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Monday

  1. Google Blog

    15 university students share their favorite Gemini features

    15 Google Student Ambassadors shared the Gemini features they use most, including Study notebooks, which turn course materials into personalized short lessons; Gemini Live, for practicing interviews by voice; Guided Learning, for guided study; and generating study guides and custom quizzes. The student plan offers unlimited uploads of class materials, study notes, and images, and Audio Overviews can turn documents and slides into podcast-style conversations, making it easy to review on the way across campus.

    Three young adults gathered around a laptop looking at its screen

    15 Google Student Ambassadors shared the Gemini features they use most, including Study notebooks, which turn course materials into personalized short lessons; Gemini Live, for practicing interviews by voice; Guided Learning, for guided study; and generating study guides and custom quizzes. The student plan offers unlimited uploads of class materials, study notes, and images, and Audio Overviews can turn documents and slides into podcast-style conversations, making it easy to review on the way a

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Sunday

  1. The Decoder

    OpenMobile-2 open-source mobile agent matches closed-source models on real-device benchmarks

    Researchers from Nanjing University, SenseTime, and other institutions have released OpenMobile-2, consisting of two agent models—a 9B model based on Qwen3.5 and a 27B model based on Qwen3.6—and have publicly released the training environment, data, and reproduction instructions. The team recreated 35 applications including Taobao, JD.com, DiDi, Meituan, Slack, and Google Drive; the practice environment covers more than 110 applications and generated about 11,600 example workflows and more than 2,000 practice tasks. The larger model rose from 67.1 to 79.9 points on AndroidWorld and from 31.9 to 59.6 points on SPA-Bench on real Android devices; the researchers say this is the best result among open-source models.

    .6—and have publicly released the training environment, data, and reproduction instructions. The team recreated 35 applications including Taobao, JD.com, DiDi, Meituan, Slack, and Google Drive; the practice environment covers more than 110 applications and generated about 11,600 example workflows and more than 2,000 practice tasks. The larger model rose from 67.1 to 79.9 points on AndroidWorld and from 31.9 to 59.6 points on SPA-Bench on real Android devices; the researchers say this is the best

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  2. Wallstreetcn

    SemiAnalysis Founder Analyzes AI Investment, Nvidia's Moat and the Memory Shortage

    At CASPA's 35th Annual Conference, SemiAnalysis founder Dylan Patel and Bernstein analyst Stacy Rasgon discussed the outlook for AI infrastructure investment, arguing that with the U.S. 10-year Treasury yield breaking above 5% and unsecured bonds from emerging cloud service providers yielding close to 15%, financing capacity is becoming a key constraint on expansion. The two judged that substrates and memory are bottlenecks harder to scale than power, that HBM requires roughly 3 to 4 times as many wafers as DDR5, and that if new capacity is concentrated in releases after 2028, memory prices and profit margins could come under pressure. Nvidia still supports its pricing through performance gains, but Google TPU, Amazon Trainium, and the custom chips of OpenAI and Anthropic are eroding its share and bargaining power.

    is becoming a key constraint on expansion. The two judged that substrates and memory are bottlenecks harder to scale than power, that HBM requires roughly 3 to 4 times as many wafers as DDR5, and that if new capacity is concentrated in releases after 2028, memory prices and profit margins could come under pressure. Nvidia still supports its pricing through performance gains, but Google TPU, Amazon Trainium, and the custom chips of OpenAI and Anthropic are eroding its share and bargaining power.

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Saturday

  1. Wired AI

    PHP2Shell vulnerability incident shows AI makes old vulnerabilities easier to exploit

    WIRED reported that the newly disclosed PHP vulnerabilities are collectively called PHP2Shell, and within hours of disclosure Cloudflare recorded millions of exploitation attempts, but the PHP Foundation said it has not yet seen a successful exploit. Researchers at security firm Calif, using frontier models from OpenAI's Patch the Planet project combined with PHP expertise, first discovered and constructed an exploit in early August, and researchers from OpenAI and Google's Wiz subsequently also independently discovered similar vulnerabilities using AI. Multiple researchers believe AI has not introduced entirely new attack methods, but has amplified the existing pace of vulnerability discovery and disclosure.

    t yet seen a successful exploit. Researchers at security firm Calif, using frontier models from OpenAI's Patch the Planet project combined with PHP expertise, first discovered and constructed an exploit in early August, and researchers from OpenAI and Google's Wiz subsequently also independently discovered similar vulnerabilities using AI. Multiple researchers believe AI has not introduced entirely new attack methods, but has amplified the existing pace of vulnerability discovery and disclosure.

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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.

    opic 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.

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  3. Yicai

    When Meta Muse Collides with Amazon: AI Is Leaving the Chatbox to Contest the New Internet Gateway

    Meta launched its personal AI Agent Muse last month. It has an independent virtual computer and browser and can send emails, book travel, and shop on behalf of users. It reached about 2.8 million downloads within two weeks of launch, and at the October 21 earnings call it was announced that more than 10 million people had activated it. Less than two weeks after launch, Muse was blocked by Amazon from accessing its shopping site. Amazon said AI Agents should identify themselves and respect whether the service provider permits entry. The article argues that the two sides are fighting over who controls the subsequent search, comparison, decision-making, and payment after consumers form purchase intent, while Google keeps intent-to-execution within its own system through its own ecosystem such as Universal Cart.

    had activated it. Less than two weeks after launch, Muse was blocked by Amazon from accessing its shopping site. Amazon said AI Agents should identify themselves and respect whether the service provider permits entry. The article argues that the two sides are fighting over who controls the subsequent search, comparison, decision-making, and payment after consumers form purchase intent, while Google keeps intent-to-execution within its own system through its own ecosystem such as Universal Cart.

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  4. Simon Willison

    Tool Quick Study: Using Claude Opus 5.5 to quickly turn photos into brushstroke paintings

    Simon Willison used prompts to have Claude Opus 5.5 High build Quick Study: after opening a photo, it draws a version of that photo within seconds using a canvas element and a simulated paintbrush. The tool uses Sobel edge detection and depends on no external libraries other than Google Fonts.

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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.

    nifying 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.

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  2. CTech

    The next batch of big AI winners will build the infrastructure that giants depend on

    Doron Zauer, partner at Earth & Beyond Ventures, believes that competition at the AI application layer is intense and easily commoditized, while physical infrastructure such as silicon architecture, advanced materials, and connectivity technologies are long-term advantages that are hard to replicate. Israel has deep accumulated strength in chip design, photonics, and high-speed communications, and entrepreneurs can target the architectural bottlenecks encountered by giants such as Nvidia, Apple, Intel, and Google. Commercialization success depends on yield, reliability, and system integration, and early validation with industrial buyers and design partners is crucial.

    silicon architecture, advanced materials, and connectivity technologies are long-term advantages that are hard to replicate. Israel has deep accumulated strength in chip design, photonics, and high-speed communications, and entrepreneurs can target the architectural bottlenecks encountered by giants such as Nvidia, Apple, Intel, and Google. Commercialization success depends on yield, reliability, and system integration, and early validation with industrial buyers and design partners is crucial.

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  3. 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.

    niMax 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.

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  4. Guillermo Rauch

    Rauch: TakoViz is an excellent example of generative UI

    Guillermo Rauch reposted Vercel's post introducing TakoViz's launch on AI Gateway, calling it one of the coolest real-world cases of generative UI. He also said he likes that AI Gateway is itself a tool marketplace: adding a tool in aisdk (just 1 line of code) gets you "Google"—not just search, but also weather, sports, stocks, elections, and more.

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  5. 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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  6. gihyo.jp

    Meta's personal AI agent Muse launches in Japan, its first market outside North America

    Meta launched its personal AI agent Muse in Japan on October 23, available on iOS, Android, and muse.ai; Japan is the first overseas market following the initial launch in North America in September this year. Muse can make plans and execute tasks on the user's behalf, continuing to work even after the app is closed, and it requests user confirmation before actions such as sending emails or purchasing products; Meta is also advancing connector integrations with Japanese local services such as Mercari, Money Forward ME, and Ticket Pia, as well as Gmail, Google Calendar, Instagram, Stripe, Shopify, and Trip.com. Meta says it runs in an isolated Muse Secure VM, with network access managed by a separate Sentinel agent; basic features are free, while the Power plan costs $20/month and the Maximum plan costs $100/month.

    requests user confirmation before actions such as sending emails or purchasing products; Meta is also advancing connector integrations with Japanese local services such as Mercari, Money Forward ME, and Ticket Pia, as well as Gmail, Google Calendar, Instagram, Stripe, Shopify, and Trip.com. Meta says it runs in an isolated Muse Secure VM, with network access managed by a separate Sentinel agent; basic features are free, while the Power plan costs $20/month and the Maximum plan costs $100/month.

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  7. 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.

    r 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,

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  8. The Guardian Technology

    Burnham will announce a plan to form an AI wildfire monitoring team in response to a record-hot summer

    The UK government will set up an AI wildfire monitoring team at the National Situation Centre (part of the Cobra briefing room) to detect and extinguish fires faster; this follows this summer setting a record high temperature, when England and Wales sent emergency alerts to mobile phones because of wildfires. The Prime Minister will also announce 45 million pounds to purchase wildfire-specific personal protective equipment for fire brigades, and invest 25 million pounds to restore dried-out peatlands in England to serve as natural firebreaks. Companies such as Google, Airbus and VodafoneThree are expected to attend the first Wildfire Resilience Summit to discuss satellite monitoring and early warning systems.

    erature, when England and Wales sent emergency alerts to mobile phones because of wildfires. The Prime Minister will also announce 45 million pounds to purchase wildfire-specific personal protective equipment for fire brigades, and invest 25 million pounds to restore dried-out peatlands in England to serve as natural firebreaks. Companies such as Google, Airbus and VodafoneThree are expected to attend the first Wildfire Resilience Summit to discuss satellite monitoring and early warning systems.

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  9. Alex Heath

    Pichai responds to why Gemini 3.5 Pro was not released

    Alex Heath asked Google CEO Pichai why Gemini 3.5 Pro ultimately was not released. Pichai said that while training the 3.5 series, the team found gaps in agentic capabilities, especially in coding, and believed that iterating with the smaller, more efficient Flash would be faster, so they released 3.5, 3.6, 3.7, and 3.8 Flash in succession; by the time this set of capabilities could be applied to Pro, Argon pretraining had already been completed.

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  10. PyTorch Blog

    PyTorch Conference 2026 held in San Jose, announces progress on TorchTPU and TorchNeuron

    PyTorch Conference North America 2026 was held on October 20–21 in San Jose, attracting more than 3,500 attendees and focusing on accelerating open intelligence and projects including PyTorch, vLLM, DeepSpeed, Ray, Helion, and Safetensors. The event announced TorchTPU, a native PyTorch TPU backend developed in collaboration between Google and Meta, as well as TorchNeuron, a native backend for AWS Trainium, which entered public testing under Apache 2.0 on October 20. Shopify shared a case study of building a continuous learning loop with PyTorch and vLLM, saying it compresses production failures into model weights every day and has reduced serving costs by 96%.

    PyTorchCon community expo

    igence and projects including PyTorch, vLLM, DeepSpeed, Ray, Helion, and Safetensors. The event announced TorchTPU, a native PyTorch TPU backend developed in collaboration between Google and Meta, as well as TorchNeuron, a native backend for AWS Trainium, which entered public testing under Apache 2.0 on October 20. Shopify shared a case study of building a continuous learning loop with PyTorch and vLLM, saying it compresses production failures into model weights every day and has reduced serving

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  11. Aditya Agarwal

    Sergey Levine discusses Physical Intelligence robot foundation models

    Aditya Agarwal shared Sergey Levine's conversation at SPC: In his early years, Levine had a roomful of robots in a converted Google conference room spend all day grasping objects, accumulating a great deal of experience yet lacking prior knowledge; this bottleneck ultimately gave rise to Physical Intelligence. The conversation covered the Pi Zero robot foundation model, the evolution of reasoning and generalization capabilities from Pi 0.5 to Pi 0.7, as well as the robot data challenge and world models.

    Aditya Agarwal shared Sergey Levine's conversation at SPC: In his early years, Levine had a roomful of robots in a converted Google conference room spend all day grasping objects, accumulating a great deal of experience yet lacking prior knowledge; this bottleneck ultimately gave rise to Physical Intelligence. The conversation covered the Pi Zero robot foundation model, the evolution of reasoning and generalization capabilities from Pi 0.5 to Pi 0.7, as well as the robot data challenge and world

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Thursday

  1. MiniMax

    MiniMax responds to H3 integration with TPU: looking forward to open-source work on efficient video inference

    MiniMax officially responded to SGLang adding MiniMax H3 to the TPU support list of SGLang-TorchTPU, and said it looks forward to more open-source work on efficient video inference. SGLang said that SGLang-TorchTPU was built jointly by SGLang, the Google TPU team, and the Meta PyTorch team, has been used for production inference at Meta, and supports models including Muse Spark Open, GLM-5.3 Flash, Kimi K3, Ling 3.1 Flash, and MiniMax H3.

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