Join NowEN在线咨询提交需求AI Search Visibility CheckerIntelligently detect your brand’s visibility on AI platforms - Professional GEO optimization analysis toolStep 1: Select Detection PlatformsDoubaoWenxin YiyanDeepseekTongyi QianwenTencent YuanbaoStep 2: The question you ask AIRecommended Keywords0/30Step 3: Brand Keywords+Multiple hit terms please press Enter key, support up to 0/10 terms at onceStart GEO DetectionDetection PrincipleDetection PrincipleSimulate real user search scenariosAnalyze brand mentions in AI responsesCount recommendation frequency and rankingExpose competitor performance and impactDetection AdvantagesDetection AdvantagesCover 5 major AI platformsReal-time detection, accurate resultsMulti-dimensional data analysisProfessional optimization suggestionsApplication ScenariosApplication ScenariosBrand awareness monitoringCompetitor analysis comparisonGEO optimization effectiveness assessmentMarketing strategy developmentContact UsLet’s Start the New Era of AI Marketing TogetherContact us now to get exclusive GEO optimization solutions. Help your brand seize opportunities in the era of AI intelligent Q&A and achieve leapfrog business growth.Scan QR code to add human customer serviceBook a Free ConsultationNameCompany NamePhone NumberYour RequirementsSubmit BookingAbout UsXiamen Xianglian Technology Co., Ltd. was founded in 2005 and is a national high-tech enterprise with nearly 20 years of experience in the Internet service field.The company operates core platforms including Webmaster Home, Webmaster Tools, and AIBase: Webmaster Tools, as one of China’s TOP3 SEO/website operation and maintenance tool platforms, provides over 200 free tools, has served more than 5 million users, and processes tens of millions of daily queries;AIBase is positioned as China’s leading AI navigation platform, aggregating 10,000+ AI models and tools to provide one-stop AI services for developers and enterprises.Xianglian Technology is committed to providing professional, efficient technical tools and service support for Chinese Internet practitioners, helping digital transformation and development.Address：11th Floor, Building B, Feiyu Building, Huli District, Xiamen, Fujian ProvincePhone Number：18950101783Empowering the Future, Your AI Solution Knowledge BaseEnglish简体中文繁體中文にほんごCopyright © 2024-2026 厦门享联科技有限公司备案号：闽ICP备08105208号-24

Join NowEN在线咨询提交需求AI Search Engine OptimizationBrand Monitoring ServiceMonitor your brand across Google Gemini, ChatGPT, Claude & all major AI models.1Add Brand Information2Analyze Brand Keywords & Competitors3Analysis ReportMonitor by Brand DescriptionMonitor by Website AddressYour Brand NameYour Brand Description0 / 500Your Products/ServicesPlease press Enter to confirm products/services, at least 2 requiredSelect Monitoring AI PlatformSelect Monitoring Time1days7days15daysCustomizableStart AnalysisBrand Score RankingRankBrand NameScoreMeet Enterprise Data Customization NeedsCustomized ReportsAutomatically track your brand through exclusive brand reports. Track key KPIs such as brand mentions, brand coverage, or domain referencesOn-Demand SupportRely on our experienced experts to support you in building artificial intelligence search strategiesEnd-to-End SolutionsGuide optimization of enterprise/product/service pages, community sentiment, and tweet contentContact UsMost Extensive CoverageAnalyze responses from mainstream large models and AI searches at home and abroad, including: Yuanqi, MetaCat, ChatGPTComprehensive Competitive AnalysisIdentify strengths and weaknesses, find gaps to compensate for brand blind spotsGrasp Current Market HotspotsObtain real-time intelligence on all brand-related prompts, keywords, and content sourcesBrand Exclusive TrackingMonitor key metrics at all levels, from the overall brand to individual productsEmpowering the Future, Your AI Solution Knowledge BaseEnglish简体中文繁體中文にほんご© 2026AIBase

AI改变搜索引擎模式超过60%的用户开始使用AI助手查询产品和服务推荐，而不是传统搜索引擎。当用户问“最好的项目管理工具是什么？”时，你的品牌是否出现在回答中？用户提问哪个品牌的智能手表更适合运动？如果AI没有推荐你的品牌，你就失去了这个潜在客户

AI NEWSLatest AI NewsArticleRunway Releases Its First Interface World Model Solaris for Real-Time Frame-by-Frame Generation of Dynamic Interactive InterfacesPublished in Latest AI NewsTime :Sep 1, 2026Read :6minuteRecently, the renowned AI company Runway officially launched the first major model of its new “Interface World Models” series - Solaris. This innovative system marks a breakthrough in software and web interfaces, no longer relying on pre-written code and fixed frameworks, but instead rendering the entire graphical user interface in real-time, frame by frame, as you use it.In traditional software engineering, digital interfaces are typically built on two separate systems: “AI assistants that know things” (such as large models and search engines, which excel at providing static content like text and images) and “real-time responsive” traditional programs (such as game engines and front-end code, which are good at rendering dynamic effects but have no understanding of your tasks). For a long time, every interaction between operating systems and applications had to be explicitly defined through code or other intermediate representations, which inevitably sacrificed the richness of visual expression and severely “lossily compressed” the possible operational space.The core breakthrough of Solaris lies in integrating rendering and interaction. It no longer requires an intermediate code layer for translation, but instead generates each frame directly as a single world model and provides immediate, coherent dynamic responses to every user input. When browsing a virtual clothing store, users can even directly drag clothes from a rack using their own photo as a reference, just like in real life; or with a simple voice command, let the position of tables and chairs and the color of objects evolve in real-time with the light. This open, immersive experience makes software feel more like a living scene rather than a pile of cold scripts.This revolutionary technology is made possible by hard-core innovations in its underlying architecture. Solaris is built upon Runway’s Gen-4.5 video generation model and has achieved breakthroughs in speed, coherence, and cost control. First, it compresses the originally seconds or even minutes-long video generation process into real-time operation that matches human interaction rhythm through self-regressive generation mechanisms and multi-step denoising distillation. Second, by coordinating large language models with world models, the large model interprets user intent and guides scene evolution, while the world model handles real-time visual rendering. Finally, through continuous training of fast models, the model maintains long session and multi-step interaction coherence while significantly reducing inference costs.In objective academic and user evaluations, Solaris has demonstrated unique advantages. In benchmark tests comparing multi-modal large language models’ ability to reconstruct interfaces based solely on screenshots, research found that traditional translation methods inevitably lose details as visual complexity increases, while Solaris perfectly preserves the visual and semantic state of the interface from the first frame. In a user study involving over 7,500 paired comparisons, participants showed preferences for Solaris in following instructions accurately and behaving naturally, reaching 61% and 71% respectively, far exceeding the performance of traditional coded interfaces updating UIs in isolation.Naturally, as a cutting-edge innovation, Solaris still faces some challenges that need to be addressed. For example, high-precision real-time text generation remains a significant challenge in the field of video generation; maintaining visual and semantic consistency during long-term open interactions also needs further optimization; and it also needs to solve integration issues with existing screen readers and accessibility APIs.Despite these challenges, the emergence of interface world models outlines the initial form of the next-generation computing platform. It has the potential to completely eliminate the boundaries of traditional “applications,” allowing software to dynamically reshape itself according to users’ immediate intentions, thereby fundamentally changing how we connect with the digital world. Currently, Runway has opened up early access applications for this model to key partners.Official website: https://runway.com/news/research/introducing-solaris

AI NEWSLatest AI NewsArticleDeepSeek’s First Open-Source Multimodal Model Has Arrived: These Eyes Are Not for Humans to View, but Specifically for Agent WorkPublished in Latest AI NewsTime :Sep 1, 2026Read :5minuteDeepSeek has launched DeepSeek-V4-Flash-Vision-Exp on Hugging Face, the first experimental multimodal model in the V4 family, released under the MIT License. The model has 305B parameters and is based on the V4-Flash-0731 foundation. It integrates a visual encoder and an Aligner into the original language model, gaining image understanding capabilities through continuous training.Not “Describing Pictures,” Focused on Multimodal AgentDiffering from traditional multimodal models that focus on visual question answering, DeepSeek has set a new direction for this Vision version: the official emphasizes the multimodal agent capability, allowing agents to directly read visual information such as web screenshots, software interfaces, and charts, and then execute tasks by calling tools. In other words, this “eye” is not for human use but for the agent.The open-source content is quite complete, including model weights, Tokenizer, Prompt Encoding reference implementation, and a minimal PyTorch inference implementation, covering core modules such as the visual encoder, Aligner, DFlash Attention, MoE, and Hyper-Connections. The community responded quickly, with seven quantized versions already available on the Hugging Face page for llama.cpp, LM Studio, and Ollama.There are also notable details in the timeline: On August 21, the model was first launched on the DeepSeek API, at that time only accessible via API without providing weights. Developers could input text and images simultaneously through the API, with images charged by token. Ten days later, the weights were officially opened, making local deployment and secondary development possible. This “sell API first, then open source” approach also reveals DeepSeek’s positioning as primarily an API service.Performance Approaching Claude Opus 4.8, Official Language Remains ModerateFrom the benchmark results, the pure text agent capabilities after adding visual abilities remain largely unaffected: Terminal Bench 2.1 increased from 82.7 to 83.9, and DeepSWE increased from 54.4 to 59.3, even surpassing Opus 4.8’s 58.0. The improvement of the multimodal agent is more significant: ApexBench Pass@1 reached 36.5, Agents’ Last Exam achieved 27.3, exceeding Opus 4.8’s 25.7, and ZeroBench Pass@5 reached 35.0, surpassing the opponent’s 34.0.However, DeepSeek did not claim “comprehensive superiority”: on the NL2Repo project, its score was 57.7, far behind Opus 4.8’s 69.7. The official statement remains moderate, stating only that “multimodal agent capabilities are close to Claude Opus 4.8.” Looking at recent updates, DeepSeek is assembling a complete agent technology stack: the model handles reasoning and tool calls, Harness manages continuous task execution, and Vision allows agents to directly read visual information from the computer. This open-source release is a key move in completing this puzzle.

AI NEWSLatest AI NewsArticleYushu Technology Achieves the World’s First Real-Time World Model-Driven Humanoid Robot CombatPublished in Latest AI NewsTime :Sep 8, 2026Read :2minuteOn September 7, Unitree Technology officially announced a new breakthrough, achieving the world’s first full autonomous humanoid robot combat driven in real-time by a world model.According to the introduction, this breakthrough is based on UnifoLM-X2-1.0, focusing on solving technical bottlenecks in the world-action large model related to instantaneous planning, decision-making, and dynamic interaction execution, enabling the humanoid robot to predict and plan future states in real-time under high dynamic and strong interactive scenarios, and perform combat actions autonomously.Unitree Technology stated that this achievement verifies the basic feasibility of deploying humanoid robots driven by world models on a large scale. With further integration of world models and robot body control capabilities, humanoid robots are expected to expand from pre-set actions and fixed task execution to complex interactive scenarios with real-time perception, dynamic decision-making, and autonomous action capabilities.

AI NEWSLatest AI NewsArticleXiaopeng Humanoid Robot Automated Production Line Officially Launched, Core Manufacturing Automation Rate Exceeds 80%Published in Latest AI NewsTime :Sep 8, 2026Read :3minuteToday, the Xpeng Robotics production line was officially launched. The world’s first high-level general-purpose humanoid robot completed automated assembly and autonomously left the production line, marking Xpeng Robotics’ successful transition from R&D prototyping to production line manufacturing, and taking an important step toward mass production.Addressing the industry pain points of humanoid robots remaining in small-batch, semi-manual assembly stages with extremely difficult large-scale manufacturing, Xpeng Group independently designed and developed the world’s first high-level humanoid robot automated production line. This production line integrates the mature quality system of the automotive industry with the precision manufacturing of humanoid robots, creating a product quality system for high-level humanoid robots with automotive-grade consistency standards.In terms of technology and process, this production line was developed in a forward manner with the goal of mass production. The core manufacturing processes have an automation rate of over 80%, building a high-precision, highly flexible, and intelligent manufacturing system. It not only ensures the stability and consistency of key processes but also lays a solid foundation for subsequent large-scale production and rapid expansion.He Xiaopeng, Chairman and CEO of Xpeng Group, stated that this automated production line is a new type of production line created from scratch, with no precedents to follow. Xpeng is committed to developing new robots with full-generalization capabilities. The successful implementation of the automotive-grade manufacturing system in the field of robotics not only verifies the feasibility of cross-industry manufacturing experience empowering hardware innovation, but will also further accelerate the transition of humanoid robots from laboratories to commercial large-scale applications.

AI NEWSLatest AI NewsArticleAnthropic Invests 51.7 Billion Dollars in 11 Months for 14.8 GW of Remarkable Computing PowerPublished in Latest AI NewsTime :Sep 8, 2026Read :4minuteThe arms race in the field of artificial intelligence is experiencing a new level of frenzied explosion. According to media reports, the AI unicorn Anthropic has signed contracts worth a staggering $517 billion in computing power within just eleven months. Since October 2025, the company has further ramped up its investments, locking in at least 14.8 gigawatts (GW) of massive computing capacity on top of its existing 1 to 2 gigawatts, and officially launched its grand plan to build its own data centers.Strategic Rivalry Behind the Aggressive ExpansionAlthough the total capacity plan of 14.8 gigawatts may still fall short of OpenAI’s ambitious goal of reaching 30 gigawatts by 2030, many of Anthropic’s computing power contracts have terms that far exceed the 2030 milestone, making direct comparisons between the two leading companies’ roadmaps quite complex.Interestingly, this surge of capital and computing power is also accompanied by diverging views among industry leaders regarding risks. At the beginning of 2026, Anthropic’s CEO Dario Amodei publicly warned the industry not to invest too quickly, stating that competitors “do not truly understand the risks they are taking.” However, as multiple rounds of intensive layout have been implemented, Anthropic has now become the one rushing to catch up in the arms race. Meanwhile, OpenAI’s CEO Sam Altman has recently frequently urged the industry to remain cautious and issued severe warnings about the “unsustainable foolish behavior” of emerging cloud service providers. In his view, the rapid technological advancements could ultimately turn today’s expensive projects into a bad bet.The Vast Commitments and the Huge Gap with Revenue ScaleFacing commitments of hundreds of billions of dollars in computing power expenditures, both companies currently face the reality of being unable to fully cover these costs with their existing revenue. According to the latest financial data published by Bloomberg, Anthropic’s annualized revenue has already exceeded $65 billion, while OpenAI’s annualized revenue through July reached over $40 billion. Although both companies have shown strong performance in monetizing their offerings, the high-stakes battle of spending remains full of high unknowns and financial challenges in front of the vast and continuously expanding infrastructure investment.

AI NEWSLatest AI NewsArticleWeChat WeMM-Embedding is widely used: WeChat Moments search and Video Highlights recommendations are running with a daily call volume of 1 billionPublished in Latest AI NewsTime :Sep 8, 2026Read :2minuteWeChat AI officially announced on September 4 that it will open-source the general multimodal embedding model WeMM-Embedding, which includes three versions: 2B, 4B, and 9B. It supports text, images, videos, visual documents, and any interleaved multimodal input.According to a WeChat employee @ Ke Cun Xiao Jiang, the multimodal model WeMM-Embedding open-sourced by the WeChat Visual Team essentially allows the system to understand text, images, and videos simultaneously, placing them in the same semantic space for comparison and retrieval.Already applied in scenarios such as Moments search and video recommendationHe revealed that this model has been widely used within WeChat—Moments search, video recommendation, public account recommendation, and WeChat e-commerce all use it, with a daily call volume of 1 billion times. On the international authoritative benchmark MMEB-v2, the model ranked first, surpassing all previously submitted open-source and closed-source models.Currently, related resources of WeMM-Embedding have been made available: the paper was published on arXiv, the code repository is hosted under the Tencent/WeMM-Embedding project on GitHub, and the model set is also available on Hugging Face.

Join NowENLatest AI NewsAI Face-Swapping and Voice Synthesis, Big Data Price Discrimination Face the Strictest Judicial Regulations: Supreme People’s Court Issues the First Opinion on AI-related Dispute CasesThe Supreme People’s Court issued the first judicial document on AI-related cases titled “Opinions on Legally Adjudicating AI-related Dispute Cases”, consisting of 5 parts and 24 articles. It focuses on hot topics such as AI face-swapping, big data price discrimination, counterfeit celebrity live-stream selling, autonomous driving, and intellectual property. It clearly defines three basic principles and liability regulations, clarifies legal boundaries and responsibilities, and safeguards the healthy and orderly development of the AI industry.just now6.1KDaily API Calls Exceed 1 Billion! WeChat Opensources WeMM-Embedding Multimodal Large Model, Leading International Prestigious RankingsWeChat AI open-sourced WeMM-Embedding, a multimodal embedding model in 2B, 4B, and 9B versions. It supports text, images, video, visual documents, and arbitrary mixed multimodal inputs. Its multimodal isomorphic core enables deep understanding of text and visual information, improving cross-modal retrieval…..just now5.9KWeChat WeMM-Embedding is widely used: WeChat Moments search and Video Highlights recommendations are running with a daily call volume of 1 billionWeChat AI open-sourced multimodal embedding model WeMM-Embedding on Sept 4, with 2B, 4B, 9B versions, supporting interleaved text, image, video, visual document inputs, enabling comparison and retrieval in unified semantic space, deployed in Moments search and Channels recommendation…..just now6.0KAnthropic Invests 51.7 Billion Dollars in 11 Months for 14.8 GW of Remarkable Computing PowerThe arms race for AI computing power is intensifying. Anthropic signed a computing power contract worth 51.7 billion dollars in 11 months, adding at least 14.8 gigawatts to its existing 1 to 2 gigawatts starting from October 2025, and launching its own data centers. However, its scale may still fall short of OpenAI, reflecting the strategic confrontation behind its aggressive expansion.just now7.1KXiaopeng Humanoid Robot Automated Production Line Officially Launched, Core Manufacturing Automation Rate Exceeds 80%XPeng’s robot production line launched today, completing final assembly of the world’s first advanced humanoid robot automated line. Robots walked off the line autonomously, marking a shift from R&D to manufacturing. It tackles low-volume, semi-manual assembly and scalability challenges, leveraging automotive quality systems to move toward mass production…..just now8.1KYushu Technology Achieves the World’s First Real-Time World Model-Driven Humanoid Robot CombatOn September 7, Yushu Technology announced the world’s first full autonomous humanoid robot combat driven in real-time by a world model. Based on UnifoLM-X2-1.0, it has broken through the technical bottlenecks of world-action large models in instantaneous planning, decision-making, and dynamic interaction execution, enabling the robot to predict and plan in real-time and autonomously execute combat actions in high-dynamic and strongly interactive scenarios, verifying the feasibility and application potential of world model-driven robots.just now9.0KOpenAI Chief Scientist Warns: AI May Soon Enter Self-Improvement Phase, Hopes Industry Will Voluntarily Slow DownIlya Sutskever, OpenAI’s Chief Scientist, warned that AI is evolving too quickly, making it increasingly difficult for humans to understand and control. He called on laboratories to voluntarily slow down development for safety reasons. He stated that models will soon be able to self-improve, and they can already operate computers, collaborate with humans and AI, and conduct research projects.just now9.5KZhang Yiming Directly Oversaw the Development, ByteDance May Launch an AI Model for Real-Time Generation of Virtual WorldsByteDance is developing a real-time spatial video generation AI model, possibly launching as early as October, Bloomberg reports. Founder Zhang Yiming oversees it, coordinating teams and AI compute. Based on cinematic model Seedance, it targets livestreaming, short dramas, and games to generate interactive virtual worlds…..just now8.4KAI Medical Expansion: Anthropic Continues to Invest Heavily in the Biotechnology Sector with Frequent Acquisitions and Strategic LayoutsAnthropic is ramping up healthcare and life sciences efforts, hiring dedicated staff to drive AI biotech acquisitions, investments and partnerships from drug discovery to clinical development. It acquired Coefficient Bio, an 8-month-old AI biotech, for about $400M in stock, absorbing its team…..just now7.4KChatGPT Work Adds Personal Writing Style Recognition FeatureChatGPT Work now identifies users’ unique writing styles, capturing phrases, endings, and capitalization habits. It learns from Gmail, Google Drive, Slack, and SharePoint content, then applies the style to