Rich Newbold (@drnewbold) header
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Boketto Master. ... (Retweets do not imply endorsement.)

Richmond, CA
Joined March 2009
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Rich Newbold retweeted
Think AI adoption is just a technology challenge? Think again. AI initiatives often require 25% more training and up to 200% more change management effort than traditional technology rollouts. Learn how to prepare your workforce for success: gtnr.it/3XhTkDB
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Rich Newbold retweeted
🚨 日本はスコット・ベッセントが予言した最大の金融悪夢をまさに引き起こそうとしている 日本から非常に危険な発言が飛び出した。 日銀の上田和夫総裁は、インフレ率の上昇をこれ以上容認できないと公式に警告し、利上げは避けられないと述べた。 片山財務大臣は、「必要であれば躊躇なく行動し、必要であれば為替対策も躊躇なく講じる」と述べた。 これは、米国による介入が終結したことを示す、日本からの明確なシグナルである。 なぜか? 日本は、いわゆる「フリーマネー」の時代を終え、破滅的なキャリートレードの解消に着手しようとしていた。日銀と財務大臣は大胆な行動を示唆し、片山総裁は日銀が準備した措置について西側諸国の人々に謝罪さえした。 そして、突然…米国財務長官が直接介入し、日銀の運営を掌握した。 彼は日本が1兆4000億ドル相当の米国債を売却するのを阻止し、代わりにFRBに対しFIMAファシリティを拡大し、日本に米ドルを貸し付けて米国債を売却させ、円安を図るよう警告した。 スコット・ベッセントは円安のためにドルとユーロを売り、自らを「胴元」と称し、トレーダーたちに円の空売りを挑発した。 日本は自国の株式市場を犠牲にすることさえした。日銀はETFの清算額を年間3300億円から8600億円へと161%も加速させると発表したのだ。 日本は1兆4000億ドルという途方もない額の米国債を保有している。 では、なぜこの計画では米国債は影響を受けないのに、日本株は売却されているのだろうか? 米国債を売却すれば、米国債市場に圧力がかかる可能性がある。 しかし、すべては失敗に終わった。 円は介入前の水準まで下落し、現在は160円となっている。 円安が進む一方で、金利は急上昇しており、10年債利回りは2.8%に達している。 日本の株式市場は本日、6月の史上最高値から20%以上下落し、正式に弱気相場入りした。 日本は米国債保有を売却する以外に現実的な選択肢はない。 残念ながら、日本のユート氏の警告は現実のものとなりつつある。 これは米国の金利、AIサイクル、民間信用市場、そして最終的には金融システム全体に壊滅的なドミノ効果をもたらす流動性ショックを引き起こすだろう。 👇JFKジュニアが帰ってきた!今、ここで投稿中! t.me/JFK_Q17 ✅️
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Rich Newbold retweeted
THE IMF HAS FLAGGED $1.4 TRILLION IN CIRCULAR AI DEALS. Big Tech is funding its own customers so they can keep buying from Big Tech. Here is every known AI circular financing loop right now: 1. Nvidia ↔ OpenAI: Nvidia invested $30 billion in OpenAI and guarantees up to $105 billion of its Ohio data center leases. OpenAI fills those data centers with Nvidia chips. 2. Oracle ↔ OpenAI: OpenAI signed a $300 billion cloud deal with Oracle. Oracle is borrowing heavily to build the data centers for it. 3. Microsoft ↔ OpenAI: Microsoft owns about 27% of OpenAI. OpenAI committed $250 billion to Microsoft's Azure cloud. 4. SoftBank ↔ OpenAI: SoftBank invested $64.6 billion in OpenAI. OpenAI rents data centers from SoftBank's SB Energy. 5. Amazon ↔ OpenAI: Amazon is investing up to $50 billion in OpenAI. OpenAI expanded its Amazon cloud deal by $100 billion. 6. AMD ↔ OpenAI: AMD gave OpenAI the right to buy up to 160 million AMD shares for $0.01 each. In return, OpenAI buys AMD chips. 7. Google ↔ Anthropic: Google is investing up to $40 billion in Anthropic. Anthropic committed at least $121 billion to Google Cloud. 8. Amazon ↔ Anthropic: Amazon is investing up to $33 billion in Anthropic. Anthropic committed at least $110 billion to Amazon's cloud. 9. Broadcom ↔ Anthropic: Banks lent $63 billion to a special company that buys Broadcom chips and leases them to Anthropic. Broadcom backs the chips' resale value. 10. Microsoft + Nvidia ↔ Anthropic: They are investing up to $15 billion combined. Anthropic committed at least $44.9 billion to Microsoft's cloud. 11. SpaceX ↔ Anthropic: SpaceX borrowed $40 billion to buy Nvidia chips and sells the computing power to Anthropic. Nvidia is a SpaceX shareholder. 12. Nvidia ↔ CoreWeave: Nvidia owns about 11% of CoreWeave and agreed to buy $6.3 billion of its unused capacity. CoreWeave buys Nvidia chips. 13. Nvidia ↔ neoclouds: Nvidia agreed to buy $36 billion of cloud capacity from smaller AI cloud companies. They use that guaranteed income to borrow and buy Nvidia chips. 14. Microsoft ↔ Nscale, Nebius, IREN: Microsoft signed up to $70.9 billion in contracts with them. They use the money to buy GPUs. 15. Google ↔ former bitcoin miners: Google guarantees billions in leases at TeraWulf and Cipher and gets their shares in return. 16. Meta ↔ Blue Owl: A $27.3 billion data center was built through a joint company, with Meta backing it with a $28 billion guarantee. 17. Anthropic IPO: Its chip and cloud suppliers, Nvidia, Google, AMD, Micron, Broadcom and Microsoft, are buying $26 billion of its shares. Anthropic owes those same companies hundreds of billions in future spending. When money keeps flowing, these loops make everyone's revenue look strong.
🚨 Another major scandal is coming out of NVIDIA. And this one has nothing to do with Jensen Huang's affairs. According to a Wall Street Journal report, Nvidia was offering billions in financial guarantees to AI companies that could not afford its chips, so they could keep buying them. Some of these deals were being pushed by Jensen's own son-in-law, Nico Caprez, who became a vice president in January. His team was telling small cloud companies and data center builders that Nvidia could arrange credit support for them within a couple of weeks. The goal was simple: turn them into long term buyers of Nvidia GPUs. And the size of Nvidia's commitments has exploded. Its own filing shows $530 BILLION in commitments and guarantees, up from $184 billion just one quarter earlier. Inside the company, CFO Colette Kress was raising concerns. She kept asking how these guarantees were priced and what Nvidia was really getting back. In an August meeting, Jensen cut her off and called her "a deer in the headlights." She was also the one who cut Nvidia's guarantee on OpenAI's Ohio data center from $250 billion to $105 billion. Now Jensen is gone, and the CFO who questioned these deals is running Nvidia. To understand why this is a big deal, you need to understand the AI funding loop. Here is how it works: 1. Nvidia puts money into an AI company, or guarantees its loans and leases. 2. That company uses the money and credit to build a data center. 3. The data center is filled with Nvidia GPUs. 4. Nvidia reports those GPU sales as revenue. 5. If the company cannot rent out all its computing power, Nvidia agrees to buy the unused part. SO NVIDIA IS THE INVESTOR, THE LENDER, THE SUPPLIER AND THE BACKUP CUSTOMER, ALL IN THE SAME DEAL. The money goes out of Nvidia and comes back to Nvidia as sales. CoreWeave is the clearest example. Nvidia owns a stake in it, sells it chips, and agreed to buy up to $6.3 billion of its unused computing capacity through 2032. OpenAI is the biggest. Nvidia is guaranteeing up to $105 billion for its Ohio data center, supplying all the chips inside it, and invested $1.5 billion in the company building it. Nvidia's own filing for the quarter ending July 26 shows where the money is tied up: • Supply commitments for memory and chip wafers: $279 BILLION, up from $119 billion. • Guarantee on the OpenAI Ohio data center: up to $105 BILLION. • Deals to buy unused cloud capacity from neoclouds: $36 BILLION. Nvidia's actual liabilities on its balance sheet: $91 BILLION. That means the commitments outside the balance sheet are almost 6 times bigger than the debts on it. Nvidia does not lose this money unless something breaks. A guarantee only costs Nvidia if a customer cannot pay. But this is where it gets uncomfortable. The WSJ says Jensen himself had started to panic. He warned executives that the biggest cloud companies were moving to their own chips to depend less on Nvidia. At the same time, the wafers and memory Nvidia had committed to buy were coming at him like an "avalanche." So the biggest customers were trying to leave, Nvidia was locked into buying huge amounts of supply, and smaller customers were being kept alive with Nvidia's credit. And things were already starting to crack: • Nvidia paused some of its financing deals in August. • Nearly half of the $80 billion in data center bonds issued this year were rated junk. • Neocloud stocks crashed this week, with Nebius down over 20% and CoreWeave down 17% at the lows. • OpenAI raised less than it wanted, at a lower valuation. And now Kress is the one deciding whether this continues. If she pulls back on the financing, the companies that depended on Nvidia's money will have to borrow elsewhere, in a debt market that is already nervous. If they cannot, they stop buying chips. And if they stop buying chips, Nvidia's revenue drops. That is the risk of a loop. It works perfectly when money keeps flowing, and it hurts on the way down.
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Rich Newbold retweeted
Adhara Pérez Sánchez, a young prodigy from Mexico, has captivated the world with her remarkable intellect and extraordinary achievements. With an IQ of 162, higher than those estimated for Albert Einstein and Stephen Hawking, Adhara was diagnosed with autism at age three. She faced significant challenges in traditional schooling, including bullying, until her mother enrolled her in the Center for Attention to Talent, where her exceptional abilities were finally recognized and supported. Adhara’s academic journey is astonishing: she finished elementary school at age five, middle school at six, and high school at seven. She went on to earn bachelor’s degrees in Systems Engineering and Mathematics Engineering, and at just 11 years old, she received a master’s degree in Industrial Engineering with a focus on Mathematics from the National Polytechnic Institute, becoming the youngest person in Mexico to achieve this feat. Beyond academics, Adhara has been named one of Mexico’s most powerful women by Forbes. She has also authored a book titled Don’t Give Up, in which she shares her experiences living with autism and inspires other children to chase their dreams. Her ultimate ambition is to become an astronaut with NASA and contribute to future missions to the Moon and Mars.
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