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Thursday

  1. TechCrunch AI

    Google Expands AI Search Ads to Global Markets

    At Alphabet's Q3 earnings call, Google announced it would expand ads in AI Mode to international markets and launch multi-turn conversational ads. Alphabet's quarterly revenue was $127.6 billion, up 25% year over year, but search ad revenue growth slowed from 19% in Q1 and 17% in Q2 to 12%, and the stock fell 8% after the earnings report. Google says the click-through rate on sponsored product listings in AI Mode is now comparable to organic results, and the average AI Mode query is 3 times longer than traditional search.

    At Alphabet's Q3 earnings call, Google announced it would expand ads in AI Mode to international markets and launch multi-turn conversational ads. Alphabet's quarterly revenue was $127.6 billion, up 25% year over year, but search ad revenue growth slowed from 19% in Q1 and 17% in Q2 to 12%, and the stock fell 8% after the earnings report. Google says the click-through rate on sponsored product listings in AI Mode is now comparable to organic results, and the average AI Mode query is 3 times long

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Tuesday

  1. The New Stack

    OpenAI Developer Lead Discusses How to Choose Between Sol, Astra, and dots After DevDay

    Vaibhav Srivastav, OpenAI's Head of Developer Experience and Community, said in an interview that GPT-6.1 Sol can achieve about 95% of the performance of GPT-6 Astra at only one-fifth the cost, and that he himself mainly uses Sol in his daily work. He recommends using Astra for adversarial review on new projects or unfamiliar problems, and said the Ultrafast tier targets real-time scenarios such as fraud detection and financial investigations, with speeds exceeding 300 tokens per second. He also described how the always-on agent OpenAI dots aggregates information from Slack, GitHub, Gmail, and calendars and handles PRs on users' behalf, as well as how Auto-review checks model actions against custom policies before they are taken.

    Vaibhav Srivastav, OpenAI's Head of Developer Experience and Community, said in an interview that GPT-6.1 Sol can achieve about 95% of the performance of GPT-6 Astra at only one-fifth the cost, and that he himself mainly uses Sol in his daily work. He recommends using Astra for adversarial review on new projects or unfamiliar problems, and said the Ultrafast tier targets real-time scenarios such as fraud detection and financial investigations, with speeds exceeding 300 tokens per second. He also

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  2. Google Blog

    Google Releases Gemini 4 Argon, Showcasing Ability to Handle 8 Categories of Complex Tasks

    Google has released its latest model, Gemini 4 Argon, saying it is aimed at complex real-world tasks and can perform reasoning, coding, and coordinate tools. The company provided 8 examples, including writing 5,000 lines of mathematical code from scratch with zero source material to render a 3D sunlit library, and, in Antigravity, processing more than 80,000 raw files from a NASA Mars mission and generating executive briefing slides.

    Collage of various uses of Gemini 4 Argon

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  3. NVIDIA Blog

    NVIDIA and C-BRAIN Use AI to Accelerate Alzheimer's Research

    C-BRAIN, in collaboration with NVIDIA, is using AI to accelerate Alzheimer's research and has launched two open-source tools, OpenScientist and InsightEngine. OpenScientist can complete analyses that originally took weeks to months in just a few minutes, at a cost of less than $10 per run. C-BRAIN currently covers more than 200 research groups, runs 64 NVIDIA data center GPUs locally, and plans to introduce Blackwell systems.

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  4. OpenAI: Deployment Safety and System Card

    OpenAI Releases GPT-6.1 Terra System Card Addendum

    OpenAI has launched GPT-6.1 Terra, a new model in the GPT-6 series positioned as an efficient model for high-throughput professional work, with strong image analysis and computer operation capabilities. The system card addendum states that under the Preparedness Framework, the model is rated Critical in the cybersecurity domain and High in the biological and chemical domains, using the same set of safeguards as GPT-6.1 Sol and GPT-6 Astra. On Production Benchmarks, its safety performance is on par with GPT-5.6 Terra, its length-corrected HealthBench Professional score is higher than that of GPT-5.6 Terra, and its MentalHealthBench score is 55.5%, higher than the latter's 46.2%.

    Figure 1

    OpenAI has launched GPT-6.1 Terra, a new model in the GPT-6 series positioned as an efficient model for high-throughput professional work, with strong image analysis and computer operation capabilities. The system card addendum states that under the Preparedness Framework, the model is rated Critical in the cybersecurity domain and High in the biological and chemical domains, using the same set of safeguards as GPT-6.1 Sol and GPT-6 Astra. On Production Benchmarks, its safety performance is on p

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Wednesday

  1. Google DeepMindSelected

    Google DeepMind releases world model Genie 4, supporting native audio and real-time interaction

    Google DeepMind has released the world model Genie 4, which can generate interactive worlds in real time and, for the first time, natively generate ambient sound and character dialogue. The model builds on capabilities from the Gemini series; Gemini 3.8 Flash breaks down goals in a loop and checks frames to maintain causal coherence across multi-step events, and Gemini 4 Argon has also been used for joint simulation tasks with Gemini Robotics. The company says it remains an early experimental model: over long runs, object permanence and complex physical interactions still drift, all generated content carries a SynthID watermark, and it is currently available in preview to trusted testers first.

    Google DeepMind has released the world model Genie 4, which can generate interactive worlds in real time and, for the first time, natively generate ambient sound and character dialogue. The model builds on capabilities from the Gemini series; Gemini 3.8 Flash breaks down goals in a loop and checks frames to maintain causal coherence across multi-step events, and Gemini 4 Argon has also been used for joint simulation tasks with Gemini Robotics. The company says it remains an early experimental mo

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  2. Google BlogSelected

    Google DeepMind Releases Gemini 4 Carbon Frontier Model

    Google DeepMind has released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0 and leading on SEC-bench Pro (88.2%), ExploitGym (54.8%), and CWE-bench (71.0%). The model targets long-horizon engineering tasks; an internal team once had it run continuously for several days to investigate and fix hidden defects in a large codebase, and it rose 89 elo to 4th place (1768) on WebDev Arena. Starting this week, Carbon will first be opened to some cybersecurity defenders, then gradually expanded through the Fairwind Program, and only afterward made available to developers, enterprises, and consumers; after the introductory period, pricing will be $4 per 1M input tokens and $20 per 1M output tokens.

    Faceted iridescent crystal surrounded by floating white number 4s.

    Google DeepMind has released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0 and leading on SEC-bench Pro (88.2%), ExploitGym (54.8%), and CWE-bench (71.0%). The model targets long-horizon engineering tasks; an internal team once had it run continuously for several days to investigate and fix hidden defects in a large codebase, and it rose 89 elo to 4th place (1768) on WebDev Arena. Starting this week, Carbon will f

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  3. Full Artificial Analysis articleSelected

    Gemini 4 Carbon Tops the Artificial Analysis Intelligence Index v5

    Google's Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59, leading in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with the Antigravity CLI scores 59, trailing Claude Code paired with Claude Opus 5.5 (max, 62 points) by 3 points. The model has a 1M-token context window, supports text, image, video, and speech input, and is priced at a standard rate of $4/$20 per million input/output tokens; it is currently available to select users with a 50% discount.

    Google's Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59, leading in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with the Antigravity CLI scores 59, trailing Claude Code paired with Claude Opus 5.5 (max, 62 points) by 3 points. The model has a 1M-token context window, supports text, image, video, and speech input, and is priced at a

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  4. Google BlogSelected

    Alphabet Q3 2026 Earnings: Revenue Up 25% Year-over-Year, Gemini App Reaches 1 Billion Users

    Alphabet's Q3 2026 revenue grew 25% year-over-year, with annualized revenue reaching $500 billion, and Google Cloud revenue up 103%. CEO Sundar Pichai said first-party model APIs process nearly 32 billion tokens per minute, 40% more than last quarter; the Gemini app has reached 1 billion users, making it the fastest-growing product in Google's history. A new model in the Gemini 4 series, Carbon, was also released that day; it ranks first on the Artificial Analysis Intelligence Index with a score of 59, will first be made available to select trusted cybersecurity defenders, and is being tested by the U.S. government.

    An infographic titled "Q3 Earnings Highlights: Alphabet now at half-trillion annual revenue run rate" featuring six metric cards: Alphabet (+25% Q3 Y/Y revenue growth to ~$128B), Search & Other Ads (+12% Search Q3 Y/Y revenue growth), Google Cloud (+103% Q3 Y/Y revenue growth), Gemini App (1B+ monthly active users), Gemini App API/Models (~32B tokens per minute, up 40% Q/Q), and YouTube (150M Music & Premium subscribers).

    Alphabet's Q3 2026 revenue grew 25% year-over-year, with annualized revenue reaching $500 billion, and Google Cloud revenue up 103%. CEO Sundar Pichai said first-party model APIs process nearly 32 billion tokens per minute, 40% more than last quarter; the Gemini app has reached 1 billion users, making it the fastest-growing product in Google's history. A new model in the Gemini 4 series, Carbon, was also released that day; it ranks first on the Artificial Analysis Intelligence Index with a score

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  5. Google DeepMind

    Google DeepMind Releases Gemini 4 Carbon, Focused on Cybersecurity and Long-Horizon Task Capabilities

    Google DeepMind has released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0, and achieving 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. The model is aimed at long-horizon engineering tasks; an internal team once had it run continuously for several days to investigate and fix hidden defects in a large codebase, and it rose to 4th place on WebDev Arena with 1,768 points. Starting this week, Carbon is first being made available to select cybersecurity defenders, then gradually expanding through the Fairwind Program, and only afterward to developers, enterprises, and consumers; after the introductory period, pricing is $4 per 1 million input tokens and $20 per 1 million output tokens.

    Faceted iridescent crystal surrounded by floating white number 4s.

    Google DeepMind has released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0, and achieving 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. The model is aimed at long-horizon engineering tasks; an internal team once had it run continuously for several days to investigate and fix hidden defects in a large codebase, and it rose to 4th place on WebDev Arena with 1,768 points. Starting this week, Ca

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Monday

  1. Zhidongxi

    ThunderSoft bets on robot brains and Agent AIOS, subsidiary Xiaowu Intelligence doubles down on industrial embodied intelligence

    At the ThunderWorld 2026 conference, ThunderSoft clearly positioned its robotics business as "robot brains + Agent AIOS," and provides complete deployment solutions in key vertical scenarios, while also releasing products such as AquaDrive AIOS 3.0, the TurboX platform, and the WiseEvolve enterprise AI operating system. Its controlled subsidiary Xiaowu Intelligence, targeting smart manufacturing and smart logistics, showcased a full-stack solution covering autonomous transport, fork-lift, embodied composite, and humanoid robots, adopting a unified Qualcomm chip controller and unified AIOS to support collaborative scheduling of multi-brand, multi-form robots. ThunderSoft does not build the robot body itself and does not make general-purpose robot brains; it has invested in Stardust Intelligence and two model vendors, and is developing a robot computing system based on the NVIDIA Thor platform.

    At the ThunderWorld 2026 conference, ThunderSoft clearly positioned its robotics business as "robot brains + Agent AIOS," and provides complete deployment solutions in key vertical scenarios, while also releasing products such as AquaDrive AIOS 3.0, the TurboX platform, and the WiseEvolve enterprise AI operating system. Its controlled subsidiary Xiaowu Intelligence, targeting smart manufacturing and smart logistics, showcased a full-stack solution covering autonomous transport, fork-lift, embodi

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Sunday

  1. Phoenix Technology

    DeepSeek and MiniMax Complete AI Model Overseas Registration, Compliance Pathway Implemented

    DeepSeek and MiniMax have completed the AI model overseas registration procedures, navigating the compliance process for open-source release and overseas licensing of large models. MiniMax's technology export registration this time covers some recently released and soon-to-be-released models, spanning both open-source release and overseas licensing scenarios. Previously, the Ministry of Commerce and the Ministry of Science and Technology publicly solicited opinions on October 16 regarding the revision of the Catalog of Technologies Prohibited or Restricted from Export in China, proposing to include 23 AI technologies within the scope of export controls.

    DeepSeek and MiniMax have completed the AI model overseas registration procedures, navigating the compliance process for open-source release and overseas licensing of large models. MiniMax's technology export registration this time covers some recently released and soon-to-be-released models, spanning both open-source release and overseas licensing scenarios. Previously, the Ministry of Commerce and the Ministry of Science and Technology publicly solicited opinions on October 16 regarding the re

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  2. Cailian Press

    DeepSeek and MiniMax complete AI model overseas registration, with compliance processes for open-source releases and overseas licensing now fully operational

    DeepSeek and MiniMax have completed the relevant registration procedures, fully establishing the compliance processes for the open-source release and overseas licensing of their large models. According to Science and Technology Innovation Board Daily, MiniMax's technology export registration this time covers some recently released and soon-to-be-released models, spanning two major scenarios: open-source releases and overseas licensing. Previously, on October 16, the Ministry of Commerce and the Ministry of Science and Technology jointly issued an announcement soliciting public comments on the revision of the Catalog of Technologies Prohibited or Restricted from Export in China, proposing to include 23 AI technologies within the scope of export controls.

    DeepSeek and MiniMax have completed the relevant registration procedures, fully establishing the compliance processes for the open-source release and overseas licensing of their large models. According to Science and Technology Innovation Board Daily, MiniMax's technology export registration this time covers some recently released and soon-to-be-released models, spanning two major scenarios: open-source releases and overseas licensing. Previously, on October 16, the Ministry of Commerce and the

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Saturday

  1. Yicai

    AI Startup Directions Still Divergent: Getting the Tech Right May Still Mean Getting the Business Wrong

    Ye Jun, former vice president of Alibaba Group, admitted candidly at the TGC Tech Growth Conference that large models are iterating too fast, and he worries that the agent platform built by his startup Shenkong Zhixu could be replaced by the next generation of models. Zhou Jie of General Atlantic pointed out that the boundary between AI-native applications and foundation model capabilities is unclear, some functions may be covered by big tech, and the technology curve and commercialization curve are not on the same timeline. Attendees were more optimistic about enterprise-oriented productivity scenarios, such as marketing, programming, and management spending.

    Ye Jun, former vice president of Alibaba Group, admitted candidly at the TGC Tech Growth Conference that large models are iterating too fast, and he worries that the agent platform built by his startup Shenkong Zhixu could be replaced by the next generation of models. Zhou Jie of General Atlantic pointed out that the boundary between AI-native applications and foundation model capabilities is unclear, some functions may be covered by big tech, and the technology curve and commercialization curve

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  2. Unite.AI

    How Do AI Video Generators Work? From Diffusion Models to World Simulation

    AI video generators produce temporally coherent frames from text, images, video, or control signals, while striving to maintain motion and scene consistency. The pipeline can be broken down into five steps: encoding prompts and reference materials, initializing a noisy spatiotemporal representation, jointly predicting motion and appearance, denoising or transporting the latent, and decoding, upsampling, and checking temporal consistency. The article emphasizes that the key difference from independent frame-by-frame image generation lies in the causal and consistency constraints across frames.

    AI video generators produce temporally coherent frames from text, images, video, or control signals, while striving to maintain motion and scene consistency. The pipeline can be broken down into five steps: encoding prompts and reference materials, initializing a noisy spatiotemporal representation, jointly predicting motion and appearance, denoising or transporting the latent, and decoding, upsampling, and checking temporal consistency. The article emphasizes that the key difference from indepe

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  3. Sina Tech

    China Mobile Joins Forces with Major Automakers to Launch Automotive Industry AI Foundation, Managing 112.7 EFLOPS of Computing Power

    The National Artificial Intelligence Application Pilot Base (Automotive Direction), led by China Mobile, released the first automotive industry AI foundation at the 2026 World Intelligent Connected Vehicles Conference. It manages 112.7 EFLOPS of computing power, covers four major domains—R&D, manufacturing, intelligent driving, and testing—and launches six intelligent agents, opening shared access to the entire industry starting today. Positioned as "neutral and not building cars, with fully open capabilities," the foundation bundles three major services—computing power, data, and models—so automakers can use them on demand without building their own, and related results have already been implemented at more than 10 central state-owned automakers.

    The National Artificial Intelligence Application Pilot Base (Automotive Direction), led by China Mobile, released the first automotive industry AI foundation at the 2026 World Intelligent Connected Vehicles Conference. It manages 112.7 EFLOPS of computing power, covers four major domains—R&D, manufacturing, intelligent driving, and testing—and launches six intelligent agents, opening shared access to the entire industry starting today. Positioned as "neutral and not building cars, with fully ope

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  4. 36Kr · AI

    Orange Cat Universe completes tens of millions Pre-A round financing, Gao Bingqiang invests in three consecutive rounds

    Pet smart hardware company Orange Cat Universe recently completed a Pre-A round financing of tens of millions of yuan, with Professor Gao Bingqiang and his Gaofeng Patience Fund, Qianhai Innovation Investment, and Changlei Venture Capital continuing to add investment; the funds will be used for technological innovation, product iteration, patent system development, and global offline channel expansion. The first product, PawSwing Neo, is a powerless pure-mechanical cat bed grooming collector, priced at about 200 US dollars, with a return rate of less than 3% and grooming efficiency of 3 to 4 milligrams per joule. In 2026, the company has entered Europe's largest pet specialty retail chain channel, with more than 3,000 offline stores stocking its products.

    Pet smart hardware company Orange Cat Universe recently completed a Pre-A round financing of tens of millions of yuan, with Professor Gao Bingqiang and his Gaofeng Patience Fund, Qianhai Innovation Investment, and Changlei Venture Capital continuing to add investment; the funds will be used for technological innovation, product iteration, patent system development, and global offline channel expansion. The first product, PawSwing Neo, is a powerless pure-mechanical cat bed grooming collector, pr

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Friday

  1. Smart City Industry Analysis

    Shanghai issues an action plan for AI empowering the industrial services sector, with a target of over 85% application penetration by 2028

    The Shanghai Municipal Commission of Economy and Informatization issued the "Shanghai Action Plan for Accelerating the High-Quality Development of AI-Empowered Industrial Services (2027-2028)," proposing that by 2028 the AI application penetration rate in the industrial services sector reach over 85%, strive to cultivate 10 digital-intelligent native unicorn enterprises, build 5 industry-level collaborative design platforms, and promote 500 high-quality enterprises to build Shanghai advanced-level smart factories. The plan focuses on full-chain upgrading across R&D and design, supply chain services, flexible manufacturing, embedded quality inspection, and predictive operation and maintenance deployment, and provides up to 20 million yuan in support for technical breakthroughs such as intelligent production scheduling and dispatching hubs, AI inspection equipment, and predictive operation and maintenance. The plan also proposes supporting industrial agent task planning and swarm collaboration, developing lightweight vertical small models adapted to self-developed AI chips, and providing up to 5 million yuan in subsidies for enterprises calling third-party large model APIs or deploying them privately.

    The Shanghai Municipal Commission of Economy and Informatization issued the "Shanghai Action Plan for Accelerating the High-Quality Development of AI-Empowered Industrial Services (2027-2028)," proposing that by 2028 the AI application penetration rate in the industrial services sector reach over 85%, strive to cultivate 10 digital-intelligent native unicorn enterprises, build 5 industry-level collaborative design platforms, and promote 500 high-quality enterprises to build Shanghai advanced-lev

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  2. 36Kr · AI

    Exiting after just 188 days, big-company AI products are accelerating their reshuffle

    36Kr sorted through the product moves of eight companies—Tencent, Alibaba, Baidu, ByteDance, and Moonshot AI, Zhipu, MiniMax, DeepSeek—across ten AI tracks over four years, finding that competition cycles have shortened, product lifecycles have grown shorter, and renaming, integration, and shutdowns have become the norm. Tencent QClaw went from public beta on March 20 to announcing service shutdown arrangements on September 24, just 188 days, with user data to be migrated to WorkBuddy; Alibaba's Qwen announced the upcoming release of its personal assistant product Qwen Go!. Alibaba and ByteDance cover all ten tracks, Tencent and Baidu each cover nine, and DeepSeek covers only two.

    36Kr sorted through the product moves of eight companies—Tencent, Alibaba, Baidu, ByteDance, and Moonshot AI, Zhipu, MiniMax, DeepSeek—across ten AI tracks over four years, finding that competition cycles have shortened, product lifecycles have grown shorter, and renaming, integration, and shutdowns have become the norm. Tencent QClaw went from public beta on March 20 to announcing service shutdown arrangements on September 24, just 188 days, with user data to be migrated to WorkBuddy; Alibaba's

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  3. 36Kr · AI

    Global Embodied Intelligence Industry Development Analysis Report 2026

    In the first half of 2026, global humanoid robot shipments were about 19,000 units, with Chinese manufacturers' share rising to over 97%; in 2025, global shipments were about 25,000 units, with China accounting for about 52%, and global embodied intelligence financing exceeded USD 11 billion. The report notes that the industry has entered its first year of mass production and a commercialization inflection point, but the ratio of intended orders to actual deliveries is only about 10%–20%, and commercialization remains a key bottleneck. China and the United States are positioned in a staggered manner along the value chain: the United States is strong in the "brain" and computing capital, while China is strong in the "body" and supply chain mass production.

    In the first half of 2026, global humanoid robot shipments were about 19,000 units, with Chinese manufacturers' share rising to over 97%; in 2025, global shipments were about 25,000 units, with China accounting for about 52%, and global embodied intelligence financing exceeded USD 11 billion. The report notes that the industry has entered its first year of mass production and a commercialization inflection point, but the ratio of intended orders to actual deliveries is only about 10%–20%, and co

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