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- Small Tips - you can practice hit confirmable moves by set an opponent action to "random block" Hit confirmable moves example, Easy - Leroy 1+2,1+2,1 Medium - Leo d/b2,4 Hard - Jin d/f1,4

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Seedance 2.0 Tip: This is how I use grids to give just enough freedom for AI to work with while maintaining a controlled set of moves/techniques. Great for anything that is choreographed. Workflow: Use Grok to generate a list of techniques that you can pick from. choose 9 variations. Use banana to make it into a grid. Specify that the pose in each grid should be at the moment most representative of the tenique. SD2 Prompt: An olympic skater is performing her beautiful fast paced skate choreography. Choose at least 3 moves at random from @图片2 throughout her performance. No stopping between moves. Each move should be sharp and flow smoothly into the next move. Moves must not last longer than 4 seconds each. Emphasize her speed and accuracy of execution with dramatic cuts that shows her facial expression for emotional highlights. Must include at least 1 spin and 1 jump. Camera work should include fast 360 orbits, rapid jet cuts, ECUs to when she lands her jumps, dynamic push/pulls where her skate glides right infront of the camera, or any other that you think would be fitting. Perfect performance of a worldclass skater.
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Seedance 2.0 Tip: This is how I use grids to give just enough freedom for AI to work with while maintaining a controlled set of moves/techniques. Great for anything that is choreographed. Workflow: Use Grok to generate a list of techniques that you can pick from. choose 9 variations. Use banana to make it into a grid. Specify that the pose in each grid should be at the moment most representative of the tenique. SD2 Prompt: An olympic skater is performing her beautiful fast paced skate choreography. Choose at least 3 moves at random from @图片2 throughout her performance. No stopping between moves. Each move should be sharp and flow smoothly into the next move. Moves must not last longer than 4 seconds each. Emphasize her speed and accuracy of execution with dramatic cuts that shows her facial expression for emotional highlights. Must include at least 1 spin and 1 jump. Camera work should include fast 360 orbits, rapid jet cuts, ECUs to when she lands her jumps, dynamic push/pulls where her skate glides right infront of the camera, or any other that you think would be fitting. Perfect performance of a worldclass skater.

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This work makes a humanoid robot do simple parkour moves by looking with a depth camera and choosing the right move on the fly. The big deal is that it turns lots of small human moves into long, real-time robot behavior, without hand-coding every transition or retraining for each new course. A humanoid robot is usually good at steady walking, but it often fails when it has to do fast moves like jumping up, vaulting, or rolling, and then keep going to the next obstacle. The hard part is that you cannot easily collect training data for every possible obstacle shape, distance, and mistake, so robots end up learning a few moves that only work in a narrow setup. This work starts from short clips of real human parkour moves, like stepping over, vaulting, climbing, and rolling. It uses motion matching, which is basically a smart “pick the next clip that fits best right now” search, to stitch those short clips into a long, smooth plan that looks like a human doing a whole course. Then it trains a controller with reinforcement learning (RL), which means the robot learns by trial and error to copy that plan while staying balanced and not falling. After training separate expert controllers for different moves, it compresses them into 1 controller that uses only onboard depth sensing and a simple “go this fast in this direction” command. In real tests on a Unitree G1 humanoid, it can clear multiple obstacles in a row, adapt when obstacles get moved, and climb a wall up to 1.25m.
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This work makes a humanoid robot do simple parkour moves by looking with a depth camera and choosing the right move on the fly. The big deal is that it turns lots of small human moves into long, real-time robot behavior, without hand-coding every transition or retraining for each new course. A humanoid robot is usually good at steady walking, but it often fails when it has to do fast moves like jumping up, vaulting, or rolling, and then keep going to the next obstacle. The hard part is that you cannot easily collect training data for every possible obstacle shape, distance, and mistake, so robots end up learning a few moves that only work in a narrow setup. This work starts from short clips of real human parkour moves, like stepping over, vaulting, climbing, and rolling. It uses motion matching, which is basically a smart “pick the next clip that fits best right now” search, to stitch those short clips into a long, smooth plan that looks like a human doing a whole course. Then it trains a controller with reinforcement learning (RL), which means the robot learns by trial and error to copy that plan while staying balanced and not falling. After training separate expert controllers for different moves, it compresses them into 1 controller that uses only onboard depth sensing and a simple “go this fast in this direction” command. In real tests on a Unitree G1 humanoid, it can clear multiple obstacles in a row, adapt when obstacles get moved, and climb a wall up to 1.25m.

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i spent 4 dollars to make this post Akali 3H single routing structure with positioning optimizations these range from bnb territory to psychotic, but mainly putting together as an example for combo limits / optimization adjustments on the fly. You can always 2 hit walljump / do single hit jM to reduce some length and maintain the routing if combo time is a concern. For the third and fourth combos, there are 2 versions - one that optimizes for limit strike damage / combo time, and one that sends in extra air normals for 5s2 oki. Just posted both as an example, but routing like this also helps bridge the gap on 5s2 damage if you'd like to use that. Notes: 1) Corner to corner, keep in mind extra normals will increase the pushback and leave you closer to corner by the end, reducing frame adv from the tumble. 2) Nearing corner (starting about 75% of the stage away) adjustment on the ender for when the tumble has less frame adv, just cram in more air normals and save your double jump. 3) Here's where you'll start to see corner adjustments - round start position, this ends up being the starter for max damage midscreen, but if you were to reach the corner after the apex of your second jump loop arc, you can squeeze in extra minimum damage for a notable increase. Fortunately also maximizes corner carry while pushing damage. 4) In corner route. Stupid hard wrt combo time, just posting as an example of combo limits. you can probably just opt for above, but it does get an extra min damage source in. Alternatively, learn an easier combo lol. Have similarly structured stuff for 2H, will probably get to it later.

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Denistratos

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Seedance 2.0 on FlovaAI =================== Prompt: [Reference Identity Lock] Image 1 is ONLY the main female protagonist. Her face, hairstyle, body type, and outfit must match Image 1 exactly and stay consistent for the entire video. Image 2 is ONLY a uniform reference. All four opponents wear the school uniform shown in Image 2. Never swap, merge, duplicate, or blend identities. The protagonist's identity comes ONLY from Image 1. The four opponents have NO reference images. They are defined by the text descriptions below. The four opponents must not resemble the protagonist, and they must not resemble each other. All five characters must remain clearly distinct and recognizable until the end. [Priority Order] 1. Preserve the protagonist's identity from Image 1. 2. Keep the four opponents visually distinct from her and from each other. 3. Maintain one continuous shot with no cuts. 4. Keep the classroom layout spatially consistent. 5. 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Breathing continues throughout the scene and keeps building. Lighting: Late afternoon in a Korean high school classroom. Mixed cool fluorescent light and warm sunlight through the windows. Dust floating in the sunlight. Soft fan shadows moving across desks and school uniforms. Main character: The Korean female high school student from Image 1, age 17–18. Cold, emotionless, calm, and intimidating. She barely speaks and does not scream during the fight. She remains composed from beginning to end. Her movements are efficient, explosive, and precise. Even if her frame is not large, she dominates through speed, timing, and accuracy. Main outfit: Exactly the outfit shown in Image 1. Do not change its colors, design, or details. Her jacket or outer layer is either removed and hanging on a chair, or worn in a slightly messy way. The action must be non-sexualized and combat-focused. Fabric movement, dust, sweat, wrinkles, and impact response should feel realistic. Opponent rules: Four Korean female high school students, all wearing the Hanlim Multi Art School uniform shown in Image 2. They have no reference images. Define them strictly by these descriptions and keep each one consistent: Opponent A: short black bob with straight bangs, medium build, round face. Opponent B: long straight hair tied in a high ponytail, tall and lean, sharp jawline. Opponent C: shoulder-length hair with side-swept bangs, slim build, narrow face. Opponent D: long wavy hair worn loose, slightly stocky and broad-shouldered. A, B, C, and D must each keep clearly different faces, hairstyles, body shapes, and silhouettes. They must not resemble the protagonist, and they must not resemble each other. No face duplication, no face merging, no identity confusion. Environment: An empty classroom at Hanlim Multi Art School, a Korean performing arts high school in Seoul. Green chalkboard, chalk tray, worn wooden desks, plastic chairs, classroom clock, class schedule poster, discipline/life-guidance posters, cleaning tools, blinds or curtains, wall study materials, and a slightly scuffed floor. Desks and chairs should react naturally to impacts, sliding, shaking, and collapsing when hit. Camera framing rules: Even during kicks, framing should stay around chest-level or eye-level. No low-angle shots under the skirt. Do not focus on legs, thighs, underwear, or fetish-like details. All action framing must prioritize faces, upper-body motion, impact, and spatial choreography. Continuous action and camera choreography: From 0 to 15 seconds, the fight continues without any cuts. The action should be stylish but readable, and every movement must be physically connected. 0–3s: The camera starts behind the protagonist at a slightly low handheld angle, drifting left through the classroom aisle. 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D crashes sideways into two or three desks. The camera arcs around her shoulder and jitters slightly at each impact. No cuts. 9–12s: Opponent C rushes in from the chalkboard side. The protagonist clearly grabs C's collar with her left hand. C's face must be fully visible from the front and clearly different from the protagonist. The protagonist lands one short, hard punch to C's face, then immediately throws a powerful high kick or flying high kick into C's chest. The force sends C backward into the green chalkboard. The protagonist remains in the foreground and never touches the board. The protagonist's face should be side-profile or partially obscured. C's face should be clearly visible from the front at the moment of impact. Their faces must never overlap in frame. Use a very brief 20% slow motion at the chalkboard impact: chalk dust bursts outward, and C slides down the board. The camera pushes up with the impact, then tilts down as C slides. 12–15s: Through the chalk dust, the camera hard-pans right. D makes one final charge. The protagonist sidesteps and lands a tight uppercut to D's chin, followed immediately by a cross. D crashes into a row of desks, causing a chain reaction of collapsing desks and chairs. The camera drifts forward slowly. The protagonist adjusts her loose tie or ribbon and brushes chalk dust off her shoulder. Her expression stays cold and serious. She walks past the camera and exits the frame. Dust floats in the sunlight. Natural ending. =================== Made with Flova #FlovaAI #FlovaCPP
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Seedance 2.0 on FlovaAI =================== Prompt: [Reference Identity Lock] Image 1 is ONLY the main female protagonist. Her face, hairstyle, body type, and outfit must match Image 1 exactly and stay consistent for the entire video. Image 2 is ONLY a uniform reference. All four opponents wear the school uniform shown in Image 2. Never swap, merge, duplicate, or blend identities. The protagonist's identity comes ONLY from Image 1. The four opponents have NO reference images. They are defined by the text descriptions below. The four opponents must not resemble the protagonist, and they must not resemble each other. All five characters must remain clearly distinct and recognizable until the end. [Priority Order] 1. Preserve the protagonist's identity from Image 1. 2. Keep the four opponents visually distinct from her and from each other. 3. Maintain one continuous shot with no cuts. 4. Keep the classroom layout spatially consistent. 5. Make the action fast but readable and physically connected. 6. Keep the tone as a Korean school action drama, stylish but grounded. Korean school action drama classroom fight scene — 15 seconds, ONE CONTINUOUS SHOT, NO CUTS. A single uninterrupted handheld shot. No cuts, no scene transitions, no montage. The camera should feel handheld, with micro-jitters, slight rolling shutter, and raw unstable realism. The camera must physically travel through the same classroom space. Every transition must be motivated by camera movement, not editing. Whip pans are allowed, but they must not hide a cut. Do not teleport the camera or characters. The classroom layout and character positions must remain spatially consistent. Audio: No music. Only realistic school and classroom ambient sounds: old fluorescent light hum, distant hallway noise, ceiling fan, shoes scraping the floor, desks dragging, chair legs screeching, cloth friction, dull body impacts, and breathing that gradually becomes heavier. Breathing continues throughout the scene and keeps building. Lighting: Late afternoon in a Korean high school classroom. Mixed cool fluorescent light and warm sunlight through the windows. Dust floating in the sunlight. Soft fan shadows moving across desks and school uniforms. Main character: The Korean female high school student from Image 1, age 17–18. Cold, emotionless, calm, and intimidating. She barely speaks and does not scream during the fight. She remains composed from beginning to end. Her movements are efficient, explosive, and precise. Even if her frame is not large, she dominates through speed, timing, and accuracy. Main outfit: Exactly the outfit shown in Image 1. Do not change its colors, design, or details. Her jacket or outer layer is either removed and hanging on a chair, or worn in a slightly messy way. The action must be non-sexualized and combat-focused. Fabric movement, dust, sweat, wrinkles, and impact response should feel realistic. Opponent rules: Four Korean female high school students, all wearing the Hanlim Multi Art School uniform shown in Image 2. They have no reference images. Define them strictly by these descriptions and keep each one consistent: Opponent A: short black bob with straight bangs, medium build, round face. Opponent B: long straight hair tied in a high ponytail, tall and lean, sharp jawline. Opponent C: shoulder-length hair with side-swept bangs, slim build, narrow face. Opponent D: long wavy hair worn loose, slightly stocky and broad-shouldered. A, B, C, and D must each keep clearly different faces, hairstyles, body shapes, and silhouettes. They must not resemble the protagonist, and they must not resemble each other. No face duplication, no face merging, no identity confusion. Environment: An empty classroom at Hanlim Multi Art School, a Korean performing arts high school in Seoul. Green chalkboard, chalk tray, worn wooden desks, plastic chairs, classroom clock, class schedule poster, discipline/life-guidance posters, cleaning tools, blinds or curtains, wall study materials, and a slightly scuffed floor. Desks and chairs should react naturally to impacts, sliding, shaking, and collapsing when hit. Camera framing rules: Even during kicks, framing should stay around chest-level or eye-level. No low-angle shots under the skirt. Do not focus on legs, thighs, underwear, or fetish-like details. All action framing must prioritize faces, upper-body motion, impact, and spatial choreography. Continuous action and camera choreography: From 0 to 15 seconds, the fight continues without any cuts. The action should be stylish but readable, and every movement must be physically connected. 0–3s: The camera starts behind the protagonist at a slightly low handheld angle, drifting left through the classroom aisle. Opponent A grabs the protagonist's shoulder roughly and says in Korean: "야, 너 지금 뭐 하자는 거야?" The protagonist silently turns and lands one hard straight punch to A's face. At impact, use a very brief 15% slow motion: cheek ripple, dust particles, deep thud. A falls sideways into a desk. The camera dips slightly from the shock, then whip-pans right without cutting. 3–6s: Opponent B charges in from the right. The protagonist steps forward instead of retreating. A short body shot to the stomach. Immediate uppercut to the chin. Without pausing, she drives forward into a flying knee to B's chest. B is thrown backward across or into a desk. The camera follows the forward motion low, then rebounds upward with the impact. 6–9s: Opponent D attacks with two fast punches. The protagonist deflects both strikes with her arms, then flows into a turning backfist to D's face. As D staggers, she continues the same rotation into a spinning back elbow that lands hard on D's jaw or temple. D crashes sideways into two or three desks. The camera arcs around her shoulder and jitters slightly at each impact. No cuts. 9–12s: Opponent C rushes in from the chalkboard side. The protagonist clearly grabs C's collar with her left hand. C's face must be fully visible from the front and clearly different from the protagonist. The protagonist lands one short, hard punch to C's face, then immediately throws a powerful high kick or flying high kick into C's chest. The force sends C backward into the green chalkboard. The protagonist remains in the foreground and never touches the board. The protagonist's face should be side-profile or partially obscured. C's face should be clearly visible from the front at the moment of impact. Their faces must never overlap in frame. Use a very brief 20% slow motion at the chalkboard impact: chalk dust bursts outward, and C slides down the board. The camera pushes up with the impact, then tilts down as C slides. 12–15s: Through the chalk dust, the camera hard-pans right. D makes one final charge. The protagonist sidesteps and lands a tight uppercut to D's chin, followed immediately by a cross. D crashes into a row of desks, causing a chain reaction of collapsing desks and chairs. The camera drifts forward slowly. The protagonist adjusts her loose tie or ribbon and brushes chalk dust off her shoulder. Her expression stays cold and serious. She walks past the camera and exits the frame. Dust floats in the sunlight. Natural ending. =================== Made with Flova #FlovaAI #FlovaCPP

TSUBAKI

18,464 Aufrufe • vor 24 Tagen

Vector Database by Hand ✍️ Vector databases are revolutionizing how we search and analyze complex data. They have become the backbone of Retrieval Augmented Generation (#RAG). How do vector databases work? [1] Given ↳ A dataset of three sentences, each has 3 words (or tokens) ↳ In practice, a dataset may contain millions or billions of sentences. The max number of tokens may be tens of thousands (e.g., 32,768 mistral-7b). Process "how are you" [2] 🟨 Word Embeddings ↳ For each word, look up corresponding word embedding vector from a table of 22 vectors, where 22 is the vocabulary size. ↳ In practice, the vocabulary size can be tens of thousands. The word embedding dimensions are in the thousands (e.g., 1024, 4096) [3] 🟩 Encoding ↳ Feed the sequence of word embeddings to an encoder to obtain a sequence of feature vectors, one per word. ↳ Here, the encoder is a simple one layer perceptron (linear layer + ReLU) ↳ In practice, the encoder is a transformer or one of its many variants. [4] 🟩 Mean Pooling ↳ Merge the sequence of feature vectors into a single vector using "mean pooling" which is to average across the columns. ↳ The result is a single vector. We often call it "text embeddings" or "sentence embeddings." ↳ Other pooling techniques are possible, such as CLS. But mean pooling is the most common. [5] 🟦 Indexing ↳ Reduce the dimensions of the text embedding vector by a projection matrix. The reduction rate is 50% (4->2). ↳ In practice, the values in this projection matrix is much more random. ↳ The purpose is similar to that of hashing, which is to obtain a short representation to allow faster comparison and retrieval. ↳ The resulting dimension-reduced index vector is saved in the vector storage. [6] Process "who are you" ↳ Repeat [2]-[5] [7] Process "who am I" ↳ Repeat [2]-[5] Now we have indexed our dataset in the vector database. [8] 🟥 Query: "am I you" ↳ Repeat [2]-[5] ↳ The result is a 2-d query vector. [9] 🟥 Dot Products ↳ Take dot product between the query vector and database vectors. They are all 2-d. ↳ The purpose is to use dot product to estimate similarity. ↳ By transposing the query vector, this step becomes a matrix multiplication. [10] 🟥 Nearest Neighbor ↳ Find the largest dot product by linear scan. ↳ The sentence with the highest dot product is "who am I" ↳ In practice, because scanning billions of vectors is slow, we use an Approximate Nearest Neighbor (ANN) algorithm like the Hierarchical Navigable Small Worlds (HNSW).
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Vector Database by Hand ✍️ Vector databases are revolutionizing how we search and analyze complex data. They have become the backbone of Retrieval Augmented Generation (#RAG). How do vector databases work? [1] Given ↳ A dataset of three sentences, each has 3 words (or tokens) ↳ In practice, a dataset may contain millions or billions of sentences. The max number of tokens may be tens of thousands (e.g., 32,768 mistral-7b). Process "how are you" [2] 🟨 Word Embeddings ↳ For each word, look up corresponding word embedding vector from a table of 22 vectors, where 22 is the vocabulary size. ↳ In practice, the vocabulary size can be tens of thousands. The word embedding dimensions are in the thousands (e.g., 1024, 4096) [3] 🟩 Encoding ↳ Feed the sequence of word embeddings to an encoder to obtain a sequence of feature vectors, one per word. ↳ Here, the encoder is a simple one layer perceptron (linear layer + ReLU) ↳ In practice, the encoder is a transformer or one of its many variants. [4] 🟩 Mean Pooling ↳ Merge the sequence of feature vectors into a single vector using "mean pooling" which is to average across the columns. ↳ The result is a single vector. We often call it "text embeddings" or "sentence embeddings." ↳ Other pooling techniques are possible, such as CLS. But mean pooling is the most common. [5] 🟦 Indexing ↳ Reduce the dimensions of the text embedding vector by a projection matrix. The reduction rate is 50% (4->2). ↳ In practice, the values in this projection matrix is much more random. ↳ The purpose is similar to that of hashing, which is to obtain a short representation to allow faster comparison and retrieval. ↳ The resulting dimension-reduced index vector is saved in the vector storage. [6] Process "who are you" ↳ Repeat [2]-[5] [7] Process "who am I" ↳ Repeat [2]-[5] Now we have indexed our dataset in the vector database. [8] 🟥 Query: "am I you" ↳ Repeat [2]-[5] ↳ The result is a 2-d query vector. [9] 🟥 Dot Products ↳ Take dot product between the query vector and database vectors. They are all 2-d. ↳ The purpose is to use dot product to estimate similarity. ↳ By transposing the query vector, this step becomes a matrix multiplication. [10] 🟥 Nearest Neighbor ↳ Find the largest dot product by linear scan. ↳ The sentence with the highest dot product is "who am I" ↳ In practice, because scanning billions of vectors is slow, we use an Approximate Nearest Neighbor (ANN) algorithm like the Hierarchical Navigable Small Worlds (HNSW).

Tom Yeh

192,022 Aufrufe • vor 2 Jahren

Who remembers being surprised to see "Directory Art" after you typed: LOAD "$", 8 LIST Instead of a boring list of filenames and block counts, the entire directory screen transformed into a beautiful piece of directory art (dir art / d/art). The surprise hit hard the first time you saw it on a cracked game disk; I was like, "What just happened?!" The drive's "directory" isn't a normal file — when you ask for "$" (the special filename meaning "show directory"), the drive generates a fake BASIC program on the fly. The first two bytes are the load address (like any PRG file), then it spits out tokenized BASIC lines: line numbers (those 18, 40, etc.), the block counts as "PRINT" statements, filenames in quotes, file types like PRG or DEL, and finally "107 BLOCKS FREE." and "READY." as the last "lines." Normally this just looks like a messy program listing when you LIST it. But clever sceners realized: "Hey, we can overwrite those 'lines' with PETSCII block characters (like the diamond borders, checker patterns, hearts, etc.) while keeping the structure intact so the drive still thinks it's a valid directory." They used deleted files (type DEL) or carefully placed dummy entries to draw in the 16-column filename area, turning the directory into ASCII/PETSCII art. When this popped up on your C64, it was amazing. Who remembers seeing directory art on their Commodore 64?
0:12

Who remembers being surprised to see "Directory Art" after you typed: LOAD "$", 8 LIST Instead of a boring list of filenames and block counts, the entire directory screen transformed into a beautiful piece of directory art (dir art / d/art). The surprise hit hard the first time you saw it on a cracked game disk; I was like, "What just happened?!" The drive's "directory" isn't a normal file — when you ask for "$" (the special filename meaning "show directory"), the drive generates a fake BASIC program on the fly. The first two bytes are the load address (like any PRG file), then it spits out tokenized BASIC lines: line numbers (those 18, 40, etc.), the block counts as "PRINT" statements, filenames in quotes, file types like PRG or DEL, and finally "107 BLOCKS FREE." and "READY." as the last "lines." Normally this just looks like a messy program listing when you LIST it. But clever sceners realized: "Hey, we can overwrite those 'lines' with PETSCII block characters (like the diamond borders, checker patterns, hearts, etc.) while keeping the structure intact so the drive still thinks it's a valid directory." They used deleted files (type DEL) or carefully placed dummy entries to draw in the 16-column filename area, turning the directory into ASCII/PETSCII art. When this popped up on your C64, it was amazing. Who remembers seeing directory art on their Commodore 64?

Commodore Computer Museum 🕹

12,344 Aufrufe • vor 4 Monaten

If you stumbled on this tweet, it's a sign we should connect! Let me introduce myself: Hi, I'm Caleb, and I'm a 𝗡𝗢𝗕𝗢𝗗𝗬. No fancy degree. Not the smartest guy in the room. Just a guy who grew up broke with nothing but internet access and hunger. I've always been the guy who refused to stay down, who questioned everything, and who moves different. Yeah, I can be lazy at times. I hate stress. But when I want something? I take it. Slowly, but surely. ------------ 𝗙𝗮𝗰𝘁𝘀 𝗮𝗯𝗼𝘂𝘁 𝗺𝗲 📍 ➟ Real name is Earnest (Caleb is mom's nickname). ➟ "heis" means #1 hence the emoji (🥇). ➟ My banner = my mindset: always evolving. ➟ I strongly believe with evidence that prayers work. ------------ 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼 𝗶𝗻 𝘁𝗵𝗲 𝘀𝗽𝗮𝗰𝗲 📍 ➟ I'm a Content Creator who breaks down AI and Web3 for regular people. ➟ Not here to sound smart or use big words. I take complex stuff and make it simple enough for your grandma to understand. ➟ I share tips on how to use AI to make your life much easier. ➟ I participate in creator deals/campaigns that align with my brand. ➟ I over-deliver when it comes to my sevices. Need them? Send a DM or an email: heiscaleb814@gmail.com ------------ I'm not where I want to be. And that's exactly where I want to be - always growing, never "satisfied." This account is for builders, creators, and anyone who refuses to give up. My goal? Educate you, inspire you, and make you laugh while doing it. If you read this far, you should hit the follow button. Now, may I know you as well?
0:11

If you stumbled on this tweet, it's a sign we should connect! Let me introduce myself: Hi, I'm Caleb, and I'm a 𝗡𝗢𝗕𝗢𝗗𝗬. No fancy degree. Not the smartest guy in the room. Just a guy who grew up broke with nothing but internet access and hunger. I've always been the guy who refused to stay down, who questioned everything, and who moves different. Yeah, I can be lazy at times. I hate stress. But when I want something? I take it. Slowly, but surely. ------------ 𝗙𝗮𝗰𝘁𝘀 𝗮𝗯𝗼𝘂𝘁 𝗺𝗲 📍 ➟ Real name is Earnest (Caleb is mom's nickname). ➟ "heis" means #1 hence the emoji (🥇). ➟ My banner = my mindset: always evolving. ➟ I strongly believe with evidence that prayers work. ------------ 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼 𝗶𝗻 𝘁𝗵𝗲 𝘀𝗽𝗮𝗰𝗲 📍 ➟ I'm a Content Creator who breaks down AI and Web3 for regular people. ➟ Not here to sound smart or use big words. I take complex stuff and make it simple enough for your grandma to understand. ➟ I share tips on how to use AI to make your life much easier. ➟ I participate in creator deals/campaigns that align with my brand. ➟ I over-deliver when it comes to my sevices. Need them? Send a DM or an email: [email protected] ------------ I'm not where I want to be. And that's exactly where I want to be - always growing, never "satisfied." This account is for builders, creators, and anyone who refuses to give up. My goal? Educate you, inspire you, and make you laugh while doing it. If you read this far, you should hit the follow button. Now, may I know you as well?

Caleb🥇

11,860 Aufrufe • vor 1 Jahr

Do mindshare, sentiment, and price really work in sync? We're looking at the case of recent $FARTCOIN moves as an example of how to read and analyze data. For most of the last 2 weeks, $FARTCOIN followed the script: uptrend/downtrend in mindshare and sentiment → price followed, as shown on the multi-metric chart at But over the last 3 days: → Sentiment climbed → Price lagged and stayed coherent with mindshare. Could this mean that if the pattern holds, price is primed to catch up? Is sentiment the first thing that climbs, followed by mindshare? If so, this could mean that projects need to focus on generating positive sentiment from current users and holders first, as they are the primary drivers of mindshare growth. Let’s break down what’s really happening with $FARTCOIN and why context is everything. Numbers and price action are only part of the story. They tell you what happened, but not why it happened or what might come next. With you can analyze the context behind the moves: By tracking how people talk, feel, and engage with a project over time along with how much influence they carry. Key Drivers for $FARTCOIN sentiment growth: #1 Buzz Highlight (Cookie Deep Research): “Fartcoin reaches milestone of 155,000 holders showing strong community growth” On the surface, this sounds bullish. But a quick scroll through the Smart Feed shows that CT’s reaction was muted. That nuance matters because not every headline creates FOMO. #2 Smart Feed Signals: Sentiment was up, but not euphoric. While the charts show a clear climb in sentiment, the Smart Feed reveals the tone was measured, not manic. Again, that subtlety matters it’s not just about sentiment rising, but how it rises. #3 Top Voices: Dip Wheeler and CRG have dominated the conversation across most timeframes. Both are $FARTCOIN maxis, this was easily discoverable by stalking their smart feeds, hence if their tone shifts, that’s a signal worth tracking. Knowing who is influencing the narrative is just as important as understanding the narrative. So where does this leave us? If the sentiment → mindshare → price pattern continues to hold, we might see price play catch-up soon. But right now, the Smart Feed doesn’t show full conviction. That’s why looking at price alone isn’t enough. To understand what’s really going on, you need to go deeper into the sentiment, mindshare, and influence data that shapes market moves. Everyone deserves access to market context. That’s what decentralized InfoFi delivers. Disclaimer: This post is for informational purposes only. Always DYOR.
0:11

Do mindshare, sentiment, and price really work in sync? We're looking at the case of recent $FARTCOIN moves as an example of how to read and analyze data. For most of the last 2 weeks, $FARTCOIN followed the script: uptrend/downtrend in mindshare and sentiment → price followed, as shown on the multi-metric chart at But over the last 3 days: → Sentiment climbed → Price lagged and stayed coherent with mindshare. Could this mean that if the pattern holds, price is primed to catch up? Is sentiment the first thing that climbs, followed by mindshare? If so, this could mean that projects need to focus on generating positive sentiment from current users and holders first, as they are the primary drivers of mindshare growth. Let’s break down what’s really happening with $FARTCOIN and why context is everything. Numbers and price action are only part of the story. They tell you what happened, but not why it happened or what might come next. With you can analyze the context behind the moves: By tracking how people talk, feel, and engage with a project over time along with how much influence they carry. Key Drivers for $FARTCOIN sentiment growth: #1 Buzz Highlight (Cookie Deep Research): “Fartcoin reaches milestone of 155,000 holders showing strong community growth” On the surface, this sounds bullish. But a quick scroll through the Smart Feed shows that CT’s reaction was muted. That nuance matters because not every headline creates FOMO. #2 Smart Feed Signals: Sentiment was up, but not euphoric. While the charts show a clear climb in sentiment, the Smart Feed reveals the tone was measured, not manic. Again, that subtlety matters it’s not just about sentiment rising, but how it rises. #3 Top Voices: Dip Wheeler and CRG have dominated the conversation across most timeframes. Both are $FARTCOIN maxis, this was easily discoverable by stalking their smart feeds, hence if their tone shifts, that’s a signal worth tracking. Knowing who is influencing the narrative is just as important as understanding the narrative. So where does this leave us? If the sentiment → mindshare → price pattern continues to hold, we might see price play catch-up soon. But right now, the Smart Feed doesn’t show full conviction. That’s why looking at price alone isn’t enough. To understand what’s really going on, you need to go deeper into the sentiment, mindshare, and influence data that shapes market moves. Everyone deserves access to market context. That’s what decentralized InfoFi delivers. Disclaimer: This post is for informational purposes only. Always DYOR.

Cookie DAO 🍪

54,113 Aufrufe • vor 1 Jahr

Polymarket. Calculator. Public data. That’s enough to beat 95% of traders How? By trading mispriced markets Liquidity is thin, so NO ONE talks about it But I'll reveal it step by step so you can win too: There're hundreds of markets where real outcome is already decided, but odds are still far from reality. Why? BECAUSE PEOPLE ARE LAZY. If you’re willing to spend 5 minutes checking numbers, you’re already ahead of ~95% of traders, trust me. Most users come to Polymarket chasing a miracle like sudden 10x, one lucky click, instant retirement. That’s not how consistent money is made. The boring stuff works. Repetition works. Simple logic works. Let’s walk through a real example. “Will MrBeast reach ___ million subscribers by March 31?” Market link: [ Now check public data: > Current number: 460M followers > Average growth = +1M subs every 6 days > Time left until March 31 ≈ 77 days 77/6 = ~13 So around 13M subscribers are left on the clock. Needed growth to hit the target: 10-12M And that’s without pricing in: > Viral uploads > New Beast Games season > Algorithmic boosts Result? A YES outcome is almost locked. At ~72% odds, you’re buying something that behaves like a near-certainty for a ~28% return. (And if you don't want to risk, you can bet on the first option to turn every $0.94 into $1) 475M line is riskier, but still logical. Even at conservative growth, the projection lands around ~473M, meaning a small push or event clears it. This isn’t gambling. This is probability abuse. And the wild part? You can find dozens of setups like this every week. All public data. All obvious. All mispriced. No edge required. Just math and patience most people don’t have. Always DYOR before trading. NFA.
0:15

Polymarket. Calculator. Public data. That’s enough to beat 95% of traders How? By trading mispriced markets Liquidity is thin, so NO ONE talks about it But I'll reveal it step by step so you can win too: There're hundreds of markets where real outcome is already decided, but odds are still far from reality. Why? BECAUSE PEOPLE ARE LAZY. If you’re willing to spend 5 minutes checking numbers, you’re already ahead of ~95% of traders, trust me. Most users come to Polymarket chasing a miracle like sudden 10x, one lucky click, instant retirement. That’s not how consistent money is made. The boring stuff works. Repetition works. Simple logic works. Let’s walk through a real example. “Will MrBeast reach ___ million subscribers by March 31?” Market link: [ Now check public data: > Current number: 460M followers > Average growth = +1M subs every 6 days > Time left until March 31 ≈ 77 days 77/6 = ~13 So around 13M subscribers are left on the clock. Needed growth to hit the target: 10-12M And that’s without pricing in: > Viral uploads > New Beast Games season > Algorithmic boosts Result? A YES outcome is almost locked. At ~72% odds, you’re buying something that behaves like a near-certainty for a ~28% return. (And if you don't want to risk, you can bet on the first option to turn every $0.94 into $1) 475M line is riskier, but still logical. Even at conservative growth, the projection lands around ~473M, meaning a small push or event clears it. This isn’t gambling. This is probability abuse. And the wild part? You can find dozens of setups like this every week. All public data. All obvious. All mispriced. No edge required. Just math and patience most people don’t have. Always DYOR before trading. NFA.

Dexter's Lab

42,865 Aufrufe • vor 6 Monaten

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 👉
0:14

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 👉

Tom Yeh

73,787 Aufrufe • vor 3 Monaten

RHP/1B Trace Phillips (Middle Tennessee Baseball) is an interesting draft-eligible sophomore on which to keep close tabs. Last spring, he hit .304/.360/.547 with 8 2B, 13 HR and 47 RBIs, but it’s his ability on the mound that's the root of his buzz. Phillips' back of the baseball card numbers last season are modest, but there is more to it than meets the eye. At 6'3" and 185-lbs, Phillips has an athletic, high-waisted frame. In the box, he has a simple setup with an ear-high handset and the bat horizontal above his back shoulder. Phillips has a slight load in which he has a noticeable barrel tip and a small stride. He moves well in the box and has some scissor action with his back leg. Phillips’ pure hit tool is fringey, but he has plus raw power and has shown the ability to drive the baseball to all fields. Max EV last spring of 109.4, if he's able to lift the ball more it will lead to a more impressive power output. Phillips’ current prospect status is largely driven by his ability on the mound. His numbers were unimpressive last season, but he took a step forward this fall. There’s some low hanging fruit to clean up in his delivery, but he has a short, whippy arm stroke and attacks from a low-three quarters slot with plenty of arm speed. Phillips’ FB has been up to 96 with ride through the zone (particular life at the top), though his best pitch is a high-70s-to-low-80s CH. He does a nice job of killing spin on it, and It averaged almost 15 MPH off his fastball this fall. It’s a plus pitch that flashes both fade to the arm side as well late tumble. Phillips completes his arsenal with a mid-80s slider that flashed above-average this fall with sharp, two-plane tilt. Both his changeup and slider profile as legitimate swing-and-miss offerings. Another positive development with Phillips this fall is that his strike-throwing took a step in the right direction. Mid-4th-6th round type this July. (📽️: Middle Tennessee Baseball)
0:14

RHP/1B Trace Phillips (Middle Tennessee Baseball) is an interesting draft-eligible sophomore on which to keep close tabs. Last spring, he hit .304/.360/.547 with 8 2B, 13 HR and 47 RBIs, but it’s his ability on the mound that's the root of his buzz. Phillips' back of the baseball card numbers last season are modest, but there is more to it than meets the eye. At 6'3" and 185-lbs, Phillips has an athletic, high-waisted frame. In the box, he has a simple setup with an ear-high handset and the bat horizontal above his back shoulder. Phillips has a slight load in which he has a noticeable barrel tip and a small stride. He moves well in the box and has some scissor action with his back leg. Phillips’ pure hit tool is fringey, but he has plus raw power and has shown the ability to drive the baseball to all fields. Max EV last spring of 109.4, if he's able to lift the ball more it will lead to a more impressive power output. Phillips’ current prospect status is largely driven by his ability on the mound. His numbers were unimpressive last season, but he took a step forward this fall. There’s some low hanging fruit to clean up in his delivery, but he has a short, whippy arm stroke and attacks from a low-three quarters slot with plenty of arm speed. Phillips’ FB has been up to 96 with ride through the zone (particular life at the top), though his best pitch is a high-70s-to-low-80s CH. He does a nice job of killing spin on it, and It averaged almost 15 MPH off his fastball this fall. It’s a plus pitch that flashes both fade to the arm side as well late tumble. Phillips completes his arsenal with a mid-80s slider that flashed above-average this fall with sharp, two-plane tilt. Both his changeup and slider profile as legitimate swing-and-miss offerings. Another positive development with Phillips this fall is that his strike-throwing took a step in the right direction. Mid-4th-6th round type this July. (📽️: Middle Tennessee Baseball)

Peter Flaherty III

10,984 Aufrufe • vor 1 Jahr

Let me ask you an honest question: Who’s your daddy? If you’re a high school student athlete in Illinois, the answer is easy when it comes to one’s “Right to Play.” It’s not your Mom or Dad. It’s a private third-party vendor called the Illinois High School Association (IHSA). If you play a high school sport, the IHSA controls you even when your school day is over and even more when school isn’t even in session. It’s long been an overreach of control from a small group of narrow-minded ego-driven adults literally dictating what student athletes and families can do in their free time. But much-needed and welcome change is getting closer for all student athletes and their families, as more and more student athletes and parents come forward from present and past to speak up and talk about the disadvantages the IHSA - and those who benefit from it - have and are causing. The first victory earlier this week was by slaughter rule, a 12-0 thumping over the IHSA in committee vote. Now it moves to the big leagues. You can read more here: I encourage you to engage and educate yourself in a topic that 75 percent of high school student athletes across the U.S. can do, but it’s something high school student athletes in Illinois can’t do. Over the next 30 days, you are going to see more stories and hear directly from student athletes, families, leading athletic trainers and doctors, school leaders from Illinois and other states on local and national media outlets talking about this overreach and how the IHSA continues to put student athletes at a disadvantage. So I ask you again: Since when does a private third-party vendor get to control what student athletes and their families do, especially during their free time? Think about that. As you’ll see once again, it’s another classic case of cherry-picking to benefit one’s self by an organization that has now lost three consecutive court cases due to its unlawful dictating overreach. As always, I’ll layout both sides and show you how this has and continues to work easily and well for high school student athletes and schools across the U.S. - except in Illinois. They’ll say “health & safety.” They’ll say “scheduling & other logistics.” I’ll show you how those stocked talking points aren’t even tired, “they’re outdated” as one athletic trainer and other athletic director said to me today. Change for adults who control is always hard. It’s time to do what is right and long overdue for high school student athletes and families in Illinois. You’ll see why loud and clear beginning this week. **This is the first in a daily series.**
0:18

Let me ask you an honest question: Who’s your daddy? If you’re a high school student athlete in Illinois, the answer is easy when it comes to one’s “Right to Play.” It’s not your Mom or Dad. It’s a private third-party vendor called the Illinois High School Association (IHSA). If you play a high school sport, the IHSA controls you even when your school day is over and even more when school isn’t even in session. It’s long been an overreach of control from a small group of narrow-minded ego-driven adults literally dictating what student athletes and families can do in their free time. But much-needed and welcome change is getting closer for all student athletes and their families, as more and more student athletes and parents come forward from present and past to speak up and talk about the disadvantages the IHSA - and those who benefit from it - have and are causing. The first victory earlier this week was by slaughter rule, a 12-0 thumping over the IHSA in committee vote. Now it moves to the big leagues. You can read more here: I encourage you to engage and educate yourself in a topic that 75 percent of high school student athletes across the U.S. can do, but it’s something high school student athletes in Illinois can’t do. Over the next 30 days, you are going to see more stories and hear directly from student athletes, families, leading athletic trainers and doctors, school leaders from Illinois and other states on local and national media outlets talking about this overreach and how the IHSA continues to put student athletes at a disadvantage. So I ask you again: Since when does a private third-party vendor get to control what student athletes and their families do, especially during their free time? Think about that. As you’ll see once again, it’s another classic case of cherry-picking to benefit one’s self by an organization that has now lost three consecutive court cases due to its unlawful dictating overreach. As always, I’ll layout both sides and show you how this has and continues to work easily and well for high school student athletes and schools across the U.S. - except in Illinois. They’ll say “health & safety.” They’ll say “scheduling & other logistics.” I’ll show you how those stocked talking points aren’t even tired, “they’re outdated” as one athletic trainer and other athletic director said to me today. Change for adults who control is always hard. It’s time to do what is right and long overdue for high school student athletes and families in Illinois. You’ll see why loud and clear beginning this week. **This is the first in a daily series.**

Trost

11,116 Aufrufe • vor 1 Jahr

I genuinely think the Terafab is going to end up being one of the biggest moves ever made in human history to secure the future of AI... and I think most people still don’t fully see what Elon is trying to do here. The signs are clear to me. This is Tesla, xAI, and SpaceX essentially hinting to us that they are not going to wait on the world to give them the compute the team needs. They are going to build it themselves at a scale no one has ever attempted. When you really break it down, it gets a bit nutty. This is going to be a fully vertically integrated chip factory that will be producing over 1 terawatt of AI compute per year. This is NEXT LEVEL BIG. Today, AI is limited by chips. You can have the best models, the best engineers, the best everything... but if you don’t have enough compute, you will eventually hit a wall. Elon told us, the world can only supply a tiny fraction of the chips his companies will need. So this is the solution. Terafab puts everything under one roof like design, manufacturing, memory, packaging, testing, which means that they can build chips very fast.. like really fast. I'm talking about 100-200 billion custom AI chips per year at full capacity. Chips designed specifically for: • Tesla cars and Optimus robots • xAI models • Space-based compute You see, while other companies and CEOs are thinking Earth, Elon is planning for AI in space. Around ~80% of the compute is expected to go orbital, powered by solar energy bc Earth simply doesn’t have enough electricity. The U.S. grid is only about ~0.5 terawatts, while space has basically UNLIMITED energy if you can capture it. And this is the steps to get it: Starship launches → space compute → solar-powered AI → feeds back into everything to Earth. Bro... Elon and his companies are playing at a whole different level... And this is why I keep telling people that the Terafab is going to be the secret ingredient that will be the real unlock for everything: • Robotaxis at scale • Billions of Optimus robots • Massive AI models running 24/7 • Future off-world, other planet infrastructure Without these chips, none of this can happen... but with the Terafab, all of this becomes possible. That’s why Elon is calling it “the final missing piece.” I agree.
0:10

I genuinely think the Terafab is going to end up being one of the biggest moves ever made in human history to secure the future of AI... and I think most people still don’t fully see what Elon is trying to do here. The signs are clear to me. This is Tesla, xAI, and SpaceX essentially hinting to us that they are not going to wait on the world to give them the compute the team needs. They are going to build it themselves at a scale no one has ever attempted. When you really break it down, it gets a bit nutty. This is going to be a fully vertically integrated chip factory that will be producing over 1 terawatt of AI compute per year. This is NEXT LEVEL BIG. Today, AI is limited by chips. You can have the best models, the best engineers, the best everything... but if you don’t have enough compute, you will eventually hit a wall. Elon told us, the world can only supply a tiny fraction of the chips his companies will need. So this is the solution. Terafab puts everything under one roof like design, manufacturing, memory, packaging, testing, which means that they can build chips very fast.. like really fast. I'm talking about 100-200 billion custom AI chips per year at full capacity. Chips designed specifically for: • Tesla cars and Optimus robots • xAI models • Space-based compute You see, while other companies and CEOs are thinking Earth, Elon is planning for AI in space. Around ~80% of the compute is expected to go orbital, powered by solar energy bc Earth simply doesn’t have enough electricity. The U.S. grid is only about ~0.5 terawatts, while space has basically UNLIMITED energy if you can capture it. And this is the steps to get it: Starship launches → space compute → solar-powered AI → feeds back into everything to Earth. Bro... Elon and his companies are playing at a whole different level... And this is why I keep telling people that the Terafab is going to be the secret ingredient that will be the real unlock for everything: • Robotaxis at scale • Billions of Optimus robots • Massive AI models running 24/7 • Future off-world, other planet infrastructure Without these chips, none of this can happen... but with the Terafab, all of this becomes possible. That’s why Elon is calling it “the final missing piece.” I agree.

Teslaconomics

25,494 Aufrufe • vor 4 Monaten

WINDOWS // NYC is an interwoven city that we will all build out together. There are three collections that all interconnect, windows, buildings, and the city itself. Here is exactly how this will unfold with Transient Labs on Tuesday, June 16th. 🏢🏢🏢🏢🏢 BUILDINGS are generative grids of windows, assembled through an onchain seed derived from Ethereum block data and each work’s token ID, creating distinct sizes and layouts. My collectors, friends and family, and limited partner communities can mint these BUILDINGS before public at 0.015Ξ This presale window is FCFS will last two hours (12 NOON EST to 2 PM EST) All remaining supply will go to public at 0.018Ξ after the presale ends. Supply is 1/1/4000 total buildings, each grid is completely unique, and some have very special qualities :) 🪟🪟🪟🪟🪟 Individual windows are 1/1/1000, and each mint is one single window. This is gated at first to my existing collectors, max mint 50 windows per wallet. Priced at 0.03Ξ, blind mint with instant reveal- this section is packed with gems- cats, plants, neon signs, and a bit of New York City embedded in every frame. Its these single windows that are the foundational layer of this project, since all grids are comprised of these windows. All my existing collectors get these multipliers on mint day, final snapshot is MONDAY the 15th at high noon, EST. For example: Drips // 2x DRIVE Lap 1 // 3x DRIVE Lap 2 // 2x 1/1 // 5x Editions // 1x GRAILS from DRIVE and DRIP DROP have an additional allocation on top. To ask about specific collections of mine, drop a comment here. 🌃🌃🌃🌃🌃 Additionally, the major work of this collection is the CITY, a 1/1 interconnected dynamic galaxy of light composed of all the layers below. This also comes with a large, museum quality physical lightbox of all 1,000 windows illuminated from within. This work will be placed by private sale. The CITY contract will also hold 20 NEIGHBORHOODS, our second largest arrangements of WINDOWS, and can be customized in collaboration with the artist or accepted as random grids. NEIGHBORHOODS will have 15 tokens at 1Ξ for private sale, with 5 held back for top holders of BUILDINGS. I am so excited to build this city with all of you. I've never worked so hard on anything in my life, and I am so grateful to all of you for the support so far. Let's do this thing!!!!
0:12

WINDOWS // NYC is an interwoven city that we will all build out together. There are three collections that all interconnect, windows, buildings, and the city itself. Here is exactly how this will unfold with Transient Labs on Tuesday, June 16th. 🏢🏢🏢🏢🏢 BUILDINGS are generative grids of windows, assembled through an onchain seed derived from Ethereum block data and each work’s token ID, creating distinct sizes and layouts. My collectors, friends and family, and limited partner communities can mint these BUILDINGS before public at 0.015Ξ This presale window is FCFS will last two hours (12 NOON EST to 2 PM EST) All remaining supply will go to public at 0.018Ξ after the presale ends. Supply is 1/1/4000 total buildings, each grid is completely unique, and some have very special qualities :) 🪟🪟🪟🪟🪟 Individual windows are 1/1/1000, and each mint is one single window. This is gated at first to my existing collectors, max mint 50 windows per wallet. Priced at 0.03Ξ, blind mint with instant reveal- this section is packed with gems- cats, plants, neon signs, and a bit of New York City embedded in every frame. Its these single windows that are the foundational layer of this project, since all grids are comprised of these windows. All my existing collectors get these multipliers on mint day, final snapshot is MONDAY the 15th at high noon, EST. For example: Drips // 2x DRIVE Lap 1 // 3x DRIVE Lap 2 // 2x 1/1 // 5x Editions // 1x GRAILS from DRIVE and DRIP DROP have an additional allocation on top. To ask about specific collections of mine, drop a comment here. 🌃🌃🌃🌃🌃 Additionally, the major work of this collection is the CITY, a 1/1 interconnected dynamic galaxy of light composed of all the layers below. This also comes with a large, museum quality physical lightbox of all 1,000 windows illuminated from within. This work will be placed by private sale. The CITY contract will also hold 20 NEIGHBORHOODS, our second largest arrangements of WINDOWS, and can be customized in collaboration with the artist or accepted as random grids. NEIGHBORHOODS will have 15 tokens at 1Ξ for private sale, with 5 held back for top holders of BUILDINGS. I am so excited to build this city with all of you. I've never worked so hard on anything in my life, and I am so grateful to all of you for the support so far. Let's do this thing!!!!

Dave

46,097 Aufrufe • vor 1 Monat

Strait of Hormuz over the last 24 hours: the 8th deal? Since the TACO yesterday, Iranian news reported that the US may be willing to let Iran control inbound tanker flows. This is funny as shit because whoever controls inbound tankers essentially controls outbound flows. But who gives a shit about logic these days. Just as the market was set to open on Sunday, the US sent a convoy through the Oman lane where a panamax, Velos Amber, was spotted with its AIS turned off right before it entered. You can see it in the video from MarineTraffic. Shortly after, UKMTO reported that Iran fired something at the tanker. It did not hit, but it was likely another warning signal. What's clear is that the Oman lane is still active with firms like Kpler and other showing flows close to 3-5 million b/d. What's unclear is when the Iranians will implement enforcement on the Oman lane, especially for inbound tankers. I suspect we are near the end of this TACO nonsense. From an oil inventory standpoint, inbound VLCCs to the US will push commercial crude inventories to operational minimums just as SPR runs out at the end of August. Trump, along with the IEA, will have to announce another round of SPR. It's now or never.
0:12

Strait of Hormuz over the last 24 hours: the 8th deal? Since the TACO yesterday, Iranian news reported that the US may be willing to let Iran control inbound tanker flows. This is funny as shit because whoever controls inbound tankers essentially controls outbound flows. But who gives a shit about logic these days. Just as the market was set to open on Sunday, the US sent a convoy through the Oman lane where a panamax, Velos Amber, was spotted with its AIS turned off right before it entered. You can see it in the video from MarineTraffic. Shortly after, UKMTO reported that Iran fired something at the tanker. It did not hit, but it was likely another warning signal. What's clear is that the Oman lane is still active with firms like Kpler and other showing flows close to 3-5 million b/d. What's unclear is when the Iranians will implement enforcement on the Oman lane, especially for inbound tankers. I suspect we are near the end of this TACO nonsense. From an oil inventory standpoint, inbound VLCCs to the US will push commercial crude inventories to operational minimums just as SPR runs out at the end of August. Trump, along with the IEA, will have to announce another round of SPR. It's now or never.

HFI Research

67,844 Aufrufe • vor 7 Tagen

Trump’s Long Game to Topple the Iranian Regime Trump’s strike on Iran was not a random move. It was the final piece of a larger strategy that has been unfolding since he returned to office. Most people look at the February 28th strikes on Iran’s military targets and assume it was simply about protecting Israel or stopping an immediate threat. That is only the last scene. The groundwork had been laid for over a year. From the start of 2025, the administration moved on multiple fronts. Early 2025 focused on China. New tariffs and aggressive efforts to bring manufacturing back to the United States were framed as economic policy, but they also squeezed Beijing’s ability to fund partners and expand its military reach. Reduce the cash flow and you weaken the network. Throughout 2025, Russia remained locked in Ukraine. The United States kept support flowing while pressing Europe to shoulder more of the burden. The result was strategic containment. Moscow stayed preoccupied in its own region, limiting its ability to meaningfully back Iran or Venezuela if tensions escalated elsewhere. By mid-2025, the strategy escalated with Operation Midnight Hammer. During the intense Twelve-Day War between Israel and Iran in June, U.S. forces launched precision strikes using B-2 Spirit stealth bombers and submarine-launched Tomahawk missiles against Iran’s primary nuclear enrichment facilities at Fordow, Natanz, and Isfahan. The operation delivered a devastating blow to Iran’s nuclear program with Massive Ordnance Penetrators, significantly setting back Tehran’s ambitions while remaining narrowly tailored to avoid full-scale war. Late 2025 brought a targeted operation inside Iran. US forces struck senior Quds Force figures and disrupted coordination hubs tied to partners in Latin America and the Middle East. Weapons pipelines were slowed. It was a demonstration of reach and precision without triggering a full scale war. A shaping move. On January 3, 2026, US forces captured Nicolás Maduro and his wife in Caracas. This dismantled a sanctions evasion channel that helped Iran move oil revenue. It also disrupted Iranian and Hezbollah networks operating out of Venezuela. The signal was blunt. Geographic distance would not guarantee safety. By February 28th, the stage was set. The strikes on Iran’s nuclear infrastructure and key military sites followed. Iran’s Supreme Leader and several senior commanders were killed. The stated objective was not occupation, but degradation. Set back the nuclear program, weaken proxy confidence, and deter a broader regional arms race. Now we are seeing rapid reactions from activist groups linked to Neville Singham. Singham, an American businessman living in Shanghai, has been associated with funding organizations such as The People’s Forum and Code Pink. After prior US actions involving Iran and Venezuela, these groups mobilized quickly with coordinated statements and protests. Trump’s moves were cutting off key money routes and strategic partnerships that help China. Venezuela and Iran were important pieces in Beijing’s bigger global plan for cash, influence, and power. Whenever the U.S. took action, the 2025 Iran hit, grabbing Maduro, or the large strikes in Iran, these well-funded organizations quickly organized protests, statements, and rallies as pushback. When you connect the dots, it becomes super clear: The tariffs on China, the ongoing support for Ukraine, the targeted ops inside Iran in 2025, capturing Maduro in Venezuela, and the strikes that occurred today, these weren’t random or separate moves at all. They were all connected steps in one smart, long-term plan. The goal was simple: break up this loose group of countries working together before they could team up tighter and become a real, lasting challenge to America’s power in the world.
0:10

Trump’s Long Game to Topple the Iranian Regime Trump’s strike on Iran was not a random move. It was the final piece of a larger strategy that has been unfolding since he returned to office. Most people look at the February 28th strikes on Iran’s military targets and assume it was simply about protecting Israel or stopping an immediate threat. That is only the last scene. The groundwork had been laid for over a year. From the start of 2025, the administration moved on multiple fronts. Early 2025 focused on China. New tariffs and aggressive efforts to bring manufacturing back to the United States were framed as economic policy, but they also squeezed Beijing’s ability to fund partners and expand its military reach. Reduce the cash flow and you weaken the network. Throughout 2025, Russia remained locked in Ukraine. The United States kept support flowing while pressing Europe to shoulder more of the burden. The result was strategic containment. Moscow stayed preoccupied in its own region, limiting its ability to meaningfully back Iran or Venezuela if tensions escalated elsewhere. By mid-2025, the strategy escalated with Operation Midnight Hammer. During the intense Twelve-Day War between Israel and Iran in June, U.S. forces launched precision strikes using B-2 Spirit stealth bombers and submarine-launched Tomahawk missiles against Iran’s primary nuclear enrichment facilities at Fordow, Natanz, and Isfahan. The operation delivered a devastating blow to Iran’s nuclear program with Massive Ordnance Penetrators, significantly setting back Tehran’s ambitions while remaining narrowly tailored to avoid full-scale war. Late 2025 brought a targeted operation inside Iran. US forces struck senior Quds Force figures and disrupted coordination hubs tied to partners in Latin America and the Middle East. Weapons pipelines were slowed. It was a demonstration of reach and precision without triggering a full scale war. A shaping move. On January 3, 2026, US forces captured Nicolás Maduro and his wife in Caracas. This dismantled a sanctions evasion channel that helped Iran move oil revenue. It also disrupted Iranian and Hezbollah networks operating out of Venezuela. The signal was blunt. Geographic distance would not guarantee safety. By February 28th, the stage was set. The strikes on Iran’s nuclear infrastructure and key military sites followed. Iran’s Supreme Leader and several senior commanders were killed. The stated objective was not occupation, but degradation. Set back the nuclear program, weaken proxy confidence, and deter a broader regional arms race. Now we are seeing rapid reactions from activist groups linked to Neville Singham. Singham, an American businessman living in Shanghai, has been associated with funding organizations such as The People’s Forum and Code Pink. After prior US actions involving Iran and Venezuela, these groups mobilized quickly with coordinated statements and protests. Trump’s moves were cutting off key money routes and strategic partnerships that help China. Venezuela and Iran were important pieces in Beijing’s bigger global plan for cash, influence, and power. Whenever the U.S. took action, the 2025 Iran hit, grabbing Maduro, or the large strikes in Iran, these well-funded organizations quickly organized protests, statements, and rallies as pushback. When you connect the dots, it becomes super clear: The tariffs on China, the ongoing support for Ukraine, the targeted ops inside Iran in 2025, capturing Maduro in Venezuela, and the strikes that occurred today, these weren’t random or separate moves at all. They were all connected steps in one smart, long-term plan. The goal was simple: break up this loose group of countries working together before they could team up tighter and become a real, lasting challenge to America’s power in the world.

Jammles

123,677 Aufrufe • vor 5 Monaten

The Bro Split that every young lad gets sold on looks like this.⠀ ⠀ Monday: Chest⠀ Tuesday: Back⠀ Wednesday: Rest⠀ Thursday: Legs⠀ Friday: Shoulders⠀ Saturday: Arms⠀ Sunday: Rest⠀ ⠀ And yes, Arnold did it. Arnold also took enough drugs to sedate a medium-sized country, so perhaps not the most transferable template.⠀ ⠀ The problem is simple. Each muscle here gets hit once a week. Train hard enough and you'll trigger a window of muscle protein synthesis that runs for roughly 2-3 days. After that the window closes, and the muscle fibres begin to catabolise slowly. The back half of the week isn't neutral. It's quietly eroding the growth stimulus you picked up on Monday.⠀ ⠀ Once a week is not a holding pattern. It's a losing one.⠀ ⠀ The fix is training each muscle at least twice. An upper/lower split does this cleanly.⠀ ⠀ Monday: Upper⠀ Tuesday: Lower⠀ Wednesday: Rest⠀ Thursday: Upper⠀ Friday: Rest⠀ Saturday: Lower⠀ Sunday: Rest⠀ ⠀ Same days in the gym. Every muscle getting two shots at the growth window per week instead of one.⠀ ⠀ If there's a specific muscle you want to bring up faster, glutes being the obvious example, you can push that to three times a week with a full body approach, hitting the priority muscle first in every session when you're freshest.⠀ ⠀ Monday: Full Body (glutes first)⠀ Wednesday: Full Body (glutes first)⠀ Friday: Full Body (glutes first)⠀ ⠀ More frequent stimulus. More growth windows captured. Less of the week spent sliding backwards.⠀ ⠀ The Bro Split isn't useless. It just isn't optimal. And if you're going to spend the time, you may as well spend it on something that actually works.⠀ ⠀ Minimum twice a week per muscle. Three if you're serious about a lagging group. The rest is just detail.
0:15

The Bro Split that every young lad gets sold on looks like this.⠀ ⠀ Monday: Chest⠀ Tuesday: Back⠀ Wednesday: Rest⠀ Thursday: Legs⠀ Friday: Shoulders⠀ Saturday: Arms⠀ Sunday: Rest⠀ ⠀ And yes, Arnold did it. Arnold also took enough drugs to sedate a medium-sized country, so perhaps not the most transferable template.⠀ ⠀ The problem is simple. Each muscle here gets hit once a week. Train hard enough and you'll trigger a window of muscle protein synthesis that runs for roughly 2-3 days. After that the window closes, and the muscle fibres begin to catabolise slowly. The back half of the week isn't neutral. It's quietly eroding the growth stimulus you picked up on Monday.⠀ ⠀ Once a week is not a holding pattern. It's a losing one.⠀ ⠀ The fix is training each muscle at least twice. An upper/lower split does this cleanly.⠀ ⠀ Monday: Upper⠀ Tuesday: Lower⠀ Wednesday: Rest⠀ Thursday: Upper⠀ Friday: Rest⠀ Saturday: Lower⠀ Sunday: Rest⠀ ⠀ Same days in the gym. Every muscle getting two shots at the growth window per week instead of one.⠀ ⠀ If there's a specific muscle you want to bring up faster, glutes being the obvious example, you can push that to three times a week with a full body approach, hitting the priority muscle first in every session when you're freshest.⠀ ⠀ Monday: Full Body (glutes first)⠀ Wednesday: Full Body (glutes first)⠀ Friday: Full Body (glutes first)⠀ ⠀ More frequent stimulus. More growth windows captured. Less of the week spent sliding backwards.⠀ ⠀ The Bro Split isn't useless. It just isn't optimal. And if you're going to spend the time, you may as well spend it on something that actually works.⠀ ⠀ Minimum twice a week per muscle. Three if you're serious about a lagging group. The rest is just detail.

Sama Hoole

24,136 Aufrufe • vor 3 Monaten