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Wednesday

  1. ZhiDongXi

    Iluvatar CoreX First Live Demonstration of TianGai 300 and On-Device Terminal TY1200

    Iluvatar CoreX held the first live demonstration of its general-purpose GPU TianGai 300 and the on-device compute terminal TY1200, and previewed the next-generation on-device product TY2000 with a nominal compute of 600T. The TianGai 300 has 144GB of memory, delivering Attention performance 1.05 times that of the H200 under a 64K long context and MoE throughput 1.15 times that of the H200 on the GLM-5.3 model; the TY1200 offers 300 TOPS INT8 dense compute, with measured TPS surpassing NVIDIA's Thor T5000. The TianGai 300 IXL144 supernode integrates 144 GPUs in a single rack and aggregates about 10.1TB of memory, reducing the cost per million effective tokens by about 40% compared with mainstream international solutions.

    Iluvatar CoreX held the first live demonstration of its general-purpose GPU TianGai 300 and the on-device compute terminal TY1200, and previewed the next-generation on-device product TY2000 with a nominal compute of 600T. The TianGai 300 has 144GB of memory, delivering Attention performance 1.05 times that of the H200 under a 64K long context and MoE throughput 1.15 times that of the H200 on the GLM-5.3 model; the TY1200 offers 300 TOPS INT8 dense compute, with measured TPS surpassing NVIDIA's T

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  2. Wired AI

    AI-drafted disaster alerts are entering emergency management—is humanity ready?

    Reports from Grist and WIRED point out that although most emergency management agencies do not allow employees to use generative AI, experts believe that state and local disaster departments are already using it privately to draft alerts. A county emergency manager in Alabama once used AI to generate a hurricane risk map, but the result was meteorologically inaccurate; meanwhile, models from companies such as EM1 can already rewrite flood alerts for the San Juan River in New Mexico, adding the issuing authority, location, and evacuation guidance. Experts warn that inexperienced emergency personnel find it difficult to judge model output, and public distrust of AI and government may also backfire on the credibility of alerts.

    Reports from Grist and WIRED point out that although most emergency management agencies do not allow employees to use generative AI, experts believe that state and local disaster departments are already using it privately to draft alerts. A county emergency manager in Alabama once used AI to generate a hurricane risk map, but the result was meteorologically inaccurate; meanwhile, models from companies such as EM1 can already rewrite flood alerts for the San Juan River in New Mexico, adding the i

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Thursday

  1. ZhidongxiSelected

    Google Releases Gemini 4 Carbon Model, Focused on Long-Horizon Agentic Workflows

    Google has released its flagship model Gemini 4 Carbon, built specifically for continuously running agentic workflows, with a focus on improving coding, agentic, scientific task, and full-stack web development capabilities. The model ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol; the launch promotional price is $2 per million input tokens and $10 per million output tokens, with a 95% discount available for cached input tokens. Carbon adopts a phased rollout strategy, first opening to select cybersecurity defenders, then expanding the range of trusted partners through the Fairwind program, and afterward opening to developers, enterprises, and consumers.

    Google has released its flagship model Gemini 4 Carbon, built specifically for continuously running agentic workflows, with a focus on improving coding, agentic, scientific task, and full-stack web development capabilities. The model ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol; the launch promotional price is $2 per million input tokens and $10 per million output tokens, with a 95% discount available

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  2. Robotics & Automation News

    Maxinsights raises $30 million seed round to build a training data platform for physical AI

    Maxinsights has completed a $30 million seed round led by PeakXV, with participation from Tola Capital, South Park Commons, INCE Capital and Alumni Ventures, to expand its physical AI data platform that collects real human activity data for robots and AI models. The company has collected over 2 million hours of real human activity data, of which 1.5 million hours can be used directly for model training, serving more than 30 AI lab and foundation model developer clients. The company has also launched the MaxLoop quality monitoring system and the MaxGlove tactile sensing glove; MaxLoop reduces review costs by about 80% and can process 450,000 hours of video per month.

    Maxinsights has completed a $30 million seed round led by PeakXV, with participation from Tola Capital, South Park Commons, INCE Capital and Alumni Ventures, to expand its physical AI data platform that collects real human activity data for robots and AI models. The company has collected over 2 million hours of real human activity data, of which 1.5 million hours can be used directly for model training, serving more than 30 AI lab and foundation model developer clients. The company has also laun

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  3. heise online

    Google and Xreal's co-developed Android XR glasses Aura go on sale, starting at $1,099

    Xreal Aura, the Android XR glasses developed by Xreal in collaboration with Google, is now on sale in the US, Canada, Japan and South Korea. The 12GB+256GB version costs $1,279 and the 16GB+512GB version $1,499, with promotional prices of $1,099 and $1,299 before the end of the year; shipping begins in mid-November. It weighs about 95 grams and uses a split architecture that puts the main computing unit and battery in a wired pocket host. It is powered by Qualcomm's Snapdragon Reality Elite chip and supports Gemini voice commands, hand tracking and a 70-degree field of view. Xreal says it offers more than 150 XR apps and experiences at launch, and is also launching a controller with a Gemini button and a wireless keyboard accessory.

    Xreal Aura, the Android XR glasses developed by Xreal in collaboration with Google, is now on sale in the US, Canada, Japan and South Korea. The 12GB+256GB version costs $1,279 and the 16GB+512GB version $1,499, with promotional prices of $1,099 and $1,299 before the end of the year; shipping begins in mid-November. It weighs about 95 grams and uses a split architecture that puts the main computing unit and battery in a wired pocket host. It is powered by Qualcomm's Snapdragon Reality Elite chip

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  4. Unite.AI

    Interview with Daptic CEO Baptiste Bouvier: Using AI to Connect Regulatory Intelligence and Product Development

    In an interview, Daptic CEO Baptiste Bouvier explained that the company uses an AI platform to connect regulatory changes and interpretations with product requirements, serving industries such as automotive, aerospace, defense, medical devices, and robotics that face thousands of regulations. He emphasized that traceability and human oversight are the foundation of trust: AI is responsible for finding and structuring information, while engineers and regulatory experts remain responsible for review and judgment. Bouvier calls this direction Product Compliance Lifecycle Management.

    In an interview, Daptic CEO Baptiste Bouvier explained that the company uses an AI platform to connect regulatory changes and interpretations with product requirements, serving industries such as automotive, aerospace, defense, medical devices, and robotics that face thousands of regulations. He emphasized that traceability and human oversight are the foundation of trust: AI is responsible for finding and structuring information, while engineers and regulatory experts remain responsible for revi

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  5. English text is being prepared.

    In 2026, full-color AI glasses are launching in clusters; RayNeo preheats the full-color Micro-LED optical waveguide iO+

    In 2026, full-color AI glasses are making intensive appearances. RayNeo is preheating its fourth-generation binocular full-color AI glasses, the iO+, whose full-color light engine is smaller than 0.18cc, already approaching the level of monochrome Micro-LED optical engines. In the same period, Rokid released the full-color AI glasses Rokid Color, adopting a Micro-LED and diffractive optical waveguide solution, priced from 4,999 yuan. Since the X1 in 2021, RayNeo has continuously invested in full-color Micro-LED optical waveguides; in 2023, the X2 became the world's first consumer-grade mass-produced binocular full-color Micro-LED optical waveguide AR glasses.

    In 2026, full-color AI glasses are making intensive appearances. RayNeo is preheating its fourth-generation binocular full-color AI glasses, the iO+, whose full-color light engine is smaller than 0.18cc, already approaching the level of monochrome Micro-LED optical engines. In the same period, Rokid released the full-color AI glasses Rokid Color, adopting a Micro-LED and diffractive optical waveguide solution, priced from 4,999 yuan. Since the X1 in 2021, RayNeo has continuously invested in full

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  6. The New Stack

    The Five-Layer Architecture of AI Agent Sandboxes on Kubernetes

    Running AI agents on Kubernetes requires five layers of sandbox isolation: the isolation layer can use runc, gVisor, or Kata Containers, corresponding to shared kernel, restricted kernel interfaces, and full VM isolation respectively; the node layer requires configuring containerd, KVM, and the guest kernel for the chosen runtime; the access layer uses NetworkPolicy to deny outbound network access by default, issues short-lived credentials per task, and mounts data read-only; the request layer uses RuntimeClass to let agent Pods select the isolated runtime, and factors additional overhead such as the gVisor Sentry and Kata guest kernel into scheduling and quotas.

    Running AI agents on Kubernetes requires five layers of sandbox isolation: the isolation layer can use runc, gVisor, or Kata Containers, corresponding to shared kernel, restricted kernel interfaces, and full VM isolation respectively; the node layer requires configuring containerd, KVM, and the guest kernel for the chosen runtime; the access layer uses NetworkPolicy to deny outbound network access by default, issues short-lived credentials per task, and mounts data read-only; the request layer u

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  7. MediaNama

    Paytm expects UPI MDR to bring in Rs 70 crore per fiscal year

    Paytm Group CFO Madhur Deora said on the Q2 FY27 earnings call that after NPCI imposed a 0.4% MDR on P2M UPI transactions above Rs 2,000, based on the current GMV of Rs 28 trillion, this could bring incremental EBITDA of slightly over Rs 70 crore per fiscal year, potentially reaching Rs 90 crore in FY28. Paytm currently accounts for 8.1% of UPI transaction volume, trailing PhonePe's 45.6% and Google Pay's 32.2%; CEO Vijay Shekhar Sharma said the goal is to capture one-third of the market share.

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  8. SiliconANGLE

    Microsoft's revenue in the first quarter of fiscal year 2027 was $92.28 billion, with Azure growing 48%

    Microsoft's revenue in the first quarter of fiscal year 2027 grew 19% year over year to $92.28 billion, with earnings per share of $4.89, both exceeding Wall Street expectations, and the stock rose about 4% after hours. For the first time, the company separately disclosed Azure revenue of $33.17 billion, up more than 48% year over year, and changed its financial reporting to two major segments, Agents and Infra and Devices and Consumer, with the former generating $76.8 billion in revenue, up 25%. Capital expenditures and finance leases totaled $45.2 billion this quarter, of which CFO Amy Hood said about 75% was invested in short-lived assets such as GPUs and CPUs, and she expects Azure to grow 49% to 50% in constant currency in the second fiscal quarter.

    Microsoft's revenue in the first quarter of fiscal year 2027 grew 19% year over year to $92.28 billion, with earnings per share of $4.89, both exceeding Wall Street expectations, and the stock rose about 4% after hours. For the first time, the company separately disclosed Azure revenue of $33.17 billion, up more than 48% year over year, and changed its financial reporting to two major segments, Agents and Infra and Devices and Consumer, with the former generating $76.8 billion in revenue, up 25%

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  9. AI Business

    Chinese Open Source Models Enter the Enterprise: Red Hat Uses GLM to Handle 70% of Inference Traffic

    AI Business reported that, in the week ending October 25, Chinese models accounted for more than half of the token statistics on OpenRouter, whereas about a year ago only one of the nine models on the site's weekly usage list came from China. Red Hat is internally piloting self-hosted GLM, used by up to 1,400 engineers, with about 70% of inference traffic going to open source models, and it controls costs with a frontier model quota of $300 per person per month. DataCamp, due to latency and insufficient capacity from open source model providers, is shifting from Anthropic to OpenAI and has not yet moved its AI tutor to open source models.

    AI Business reported that, in the week ending October 25, Chinese models accounted for more than half of the token statistics on OpenRouter, whereas about a year ago only one of the nine models on the site's weekly usage list came from China. Red Hat is internally piloting self-hosted GLM, used by up to 1,400 engineers, with about 70% of inference traffic going to open source models, and it controls costs with a frontier model quota of $300 per person per month. DataCamp, due to latency and insu

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  10. CaixinSelected

    Caixin Explains Anthropic's Prospectus in Detail: First-Half Revenue of US$16.3 Billion, Second-Quarter Operating Profit

    Anthropic has filed a prospectus with the SEC, planning to list on Nasdaq under the ticker "ANT", with first-half revenue of US$16.3 billion and operating profit in the second quarter. Founded five years ago, the company has raised nearly RMB 140 billion in the private market; its IPO valuation is expected at US$1.5 trillion to US$2 trillion, with projected compute investment of US$800 billion. OpenAI announced in September that it would not go public this year, leaving Anthropic to push ahead with this IPO alone.

    Anthropic has filed a prospectus with the SEC, planning to list on Nasdaq under the ticker "ANT", with first-half revenue of US$16.3 billion and operating profit in the second quarter. Founded five years ago, the company has raised nearly RMB 140 billion in the private market; its IPO valuation is expected at US$1.5 trillion to US$2 trillion, with projected compute investment of US$800 billion. OpenAI announced in September that it would not go public this year, leaving Anthropic to push ahead w

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  11. Caixin

    Tencent Connects Multiple Products for AI Agents; WorkBuddy's Token Consumption Surpasses Yuanbao

    Dowson Tong, Senior Executive Vice President of Tencent Group, described WorkBuddy as a personal Agent for the office track and said Tencent is connecting multiple products for AI agents. WorkBuddy was launched in March this year and competes in the same track as ByteDance's Doubao Work and Alibaba's Qwen Office, and its token consumption has already surpassed Tencent's chatbot Yuanbao. WorkBuddy originated from Tencent Cloud's developer tools team and nearly got cut around 2022 when Tencent was cutting costs and improving efficiency.

    Dowson Tong, Senior Executive Vice President of Tencent Group, described WorkBuddy as a personal Agent for the office track and said Tencent is connecting multiple products for AI agents. WorkBuddy was launched in March this year and competes in the same track as ByteDance's Doubao Work and Alibaba's Qwen Office, and its token consumption has already surpassed Tencent's chatbot Yuanbao. WorkBuddy originated from Tencent Cloud's developer tools team and nearly got cut around 2022 when Tencent was

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  12. PyTorch Blog

    PyTorch 2.15 Released: Rewritten NCCL Backend Becomes Default, Apple Silicon Gains FP8 Support

    The PyTorch Foundation has released PyTorch 2.15. All process groups using nccl now default to the rewritten NCCL backend, accompanied by a flight recorder that dumps on-site information when collective communication hangs, and can be reverted via TORCH_DIST_USE_NCCL2=0 or nccl-legacy. This version also adds float8_e4m3fn and _scaled_mm support for Apple Silicon, and the new grouped_mm improves MoE decoding throughput by 1.32–1.34x on M3 Ultra. The default wheel is upgraded to CUDA 13.2, while a CUDA 13.4 wheel is also provided with experimental support for NVIDIA Rubin GPUs; a ROCm 10.0 wheel is newly added, and Python 3.10 and macOS 14 are no longer supported.

    The PyTorch Foundation has released PyTorch 2.15. All process groups using nccl now default to the rewritten NCCL backend, accompanied by a flight recorder that dumps on-site information when collective communication hangs, and can be reverted via TORCH DIST USE NCCL2=0 or nccl-legacy. This version also adds float8 e4m3fn and scaled mm support for Apple Silicon, and the new grouped mm improves MoE decoding throughput by 1.32–1.34x on M3 Ultra. The default wheel is upgraded to CUDA 13.2, while a

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  13. The Verge AI

    SemiAnalysis Analyst Interprets Anthropic S-1: The Ledger Behind the Valuation and AGI Narrative

    The Verge's Decoder podcast invited SemiAnalysis analyst Joey Brookhart to break down the S-1 filed by Anthropic, discussing its potential Nasdaq listing at a valuation of $1.5 trillion to $2 trillion. Brookhart said Anthropic has achieved over $70 billion in ARR, with inference gross margins turning from negative 94% two years ago to positive 85%, and revenue per megawatt of inference at about $65 million, but revenue is highly concentrated in coding scenarios, and about 70% of compute is used for training and research. He also mentioned that Anthropic has $500 billion to $600 billion in compute commitments over the next 7 to 10 years, and compared OpenAI's more consumer-oriented business structure.

    The Verge's Decoder podcast invited SemiAnalysis analyst Joey Brookhart to break down the S-1 filed by Anthropic, discussing its potential Nasdaq listing at a valuation of $1.5 trillion to $2 trillion. Brookhart said Anthropic has achieved over $70 billion in ARR, with inference gross margins turning from negative 94% two years ago to positive 85%, and revenue per megawatt of inference at about $65 million, but revenue is highly concentrated in coding scenarios, and about 70% of compute is used

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Friday

  1. TMTPost · AGI

    Edge AI Daily Morning Brief: Google Releases Gemini 4 Carbon, Anthropic Files for $2 Trillion...

    Google DeepMind released the cybersecurity frontier model Gemini 4 Carbon on October 28, topping the Artificial Analysis Intelligence Index v5.0 with a composite score of 59, priced at $2 per million input tokens and $10 per million output tokens. Anthropic filed its S-1 prospectus with the SEC on October 26, planning to list on Nasdaq under the ticker ANT, with a target valuation of $1.5 trillion to $2 trillion and fundraising of up to $100 billion. In the same period, Microsoft disclosed for the first time that Azure quarterly revenue reached $33.2 billion, up 48% year-over-year.

    Google DeepMind released the cybersecurity frontier model Gemini 4 Carbon on October 28, topping the Artificial Analysis Intelligence Index v5.0 with a composite score of 59, priced at $2 per million input tokens and $10 per million output tokens. Anthropic filed its S-1 prospectus with the SEC on October 26, planning to list on Nasdaq under the ticker ANT, with a target valuation of $1.5 trillion to $2 trillion and fundraising of up to $100 billion. In the same period, Microsoft disclosed for t

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  2. TMTPost · AGI

    ByteDance World Model Exposed: Zhang Yiming's Strategy and Its Divergence from Google Genie 4's Approach

    A TMTPost article states that ByteDance has listed world models as one of its four major AI priorities for 2026, with the goal of releasing at least one version by the end of the year, benchmarked against Google Genie 3, and that users can enter cloud-generated worlds via Pico headsets using voice and motion. The article also reviews Google Genie 4, released on October 28, which supports real-time changes to weather, camera movement, and the introduction of characters using natural language, and adds sound for the first time. The article also mentions that ByteDance's internal evaluations show its world model's overall performance is about 10% behind the then-current global SOTA, with generation metrics at about 20fps.

    A TMTPost article states that ByteDance has listed world models as one of its four major AI priorities for 2026, with the goal of releasing at least one version by the end of the year, benchmarked against Google Genie 3, and that users can enter cloud-generated worlds via Pico headsets using voice and motion. The article also reviews Google Genie 4, released on October 28, which supports real-time changes to weather, camera movement, and the introduction of characters using natural language, and

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  3. TMTPost · AGI

    Gemini 4 Carbon's Top Ranking Fails to Mask Disappointing Earnings: The Bill for Google's AI Gamble

    Alphabet's third-quarter revenue rose 25% year-over-year to $127.58 billion, while net profit fell 25% year-over-year to $26.17 billion, free cash flow was negative more than $9 billion, and the stock fell nearly 10% in after-hours trading. Capital expenditures of $51.4 billion were mostly directed toward AI infrastructure, and CFO Anat Ashkenazi maintained the full-year 2026 capital expenditure range of $195 billion to $205 billion unchanged. Hours before the earnings release, Google launched Gemini 4 Carbon, which topped the Artificial Analysis Intelligence Index with a score of 59, but it has not yet opened a public API and is initially available only to some cybersecurity professionals.

    Alphabet's third-quarter revenue rose 25% year-over-year to $127.58 billion, while net profit fell 25% year-over-year to $26.17 billion, free cash flow was negative more than $9 billion, and the stock fell nearly 10% in after-hours trading. Capital expenditures of $51.4 billion were mostly directed toward AI infrastructure, and CFO Anat Ashkenazi maintained the full-year 2026 capital expenditure range of $195 billion to $205 billion unchanged. Hours before the earnings release, Google launched G

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  4. English text is being prepared.

    Google's Android XR development tools enter the stable phase, XREAL AURA released simultaneously

    On October 29, at the Android Dev Summit 2026, Google announced that multiple core Android XR development tools have entered the stable phase, with the 1.0 stable versions of Jetpack SceneCore, ARCore for Jetpack XR, and XR Runtime released on October 21. On the same day, XREAL AURA, a wired XR glasses product developed in collaboration between Google and XREAL, was officially released, featuring a 70-degree field of view and a glasses body weighing less than 95 grams, with a limited-time launch price starting at $1,099; it is now open for pre-order in the United States, Canada, and South Korea, with shipments expected in mid-November. The article also outlines the expansion of the Android XR hardware lineup since its announcement in December 2024, as well as Gemini as a unified AI entry point spanning headsets and smart glasses.

    On October 29, at the Android Dev Summit 2026, Google announced that multiple core Android XR development tools have entered the stable phase, with the 1.0 stable versions of Jetpack SceneCore, ARCore for Jetpack XR, and XR Runtime released on October 21. On the same day, XREAL AURA, a wired XR glasses product developed in collaboration between Google and XREAL, was officially released, featuring a 70-degree field of view and a glasses body weighing less than 95 grams, with a limited-time launch

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  5. SiliconANGLE

    Intel stock falls more than 22% after hours as Q4 guidance comes in far below expectations

    Intel reported third-quarter revenue of $16.51 billion, up 21% year-over-year, and earnings per share of 52 cents, both beating Wall Street expectations. However, its fourth-quarter guidance was only about 25 cents per share on revenue of $15 billion to $16 billion, far below analysts' expectations of 43 cents and $17.1 billion, sending the stock down more than 22% after hours. Revenue from the Client Computing and Physical AI businesses fell 5% year-over-year to $8.1 billion, while revenue from the Data Center and AI segment grew 78% to $7.3 billion. CFO David Zinsner said the PC market slowdown will last at least through the first half of next year, and an explosion at a fab in Israel will also cause about $600 million in revenue losses over the next two quarters.

    Intel reported third-quarter revenue of $16.51 billion, up 21% year-over-year, and earnings per share of 52 cents, both beating Wall Street expectations. However, its fourth-quarter guidance was only about 25 cents per share on revenue of $15 billion to $16 billion, far below analysts' expectations of 43 cents and $17.1 billion, sending the stock down more than 22% after hours. Revenue from the Client Computing and Physical AI businesses fell 5% year-over-year to $8.1 billion, while revenue from

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