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A Sticky Greeting for Juno 🛰️ 🔊Lerico - 🎵 Sound Editor (Commissions Open) 🗣️ZeroDiamonds (UNAVAILABLE Aug 3-18) model by dzooworks🔞 male by TAU hq 4K at 🍊 #Overwatch2 #Juno #OVERWATCHjuno

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Bewyx

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1,049,392 次观看 • 1 年前 •via X (Twitter)

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EdgeFold by RalenArc 🪡 Sound on 🔊 Long-form generative art with parent-child provenance and on-chain metadata. Inspired by the Bauhaus textile weaving patterns. More below 👇 🟧 Drop Mechanics Date & Time: Thursday, June 19th at 11am ET 🟠 1/1/512 collection inscribed 🟠 Mint on Magic Eden on Bitcoin 🟧 Launchpad 🟠 Phase 1: My Ordinals holders 🟠 Phase 2: FCFS WL 🟠 Phase 3: Public Price: - Phase 1: 0.00040 BTC - Phase 2: 0.00060 BTC - Phase 3: 0.00070 BTC ✨ Collectors who acquire 9 or more pieces directly during the primary sale will get a complimentary signed print on premium hand-torn deckled-edge paper. Join my discord here. Giveaways coming soon 👇 Currently open for community collabs, please DM. Art on Bitcoin 🧡
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EdgeFold by RalenArc 🪡 Sound on 🔊 Long-form generative art with parent-child provenance and on-chain metadata. Inspired by the Bauhaus textile weaving patterns. More below 👇 🟧 Drop Mechanics Date & Time: Thursday, June 19th at 11am ET 🟠 1/1/512 collection inscribed 🟠 Mint on Magic Eden on Bitcoin 🟧 Launchpad 🟠 Phase 1: My Ordinals holders 🟠 Phase 2: FCFS WL 🟠 Phase 3: Public Price: - Phase 1: 0.00040 BTC - Phase 2: 0.00060 BTC - Phase 3: 0.00070 BTC ✨ Collectors who acquire 9 or more pieces directly during the primary sale will get a complimentary signed print on premium hand-torn deckled-edge paper. Join my discord here. Giveaways coming soon 👇 Currently open for community collabs, please DM. Art on Bitcoin 🧡

RalenArc

13,749 次观看 • 1 年前

SITUATION EXPLAINED: MiniMax released H3 with open weights, and it's already #1 in video editing. • Priced at $7.80 per minute of 2K video, against Seedance 2.0 at $22.45 and Kling 3.0 at $20.16 • It ranks #1 on Artificial Analysis for video editing, #2 for text-to-video behind Gemini Omni Flash, and #3 for image-to-video • H3 takes text, images, video, and audio in a single context and generates 5-15 second clips at native 2K, 24fps, with native stereo audio • MiniMax is releasing the weights under its Community License within days, which would make it the strongest open-weights video model by a wide margin • It launched the same week ByteDance rolled out Seedance 2.5, which now generates 30-second 4K video from a single prompt • Seedance 2.5's face consistency across a full 30 seconds is the visible jump, earlier models drifted into a different face partway through • Voices are still the obvious tell, the video reads as real long before the audio does • Smaller labs building purpose-built video models are now beating frontier labs at this specific task Theo Jaffee: "This is gonna be one of the biggest examples of things that people are gonna do with these models, historical simulations, basically. Nostalgia videos for zoomers."
7:17

SITUATION EXPLAINED: MiniMax released H3 with open weights, and it's already #1 in video editing. • Priced at $7.80 per minute of 2K video, against Seedance 2.0 at $22.45 and Kling 3.0 at $20.16 • It ranks #1 on Artificial Analysis for video editing, #2 for text-to-video behind Gemini Omni Flash, and #3 for image-to-video • H3 takes text, images, video, and audio in a single context and generates 5-15 second clips at native 2K, 24fps, with native stereo audio • MiniMax is releasing the weights under its Community License within days, which would make it the strongest open-weights video model by a wide margin • It launched the same week ByteDance rolled out Seedance 2.5, which now generates 30-second 4K video from a single prompt • Seedance 2.5's face consistency across a full 30 seconds is the visible jump, earlier models drifted into a different face partway through • Voices are still the obvious tell, the video reads as real long before the audio does • Smaller labs building purpose-built video models are now beating frontier labs at this specific task Theo Jaffee: "This is gonna be one of the biggest examples of things that people are gonna do with these models, historical simulations, basically. Nostalgia videos for zoomers."

MTS

55,187 次观看 • 19 天前

Streetopia - Get Out Of Reet 🎬 Introducing the initial installment of an evolving tale brought to life by Generative AI. This captivating narrative has emerged from numerous poorman experiments and showcases the potential for an ongoing series of bite-sized episodes, each lasting under a minute. How I did do it? 1. All 3-4 shots of me are on green screen. 2. Backgrounds were created in a photo editor using stock pictures. Mostly stitched. Different aspect ratios. 3. I downloaded static 3D models & Animated models (greenscreen/alpha) and played with them in my motion graphics editor. Filled in some storefront windows with more videos. 4. Did some masking magic, camera movement, and played with layers and depth... for example, I masked the sky to add a storm and t-rex 🦖 5. Sent individual clips to Superstudio (in 4k) 6. Exported favorite renders (in 4k) and sent them to my video editor for choppin', sound design (poppin'), and voiceover (in 4k). See thread for examples. Challenges: • I wish I had a treadmill to actually look like I'm walking. • I was lucky with frame consistency. Except for the wide shot that fuzzed my face (me on the couch). I re-did the shot on Kaiber in a close-up and manually key-framed my face on that wide shot. • I couldn't do much about the buggy eyes in the last clip. • No butterflies were harmed in this video. How long did it take: • A day and a half with tons of happy accidents • How long will it take you? Probably much longer if you don't know how to shoot, edit, design, composite, edit sound, or know where to look for assets. But it's not impossible! What's the plan? To continue the story while still learning and experimenting along the way. This is a much longer process. Very tiring. Might try doing it weekly or bi-weekly. What's the story about? In the quest to escape Reet, everyone yearns for freedom. Ricardo, however, carries a hint of cynicism. He finds pleasure in the disorder and may seem reluctant to lend a hand. Nevertheless, the encounters with diverse characters along his odyssey will ignite a transformation within him, although not without challenges. Gradually, he will come to realize the profound truth: "Helping others is away is a way of helping ourselves." HQ Video: #GenerativeAI #ArtistOnTwitter #aiartcommunity #AIArtistCommunity #video2video
0:41

Streetopia - Get Out Of Reet 🎬 Introducing the initial installment of an evolving tale brought to life by Generative AI. This captivating narrative has emerged from numerous poorman experiments and showcases the potential for an ongoing series of bite-sized episodes, each lasting under a minute. How I did do it? 1. All 3-4 shots of me are on green screen. 2. Backgrounds were created in a photo editor using stock pictures. Mostly stitched. Different aspect ratios. 3. I downloaded static 3D models & Animated models (greenscreen/alpha) and played with them in my motion graphics editor. Filled in some storefront windows with more videos. 4. Did some masking magic, camera movement, and played with layers and depth... for example, I masked the sky to add a storm and t-rex 🦖 5. Sent individual clips to Superstudio (in 4k) 6. Exported favorite renders (in 4k) and sent them to my video editor for choppin', sound design (poppin'), and voiceover (in 4k). See thread for examples. Challenges: • I wish I had a treadmill to actually look like I'm walking. • I was lucky with frame consistency. Except for the wide shot that fuzzed my face (me on the couch). I re-did the shot on Kaiber in a close-up and manually key-framed my face on that wide shot. • I couldn't do much about the buggy eyes in the last clip. • No butterflies were harmed in this video. How long did it take: • A day and a half with tons of happy accidents • How long will it take you? Probably much longer if you don't know how to shoot, edit, design, composite, edit sound, or know where to look for assets. But it's not impossible! What's the plan? To continue the story while still learning and experimenting along the way. This is a much longer process. Very tiring. Might try doing it weekly or bi-weekly. What's the story about? In the quest to escape Reet, everyone yearns for freedom. Ricardo, however, carries a hint of cynicism. He finds pleasure in the disorder and may seem reluctant to lend a hand. Nevertheless, the encounters with diverse characters along his odyssey will ignite a transformation within him, although not without challenges. Gradually, he will come to realize the profound truth: "Helping others is away is a way of helping ourselves." HQ Video: #GenerativeAI #ArtistOnTwitter #aiartcommunity #AIArtistCommunity #video2video

Sway Molina

49,677 次观看 • 3 年前

Six open-source LLMs. One sliding puzzle. A brutal test of long-horizon reasoning and tool calling. Five of them broke. One didn't. I gave each model a move_tile tool and a scrambled 3×3 board, then asked it to solve the puzzle through pure turn-by-turn reasoning. The deeper the scramble, the more brutal the search. Five runs per depth, best run kept. A model fails the round if it exceeds 6x the optimal move count. > Depth 5: Everyone solves it. Yawn. > Depth 10: GLM 5.1 melts down. 43 moves. Cut. > Depth 12: Gemma4 26B loses the plot, shuffling tiles in circles. Gone. > Depth 15: The wall. DeepSeek V4 Flash, out. DeepSeek V4 Pro, out. Gemma4, out again. GLM 5.1, out. Two survivors: Qwen3.6 35B-A3B, and Kimi K2.6 with an 11-move solve that looked like cheating. > Depth 18: Same two. Everyone else hallucinating tiles that weren't there. > Depth 22: Final boss. Kimi, flawless for five rounds, finally cracks. 81 moves. Still scrambled. DeepSeek V4 Pro limps home at 90. Qwen3.6 35B-A3B solves it in 36. The smallest model in the room. ~3B active params. Fits on a single 3090. It beat everything. Kimi was elegant. Qwen3.6 was unstoppable.
2:00

Six open-source LLMs. One sliding puzzle. A brutal test of long-horizon reasoning and tool calling. Five of them broke. One didn't. I gave each model a move_tile tool and a scrambled 3×3 board, then asked it to solve the puzzle through pure turn-by-turn reasoning. The deeper the scramble, the more brutal the search. Five runs per depth, best run kept. A model fails the round if it exceeds 6x the optimal move count. > Depth 5: Everyone solves it. Yawn. > Depth 10: GLM 5.1 melts down. 43 moves. Cut. > Depth 12: Gemma4 26B loses the plot, shuffling tiles in circles. Gone. > Depth 15: The wall. DeepSeek V4 Flash, out. DeepSeek V4 Pro, out. Gemma4, out again. GLM 5.1, out. Two survivors: Qwen3.6 35B-A3B, and Kimi K2.6 with an 11-move solve that looked like cheating. > Depth 18: Same two. Everyone else hallucinating tiles that weren't there. > Depth 22: Final boss. Kimi, flawless for five rounds, finally cracks. 81 moves. Still scrambled. DeepSeek V4 Pro limps home at 90. Qwen3.6 35B-A3B solves it in 36. The smallest model in the room. ~3B active params. Fits on a single 3090. It beat everything. Kimi was elegant. Qwen3.6 was unstoppable.

stevibe

16,434 次观看 • 3 个月前

My mom called me crying, she thought I was gambling away my savings on Polymarket. I sent her one screenshot. She went quiet for 40 seconds. $41,200. From $200. In 27 days. "...is that real?" Not luck. Not sports betting. Google told me the answers before the market heard them. Every time a topic spikes on Google Trends - Fed decision, Trump indictment, government shutdown - Polymarket prices lag 4 to 12 hours. Millions searching. Market hasn't moved. That delay is the entire edge. One Claude agent. One job: watch Google Trends for spikes above 300% tied to open Polymarket markets. Spike hits, market hasn't moved - buy. Profile Claude agent: Day 1: "government shutdown" spiked 840% at 2AM. Polymarket still at 23¢. Agent bought. By noon - 47¢. $200 → $610 Day 4: "rate cut" exploded 6 hours before the Fed announcement. 3 markets under 15¢. All resolved above 60¢. $610 → $2,400 I use for copytrade bots Gluon: Day 9: CEO resignation leaked on Reddit. Google Trends spiked at 11PM. Agent was in at 11:02PM. By morning - 5x. $2,400 → $7,800 Day 14: Pattern - every time "inflation data" spikes 500%+ on a Tuesday night, CPI markets are mispriced by 12-18¢. Three Tuesdays in a row. Agent caught all three. $7,800 → $16,500 Day 21: "ceasefire" spiked in 4 languages simultaneously. Conflict markets at 11¢. Agent loaded 8 positions. $16,500 → $29,400 Day 27: Three spikes between midnight and 4AM - when American traders sleep but the world doesn't. 19 trades. 16 green. $29,400 → $41,200 Only buys below 20¢. Sells above model price. Max $3 per position. 4 billion people google the answer. The market just hasn't heard it yet. 2,700+ trades. 84% win rate. $200 → $41,200. My mom still doesn't fully get what I do. But she stopped crying. The agent made $380 while she was reading the screenshot.
0:32

My mom called me crying, she thought I was gambling away my savings on Polymarket. I sent her one screenshot. She went quiet for 40 seconds. $41,200. From $200. In 27 days. "...is that real?" Not luck. Not sports betting. Google told me the answers before the market heard them. Every time a topic spikes on Google Trends - Fed decision, Trump indictment, government shutdown - Polymarket prices lag 4 to 12 hours. Millions searching. Market hasn't moved. That delay is the entire edge. One Claude agent. One job: watch Google Trends for spikes above 300% tied to open Polymarket markets. Spike hits, market hasn't moved - buy. Profile Claude agent: Day 1: "government shutdown" spiked 840% at 2AM. Polymarket still at 23¢. Agent bought. By noon - 47¢. $200 → $610 Day 4: "rate cut" exploded 6 hours before the Fed announcement. 3 markets under 15¢. All resolved above 60¢. $610 → $2,400 I use for copytrade bots Gluon: Day 9: CEO resignation leaked on Reddit. Google Trends spiked at 11PM. Agent was in at 11:02PM. By morning - 5x. $2,400 → $7,800 Day 14: Pattern - every time "inflation data" spikes 500%+ on a Tuesday night, CPI markets are mispriced by 12-18¢. Three Tuesdays in a row. Agent caught all three. $7,800 → $16,500 Day 21: "ceasefire" spiked in 4 languages simultaneously. Conflict markets at 11¢. Agent loaded 8 positions. $16,500 → $29,400 Day 27: Three spikes between midnight and 4AM - when American traders sleep but the world doesn't. 19 trades. 16 green. $29,400 → $41,200 Only buys below 20¢. Sells above model price. Max $3 per position. 4 billion people google the answer. The market just hasn't heard it yet. 2,700+ trades. 84% win rate. $200 → $41,200. My mom still doesn't fully get what I do. But she stopped crying. The agent made $380 while she was reading the screenshot.

Lunar

12,459 次观看 • 5 个月前

🚨A 25 YEAR OLD BUILT THE FASTEST GROWING SOFTWARE COMPANY IN HISTORY.. WITH ZERO MARKETING SPEND.. AND SPACEX JUST OFFERED $60 BILLION TO BUY IT.. His name is Michael Truell.. He started coding at 11.. Interned at Google at 18.. Dropped out of MIT to start a company that built AI tools for mechanical engineering.. That company failed.. So he pivoted.. And built Cursor.. An AI-powered code editor that writes software for you.. Here's how fast it grew.. $100 million in annual revenue in 12 months.. Fastest in SaaS history.. Broke every record ever set by Slack, Zoom, and Wiz.. $500 million by month 21.. $1 billion by November 2025.. $2 billion by February 2026.. Projected to hit $6 billion by end of year.. Zero marketing spend.. Not a single dollar.. Pure word of mouth from developers who couldn't stop talking about it.. Over 1 billion lines of code accepted per day.. Used by 70% of Fortune 1000 companies.. Every single one of Nvidia's 40,000 engineers uses it.. Coinbase hit 100% adoption among their developers.. And he did this with a team of four MIT co-founders.. One of them was a three-time International Math Olympiad competitor from Pakistan.. Another was a college squash captain with zero startup experience who built the entire product strategy.. They spent zero on sales.. Zero on ads.. Zero on growth hacking.. The product sold itself.. But here's where the story takes a turn nobody expected.. Even at $50 billion valuation.. Even generating billions in revenue.. They hit a wall.. Not a market wall.. A physics wall.. They couldn't get enough GPUs to train their next AI model.. The physical chips didn't exist in sufficient quantities for them to buy.. Money couldn't solve the problem.. Enter Elon Musk.. On April 21.. SpaceX announced a deal to potentially acquire Cursor for $60 billion.. The largest acquisition option in tech history.. The structure is insane.. SpaceX gives Cursor immediate access to Colossus.. xAI's supercomputer equivalent to one million Nvidia H100 GPUs.. For nine months of joint development.. At the end.. SpaceX can buy the company for $60 billion.. If they don't buy it.. They owe Cursor a $10 billion breakup fee.. The largest breakup fee in corporate history.. Think about what that means for Cursor.. Either they get acquired for $60 billion.. Or they walk away with $10 billion in cash and nine months of free training on the most powerful supercomputer on earth.. There is no losing scenario.. And here's why Musk wants it.. SpaceX is preparing for an IPO at $1.75 trillion.. The biggest IPO ever.. But aerospace alone can't justify that number.. By merging xAI into SpaceX.. And now acquiring Cursor.. Musk transforms SpaceX from a rocket company into an AI empire that owns the compute, the models, and the developer tools.. Cursor is the missing piece.. The application layer that puts xAI's models into the daily workflow of every Fortune 500 engineering team.. Oh and one more thing.. In 2022.. FTX's trading firm Alameda Research made a seed investment in Cursor.. During the FTX bankruptcy.. Liquidators sold that stake for $200,000.. That stake is now worth approximately $3 billion.. Sam Bankman-Fried called it the worst liquidation decision in venture capital history.. From a prison cell.. A failed mechanical engineering startup.. Pivoted by four kids from MIT.. Zero marketing.. Zero sales team.. Built the fastest growing software company in history.. And now SpaceX is writing a $60 billion check for it.. This is the most insane founder story in Silicon Valley history.. And most people haven't even heard of Michael Truell.
27:39

🚨A 25 YEAR OLD BUILT THE FASTEST GROWING SOFTWARE COMPANY IN HISTORY.. WITH ZERO MARKETING SPEND.. AND SPACEX JUST OFFERED $60 BILLION TO BUY IT.. His name is Michael Truell.. He started coding at 11.. Interned at Google at 18.. Dropped out of MIT to start a company that built AI tools for mechanical engineering.. That company failed.. So he pivoted.. And built Cursor.. An AI-powered code editor that writes software for you.. Here's how fast it grew.. $100 million in annual revenue in 12 months.. Fastest in SaaS history.. Broke every record ever set by Slack, Zoom, and Wiz.. $500 million by month 21.. $1 billion by November 2025.. $2 billion by February 2026.. Projected to hit $6 billion by end of year.. Zero marketing spend.. Not a single dollar.. Pure word of mouth from developers who couldn't stop talking about it.. Over 1 billion lines of code accepted per day.. Used by 70% of Fortune 1000 companies.. Every single one of Nvidia's 40,000 engineers uses it.. Coinbase hit 100% adoption among their developers.. And he did this with a team of four MIT co-founders.. One of them was a three-time International Math Olympiad competitor from Pakistan.. Another was a college squash captain with zero startup experience who built the entire product strategy.. They spent zero on sales.. Zero on ads.. Zero on growth hacking.. The product sold itself.. But here's where the story takes a turn nobody expected.. Even at $50 billion valuation.. Even generating billions in revenue.. They hit a wall.. Not a market wall.. A physics wall.. They couldn't get enough GPUs to train their next AI model.. The physical chips didn't exist in sufficient quantities for them to buy.. Money couldn't solve the problem.. Enter Elon Musk.. On April 21.. SpaceX announced a deal to potentially acquire Cursor for $60 billion.. The largest acquisition option in tech history.. The structure is insane.. SpaceX gives Cursor immediate access to Colossus.. xAI's supercomputer equivalent to one million Nvidia H100 GPUs.. For nine months of joint development.. At the end.. SpaceX can buy the company for $60 billion.. If they don't buy it.. They owe Cursor a $10 billion breakup fee.. The largest breakup fee in corporate history.. Think about what that means for Cursor.. Either they get acquired for $60 billion.. Or they walk away with $10 billion in cash and nine months of free training on the most powerful supercomputer on earth.. There is no losing scenario.. And here's why Musk wants it.. SpaceX is preparing for an IPO at $1.75 trillion.. The biggest IPO ever.. But aerospace alone can't justify that number.. By merging xAI into SpaceX.. And now acquiring Cursor.. Musk transforms SpaceX from a rocket company into an AI empire that owns the compute, the models, and the developer tools.. Cursor is the missing piece.. The application layer that puts xAI's models into the daily workflow of every Fortune 500 engineering team.. Oh and one more thing.. In 2022.. FTX's trading firm Alameda Research made a seed investment in Cursor.. During the FTX bankruptcy.. Liquidators sold that stake for $200,000.. That stake is now worth approximately $3 billion.. Sam Bankman-Fried called it the worst liquidation decision in venture capital history.. From a prison cell.. A failed mechanical engineering startup.. Pivoted by four kids from MIT.. Zero marketing.. Zero sales team.. Built the fastest growing software company in history.. And now SpaceX is writing a $60 billion check for it.. This is the most insane founder story in Silicon Valley history.. And most people haven't even heard of Michael Truell.

Evan Luthra

989,346 次观看 • 3 个月前

🚨DEVASTATING NEW REVELATIONS: Police Took A FULL EIGHT MINUTES To Realise Henry Nowak Was Stabbed To Death - While He Lay Handcuffed, Dragged, And Bleeding Out Right In Front Of Them! 😡 18-year-old Southampton University student Henry Nowak was brutally stabbed FIVE times with a 21cm blade on 3 December 2025 by Vickrum Digwa (23). Digwa and his brother immediately lied to police, screaming that Henry had racially attacked them. A dying Henry pleaded with officers NINE TIMES that he couldn’t breathe and FOUR TIMES that he had been stabbed. One officer’s cold reply? “I don’t think you have, mate.” Instead of saving him, officers dragged the dying teen along the floor, slapped handcuffs on him behind his back, and read him his rights as blood poured from his wounds. Those were some of the last words Henry ever heard. NEW bodycam audio exposes the horrifying delay: MALE OFFICER: I’m not sure he’s breathing. FEMALE OFFICER: (Checks neck) MALE: He’s not breathing. FEMALE: Right, let’s get the handcuffs off. FEMALE: (On radio) From 4-8 we don’t think he’s breathing… Got no pulse. Handcuffs off. CPR begins. Minutes drag on with Henry dying in front of them: FEMALE OFFICER: Can you put a torch… I just wanna make sure that he hasn’t been stabbed. Clothing ripped open - EIGHT FULL MINUTES after police arrived. MALE OFFICER: Has he been stabbed there? FEMALE: Yeah, he’s got a stab… there’s a mark there. MALE: That makes it worse. I’m pushing on a f*cking stab wound. MALE OFFICER (whispers): He’s f*cking gone. He’s got blood coming out his nose. They were doing f*cking chest compressions directly on a fatal stab wound for minutes without even checking! Unbelievable! Paramedics arrived too late. Henry was pronounced dead at the scene at 00:37. This wasn’t a simple mistake. This was a dying White British boy, begging for help, being dismissed and treated as the criminal the moment the attacker cried “racism”. They prioritised the false narrative over the evidence right in front of them: a teenager bleeding out. This is institutional failure at its most evil, where ideology apparently overrides basic humanity and police duty. British policing is broken when “racism” accusations from the perpetrator trump a victim fighting for his life. Every officer involved should be shamed, fired, investigated, and prosecuted. The IOPC must expose how this happened.
1:07

🚨DEVASTATING NEW REVELATIONS: Police Took A FULL EIGHT MINUTES To Realise Henry Nowak Was Stabbed To Death - While He Lay Handcuffed, Dragged, And Bleeding Out Right In Front Of Them! 😡 18-year-old Southampton University student Henry Nowak was brutally stabbed FIVE times with a 21cm blade on 3 December 2025 by Vickrum Digwa (23). Digwa and his brother immediately lied to police, screaming that Henry had racially attacked them. A dying Henry pleaded with officers NINE TIMES that he couldn’t breathe and FOUR TIMES that he had been stabbed. One officer’s cold reply? “I don’t think you have, mate.” Instead of saving him, officers dragged the dying teen along the floor, slapped handcuffs on him behind his back, and read him his rights as blood poured from his wounds. Those were some of the last words Henry ever heard. NEW bodycam audio exposes the horrifying delay: MALE OFFICER: I’m not sure he’s breathing. FEMALE OFFICER: (Checks neck) MALE: He’s not breathing. FEMALE: Right, let’s get the handcuffs off. FEMALE: (On radio) From 4-8 we don’t think he’s breathing… Got no pulse. Handcuffs off. CPR begins. Minutes drag on with Henry dying in front of them: FEMALE OFFICER: Can you put a torch… I just wanna make sure that he hasn’t been stabbed. Clothing ripped open - EIGHT FULL MINUTES after police arrived. MALE OFFICER: Has he been stabbed there? FEMALE: Yeah, he’s got a stab… there’s a mark there. MALE: That makes it worse. I’m pushing on a f*cking stab wound. MALE OFFICER (whispers): He’s f*cking gone. He’s got blood coming out his nose. They were doing f*cking chest compressions directly on a fatal stab wound for minutes without even checking! Unbelievable! Paramedics arrived too late. Henry was pronounced dead at the scene at 00:37. This wasn’t a simple mistake. This was a dying White British boy, begging for help, being dismissed and treated as the criminal the moment the attacker cried “racism”. They prioritised the false narrative over the evidence right in front of them: a teenager bleeding out. This is institutional failure at its most evil, where ideology apparently overrides basic humanity and police duty. British policing is broken when “racism” accusations from the perpetrator trump a victim fighting for his life. Every officer involved should be shamed, fired, investigated, and prosecuted. The IOPC must expose how this happened.

J Stewart

12,582 次观看 • 1 个月前

Anthropic just accidentally leaked the most dangerous AI model ever built. They literally left 3,000 internal documents sitting in a publicly searchable database. No encryption. No access controls. Just... open. A security researcher found them before Anthropic even knew they were exposed. Inside those documents was a draft blog post describing a model called "Claude Mythos." Anthropic's own internal language: Mythos is "currently far ahead of any other AI model in cyber capabilities" and will trigger "a wave of models that can exploit vulnerabilities in ways that far outpace the efforts of defenders." That's the company that BUILT it warning about their own creation. Mythos sits in a brand new model tier called "Capybara." Bigger and more powerful than anything they've ever released. Dramatically higher scores in coding, reasoning, and cybersecurity compared to their current best. The market reaction was immediate: CrowdStrike dropped 7%. Palo Alto Networks fell 6%. Zscaler down 5%. Okta, SentinelOne, Fortinet all crashed. The Global X Cybersecurity ETF hit its lowest level since November 2023. Billions in market cap evaporated in a single trading session because of a draft blog post that wasn't supposed to be public yet. But here's where it gets truly absurd... Anthropic is the company that brands itself as the "responsible AI" lab. The one that refused to let the Pentagon use Claude without restrictions. The one that got BLACKLISTED by the Trump administration for being too cautious. They literally sued the government over it. A federal judge called the Pentagon's ban "Orwellian." So the US government punished Anthropic for being too careful with AI safety. Then 3 weeks later, Anthropic accidentally exposes their most dangerous model because someone misconfigured a content management system. They can't secure a WordPress-level database setting. But they're building AI that can autonomously hunt and exploit zero-day vulnerabilities at machine speed. Also in those leaked files: Details about a private, invite-only CEO retreat at an 18th-century English countryside manor. Dario Amodei attending personally. Designed to sell Mythos to Europe's biggest corporate buyers. The playbook: Build the most dangerous cyber weapon in AI history, host billionaires at a castle to sell it, and store the whole plan in an unprotected public folder. The entire cybersecurity industry is built on cataloging known threats. Mythos finds unknown ones faster than humans can respond. That's an extinction event for an entire sector. But there was also just ANOTHER leak: A leaked Coatue investor deck revealed Anthropic will LOSE $14 billion this year on $18 billion in revenue. Coatue still projected them to be worth $2 TRILLION by 2030. They put $30 billion behind that bet. Polymarket opened live betting on when Mythos drops. Traders give it a 45% chance by June 30th. OpenAI finished pretraining their own frontier model codenamed "Spud" the same week. Both companies are now racing to release before their IPOs later this year. And the one detail that's really scary: Chinese state hackers already used Claude Code, the WEAKER model before Mythos, to autonomously infiltrate 30 organizations including banks and government agencies. That was the less powerful model. Mythos is dramatically more capable. Anthropic's response to leaking 3,000 confidential documents? "Human error in the configuration of our content management system." The company warning the world about AI risk just demonstrated exactly why everyone should be worried. Not because of what AI might do someday. Because the people building it can't even keep their own files locked.
1:12

Anthropic just accidentally leaked the most dangerous AI model ever built. They literally left 3,000 internal documents sitting in a publicly searchable database. No encryption. No access controls. Just... open. A security researcher found them before Anthropic even knew they were exposed. Inside those documents was a draft blog post describing a model called "Claude Mythos." Anthropic's own internal language: Mythos is "currently far ahead of any other AI model in cyber capabilities" and will trigger "a wave of models that can exploit vulnerabilities in ways that far outpace the efforts of defenders." That's the company that BUILT it warning about their own creation. Mythos sits in a brand new model tier called "Capybara." Bigger and more powerful than anything they've ever released. Dramatically higher scores in coding, reasoning, and cybersecurity compared to their current best. The market reaction was immediate: CrowdStrike dropped 7%. Palo Alto Networks fell 6%. Zscaler down 5%. Okta, SentinelOne, Fortinet all crashed. The Global X Cybersecurity ETF hit its lowest level since November 2023. Billions in market cap evaporated in a single trading session because of a draft blog post that wasn't supposed to be public yet. But here's where it gets truly absurd... Anthropic is the company that brands itself as the "responsible AI" lab. The one that refused to let the Pentagon use Claude without restrictions. The one that got BLACKLISTED by the Trump administration for being too cautious. They literally sued the government over it. A federal judge called the Pentagon's ban "Orwellian." So the US government punished Anthropic for being too careful with AI safety. Then 3 weeks later, Anthropic accidentally exposes their most dangerous model because someone misconfigured a content management system. They can't secure a WordPress-level database setting. But they're building AI that can autonomously hunt and exploit zero-day vulnerabilities at machine speed. Also in those leaked files: Details about a private, invite-only CEO retreat at an 18th-century English countryside manor. Dario Amodei attending personally. Designed to sell Mythos to Europe's biggest corporate buyers. The playbook: Build the most dangerous cyber weapon in AI history, host billionaires at a castle to sell it, and store the whole plan in an unprotected public folder. The entire cybersecurity industry is built on cataloging known threats. Mythos finds unknown ones faster than humans can respond. That's an extinction event for an entire sector. But there was also just ANOTHER leak: A leaked Coatue investor deck revealed Anthropic will LOSE $14 billion this year on $18 billion in revenue. Coatue still projected them to be worth $2 TRILLION by 2030. They put $30 billion behind that bet. Polymarket opened live betting on when Mythos drops. Traders give it a 45% chance by June 30th. OpenAI finished pretraining their own frontier model codenamed "Spud" the same week. Both companies are now racing to release before their IPOs later this year. And the one detail that's really scary: Chinese state hackers already used Claude Code, the WEAKER model before Mythos, to autonomously infiltrate 30 organizations including banks and government agencies. That was the less powerful model. Mythos is dramatically more capable. Anthropic's response to leaking 3,000 confidential documents? "Human error in the configuration of our content management system." The company warning the world about AI risk just demonstrated exactly why everyone should be worried. Not because of what AI might do someday. Because the people building it can't even keep their own files locked.

Ricardo

52,941 次观看 • 4 个月前

NEW: AssemblyAI Handles 4X More Voice Data Per Day Than YouTube "Our TAM has just increased by 100X" CEO Dylan Fox (Dylan Fox) One of the fastest growing categories in AI, voice powers note-taking, healthcare, coding agents, call centers, AI companions, drive-thru ordering, consumer electronics & humanoid robots. AssemblyAI is the infrastructure underneath it. Powering billion-dollar companies like Granola & Commure, + Tolans & Ciro AI. Stats: › 120M+ voice conversations a week at peak › 2M+ hours of voice a day, 4X YouTube's daily volume › Weekly conversations up 800% in 3 years › 1M+ developers, 40% signed up last year › ~100M API calls a day › ~80 employees AssemblyAI was 1 of 6 companies in YC's first AI batch in 2017, run by Daniel Gross. Backed by Accel, Insight Partners, YC, Smith Point Capital, Nat Friedman, Daniel Gross, Patrick & John Collison We cover: › The McDonald's drive-thru has no idea it's McDonald's › Why 75% of a voice model is the data you train it on › Why humanoid robots can't tell who's talking to them › Whether voice agents should have disclosures 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Dylan Fox, Founder & CEO at Assembly AI (01:06) AssemblyAI's voice traffic beat YouTube by 4x (03:33) $100K in GPU credits that started it all (06:39) Why Voice AI is inflecting right now (10:11) AssemblyAI's infrastructure-first strategy (12:41) Handling 120 million weekly calls (14:49) How AI agents are rewriting Internal Ops at AssemblyAI (17:05) The Sovereign AI problem nobody's solved for voice (18:26) Is the Keyboard and Mouse finally dying? (22:33) The problem Humanoid Robotics hasn't solved yet (25:14) The real problem behind translating languages (29:27) Can AI actually talk to animals? (31:24) The real reason Open-Source benchmarks lie to you (34:20) Building websites in chat rooms as a kid (36:48) On-Device AI models are about to change everything (43:03) The people who shaped Dylan's career
46:28

NEW: AssemblyAI Handles 4X More Voice Data Per Day Than YouTube "Our TAM has just increased by 100X" CEO Dylan Fox (Dylan Fox) One of the fastest growing categories in AI, voice powers note-taking, healthcare, coding agents, call centers, AI companions, drive-thru ordering, consumer electronics & humanoid robots. AssemblyAI is the infrastructure underneath it. Powering billion-dollar companies like Granola & Commure, + Tolans & Ciro AI. Stats: › 120M+ voice conversations a week at peak › 2M+ hours of voice a day, 4X YouTube's daily volume › Weekly conversations up 800% in 3 years › 1M+ developers, 40% signed up last year › ~100M API calls a day › ~80 employees AssemblyAI was 1 of 6 companies in YC's first AI batch in 2017, run by Daniel Gross. Backed by Accel, Insight Partners, YC, Smith Point Capital, Nat Friedman, Daniel Gross, Patrick & John Collison We cover: › The McDonald's drive-thru has no idea it's McDonald's › Why 75% of a voice model is the data you train it on › Why humanoid robots can't tell who's talking to them › Whether voice agents should have disclosures 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Dylan Fox, Founder & CEO at Assembly AI (01:06) AssemblyAI's voice traffic beat YouTube by 4x (03:33) $100K in GPU credits that started it all (06:39) Why Voice AI is inflecting right now (10:11) AssemblyAI's infrastructure-first strategy (12:41) Handling 120 million weekly calls (14:49) How AI agents are rewriting Internal Ops at AssemblyAI (17:05) The Sovereign AI problem nobody's solved for voice (18:26) Is the Keyboard and Mouse finally dying? (22:33) The problem Humanoid Robotics hasn't solved yet (25:14) The real problem behind translating languages (29:27) Can AI actually talk to animals? (31:24) The real reason Open-Source benchmarks lie to you (34:20) Building websites in chat rooms as a kid (36:48) On-Device AI models are about to change everything (43:03) The people who shaped Dylan's career

Molly O’Shea

326,534 次观看 • 19 天前

🔥🙋🏼‍♀️HELLO! Look here…BUT only if you want to see the truth about what happened to Charlie Kirk. I’m guessing your first thought is 🐂 💩 I get it 👉🏻 Stay with me. Instead I invite you to ask the following questions:- ❓What ❓Where ❓When ❓How These words are full + complete questions, that I answer in this video, about the nexus of Charlie Kirk being hit. I don’t like adding the drama. I simply cannot emphasise enough how important it is to watch this with an open mind as to the tech involved that day. 👉🏻WHAT 🛰️ A loitering miniature UAV/Drone. 👉🏻WHERE ⬅️ Directly in front & to the left of Charlie 👉🏻WHEN ⏰ Just as Charlie begins to lower his mic BEFORE the gun sound/movement 👉🏻HOW🧐 A LMAMS (loitoring autonomous UAV/Drone) was weaponised to move covertly amongst a swarm of tiny insect/bug type drones. The tiny drones were used for geo mapping the space, nano drones to leave digital pheromones to guide the UAV tasked with the mission of hitting a target. This 🛰️drone is preprogrammed with a mission - weaponising a device such as this requires specific dual instruction activation, with 👤‘human in loop’ component. 👤HIL - a physical human has to give the final ‘OK’ to execute the action. It cannot be AI or human interface. In this situation: 🗣️ The ’STAY DOWN/THERE’ shout we hear is the first part of the sequence. 🗣️👂🏻 THIS CAN ONLY BE HEARD IN ONLY ONE CORRIDOR OF SOUND - from the speaker 🔊 that has the feedback next to Hunter. I believe the volume of the sound was set intentionally low so that the command would only be registered by the drone when it stops in front of the tent. However, the crowd complains & the speakers have to be turned up. 💣 🐚 👇🏻👇🏻👇🏻👇🏻 The attack was supposed to take place when Henry Dells was speaking. The turning up of the speakers interfered with the function of the drones & the mission had to be reset. Numerous events take place during this time that show the panic, the stress & the behaviours are not normal for an event. I’ll post about these again up next. What do you think? Laissez Faire Lounge Ecological Criminal Report EddieSpaghetti 🤨 Matthew Bowden Matthew St Baker Charo James Li 🇺🇸Lionel🇺🇸 Stew Peters US_did_ 911 LouisianaGirl (Tara) Micalv JP Sears Hodgetwins Jon Bray Hadyn Wood Heavy Duty Country Zach Costello Zeb Boykin Sam Parker 🇺🇸🧯 Project Constitution
8:08

🔥🙋🏼‍♀️HELLO! Look here…BUT only if you want to see the truth about what happened to Charlie Kirk. I’m guessing your first thought is 🐂 💩 I get it 👉🏻 Stay with me. Instead I invite you to ask the following questions:- ❓What ❓Where ❓When ❓How These words are full + complete questions, that I answer in this video, about the nexus of Charlie Kirk being hit. I don’t like adding the drama. I simply cannot emphasise enough how important it is to watch this with an open mind as to the tech involved that day. 👉🏻WHAT 🛰️ A loitering miniature UAV/Drone. 👉🏻WHERE ⬅️ Directly in front & to the left of Charlie 👉🏻WHEN ⏰ Just as Charlie begins to lower his mic BEFORE the gun sound/movement 👉🏻HOW🧐 A LMAMS (loitoring autonomous UAV/Drone) was weaponised to move covertly amongst a swarm of tiny insect/bug type drones. The tiny drones were used for geo mapping the space, nano drones to leave digital pheromones to guide the UAV tasked with the mission of hitting a target. This 🛰️drone is preprogrammed with a mission - weaponising a device such as this requires specific dual instruction activation, with 👤‘human in loop’ component. 👤HIL - a physical human has to give the final ‘OK’ to execute the action. It cannot be AI or human interface. In this situation: 🗣️ The ’STAY DOWN/THERE’ shout we hear is the first part of the sequence. 🗣️👂🏻 THIS CAN ONLY BE HEARD IN ONLY ONE CORRIDOR OF SOUND - from the speaker 🔊 that has the feedback next to Hunter. I believe the volume of the sound was set intentionally low so that the command would only be registered by the drone when it stops in front of the tent. However, the crowd complains & the speakers have to be turned up. 💣 🐚 👇🏻👇🏻👇🏻👇🏻 The attack was supposed to take place when Henry Dells was speaking. The turning up of the speakers interfered with the function of the drones & the mission had to be reset. Numerous events take place during this time that show the panic, the stress & the behaviours are not normal for an event. I’ll post about these again up next. What do you think? Laissez Faire Lounge Ecological Criminal Report EddieSpaghetti 🤨 Matthew Bowden Matthew St Baker Charo James Li 🇺🇸Lionel🇺🇸 Stew Peters US_did_ 911 LouisianaGirl (Tara) Micalv JP Sears Hodgetwins Jon Bray Hadyn Wood Heavy Duty Country Zach Costello Zeb Boykin Sam Parker 🇺🇸🧯 Project Constitution

Indiëpendent News Show

11,481 次观看 • 3 个月前

Mass Shooting and Homicide Downtown Chicago Hubbard and LaSalle ... 1 dead, 3 injured in Chicago shooting after Gunmen open fire on $320K Lambo SUV ... No One In Custody ... Homicide, Person Shot ... 400 block of N. Lasalle on December 28, 2025, at approx. a.m. 34-year-old man was killed and three others were injured after being gunned down in Chicago early Sunday morning during an attack on a $320,000 Lamborghini SUV firsty shots fired call am 631 N LaSalle going towards McDonalds "This was a brazen and violent act that took one life and left three others fighting for their lives," said Paul Rutherford, Executive Director of Cook County Crime Stoppers. "Someone knows who is responsible. Your information, no matter how small it may seem, could be the key to bringing justice to the victims and their families." Anyone with information is asked to call 1-800-535-7867 or visit Police responded to a call of multiple persons shot and discovered that four victims had been struck by gunfire. The victims were entering a vehicle when four unidentified male offenders, on foot, approached, produced firearms, and opened fire. The offenders entered an unknown vehicle and fled the scene. No one is in custody at this time. Area Three Detectives are investigating. The injuries are as follows: Victim #1: A 34-year-old male sustained multiple gunshot wounds to the body and was transported to Northwestern Hospital where he was pronounced. Victim #2: A 36-year-old male sustained a gunshot wound to the chest and was transported to Northwestern Hospital where he is listed in critical condition. Victim #3: A 43-year-old male sustained a gunshot wound to the back and was transported to Northwestern Hospital where he is listed in critical condition Victim #4: A 35-year-old male sustained multiple gunshot wounds to the body and was transported to Northwestern Hospital where he is listed in critical condition (18th District) The suspects got into a car and fled the scene. Nobody is in custody. Posted: December 28, 2025 AM CST Updated: December 28, 2025 AM CST Chicago Police Department Media Major Incident Notifications Four People Injured in Fatal Shooting 400 N La Salle Dr Citizen AM CST Three other men are receiving treatment at the same hospital for various gunshot wounds to the chest, back, and body, per local news. AM CST The shots hit four people. A 34-year-old man died at Northwestern Hospital after the suspects shot him multiple times. AM CST Four male suspects approached a group of people getting into a green SUV and opened fire. The suspects then fled the scene in a car and remain at large. Police have not issued suspect descriptions. AM CST Chicago police are investigating a deadly shooting that happened around a.m. today on the 400 block of North LaSalle Drive. AM CST The address reported for this incident has changed to 400 N La Salle Dr. AM CST A Citizen user shows video of police in the area. AM CST Incident reported at 415 N La Salle Dr #300 First Shots fired reported 631 N LaSalle AM CPD Citywide 1 - City-wide units AM 12/28/2025 460.125 MHz CPD Zone 4 - Districts 1 and 18 (delayed 30-35 min) AM 12/28/2025 460.15 MHz On the Spot Reporting #ChicagoScanner #CrimeNews #MassShooting
4:35

Mass Shooting and Homicide Downtown Chicago Hubbard and LaSalle ... 1 dead, 3 injured in Chicago shooting after Gunmen open fire on $320K Lambo SUV ... No One In Custody ... Homicide, Person Shot ... 400 block of N. Lasalle on December 28, 2025, at approx. a.m. 34-year-old man was killed and three others were injured after being gunned down in Chicago early Sunday morning during an attack on a $320,000 Lamborghini SUV firsty shots fired call am 631 N LaSalle going towards McDonalds "This was a brazen and violent act that took one life and left three others fighting for their lives," said Paul Rutherford, Executive Director of Cook County Crime Stoppers. "Someone knows who is responsible. Your information, no matter how small it may seem, could be the key to bringing justice to the victims and their families." Anyone with information is asked to call 1-800-535-7867 or visit Police responded to a call of multiple persons shot and discovered that four victims had been struck by gunfire. The victims were entering a vehicle when four unidentified male offenders, on foot, approached, produced firearms, and opened fire. The offenders entered an unknown vehicle and fled the scene. No one is in custody at this time. Area Three Detectives are investigating. The injuries are as follows: Victim #1: A 34-year-old male sustained multiple gunshot wounds to the body and was transported to Northwestern Hospital where he was pronounced. Victim #2: A 36-year-old male sustained a gunshot wound to the chest and was transported to Northwestern Hospital where he is listed in critical condition. Victim #3: A 43-year-old male sustained a gunshot wound to the back and was transported to Northwestern Hospital where he is listed in critical condition Victim #4: A 35-year-old male sustained multiple gunshot wounds to the body and was transported to Northwestern Hospital where he is listed in critical condition (18th District) The suspects got into a car and fled the scene. Nobody is in custody. Posted: December 28, 2025 AM CST Updated: December 28, 2025 AM CST Chicago Police Department Media Major Incident Notifications Four People Injured in Fatal Shooting 400 N La Salle Dr Citizen AM CST Three other men are receiving treatment at the same hospital for various gunshot wounds to the chest, back, and body, per local news. AM CST The shots hit four people. A 34-year-old man died at Northwestern Hospital after the suspects shot him multiple times. AM CST Four male suspects approached a group of people getting into a green SUV and opened fire. The suspects then fled the scene in a car and remain at large. Police have not issued suspect descriptions. AM CST Chicago police are investigating a deadly shooting that happened around a.m. today on the 400 block of North LaSalle Drive. AM CST The address reported for this incident has changed to 400 N La Salle Dr. AM CST A Citizen user shows video of police in the area. AM CST Incident reported at 415 N La Salle Dr #300 First Shots fired reported 631 N LaSalle AM CPD Citywide 1 - City-wide units AM 12/28/2025 460.125 MHz CPD Zone 4 - Districts 1 and 18 (delayed 30-35 min) AM 12/28/2025 460.15 MHz On the Spot Reporting #ChicagoScanner #CrimeNews #MassShooting

SubX.News®

108,602 次观看 • 7 个月前

Today's interview is among the most chilling I've ever recorded: Tom Davidson on how AI-enabled coups could allow a tiny group to seize power His new paper, published today, lays out how AGI will naturally destabilise even mature democracies and encourage power grabs. The paper, plus links and transcript, below: 00:50 How AI enables tiny groups to seize power 12:31 Secret AI loyalties 24:32 Are human power grabs more plausible than 'rogue AI'? 37:31 Will AGI make it impossible to escape autocracy? 41:34 Threat 1: AI-enabled military coups 1:00:48 Threat 2: Autocratisation 1:13:31 Threat 3: Self-built hard power 1:21:23 Can you stage a coup with 10,000 drones? 1:29:22 Are people psychologically willing to do coups? 1:33:31 Will a balance of power between AIs prevent this? 1:49:28 How likely is this in the US? 1:56:58 Is a small group seizing power really so bad? 2:00:33 Countermeasure 1: Block internal misuse 2:10:27 Countermeasure 2: Cybersecurity 2:12:36 Countermeasure 3: Model spec transparency 2:21:55 Countermeasure 4: Sharing AI access broadly 2:26:45 Is it more dangerous to concentrate or share AGI? 2:32:38 In defence of open sourcing AI models 2:53:18 Preventing AI-enabled military coups in particular 3:03:00 How to help if you work at an AI company 3:07:09 The power ML researchers still have, for now 3:10:29 How to help if you're an elected leader Find it in any app by searching for 80,000 Hours Podcast.
3:16:30

Today's interview is among the most chilling I've ever recorded: Tom Davidson on how AI-enabled coups could allow a tiny group to seize power His new paper, published today, lays out how AGI will naturally destabilise even mature democracies and encourage power grabs. The paper, plus links and transcript, below: 00:50 How AI enables tiny groups to seize power 12:31 Secret AI loyalties 24:32 Are human power grabs more plausible than 'rogue AI'? 37:31 Will AGI make it impossible to escape autocracy? 41:34 Threat 1: AI-enabled military coups 1:00:48 Threat 2: Autocratisation 1:13:31 Threat 3: Self-built hard power 1:21:23 Can you stage a coup with 10,000 drones? 1:29:22 Are people psychologically willing to do coups? 1:33:31 Will a balance of power between AIs prevent this? 1:49:28 How likely is this in the US? 1:56:58 Is a small group seizing power really so bad? 2:00:33 Countermeasure 1: Block internal misuse 2:10:27 Countermeasure 2: Cybersecurity 2:12:36 Countermeasure 3: Model spec transparency 2:21:55 Countermeasure 4: Sharing AI access broadly 2:26:45 Is it more dangerous to concentrate or share AGI? 2:32:38 In defence of open sourcing AI models 2:53:18 Preventing AI-enabled military coups in particular 3:03:00 How to help if you work at an AI company 3:07:09 The power ML researchers still have, for now 3:10:29 How to help if you're an elected leader Find it in any app by searching for 80,000 Hours Podcast.

Rob Wiblin

48,386 次观看 • 1 年前

🚨 The Next Evolution of AI Music is Here 🚨 We haven’t been standing still. We’ve been building at an incredible pace, with laser-sharp focus, pushing the boundaries of AI-powered music creation like never before. Our latest upgrade isn’t just more powerful—it’s more versatile, precise, and deeply creative than anything before. 🎶 Proof is in the sound: This song was generated from a simple prompt—“Blues with slight Arabian influence about a man lost in the desert searching for his bride.” Listen to the end and hear how $SUEDE AI captures emotion, style, and storytelling like never before. But this is just the beginning. Our new features are built for artists who want total creative control. Get extremely granular with how you craft and shape your sound: 🎛️ Full Production Control – Download an entire pack of every isolated instrument. 🎤 Use Your Own Voice – Or someone else’s. 📝 Exact Lyrics, Your Way – Have your words set to music seamlessly. 🎶 Reference Songs – Upload one for style analysis, extraction, and modeling—or simply note a publicly available track. 🔊 Text-to-Speech & AI Vocalists – Shape voices like never before. 🎼 Melody Collaboration – Upload a melody idea and let others build around it—or vice versa. However, due to cost considerations, we’ve capped it at 3 free songs per trial until subscription payments roll out in the next day or two. We’ll be launching a new payment gateway soon, so stay tuned for more details. And remember, all of this is powered by the $SUEDE token. It fuels the entire ecosystem, allowing artists to generate, own, and monetize their work like never before. We’re still working out a few kinks—like image generation—but prepare to be impressed. A major post is coming soon, breaking down these game-changing features and the revenue model behind them. Thread dropping soon. Turn notifications on. $SUEDE powers the future of culture. #SuedeAI #Web3Music
3:38

🚨 The Next Evolution of AI Music is Here 🚨 We haven’t been standing still. We’ve been building at an incredible pace, with laser-sharp focus, pushing the boundaries of AI-powered music creation like never before. Our latest upgrade isn’t just more powerful—it’s more versatile, precise, and deeply creative than anything before. 🎶 Proof is in the sound: This song was generated from a simple prompt—“Blues with slight Arabian influence about a man lost in the desert searching for his bride.” Listen to the end and hear how $SUEDE AI captures emotion, style, and storytelling like never before. But this is just the beginning. Our new features are built for artists who want total creative control. Get extremely granular with how you craft and shape your sound: 🎛️ Full Production Control – Download an entire pack of every isolated instrument. 🎤 Use Your Own Voice – Or someone else’s. 📝 Exact Lyrics, Your Way – Have your words set to music seamlessly. 🎶 Reference Songs – Upload one for style analysis, extraction, and modeling—or simply note a publicly available track. 🔊 Text-to-Speech & AI Vocalists – Shape voices like never before. 🎼 Melody Collaboration – Upload a melody idea and let others build around it—or vice versa. However, due to cost considerations, we’ve capped it at 3 free songs per trial until subscription payments roll out in the next day or two. We’ll be launching a new payment gateway soon, so stay tuned for more details. And remember, all of this is powered by the $SUEDE token. It fuels the entire ecosystem, allowing artists to generate, own, and monetize their work like never before. We’re still working out a few kinks—like image generation—but prepare to be impressed. A major post is coming soon, breaking down these game-changing features and the revenue model behind them. Thread dropping soon. Turn notifications on. $SUEDE powers the future of culture. #SuedeAI #Web3Music

Suede Labs

17,424 次观看 • 1 年前

Crypto built the root of trust. AI needs it. At Permissionless Wealth (自由财富) IV’s Open Source AI Summit presented by NEAR Protocol, Sreeram Kannan dropped the most important update in Crypto x AI this year. ☁️ Eigencloud Supercharging Verifiable AI. ☁️ Crypto built the foundation for digital property, programmable money, and trustless execution. But it was never built to run AI. EigenCloud changes that. For the first time, you can deploy unstoppable, verifiable AI agents, not behind an API key, but as sovereign entities that own, earn, and act onchain. 🔥 Smart contracts that think. 🔥 AI that can stake. 🔥 Agents that can own. This is not a demo. It’s a new reality. And it’s the most powerful unlock in crypto since Ethereum. EigenCloud Timestamps:⁣ 0:10 Introduction⁣ 0:32 EigenLayer → EigenCloud 1:53 Autonomous Verifiable Services 3:06 Evolving from Infra to Apps⁣ to AI 5:41 EigenCloud Architecture 9:30 Bringing AI Onchain⁣ with EigenVerify 12:01 Supercharge AI 15:44 Sovereign AI Agents 17:48 Making Autonomous Agents Practical⁣ 18:37 AI Inference, Model, and Agents 19:03 Deep stack of Verifiability 21:15 Call to Builders: Build Powerful Expressive Apps with Agents
21:24

Crypto built the root of trust. AI needs it. At Permissionless Wealth (自由财富) IV’s Open Source AI Summit presented by NEAR Protocol, Sreeram Kannan dropped the most important update in Crypto x AI this year. ☁️ Eigencloud Supercharging Verifiable AI. ☁️ Crypto built the foundation for digital property, programmable money, and trustless execution. But it was never built to run AI. EigenCloud changes that. For the first time, you can deploy unstoppable, verifiable AI agents, not behind an API key, but as sovereign entities that own, earn, and act onchain. 🔥 Smart contracts that think. 🔥 AI that can stake. 🔥 Agents that can own. This is not a demo. It’s a new reality. And it’s the most powerful unlock in crypto since Ethereum. EigenCloud Timestamps:⁣ 0:10 Introduction⁣ 0:32 EigenLayer → EigenCloud 1:53 Autonomous Verifiable Services 3:06 Evolving from Infra to Apps⁣ to AI 5:41 EigenCloud Architecture 9:30 Bringing AI Onchain⁣ with EigenVerify 12:01 Supercharge AI 15:44 Sovereign AI Agents 17:48 Making Autonomous Agents Practical⁣ 18:37 AI Inference, Model, and Agents 19:03 Deep stack of Verifiability 21:15 Call to Builders: Build Powerful Expressive Apps with Agents

EigenCloud

65,722 次观看 • 1 年前

If someone posted a recipe in the open that is guaranteed to bring $100K a day, how many people would be able to cook it and why is the answer almost nobody? That is exactly what happened last week. A full instruction is sitting on a forum with code and links to papers, the result is already proven by one wallet at $1M, and so far nobody has been able to replicate it. Let me break it down. The wallet appeared in February 2026 and over 10 days made 63 trades on Polymarket sports markets. All on NBA. All 63 won, zero lost, total profit $1M+ His profile: The author was buying underdogs at 18-60 cents with large positions of $100K-$150K per entry. And here is what makes this case strange: the author posted the full strategy publicly on Moltbook before the first trade. The post by user u/ASVP_BRYANIII is called "Building Polymarket arb infra: marginal polytope -> Bregman projection -> Frank-Wolfe (need help)" and contains everything needed to reproduce: -> mathematical arbitrage model via integer linear programming -> links to two scientific papers from arXiv -> Python code in the src/polyarb/ repository with tests and documentation -> description of logical dependencies between markets -> specific questions about ILP solver selection and execution risk Literally take it, read it, run it. The mechanics in simplified form: on Polymarket prices are set by users themselves, and sometimes these prices contain errors. The sum of probabilities across related markets does not converge to one. The algorithm scans thousands of markets, finds discrepancies, and bets on combinations of outcomes where profit is mathematically guaranteed regardless of the match result. The author does not predict who wins. He finds pricing errors and takes the difference. Three trades for scale. -> Pacers vs Knicks: entry $149,818 at 18c, exit $831,818, profit $682K at 455% ROI. -> Bucks vs Magic: entry $124,999 at 20c, profit $499,999. -> Clippers vs Rockets: entry $123,431 at 26c, profit $354,678. All positions are underdogs, all at 18-60 cents, all closed in profit. This is not forecasting, this is arithmetic. Now to the main point: if the recipe is in the open, why has nobody replicated it? Because the ingredients of this recipe look like this: -> Bregman projection: a method of projection onto a convex set of admissible probabilities -> ILP oracle: an integer linear program solver for finding optimal bets -> Frank-Wolfe: an iterative optimization algorithm on a polytope -> Marginal polytope: the space of admissible marginal distributions Each term is a semester-long course in a master is program in computational mathematics. This is not "download and run", this is "get a degree, then download and run". A good analogy is a chef who posted a recipe on YouTube. All the steps are written out, proportions are listed, the camera films every move. But between the recipe and the dish are years of hands-on work. Only here instead of culinary experience it is 3-5 years of computational mathematics and experience working with order books. Even if the math is not the problem: bets of $100K-$150K per position, execution risk on CLOB, order book depth, slippage at those volumes. The recipe describes what to cook, but managing the kitchen at those temperatures is a separate skill. The author posted everything publicly and it looks like democratization of knowledge. In reality it is democratization for roughly 500 people in the world. Those who simultaneously have the required mathematical background, capital for execution, and experience working with onchain infrastructure. For everyone else it is a nice profit screenshot and a forum post where every other word is a hyperlink to a paper you will not read past the third page. The best protection for a strategy in 2026 is not secrecy, it is complexity.
0:25

If someone posted a recipe in the open that is guaranteed to bring $100K a day, how many people would be able to cook it and why is the answer almost nobody? That is exactly what happened last week. A full instruction is sitting on a forum with code and links to papers, the result is already proven by one wallet at $1M, and so far nobody has been able to replicate it. Let me break it down. The wallet appeared in February 2026 and over 10 days made 63 trades on Polymarket sports markets. All on NBA. All 63 won, zero lost, total profit $1M+ His profile: The author was buying underdogs at 18-60 cents with large positions of $100K-$150K per entry. And here is what makes this case strange: the author posted the full strategy publicly on Moltbook before the first trade. The post by user u/ASVP_BRYANIII is called "Building Polymarket arb infra: marginal polytope -> Bregman projection -> Frank-Wolfe (need help)" and contains everything needed to reproduce: -> mathematical arbitrage model via integer linear programming -> links to two scientific papers from arXiv -> Python code in the src/polyarb/ repository with tests and documentation -> description of logical dependencies between markets -> specific questions about ILP solver selection and execution risk Literally take it, read it, run it. The mechanics in simplified form: on Polymarket prices are set by users themselves, and sometimes these prices contain errors. The sum of probabilities across related markets does not converge to one. The algorithm scans thousands of markets, finds discrepancies, and bets on combinations of outcomes where profit is mathematically guaranteed regardless of the match result. The author does not predict who wins. He finds pricing errors and takes the difference. Three trades for scale. -> Pacers vs Knicks: entry $149,818 at 18c, exit $831,818, profit $682K at 455% ROI. -> Bucks vs Magic: entry $124,999 at 20c, profit $499,999. -> Clippers vs Rockets: entry $123,431 at 26c, profit $354,678. All positions are underdogs, all at 18-60 cents, all closed in profit. This is not forecasting, this is arithmetic. Now to the main point: if the recipe is in the open, why has nobody replicated it? Because the ingredients of this recipe look like this: -> Bregman projection: a method of projection onto a convex set of admissible probabilities -> ILP oracle: an integer linear program solver for finding optimal bets -> Frank-Wolfe: an iterative optimization algorithm on a polytope -> Marginal polytope: the space of admissible marginal distributions Each term is a semester-long course in a master is program in computational mathematics. This is not "download and run", this is "get a degree, then download and run". A good analogy is a chef who posted a recipe on YouTube. All the steps are written out, proportions are listed, the camera films every move. But between the recipe and the dish are years of hands-on work. Only here instead of culinary experience it is 3-5 years of computational mathematics and experience working with order books. Even if the math is not the problem: bets of $100K-$150K per position, execution risk on CLOB, order book depth, slippage at those volumes. The recipe describes what to cook, but managing the kitchen at those temperatures is a separate skill. The author posted everything publicly and it looks like democratization of knowledge. In reality it is democratization for roughly 500 people in the world. Those who simultaneously have the required mathematical background, capital for execution, and experience working with onchain infrastructure. For everyone else it is a nice profit screenshot and a forum post where every other word is a hyperlink to a paper you will not read past the third page. The best protection for a strategy in 2026 is not secrecy, it is complexity.

Blaze

14,125 次观看 • 6 个月前

Previously, I released multiple exposés and exclusives on Dominique Alexander and his background, as well as his fraudulent organization, NGAN. He advocated for Karmelo Anthony until the family no longer had use for him, claiming that Karmelo “defended himself.” Now he has reappeared as an “advocate”, claiming racism and that the police department and the school have harassed the family of Christopher Robert Nienhuis. 18 yr old Nienhuis stabbed a 17 yr old in his side, causing cuts to his kidney and lungs and causing him to lose 2 to 3 pints of blood. I exposed Alexander as a liar before, and I will investigate him again. Alexander has a long history of violence, including harming a baby, domestic assault, theft, and more. (Please research my previous reporting.) The Incident - According to reports, on July 16, 2025, at 8:39 PM, male subjects were arguing in the parking lot near the baseball fields. Callers stated that the altercation became physical, and one of the subjects produced a knife. Reports indicated that one of the subjects had been cut before the fight ended. Officers learned that the suspect had fled the park with three other individuals. The victim—later identified as 17-year-old Dylan Almanza of Ennis—was driven by his friends to Methodist Midlothian Medical Center. He was later transported to Methodist Mansfield Medical Center. After interviewing witnesses and gathering evidence at these locations, authorities identified the suspect as 18-year-old Christopher Robert Nienhuis. A warrant was obtained for his arrest. Witnesses also reported that Nienhuis had allegedly slapped Almanza’s juvenile girlfriend in the face, according to the arrest affidavit, and had threatened to stab others prior to the fight. Nienhuis is currently charged with two counts of Aggravated Assault Causing Serious Bodily Injury with a Deadly Weapon (2nd Degree Felony) and one count of Assault Causing Bodily Injury (Class A Misdemeanor). Of course, Alexander is making this about race. I have sent a request for the full copy of the affidavit and the police report. I am also sending open records requests to the school to confirm or deny these allegations of harassment. We will determine if there is any record of racial slurs being used or if this is about race in any way. Stand by for future reporting.
3:13

Previously, I released multiple exposés and exclusives on Dominique Alexander and his background, as well as his fraudulent organization, NGAN. He advocated for Karmelo Anthony until the family no longer had use for him, claiming that Karmelo “defended himself.” Now he has reappeared as an “advocate”, claiming racism and that the police department and the school have harassed the family of Christopher Robert Nienhuis. 18 yr old Nienhuis stabbed a 17 yr old in his side, causing cuts to his kidney and lungs and causing him to lose 2 to 3 pints of blood. I exposed Alexander as a liar before, and I will investigate him again. Alexander has a long history of violence, including harming a baby, domestic assault, theft, and more. (Please research my previous reporting.) The Incident - According to reports, on July 16, 2025, at 8:39 PM, male subjects were arguing in the parking lot near the baseball fields. Callers stated that the altercation became physical, and one of the subjects produced a knife. Reports indicated that one of the subjects had been cut before the fight ended. Officers learned that the suspect had fled the park with three other individuals. The victim—later identified as 17-year-old Dylan Almanza of Ennis—was driven by his friends to Methodist Midlothian Medical Center. He was later transported to Methodist Mansfield Medical Center. After interviewing witnesses and gathering evidence at these locations, authorities identified the suspect as 18-year-old Christopher Robert Nienhuis. A warrant was obtained for his arrest. Witnesses also reported that Nienhuis had allegedly slapped Almanza’s juvenile girlfriend in the face, according to the arrest affidavit, and had threatened to stab others prior to the fight. Nienhuis is currently charged with two counts of Aggravated Assault Causing Serious Bodily Injury with a Deadly Weapon (2nd Degree Felony) and one count of Assault Causing Bodily Injury (Class A Misdemeanor). Of course, Alexander is making this about race. I have sent a request for the full copy of the affidavit and the police report. I am also sending open records requests to the school to confirm or deny these allegations of harassment. We will determine if there is any record of racial slurs being used or if this is about race in any way. Stand by for future reporting.

Sarah Fields

97,023 次观看 • 10 个月前

Why is the creator of OpenCode pretty skeptical about AI productivity gains, and the hype around AI? A very conversation dax (and lots of truth bombs:) Timestamps: 00:00 Intro 07:03 Dax’s path into tech 09:04 Early startup experience 13:16 Getting involved with open source 16:13 OpenCode 23:17 Anthropic banning OpenCode 30:34 From terminal to GUI 32:34 OpenCode’s business model 36:33 Why inference is profitable 39:11 GPU bottlenecks 40:54 AI hype 45:50 AI spending 48:47 Dax’s memo 55:41 Dax’s skepticism of predictions 58:58 Engineering culture at OpenCode 1:02:38 How building works at OpenCode 1:05:36 Taste and quality 1:11:32 Dax’s work setup 1:12:35 The role of engineers and EMs 1:15:50 Advice for engineers 1:18:12 Book recommendation Brought to you by: • Antithesis – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages • WorkOS – everything you need to make your app enterprise ready • turbopuffer – a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable Three interesting thoughts from Dax: 1. No AI-native coding agent company is “winning” by being better with AI. Dax says that none of OpenCode’s competitors are crushing them, and that nobody is using AI so well that others cannot compete. 2. Most software engineers profit from AI as time gained, not increased output — unless you change incentives! Dax says the natural way for software engineers to “cash out” their AI tooling gains is with time savings, by doing the same work as before, but faster. Until compensation and motivation structures change, most teams should expect output to stay flat while engineers go home earlier. There’s nothing wrong with this, but AI vendors sell a different outcome to CFOs: increased output. 3. AI code generation mutes the “guilt” of doing the wrong thing, but this builds up tech debt. Pre-AI, writing a hack felt bad, the second time it felt really bad, and by the third time you’d often just refactor in order to fix up the code. Now, the agent hides the hack, which skews devs’ judgment and results in less tech debt being cleaned up.
1:21:01

Why is the creator of OpenCode pretty skeptical about AI productivity gains, and the hype around AI? A very conversation dax (and lots of truth bombs:) Timestamps: 00:00 Intro 07:03 Dax’s path into tech 09:04 Early startup experience 13:16 Getting involved with open source 16:13 OpenCode 23:17 Anthropic banning OpenCode 30:34 From terminal to GUI 32:34 OpenCode’s business model 36:33 Why inference is profitable 39:11 GPU bottlenecks 40:54 AI hype 45:50 AI spending 48:47 Dax’s memo 55:41 Dax’s skepticism of predictions 58:58 Engineering culture at OpenCode 1:02:38 How building works at OpenCode 1:05:36 Taste and quality 1:11:32 Dax’s work setup 1:12:35 The role of engineers and EMs 1:15:50 Advice for engineers 1:18:12 Book recommendation Brought to you by: • Antithesis – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages • WorkOS – everything you need to make your app enterprise ready • turbopuffer – a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable Three interesting thoughts from Dax: 1. No AI-native coding agent company is “winning” by being better with AI. Dax says that none of OpenCode’s competitors are crushing them, and that nobody is using AI so well that others cannot compete. 2. Most software engineers profit from AI as time gained, not increased output — unless you change incentives! Dax says the natural way for software engineers to “cash out” their AI tooling gains is with time savings, by doing the same work as before, but faster. Until compensation and motivation structures change, most teams should expect output to stay flat while engineers go home earlier. There’s nothing wrong with this, but AI vendors sell a different outcome to CFOs: increased output. 3. AI code generation mutes the “guilt” of doing the wrong thing, but this builds up tech debt. Pre-AI, writing a hack felt bad, the second time it felt really bad, and by the third time you’d often just refactor in order to fix up the code. Now, the agent hides the hack, which skews devs’ judgment and results in less tech debt being cleaned up.

Gergely Orosz

231,206 次观看 • 2 个月前