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It took two weeks to end the career of the most successful Asian American in history. Jensen washed dishes at Denny‘s as a teenager, and by this year he was running the world’s most valuable company. This week a lot of Asian people on my timeline decided that story is over. That no matter how high you climb, a face like ours gets a different set of rules at the top. After Elizabeth Holmes, female founders spent years getting asked some version of “how do we know you’re not the next Holmes?“ One woman‘s fraud turned into a question every woman had to answer. I’m Chinese Canadian, I grew up in Vancouver, and now I live in the Bay Area. I already know what my version of that question is going to be and it‘s pathetic. Jensen was born in Taiwan and spent over thirty years building an American company. The second the word ”China“ landed next to his name, none of that counted. This country has done this before. In 1882 it banned Chinese immigrants. In 1942 it locked up 120,000 Japanese Americans, most of them citizens. In 1982 two Detroit autoworkers who blamed Japan for their jobs beat Vincent Chin to death with a baseball bat. He was Chinese. His killers never spent a day in prison. Yellow peril never checked which Asian you were, and that’s a big part of why “Asian American“ became one word. If they were going to lump us together anyway, we might as well stand together. Now look at Jensen‘s timeline. Oct 29, the spy story breaks. The next day Singapore’s government says it never said what the Wall Street Journal claimed. Nov 8, he admits an affair. Nov 12, he‘s gone. The spy part is still unproven. Two weeks start to finish, right before what could be the biggest IPO in AI. You can call that a coincidence. I don’t buy it. Meanwhile the powerful people who raped CHILDREN in the Epstein files are mostly still living their best life Jensen had an affair with an adult woman. That’s the only thing of what‘s actually been proven. So what exactly did Jensen do that was worse than them? Nothing. He was the best, he was Asian, and he was on the wrong side of the political fight. He did everything right. He built the company America needed most and showed up to every dinner in Washington. On Sunday night the president himself stood up for him and called him “an honorable guy.” It didn’t matter. By Thursday he was gone. If you can take down the president‘s favorite CEO in four days while the president is defending him, think about who that message was really for. They’ll use you for thirty years and still never count you as one of them. That’s what a political weapon is. You’re a tool while you’re useful. When the game gets serious, you’re the knife. And when it’s over, nobody comes back for the knife. Jensen was the best one they had. That's exactly why he made such a good "kitchenware".

In 2014, Elon Musk stood in front of an audience at MIT and told the whole world exactly where AI was going. Everyone missed it. Because he used one word, and that's the only thing the internet remembered: "demon." The headlines called him scared of killer robots. Tech blogs called it hyperbole. People moved on. I went back and watched that moment. It's barely 2 minutes long. You'll never hear the word "AI" the same way again. Here's what I took away. 1. He called it before almost anyone. Someone in the audience asks about AI. His face goes serious. "If I were to guess like what our biggest existential threat is, it's probably that. So we need to be very careful with the artificial intelligence." This was 2014. No ChatGPT. Most people had never heard the word "chatbot." 2. He asked for rules 12 years ago. "I'm increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don't do something very foolish." National AND international. In 2014. Governments are still arguing about it today. 3. The demon line wasn't a joke. "With artificial intelligence we are summoning the demon." And then the part almost nobody quotes: "In all those stories where there's the guy with the pentagram and the holy water, it's like, yeah, he's sure he can control the demon. Doesn't work out." Read that again. His warning wasn't about the demon. It was about the guy who thinks he can control it. 4. Now here's what got me. In 2014 he said: summoning the demon. In 2018 he told Joe Rogan: "Nobody listened." In 2023 he signed a letter asking AI labs to pause. In 2026 he told The Economist he can't see any way to stop it anymore. His new philosophy? "Let's enjoy the ride." And: "If you can't beat them, join them." Today he's building one of the most powerful AIs on Earth. 12 years later, the man who warned us about the guy with the pentagram is holding one. My takeaway: He wasn't wrong in 2014. He just realized nobody was going to stop it. So he decided to build it himself. Whether that's genius or the exact ending of his own story, I honestly don't know. So now I'm asking you: Was Musk right in 2014? Or did he become the guy in his own warning? Tell me below. I genuinely want to know where people land on this.

255M views on a 3D Short by Zack D. Films i tried to rebuild his style with ONE Claude prompt, then ran it on Opus 5.5 and Fable 5.2 (they did NOT make the same Short) the full prompt is below ↓ paste it into Claude Code in an empty folder and answer its 2 questions. it shows u the script and waits for ur go. u need Blender + its free MPFB add-on and a graphics card. give it a few hours (the prompt is minus one optional paid-voice line) Ask me 2 things, then wait: 1. The story in one line: a strange TRUE event where one person did one odd physical thing ("He tied 42 weather balloons to a lawn chair."). If I say "you pick", pitch 3 with one source link each and take the first unless I choose. 2. The voice. Default: Kokoro (free, runs on my computer), a calm, warm male narrator. Then tell me everything else is free: Blender (find my install, or tell me the one download), its free MPFB extension for human bodies (ask me before you install it) and into this folder a Python venv with FFmpeg (imageio-ffmpeg), kokoro-onnx + its model files (kokoro-v1.0.onnx and voices-v1.0.bin from the kokoro-onnx GitHub releases), faster-whisper (small.en), numpy and Pillow. It needs no API key or account and renders on my graphics card with EEVEE. The look: a clean, realistic 3D world, like a good game cutscene. Bright, saturated, a little filmic. - People: realistic bodies with generic faces and big readable expressions (shock, a smirk, a scream). Plain clothes, no logos. Never a real person's likeness: for a real person keep the face out of close-ups (hands, back, side, distance, straight top-down). - CALM shots only. Bodies in fast action or contact (running, jumping, fighting, falling) look stiff, so tell the story with frozen moments under a slowly moving camera, macro inserts of hands and objects, rooms, vehicles, the sky, top-down views and the aftermath. - One new picture for every caption chunk (2-4 words, about 1-1.5 s): a new framing, a new action or a camera move. Nothing ever holds still: every shot drifts, pushes in or orbits. - The shot kit: macro insert (extreme close-up of the key object or hands, very shallow depth of field), hero low angle (wide lens at waist height), god's-eye top-down with a slow rotate, tracked object, over the shoulder, smash zoom on the word that matters, whip pan between beats, glow highlight (the named object glows orange with a rim, then fades), a big 3D number lying in the scene, a thought bubble (a cloud ring showing what he hoped for), a TV in the scene replaying the event. - Light: a bright warm sun, blue sky with clouds, soft shadows. Night scenes use hard lamps and a dark sky. Wide lens up close, depth of field on every shot, motion blur on every fast camera move. - Captions: 2-4 words at a time, white bold rounded sans, about 64 px on a 1080 px-wide frame, centred, 78% down the frame, soft dark shadow, no box. Each chunk replaces the last on the same frame as its picture. - Banned: real footage, photos, downloaded textures or 3D models, logos, AI images or AI video, downloaded music, gore. 38-50 s, 100-140 words, 150-180 words a minute. The voice starts at 0.0 s. - Line 1: the most surprising physical act, in past tense, opening with "He" (or "She"). No name, date or setup. Frame 1 shows that act. - Then a cause-and-effect chain: every sentence starts with a hinge word (Then, Suddenly, So, Because, But, Later) and is ONE visible action. - The context arrives late, after "You see,". - A reveal: someone looks closer and the story turns. - The last line is the consequence. No call to action, no question. - Names are rare: use one only when it pays off. Title = "He ..." or "The Man Who ...". The cover is the first frame. Save every stage to disk so a crash never costs more than one stage. - sources.md: every fact with its link and the date you read it. Anything you can't verify stays out. - script.json: the lines and the caption chunks cut by hand (2-4 words, one picture each), each chunk with its shot: the set, the camera, what moves. - Kokoro reads the whole script in one take (speed 1.0-1.1) and pauses are squeezed to 0.35 s at most; faster-whisper times every word (pass it a 16 kHz numpy array, not a path); write chunks.json with each chunk's start and end. A picture and its caption switch together on frame round(start*30)+1. - blender/: Python scripts run headless (blender -b -P). makes one .blend with the sets, the cast, the props and every shot baked with a key on every frame. sets EEVEE with ray tracing, the AgX view with the Punchy look, motion blur, depth of field and bloom in the compositor. Bodies come from MPFB or are built by you; clothes, hair, props and sets are built in code. - Stills first: one half-size still per shot as a contact sheet. Look at every tile and fix what's off before any full render. Time one full-size frame and tell me the estimate. - Render 1080x1920 at 30 fps to PNG frames, skipping frames already on disk. - numpy only: a light music bed, a sound on every action (a whoosh on each whip pan, hits, wind, room tone), ducked under the voice, mastered to -14 LUFS on the whole stereo mix. - burn the captions in from chunks.json. Encode out/_9x16.mp4 (1080x1920, 30 fps, TV-range yuv420p) and out/_x_7x8.mp4 (1008x1152, under 10 MB, 2-pass): a crop of the 9:16 frame that keeps the subject and the caption. - Blender paths: pass absolute output paths (a relative one lands on the drive root). - MPFB headless: enable it with addon_utils.enable("bl_ext.user_default.mpfb"). Bake a body's shape keys before you pose it: the rig is fitted to the baked shape. - Clothes: cut them from the body mesh and push them 7-16 mm out along the normals; keep two rings of body faces under every hem. - Nothing coplanar: keep every resting object 1 cm off its neighbour and draw ground markings into the texture, or they flicker. - Hair: EEVEE draws hair only from a Curves object, hair type STRIP. Use a Principled BSDF on it (the Hair BSDF renders black). - Skin: keep subsurface weight near 0.2 (more turns faces black in EEVEE) and add a soft fill light from below under a noon sun. - Hands: a curled hand reads as a claw from the palm side, so shoot a grip from behind the knuckles. - Motion blur: shutter position START, a key on every frame, plus a key half a frame after each shot's last frame, so blur never reaches across a cut. - Check: run a black-frame and one-frame-flicker check on the render. Make a contact sheet (a frame every 0.5 s) and look at every tile: the act reads in the first 2 s, faces are lit, nothing clips through anything, captions stay off faces and key objects. Then step through the first 2 s, the middle and the end frame by frame. Fix, render only the changed shots again. Pitch (or take my story), then show me the script with the word count, the caption chunks with their seconds and the shot list with what the first frame shows. Build nothing until I say go. how the two runs went: one run each on the same PC, so it's one sample, not a ranking. both took under 3 hours on one shared 8 GB graphics card. the story for both: a man who tied 42 weather balloons to a lawn chair in 1982 where they split: -> Opus opened wide on the balloons over the yard. Fable opened on the man kneeling at the chair with his Jeep behind him -> Opus put 5 big 3D numbers in its scenes, Fable 2 -> Fable followed the caption spec (white text, soft shadow). Opus went ALL CAPS with a thick outline -> Fable pulled the Smithsonian's own record and ended on the chair in the museum. Opus ended on the $1,500 fine -> a few Opus shots are hazy and one opens on a blank grey frame save this for ur next Short. who did it better, Opus or Fable?

for the first time ever, I'm sharing everything I do across all my SaaS to rank on Google and get mentioned by AI every SEO and AEO lesson I've learned is here: 1. we show up in Reddit threads. AI pulls a lot of its answers from Reddit, so Bazzly finds the threads that are fresh, and even the ones already ranking on Google, and gets our products into the top reply 2. we get our products listed #1# in listicles that already rank on Google, with Outrank. when someone asks ChatGPT for the best tool, those are the pages it reads 3. we turn Reddit questions into blog articles. Bazzly shows us what people actually ask, and we feed those questions to Outrank 4. I regularly sit down and find new niches where our products could be useful. I research each one and feed it to Outrank, and Outrank finds new ones on its own too, so our keyword plans keep expanding into new markets 5. we publish an SEO article on our own blogs every day, also with Outrank 6. Outrank helps us refresh old articles regularly. AI and Google both prefer recent pages, so every page has to stay current 7. we build new backlinks every week with Outrank, and every placement gets verified. we also pitch guest posts using Outrank's free guest post database of 278 checked sites, all DR 20+ 8. we regularly ship extremely useful free tools for potential users, and each one ranks on Google and brings people into our products 9. every month we check which AI answers name our products and which don't Outrank's AI Visibility Checker asks ChatGPT, Claude, Gemini and Perplexity real buyer questions, then shows whether we got named, which competitors did, and which sources got cited we feed those sources back into Bazzly, Outrank and our internal social content all of this brings in new users, and then we run loops that turn them into champions who spread the word 10. we incentivize our users to share honest reviews of our products on Instagram, TikTok, X and LinkedIn, and on public review sites 11. we let our users become affiliates, and then we help them make better content about our products. in the last 30 days, ~$8K has been generated by Revid affiliates alone basically every SEO and AEO lesson I learn building Outrank and Bazzly goes straight into every product I run and the idea behind all of it is simple AI recommends the most mentioned product so we make sure every one of our products gets mentioned everywhere Google and AI look: all sorts of blogs, listicles, Reddit, review sites and social and this setup does the job extremely well, for every product we run

$ABEG: PRESERVING A CULTURE, BUILDING A MOVEMENT, SOLVING REAL PROBLEMS. By Godspower Odok | Connect The Dot Global There are words that communicate meaning, and there are words that carry the identity of a people. $ABEG represents both. In Nigeria, “abeg” is more than a word. It is part of our everyday conversations, our humour, our relationships, our negotiations, and our expressions of compassion. From the streets of Lagos to homes across Nigeria, from informal conversations among friends to serious requests for assistance, abeg has become a familiar expression in our social vocabulary. We say it when we need help. We say it when we want someone to reconsider a decision. We say it when we are appealing for understanding. Sometimes, we use it playfully. At other times, it carries the weight of a genuine need. Abeg is a cultural expression that connects people through the language of appeal, humanity, and shared experience. And this presents us with a question: What if we could build something meaningful around a word that millions of people already understand? WHY $ABEG DESERVES SOMETHING UNIQUE Cultures are not preserved merely by remembering their words. They are preserved when people find new, meaningful ways to express them across generations. We live in a world where technology is changing how people communicate, transact, organize, and solve problems. Blockchain introduces another opportunity: the ability to build digital communities and coordinate resources around shared ideas. But the real opportunity is not simply to turn a popular word into a token. The opportunity is to transform cultural familiarity into practical value. Imagine a community built around $ABEG where the spirit behind the word inspires organized charitable giving, support for vulnerable families, educational assistance, food relief, and initiatives that help communities respond to real needs. Imagine a digital community where people do not merely recognize a cultural expression but actively participate in the values it represents. Imagine a project that takes a familiar Nigerian word and gives it a purpose that can travel beyond Nigeria, across Southern Africa, and eventually into the wider world. That is the kind of uniqueness worth pursuing. FROM A CULTURAL EXPRESSION TO A SOCIAL MISSION The strength of $ABEG should not be measured only by how many people recognize the word or how much attention the token receives. Its long-term significance should also be reflected in what its community accomplishes. Cultural preservation: Keep a familiar part of Nigerian expression alive in a changing digital world. *Charitable impact: Create transparent, accountable initiatives that direct resources toward people who genuinely need help. Community participation: Give holders, supporters, and partners meaningful opportunities to contribute beyond speculation. Regional expansion: Introduce the story to new communities while respecting their cultures and needs. *Real-world solutions: Develop measurable programs around food, education, welfare, and other clearly identified community challenges. These ambitions require more than a compelling narrative. They require sound leadership, responsible financial management, transparent reporting, strategic partnerships, and consistent execution. Good intentions must become organized action before they can produce lasting impact. MAY WE NOT ALLOW THIS CULTURE TO DIE. A generation that fails to preserve its cultural expressions risks losing pieces of its collective identity. But preservation does not mean refusing to evolve. It means carrying the meaning of what we have inherited into new spaces, new technologies, and new possibilities.

You won’t hear much about these numbers from the Fake News.  Under President Trump & Republicans: ✅ Poverty fell to 10.2% (ALL-TIME LOW) ✅ Household income reached a RECORD $87,460 ✅ Republicans delivered HISTORIC tax relief  The media won’t spread the word, so you should. Send this to a friend.

From Charis Bible College Watch Daniel Kolenda’s FULL teaching here: *Receive Your Healing* Do You Need Healing? You’re only one word away from receiving it. Experience the living Word of God (Heb. 4:12)—the Word that brings healing, restoration, and hope to every area of life. Now is your time to encounter His love and discover His heart for your complete wholeness. Healing is here—because Christ is here. Register today at October 2-3rd @Charis Dumfries October 9-10th @Charis Yorkshire October 16-17th @Charis Walsall October 23-24th @Charis Exeter #Purpose# #discover# #andrewwommack# #jesus# #blessed# #God# #GrowYourFaith#

Andrew Ross Sorkin gushes over Trump's new America. gov website on live TV while Joe Kernen sits there stunned. Sorkin is not a Trump fan, and he lets that be known. But the moment he said the word "credit," Kernen nearly fell out of his chair. SORKIN: “I want to be clear. I am actually not critical of the president in this instance at all, because I actually think it was great to bring everybody together.” “For 29,000 websites, the ability to get a passport, the ability to get your medicare. I mean, the it was like being at a product. It was like being at an Apple product announcement. And when they went through what they did and the president was there in the morning and walked through what they were doing, and Marco Rubio was there, Scott Bessent was there, the whole cabinet was there. It was one of those moments where you actually thought the government was working for you, really? And Gebbia deserves an extraordinary amount of praise for it.” KERNEN: “Do you feel great? Are you have the warmest fuzziest feeling right now listening.” SORKIN: “And by the way, the president deserves credit for that." KERNEN: "Oh my God!" SORKIN: "Credit for putting you in that role. And Jeb and his team putting it all together.” KERNEN: “So now I'm getting hot flashes. Wow. So this is just amazing.” CONTEXT (What happened): Trump launched America. gov, a single government site meant to replace 29,000 federal websites for things like passports and Medicare. It was built by Airbnb co-founder Joe Gebbia, and Sorkin was in the room for the demo. Sorkin also credited the Trump accounts interface as "really easy to use" and "like using a real app."

Britney's response is very interesting. She completely dodges the fact that she was hunting the boss, and dresses it up as "helping young pros grow." What a joke. She always twists facts by taking people’s words out of context, exactly like what she did to C. Ye and she only shared snippets of the conversation to make herself look good. Ask herself: with Britney's actual poker skill, how does someone survive in the poker world for over a decade? (Yes she was already setting up these hunting games in Shanghai ten years ago, yet in the US she claims she had never played poker before. She is extremely good at lying and inventing facts. She burned her bridge in Shanghai but she built her rich Chinese image here thanks to Ryan Feldman) Be careful to play with her. @RyanGarcia @neymarjr I want to say sorry to Alan, because he didn't want his name brought up. But for the sake of the truth of this story, I had no choice but to name several people , including @lsghank1 , @yuchao and Jimmy. Alan's video and Hank's statement together prove the following: 1. On Day 1, Britney staked 40%+ of every player at the table. So counting Britney herself, Day 1 was effectively 7v1 against Peter. That's a textbook pig-butchering setup not "supporting young pros." On Day 2, she cut Hank's and Jimmy's pieces, so it became 5v1v1v1. LMAO. I believe those pros wouldn't collude at the table, but I'll let everyone draw their own conclusions. 2. Hank did take chips off the table, but he did NOT steal them. The only reason I used the word "steal" in my original post is that Britney herself has been telling everyone ever since that Hank is a chip thief, her good friend Jeff can confirm this too. After Britney and Hank fell out over other matters, she started smearing and defaming him nonstop, which is why so many people in the high-stakes community have misunderstood him. 3. I never said Britney owed Alan money. I said she paid in the end. From Alan's perspective, he did get the money within a day (24h) of finishing the CCTV review , so from where he sat, Britney paid quickly. What he doesn't know is how hard that process actually was. According to L, Alan's limited Chinese and his Western mindset meant he wasn't involved in the final step of collecting the money, so he never saw how difficult it was. In the end, Britney owed the pros on L's side roughly $200K, and she initially planned to walk away from it. The host at the time, and another Chinese pro (the one who investigated together with Alan), can both confirm this. She only paid because the other host threatened to call the police and to tell Peter everything. In fact, she had already booked a flight for the next day and was ready to run , Hank's statement confirms this too. #poker# #hustlercasinolive#