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Small tweaks, big results ⛳ Golf is proof that tiny changes create massive improvements: 🔹 Narrow stance = better contact & compression 🔹 Flare lead foot 45° = easier hip rotation 🔹 "L to L" swing = simple thought, solid strike 🔹 Lean slightly toward target = no more...

37,524 просмотров • 1 месяц назад •via X (Twitter)

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I feel like the Jays fans are going through what we went through last year with Devin Williams. A year after giving up a historical, gut punching home run to be a big factor in losing his team a do/die game, the underlying metrics have looked amazing but haven't matched the results in the slightest. The peripherals on his season are outstanding. 🔹2.68 xERA || 2.31 FIP || 1.78 xFIP || 🔹99th-100th percentile Chase%, whiff%, K%..the stuff is stuffing. And he only has a 6.9% BB rate. 🔹A 37.9 K% - 6.9 BB% is absurdly good and this is one of the best predictive metrics we have in the sport 🔹Also limits hard contact: 6.5% Barrel rate and 30.6% Hardhit rate 🔹Andddd keeps balls on the ground for the most part But the results make no sense: 4.62 ERA (now higher obviously) .492 BABIP 68.8% LOB 16.7 HR/FB% This is almost identical to what we went through with Devin. On the one side, a lot of the data guys are (and understandably) saying this is a really good pitcher that needs more time for things to come back down to earth. But then you have more of the not-so data crowd (+ even some of the data crowd by now) saying this is a guy that shouldnt see high leverage again. And I understand both, just as I did with the Devin situation. It's hard to fault fans for just not wanting any part of this after what happened last year + what they feel as a fan this year. But then again, it's hard to ignore how dam good the data looks too, which is more often more correct than the eye.

Yankees Stats

61,938 просмотров • 3 месяцев назад

Victor Davis Hanson Exposes the Democrats’ Sinister Plan to Destroy America—A 10-Point Breakdown For years, we’ve been told the Democratic Party has no real agenda, that they’re just aimlessly opposing President Donald J. Trump Donald J. Trump and Elon Musk while clinging to power. But Victor Davis Hanson has peeled back the curtain, exposing the organized, calculated destruction they are orchestrating behind the scenes. Make no mistake—this is not incompetence. It’s a deliberate strategy to collapse America from within, weaken its institutions, and install permanent leftist rule. 🚨 Here’s the Democrats’ True 10-Point Plan to Destroy the Nation: 1️⃣ Demonize & Destroy Trump and Musk The left sees Trump and Musk as their two biggest threats. Trump, because he is the leader of the populist, America First movement, and Musk, because he disrupted their control over social media and free speech. 🔹 Trump is painted as "Mussolini-like", a dictator who must be destroyed at all costs. They fabricate criminal charges, coordinate deep-state prosecutions, and weaponize the legal system against him. 🔹 Musk is attacked for allowing free speech on X (formerly Twitter), exposing government collusion with Big Tech, and creating independent wealth and influence outside of their control. The strategy? Depersonalize, dehumanize, and destroy both men—so no one else dares to stand up. 2️⃣ Flood the Country with Illegals & Overwhelm the System Under Biden, over 12 million illegal immigrants have entered the U.S. This is NOT an accident. 🔹 The left wants to dilute the power of American citizens, using illegal immigrants as a permanent underclass to vote Democrat in exchange for government handouts. 🔹 Sanctuary cities shield criminals, and even violent offenders avoid deportation because stopping ICE is part of the plan. 🔹 The burden on hospitals, schools, and social programs is intentional, designed to crash the system and make Americans dependent on government welfare. The endgame? Flood America with illegals, grant them voting rights, and turn every election into one-party rule. 3️⃣ Elevate Hamas & Radical Islam Over Israel & The West Democrats have openly sided with Palestinian extremists and are pushing a radical anti-Israel agenda. Why? 🔹 They foster Jew-hatred to divide and destabilize the country, allowing radicals to control the narrative on college campuses and in the streets. 🔹 Pro-Hamas activists are protected while Christian and Jewish voices are censored and persecuted. 🔹 Israel, America’s closest ally in the Middle East, is being systematically undermined in favor of terrorist sympathizers. The strategy? Stoke radical unrest, import Middle Eastern conflicts onto American soil, and create permanent social division. 4️⃣ Runaway Spending to Collapse the Economy The national debt is at $36 TRILLION, and Democrats refuse to stop spending. 🔹 Biden has added $7-8 trillion in new debt, knowing full well the system cannot sustain it. 🔹 Massive government waste is ignored, and agencies like the FBI, IRS, and CDC are used as political weapons instead of being reformed. 🔹 Inflation is intentional—they want to devalue your dollar, destroy savings, and force dependency on government. The goal? A financial meltdown that justifies “emergency measures”, like a digital currency, social credit scores, and the erosion of economic freedom. 5️⃣ Permanent War—At Any Cost The Democrats are fully committed to endless war in Ukraine with no accountability and no exit strategy. 🔹 Hundreds of billions have been funneled into Ukraine, with no oversight and no audit. 🔹 Biden’s State Department rejects peace talks because keeping the war going weakens Russia while allowing the U.S. military-industrial complex to profit. 🔹 They are willing to fight to the last Ukrainian, sacrificing millions to keep their war machine running. The goal? Perpetual war to justify expanding government power, crushing dissent, and laundering billions through foreign conflicts. 6️⃣ Push DEI & Woke Ideology to Undermine Meritocracy Diversity, Equity, and Inclusion (DEI) is nothing more than state-sponsored discrimination. 🔹 Competence is being replaced by skin color quotas—even in critical jobs like air traffic control, law enforcement, and medicine. 🔹 Race-based hiring is dividing the country, making mediocrity the standard and eroding competitiveness. 🔹 Disloyal radicals are being placed in government and corporate positions to push Marxist ideology from within. The goal? Make race and identity politics the new standard, ensuring division, resentment, and decay. 7️⃣ Unleash Chaos & Political Violence The Democratic Party is actively encouraging civil unrest: 🔹 Screaming down opponents in Congress, refusing to allow civil discourse. 🔹 Encouraging mobs at town halls to create the illusion of popular support. 🔹 Pushing for radical protests and violent riots when their agenda is challenged. The objective? Normalize mob rule, voter intimidation, and street activism as acceptable tactics. 8️⃣ Normalize Profanity & Depravity to Degrade Society The left has abandoned civility and morality, choosing instead to embrace vulgarity and degeneracy: 🔹 Elected officials scream profanity in public to appear "authentic." 🔹 Social media is flooded with vile, degrading content while conservative voices are censored. 🔹 Destroying traditional values through hyper-sexualization, woke indoctrination, and attacks on religion. The goal? Lower standards, erase American dignity, and make barbarism the new normal. 9️⃣ Hide Their Agenda with Fake Crises & Manufactured Outrage Whenever the left faces backlash, they create a new distraction: 🔹 Another Trump indictment whenever Biden’s corruption gets exposed. 🔹 A new “racism” scandal to divert from their failures. 🔹 Climate hysteria, pandemics, or emergency declarations to justify crackdowns on liberty. The plan? Keep America permanently distracted, so the real destruction goes unnoticed. 🔟 Slow, Silent Decline Instead of Rapid Restoration The left doesn’t want progress—they want managed decline: 🔹 They are happy to let America decay slowly, as long as they stay in power. 🔹 A weak, demoralized, dependent population is easier to control than a self-sufficient one. 🔹 The ultimate goal is a European-style socialist state, where government controls healthcare, industry, and speech. 🔴 The Final Question: Will Americans Wake Up Before It’s Too Late? The left THRIVES on apathy. They hope you do nothing. They want you distracted, hopeless, and silent. 🔥 But we are not powerless. We can fight back. 📢 Spread the truth. Share this video. Expose their plan. 📌 WATCH THE FULL BREAKDOWN HERE:

Francois Leclerc

24,889 просмотров • 1 год назад

EXCLUSIVE. Who is funding the anti-Trump #NoKings protests? It's 198 companies with $2.1 billion in revenues. WATCH and READ to learn. I wanted to hear it straight from the source—so on Tuesday, I tuned into a live town hall with AFT’s Randi Weingarten 🇺🇸 🖇️👩‍🎓📚, Reverend Al Sharpton Sharpton from National Action Network, and @LeahGreenbergB of Indivisible Guide ❌👑. They proudly laid out the nationwide anti-Trump protests they’ve planned for this Saturday, June 14, under the banner #NoKings. I recorded the town hall—and I’m sharing the video with you here. They admit they’re organizing these protests. And they’re not grassroots players. These are top-tier Democratic Party operatives, with enormous influence and funding. But when I started following the money behind the full list of protest "partners," I realized that these three are just the tip of the iceberg. According to research by the Pearl Project—a nonprofit journalism initiative I lead, named in honor of Wall Street Journal reporter Daniel Pearl—the 198 organizations that say they are organizers of the #NoKings protests are not just grassroots citizens. They're all aligned with the Democratic Party, and many claim to be “nonpartisan” despite acting as political operatives. Together, these groups report more than $2.1 BILLION in total annual revenue. 🔹 Read and share my full breakdown Fox News Opinion Fox News: 🔹 Explore the database here: (Enjoy, DataRepublican (small r), and share with me any recommendations to make this better!) Why follow the money? Because from Los Angeles to D.C., we’ve seen these protests escalate into violence—and we must understand who’s behind them to understand why. These aren’t mom-and-pop protestors. This is an elite class of political influencers using nonprofit structures to operate like a shadow government. Just look at their annual salaries: 🔹Randi Weingarten: $474,951 🔹Al Sharpton: $648,786 🔹ACLU’s Anthony Romero: $1.3 million Fairfax County citizen Lissa Kenkel 🟦 Nurit 🇮🇱🇺🇸, who helped me cull the financial data, puts it well: “The very people bankrolling and leading these so-called grassroots movements are the crowned royalty of the nonprofit world, sitting in their air-conditioned offices, collecting six-figure salaries, while encouraging the common folk to torch their own cities in the name of ‘saving democracy.’" "It’s manufactured chaos, sold as revolution, by people who wouldn’t last five minutes in the rubble they’re creating.” Here’s the #NoKings protest funding breakdown, and I'll list all the groups in a thread: 🔹 3 official entities of the Democratic National Committee: College Democrats of America, Manhattan Young Democrats and Westside Democratic Headquarters in Norwalk, Calif. 🔹 16 Democratic political action committees, or PACs, including Friends of Bernie Sanders, Progressive Democrats of America and Vote Blue — with about $19.4 million in spending power for Democratic political candidates. 🔹 18 Democratic-aligned 501(c)(5) labor unions, including lead organizer, the American Federation of Teachers, along with the United Auto Workers, the Communications Workers of America and the National Treasury Employees Union, with a total of $1.1 billion in revenues, most of their political contributions going to Democratic candidates. 🔹 76 Democratic-aligned 501(c)(4) political nonprofits, including the ACLU, Sierra Club, League of Conservation Voters, Working Families Organization Inc., Human Rights Campaign, Planned Parenthood Action Fund and lead organizer Indivisible Project, all with another $734.3 million in revenues. 🔹47 501(c)(3) nonprofits, legally restricted from partisan advocacy, including innocuous-sounding groups like the Unitarian Universalist Association, Accountable US and the American Humanist Association, with $286.7 million to the cause. 🔹38 additional Democratic-aligned groups, including Michigan Resistance Coalition, Families Over Billionaires, 50501, Tax the Greedy Billionaire and Mennonite Action, with undisclosed financials. TOTAL: 198 groups with $2.1 billion in annual revenue behind #NoKings But this isn’t just about June 14. Many of the same groups also organized earlier protests like #TeslaTakedown, #HandsOff, and #MayDay. In those protests, we identified 267 more organizations with a combined $1.3 billion in annual revenue. That brings the total to: 🔹 475 organizations 🔹 $3.4 billion in annual budgets 🔹 All aligned against Trump’s movement And we’re not done. My database includes another 1,500+ organizations—many involved in anti-Israel protests, anti-ICE demonstrations, and other coordinated mass mobilizations. Stay tuned for those results. This is not a grassroots movement. It’s a billion-dollar machine dressed in protest gear. If you want to help turn this database into a user-friendly public app, please contact me at [email protected], DM me, or visit to support this work. Our vision at the Pearl Project? A Carvana for the protest industry—a searchable, transparent tool that helps moms, cops, citizens, and journalists understand who’s behind the chaos in our streets, using the best practices of AI, natural language processing and gumshoe reporting. Thank you for your support!

Asra Nomani

1,811,807 просмотров • 1 год назад

Fernando Tatis Jr is hitting .242 with a 3.5° average launch angle and a career-low 20% pull rate. Everyone has ideas and analysis on how to fix Fernando Tatis Jr’s swing. It’s pretty awful and I can’t take anymore of this, I have to say something because I haven’t seen a single person give the right answer. I’ve seen multiple people talk about timing mechanisms like toe tap, stride, and leg lift in his swing mechanics that have absolutely nothing to do with his problem. That reverting to past timing mechanisms would somehow help him. THEY ARE ALL WRONG Because they’re all looking in the wrong place. This isn’t a stride problem or timing problem. It’s a tilt problem. Stride, leg lift, and toe tap are timing mechanisms. They control WHEN the hips fire not HOW the bat moves through the zone. A hitter with a Sosa leg kick and a no-stride Ichiro stance can produce identical launch angles.Timing has no lever that touches the bat at contact. What actually sets launch angle is attack angle or the vertical direction the bat is traveling at the moment it meets the ball. Swing up through the zone = ball lifts Swing flat = grounders Swing down = choppers Attack angle is the only mechanical input that matters for elevation and attack angle isn’t random. It’s a direct output of shoulder tilt. When the trail shoulder drops below the lead shoulder at contact, the entire swing axis tilts. The bat is now forced to travel upward through the zone. More tilt > steeper attack angle > higher launch angle. Period. Tatis’s attack angle tells the entire story: 2023: +12° attack angle, +1° pull-side direction/25 HRs 2024 : +10° attack angle. -2° oppo direction 21HRs in 104 games 2025: +8° attack angle, 0° direction/25 HRs, healthy 2026: +5° attack angle, −5° oppo direction His swing has flattened AND drifted away from his pull side. Both are tilt collapse. That −5° oppo attack direction is the giveaway. When you lose tilt, your bat doesn’t just flatten it also gets steered toward the opposite field, because a level swing naturally pushes the barrel away from your pull side. He’s not late. He’s not under-striding. His axis collapsed Over the last few years and it’s worse than ever this year. This explains the 20% pull air rate too. Pulling the ball in the air requires positive attack angle AND a contact point out front. (Ramon Laureanos 2025 attack Angle was +14) If you tinker with timing on a flat swing, an earlier contact point just produces a pull-side grounder. The direction changes. The launch angle does not. Let me break it down for you: Stride > Weight Shift > Hip Rotation >TILT > ATTACK ANGLE > BAT PATH > Contact > Launch Angle Stride is four steps upstream. Tilt is the gate. Attack angle is the output that actually moves the ball. So now we know what’s wrong, how do we fix him? Souza and the Padres staff need to focus on the following; 1.Restore 8–12° rear-high shoulder tilt 2.Get attack angle back to +10° to +12° with neutral or +1° pull direction 3.THEN evaluate timing tweaks 4. If someone is telling him to flatten out his swing or to let the ball travel more PLEASE STOP DOING THAT. That doesn’t work for him You cannot time your way to elevation. Fix the tilt. Attack angle returns. Pull air follows. Please watch the video to see how his swing has gotten worse and flatter. We only have bat path data starting in 2023

Mission Valley Mafia

160,950 просмотров • 4 месяцев назад

Sharon fighting other Sharon Seedance 2.5 on DomoAI official prompt Image : SHARON'S REAL FACE — sole source of her features, 100% match, zero drift: soft rounded oval face, warm light-beige skin with tiny freckles and beauty marks, GREEN eyes, dense straight feathered brows, small neat nose, full pink lips, small silver drop earring. image Image STYLE / PRIORITY Ultra-photorealistic live-action AAA Hollywood action film, ARRI ALEXA 65, IMAX, Panavision anamorphic, premium restrained semi-CGI VFX. Realistic anatomy, weight, gravity, momentum, and authentic Taekwondo biomechanics. One continuous uninterrupted 10-second combat shot, 16:9. **CHARACTERS** Image = FIGHTER. image2 = ENEMY. Preserve both references exactly: face, facial anatomy, eyes, hairstyle, physique, proportions, clothing, accessories, silhouette, identity. If references are sketches, use only as design blueprints; render as fully realistic live-action humans. Maintain consistency throughout. **COMBAT** Hand-to-hand only, no weapons. Both fighters remain aggressive and reactive. No passive waiting, idle stance, reset, teleportation, or position jumps. **00:00–00:02 — OPENING EXCHANGE** Start mid-fight. Image2 attacks: straight punch → hook → low kick. Image parries → slips under hook → checks low kick → immediately counters with fast body kick. Image2 blocks and is pushed backward. Both instantly reposition. Low-angle camera rapidly circles them. **00:02–00:03 — OPENING** she attacks again. Image1 narrowly sidesteps, pivots outside the attack angle, and image2 turns toward him, briefly exposing the torso. Image explosively accelerates forward. Camera drops toward the feet. Supporting foot plants and hip rotation begins. **00:03–00:04.5 — CYCLONE 1** **DOLLYO CHAGI:** natural supporting-foot pivot, hip and torso rotation, kicking leg extends into Image2's torso. Realistic displacement, clothing compression and dust. 0.20s hyper slow motion only at impact, then instantly full speed. Landing immediately feeds the next rotation—NO RESET. **00:04.5–00:06 — CYCLONE 2** **TORNADO KICK:** landing momentum converts directly into explosive pivot and airborne rotation. Full-body rotation, kicking leg strikes Image2, driving him sideways. Camera rapidly orbits the airborne Fighter. Natural landing preserves rotational momentum. NO RESET. **00:06–00:07.5 — CYCLONE 3** **DWI HURRYEO CHAGI:** immediate continuous rotation. Hips and shoulders rotate together; heel/back of foot follows a clean circular trajectory and connects. Image2 is redirected sideways. 0.20s hyper slow motion at impact, dust/debris briefly suspended, heavy THOOM, then full speed. Rotation continues. **00:07.5–00:08.5 — CYCLONE 4** **SPINNING HEEL KICK:** no stance reset. Supporting foot establishes axis, rapid hip/torso rotation, heel travels circularly through Image2's raised guard and connects. Image2 is driven backward. Camera performs a fast 270° orbit. Image1 keeps rotating after impact. **00:08.5–00:10 — FINAL CYCLONE** **FINAL TORNADO KICK — STRONGEST IMPACT.** Maximum rotational acceleration, explosive ground push, vertical lift, rapid airborne rotation. Camera drops low then rises with Image Final kick connects with maximum physical force. 0.25s hyper slow motion, extreme close-up showing foot contact, clothing compression, natural facial reaction, dust/debris and camera recoil, then THOOOOOM and immediate full speed. Image2 is violently displaced backward across the arena. Image lands naturally and continues moving forward. No hero pose, no victory pose, no freeze. **ROTATIONAL MOMENTUM LOCK** The five techniques must function as ONE connected sequence: **DOLLYO CHAGI → LAND → TORNADO KICK → LAND → DWI HURRYEO CHAGI → SPINNING HEEL KICK → FINAL TORNADO KICK.** Never kick → stop → stance → kick. Always kick → momentum → rotation → kick → momentum → rotation → kick. **PHYSICS / CAMERA** Every movement is physically traveled through: footwork, pivots, hip rotation, torso rotation, leg acceleration, jump force and rotational momentum. Image2 reacts naturally according to impact direction; no exaggerated ragdoll or floating. Camera constantly chases the fighters using low-angle tracking, ground pursuit, lateral/reverse tracking, fast orbit, whip-pans, snap-reframes, impact jolts, rapid push-ins and low-angle aerial follow. Aggressive movement but each kick remains clearly readable. No excessive motion blur or camera shake. **ENVIRONMENT / VFX / AUDIO** Large cinematic outdoor combat arena with realistic ground, dust, small debris and detailed environmental depth; never an empty studio. Restrained photorealistic VFX: dust, debris, air displacement, natural motion streaks only. No aura, energy, glow or magic. No music. Realistic footsteps, shoe friction, punches, kicks, cloth movement, air whooshes, dust, body impacts and heavy final THOOM. **NEGATIVE** Teleportation, clones, duplicates, extra/missing limbs, malformed anatomy, broken joints, rubber/stretching limbs, disconnected body parts, impossible spine rotation, floating, weightless movement, random position jumps, kick-stop-kick, attack-wait-attack, idle pose, static/locked/gameplay camera, excessive shake, excessive motion blur, prolonged slow motion, unreadable action, looping animation, repeated identical kicks, giant aura, energy beams, magical powers, glowing body, cartoon, cel shading, videogame graphics, gore, blood, subtitles, text, logo, watermark, freeze frame, hero pose, victory pose, fade-out. **HIGHEST PRIORITY:** Hand-to-hand Taekwondo combat. Image = Fighter, Image2 = Enemy. Continuous realistic biomechanics. DOLLYO CHAGI → TORNADO KICK → DWI HURRYEO CHAGI → SPINNING HEEL KICK → FINAL TORNADO KICK, with zero idle, zero reset, zero teleportation, continuous rotational momentum, realistic enemy reactions, constantly moving camera, micro slow-motion only on decisive impacts, strongest final impact, and no hero pose.16:9.16:9.16:9.

Sharon Riley

42,292 просмотров • 26 дней назад

Understanding the BitTorrent Swarm — A Broader Look With Real Data Dynamics BitTorrent isn’t just a file-sharing protocol; it’s one of the most efficient large-scale distribution systems ever designed. At its core lies a simple but powerful principle: when users contribute bandwidth, the entire network accelerates. This is the swarm and its efficiency can be explained through clear data patterns and network behavior. 🔹 The Swarm Model: How Participation Becomes Performance In a traditional client-server setup, bandwidth is fixed. If 10,000 users try to download a 1 GB file from one server with 1 Gbps bandwidth: ➠ Maximum theoretical throughput per user: 0.1 Mbps ➠ Average download time: 2–3 hours ➠ Server overload: very likely BitTorrent rewrites this logic. When 10,000 users join a swarm and each contributes only 50–200 Kbps of upload bandwidth, the network’s total available throughput multiplies thousands of times. This is why, in real swarm studies: ➠ Larger swarms consistently show 30–400% faster download speeds ➠ Popular torrents reach equilibrium within minutes, not hours ➠ Throughput per user remains stable even under heavy demand BitTorrent’s efficiency grows with usage — something centralized systems struggle with. 🔹 Why More Peers = More Speed (Backed by Data Behavior) BitTorrent breaks files into hundreds or thousands of small pieces. Each piece circulates among peers using a strategy called rarest-first ensuring no piece becomes a bottleneck. Here’s what the data shows: 1. Bandwidth multiplication effect If each peer contributes: ➠ 100 peers × 100 Kbps upload = 10 Mbps swarm capacity ➠ 5,000 peers × 150 Kbps upload = 750 Mbps swarm capacity ➠ 20,000 peers × 200 Kbps upload = 4 Gbps swarm capacity This turning point when collective bandwidth surpasses any server is why torrents of large files often download faster than centralized sources. 2. Availability resilience Even if 90% of peers leave, as long as one full copy exists across the swarm’s collective pieces, the file is recoverable without interruption. 3. Load balancing automatically occurs BitTorrent’s choking/unchoking algorithm ensures: ➠ High-bandwidth peers exchange more data ➠ Low-bandwidth peers still participate ➠ No single peer becomes a bottleneck The data flow adapts in real time based on peer performance. 🔹 The Swarm’s Global Impact: Why It Still Matters BitTorrent traffic routinely accounts for: ➠ 10–20% of global internet upload traffic (varies by region) ➠ Multiple petabytes of data exchanged daily ➠ Millions of active swarms at any given time The model works because it scales with demand: ➠ More users → more bandwidth. ➠ More bandwidth → faster delivery. ➠ Faster delivery → stronger swarm health. This “self-reinforcing cycle” is a core reason decentralized systems from Web3 storage to blockchain data sync borrow heavily from BitTorrent’s architecture. 🔹 The Big Picture The BitTorrent swarm illustrates an important truth about decentralized networks: Efficiency doesn’t come from the center it comes from participation. When thousands of people contribute small amounts of bandwidth, the result is a global system capable of speeds that outperform traditional content delivery models. This is not just technology; it’s cooperative acceleration at internet scale. In One Line Files move faster when everyone contributes and BitTorrent proves it with real data. H.E. Justin Sun 👨‍🚀 🌞 BitTorrent #TRONEcoStar #BitTorrent #SwarmNetwork #DataAnalysis #DecentralizedSystems #P2P

catalina ossa

50,297 просмотров • 9 месяцев назад

Would you believe this was real if I didn’t tell you? Seedance 2.5 just crossed a weird line. Prompt: Create a 30-second, 1080p ultra-realistic documentary-style personal home video capturing a completely ordinary summer day in the life of a Japanese man in his early 20s. The footage should feel accidental, intimate, nostalgic, imperfect, and genuinely lived rather than scripted or performed. MAIN SUBJECT The same Japanese man throughout the entire video. Early 20s, naturally handsome without looking like a model, realistic skin texture, slightly tired eyes, relaxed facial expressions, naturally messy medium-length dark hair, a few loose strands across his forehead, very subtle stubble. He wears a loose faded navy T-shirt, light gray relaxed-fit pants, worn canvas sneakers, and a simple silver wristwatch. His identity, facial features, hairstyle, body proportions, clothing, accessories, and overall appearance must remain completely consistent throughout. SETTING An older residential part of Japan during a humid summer afternoon. Small apartment buildings, narrow streets, convenience-store refrigerators visible through windows, concrete staircases, old balconies, rooftop water tanks, bicycles, utility poles, tangled overhead wires, potted plants, faded walls, parked cars, open windows, and distant city buildings. The environment should feel ordinary and genuinely inhabited. No tourist landmarks, recognizable brands, advertisements, crowds, or staged-looking locations. CAMERA The entire video looks like footage recorded casually by a friend using an inexpensive older compact digital camera. Handheld and imperfect. Natural shake from walking. Occasional awkward framing. Slight autofocus hunting. Brief exposure shifts when moving indoors and outdoors. Mild digital noise. Soft details. Slight motion blur. Muted summer colors. Occasional blown highlights. Subtle compression artifacts. The camera operator does not behave like a professional cinematographer. No gimbal. No drone. No cinematic tracking shots. No dramatic lighting. No slow motion. No artificial film grain. No polished commercial aesthetic. The camera sometimes points slightly too low or too high and corrects itself naturally. ⸻ 00:00–00:05 — LAUNDRY The man stands on a small apartment balcony hanging freshly washed clothes. A humid breeze moves the laundry around him. One shirt slips from his hand and falls onto the balcony floor. He looks down, sighs with a small amused smile, picks it up, shakes it once, and hangs it again. The camera is positioned from inside the apartment doorway. Someone quietly laughs behind the camera. He briefly looks toward the camera with an expression that says he knows he’s being filmed. Natural household ambience. ⸻ 00:05–00:10 — KITCHEN He walks into a small apartment kitchen. He opens an old refrigerator. Cold air escapes. He takes out a bowl of watermelon and a bottle of water. He closes the refrigerator with his hip because both hands are occupied. He sits at a small table near the window. He eats one piece of watermelon while looking outside. A drop of juice runs down his finger. He notices it and wipes his hand on a napkin. The camera autofocus briefly locks onto the window instead of his face. ⸻ 00:10–00:14 — OLD BUS STOP Cut to outside. He waits alone at a quiet neighborhood bus stop. He checks the time on his silver watch. He looks down the road. A local bus approaches but passes through the frame without stopping. He watches it disappear. He gives a tiny disappointed shrug. The camera operator slightly misses the bus while trying to reframe. No dramatic reaction. Just an ordinary inconvenience. ⸻ 00:14–00:19 — SMALL STREET / PARKED CAR He notices a stray cat sleeping underneath a parked car. He crouches down several feet away. The cat opens one eye. He quietly smiles and reaches out his hand without touching it. The cat gets up and walks away. He remains crouched for another second, watching it disappear around the corner. He stands up slowly. The camera remains imperfectly framed around him. A distant motorcycle passes. ⸻ 00:19–00:23 — SUNSET CONCRETE COURT He reaches a small empty neighborhood basketball court. The evening sun is low. He places his drink beside the fence. He kicks a loose pebble across the concrete. He notices a basketball sitting near the fence. He picks it up and casually shoots once. The ball hits the rim, bounces away, and rolls toward the camera. The camera operator instinctively steps backward as the ball approaches. The man laughs. ⸻ 00:23–00:27 — WALKING HOME He picks up the basketball and returns it to where he found it. He walks home carrying the empty drink bottle. The sky has become slightly darker. Apartment windows begin glowing in the distance. He walks slowly, occasionally kicking tiny stones along the pavement. The camera follows several steps behind. No posing. No eye contact with the camera. Just an ordinary walk home. ⸻ 00:27–00:30 — FINAL MOMENT He reaches the entrance of his apartment building. He stops before going inside. For a second he looks back toward the camera. He gives a small tired smile. He raises the empty bottle slightly like a casual goodbye. Then he turns around and disappears through the entrance. The camera stays pointed at the doorway for a moment. Someone behind the camera quietly says something indistinct. At approximately 00:29, the footage abruptly cuts to black. No fade-out. ⸻ PHYSICAL REALISM Everything must behave according to believable real-world physics. Hands, fingers, facial expressions, hair, clothing, food, bottles, basketball, bicycle, cat, vehicles, laundry, and environmental objects must remain physically consistent. No duplicated objects. No disappearing objects. No warped anatomy. No extra fingers. No fused limbs. No floating objects. No teleportation. No impossible movements. The basketball must bounce and roll naturally. The cat must move like a real animal. Laundry must respond naturally to wind. The bottle must remain a separate physical object. Maintain continuity of the subject and environment between every shot. AUDIO Only natural location audio. Refrigerator hum. Clothing moving in the wind. Apartment ambience. Distant traffic. Bus engine. Footsteps. Basketball bouncing. Cat movement. Motorcycles. Birds. Distant voices. Faint city noise. Subtle handling sounds from the camera. No music. No soundtrack. No narration. No artificial sound effects. No dramatic audio transitions. FINAL FEEL It should feel like an old personal recording that was never meant to become a film. Nothing important happens. That is the point. A young man doing laundry. Eating watermelon. Missing a bus. Noticing a cat. Taking one basketball shot. Walking home. Small movements, awkward pauses, ordinary mistakes, and quiet moments should carry the emotion. The video should feel warm, nostalgic, slightly lonely, youthful, masculine, intimate, imperfect, and completely believable. The viewer should feel as though they accidentally found a 30-second fragment of someone’s real life from a summer years ago. Prioritize human imperfection over cinematic beauty, continuity over spectacle, and authentic observation over performance.

Duet | AI

37,089 просмотров • 12 дней назад

This is AI. That sentence is getting harder to believe. Made with Seedance 2.5 (30-second video, 1080p) Prompt: ⬇️ Create a 30-second, 1080p ultra-realistic documentary-style personal home video showing an ordinary summer day in the life of a very attractive young American woman. The footage should feel spontaneous, intimate, imperfect, and genuinely observed rather than performed. MAIN SUBJECT The same young American woman in her early 20s throughout the entire video. She is very attractive and naturally sexy in an effortless, believable way — feminine, curvy, with an hourglass figure, toned legs, realistic body proportions, natural skin texture, and a relaxed confident presence. She has long slightly messy dark-blonde or light brown hair, soft natural makeup, expressive eyes, and a warm but slightly tired summer-day expression. She should feel like a real young woman, not a model in a commercial. She wears a fitted white tank top, short light denim shorts, worn white sneakers, and a simple bracelet or thin necklace. Keep her face, identity, body proportions, hairstyle, clothing, and overall appearance completely consistent from beginning to end. LOCATION A quiet older residential neighborhood in Astoria, Queens, New York, during a hot summer afternoon. Brick apartment buildings, stoops, narrow side streets, parked cars, chain-link fences, small front yards, window AC units, fire escapes, corner delis, utility poles, overhead wires, faded street markings, potted plants, and ordinary neighborhood details. The area should feel authentic, lived-in, and unmistakably American, specifically outer-borough New York. No tourist landmarks, no Times Square, no skyline hero shots, no glamorous city imagery, no recognizable brands. CAMERA / VISUAL STYLE Authentic casual personal-video footage captured with an older consumer digital camera. Handheld camera operated by a friend walking nearby. Natural camera shake, imperfect framing, occasional autofocus changes, slight exposure adjustments when moving between sunlight and shade, soft image detail, mild motion blur, subtle digital noise, slightly muted colors, imperfect white balance, and natural compression. The camera operator occasionally reacts a little late, cuts off part of the subject, or briefly loses focus. No stabilization, gimbal movement, drone shots, cinematic camera choreography, dramatic lighting, slow motion, modern commercial color grading, or polished cinematography. The footage should feel like someone simply decided to record their friend during an ordinary summer day. 00:00–00:05 — ROOFTOP / STOOP MOMENT She sits casually on a small rooftop terrace or upper stoop landing beside an old plastic chair. A cold bottled drink rests beside her. She looks quietly across the neighborhood while warm wind moves her hair and tank top slightly. She takes a sip, notices something happening in the distance, and smiles faintly. She briefly notices the camera and gives a subtle amused nod before looking away. The camera takes a moment to find focus on her face. 00:05–00:10 — WALKING THROUGH THE NEIGHBORHOOD She gets up and walks downstairs into the neighborhood. She walks casually through a narrow residential street with a relaxed natural stride. She passes parked cars, stoops, potted plants, chain-link fences, laundry or towels hanging near windows, and old brick walls. The camera follows several steps behind her. She occasionally looks back toward the camera but never deliberately poses. Her movement should feel unforced and natural, not like a fashion walk. 00:10–00:14 — SMALL EVERYDAY MOMENT She notices an old basketball resting near a wall or fence. She picks it up, casually bounces it twice, then takes a simple shot toward a nearby neighborhood hoop. The shot misses. She laughs quietly, shakes her head, and leaves the ball where she found it. The camera briefly loses focus during the movement and recovers naturally. No exaggerated athletic movement. 00:14–00:19 — CORNER DELI She walks to a tiny local corner deli / neighborhood shop and buys a cold drink. She exchanges a few natural words with the shopkeeper but the conversation is not clearly audible. She steps outside, opens the bottle, takes a drink, and leans casually against the wall near the storefront. She watches cars and pedestrians passing in the distance. The camera remains handheld and slightly imperfect. 00:19–00:23 — SUMMER RAIN A sudden summer shower begins. She looks toward the sky with mild surprise. Instead of immediately running for shelter, she smiles and slowly walks into the rain. The rain becomes heavier. Her hair becomes wet and falls naturally around her face and shoulders. Her tank top and shorts become visibly damp in a realistic way. She eventually starts running down the street, laughing genuinely. She briefly spins around while running, then continues toward a covered stoop or awning. Maintain realistic rain interaction, wet fabric, wet hair, reflections, and foot contact with the ground. 00:23–00:27 — QUIET MOMENT She reaches a covered walkway / stoop awning and catches her breath. Rain falls heavily behind her. She wipes water from her forehead and looks quietly toward the street. For a moment, everything becomes still. She notices the camera again and gives a small genuine smile, not a posed expression. 00:27–00:30 — WALKING AWAY The rain becomes lighter. She walks away down the wet residential lane. The camera follows from behind. Reflections shimmer across the pavement. She turns her head once, gives a tiny wave toward the camera, smiles, and continues walking. The camera remains pointed toward the now emptier street for a brief moment. At approximately 00:29, the recording abruptly cuts to black mid-motion. No fade-out. PHYSICAL REALISM Maintain believable real-world physics throughout. Hands, fingers, feet, clothing, hair, rain, bottle, basketball, and background objects must behave naturally. No extra fingers, fused hands, duplicated limbs, distorted anatomy, floating objects, teleportation, disappearing objects, or sudden transformations. The bottle remains a separate physical object and never intersects with her face. The basketball behaves naturally and remains where it lands. Parked cars and background objects remain stationary unless physically moved. Her feet remain properly connected to the ground while walking and running. Keep the environment and subject consistent between shots. AUDIO Natural environmental audio only. Footsteps on pavement, distant traffic, birds, leaves moving in the wind, faint neighborhood voices, deli sounds, bottle opening, basketball bouncing, rain hitting pavement, water dripping from rooftops, and subtle camera-handling noise. No music. No narration. No soundtrack. No artificial sound effects. No spoken dialogue is necessary. FINAL FEEL The result should feel like a forgotten personal recording of an ordinary summer day. Not a commercial. Not a fashion film. Not a music video. Not a professional cinematic production. The emotional appeal should come from small human moments: sitting alone, wandering through familiar streets, missing a basketball shot, drinking something cold, getting caught in the rain, laughing, and walking home. Youthful, feminine, warm, nostalgic, spontaneous, slightly melancholic, intimate, and deeply human. Prioritize natural behavior, consistent identity, believable physics, imperfect handheld framing, authentic outer-borough New York details, and the feeling that the camera just happened to be there. – Thanks Duet | AI for the inspiration on this one #AIVideo

Alpha Mom

31,512 просмотров • 17 дней назад

Seedance 2.5 vs. FLUX 3 The arguments about AI being slop are DONE! Prompt: SEOUL SUMMER DAY — VIDEO PROMPT A 30-second, 1080p ultra-realistic documentary-style personal home video showing an ordinary summer day in the life of a young Korean man. The footage should feel spontaneous, intimate, imperfect, and genuinely observed rather than performed. ═══════════════════════════════════ MAIN SUBJECT ═══════════════════════════════════ - The same young Korean man in his early 20s throughout the entire video. - Naturally handsome, realistic skin texture, minimal styling, relaxed expression, slightly tired but peaceful eyes. - Naturally messy medium-length dark hair with a few strands falling over his forehead; very subtle stubble. - Wears: loose washed-black T-shirt, relaxed olive-beige trousers, worn white sneakers, simple silver wristwatch. - CONSISTENCY LOCK: face, identity, body proportions, hairstyle, clothing, watch, and overall appearance remain completely consistent from beginning to end. ═══════════════════════════════════ LOCATION ═══════════════════════════════════ - A quiet older residential neighborhood in Seoul, warm summer afternoon. - Narrow concrete alleys, low-rise homes, rooftop terraces, external staircases, potted plants, laundry lines, parked bicycles, utility poles, overhead wires, mature trees, concrete walls, small residential courtyards, distant city sounds. - Authentic and lived-in. - NO crowds, tourist attractions, advertisements, recognizable brands, or commercial activity. ═══════════════════════════════════ CAMERA / VISUAL STYLE ═══════════════════════════════════ - Authentic casual personal-video footage captured with an older consumer digital camera. - Handheld, operated by a friend walking nearby. - Natural camera shake, imperfect framing, occasional autofocus changes, slight exposure adjustments moving between sunlight and shade, soft image detail, mild motion blur, subtle digital noise, slightly muted colors, imperfect white balance, natural compression. - The camera operator occasionally reacts a little late, cuts off part of the subject, or briefly loses focus. - NO stabilization, gimbal movement, drone shots, cinematic choreography, dramatic lighting, slow motion, modern commercial color grading, or polished cinematography. - Feels like someone simply decided to record his friend during an ordinary day. ═══════════════════════════════════ TIMELINE ═══════════════════════════════════ [00:00–00:05] MORNING ROOFTOP - He sits casually on a small rooftop beside an old plastic chair; a cold bottled drink rests beside him. - He looks quietly across the neighborhood while the wind moves his hair and T-shirt. - He takes a sip, notices something in the distance, and smiles faintly. - He briefly notices the camera and gives a subtle nod before looking away. - The camera takes a moment to find focus on his face. [00:05–00:10] WALKING THROUGH THE ALLEY - He gets up and walks downstairs into the neighborhood. - He walks casually through a narrow concrete alley, hands in pockets. - He passes parked bicycles, potted plants, laundry hanging from balconies, old residential walls. - The camera follows several steps behind him. - He occasionally looks back toward the camera but never deliberately poses. - Footsteps stay naturally synchronized with his movement. [00:10–00:14] SMALL EVERYDAY MOMENT - He notices an old basketball resting near a wall. - He picks it up, casually bounces it twice, then takes a simple shot toward a nearby hoop. The shot misses. - He laughs quietly, shakes his head, and leaves the ball where he found it. - The camera briefly loses focus during the movement and recovers naturally. - No exaggerated athletic movement. [00:14–00:19] LOCAL SHOP - He walks to a tiny neighborhood shop and buys a cold drink. - He exchanges a few natural words with the shopkeeper; the conversation is not clearly audible. - He steps outside, opens the bottle, takes a drink, and leans casually against the wall. - He watches bicycles and pedestrians passing in the distance. - The camera remains handheld and slightly imperfect. [00:19–00:23] SUMMER RAIN - A sudden summer shower begins. He looks toward the sky with mild surprise. - Instead of running for shelter, he smiles and slowly walks into the rain. - The rain becomes heavier. His hair becomes wet and falls naturally across his forehead. - He eventually starts running down the alley, laughing genuinely. - He briefly spins around while running, then continues toward a covered walkway. - His clothes become visibly damp. - Maintain realistic rain interaction: wet fabric, wet hair, reflections, foot contact with the ground. [00:23–00:27] QUIET MOMENT - He reaches the covered walkway and catches his breath. Rain falls heavily behind him. - He wipes water from his forehead and looks quietly toward the street. - For a moment, everything becomes still. - He notices the camera again and gives a small genuine smile — not a posed expression. [00:27–00:30] WALKING AWAY - The rain becomes lighter. He walks away down the wet residential lane. - The camera follows from behind. Reflections shimmer across the concrete. - He turns his head once, gives a tiny wave toward the camera, smiles, and continues walking. - The camera remains pointed toward the empty street for a brief moment. - At approximately 00:29, the recording abruptly cuts to black mid-motion. No fade-out. ════════════════════════════════════ PHYSICAL REALISM ════════════════════════════════════ - Believable real-world physics throughout: hands, fingers, feet, clothing, hair, rain, bottle, basketball, and background objects behave naturally. - NO extra fingers, fused hands, duplicated limbs, distorted anatomy, floating objects, teleportation, disappearing objects, or sudden transformations. - The bottle remains a separate physical object and never intersects with his face. - The basketball behaves naturally and remains where it lands. - Parked bicycles and background objects remain stationary unless physically moved. - His feet remain properly connected to the ground while walking and running. - Environment and subject stay consistent between shots. ═══════════════════════════════════ AUDIO ═══════════════════════════════════ - Natural environmental audio only: footsteps on concrete, distant traffic, birds, leaves in the wind, bicycles, faint neighborhood conversations, shop sounds, bottle opening, basketball bouncing, rain hitting concrete, water dripping from rooftops, subtle camera-handling noise. - NO music, narration, soundtrack, or artificial sound effects. - No spoken dialogue is necessary. ═══════════════════════════════════ FINAL FEEL ═══════════════════════════════════ - A forgotten personal recording of an ordinary summer day. - NOT a commercial, fashion film, music video, or professional cinematic production. - Emotional appeal comes from small human moments: sitting alone, wandering familiar streets, missing a basketball shot, drinking something cold, getting caught in the rain, laughing, walking home. - Tone: quiet, masculine, youthful, nostalgic, slightly melancholic, warm, spontaneous, deeply human. - Prioritize natural behavior, consistent identity, believable physics, imperfect handheld framing, authentic environmental details, and the feeling that the camera happened to be there.

Ori Silver

14,258 просмотров • 18 дней назад

AI slop makes noise. Realism makes you forget it’s AI. Create on TapNow 30-second, 1080p, 16:9 ultra-realistic live-action home video of a young Korean woman in her early 20s during an unplanned summer afternoon in an ordinary Seoul neighborhood. SUBJECT & CONTINUITY: Naturally attractive Korean woman, realistic skin, minimal makeup, expressive eyes, short messy layered bob. Loose faded olive-green graphic T-shirt, long white pleated skirt, worn gray running shoes, small black crossbody pouch, thin red fabric bracelet. Keep identical face, hair, clothing, accessories, proportions, and appearance throughout. VISUAL STYLE: Genuine early-2000s consumer DV camcorder footage filmed by a friend. Imperfect handheld movement, occasional shake, autofocus hunting, exposure shifts, soft digital detail, faded colors, mild tape noise, motion blur, accidental zooms, imperfect framing, and natural camera movement. No stabilization, drone/gimbal shots, cinematic grading, slow motion, or commercial polish. SETTING: Quiet, humid summer Seoul neighborhood with older apartments, basketball court, narrow streets, stationery shop, concrete walkways, gardens, scooters, faded walls and vending machines. Lived-in and authentic, with no famous landmarks, brands, logos, advertisements, or influencer-style locations. 00:00–00:04 — Strange Sound: She exits an apartment carrying a small paper bag, hears a strange rhythmic sound, stops and looks around. Camera quickly zooms toward her confused face. She says, “What is that?” and follows the sound. 00:04–00:08 — Secret Practice: At a neighborhood basketball court, two elderly men seriously practice a synchronized dance routine. She watches behind the fence, trying not to laugh. One notices her and she pretends she was just passing by. Friend laughs behind camera. 00:08–00:12 — Joining In: One man invites her to join. She points at herself, surprised, then puts down the bag and awkwardly copies their two-step. She gets the rhythm and performs an exaggerated move. Everyone laughs naturally; camera briefly loses her as the operator backs away laughing. 00:12–00:16 — Paper Bag: She returns to the bag, but a breeze blows it across the court and under a bench. She retrieves it, slightly crushed but intact, then gives the camera an exaggerated disappointed look. 00:16–00:20 — Stationery Shop: She enters a tiny neighborhood stationery shop filled with ordinary notebooks, school supplies and small toys. She notices a tiny wind-up toy, winds it up, and it suddenly walks toward the camera. She laughs and catches it before it falls. Shop owner smiles naturally. 00:20–00:24 — Small Gift: She buys the wind-up toy. Outside, she places it on a low wall and winds it up. It walks crookedly toward the edge; she laughs and catches it at the last moment. 00:24–00:27 — Funny Photo: She poses beside the toy. The friend zooms in too close, accidentally cutting off part of her face. She makes a playful serious expression, laughs, and gently pushes the camera away. 00:27–00:30 — Final Memory: She walks away holding the toy, then turns back, winds it once more and places it on the pavement. The toy walks toward the camera while she follows behind smiling. Camera follows the toy, then tilts up to her face. She says, “Okay… this was actually worth leaving the house.” Abrupt cut to black. AUDIO: Natural location sound only—summer insects, distant traffic, footsteps, wind, paper movement, court ambience, men counting rhythm, natural laughter, shop bell, toy mechanism and distant conversations. No music, narration, subtitles, captions or random text. REALISM: Physically consistent paper bag and wind-up toy; believable movement and reactions; no duplicated people, distorted faces, broken hands, extra fingers, teleportation, outfit changes, cartoon behavior, logos, watermarks or recognizable brands.

Anissa

15,036 просмотров • 4 дней назад

I originally did these as duck walks with a dip belt, loading pin, and handle with Odd Haugen in the early 2000s for strongman. Back when strongman conditioning looked less like a fitness influencer salsa routine and more like a couple pissed off ranch bulls fighting over the last hay bale at the county auction. Now I use them primarily as prehab for my ankles and feet. Funny enough, they relieved my ankle soreness better than almost anything else I tried. I personally just do one ugly nonstop set. Sometimes up to 5 minutes straight. Looks like a wounded gorilla dragging a feed trough through wet cement. Works unbelievably well. Later I used lighter versions with general fitness clients in Santa Barbara and Nashville. I even used them training bikini competitors at Metroflex. Then football players. Baseball players. Big strongman mutants. I still use them for both performance and rehab. Why they hit different: Wide stance + marching shifts stress hard into the feet and ankle complex, glutes, adductors, and outer hips. The hanging loading pin forces stabilization the whole time. No smooth machine groove. No fancy bearings. No uptown country club feel. Just you, gravity, and consequences. The loading pin changes everything. The weight hangs straight down and drags you forward into the balls of the feet. That lights up the foot intrinsics, ankles, calves, hip stabilizers, and core anti rotation. It feels more like manual labor than exercise. More raw. More athletic. Less “fitness machine.” The movement also has a semi unilateral feel to it without the balance demands or joint stress of true single leg work. Easy learning curve. Massive carryover. I actually have a very nice belt squat machine. Originally the loading pin setup was out of necessity because I had no other option. Now it’s 100% my preference. Like choosing gas station barbecue over some tiny downtown steakhouse charging you $94 to leave hungry. Now I use them constantly for ankle resilience, conditioning, GPP, posterior chain work, and big athletes that need conditioning without getting beat up from running. One of the best high school strength coaches in the country, Coach Thomas Fahey Coach Fahey , shared a potentiation protocol with me using these. Coach Fahey has pushed these much heavier than I have and gotten incredible results with athletes. I have not personally run this exact protocol yet, but it was too interesting not to share. 2 minutes continuous marching at roughly 3 steps per second. Then immediately: 4–8 max height jumps. When jump height plateaus or drops off: Add a plate and repeat. If jumps improve again: Add another plate. Repeat for rounds 3, 4, 5… Constant tension. Short ROM. Low soreness. Very economical. You can load these brutally heavy without getting beat to pieces. I’ve also used these as conditioning intervals on machine belt squats while carrying sandbags. But the loading pin version still feels different. More foot. More ankle. More hip stabilization. More real world carryover. Best part? You can go brutally heavy safely. I personally have not pushed the limits on these yet. Coach Fahey has pushed them much harder with great results. I still think there’s another level there most people have not tapped into. Who else has messed with these?

Josh Bryant

57,857 просмотров • 4 месяцев назад

Real life has never looked this AI. Seedance 2.5 on DomoAI official Prompt Create a 30-second, 1080p, 16:9 ultra-realistic early-2000s DV home video of a young Korean woman having a spontaneous summer evening around a quiet neighborhood market in Seoul. SUBJECT Young Korean woman, early 20s, naturally pretty, realistic skin, minimal makeup, relaxed expressions. Straight dark-brown shoulder-length hair, loose with a black headband and a few messy strands. Outfit: dusty-rose fitted T-shirt, dark-indigo jeans, white canvas sneakers, cream canvas shoulder bag, thin silver necklace. Keep her face, hair, outfit, body proportions, and accessories identical throughout the entire video. SETTING An older Seoul neighborhood during a warm summer evening. Narrow streets connected to a small local market, aging low-rise buildings, faded painted walls, metal shutters, parked scooters, bicycles, potted plants, handwritten-looking shop signs without readable branding, utility poles, overhead wires, plastic stools, small street vendors, and residential entrances. The area feels lived-in and ordinary rather than picturesque. A few local residents move naturally through the background. Warm sunlight is beginning to fade into early evening. No brands, logos, advertisements, tourist landmarks, modern luxury buildings, polished streets, or commercial-looking locations. CAMERA STYLE Cheap early-2000s consumer DV camcorder footage recorded casually by a friend. Strong handheld shake, imperfect framing, occasional focus hunting, exposure shifts when moving between sunlight and shadow, soft digital detail, slightly faded colors, mild tape noise, subtle compression artifacts, motion blur, accidental zooms, awkward reframing, and natural camera movement. The camera should feel like a friend casually recording the moment rather than a professional filming a scene. No stabilization, gimbal movement, drone shots, cinematic camera choreography, cinematic lighting, shallow-depth-of-field commercial shots, or polished color grading. TIMELINE 00:00–00:06 — LEAVING THE BUILDING She steps out through an old residential entrance carrying her cream canvas shoulder bag. She pauses beside a parked bicycle and checks the time on a small wristwatch. She notices the camera pointing at her and gives the camera operator an amused look. She says: “Are you filming me again?” The camera moves closer slightly. She shakes her head with a small laugh and starts walking toward the neighborhood market. 00:06–00:12 — SMALL MARKET She walks past a tiny neighborhood fruit stand and notices a colorful pile of peaches. She stops, picks up one peach, looks at it, then looks directly at the camera. She says: “Should I get this?” The camera operator responds naturally from behind the camera: “Definitely.” She laughs quietly, buys one, and takes a bite while continuing down the street. 00:12–00:18 — SUMMER MOMENT She reaches a small side street lined with old apartment walls and potted plants. A sudden warm breeze moves the leaves and pushes loose strands of her hair across her face. She tries to fix her hair while still holding the peach. A bicycle passes behind her. She looks toward the bicycle, then back at the camera and says jokingly: “Okay, that was almost dangerous.” She laughs naturally. 00:18–00:24 — STREET CORNER She reaches a small neighborhood corner with a public bench beside an old concrete wall. She sits down for a moment and drinks water from a bottle taken from her shoulder bag. In the background, an older resident slowly sweeps the pavement while another person carries groceries toward an apartment entrance. She watches the street quietly for a few seconds. The camera operator asks: “Tired?” She looks toward the camera with a relaxed smile and replies: “A little.” She takes another sip of water and smiles. 00:24–00:30 — HEADING BACK She stands up, brushes a small piece of dust from her jeans, adjusts the cream canvas shoulder bag across her shoulder, and starts walking back toward the residential buildings. The camera follows from behind with imperfect handheld movement. After a few steps, she turns around while walking backward and looks directly into the camera. She smiles and says: “Hurry up.” She turns forward and continues walking. The camera follows her for another moment before the footage abruptly cuts to black. AUDIO Natural location sound only. Footsteps on concrete, distant traffic, bicycle wheels, birds, summer insects, leaves moving in the breeze, neighborhood market ambience, faint conversations, a distant scooter, plastic bags rustling, street sweeping, water bottle sounds, natural laughter, and subtle camcorder handling noise. Dialogue should sound spontaneous and conversational, with natural pauses and imperfect timing. No music, narration, subtitles, captions, translations, logos, watermarks, or on-screen text. REALISM & CONTINUITY Maintain strict character continuity throughout all shots. Her face, hairstyle, black headband, dusty-rose T-shirt, dark-indigo jeans, white canvas sneakers, cream canvas shoulder bag, silver necklace, body proportions, and overall appearance must remain identical from beginning to end. Natural human reactions and imperfect timing. Background pedestrians should move naturally and remain physically consistent. Objects must not disappear, duplicate, teleport, or change position unnaturally. No duplicated people, disappearing objects, distorted faces, warped bodies, broken hands, extra fingers, plastic skin, CGI appearance, identity drift, hairstyle changes, outfit changes, accessory changes, exaggerated acting, unrealistic facial expressions, or overly cinematic footage. The final result should feel like a genuine forgotten home-video recording from the early 2000s rather than a modern cinematic recreation. 16:9 aspect ratio, 1080p, 30 seconds. #DomoAI #DomoAICPP

Sharon Riley

13,562 просмотров • 14 часов назад

Ex-Man AHL ($70B firm) fixed-income head on breaking into quant: "You've got a much better chance of being hired by the world's best hedge fund from a non-target school with no qualifications than by trading your own money." Rob Carver (Rob Carver) — ex-Man AHL, ran a multi-billion systematic fixed-income book | now a one-man shop across 200+ futures markets "I don't really believe I've found any inefficiency — basically all the money I make is risk premia." We cover: - The career myth that won't die — getting "noticed" by trading your own money is a one-in-a-billion event - Why he insists he's found zero market inefficiencies — it's public risk premia anyone can harvest - Skepticism as the #1 trait — every career error he's seen traces back to overconfidence in a backtest - Why "the best quants come from physics" is mostly path dependence — the Yale-historians thought experiment - His actual process: ~1 new strategy a year, a 1-in-5 strike rate — & he thinks more research would lower it - The real innovation of his last decade — running 200+ futures on a small account, not finding edge - Why he'd never join a pod shop — even though he reckons he could land an offer every couple of weeks Highlights: (00:50) The $1B loss week — why the desk stayed calm (02:45) Why he turned off his P&L email (06:40) Do the best quants really come from STEM? He pushes back (09:55) The Yale-historians trap — path dependence in quant hiring (11:35) The one trait that matters most — skepticism (13:00) The Sharpe ratio's blind spots — & the LTCM case (15:55) Geometric return vs Sharpe — the leverage catch (17:40) Avoiding overfitting — explicit vs implicit fitting (21:55) Why an honest backtest should look worse (23:05) Alpha decay by trading speed — HFT vs slow systems (25:35) Inside the portfolio — the full 10-rule suite (30:30) The career myth — trading your own money won't get you hired (31:55) Why he calls his returns risk premia, not inefficiency (33:55) His real innovation — 200+ futures on a small account (35:40) How Man AHL reviewed, vetoed & shipped new strategies (39:30) Will capital consolidate at Citadel & Millennium? (41:45) "My DMs are open" — & why he'd still never join a pod shop (42:45) The AI talent-war parallel — who you actually want to hire

Ethan Kho

180,532 просмотров • 2 месяцев назад

The book "Excellent Advice for Living" is so good I read it in one sitting. The book is a collection of maxims Kevin Kelly wrote to his adult children. Each maxim contains a bit of wisdom he wish he'd known earlier. 79 maxims that resonated the most (I added #57 selfishly) 1. Choose to believe that the entire universe is conspiring behind your back to make you a success. 2. Mastering the view through the eyes of others will unlock many doors. 3. If you can avoid seeking the approval of others your power is limitless. 4. The reward for good work is more work. 5. Don’t be the best. Be the only. 6. The urgent is a tyrant. The important should be your king. 7. Find smart people who will disagree with you. 8. The main thing is to keep the main thing the main thing. 9. The most counterintuitive truth of the universe is that the more you give to others the more you'll get. 10. Life gets better as you replace transactions with relationships. 11. Courtesy costs nothing. 12. Life lessons will be presented to you in the order they are needed. 13. Cultivate an allergy to average. 14. If you repeated what you did today 365 more times would you be where you want to be next year? 15. If you're alive that means you still have lessons to learn. 16. Master something. Through mastery of one thing you'll command a viewpoint to steadily find where your bliss is. 17. Trust is earned in drops and lost in buckets. 18. First, always ask for what you want. Works in relationships, business, life. 19. If nobody else does what you do you won't need a resume. 20. How to apologize: quickly, specifically, sincerely. 21. The best way to advise people is to find out what they really want to do and then advise them to do it. 22. It is certain that 99% of the stuff you are anxious about won't happen. 23. What is important is not what happened to you but what you did about what happened to you. 24. Your golden ticket is being able to see things from other people's point of view. 25. Pay attention to who you are around when you feel best. Be with them more often. 26. To get your message across follow this formula: simplify, simplify, simplify, then exaggerate. 27. You will thrive more when you promote what you love rather than bash what you hate. 28. To be interesting just tell your own story with uncommon honesty. 29. When you truly think for yourself your conclusions will not be predictable. 30. Don’t measure your life with someone else’s ruler. 31. For maximum results focus on your biggest opportunities, not your biggest problems. 32. Pay attention to what you pay attention to. 33. Do more of what looks like work to others but is play for you. 34. Don't bother fighting the old just build the new. 35. Don't compare your inside to someone else's outside. 36. When you're stuck explain your problem to others. 37. Most stories are improved significantly if you delete the first page. Start with the action. 38. A long game will compound small gains that will be able to overcome even big mistakes. 39. Constantly search for overlapping areas of agreement and dwell there. 40. It is your destiny to work on things that only you can do. 41. Make stuff that is good for people to have. 42. You'll get 10 times better results by elevating good behavior rather than punishing bad behavior. 43. Life is not a straight line for anyone. 44. Aim for tasks that you never want to stop doing. 45. Regularly scheduled sabbaths, sabbaticals, vacations, breaks, aimless walks, and time off are essential for top performance of any kind. 46. Don't mistake a clear view of the future for a short distance. 47. Efficiency is highly overrated 48. Greatness is incompatible with optimizing in the short term. 49. The greatest teacher is called "doing." 50. Figure out what time of day you are most productive and protect that time period. 51. You are much better off delivering unwelcome news to someone yourself directly. 52. Don't ever work for someone you don't want to become. 53. Take one simple thing — almost anything — but take it extremely seriously as if it is the only thing in the world 54. Be frugal in all things except in your passions. 55. About 99% of the time the right time is right now. 56. Finite games are played to win or lose. Infinite games are played to keep the game going. Seek out infinite games because they yield unlimited rewards. 57. To be remarkable, read books. 58. Be a good ancestor. Do something a future generation will thank you for. 59. Bad things can happen fast but almost all good things happen slowly. 60. To transcend the influence of your heroes copy them shamelessly like a student until you get them out of your system. That is the way of all masters. 61. Don't worry how or where you begin. As long as you keep moving, your success will arrive far from where you start. 62. It is much easier to change how you think by changing your behavior, than it is to change your behavior by changing how you think. Act out the change you seek. 63. If you meet a jerk, ignore them. If you meet jerks everywhere every day, look deeper into yourself 64. Writing down one thing you are grateful each day is the cheapest possible therapy ever. 65. Ignore what others may be thinking of you because they aren't thinking of you. 66. Passion, persistence, belief, and ingenuity are required to invent new things. Qualities the poor and young often have in abundance. Stay hungry. 67. Calm is contagious. 68. When crises strike don't waste them. No problems, no progress. 69. Your purpose is to discover your purpose. This is not a paradox. This is the way. 70. Your passions should fit you exactly but your purpose in life should exceed you. 71. Fear makes people do stupid things. 72. When someone is nasty, hateful, or mean toward you treat their behavior like an affliction or illness they have. That makes it easier to have empathy toward them which can soften the conflict. 73. You don't need more time because you already have all the time you will ever get; you need more focus. 74. Compliment people behind their back. It'll come back to you. 75. Expand your mind by thinking with your feet on a walk or with your hand in a notebook. Think outside your brain. 76. Gratitude will unlock all other virtues. 77. You choose to be lucky by believing that any setbacks are just temporary. 78. It is useful to organize your thoughts with someone you trust and admire. 79. Over the long term the future is decided by optimists. To be an optimist you don't have to ignore the multitude of problems we create; you just imagine how much our ability to solve problems improves.

David Senra

89,813 просмотров • 7 месяцев назад

Okay, everyone is talking about AI video models right now, but honestly, most of the “comparisons” out there aren’t real comparisons at all. One video uses a different prompt. Someone tweaks the settings. Someone edits out the bad parts. And then people just decide which model is better? That never sat right with me. So I tested HappyHorse 1.1 and Kling 3.0 the same way I’d test any tool I was seriously considering for my work: the same prompt, the same reference images, the same duration, and no edits to hide the flaws. I wasn’t trying to prove that one model is better across the board. I simply wanted to see how each would handle the exact same challenge. 1. Lip-sync & speech This one's easy to judge honestly. You don't need to go frame by frame, just watch both videos side by side. Does the mouth actually match the words? Does the timing feel off or natural? Do the expressions hold up when the camera's in close? Small detail, but it tells you a lot fast. 2. Character & scene consistency This is where it gets interesting. Making one good-looking shot isn't hard anymore, keeping that same character looking like themselves across a bunch of shots is the real test. I used the same multi-angle reference set for both models and watched how they handled scene changes: face, clothes, props, where the character's standing, all of it. HappyHorse 1.1 was just noticeably more consistent here. One moment that stood out: in a crash scene where the character ends up injured on the ground, the difference isn't obvious at first glance, you really have to look closely. But HappyHorse kept him reacting, hand raised, blood visible, expression still "alive," like he was actually processing what just happened. Kling 3.0 showed him lying still, with no visible movement or reaction in that same moment. It's subtle, but it's a real example of logic and consistency holding up frame to frame, not just shot to shot. 3. Complex motion No cutting corners on this one, I wanted continuous movement. Sports, dancing, fast action, stuff that really shows whether a model understands weight, momentum, balance, how a body recovers after moving. These are the shots that expose problems you'd never catch in something static. Watching both side by side, continuously, tells you way more than any writeup could. 4. Camera control Both models got the same timestamped storyboard and the same camera directions. Then I just watched to see if they actually followed it. Here's a good example: push in, orbit around, crane up, then pull out. One continuous move. Watch closely and you'll see exactly where one model loses track of the subject or the motion gets weird, while the other stays right where it's supposed to be the whole time. That's basically the difference between a shot you keep and one you have to regenerate for the fifth time. 5. Price & workflow Price only means anything if you're comparing like for like, same output, same duration, same quality and resolution, same number of generations. But honestly I think the better question isn't "which one's cheaper," it's which one gets you more usable footage for the same money. For me that's not just about credits either, it's about how many tries it takes before I get something I actually want to keep. Where this actually matters: ads and e-commerce This is the stuff that made the biggest difference for me. When you're making product shots or ad content, you need a model that just does what you tell it, not one you have to wrestle with. HappyHorse 1.1 strictly executes your planned frames, you're setting the exact lens, the subject position, the camera's job, shot by shot. For ad work that means way fewer regenerations and getting from storyboard to finished cut a lot faster. Proof over opinions Here's what I kept coming back to. Saying "the motion's better" or "the camera control's better" doesn't really mean anything unless people can see it for themselves. That's why I think comparisons need continuous split-screen playback, identical prompts, clear labels, visible transitions, matching settings, and an honest breakdown of cost. Just let the footage speak, people can usually tell within a few seconds anyway. What I actually took away from this Both models have real strengths, I'm not saying one does everything better. But for the kind of work I do, including ad and e-commerce stuff, HappyHorse 1.1 just needed fewer compromises from me. Less regenerating shots, less fighting continuity issues, less trying to wrangle the camera back on track. Doesn't mean Kling 3.0 is bad, it's a solid model. It just means HappyHorse 1.1 got me to something production-ready faster, with less wasted time. And at the end of the day that's the thing I actually care about. p.s. links to try HappyHorse 1.1 and the community Discord are in the first reply below.

Chubby♨️

19,569 просмотров • 7 дней назад

To be serious for a moment since so many people are getting bent out of shape I'm going to make a rare serious post. Firstly. Your game, your efforts, your call do what you think is best. None of this is or was me wanting to throw shade at Yacht Club. They are cool and have been cool to us. Second. I despise the repackaging of cheats as 'accessibility'. They are cheats, tweaks or modifiers with the intention of making things easier for the one playing. I realize and accept that I grew up in an entirely different era of gaming. It was not unusual then to not be able to beat a game. I remember vividly asking the 'big kid' to beat something in Mario 64 because I was not good enough. I watched him beat it and was marveled. The thought never crossed my mind that it was not fair or that I should have been able to do it. Instead the thought was "wow one day I COULD do that!" Being unable to overcome a challenge can inspire as easily as it can decimate the spirit. It is going to vary wildly from person to person. However if one is coddled and unable to build that inner spiritual pillar to stand against adversity and learn to overcome it they will be decimated when life hits them with a difficulty they can't handle. Life does not care. There are no 'accessibility options' in life. Third. We have done stuff like this before. We use a system we call blessings and curses. Blessings and curses are modifiers you activate before you start a play through of the game. These are not things you can toggle on as and when you desire. You earn special rewards for completing things with different amounts on. Curses + points and Blessings - points. It is very simple. An additional layer that I think is important is that these are unlocked and earned. That lets you do more fun silly things with them and let people get goofy on replays. The first play through of a game should be relatively 'clean' in my opinion. Fourth. Rewards and achievements in a game are part of the point. If everyone could log into OSRS and just get an inferno cape or a Zuk helm it would mean nothing. It is part of the motivation to push press and achieve. I will always be staunchly against the idea of achievements and victory being a forgone conclusion because there is no better way to make memories than to overcome something that was beating you down. Earning a place in an upper percentile of a game feels good and exciting. Game developers come from all sorts of different perspectives and stories. We can have our own opinions and hills to die on. These are merely some of mine.

MHINBRON

21,615 просмотров • 3 месяцев назад

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

25,535 просмотров • 9 месяцев назад