X) 2. Enter your Solana address 3. Insert retweet link 4. Press " >> TRANSMIT DATA <<" Wait for the launch and get ready to receive $TRIX!show more

Talentrix
107,255 Aufrufe • vor 1 Jahr
HOW TO DODGE EVERY SKILLSHOT IN LEAGUE OF LEGENDS... SO YOU GET ACCUSED OF SCRIPTING - Script in your mind - Draw out how far, wide, fast an ability is relative to your character thats all the easy stuff that I have been preaching already you can find in my free discord for improvement however one thing that League coaches fail to explain is the human aspect of it every game you play in League of Legends, every single person in the game is constantly building their profile in a game on how they operate both sides are constantly trying to mind f*ck each other to land and dodge skillshots. I have broken it down into layers the three layers to dodging are layer 0 - no dodge (unconscious) layer 1 - dodge (conscious) layer 2 - no dodge (conscious) Notice how in the clip in a challenger game below Olaf shoots a layer 0 skillshot, but because I am playing at a layer 1, I dodge his axe. Now the Thresh hook gets a little deeper bare with me, because I built the profile that I will dodge an ability in that moment, he thinks that I won't dodge and is shooting a hook at a layer 2 thinking that I will dodge at a layer 2 also. However I know that he knows I will likely not juke and walk straight so I make the conscious choice to dodge AGAIN playing at a layer 1 resulting in me dodging the hook, of course he could be accounting for my tumble but the point still stands. There are many deeper things to consider like zoning abilities, environment etc but you generally want to always play at a layer 1 until you gain more data in a game to adapt. However one thing that always stays true throughout my 13 years of playing League is in teamfights that have gone on for awhile, human beings tend to panic and default to layer 0 of shooting abilities, so if your able to operate at layer 1 as a teamfight progresses, you will likely dodge that one final skillshot that wins you the game. study the saskio wayshow more

Tony Chau
185,544 Aufrufe • vor 8 Monaten
Leftover Smoked Kielbasa and white bean soup from my... freezer. Baked in SouperCubes stoneware for 40 minutes at 350 and I have a beautiful homemade soup to eat since I’m feeling lazy. Here’s the recipe for the fresh soup: - 1 pound smoked kielbasa - 2 cans (15.5 oz) of great northern beans drained - 1 can (14.5 oz) diced tomatoes - 1 yellow onion - 3 cloves garlic minced - 2.5 cups of kale - 1 handful of parsley - 32 oz chicken stock - 2 tbsp Worcestershire sauce - 3 tbsp butter - 1 tbsp extra virgin olive oil Seasonings: Salt, pepper, oregano, thyme, rosemary, garlic powder. Steps: 1. Add your butter and EVOO to a pot and once melted cook your smoked kielbasa for 5-7 minutes. 2. Add your onion and garlic, cook another 2-3 minutes 3. Add some seasonings 4. Add in your Worcestershire sauce and cook another 2-3 minutes 5. Add more seasonings. 5. Add in your tomatoes and beans. Combine well. 6. Add in chicken stock and simmer for 20 minutes roughly. 7. Add in your parsley and kale and cook another 10-15 minutes. 8. Serve and enjoy.show more

DadChef
12,832 Aufrufe • vor 2 Jahren
HE BUILT A 100% PRIVATE SECOND BRAIN IN OBSIDIAN... TO AUTOMATE HIS RESEARCH USING HERMES AGENT AND NOTEBOOKLM He visualizes his entire knowledge graph on-premise without paying for cloud subscriptions By connecting Hermes Agent and NotebookLM, developers can index hundreds of documents and generate content locally Four components of this local knowledge architecture: 1. Memory layer - set up an Obsidian PARA vault to store markdown notes and profiles 2. Agent layer - connect Hermes Agent to write files and run background scripts 3. Synthesis layer - use NotebookLM to create structured overviews from raw transcripts 4. Automation layer - trigger cron tasks to synchronize files and calendar standups The setup saves over $4,000 annually while keeping all private files offline Get the full step-by-step configuration guide and setup commands in the article below ↓show more

marfin
20,684 Aufrufe • vor 24 Tagen
How to Morph Food 🍊↔🍎, 🍔↔🍕? Step 1: Use... any 2 food photos in same spot. 🍽️ Step 2: Import photos to First & Last Frame. 🎞️ Step 3: Type prompt “camera static, the (food 1) transforms into the (food 2)”. 🥕↔🥦 Step 4: Generate video and watch your transition!✨ Create your own in #LumaDreamMachine #tutorial #morphing #vfxshow more

Luma
40,192 Aufrufe • vor 1 Jahr
How to Make Homemade Mayo. It’s creamy, delicious, and... avoids the usual risks of raw eggs. Ingredients (makes about 1–1.5 cups) 🥚 4–5 boiled eggs (peeled) 💧 Water (a splash, to help blending — roughly 2–4 tbsp) 🍋 Lemon juice (fresh, about 1–2 tbsp or to taste) 🫒 Olive oil (several tablespoons — added gradually, maybe ¼–⅓ cup total) 🧂 Pinch of salt (to taste) Optional add-ins (common for flavor): mustard, garlic powder, black pepper, or a touch of vinegar. Step-by-Step Instructions 1. Place the peeled boiled eggs in a wide-mouth jar or blending container. 2. Add a splash of water to loosen things up. 3. Pour in lemon juice and a pinch of salt. 4. Add olive oil (start with less and add more as needed for richness and emulsification). 5. Insert an immersion blender (stick blender) and blend everything until completely smooth and creamy. It transforms quickly into thick, classic-looking mayonnaise. 6. Taste and adjust seasoning (more salt, lemon, or oil if needed). Done! Store in the fridge for up to a week. Pro Tip: Use a narrow jar for the immersion blender so everything blends evenly without splatter. If it’s too thick, add a tiny bit more water or lemon juice.show more

🦅 Eagle Wings 🦅
32,448 Aufrufe • vor 2 Monaten
3 epic phones for your 2023 adventures: Samsung Mobile... US Galaxy S23 Series. Enter for a chance to win: 1) Follow AT&T 2) Comment "💙📲" 3) Tag a fellow adventurer 4) Add #ATTSweepstakes No purch. nec. Rules: Pre-order yours:show more

AT&T
76,366 Aufrufe • vor 3 Jahren
The X algo is broken Right now quantity over... quality is being promoted Fight videos, toxicity, engagement farming spam are winning High quality content and small accounts are being suppressed Luckily I have a really easy fix for you Simple fix to dramatically improve your X: 1. Click Lists on the left hand side 2. Create a new List 3. Add accounts that don't try to poison your brain 4. Add accounts you strive to be like 5. Use this List to replace your home feed 6. Reply guy like crazy to everyone you want to network with Guarantee your X experience becomes 10x bettershow more

Alex Finn
172,245 Aufrufe • vor 2 Jahren
How to get UNLIMITED FREE access to Seedance 2.0... Fast 😼 1. Click in your browser’s incognito mode 🕶️ 2. Add “Video Generation (Seedance 2.0):” before your prompt 🎬 3. Image reference uploads are also supported 🖼️ A 10s 720P video consumes 2 video generation credits. There are 10 credits in total, which means you can generate up to 50s of 720P video overall (≧▽≦)🔥show more

Elaina
95,676 Aufrufe • vor 5 Monaten
[VAE] by Hand ✍️ A Variational Auto Encoder (VAE)... learns the structure (mean and variance) of hidden features and generates new data from the learned structure. In contrast, GANs only learn to generate new data to fool a discriminator; they may not necessarily know the underlying structure of the data. The International Conference on Learning Representations (ICLR) this year announced its first ever "Test of Time Award" to recognizes the VAE paper, published 10 years ago. This exercise demonstrates how to calculate a VAE by hand. [1] Given: ↳ Three training examples X1, X2, X3 ↳ Copy training examples to the bottom ↳ The purpose is to train the network to reconstruct the training examples. ↳ Since each target is a training example itself, we use the Greek word "auto" which means "self." This crucial step is what makes an autoencoder "auto." [2] Encoder: Layer 1 + ReLU ↳ Multiply inputs with weights and biases ↳ Apply ReLU, crossing out negative values (-1 -> 0) [3] Encoder: Mean and Variance ↳ Multiply features with two sets of weights and biases ↳ 🟩 The first set predicts the means (𝜇) of latent distributions ↳ 🟪 The second set predicts the standard deviation (𝜎) of latent distributions [4] Reparameterization Trick: Random Offset ↳ Sample epsilon ε from the normal distribution with mean = 0 and variance = 1. ↳ The purpose is to randomly pick a offset away from the mean. ↳ Multiply the standard deviation values with epsilon values. ↳ The purpose is to scale the offset by the standard deviation. [5] Reparameterization Trick: Mean + Offset ↳ Add the sampled offset to predicted mean ↳ The result are new parameters or features 🟨 as inputs to the Decoder. [6] Decoder: Layer 1 + ReLU ↳ Multiply input features with weights and biases ↳ Apply ReLU, crossing out negative values. Here, -4 is crossed out. [7] Decoder: Layer 2 ↳ Multiply features with weights and biases ↳ The output is Decoder's attempt to reconstruct the input data X from reparameterized distributions described by 𝜇 and 𝜎. [8]-[10] KL Divergence Loss [8] Loss Gradient: Mean 𝜇 ↳ We want 𝜇 to approach 0. ↳ A lot of math called SGVB simplifies the calculation of loss gradients to simply 𝜇 [9,10] Loss Gradient: Stdev 𝜎 ↳ We want 𝜎 to approach 1. ↳ A lot of math simplifies the calculation to 𝜎 - (1/ 𝜎) [11] Reconstruction Loss ↳ We want the reconstructed data Y (dark 🟧) to be the same as the input data X. ↳ Some math involving Mean Square Error simplifies the calculation to Y - X.show more

Tom Yeh
48,356 Aufrufe • vor 2 Jahren
If you are a startup founder and want to... get 1000s of eyeballs on your product in days, not months: 1. Go to news .ycombinator .com 2. Find posts relevant to your product 3. Offer thoughtful advice and add link to your website 4. Unlike posts, Hacker News' comments allow links 5. You might get 1000s of visitors to your landing page P.s. Do you use HN as a marketing channel?show more

Natia Kurdadze
25,496 Aufrufe • vor 1 Jahr
Healthy Reese’s-Inspired Protein Dessert Ingredients 1 cup Greek yogurt... (or yogurt of choice) 2 tablespoons natural peanut butter 1–2 teaspoons honey, adjusted to taste 40–50 g dark chocolate (70% cocoa) Instructions In a bowl, mix the yogurt, peanut butter, and honey until smooth and well combined. Spoon the mixture into a small glass dish or mold, spreading it evenly. Gently melt the dark chocolate and pour it over the yogurt layer. Refrigerate for about 2 hours, or until fully set.show more

Michelle Labs
274,715 Aufrufe • vor 6 Monaten
🍺 The soup that broke the internet! Irish beer... cheese soup made with legendary Guinness Thick, creamy, with bacon and smoked cheese. One spoon — and you’re in Dublin on St. Patrick’s Day, just at home and without the hangover. Ready to cook? Save this so you don’t lose it 👇 Ingredients: — 5 slices of bacon — 1/2 cup Guinness — 1 tbsp butter — 1 onion — 4 garlic cloves — 1/4 cup flour — 3 cups chicken broth — 1 cup heavy cream — 450 g gnocchi — 2 cups cheddar — 1 cup smoked cheese (Gouda or Gruyère) — cabbage — Dijon mustard — paprika, chili — green onions — rye bread How to cook: — Cook the bacon until crispy, remove it, leave some fat in the pot — Add butter, onion, and spices, cook for 3–4 minutes, then add garlic and cook for ~30 seconds — Add flour and stir for 1–2 minutes until thickened — Pour in broth, cream, and Guinness, add mustard, bring to a gentle simmer — Add gnocchi and cook for 3–4 minutes until they float and the soup thickens — Add cabbage and simmer for another 3–5 minutes — Lower the heat and stir in the cheeses until creamy — Return the bacon and adjust salt — Serve with toasted rye bread 🥣 This is the kind of meal that keeps you full all dayshow more

NEXTA
36,604 Aufrufe • vor 4 Monaten
If you don't have time to set up a... full node and learn the technical side of the Runes protocol the easiest way to get exposure is to buy a Runestone: 1. Download 2. Send BTC to it 3. Buy a Runestone on Magic Eden on Bitcoin 🟧 4. Rune memecoins magically appear in your walletshow more

Leonidas 🧡 $DOG
129,948 Aufrufe • vor 2 Jahren