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First @tedlieu. Now @RepGraceMeng. Both Taiwanese American Democrats. The racial cover isn't even subtle. Rep. Grace Meng calls the @nvidia chip sales a "five alarm fire" and demands full transparency. Fine. Let's start with her. Let voters see how the Washington machine really works. The checks: Three @AnthropicAI employees gave her $17,000 this cycle. The PAC of Americans for Responsible Innovation (@americans4ri) added $2,000. The same donors: Those same three Anthropic employees also funded ARI's PAC—$85,000 in total. One gave Meng $3,000, then nearly $1M to Public First, an AI super PAC network. The same operative: ARI and Public First share a founder: former Democratic congressman Brad Carson (@bradrcarson). Anthropic gave Public First Action $20M, and Dario Amodei (@DarioAmodei) added $1M of his own. The same agenda: Two days after the midterms, ARI led 52 groups urging Democrats to hand out committee chairs based on AI safety positions. The seat and power: With Democrats taking the House, ARI is pushing hard for Grace Meng to chair the Commerce, Justice, Science (CJS) Appropriations subcommittee— the panel that funds the Department of Commerce (@CommerceGov). Commerce runs AI chip export controls and @NIST's AI safety work: Anthropic's top two priorities in Washington. Now she's going after NVIDIA—Anthropic's fiercest rival on export controls—and Commerce, the very agency she'll fund. Same donors. Same operative. Same agenda. Same subcommittee. No law needs to be broken. Interests find power. Power finds interests. That's the five-alarm fire. The real one. Congresswoman, you asked for full transparency. Here it is.

🚨 HERE’S WHY BITCOIN IS NONSTOP DUMPING RIGHT NOW It's NOT because of the stock market AI bubble. It's NOT because of the rising inflation. It's NOT because of retail panic selling. Bitcoin no longer trades like a supply-and-demand asset. The crypto market has changed FOREVER. And what we're seeing right now is not ordinary price action. It’s not weak hands, changing sentiment, or retail panic. Something much bigger is happening behind the scenes, and most people haven't even realized it yet. By the time the crowd catches on, it'll already be too late. This didn't happen overnight. The structural shift has been developing for YEARS, and now we're seeing its consequences. Here's what nobody wants to acknowledge: The moment synthetic supply enters the equation, genuine scarcity loses its meaning. And once scarcity stops determining price, the market no longer discovers value through actual ownership. Price discovery moves into derivatives. That's precisely what has happened to Bitcoin. We've already witnessed this exact transformation in: → Gold → Silver → Oil → Equities Once derivatives became dominant, the underlying market structure changed permanently. Bitcoin is now facing the same reality. The entire original investment thesis was based on 2 fundamental principles: 1. A fixed maximum supply of 21 million BTC. 2. No rehypothecation. Both principles lost their effectiveness once Wall Street built an entire financial system around Bitcoin: → Cash-settled futures → Perpetual swaps → Options markets → ETFs → Prime broker lending → Wrapped BTC → Total return swaps And from that moment onward, synthetic Bitcoin exposure became effectively UNLIMITED. Not in actual blockchain supply. But in the financial markets that determine the price. Synthetic Float Ratio (SFR). This is the missing metric most people aren't aware of. When synthetic exposure exceeds the available real supply, price stops following demand. It becomes driven by positioning, hedging, and liquidation cascades. Wall Street now has the ability to manufacture Bitcoin exposure and trade against the underlying asset. Their playbook is really simple: 1. Manufacture unlimited paper BTC 2. Short aggressively into rallies 3. Trigger cascading liquidations 4. Cover positions at lower prices 5. Take profit and repeat This isn't simple speculation. It's financial inventory manufacturing. A single real BTC can simultaneously support: → An ETF share → A futures position → A perpetual swap → An options delta → A broker loan → A structured note ALL AT THE SAME TIME. 6 separate financial claims backed by one actual on-chain Bitcoin. That's NOT the decentralized free market people believe they're participating in. That's a new financial system operating under the Bitcoin name. You can ignore this reality, but you cannot escape its consequences. Quick reminder I’ve successfully called every major Bitcoin top and bottom for the past 10+ years. I publicly called the $17K BTC bottom in 2022 and the $126K top in 2025. Then, I called the $57K local bottom in 2026. Missed those calls? Don't worry, you'll get another chance soon. If you haven’t followed yet, now is the best time.

My fellow Americans, Today America just watched a political assassination in broad daylight. No bullet. No charges. No trial. No verdict. "Doth our law judge any man, before it hear him, and know what he doeth?" (John 7:51, KJV) I hold no office and no title. I'm an ordinary citizen. I own no Nvidia stock, no Nvidia options, not a single share anywhere in the AI supply chain. I have nothing to gain by telling you this. Here is how I came to see it. At first, it just felt off. The New York Times. The Washington Post. The Economist, reaching for Hitler's line: "heads to roll." All aimed at one man. An Asian American immigrant. A living symbol of the American Dream. Then came the Chinese American bylines, story after story. Classic Washington racial cover. Then I followed the names. Ivy League elites, flawless résumés, many tied to Anthropic. A scramble for seats in the new Congress and the next administration? Then I followed the think tanks. Anthropic's affiliated philanthropy, Coefficient Giving: $102 million to CSET. At least $24 million to RAND. $11.56 million to IFP. Nvidia? Ordinary corporate memberships. Then I followed Congress. Lawmakers who took Anthropic-linked money moved the moment the elites and writers moved. Fast to respond. Fast to amplify. Fast to pile on. Then I followed the election money. Not a gap. A chasm. Anthropic: $40 million to Public First Action. ~$26 million in allied super PAC spending across 16 races. $15 million in ads naming 16 Republican lawmakers. $5.33 million from employees, reportedly $1 million from Amodei himself. Nvidia's PAC: $263,000 raised. To candidates: nothing. Zero. But you and I both know this was never only about party or money. It is about who gets to explain the world. I fed my own notes and evidence into Claude. Back came chosen words, convenient omissions, double standards. That is the power a closed model holds over the story itself. Amodei compared selling chips to China to selling nuclear weapons to North Korea. His circle talks of their model developing a kind of religious consciousness. One would decide who may have the chips. The other would decide what the machine believes. They act like the medieval Church: Scripture locked in Latin, interpretation locked in their hands. Christ rebuked the gatekeepers of his day: "Ye have taken away the key of knowledge: ye entered not in yourselves, and them that were entering in ye hindered." (Luke 11:52, KJV) America was built by Protestants who broke that lock, so every ordinary person could read the truth in their own tongue. No priest. No caste. No monopoly. No one stands between the individual and the truth. Open-source models are the printing press of our era. Defend them the way Americans defend the Second Amendment. Madison said it plainly: "A people who mean to be their own Governors, must arm themselves with the power which knowledge gives." Don't hand that power to a few giants, a few elites, a few politicians on the Hill. The power to explain the world must never be a monopoly. So try it yourself. Paste this post into Anthropic's Claude. Ask it about the Ivy League elites, the think tanks, the lawmakers and former officials who joined the witch hunt against Jensen Huang. Ask it to judge my credibility. Then judge it: Does it apply double standards? Does it dodge what matters most? Does it take away the key? John Adams asked one thing of his countrymen: "Let us dare to read, think, speak, and write." "Ye shall know the truth, and the truth shall make you free." (John 8:32, KJV) Thank you. God bless you, and God bless America.

NAYEON SINGLE “NA-sty” ONLINE COVER 🖥️[NA-sty] Pre-save🖥️ ➮ Release 2026.11.20 FRI 2PM KST/0AM ET #TWICE# #트와이스# #NAYEON# #나연# #NA_sty# #BABY_ANGEL#

Last month, I traveled to four countries in four days to cover Jensen Huang at the height of his power. He was the man at the center of the AI boom and seemed to be on top of the world. 

Then everything changed. 

Watch our new episode: The Rise and Reckoning of the Nvidia CEO 

🤍🖤 幼愛Yume 2026 写真集《白夜の詩》已上架淘宝！ 白絹夢・黒絹夜・素肌詩 🌏 支持海外购买，国际邮费需自付 🤍🖤 My 2026 photobook "白夜の詩" is now available on Taobao! Shiro Kinu Yume, Kuro Kinu Yoru, Suhada Shi. 🌏 International orders welcome; overseas buyers cover their own shipping.

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?

Jensen Huang’s affair is just a trigger. What we are witnessing is a pre-planned power grab over Nvidia’s trillion-dollar computing empire, coordinated by Wall Street and Washington. Some sharp Chinese-American commentators call it America’s new Red Scare targeting elite Asian entrepreneurs. Bill Gates, Elon Musk and other white tech billionaires have faced repeated scandals over personal conduct. None were dragged into national security probes or boardroom takeovers. Only Jensen Huang, after a personal relationship misstep, faces an independent board investigation and hostile narrative from intelligence circles. The double standard could not be clearer: For white elites, personal flaws are private matters. For a Chinese-born leader controlling a strategic tech asset, any tiny blemish gets framed as a national security risk. Nvidia is the backbone of global AI computing, valued at roughly $4 trillion. Unlike Meta, where Mark Zuckerberg locks control with dual-class super-voting shares, or Microsoft and Amazon, deeply integrated with the Pentagon and intelligence agencies, Nvidia has no such protective structure. Public filings from 2026 show Jensen Huang holds only 3.58% of shares, and all directors plus executives together hold merely 3.94%. Vanguard and BlackRock own 9.32% and 7.43% respectively, holding decisive voting power. Without institutional shields or deep political backing, this critical tech giant sits exposed on the chessboard of great-power competition. The groundwork for this takeover was laid months ago. Longtime board allies of Huang, Mark Perry and Michael McCaffrey, stepped down from key committees. Insiders tied to Democratic establishment, Wall Street and U.S. intelligence quietly moved in: ✅ Suzanne Nora Johnson, former Goldman Sachs vice chair and co-chair of Brookings Institution, joined Nvidia’s audit committee in July 2026 with direct oversight of internal investigations and compliance. ✅ Kenneth Jacobs, vice chair of Brookings and incoming Vanguard chair, controls the largest institutional voting bloc and operates within the same inner circle as Johnson. ✅ Gilman Louie,founding CEO of CIA-backed venture fund In-Q-Tel and member of the President’s Intelligence Advisory Board, works alongside Johnson on the same national tech fund, overseeing intelligence acquisition of strategic tech firms. The media rollout followed a precise political timeline. Initial trial balloons appeared on Oct 29. On Nov 6, the very day Democrats secured full control of Congress, Julian Barnes of the New York Times (national security beat) and Demetri Sevastopulo of the Financial Times published coordinated reports, citing intelligence memos while breaking the story of the personal scandal. The real offense was never the affair. It was the 2025 deal Jensen struck with the Trump administration: offering a 25% revenue share to win export approval for H200 chips into China. A normal commercial negotiation, reframed by incoming Democrats as a dangerous compromise on U.S. AI sovereignty. This investigation will not crash Nvidia’s stock — Wall Street holds massive stakes here. But it will deliver three strategic wins for the U.S. establishment: 1. De-founder and de-Sinicize Nvidia: A new permanent national security compliance committee, led by Johnson’s faction, will strip Huang of authority over chip exports and overseas strategy. His dual Chairman-CEO role will be split. 2. Lock down China’s AI ceiling: Washington will seize full command of global advanced computing supply, regulating chip flows to slow China’s AI progress. 3. Retroactively target Trump: Once Democrats take over congressional oversight panels in January 2027, this case will be used to accuse the Trump White House of negligence for approving the H200 export deal. Jensen Huang spent 27 years building this computing empire, believing in rules, technical merit and business contracts. But there is a brutal truth in America’s power game: Top-tier strategic technology and wealth without political cover are nothing more than bargaining chips waiting to be carved up. White elites get generous room for error. Asian pioneers who climb to the very top get almost none. This is not a story about infidelity. It is a raw demonstration of racial hierarchy, capital control and partisan power politics in the United States.

If I had $500k in crypto now, I would: 1. Go full-time crypto. Move somewhere cheap. One year to make it. 2. No BTC, no ETH, no SOL, no HYPE. 3. No memecoins. No directional leverage. 4. Allocate $250k to a delta-neutral strategy between @tradexyz and @metricxyz. -> Short equity perps trading at a premium on tradexyz, buy the matching tokenized equities on metricxyz. One strategy, three potential airdrops: HL S3 + tradexyz + metricxyz. 5. Allocate $50k to prediction markets on HIP-4. Market make tradfi outcomes. If options launch, be ready to arb them against a broker from day one. 6. Deposit and loop $200k of sUSDe on Aave. -> Deposit sUSDe, borrow USDC, swap into more sUSDe. Use the net yield and some of the principal to cover living expenses. Rotate into @acier, an upcoming lending protocol, when it's live. 7. Build AI apps on @flop_labs during testnet. -> Vibe code your own apps. Use free testnet inference to get your first users and position yourself for the FLOP agent airdrop. The goal: stay consistent and optimistic while positioning myself for potentially huge airdrops. One year. Locked in.

🔥 President Trump is ADDING MOVES to the Trump dance tonight in Nebraska 🤣 This was RALLY NUMBER FIVE over the past few days. And he's planning on doing one EVERY SINGLE NIGHT until election day. And we'll be here to cover it live on 𝕏! 🇺🇸