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Charlie McElligott, cross-asset strategist at Nomura Securities, pointed out that hyperscale cloud providers' AI capital expenditure has fallen into a dilemma: continuing to accelerate will pressure free cash flow, while a substantial slowdown would mean AI demand and earnings expectations break down—both paths point to AI assets being sold off. In the most violent single-day selloff of the past week, 47 of the 124 US equity long-short pairs monitored by Nomura moved more than 3 standard deviati

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Ohio Wesleyan University President Matt vandenBerg argues that in the AI era, 17-year-olds should not be forced to choose a major too early; instead, they should be allowed to explore and change direction. An April study by Lumina Foundation-Gallup shows that 47% of currently enrolled college students have seriously considered changing majors because of AI's impact on employment, and 16% have already changed majors. The university therefore allows students to declare a major only in their sophom

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The SemiAnalysis engineering team benchmarked the native PyTorch training stack TorchNeuron and TorchTitan on Trainium3, training Qwen3-32B on 16 Trainium2 chips; eager mode reached 11,099 tokens/s and 23.89% MFU, while compiled mode reached 14,156 tokens/s and 30.47% MFU. The author considers the Neuron Explorer profiler superior to Nvidia's and AMD's solutions, but first-time compilation takes too long: the first-step compilation for the gpt-oss training recipe took 27 minutes 17 seconds. Flex

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Chip-collateralized financing began in 2023 when Blackstone provided $2.3 billion in private credit to CoreWeave; now Broadcom is in talks with Wall Street institutions to arrange $60 billion in chip financing for Anthropic, while Nvidia announced a $500 billion cooperation framework with six major lenders. JPMorgan analysts estimate total chip spending could exceed $3 trillion before 2030, most of which will rely on debt financing. The article also notes that such deals are mostly private in na

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AWS has published a practical guide for multi-turn reinforcement learning (MTRL) on Amazon SageMaker AI. Using Wordle as an example, it deploys the agent and reward function to Amazon Bedrock AgentCore, and the training job updates LoRA adapters via GRPO. In the example, gpt-oss-20b at default reasoning effort improved its solve rate on held-out words from 61% to 84%, at a training token cost of about $339 and an AgentCore runtime cost of about $79. The article also details failures such as two

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In its 2026 comparison article, Databricks argues that its open lakehouse architecture stores 100% of customer data with Delta Lake and Apache Iceberg, unifying BI, ETL, stream processing, ML and AI, whereas Oracle uses proprietary formats and relies on PL/SQL and Exadata. Databricks separates storage and compute; SQL Serverless warehouses cost nothing when idle and are billed per second; Oracle bills by ECPU and autoscales up to 3x base capacity, making costs harder to predict. Databricks also

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Anthropic releases proactive AI agent Claude Duet, based on Claude Opus 5.5, running in a virtual machine with an independent browser, able to monitor email, calendars, and business software on its own and handle tasks in the background. The service is first available in preview to Pro and Max subscribers in the United States, requires joining a waitlist, and can be used via the iOS and Android apps and claude.ai. Duet connects to more than 6000 connectors and plugins, including Gmail, Slack, Qu

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Microsoft's research team published in the journal Science an AI diagnostic tool powered by GPT-5, which achieved a diagnostic accuracy of about 83% on complex cases selected from the New England Journal of Medicine, compared with about 36% for general practitioners with reference materials and about 22% without them. Through a mechanism called the "Diagnostic Coordinator," the tool simulates multiple clinical experts analyzing cases collaboratively, deciding step by step which medical history t

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Warp Sciences, an AI scientific research startup founded by former OpenAI Chief Product Officer Kevin Weil, has emerged from stealth, completing a $215 million Series A funding round at a post-money valuation of $865 million, led by Lightspeed Venture Partners. The company, founded in San Francisco with a team of about 20 people, plans to use AI, robotics, and automated laboratories to help pharmaceutical companies screen molecular variants in drug development, without developing drugs itself. T

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The two authors, who headed the EPA under the Biden administration and FERC under the Trump administration, argue that data center development has outpaced regulatory rules, communities are pushing back over electricity costs, pollution, water resources and noise, and grid operators are issuing reliability warnings. They contend that a simple "no" is not the answer; instead, drawing on the historical experience of the 1926 Air Commerce Act, a federal framework should be established that balances

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AI has permeated every earnings call and boardroom deck, with enterprise generative AI spending reaching $30 billion to $40 billion in 2025, yet productivity statistics show almost no change. The only exception is data center construction: in 2025, hyperscalers invested more than $300 billion in data centers, chips, and power grids, which is already counted in GDP as private nonresidential fixed investment. The author believes AI will not take 15 years to show up in productivity data the way com

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Twilio CMO Chris Koehler said that the marketing team's research and personalized content creation for a single customer used to take more than two weeks, but now takes less than a day, and quarterly account-based marketing campaigns increased from 3 to up to 15. He divided enterprise AI implementation into three stages: individual efficiency, team collaboration, and end-to-end autonomy, and said Twilio is currently in the second stage. He also pointed out that brand consistency, data governance

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MiniMax open-sources M3.1 Flash, a 428B-parameter MoE with 23B activated parameters, gaining day-one support from Together, SGLang, vLLM and NVIDIA NeMo. OpenAI's Decisions API is officially available, powered by GPT-6 Luna, with classification and decision speed improved by up to 10x, at an input price of $0.10 per million tokens. Anthropic's Claude models are officially available on Google Cloud, and starting next week, Claude sessions on Pro, Max and Team plans will run in auto mode by defaul

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In a 45-minute conversation, Sam Altman said that OpenAI's not-yet-public models have reached a level in some mathematical research tasks that existing public models find hard to match, and he expects to find the first candidate treatment for a major disease in about two years. He said programmers have not lost their jobs because of AI; instead they are busier, creating greater value and even earning more, because the world's demand for software far exceeds expectations; he himself has not looke

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Google CEO Pichai revealed in the "Sources" interview that Gemini 4 Argon processed about 25 trillion tokens in 72 hours of launch, 3 times that of Gemini 3.0 in the same period, and is still rate-limited due to compute constraints. He explained for the first time the reason for cutting Gemini 3.5 Pro: the team found a gap in the model on Agentic Coding, first used the Flash version to complete intensive iterations from 3.5 to 3.8 in about 3 months, while Argon pretraining had already been compl

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The EU has launched a cloud sovereignty framework, using 48 criteria to assess cloud service providers' degree of sovereignty in legal control, data, operations and supply chains, and plans to extend sovereignty assessments to public-sector cloud services through the Cloud and AI Development Act. In April this year, a European consortium led by Belgium's Proximus won the EU sovereign cloud procurement contract; the Google Cloud technology operated by S3NS that it uses therefore meets the require

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In an October 22 research note, TS Lombard Chief Macro Strategist Dario Perkins projected that the AI capital expenditure boom could end in early 2028, with the S&P 500 falling 30%, tech stocks plunging 40%, and about $20 trillion in market value evaporating. The report argues that current AI revenue growth mainly comes from the capital expenditure cycle among tech giants and debt financing, and lists six chain-reaction triggers: revenue falling short of expectations, rising credit risk, depreci

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Microsoft announced the launch of its AI diagnostic system, Microsoft AI Diagnostic Orchestrator (MAI-DxO), which simulates a multidisciplinary expert consultation by orchestrating multiple AI agents. In an evaluation based on common cases from U.S. emergency departments using the MIMIC-IV-ED dataset, its diagnostic accuracy was 1.7 times that of human physicians; in a simulated evaluation based on complex cases from The New England Journal of Medicine, it achieved 83% accuracy, compared with 36

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Microsoft announced the launch of the AI diagnostic system MAI-DxO (Microsoft AI Diagnostic Orchestrator), which simulates a multidisciplinary expert consultation of physicians by uniformly orchestrating multiple AI agents. In a simulated evaluation based on complex NEJM cases, its diagnostic accuracy reached 83%, compared with 36% for primary care general practitioners and general internists who could independently consult reference materials; in an evaluation of common U.S. emergency departmen

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