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Saturday

  1. 36Kr · AI

    SoftBank CDS rises to 432 basis points, Masayoshi Son continues to increase AI investment

    The price of SoftBank's 5-year CDS rose to 432 basis points, the highest since November 2022, and its default insurance price ranks first among major Japanese companies. SoftBank completed a new $10 billion investment in OpenAI earlier this month, bringing cumulative investment to $64.6 billion, and issued bonds with coupons as high as 9.75% to raise funds. The article also mentions the rising scale of CDS trading by AI-related companies, as well as the debt and computing power expenditure pressure of companies such as Anthropic and CoreWeave.

    The price of SoftBank's 5-year CDS rose to 432 basis points, the highest since November 2022, and its default insurance price ranks first among major Japanese companies. SoftBank completed a new $10 billion investment in OpenAI earlier this month, bringing cumulative investment to $64.6 billion, and issued bonds with coupons as high as 9.75% to raise funds. The article also mentions the rising scale of CDS trading by AI-related companies, as well as the debt and computing power expenditure press

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  2. gihyo.jp

    AI accelerates cyberattacks; Anthropic, OpenAI, Microsoft and others disclose defense and agent control developments

    gihyo.jp reviews multiple releases and reports from late October, organizing AI-era defense challenges along two lines: vulnerability remediation implementation and permission management. Anthropic Deputy CISO Jason D. Clinton says that within about 18 months, high cyber capability will spread to small, cheap models, but fixes still need to be applied to running systems. The article cites OpenAI's discovery of Brotli's CVE-2026-111497 during testing in an isolated environment, and introduces remediation and credential control solutions such as AWS Continuum, Google Agent Compute Engine, and 1Password for Agents, as well as Microsoft's report on Storm-0940 using AI to automate attacks.

    gihyo.jp reviews multiple releases and reports from late October, organizing AI-era defense challenges along two lines: vulnerability remediation implementation and permission management. Anthropic Deputy CISO Jason D. Clinton says that within about 18 months, high cyber capability will spread to small, cheap models, but fixes still need to be applied to running systems. The article cites OpenAI's discovery of Brotli's CVE-2026-111497 during testing in an isolated environment, and introduces rem

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  3. Huxiu

    Unprecedented trillion-scale investment—is NVIDIA the only winner?

    Huxiu reviews the global AIDC construction wave, noting that combined computing power investment is expected to reach $830 billion in 2026, up 79% year over year, but as of July 2026 more than 95% of NVIDIA's Grace Blackwell capacity has not yet been put into use. Industry consensus is that about 60% or more of giant capital expenditure corresponds to clear customers, while the remaining 30-40% is preemptive capacity grabbing. The article cites cases such as CoreWeave's Q2 revenue of $2.575 billion and net loss of $626 million to show that the three conditions—single-park revenue covering costs, stable utilization and rental prices, and follow-on financing continuing—are currently not broadly verified, and the certain winner may only be equipment seller NVIDIA.

    Huxiu reviews the global AIDC construction wave, noting that combined computing power investment is expected to reach $830 billion in 2026, up 79% year over year, but as of July 2026 more than 95% of NVIDIA's Grace Blackwell capacity has not yet been put into use. Industry consensus is that about 60% or more of giant capital expenditure corresponds to clear customers, while the remaining 30-40% is preemptive capacity grabbing. The article cites cases such as CoreWeave's Q2 revenue of $2.575 bill

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  4. Latent SpaceSelected

    Moonshot AI releases Kimi K3.1 Pro: 2.8T total parameters, 104B activated parameters, weights scheduled to be opened on November 4

    Moonshot AI releases Kimi K3.1 Pro, a multimodal MoE model with 2.8T total parameters, 104B activated parameters, and a 1 million token context window. The Standard and Highspeed versions are now available on the Kimi website, App, Kimi Work, Kimi Code and API. The company says Highspeed offers 2–3x faster output at twice the price of the Standard version. Artificial Analysis ranks it fourth on the Intelligence Index with a score of 55, behind Opus 5.5's 58; on Arena's Code Arena WebDev it ranks 8th with 1692 points, up nine places from K3. Standard pricing is $2 per million tokens for input, $10 for output, and $0.2 for cached input, one-third lower than K3; the weights have not yet been released, and the company promises to open them on November 4.

    Moonshot AI releases Kimi K3.1 Pro, a multimodal MoE model with 2.8T total parameters, 104B activated parameters, and a 1 million token context window. The Standard and Highspeed versions are now available on the Kimi website, App, Kimi Work, Kimi Code and API. The company says Highspeed offers 2–3x faster output at twice the price of the Standard version. Artificial Analysis ranks it fourth on the Intelligence Index with a score of 55, behind Opus 5.5's 58; on Arena's Code Arena WebDev it ranks

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  5. Wallstreetcn

    Nomura: AI capex caught in a dilemma—accelerating pressures cash flow, slowing means the growth story breaks

    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 deviations, and 6 moved more than 5 standard deviations; over the past two weeks, CTA trend strategies have closed about $68 billion of US Treasury futures shorts and $38 billion of short-term interest rate futures shorts. Next week, earnings from Google, Amazon and Microsoft and the Federal Reserve's policy meeting will test the market's direction.

    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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  6. Fortune AI

    Getting 17-Year-Olds to Change Their Minds: The Best Career Choice in the AI Era

    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 sophomore year and sets competencies such as quantitative reasoning, scientific questioning, aesthetic thinking, listening across perspectives, and effective writing and expression as general education requirements.

    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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  7. SemiAnalysis

    SemiAnalysis benchmarks Trainium3's PyTorch training and Neuron Explorer profiler

    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. FlexAttention tests passed 89 of 96 cases, with all 7 failures due to compilation timeouts rather than numerical errors.

    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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  8. Wallstreetcn

    From CoreWeave to Anthropic, chip-collateralized financing is reshaping the AI debt market

    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 nature with limited exit channels, cross-exposures among chipmakers, cloud computing giants and emerging cloud service providers are highly concentrated, and CoreWeave's corporate junk bonds have recently fallen to around 80 cents on the dollar with a yield of about 15%.

    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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  9. AWS Machine Learning

    Amazon SageMaker AI Multi-Turn Reinforcement Learning Practical Guide: Training gpt-oss-20b with a Wordle Example

    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 inverted reward design errors, token invalidation under concurrency, and tool calls degrading into plain text, and recommends evaluating under the decoding settings used in final serving.

    SageMaker AI training job connected to the AgentCore-hosted agent, Wordle environment, and reward function

    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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Friday

  1. Databricks Blog

    Databricks vs. Oracle 2026 Comparison: Why Open Lakehouse Architecture Replaces Traditional Data Warehouses

    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 offers Unity Catalog unified governance, Genie natural language analytics and OpenSharing cross-platform sharing, supporting AWS, Azure and Google Cloud.

    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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  2. heise online

    Anthropic launches proactive AI agent Claude Duet

    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, QuickBooks, Stripe, and others; actions such as payments, signing documents, and deleting files require explicit user confirmation, while securities trading and transfers between accounts are completely prohibited. Anthropic calls it an early version that may misread messages or misjudge urgency, and background checks consume existing Claude plan quotas.

    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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  3. Cailian Press

    Microsoft's AI diagnostic tool simulates a doctor's step-by-step questioning, with accuracy on complex cases about twice that of general practitioners

    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 to ask about and which tests to order, and continuously updating diagnostic hypotheses. The research team's next step is to collaborate with Boston's Beth Israel Deaconess Medical Center to test emergency triage capabilities; Microsoft has not yet specified the timing or form of commercialization.

    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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  4. Zhidx

    Former OpenAI Chief Product Officer Kevin Weil founded Warp Sciences, raising a $215 million Series A at an $865 million valuation

    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. The approach is still at an early stage, and whether it can run stably and improve experimental efficiency remains to be verified.

    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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  5. Fortune Tech

    Two former US officials from opposing parties: How to solve the data center mess

    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 national competitiveness with community interests.

    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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  6. Fortune AI

    AI Is Everywhere, Yet Not in GDP Data—What Will Trigger the Inflection Point

    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 computers did, but only 5 to 8 years.

    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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  7. Fortune AI

    Twilio CMO: We used AI to shrink two weeks of work into one day, and then the truly tedious work began

    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, and integration are the key issues, with only 8.4% of data leaders believing their data is ready for production-grade AI.

    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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  8. Testing Catalog

    October 23 AI Daily: MiniMax open-sources M3.1 Flash, OpenAI launches Decisions API

    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 default.

    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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  9. 36Kr · AI

    Altman: OpenAI's internal models surpass public models in mathematical research capability; programmers are not replaced by AI but busier and earning more

    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 looked at a line of code for about a year. Speaking of the next-generation personal AI assistant, he believes model intelligence is already sufficient; what is lacking is product, compute, and new hardware that can continuously perceive the real environment, and he said Dot saves him about an hour every day.

    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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  10. TMTPost · AGI

    Pichai Reviews Gemini 4 Argon: Why 3.5 Pro Was Cut

    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 completed at that time, so they injected the accumulated gains into Argon post-training. He also mentioned that Google internally has entered the RSI stage of researchers and models collaborating, and said the next-generation Gemini 5.0 will be much stronger than Argon.

    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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  11. Fortune Tech

    Europe asks US tech companies for guarantees beyond commitments

    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 requirements through a European operating structure, but three suppliers based on European technology received higher sovereignty ratings. Microsoft has committed to legally challenge any government order suspending its cloud services in Europe, and has written this commitment into contracts with European governments and the European Commission.

    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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