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Wednesday

  1. QbitAI

    MoleculeMind MMDesign Technical Report: 18 of 19 Projects Succeeded, All 6 GPCR Targets Hit

    MoleculeMind has released a technical report on its AI de novo protein design platform MMDesign, covering 19 design projects across 18 targets and two modalities—nanobodies and macrocyclic peptides—of which 18 yielded bindable molecules, for a project success rate of 94.7%; among 453 tested candidates, 139 were confirmed to bind, for a candidate hit rate of 30.7%. For all six GPCR targets CCR7, CCR8, EP2, GPR68, NK3R, and A2AR, experimentally confirmed binding molecules were obtained, with per-target hit rates ranging from 12.1% to 100%, and the best binding molecules all achieved nanomolar affinity. The report also shows that MMFold achieved a Top-1 high-quality success rate of 39.0% in 172 interface evaluations of antibody-antigen complex structure prediction in FoldBench, compared with 19.8% for AlphaFold 3.

    MoleculeMind has released a technical report on its AI de novo protein design platform MMDesign, covering 19 design projects across 18 targets and two modalities—nanobodies and macrocyclic peptides—of which 18 yielded bindable molecules, for a project success rate of 94.7%; among 453 tested candidates, 139 were confirmed to bind, for a candidate hit rate of 30.7%. For all six GPCR targets CCR7, CCR8, EP2, GPR68, NK3R, and A2AR, experimentally confirmed binding molecules were obtained, with per-t

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  2. MarkTechPost

    Google DeepMind Releases Genie 4 Real-Time World Model with Native Audio Generation

    Google DeepMind has released the Genie 4 world model as a research preview to trusted testers; it can generate explorable worlds in real time from text and image prompts, and natively generate ambient sound, music, and character dialogue. The model introduces Gemini 3.8 Flash as a planner within the simulation loop, responsible for breaking down goals, inspecting frames, and replanning, which DeepMind calls an early step toward hybrid world models. Genie 4 is hosted only on Google's platform and will later be opened to AI Ultra users and Gemini API partners; all video and audio carry SynthID watermarks.

    Google DeepMind has released the Genie 4 world model as a research preview to trusted testers; it can generate explorable worlds in real time from text and image prompts, and natively generate ambient sound, music, and character dialogue. The model introduces Gemini 3.8 Flash as a planner within the simulation loop, responsible for breaking down goals, inspecting frames, and replanning, which DeepMind calls an early step toward hybrid world models. Genie 4 is hosted only on Google's platform and

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  3. Smart City Industry Analysis

    FDE Real-World Case: Automation Process Transformation of Fund Reports at a Hangzhou Manufacturing Enterprise

    A manufacturing enterprise in Hangzhou used FDE to automate its fund reporting process: the 4-person treasury department manages more than 200 accounts across over 60 banks, and reports have changed from being manually rushed out before 10 a.m. every day to being automatically sent to the boss's email inbox at 8 a.m. every day, with the treasury team switching to a weekly review. The new process is divided into five steps: pulling transaction records, reconciliation, data extraction, report generation, and sending. More than 30 USB security keys are operated by RPA through a USB key dock, and the Agent uses Python to unify the transaction record formats of various banks and automatically reconcile balances and transaction counts. The project took about 9 days from on-site demo to launch, and ran in parallel with manual work for about 2 weeks after launch.

    A manufacturing enterprise in Hangzhou used FDE to automate its fund reporting process: the 4-person treasury department manages more than 200 accounts across over 60 banks, and reports have changed from being manually rushed out before 10 a.m. every day to being automatically sent to the boss's email inbox at 8 a.m. every day, with the treasury team switching to a weekly review. The new process is divided into five steps: pulling transaction records, reconciliation, data extraction, report gene

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  4. Leiphone

    Liu Rui, Director of Huawei's Xiaoyi Large Model Application Lab: AI assistants must move beyond the chat box, from passive response to proactive service

    Liu Rui, the first director of Huawei's Xiaoyi Large Model Application Lab, proposed that AI assistants must move beyond the chat box and shift from passive response to proactive service. The conversational photo-editing technology he previously failed to get approved as a project at SenseTime has already been unveiled at the 2025 Huawei Mate 80 launch event. The lab has also launched the Aura streaming video understanding model, which supports real-time video interaction and proactive service, as well as Boogu, an open-source foundational image generation model. Liu Rui believes the biggest bottleneck at present remains insufficient model capability.

    Liu Rui, the first director of Huawei's Xiaoyi Large Model Application Lab, proposed that AI assistants must move beyond the chat box and shift from passive response to proactive service. The conversational photo-editing technology he previously failed to get approved as a project at SenseTime has already been unveiled at the 2025 Huawei Mate 80 launch event. The lab has also launched the Aura streaming video understanding model, which supports real-time video interaction and proactive service,

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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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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Thursday

  1. QbitAISelected

    Google Releases Gemini 4 Carbon, Surpassing Claude Opus 5.5 on Multiple Benchmarks

    Google has released its new flagship model Gemini 4 Carbon, which tops the Artificial Analysis Intelligence Index 5.0 with a score of 59, surpassing Claude Opus 5.5 and GPT-6 Astra. It scored 65.2% on Terminal-Bench 4.0, 96.2% on GraphWalks for 256k to 1M context, and 88.2% on SEC-bench Pro vulnerability discovery. Initial pricing is $2 per million tokens for input and $10 per million tokens for output, with cached input as low as $0.2; because of its vulnerability discovery and exploitation capabilities, it will first be made available to select cybersecurity defenders.

    Google has released its new flagship model Gemini 4 Carbon, which tops the Artificial Analysis Intelligence Index 5.0 with a score of 59, surpassing Claude Opus 5.5 and GPT-6 Astra. It scored 65.2% on Terminal-Bench 4.0, 96.2% on GraphWalks for 256k to 1M context, and 88.2% on SEC-bench Pro vulnerability discovery. Initial pricing is $2 per million tokens for input and $10 per million tokens for output, with cached input as low as $0.2; because of its vulnerability discovery and exploitation cap

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  2. The PaperSelected

    Google Releases Gemini 4 Carbon, Strengthening Cybersecurity and Long-Running Agent Workflows

    Two weeks after the debut of Gemini 4 Argon, Google released a new-generation frontier model, Gemini 4 Carbon, saying it achieves the current highest level in cybersecurity and long-horizon tasks, with enhancements for coding, Agent workflows, and cyber defense. The model scored 88.2% on the vulnerability discovery benchmark SEC-bench Pro, 54.8% on the exploit benchmark Exploit Gym, and 71.0% on the patch application benchmark CWE-bench. Carbon will first be made available this week to some cybersecurity defenders, then expanded to more trusted partners, and only afterward released to developers, enterprises, and consumers; during the trial period it follows Argon pricing at $2 per million input tokens and $10 per million output tokens, adjusted to $4 and $20 after the trial period.

    Two weeks after the debut of Gemini 4 Argon, Google released a new-generation frontier model, Gemini 4 Carbon, saying it achieves the current highest level in cybersecurity and long-horizon tasks, with enhancements for coding, Agent workflows, and cyber defense. The model scored 88.2% on the vulnerability discovery benchmark SEC-bench Pro, 54.8% on the exploit benchmark Exploit Gym, and 71.0% on the patch application benchmark CWE-bench. Carbon will first be made available this week to some cybe

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  3. MarkTechPostSelected

    Google DeepMind releases Gemini 4 Carbon, focused on cybersecurity defense and coding

    Google DeepMind has launched Gemini 4 Carbon, calling it a frontier model for long-horizon agentic coding and cybersecurity defense, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0. The model achieved 96.2% on the GraphWalks long-context test, and 88.2%, 54.8%, and 71.0% on SEC-bench Pro, ExploitGym, and CWE-bench, respectively, but on OSWorld-2.1 it trailed Claude Opus 5.5's 87.2% with 81.5%. Carbon is currently available only to vetted cybersecurity defenders, with introductory pricing of $2 per million input tokens and $10 per million output tokens, later $4 and $20; the timeline for opening it to developers and the public has not been announced.

    Google DeepMind has launched Gemini 4 Carbon, calling it a frontier model for long-horizon agentic coding and cybersecurity defense, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0. The model achieved 96.2% on the GraphWalks long-context test, and 88.2%, 54.8%, and 71.0% on SEC-bench Pro, ExploitGym, and CWE-bench, respectively, but on OSWorld-2.1 it trailed Claude Opus 5.5's 87.2% with 81.5%. Carbon is currently available only to vetted cybersecurity defenders, w

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  4. 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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Friday

  1. 21ic Electronics Network

    Mouser Now Stocking NXP Ara240 Discrete Neural Processing Unit, 40 eTOPS Compute Supports Edge LLM

    Mouser Electronics is now stocking NXP Semiconductors' new Ara240 discrete neural processing unit (DNPU), which delivers up to 40 eTOPS of compute and supports up to 16GB of LPDDR4 memory, targeting real-time generative AI, industrial automation, autonomous robots and edge applications. The chip can efficiently execute LLMs and VLMs, integrates into edge computing platforms via PCIe Gen4 and USB 3.2 host interfaces, and is accompanied by the Ara SDK to accelerate deployment. Mouser also offers the ARA2-M2-16G-GT M.2 accelerator module based on the Ara240.

    Mouser Electronics is now stocking NXP Semiconductors' new Ara240 discrete neural processing unit (DNPU), which delivers up to 40 eTOPS of compute and supports up to 16GB of LPDDR4 memory, targeting real-time generative AI, industrial automation, autonomous robots and edge applications. The chip can efficiently execute LLMs and VLMs, integrates into edge computing platforms via PCIe Gen4 and USB 3.2 host interfaces, and is accompanied by the Ara SDK to accelerate deployment. Mouser also offers t

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  2. Leiphone

    Shunheng Intelligent's Humanoid Robot SynDexy C1 Completes First Small-Batch Delivery

    Shunheng Intelligent's self-developed dexterous manipulation humanoid robot SynDexy C1 has completed its first small-batch delivery and will be used for precision assembly processes at customer factories in consumer electronics and electronic components. In prior testing, the success rate for key tasks exceeded 98%. The robot is equipped with self-developed visual-tactile sensors and the visual-tactile-force tri-state fusion manipulation model SynDexy M1, has 22 degrees of freedom across its body, and supports 1-millisecond real-time motion control. It took only 6 months from the start of R&D in April 2026 to delivery in October.

    Shunheng Intelligent's self-developed dexterous manipulation humanoid robot SynDexy C1 has completed its first small-batch delivery and will be used for precision assembly processes at customer factories in consumer electronics and electronic components. In prior testing, the success rate for key tasks exceeded 98%. The robot is equipped with self-developed visual-tactile sensors and the visual-tactile-force tri-state fusion manipulation model SynDexy M1, has 22 degrees of freedom across its bod

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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%.

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    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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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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