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Full tennis match analysis system all running on computer vision with a single camera: -Automatic hit + bounce detection -Forehand/backhand/volley classification -Player pose estimation -Court homography The future of sports analytics is automated 🎾🏓

mirrash.eth 🦇🔊

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184,632 views • 4 months ago •via X (Twitter)

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i made four sport app prototypes this week, using roboflow rapid + SAM3 + python these ideas could be taken further to make $$$ example: SportRadar is a company that sells analytics to sports leagues and betting firms, with a market cap of $6 billion (!!) a few ideas - for coaches: automated analysis of trainings, tracking stats by player, scouting to prepare for future opponents - for players: compare your form against pros to improve your technique - for amateur leagues: turn hour-long full match footage into automated video reel highlights - for broadcasters: better visuals and stats during live events - for betting / prediction markets: real-time analysis of player performance to predict results

i made four sport app prototypes this week, using roboflow rapid + SAM3 + python these ideas could be taken further to make $$$ example: SportRadar is a company that sells analytics to sports leagues and betting firms, with a market cap of $6 billion (!!) a few ideas - for coaches: automated analysis of trainings, tracking stats by player, scouting to prepare for future opponents - for players: compare your form against pros to improve your technique - for amateur leagues: turn hour-long full match footage into automated video reel highlights - for broadcasters: better visuals and stats during live events - for betting / prediction markets: real-time analysis of player performance to predict results

AA

220,341 views • 8 months ago

A bright summer afternoon sets the stage on a lively outdoor tennis court where a talented young blonde tennis player confidently competes in a friendly match against a young boy opponent. Dressed in a stylish baby pink tennis outfit featuring subtle McDonald's branding, she moves gracefully across the court as spectators cheer from the stands. Made by using Nano Banana 2 + Seedance 2.0 on Renoise Part 1 Prompt (First ~15 seconds) Create the first 15 seconds of a fun, energetic McDonald's commercial. Bright sunny outdoor tennis court with green hard court, white lines, net, spectator stands filled with audience in chairs watching the match, natural daylight, premium cinematic sports-ad style. Strict Character Consistency: Same beautiful Western woman throughout — exact face, fair skin tone, long wavy blonde hair in a sporty ponytail with soft strands flowing, fresh natural makeup with glowing skin and glossy lips. She wears a cute babypink tennis-style polo dress with small white embroidered McDonald's golden arches logo on the chest, matching babypink visor/cap, white sports socks, and white sneakers. Perfect fabric physics and athletic movement. Camera: Slow premium cinematic movements — elegant tracking, smooth orbits, gentle push-ins, rack focus. Scenes: Wide establishing shot: She is playing tennis against a young boy opponent on the other side of the net. Audience seated in stands watching supportively. Macro close-up on her focused eyes (natural blink, intense concentration). Slow pull-back showing her athletic form swinging the tennis racket. Dynamic rally: She moves confidently, hits the ball with power and grace. Camera orbits elegantly around her. Crowd cheering. In the middle of her forehand shot, another person (not the opponent) walks along the side of the court holding a McDonald's paper bag and eating golden fries. She suddenly notices, gets distracted, misses the shot, and has a surprised hungry smile. Ultra-photorealistic, flawless continuity, realistic hair/fabric/sweat details, natural tennis motion, soft depth of field. Ambient sounds: tennis ball hits, crowd cheers, breeze, and upbeat music. Part 2 Prompt (Last ~15 seconds) Continue exactly from Part 1 with 100% identical Western woman, same sporty ponytail, same babypink McDonald's tennis dress and cap, same tennis court, audience, boy opponent, lighting, and cinematic style. Strict Character & Continuity Consistency: No changes to appearance or outfit. Camera: Same premium slow cinematic movements. Scenes: She pauses the match, smiles, and walks curiously toward the person holding the McDonald's bag (who is casually eating fries). Macro close-up on the crispy golden McDonald's fries. She reaches out, takes one fry, and takes a big satisfying bite with a delighted, eyes-closed happy expression. Steam and texture visible. Quick cut back: Boy opponent and supportive audience smiling. A calm white horse stands peacefully near the stands in the background. Final iconic shot: She stands happily on the tennis court, holding a fry, looking joyful toward camera. Gentle breeze on her hair and dress. Slow push-in to perfect hero framing. Clean fade to white with McDonald's logo and "I'm Lovin' It" tagline. Ultra-photorealistic, mouthwatering food details, realistic crowd and tennis environment, flawless continuity. Warm upbeat score with piano, strings, and happy jingle. #RenoiseChallenge

Sharon Riley

83,431 views • 2 months ago

Recently these super realistic live TV broadcast shots have been going viral everywhere Tried making one myself using GPT Image 2 + Kling 3.0 Prompt: A screenshot from a live Wimbledon TV broadcast during a packed Centre Court match. The camera cuts to the audience, an unbelievably attractive woman in her 20s with long black hair, flawless skin, elegant makeup, and a luxurious aura, seated in the VIP section wearing a sophisticated cream-white low-cut summer outfit with subtle jewelry. She smiles naturally while reacting to the match, unaware she's on camera. Wealthy spectators and champagne glasses around her, old-money tennis atmosphere, shallow depth of field. Full live tennis broadcast overlay: scoreboard, network watermark, broadcast graphics, 16:9 aspect ratio. The image looks exactly like a real TV screenshot, telephoto broadcast lens, realistic live color grading, slight compression artifacts, interlacing grain, subtle motion blur, imperfect live-camera framing.

Recently these super realistic live TV broadcast shots have been going viral everywhere Tried making one myself using GPT Image 2 + Kling 3.0 Prompt: A screenshot from a live Wimbledon TV broadcast during a packed Centre Court match. The camera cuts to the audience, an unbelievably attractive woman in her 20s with long black hair, flawless skin, elegant makeup, and a luxurious aura, seated in the VIP section wearing a sophisticated cream-white low-cut summer outfit with subtle jewelry. She smiles naturally while reacting to the match, unaware she's on camera. Wealthy spectators and champagne glasses around her, old-money tennis atmosphere, shallow depth of field. Full live tennis broadcast overlay: scoreboard, network watermark, broadcast graphics, 16:9 aspect ratio. The image looks exactly like a real TV screenshot, telephoto broadcast lens, realistic live color grading, slight compression artifacts, interlacing grain, subtle motion blur, imperfect live-camera framing.

Ege

1,189,376 views • 3 months ago

⚽️ $GIC Sports: Revolutionizing Sports Management with Blockchain 🚀 Welcome to the future of sports! $GIC Sports is an innovative platform that merges blockchain technology with player management, focusing on football. Built on a powerful EVM Layer blockchain, we provide a complete ecosystem to connect players, clubs, agents, and fans like never before. What We Offer 1️⃣ Decentralized CEX: The perfect balance between efficiency and transparency. 2️⃣ Marketplace: Buy and sell NFTs and exclusive tokens tied to the sports ecosystem. 3️⃣ Launchpad: Early access to innovative sports-related projects. 4️⃣ Swap: Seamless and efficient token exchanges. 5️⃣ Stake: Earn passive income while strengthening the network. 6️⃣ NFT Players Collection: Exclusive player NFTs with stats, skills, and valuable data. 7️⃣ Scouting Platform: Identify and present new talents. At $GIC Sports, anyone can take part in discovering emerging stars and join our team. Bitcoin Created Millionaires. Now It’s $GIC Sports’ Turn. Just like Bitcoin revolutionized the financial market and created a generation of millionaires, $GIC Sports is set to transform the sports and digital finance worlds. With its network already live on BSC (Binance Smart Chain) and migration to our blockchain planned after its official launch, you’ll soon be part of an even more robust and exclusive ecosystem. $GIC Sports Blockchain Timeline 📅 Testnet: December 2024 🌐 Mainnet: Coming soon, with automatic migration of current BSC tokens, maintaining their value in USDT and ensuring a seamless transition for investors and users. Why Choose $GIC Sports? ✔️ Designed to unite blockchain technology with the passion for sports. ✔️ Listed on CoinMarketCap and CoinGecko for trust and visibility. ✔️ Innovative tools like staking, NFTs, and scouting to transform the sports experience. 🔗 Join the Revolution! 🌍 Website: 📲 Telegram: 📸 Instagram: 🐦 Twitter (X): $GIC Sports is shaping the future. Don’t miss out on this groundbreaking revolution in sports and blockchain technology. Follow our journey and be part of the next big milestone in digital sports! #GICSports #Blockchain #FutureOfSports #Scouting #MillionairesWithBlockchain

⚽️ $GIC Sports: Revolutionizing Sports Management with Blockchain 🚀 Welcome to the future of sports! $GIC Sports is an innovative platform that merges blockchain technology with player management, focusing on football. Built on a powerful EVM Layer blockchain, we provide a complete ecosystem to connect players, clubs, agents, and fans like never before. What We Offer 1️⃣ Decentralized CEX: The perfect balance between efficiency and transparency. 2️⃣ Marketplace: Buy and sell NFTs and exclusive tokens tied to the sports ecosystem. 3️⃣ Launchpad: Early access to innovative sports-related projects. 4️⃣ Swap: Seamless and efficient token exchanges. 5️⃣ Stake: Earn passive income while strengthening the network. 6️⃣ NFT Players Collection: Exclusive player NFTs with stats, skills, and valuable data. 7️⃣ Scouting Platform: Identify and present new talents. At $GIC Sports, anyone can take part in discovering emerging stars and join our team. Bitcoin Created Millionaires. Now It’s $GIC Sports’ Turn. Just like Bitcoin revolutionized the financial market and created a generation of millionaires, $GIC Sports is set to transform the sports and digital finance worlds. With its network already live on BSC (Binance Smart Chain) and migration to our blockchain planned after its official launch, you’ll soon be part of an even more robust and exclusive ecosystem. $GIC Sports Blockchain Timeline 📅 Testnet: December 2024 🌐 Mainnet: Coming soon, with automatic migration of current BSC tokens, maintaining their value in USDT and ensuring a seamless transition for investors and users. Why Choose $GIC Sports? ✔️ Designed to unite blockchain technology with the passion for sports. ✔️ Listed on CoinMarketCap and CoinGecko for trust and visibility. ✔️ Innovative tools like staking, NFTs, and scouting to transform the sports experience. 🔗 Join the Revolution! 🌍 Website: 📲 Telegram: 📸 Instagram: 🐦 Twitter (X): $GIC Sports is shaping the future. Don’t miss out on this groundbreaking revolution in sports and blockchain technology. Follow our journey and be part of the next big milestone in digital sports! #GICSports #Blockchain #FutureOfSports #Scouting #MillionairesWithBlockchain

GIC SMART CHAIN | GSC

471,566 views • 1 year ago

Seedance 2 on anime scenes is actually insane This superhuman volleyball spike with the energy, fluidity and impact is on another level. PROMPT A superhuman anime volleyball player with messy dark hair, glowing green eyes and explosive athletic movement, jersey snapping violently with every jump Launches into an impossible aerial spike during a championship match, leaping so high the entire stadium freezes momentarily while the ball ignites with energy before impact Giant stadium under bright daylight with roaring fans, banners waving violently, dust and energy rippling across the court Starts with handheld-style court tracking, ultra-fast whip pans between players, slow-motion close-ups of eyes and footwork, orbit shot during the jump, exaggerated MAPPA-style smear frames and impact flashes during the spike, shockwave VFX distorting the air around the ball, ending with the spike blasting through the opponent’s defense as the floor cracks beneath impact and the entire stadium explodes in cheers while the camera spins upward into the sky above the arena Watch this ⬇️ AI anime animation just hit a new tier. Want more anime sports scenes like this?

Seedance 2 on anime scenes is actually insane This superhuman volleyball spike with the energy, fluidity and impact is on another level. PROMPT A superhuman anime volleyball player with messy dark hair, glowing green eyes and explosive athletic movement, jersey snapping violently with every jump Launches into an impossible aerial spike during a championship match, leaping so high the entire stadium freezes momentarily while the ball ignites with energy before impact Giant stadium under bright daylight with roaring fans, banners waving violently, dust and energy rippling across the court Starts with handheld-style court tracking, ultra-fast whip pans between players, slow-motion close-ups of eyes and footwork, orbit shot during the jump, exaggerated MAPPA-style smear frames and impact flashes during the spike, shockwave VFX distorting the air around the ball, ending with the spike blasting through the opponent’s defense as the floor cracks beneath impact and the entire stadium explodes in cheers while the camera spins upward into the sky above the arena Watch this ⬇️ AI anime animation just hit a new tier. Want more anime sports scenes like this?

Pierrick Chevallier | IA

24,354 views • 2 months ago

‘Catch Me Up’ #GenAI #Tennis Summaries: #Wimbledon and IBM new digital experience IBM watsonx technology for sports: Generative AI use cases for enhanced customer engagement and experiences at Wimbledon The All England Lawn Tennis Club (AELTC) and IBM are expanding their use of generative artificial intelligence (Gen AI) at this year’s Wimbledon, using the technology to create automated, personalised catchup summaries across the championships, Wimbledon’s digital channels. ‘Catch Me Up’ generates pre- and post-match player cards with AI-generated player stories containing key statistics and match highlights, as well as longer-form daily summaries of the day’s action. Gen AI was first introduced at last year’s tournament when it was used to create automated spoken word commentary for its highlights, and the AELTC and IBM believe the technology can help them cover more matches and serve diverse audiences, complementing their existing coverage. “So, this service is offering a very quick and easy way to come in and pick up on what those key storylines are that are relevant to you and to make sure that you’re aware of what’s going on. The top seed and the show courts, of course, get a lot of coverage. But there’s a lot of tennis going on across 18 courts over the two weeks, which means not all the stories get told,” added Kevin Farrar, head of sports partnerships at IBM and the company’s lead for the Wimbledon partnership. CC Helen Yu Antonio Vieira Santos arlene newbigging Elise Quevedo #WomenInTech #Innovation Dr Efi Pylarinou Enrico Molinari #VivaTech2025 Kohei Kurihara - Privacy for all together 🌍 Jean-Baptiste Lefevre Thomas Power Eveline Ruehlin Dr. Khulood Almani | د.خلود المانع Spiros Margaris Dr. Marcell Vollmer #StaySafe #CES2026 Xavier Gomez Antonio Grasso Estrella Sen. Sally Eaves Alvin Foo Urs Bolt 🇨🇭🇵🇭 ALBERTO GARUCCIO Tony Moroney #DigitalTransformation Mike de Waal Theodora (Theo) Lau - 劉䂀曼 🌻 💙 #TechForGood 💙 Franco Ronconi 🇮🇹 Thinkers360 Ronald van Loon ipfconline

‘Catch Me Up’ #GenAI #Tennis Summaries: #Wimbledon and IBM new digital experience IBM watsonx technology for sports: Generative AI use cases for enhanced customer engagement and experiences at Wimbledon The All England Lawn Tennis Club (AELTC) and IBM are expanding their use of generative artificial intelligence (Gen AI) at this year’s Wimbledon, using the technology to create automated, personalised catchup summaries across the championships, Wimbledon’s digital channels. ‘Catch Me Up’ generates pre- and post-match player cards with AI-generated player stories containing key statistics and match highlights, as well as longer-form daily summaries of the day’s action. Gen AI was first introduced at last year’s tournament when it was used to create automated spoken word commentary for its highlights, and the AELTC and IBM believe the technology can help them cover more matches and serve diverse audiences, complementing their existing coverage. “So, this service is offering a very quick and easy way to come in and pick up on what those key storylines are that are relevant to you and to make sure that you’re aware of what’s going on. The top seed and the show courts, of course, get a lot of coverage. But there’s a lot of tennis going on across 18 courts over the two weeks, which means not all the stories get told,” added Kevin Farrar, head of sports partnerships at IBM and the company’s lead for the Wimbledon partnership. CC Helen Yu Antonio Vieira Santos arlene newbigging Elise Quevedo #WomenInTech #Innovation Dr Efi Pylarinou Enrico Molinari #VivaTech2025 Kohei Kurihara - Privacy for all together 🌍 Jean-Baptiste Lefevre Thomas Power Eveline Ruehlin Dr. Khulood Almani | د.خلود المانع Spiros Margaris Dr. Marcell Vollmer #StaySafe #CES2026 Xavier Gomez Antonio Grasso Estrella Sen. Sally Eaves Alvin Foo Urs Bolt 🇨🇭🇵🇭 ALBERTO GARUCCIO Tony Moroney #DigitalTransformation Mike de Waal Theodora (Theo) Lau - 劉䂀曼 🌻 💙 #TechForGood 💙 Franco Ronconi 🇮🇹 Thinkers360 Ronald van Loon ipfconline

Dinis Guarda

12,360 views • 2 years ago

Austria's pension system is heavily reliant on tax funding, while private retirement savings are barely incentivised. That makes it all the more important for individuals to take their financial future into their own hands. With today's launch, we're giving Austrians the tools to do just that: — Automatic tax deduction on capital gains and Crypto. — A free current account with the full ECB interest rate, uncapped, on all cash deposits. — Austrian IBANs, making it easy to receive your salary directly on Trade Republic. After France and Italy, we are proud to have Austria as our third fully localised market, taking one more step toward our mission of democratising wealth across Europe. #TradeRepublic #Austria #Taxeasy

Austria's pension system is heavily reliant on tax funding, while private retirement savings are barely incentivised. That makes it all the more important for individuals to take their financial future into their own hands. With today's launch, we're giving Austrians the tools to do just that: — Automatic tax deduction on capital gains and Crypto. — A free current account with the full ECB interest rate, uncapped, on all cash deposits. — Austrian IBANs, making it easy to receive your salary directly on Trade Republic. After France and Italy, we are proud to have Austria as our third fully localised market, taking one more step toward our mission of democratising wealth across Europe. #TradeRepublic #Austria #Taxeasy

Trade Republic

33,365 views • 1 year ago

CHINESE SCIENTIST BUILT A MEMORY SYSTEM THAT WATCHES ITS OWN INDICATORS FOR SIGNS OF DRIFT Most memory systems store facts flat, with no signal for when stored knowledge quietly goes stale. He built four indicators instead: reference frequency, contradiction rate, decay speed, and confidence spread. A memory scoring high on contradiction rate gets flagged as unstable before it ever misleads a query. When multiple indicators spike together, the system treats that as a complex symptom, not four isolated flags. That combined symptom detection is what catches drift a single indicator alone would miss entirely. See how all four indicators interact below👇

CHINESE SCIENTIST BUILT A MEMORY SYSTEM THAT WATCHES ITS OWN INDICATORS FOR SIGNS OF DRIFT Most memory systems store facts flat, with no signal for when stored knowledge quietly goes stale. He built four indicators instead: reference frequency, contradiction rate, decay speed, and confidence spread. A memory scoring high on contradiction rate gets flagged as unstable before it ever misleads a query. When multiple indicators spike together, the system treats that as a complex symptom, not four isolated flags. That combined symptom detection is what catches drift a single indicator alone would miss entirely. See how all four indicators interact below👇

wast3

44,821 views • 18 days ago

The International Olympic Committee is rotten from the inside. At the 144th IOC Session held in Greece from March 19 to 21, Shamil Tarpischev was re-elected as an IOC member until 2028. Shamil Tarpischev, a russian tennis player, coach, sports official, and President of the russian Tennis Federation. In the 1990s, he was a close ally of russian President Boris Yeltsin and led several state sports organizations. His 30-year tenure as head of the russian Tennis Federation would be unimaginable without state backing, as major sports federations in russia are tightly controlled by the government. Tarpishchev has a reputation as a person close to the Kremlin "elites", frequently appearing alongside putin at public events, particularly sports-related ones. In July 2022, after russia’s full-scale invasion of Ukraine began, Tarpischev was awarded the Order "For Merit to the Fatherland" II degree by putin’s decree. In autumn 2022, Tarpischev enthusiastically supported the idea of forming military units composed of russian professional athletes to commit atrocities in Ukraine. He stated, “Creating volunteer units from professional athletes is a good idea. I can’t say more at this point. We need to meet and discuss this proposal with its developers.” Despite this, just two weeks ago, Tarpischev was re-elected to the IOC. Footage shows the future IOC President warmly greeting him with a kiss and posing for a photo with a smile alongside an individual who openly supports russia’s war against Ukraine. Is this the IOC’s version of “solidarity” with Ukraine? russian scum who support the war have no place in the IOC. ❗️Tarpischev must be removed from his position in the IOC❗️

The International Olympic Committee is rotten from the inside. At the 144th IOC Session held in Greece from March 19 to 21, Shamil Tarpischev was re-elected as an IOC member until 2028. Shamil Tarpischev, a russian tennis player, coach, sports official, and President of the russian Tennis Federation. In the 1990s, he was a close ally of russian President Boris Yeltsin and led several state sports organizations. His 30-year tenure as head of the russian Tennis Federation would be unimaginable without state backing, as major sports federations in russia are tightly controlled by the government. Tarpishchev has a reputation as a person close to the Kremlin "elites", frequently appearing alongside putin at public events, particularly sports-related ones. In July 2022, after russia’s full-scale invasion of Ukraine began, Tarpischev was awarded the Order "For Merit to the Fatherland" II degree by putin’s decree. In autumn 2022, Tarpischev enthusiastically supported the idea of forming military units composed of russian professional athletes to commit atrocities in Ukraine. He stated, “Creating volunteer units from professional athletes is a good idea. I can’t say more at this point. We need to meet and discuss this proposal with its developers.” Despite this, just two weeks ago, Tarpischev was re-elected to the IOC. Footage shows the future IOC President warmly greeting him with a kiss and posing for a photo with a smile alongside an individual who openly supports russia’s war against Ukraine. Is this the IOC’s version of “solidarity” with Ukraine? russian scum who support the war have no place in the IOC. ❗️Tarpischev must be removed from his position in the IOC❗️

Vladyslav Heraskevych OLY

211,563 views • 1 year ago

TESLA SERVICE MODE: THE DREAM INTERFACE FOR A DRIVERLESS FUTURE This isn’t an everyday UI; it’s raw, real-time data with zero filters. It’s the layer beneath the surface, normally hidden, now fully revealed. ⦁ Live metrics update up to 100 times per second: voltage, temps, torque, and more ⦁ Reinstalls updates, calibrates cameras, retracts brakes, giving you hands-on tools for real repair ⦁ Direct actuator control, fault codes, CAN logs; no guesswork, no guess tools ⦁ Infrared thermal camera + neural net visualizer bring FSD perception to life ⦁ Deep-dive battery analytics beat any EV on the market ⦁ Elon: “Service Mode is the most transparent diagnostic system ever built" This is Tesla pulling the curtain all the way back. Source: Tesla

TESLA SERVICE MODE: THE DREAM INTERFACE FOR A DRIVERLESS FUTURE This isn’t an everyday UI; it’s raw, real-time data with zero filters. It’s the layer beneath the surface, normally hidden, now fully revealed. ⦁ Live metrics update up to 100 times per second: voltage, temps, torque, and more ⦁ Reinstalls updates, calibrates cameras, retracts brakes, giving you hands-on tools for real repair ⦁ Direct actuator control, fault codes, CAN logs; no guesswork, no guess tools ⦁ Infrared thermal camera + neural net visualizer bring FSD perception to life ⦁ Deep-dive battery analytics beat any EV on the market ⦁ Elon: “Service Mode is the most transparent diagnostic system ever built" This is Tesla pulling the curtain all the way back. Source: Tesla

Mario Nawfal

48,176 views • 7 months ago

most of you don't know how hard hermes agent is optimized for local AI at the system level. watch the full setup flow on screen. you paste an openai-compatible v1 endpoint, hermes auto-detects every model running behind it. doesn't matter if it's llama.cpp or vllm or any compatible server, all your models surface and become selectable in seconds. no config gymnastics, no manual model list. then it goes deeper. hermes ships with per model parsers, prompt template auto-handling, tool call format detection per model architecture, thinking mode awareness, all the small friction points other harnesses leak on. these were not built for cloud apis with one canonical model. they were built for builders running 10 different local models across 10 different stacks. cloud first harnesses bolt local support on top. hermes agent is local first from the architecture out. that's the system level gap. if you're getting started on local AI, this is the harness you start with. try for yourself and find out. anyone serious about local AI lands here eventually.

most of you don't know how hard hermes agent is optimized for local AI at the system level. watch the full setup flow on screen. you paste an openai-compatible v1 endpoint, hermes auto-detects every model running behind it. doesn't matter if it's llama.cpp or vllm or any compatible server, all your models surface and become selectable in seconds. no config gymnastics, no manual model list. then it goes deeper. hermes ships with per model parsers, prompt template auto-handling, tool call format detection per model architecture, thinking mode awareness, all the small friction points other harnesses leak on. these were not built for cloud apis with one canonical model. they were built for builders running 10 different local models across 10 different stacks. cloud first harnesses bolt local support on top. hermes agent is local first from the architecture out. that's the system level gap. if you're getting started on local AI, this is the harness you start with. try for yourself and find out. anyone serious about local AI lands here eventually.

Sudo su

14,407 views • 3 months ago

OK COMPUTER collection is 100% fully onchain, obviously but did u know within the nft itself we embedded an interactive terminal as well as a full-on 3d graphics engine? each bot also comes with their own unique generative artpiece, accessible by executing "run" in the terminal, amongst other fun terminal commands, try it out.. the best thing is: the terminal is *UPGRADEABLE*, which means future additions to the terminal is possible, stay tuned. all of this tech happening 100% onchain 🤖👌

OK COMPUTER collection is 100% fully onchain, obviously but did u know within the nft itself we embedded an interactive terminal as well as a full-on 3d graphics engine? each bot also comes with their own unique generative artpiece, accessible by executing "run" in the terminal, amongst other fun terminal commands, try it out.. the best thing is: the terminal is UPGRADEABLE, which means future additions to the terminal is possible, stay tuned. all of this tech happening 100% onchain 🤖👌

dailofrog 🐸🚬

56,301 views • 1 year ago

🇩🇪 JUST IN: Following a left-wing terror attack that cut power to 110,000 people in Berlin, Mayor Kai Wegner (CDU) has admitted he was playing tennis hours after the blackout hit. "Yes, I was playing tennis on Saturday," Wegner said on Wednesday evening on RBB. "Looking back, I should have said what I did on Saturday on Sunday." There are now calls for him to resign from a number of opposition politicians after he originally said he was doing home office all day. In response, he said: "I cannot prevent the opposition from saying this now. I believe the crucial thing is that we have shown that we can have a crisis, that Berliners in the affected areas now have electricity and heat again.“ He defended his tennis match with a fellow CDU politician, saying it was exercise and only lasted an hour.

🇩🇪 JUST IN: Following a left-wing terror attack that cut power to 110,000 people in Berlin, Mayor Kai Wegner (CDU) has admitted he was playing tennis hours after the blackout hit. "Yes, I was playing tennis on Saturday," Wegner said on Wednesday evening on RBB. "Looking back, I should have said what I did on Saturday on Sunday." There are now calls for him to resign from a number of opposition politicians after he originally said he was doing home office all day. In response, he said: "I cannot prevent the opposition from saying this now. I believe the crucial thing is that we have shown that we can have a crisis, that Berliners in the affected areas now have electricity and heat again.“ He defended his tennis match with a fellow CDU politician, saying it was exercise and only lasted an hour.

Remix News & Views

25,375 views • 7 months ago

A guy with +$3.65M in sports profit has loaded $20k on upcoming Cincinnati Open matches. His biggest positions: $8.5k - Anisimova to beat Eala $3.1k - Landaluce to beat Tirante $2.1k - Jodar to beat Tabilo If all three hit: payout: $26.1k potential profit: +$12.4k Amanda Anisimova - he's backing the more experienced player against the rising Eala, betting on her experience at this level. Martin Landaluce - he's taking the underdog after beating Matteo Arnaldi. Tirante just upset Novak Djokovic, so he likely sees that result as a fluke. Rafael Jodar - he's trusting Jodar's strong form after his recent run. Jodar is 8-2 in his last 10, while Tabilo is 5-5. Besides these three, he has loaded another $6k on other Cincinnati Open matches. If all his bets hit, total payout: $39k, for a potential profit of $20k. His biggest recent Cincinnati Open wins: +$47.4k - Cerundolo to beat Rinderknech +$14.6k - Faria to beat Shelton +$6.5k - Svitolina to beat Valentova He made $235k on tennis over the past week. Will his picks hit again today?

A guy with +$3.65M in sports profit has loaded $20k on upcoming Cincinnati Open matches. His biggest positions: $8.5k - Anisimova to beat Eala $3.1k - Landaluce to beat Tirante $2.1k - Jodar to beat Tabilo If all three hit: payout: $26.1k potential profit: +$12.4k Amanda Anisimova - he's backing the more experienced player against the rising Eala, betting on her experience at this level. Martin Landaluce - he's taking the underdog after beating Matteo Arnaldi. Tirante just upset Novak Djokovic, so he likely sees that result as a fluke. Rafael Jodar - he's trusting Jodar's strong form after his recent run. Jodar is 8-2 in his last 10, while Tabilo is 5-5. Besides these three, he has loaded another $6k on other Cincinnati Open matches. If all his bets hit, total payout: $39k, for a potential profit of $20k. His biggest recent Cincinnati Open wins: +$47.4k - Cerundolo to beat Rinderknech +$14.6k - Faria to beat Shelton +$6.5k - Svitolina to beat Valentova He made $235k on tennis over the past week. Will his picks hit again today?

me_cool_off

25,731 views • 11 days ago

Angel of the Gym, seedance prompt: Presented in the style of raw, handheld iPhone video footage, with all camera settings set to automatic, no post-processing color grading or special effects. The footage features slight hand-held shake and the operator's breathing sensation, occasional autofocus searching, delay, and brief loss of focus, automatic white balance switching between gym lighting and natural light. The image is flat overall, preserving real edge color fringing, slight overexposure, motion blur, and other optical imperfections. Only in-camera natural ambient sounds are used, including gym equipment sounds and faint air conditioning noise. Shot from a first-person handheld perspective, with natural reactive camera movements, occasionally slight swaying due to walking or adjusting angles. Medium and close-up compositions alternate, clearly showing the full body and action details of a plus-size Asian woman. Wearing the reference image of an elegant gold-embroidered long dress, she is exercising in the gym. She is wearing this formal dress, using cable machines and seated machines. At 0 seconds, the camera focuses on the woman from a medium shot, she is standing in front of the cable machine, hands gripping the handles ready to pull, the dress naturally flowing down. She slightly bows her head, quickly glancing at the camera with a hint of shyness. At 1 second, she starts pulling the cable with force, her body swaying back and forth, the sheer shoulder cape and skirt fluttering slightly with the movement. She frowns slightly as she exerts effort, occasionally looking up at the camera with a shy gaze. At 2 seconds, the woman continues pulling the machine, her movements accelerating, the dress fluttering with her body's sway. She looks up with a faint smile on her lips as she gazes at the camera. At 3 seconds, she stops pulling and walks to the nearby seated machine, sitting down, the dress swaying significantly with the movement. She lowers her head to adjust the hem and collar of the dress, her face showing a shy expression. At 4 seconds, she sits on the machine, leaning slightly forward, hands placed on her legs adjusting her posture. As she lowers her head to adjust her clothes, she looks at the camera with a shy gaze. At 5 seconds, she gently places her hands on her chest, slightly tilting her head up as she looks at the camera, a natural, slightly shy smile on her lips. At 6 seconds, she remains seated on the machine, looking at the camera with a soft gaze, a shy yet happy smile on her face, slightly adjusting her sitting posture. At 7 seconds, she stands up from the machine, the camera follows her movement, the dress fluttering slightly as she walks. She looks back at the camera with a shy and gentle smile. The footage presents a genuine, raw, handheld video quality with a documentary-level sense of natural imperfection, without any post-processing color grading or special effects. All camera behaviors conform to the physical characteristics of an iPhone being used in a gym.

Angel of the Gym, seedance prompt: Presented in the style of raw, handheld iPhone video footage, with all camera settings set to automatic, no post-processing color grading or special effects. The footage features slight hand-held shake and the operator's breathing sensation, occasional autofocus searching, delay, and brief loss of focus, automatic white balance switching between gym lighting and natural light. The image is flat overall, preserving real edge color fringing, slight overexposure, motion blur, and other optical imperfections. Only in-camera natural ambient sounds are used, including gym equipment sounds and faint air conditioning noise. Shot from a first-person handheld perspective, with natural reactive camera movements, occasionally slight swaying due to walking or adjusting angles. Medium and close-up compositions alternate, clearly showing the full body and action details of a plus-size Asian woman. Wearing the reference image of an elegant gold-embroidered long dress, she is exercising in the gym. She is wearing this formal dress, using cable machines and seated machines. At 0 seconds, the camera focuses on the woman from a medium shot, she is standing in front of the cable machine, hands gripping the handles ready to pull, the dress naturally flowing down. She slightly bows her head, quickly glancing at the camera with a hint of shyness. At 1 second, she starts pulling the cable with force, her body swaying back and forth, the sheer shoulder cape and skirt fluttering slightly with the movement. She frowns slightly as she exerts effort, occasionally looking up at the camera with a shy gaze. At 2 seconds, the woman continues pulling the machine, her movements accelerating, the dress fluttering with her body's sway. She looks up with a faint smile on her lips as she gazes at the camera. At 3 seconds, she stops pulling and walks to the nearby seated machine, sitting down, the dress swaying significantly with the movement. She lowers her head to adjust the hem and collar of the dress, her face showing a shy expression. At 4 seconds, she sits on the machine, leaning slightly forward, hands placed on her legs adjusting her posture. As she lowers her head to adjust her clothes, she looks at the camera with a shy gaze. At 5 seconds, she gently places her hands on her chest, slightly tilting her head up as she looks at the camera, a natural, slightly shy smile on her lips. At 6 seconds, she remains seated on the machine, looking at the camera with a soft gaze, a shy yet happy smile on her face, slightly adjusting her sitting posture. At 7 seconds, she stands up from the machine, the camera follows her movement, the dress fluttering slightly as she walks. She looks back at the camera with a shy and gentle smile. The footage presents a genuine, raw, handheld video quality with a documentary-level sense of natural imperfection, without any post-processing color grading or special effects. All camera behaviors conform to the physical characteristics of an iPhone being used in a gym.

John

61,102 views • 3 months ago

THAT $70 "RUN YOUR OWN LLMS" PI KIT CAN'T RUN A SINGLE LLM. IT'S A VISION CHIP WITH NO RAM. that clip sells a raspberry pi 5 in a slick case with an ai accelerator and the caption "your own llms." clean build, fun kit. the claim is where it breaks. the fine print: the popular $70 pi ai kit uses a hailo-8l, 13 tops. it's built for vision, object detection and image processing, and it has no memory of its own. so it cannot run large language models. full stop the board that actually can is a different one: the newer ai hat+ 2, hailo-10h, 40 tops, with 8gb of dedicated ram. that's $130, not $70 and even that runs only tiny models. llama 3.2 at 1b, qwen 2.5 at 1.5b, deepseek r1 at 1.5b. edge llms live in the 1-7b range, against cloud models at 500b to 2 trillion so the honest pitch: for $130 you can run a very small language model on a pi, slowly, as a fun learning project. that's real and it's cool. "your own llms" on a $70 vision kit is not. why this keeps happening: "ai kit" and a big "tops" number sell. tops sounds like intelligence. but tops measures vision-style math, not whether the chip has the memory to hold a language model. the spec that matters for llms is ram, and the cheap kit has none. the honest caveats, both ways: the $70 kit is genuinely great, just at vision. cameras, object detection, that's its job the $130 hat really does run small llms locally, which a pi couldn't do at all two years ago. that's progress "small" is the load-bearing word. don't expect gpt at home on a pi the takeaway: before you buy a kit because the caption says llm, check two numbers. not the tops. the ram, and the size of the model it can actually load. no 70-dollar miracle, no gpt in a pi case, no tops number that means what you think. save this before you buy the wrong kit for the word on the box.

THAT $70 "RUN YOUR OWN LLMS" PI KIT CAN'T RUN A SINGLE LLM. IT'S A VISION CHIP WITH NO RAM. that clip sells a raspberry pi 5 in a slick case with an ai accelerator and the caption "your own llms." clean build, fun kit. the claim is where it breaks. the fine print: the popular $70 pi ai kit uses a hailo-8l, 13 tops. it's built for vision, object detection and image processing, and it has no memory of its own. so it cannot run large language models. full stop the board that actually can is a different one: the newer ai hat+ 2, hailo-10h, 40 tops, with 8gb of dedicated ram. that's $130, not $70 and even that runs only tiny models. llama 3.2 at 1b, qwen 2.5 at 1.5b, deepseek r1 at 1.5b. edge llms live in the 1-7b range, against cloud models at 500b to 2 trillion so the honest pitch: for $130 you can run a very small language model on a pi, slowly, as a fun learning project. that's real and it's cool. "your own llms" on a $70 vision kit is not. why this keeps happening: "ai kit" and a big "tops" number sell. tops sounds like intelligence. but tops measures vision-style math, not whether the chip has the memory to hold a language model. the spec that matters for llms is ram, and the cheap kit has none. the honest caveats, both ways: the $70 kit is genuinely great, just at vision. cameras, object detection, that's its job the $130 hat really does run small llms locally, which a pi couldn't do at all two years ago. that's progress "small" is the load-bearing word. don't expect gpt at home on a pi the takeaway: before you buy a kit because the caption says llm, check two numbers. not the tops. the ram, and the size of the model it can actually load. no 70-dollar miracle, no gpt in a pi case, no tops number that means what you think. save this before you buy the wrong kit for the word on the box.

RetroChainer

11,100 views • 1 month ago

The entire timeline is filled with talks on sentient and all, but I love being as informative and precise as possible on pressing issues. Let’s quickly talk about @SentientAGI’s Recursive Open Meta Agent (ROMA); ROMA is an open-source meta-agent framework used to build high performance multi-agent systems. ROMA serves as the conductor in a mass choir, or a captain of a ship . The captain gives commands for the other subordinates to follow to ensure efficiency on all sides. In this like manner, it provides a hierarchical tress system where the parent agents break down complex tasks to create simpler subtasks that are then passed on to children nodes. A family tree has the parents above, likewise the same tree analogy works here, but that’s not all that makes it stand out The results and solutions gotten by these child nodes are then aggregated together and there’s an up flow of results sent back up to the parent nodes. And at the center of it all is ROMA engineering and making sure all is running smoothly without break or fail. Are you really bullish on Sentient and the future of AGIs?

The entire timeline is filled with talks on sentient and all, but I love being as informative and precise as possible on pressing issues. Let’s quickly talk about @SentientAGI’s Recursive Open Meta Agent (ROMA); ROMA is an open-source meta-agent framework used to build high performance multi-agent systems. ROMA serves as the conductor in a mass choir, or a captain of a ship . The captain gives commands for the other subordinates to follow to ensure efficiency on all sides. In this like manner, it provides a hierarchical tress system where the parent agents break down complex tasks to create simpler subtasks that are then passed on to children nodes. A family tree has the parents above, likewise the same tree analogy works here, but that’s not all that makes it stand out The results and solutions gotten by these child nodes are then aggregated together and there’s an up flow of results sent back up to the parent nodes. And at the center of it all is ROMA engineering and making sure all is running smoothly without break or fail. Are you really bullish on Sentient and the future of AGIs?

OHJAY ⭕️ || 🇬🇧

23,521 views • 10 months ago

Can a handcuff made of paper really lock your heart in place? 回帖里还有另一版，哪个更好？ Seedance prompt: 👉👉👊👊Presented in a style that resembles real video footage captured with an unprocessed iPhone handheld camera. All camera settings are automated. The footage features noticeable handheld shake and operator breathing sounds. Autofocus operates quickly in dim environments, frequently searching for targets among colored lights, with delays. Automatic white balance changes dramatically with the shift between purple-blue lighting on the stage and skin highlights. The image is generally dark and noisy, but retains real lens flares, overexposure in high-light areas, motion blur, and severe background blurring. Only in-built environmental sounds are used: low-frequency electronic music from the nightclub (severely distorted through the phone microphone), noise from crowds, and drumbeats with a sense of vibration. The microphone also has significant distortion at low frequencies. The footage is captured from the perspective of real people/audience members. The composition is occasionally imperfect, with slight tilts or cropping at the edges. A young Asian woman is used as a reference for the appearance of the character. She has long black wavy hair, and she is wearing… She wore a golden sequined dress, standing on the stage of the nightclub. At 0-3 seconds, the camera pans slightly within the crowd at the nightclub, with the image being slightly dark, focusing on the stage. In front of her, a black-clothed person wearing a mask handed her several folded white strips of paper. She took the papers, then slowly wrapped them around her wrists, simulating the effect of being tied with ropes. Her movements were deliberate and slow. The white paper left obvious marks on her wrists. From time to time, she would look up at the camera, with a playful smile on her lips. The stage was illuminated by purple-blue lights, with the camera adjusting its exposure between the lights and the person in front of it, resulting in slight overexposure and noise in the image. In the background, we could see the stage lights reflecting off the crowd and equipment, with noisy environmental sounds in the background. At 3-7 seconds, the camera moves forward, switching to a closer handheld perspective.She wore white strips around her wrists (simulating ropes), and began to perform in a seductive dance pose before the first-person camera. Her body moved slowly, with her hands “bound” by the strips, either overlapping or raised forward. Her waist and hips swayed gently to the rhythm of the music, her eyes fixed straight at the camera, with a hint of teasing and inviting gaze. Occasionally, she would look down at her wrists, then raise her head again, her eyes casting an even more suggestive light toward the camera. She leaned forward, her movements full of seduction yet elegant. The golden sequin dress shimmered under the colored lights, and the camera quickly locked onto her image. The male singer and stage lighting in the background were heavily blurred, creating a strong mobile phone-style background blur and light spots. The low-frequency music was severely distorted through the microphone, and the camera shook slightly due to the operator’s proximity, along with the sound of breathing.The entire scene depicts a dark, noisy, and unstable environment, reminiscent of a real nightclub setting. At the end of the scene, the camera focuses on her hands, wrapped in white paper, as she maintains a seductive dancing posture. Her eyes are fixed straight ahead, and the camera moves slightly back and forth.

Can a handcuff made of paper really lock your heart in place? 回帖里还有另一版，哪个更好？ Seedance prompt: 👉👉👊👊Presented in a style that resembles real video footage captured with an unprocessed iPhone handheld camera. All camera settings are automated. The footage features noticeable handheld shake and operator breathing sounds. Autofocus operates quickly in dim environments, frequently searching for targets among colored lights, with delays. Automatic white balance changes dramatically with the shift between purple-blue lighting on the stage and skin highlights. The image is generally dark and noisy, but retains real lens flares, overexposure in high-light areas, motion blur, and severe background blurring. Only in-built environmental sounds are used: low-frequency electronic music from the nightclub (severely distorted through the phone microphone), noise from crowds, and drumbeats with a sense of vibration. The microphone also has significant distortion at low frequencies. The footage is captured from the perspective of real people/audience members. The composition is occasionally imperfect, with slight tilts or cropping at the edges. A young Asian woman is used as a reference for the appearance of the character. She has long black wavy hair, and she is wearing… She wore a golden sequined dress, standing on the stage of the nightclub. At 0-3 seconds, the camera pans slightly within the crowd at the nightclub, with the image being slightly dark, focusing on the stage. In front of her, a black-clothed person wearing a mask handed her several folded white strips of paper. She took the papers, then slowly wrapped them around her wrists, simulating the effect of being tied with ropes. Her movements were deliberate and slow. The white paper left obvious marks on her wrists. From time to time, she would look up at the camera, with a playful smile on her lips. The stage was illuminated by purple-blue lights, with the camera adjusting its exposure between the lights and the person in front of it, resulting in slight overexposure and noise in the image. In the background, we could see the stage lights reflecting off the crowd and equipment, with noisy environmental sounds in the background. At 3-7 seconds, the camera moves forward, switching to a closer handheld perspective.She wore white strips around her wrists (simulating ropes), and began to perform in a seductive dance pose before the first-person camera. Her body moved slowly, with her hands “bound” by the strips, either overlapping or raised forward. Her waist and hips swayed gently to the rhythm of the music, her eyes fixed straight at the camera, with a hint of teasing and inviting gaze. Occasionally, she would look down at her wrists, then raise her head again, her eyes casting an even more suggestive light toward the camera. She leaned forward, her movements full of seduction yet elegant. The golden sequin dress shimmered under the colored lights, and the camera quickly locked onto her image. The male singer and stage lighting in the background were heavily blurred, creating a strong mobile phone-style background blur and light spots. The low-frequency music was severely distorted through the microphone, and the camera shook slightly due to the operator’s proximity, along with the sound of breathing.The entire scene depicts a dark, noisy, and unstable environment, reminiscent of a real nightclub setting. At the end of the scene, the camera focuses on her hands, wrapped in white paper, as she maintains a seductive dancing posture. Her eyes are fixed straight ahead, and the camera moves slightly back and forth.

John

16,065 views • 2 months ago