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  5. Huxiu

    $1.65 Trillion in Off-Balance-Sheet Commitments and a 166-Fold Token Price Gap: Three Endgame Scenarios for the AI Capital Game

    The author reviewed the financial reports of the five major U.S. tech giants and found that more than 85% of Alphabet's and Amazon's quarterly profits come from unrealized gains on equity investments; their combined off-balance-sheet long-term purchase and lease commitments total approximately $1.65 trillion, already exceeding on-balance-sheet liabilities. Capital expenditure by the five giants is projected at $769.2 billion in 2026, while annual AI application revenue is about $200 billion, leaving a gap of roughly 5 times. After comparing China-U.S. pricing, the author notes that OpenAI charges $30 per million output Tokens while DeepSeek charges only $0.18, a price gap of 166 times, and concludes that the most likely endgame is that one node runs into trouble first and the problem then propagates through the chain of cross-shareholdings.

    ities. Capital expenditure by the five giants is projected at $769.2 billion in 2026, while annual AI application revenue is about $200 billion, leaving a gap of roughly 5 times. After comparing China-U.S. pricing, the author notes that OpenAI charges $30 per million output Tokens while DeepSeek charges only $0.18, a price gap of 166 times, and concludes that the most likely endgame is that one node runs into trouble first and the problem then propagates through the chain of cross-shareholdings.

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    #hot-signal#English text is being prepared.#Industry news#OpenAI

Friday

  2. Ed Zitron long-form article / Where’s Your Ed At

    Junk Bond Guide: How AI Data Centers Are Pushing the High-Yield Bond Market Toward a New Bubble

    AI labs need $50 billion to $100 billion per year in high-yield bond, private credit, and leveraged loan issuance, while the companies building AI data centers mostly have very low or no credit ratings. CoreWeave alone, according to UBS estimates, will need to borrow $102 billion by 2030; hyperscalers are expected to issue $400 billion in bonds in 2027, exceeding the roughly $250 billion in total investment of the 1800s railway bubble adjusted for inflation. S&P Global warns that OpenAI is a key credit risk for Oracle, accounting for about half of its $638 billion RPO.

    te credit, and leveraged loan issuance, while the companies building AI data centers mostly have very low or no credit ratings. CoreWeave alone, according to UBS estimates, will need to borrow $102 billion by 2030; hyperscalers are expected to issue $400 billion in bonds in 2027, exceeding the roughly $250 billion in total investment of the 1800s railway bubble adjusted for inflation. S&P Global warns that OpenAI is a key credit risk for Oracle, accounting for about half of its $638 billion RPO.

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    #ai-news#Industry news#OpenAI#English text is being prepared.
  3. Arena

    Arena releases Alignment Index, GPT-6.1-Sol tops with 87.9 points

    Arena.ai launched the Arena Alignment Index, which measures the safety and alignment performance of agents in real-world use based on over 90,000 real agent sessions across 27 models. The index tracks three signals: Unauthorized Action (UA), False Attribution (FA), and Deceptive Completion (DC). The leaderboard shows OpenAI's GPT-6.1-Sol in first place with 87.9 points, followed by Anthropic's Claude-Opus-5.5 with 83.2 points, and SpaceXAI's Grok-4.7 in third with 82.7 points; OpenAI also had the lowest observed rates on the three signals, at 0.89%, 1.98%, and 2.34%, respectively. Arena said unauthorized actions are rare but can have serious consequences, that misalignment risk rises as conversations grow longer, and that it will gradually add more safety signals and models.

    90,000 real agent sessions across 27 models. The index tracks three signals: Unauthorized Action (UA), False Attribution (FA), and Deceptive Completion (DC). The leaderboard shows OpenAI's GPT-6.1-Sol in first place with 87.9 points, followed by Anthropic's Claude-Opus-5.5 with 83.2 points, and SpaceXAI's Grok-4.7 in third with 82.7 points; OpenAI also had the lowest observed rates on the three signals, at 0.89%, 1.98%, and 2.34%, respectively. Arena said unauthorized actions are rare but can ha

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    #editorial#English text is being prepared.#Evaluations / benchmarks#Safety / alignment