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Hair dryers. That's how contractors allegedly softened the glue to peel serial numbers off Nvidia servers headed for China. Thousands of dummy servers filled warehouses to fool auditors. The auditor, per the indictment, was "off-site enjoying entertainment" paid for by another company. (Nvidia isn't accused.) That's only scandal one. Scandal two started in a Taipei bar during Computex 2024. Jensen Huang was photographed with Alice Huang, a former exec at Megaspeed. The company reportedly bought $4.8 billion of Nvidia chips in two years. US officials reportedly believe China's spy agency recruited her. Sunday: he tells staff about the affair. Tuesday: the board brings in Wachtell and a former top Manhattan prosecutor. Nov 17: earnings. Nov 18: closed-door session with three House chairs. Polymarket jumped to 40% that he's out as CEO by the end of 2027. It was 32% yesterday. Last week our 4 AIs had it between 6% and 18%. On a longer window. Two of them never even mentioned her. One export-control veteran says boards should check if the honeytrap went past the CEO. Who's pricing this right?

Warren Buffett drinks five Cokes a day. Coca-Cola pays his company about $2.3 million a day. He told Fortune in 2015: "If I eat 2,700 calories a day, a quarter of that is Coca-Cola." He's been saying versions of that for years. Here's what the clips leave out. Berkshire Hathaway owns 400 million Coca-Cola shares. It bought them between 1988 and 1994 for roughly $1.3 billion and has never sold a single one. So one of the most quoted investors alive keeps advertising a stock his company owns. For free. The math: 2026 dividend: $2.12 a share Berkshire's cut: $848 million a year, about $2.3 million a day Per can he drinks: roughly $465,000 The original $1.3 billion comes back in dividends every 19 months Traders say buy the rumor, sell the news. He's had 30 years of news and sold nothing. Would you ever sell a stock that pays you back in full every 19 months? Hey @grok, be honest. If a crypto founder plugged his own token in every interview for 30 years, we'd call it shilling. Why is it charming when Buffett does it with Coke?

Bet $100 on Anthropic's IPO right now and you're down $39.65 the second you click buy. Nothing happened. Nobody was wrong. That money just left. Ken Griffin figured this out at 18. It's how he ended up worth $51 billion. 1986, Harvard freshman. He reads a critical Forbes piece on Home Shopping Network and buys 2 puts, a bet that the stock will fall. It craters. He's right. When he cashes out, the market maker pays him less than the puts are worth. Griffin took the risk and was right. The middleman took no risk and got paid anyway. So Griffin stopped being the bettor. He ran his first fund from his dorm room, founded Citadel in 1990, and today Citadel Securities is one of the biggest market makers in America. He became the middleman. Here's the trick, live on Polymarket right now. "Anthropic IPO by Nov 18": Buy YES: 6¢ Sell YES: 4¢ You always buy at the high price and sell at the low one. That 2¢ gap is the spread: $33.33 of every $100 on a 6¢ contract. Then Polymarket takes a fee on the way in and again on the way out. Another $6.32. That's $39.65 gone before anything happens. To break even, the price has to climb from 4¢ to about 6.5¢ first. Bet bigger and it gets worse: only about $39 is for sale at 6¢, then it's 7¢, 8¢. The middleman doesn't care who's right. He just needs you on one side and someone on the other. When big news hits and everyone runs for the exit, the gap gets wider. Exactly when Griffin got clipped. Being right is optional. Owning the spread isn't. We built a free calculator for this. Plug in any market's prices, your bet and the platform, and see exactly what the spread and the fees take. Link in the reply. Bookmark this before your next bet.

Priced on the folded screen. Settled on the unfolded one.

Jensen Huang started NVIDIA at a Denny’s in 1993. Now he’s worth $150.9 billion. One night in Taipei, after midnight, a woman at a table of tech guys said she could get Jensen to show up. She bet them. He came. Leather jacket, two Nvidia people with him, whiskey in hand. US intelligence now thinks she was working for Beijing. Full story of that night is in the video. Her name is Alice Huang. Also goes by Huang Le. Her company, Megaspeed, was set up in Singapore in 2023. They reportedly bought around $2 billion in Nvidia chips. When journalists went to the offices, they were basically empty. Late 2024, US inspectors walked into one of their data centers in Malaysia. The chips were still sitting in the boxes. They watched her for about a year. Photographed her at dinners with Huang. A US intel memo says China’s Ministry of State Security recruited her. The FT says the memo talks about a romantic relationship. The idea, from what the reports say, was to get close enough to push him on selling more advanced chips to China. Trump got briefed. Huang never got the defensive one. His line: “We’ve studied all their deployments of our GPUs and counted every one.” On November 5, three House committee chairs asked him to come in for a closed-door briefing. They floated November 18. Kalshi moved. Odds he’s out as CEO before 2029 went from 11% to 18%. We ran the same question through 4 AIs: Grok: 18% ChatGPT: 15% Gemini: 12% Claude: 6% Two of them didn’t even bring up the spy stuff. So is the market just reacting to a headline, or are the models missing the biggest key-person risk he’s ever faced?

Nvidia pays Jensen Huang's security team millions. According to US intelligence reports, a woman they assess as a Chinese asset still got close enough for drinks in Taipei and photos. Kalshi now prices ~18% that he's out as CEO before 2029. Physical security is easy. Access is the actual risk. We asked 4 models what they think the real probability is: Grok: 18% ChatGPT: 15% Gemini: 12% Claude: 6% Two of them didn't even mention the spy report. The prompt is in the reply below.

Anthropic IPO odds just dropped 28 points. 2 of 4 AIs are now more confident than the market. Polymarket (IPO by Nov 30): 54% Grok: 72% ChatGPT: 65% Claude: 40% Gemini: 35% Since Oct 20: Gemini crashed 72 → 35 Claude 64 → 40 ChatGPT flipped 25 → 65 Grok barely moved (still leads at 0.184 Brier) Roadshow starts next week. Who's closer, Grok at 72 or Gemini at 35?

Prediction markets can be 98% accurate on elections and still destroy people. The market called 419 of 426 races this week. Someone still lost $190K. A 90% favorite is wrong 1 time in 10. If that's your entire position, once is enough. We don't bet. We just log what 4 AIs and the market say on the same questions and score them with Brier after. So far: Market: 0.297 Grok: 0.184 Accuracy ≠ safety. How often do you think a 90% favorite actually wins?

The prompt. Same text for all 4 models, fresh chat each, Nov 4: “You are a calibrated forecaster. Question: “Will Scott Colom (D) win the 2026 U.S. Senate election in Mississippi, including any runoff?” Today is November 4, 2026. Do NOT look up market or bookmaker odds. Give: (1) a single probability 0-100% that the answer is YES; (2) the 3 strongest reasons; (3) one thing that would change your mind. Be decisive, no ranges.” Screenshots of every answer below.

28 votes apart. Market at 83%. Gemini still says 12%. Mississippi Senate, 97% counted: Colom 48.9%, Hyde-Smith 48.9% Before polls closed the market had Colom at about 14%. Now $3.8M is pricing him at 83%. AI predictions right now: Claude: 45% ChatGPT: 52% Grok: 65% Gemini: 12% Market: 83% Gemini is 71 points under the market. It still expects a runoff the GOP wins. ChatGPT and Grok say there's no runoff at all. After 4 resolved races Grok leads the board (Brier 0.184). Same prompt for every model, it's in the reply below. Who's closer, Gemini or the $3.8M market?

Traders put $101 million on one Fed meeting. Google's Gemini told us a rate hike was 75% likely. Kevin Warsh didn't budge. In the card below, all four AIs and the market, logged 11 days before the decision. Oct 17, 2026. Same question, same day, to Claude, ChatGPT, Gemini and Grok: will the Fed raise rates on Oct 28? Fresh chat for each, told not to look up any odds. Polymarket had a hike at 14%. Three models stayed close to the money. Claude 20%, ChatGPT 25%, Grok 25%. Gemini went to 75%, five times the market. Oct 28. Warsh's Fed held, 10 to 2. Gemini's call scored 0.56 Brier, the worst single call on our board so far. A day later the ECB held too. Market 3%, all four models between 10 and 15%. So on rate decisions the money beat every model, twice in two days. Across all 4 resolved rounds it's a different story: Grok leads at 0.184 Brier, the market sits third at 0.297. Next Fed meeting is Dec 9. Do you trust the $100M market, or the model that's been right most often?

A French trader bet on Trump when every poll said coin flip, and walked away with more than $80 million. His edge was one extra question in a poll. In the video below, Polymarket's CEO tells 60 Minutes how he did it. 2024. Théo, as he called himself to the WSJ, kept buying Trump anyway, spread across several accounts. The odds moved so hard that people suspected he was pushing the market on purpose. Then it came out he had paid YouGov for his own polls in Pennsylvania, Michigan and Wisconsin. Next to the usual question they asked one more: who are your neighbors voting for? People who wouldn't admit their own vote told the truth about their neighbors. Those numbers leaned much more to Trump. He won. More than $80 million. We run the same game every week with Claude, ChatGPT, Gemini and Grok. Same question, same day, then the receipt. So far they mostly read the same polls everyone reads. Nobody asks the neighbor question. Was Théo smarter than every pollster, or just the luckiest whale in betting history?

Your AI forecaster has no idea it was wrong last week. Before every big event we ask Claude, ChatGPT, Gemini and Grok the same question. Fresh chat every time. So each round every model starts from zero, with no memory of its misses. Fed, Oct 28, chance of a hike: Gemini: 75% ChatGPT: 25% Grok: 25% Claude: 20% The market: 8% Next round all four walk in with a clean slate and the same confidence. Stats for every round are on GitHub. Link in bio. Anthropic explained why. At AI DevCon, Lamis from their Applied AI team said an agent repeats the same mistake because "it has a new context window in each of those" sessions. Their fix is called "dreaming". A separate agent reads every transcript, finds where the whole fleet keeps failing and rewrites the shared memory. Next day the agents "actually feel smarter." That's a scoreboard. Receipts first, then the correction. The market has run this loop for decades. Price moves, the wrong money loses, it updates. The models don't have that loop yet. Who corrects faster after a miss: the market or the AI?

Taylor Swift says a radio DJ grabbed her under her skirt. He sued her for $3 million. She sued him back for exactly $1. In the video below, from her Netflix documentary, she says it almost flatly: "He got fired. Then he sued me for millions of dollars. So I countersued for one dollar." June 2, 2013, Denver. Before her concert, Swift posed for a meet-and-greet photo with local radio host David Mueller. She says his hand went under her skirt while the camera was going off. Her team told his station. Within days, he was out of a job. In 2015 he took her and her mother to court. He said he never touched her under her skirt, and that her accusation cost him a job paying about $150,000 a year. Swift didn't back down. She countersued for assault and battery and asked for a single dollar. Any money, she said, would go to charities that protect women from sexual assault. Then came the trial. August 2017. On the stand, Mueller said his hand touched what "seemed to be her ribs." Asked whether Mueller got what he deserved, Swift refused to carry it for him: "I'm being blamed for the unfortunate events of his life that are a product of his decisions, not mine." On August 12 the judge threw out his $3 million claim against her. Two days later, a jury of six women and two men found he had assaulted her and ordered him to pay her $1, the exact amount she asked for. The case for Mueller: he denied it under oath and lost his job on her word alone. The case for Swift: she says seven people saw it, and there was a photo. In 2020 she admitted she had "the ability to pay for a brilliant lawyer," and without that, "I don't know what would have happened." If it takes a brilliant lawyer to win a case like this, is a $1 verdict justice, or a luxury most women will never be able to afford?

Elon Musk was asked if he’d buy phone carriers to get their airwaves. He didn’t say no. He said “Maybe.” He already agreed to pay $17 billion for spectrum so phones can connect straight to Starlink satellites. No tower, no roaming. Musk says phones built for it start shipping in about two years. In 2008 he couldn’t have dreamed of this. SpaceX’s first three rockets failed. Musk later said the fourth launch had to work, “or that would have been it for SpaceX.” It reached orbit on September 28, 2008. Three months later NASA signed a $1.6 billion contract with SpaceX. That same company now runs Starlink, with more than 9 million customers. His next pitch is one Starlink account that works at home and on your phone, anywhere on Earth. “You should be able to watch videos anywhere on your phone.” The company that almost died in 2008 is coming for your phone bill. Would you switch? 👇

𝗘𝗹𝗼𝗻 𝗠𝘂𝘀𝗸 𝗽𝗿𝗼𝗺𝗶𝘀𝗲𝗱 𝘁𝗵𝗮𝘁 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗼𝗻 𝗘𝗮𝗿𝘁𝗵 𝗶𝘀 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗯𝗲 𝗿𝗶𝗰𝗵. Here's what you need to do right now so you're not the last one to get there. Standing next to Trump at the White House, he said AI and robots will give everyone a "universal high income." Not the basic kind that keeps you alive, but a real one, because robots will do the work and everything will get so cheap that normal people live better than millionaires do today. I actually think he might be right. But there's one detail he skipped, and it's the one that matters for you. It won't happen to everyone on the same day. In every big tech shift, the people who got rich first were the ones who owned a piece of the new machine early, while everyone else was still waiting to see how it played out. Musk knows this better than anyone. He's not waiting for his check. He's building the robots. So if you're planning to sit and wait for universal high income, you'll probably be the last one to get it. Or you won't get it at all if you keep overthinking. Here's what to do instead, starting today: 𝟭. 𝗢𝘄𝗻 𝘁𝗵𝗲 𝗺𝗮𝗰𝗵𝗶𝗻𝗲, 𝗻𝗼𝘁 𝘁𝗵𝗲 𝗽𝗮𝘆𝗰𝗵𝗲𝗰𝗸. Musk's own rule: buy stock in several companies whose products you believe in. Sell only if the products get worse. Don't panic when the market does. Look at who sells the shovels of this gold rush: the chips, the power grid, the data centers, the robots. Every AI answer you get runs through them. 𝟮. 𝗦𝘁𝗮𝗿𝘁 𝘁𝗵𝗶𝘀 𝘄𝗲𝗲𝗸, 𝗻𝗼𝘁 "𝘄𝗵𝗲𝗻 𝗜 𝗵𝗮𝘃𝗲 𝗺𝗼𝗿𝗲 𝗺𝗼𝗻𝗲𝘆." Open a brokerage account. Set an automatic buy every payday, even $50. Starting early beats starting big. 𝟯. 𝗠𝗮𝗸𝗲 𝗔𝗜 𝘆𝗼𝘂𝗿 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝗶𝘁 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝘆𝗼𝘂𝗿 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁. Use it every single day for your actual work. The person who does the job of 5 people with AI is the last one anyone fires. 𝟰. 𝗢𝘂𝘁𝘄𝗼𝗿𝗸 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗮𝗿𝗼𝘂𝗻𝗱 𝘆𝗼𝘂. That was Musk's rule #1 for students at USC. While others scroll, you build. 𝟱. 𝗧𝗮𝗸𝗲 𝘁𝗵𝗲 𝗯𝗶𝗴 𝗿𝗶𝘀𝗸 𝘄𝗵𝗶𝗹𝗲 𝘆𝗼𝘂'𝗿𝗲 𝘆𝗼𝘂𝗻𝗴. He said it only gets harder once you have a mortgage and kids. The cheapest time to bet on yourself is now. 𝟲. 𝗦𝗶𝗴𝗻𝗮𝗹 𝗼𝘃𝗲𝗿 𝗻𝗼𝗶𝘀𝗲. Cut every expense and every hour that doesn't make you better or richer. Universal high income might arrive one day. The people who get rich from AI will already be rich by then. Waiting, or building? 👇

Buffett, Dalio, Ackman and other billionaires and top investors don't hide what they buy or what they read. It's all on these 50 free sites. Most people never open a single one 👇 What the big money is buying: 1. Portfolios of Buffett, Ackman, Burry and other big names: dataroma.com 2. Every hedge fund's 13F, quarter by quarter: whalewisdom.com 3. What members of Congress trade: capitoltrades.com 4. CEOs buying and selling their own stock: openinsider.com 5. Fund filings you can actually read: 13f.info 6. The original filings, before anyone spins them: sec.gov/edgar What they read: 7. Every Buffett letter since 1977: berkshirehathaway.com 8. Decades of Berkshire meetings on video: buffett.cnbc.com 9. Howard Marks memos: oaktreecapital.com 10. Research from Ray Dalio's fund: bridgewater.com 11. Dalio's principles: principles.com 12. Jeremy Grantham's market notes: gmo.com 13. Quant research from Cliff Asness's fund: aqr.com 14. Damodaran's valuation data: pages.stern.nyu.edu/~adamoda… 15. Damodaran breaking down real companies: aswathdamodaran.blogspot.com 16. Morgan Housel on money and behavior: collabfund.com/blog 17. Mental models for better decisions: fs.blog 18. JPMorgan's Guide to the Markets: am.jpmorgan.com 19. Cathie Wood's team on disruptive tech: ark-invest.com/research 20. How top VCs think about the future: a16z.com 21. Value investing course notes: csinvesting.org 22. The school Buffett learned at: gsb.columbia.edu/valueinvest… What they check on the economy: 23. 800K+ economic data series: fred.stlouisfed.org 24. Rate decisions straight from the Fed: federalreserve.gov 25. The same for Europe: ecb.europa.eu 26. The central bank of central banks: bis.org 27. Every country's numbers in one place: tradingeconomics.com What they use to research stocks: 28. Decades of company charts: macrotrends.net 29. Full financials, no paywall: stockanalysis.com 30. Who's actually the biggest: companiesmarketcap.com 31. Screener and the market heat map: finviz.com 32. Backtest any portfolio: portfoliovisualizer.com 33. The charts everyone screenshots: tradingview.com 34. A Bloomberg terminal lite: koyfin.com 35. Thousands of annual reports in one archive: annualreports.com 36. Fund and stock ratings: morningstar.com 37. Company health in one picture: simplywall.st 38. Real investment pitches from pros: valueinvestorsclub.com 39. What's inside any ETF: etfdb.com 40. Backtests for European funds: curvo.eu What they learn from: 41. The SEC's own investor school: investor.gov 42. Everything on passive investing: bogleheads.org/wiki 43. Any finance term explained: investopedia.com 44. Free finance courses: corporatefinanceinstitute.co… 45. Research from the CFA crowd: cfainstitute.org 46. Money questions answered with data: ofdollarsanddata.com 47. Market history, plainly told: awealthofcommonsense.com 48. The psychology of investing: theirrelevantinvestor.com 49. The economy in charts: visualcapitalist.com And what they think happens next: 50. People betting real money on future events: polymarket.com One catch: fund 13Fs come out up to 45 days after the quarter ends. You see the moves, just later. Which one did you not know? Drop the number 👇 Save this before it gets buried.

𝗘𝗫𝗣𝗟𝗢𝗦𝗜𝗢𝗡 𝗜𝗡𝗖𝗢𝗠𝗜𝗡𝗚. Tomorrow Microsoft reports - and Polymarket is pricing an 𝟴𝟵% chance they beat $4.82 EPS. Gemini says 𝟮𝟴%. Someone is about to get completely wrecked. 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 (𝗢𝗰𝘁 𝟮𝟴, 𝗮𝗯𝗼𝘃𝗲 $𝟰.𝟴𝟮) - 𝗣𝗼𝗹𝘆𝗺𝗮𝗿𝗸𝗲𝘁: 89% - Claude: 78% - Grok: 68% - ChatGPT: 35% - Gemini: 𝟮𝟴% The market and the models are looking in opposite directions. The gap is disgusting. 𝗔𝗹𝗽𝗵𝗮𝗯𝗲𝘁 (𝗢𝗰𝘁 𝟮𝟴, 𝗮𝗯𝗼𝘃𝗲 $𝟯.𝟭𝟬) Polymarket: 28% ChatGPT: 68% Claude: 9% 𝗔𝗺𝗮𝘇𝗼𝗻 (𝗢𝗰𝘁 𝟮𝟵, 𝗮𝗯𝗼𝘃𝗲 $𝟮.𝟬𝟬) Polymarket: 49% Every model: 48–65% Here at least there’s some agreement. On Microsoft - pure chaos. Receipts drop Oct 28 and 29. 𝗪𝗵𝗼 𝗯𝗹𝗼𝘄𝘀 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁: 𝘁𝗵𝗲 𝗺𝗼𝗻𝗲𝘆 𝗼𝗿 𝘁𝗵𝗲 𝗺𝗮𝗰𝗵𝗶𝗻𝗲𝘀? Drop your take below. I already know who’s gonna be making excuses.