探元计划是腾讯推动文化和科技深度融合，运用前沿数字科技焕活文化遗产的共创孵化项目。"探元计 划"资助那些从0到1的原创性、前瞻性项目。"探元计划2024"选择在景德镇资助一项基于时域技术的陶瓷 数字化光学孪生解决方案，用以建立"千馆万瓷"陶瓷文化遗产的数字资产版本库。 跟随2024探元计划，我们得以深入探访景德镇。（腾讯研究院高级研究员窦淼磊撰文） 一部中国陶瓷史，半部在景德镇。我们从小在历史课本里学过，景德镇瓷器在千百年来的中外贸易史 上，占据着重要位置。直到改革开放，景德镇瓷器外销还在为国家出口创汇做出重要贡献。 但在来到景德镇之前，我对这座城市当下的具体想象，几乎全由社交媒体塑造："千年瓷都"如今是手工 艺爱好者的天堂，是文艺青年的乌托邦。琳琅满目的独立工作室、熙熙攘攘的创意市集、短视频里游客 们专注地拉坯、主播们在直播间为"宝子""家人"一件件展示手作人的作品…… 在互联网上，景德镇展示着精致与闲适，"景漂"成了一种令人羡慕的生活方式选择。 景德镇随处可见涂鸦墙 而当我们真正来到这里，一个更为复杂的景德镇逐渐展开。最有人气的文旅地标陶溪川，由老国营宇宙 瓷厂改建。再现了明清瓷器商业街的明清园市集，也是 ...

Group 1: Qualcomm's AI Chip Launch - Qualcomm has released the fifth-generation Snapdragon 8 Gen 2 mobile chip, featuring a 20% increase in CPU performance, a 23% increase in GPU performance, and a 37% increase in NPU performance [1] - The Snapdragon X2 Elite series PC processor has an NPU computing power of 80 TOPS, achieving stable 5GHz operation on Arm architecture, with AI performance 5.7 times that of Intel's competitors [1] - The focus is on AI agent technology, enabling cross-device collaborative processing for seamless interaction among smartphones, glasses, watches, and other devices [1] Group 2: Meta's Code World Model - Meta has launched the first open-source code world model (CWM), innovatively applying world models to code generation tasks to predict execution outcomes and optimize generation quality [2] - The 32 billion parameter model achieved a score of 65.8% in the SWE-bench Verified test, placing it in the top tier of open-source models, close to the performance of the closed-source Gemini-2.5-Thinking [2] - Currently, CWM serves as a proof-of-concept demo, simulating Python program execution and agent interaction to validate the improvement in code generation effectiveness [2] Group 3: Google's Neural Operating System - Google has introduced a prototype of a "neural operating system" driven by Gemini 2.5 Flash, with an interface generated in real-time by AI without pre-coding, dynamically adjusting based on user interactions [3] - The core technology employs a dual-input mechanism of "UI charter + UI interaction," combined with interaction tracking and streaming generation technology for near-instantaneous response [3] - The generative UI map addresses stateless issues, providing session-specific memory caching and opening new research directions for intelligent human-computer interaction interfaces [3] Group 4: Shengshu Technology's Vidu Q2 - Shengshu Technology has launched the Vidu Q2 video generation model, marking a transition from "video generation" to "performance generation," capable of accurately depicting complex expressions and action scenes [4][5] - The new model shows significant improvements in lens language and semantic understanding, supporting complex camera transitions and precise prompt adherence for a "point-and-shoot" creative experience [5] - It offers flexible duration options of 2-8 seconds and a lightning mode that generates 5 seconds of 1080P video in just 20 seconds, balancing creative flexibility with rapid production efficiency [5] Group 5: JD's JoyAgent Update - JD has fully open-sourced its AI technology stack, including the enterprise-level agent JoyAgent 3.0, multi-agent framework OxyGent, and the medical large model Jingyi Qianxun 2.0 [6] - JoyAgent 3.0 has added DataAgent data analysis capabilities, achieving a validation set accuracy of 77% in the GAIA evaluation, with GitHub receiving 10.1k stars [6] - JD aims to build a technological ecosystem through systematic open-sourcing, lowering the barriers for AI implementation in enterprises and promoting industry standardization and collaborative development [6] Group 6: Quark's AI Creation Platform - Quark has launched the "ZaoDian AI" creation platform, integrating Midjourney V7 and Tongyi Wanshang Wan2.5, with MJ V7 offered at half price and Wan2.5 providing a 7-day free trial [7] - The platform supports AI-generated images and videos, maintaining the original effects of MJ V7 while lowering usage barriers, with Quark Image 1.0 specializing in Asian portraits and Chinese content generation [7] - Wan2.5 has been upgraded to support audio-visual synchronization, 10-second 1080P video output, and audio-driven features, significantly enhancing character consistency and practical creativity [7] Group 7: Jieyue's AI Desktop Companion - Jieyue AI has introduced a desktop companion "Xiao Yue," which resides in the upper right corner of the desktop, supporting multi-task execution and local file operations, with a "Miao Ji" feature for reusing operation steps [8] - Xiao Yue possesses autonomous task planning capabilities, handling complex tasks such as interview preparation, e-commerce tracking, and invoice organization, with support for scheduled tasks and system reminders [8] - Currently, the Mac version is available for invitation testing, while the Windows version is under development, with users able to download and apply for an invitation to experience it [8] Group 8: Zhiyuan's RoboBrain-Audio - Zhiyuan Research Institute has released RoboBrain-Audio, the first large model supporting native full-duplex voice dialogue, achieving "listen and speak" interaction with a response delay reduced to 80ms [10] - It innovatively uses a "natural monologue alignment" mechanism instead of word-level alignment, combining dual training paradigms (post-training + supervised fine-tuning) to reach industry-leading levels with only 1 million hours of data [10] - The model demonstrates superior performance in ASR, TTS, and full-duplex dialogue tasks, and will be integrated with the RoboBrain series to advance embodied intelligent voice interaction capabilities [10] Group 9: Skild AI's Skild Brain - Skild AI, valued at $4.5 billion, has launched the Skild Brain robot control system, trained in a virtual environment with 100,000 types of robot forms, capable of adapting to various faults and unseen robots [11] - The system exhibits strong adaptability, handling sudden situations such as limb loss and motor failures, quickly adjusting control strategies through contextual learning, with a memory window 100 times longer than traditional systems [11] - Founded by two CMU professors, the company has completed $414 million in financing, with investors including SoftBank, NVIDIA, and Sequoia Capital [11] Group 10: Terence Tao's Community Phenomenon Insights - Terence Tao presents a four-layer analytical framework for modern society, arguing that current technologies and incentive mechanisms empower individuals and large organizations while severely undermining the ecological niche of small organizations [12] - Small organizations can provide genuine social emotional connections and individual influence, while large organizations, despite economic advantages, create feelings of alienation and powerlessness among individuals [12] - He suggests recognizing the value of emerging grassroots organizations, which can offer individuals a sense of belonging and serve as meaningful channels connecting individuals with larger systems [12]

Core Insights - The article outlines five major breakthroughs in the evolution of intelligence, from the development of basic navigation in early organisms to the potential emergence of superintelligence in artificial entities [2][3][5][11]. Breakthroughs in Intelligence - **First Breakthrough: Turning** - Approximately 600 million years ago, early bilateral animals evolved a simple nervous system that allowed for basic navigation by distinguishing between positive and negative stimuli [2]. - **Second Breakthrough: Reinforcement** - Around 500 million years ago, the first vertebrates developed a brain structure that enabled learning from past experiences, establishing a foundation for emotional and cognitive traits [3]. - **Third Breakthrough: Simulation** - About 100 million years ago, early mammals developed the ability to mentally simulate actions and events, leading to advanced planning and fine motor skills [4]. - **Fourth Breakthrough: Mentalization** - Between 10 to 30 million years ago, early primates evolved the capacity to understand their own and others' mental states, enhancing social interactions and learning [5]. - **Fifth Breakthrough: Language** - Language emerged as a means to connect internal simulations, allowing for the accumulation of knowledge across generations [5]. Evolutionary Context - Human history can be divided into two main chapters: the evolutionary chapter, detailing the biological development of modern humans, and the cultural chapter, which encompasses the rapid advancements in civilization over the last 100,000 years [6][7]. - The article emphasizes the significance of the last 100,000 years in shaping human civilization, contrasting it with the extensive evolutionary timeline [6]. Future of Intelligence - The article posits that the next breakthrough may involve the emergence of superintelligence, where artificial entities surpass biological limitations, leading to unprecedented cognitive capabilities [9][10]. - It discusses the implications of this potential shift, including the redefinition of individuality and the evolution of intelligence beyond biological constraints [10][11]. Philosophical Considerations - The article raises critical questions about the goals of humanity as it approaches the sixth breakthrough, emphasizing the importance of values and choices in shaping the future of intelligence [11][12].

Group 1: AI Tools and Applications - Google has launched the Mixboard, an AI drawing tool supported by Nano Banana, allowing users to visualize ideas instantly using natural language [1] - Alibaba introduced the Wan2.5 Preview model, which can generate synchronized audio-visual videos, supporting 1080P HD video at 24 frames per second [2] - Kuaishou's Keling 2.5 Turbo model has significantly reduced costs by nearly 30% while improving the quality of generated sports action videos [3] - Mita AI has unveiled the "Agentic Search" mode, enabling users to perform multiple tasks simultaneously through a new search paradigm [4] - Suno has released its V5 model, claiming to be the most powerful music generation model to date, offering studio-quality sound [5][6] Group 2: Robotics and AI Development - Wang Xingxing from Yushu Technology highlighted the challenges in general robotics, including cable issues and AI chip power limitations [8] - The Google Cloud AI entrepreneur report emphasizes the importance of speed and innovation as core competitive advantages in the AI era [9] Group 3: AI Chip Market Dynamics - NVIDIA's investment of $5 billion in Intel is expected to reshape the PC and data center markets, posing a significant threat to AMD and ARM [10] - Huawei is emerging as a strong competitor in the AI chip sector despite facing U.S. sanctions, making progress in 7nm chips and custom HBM [10] - AI computing expenditure is projected to rise from $360 billion to approximately $500 billion, with Oracle capitalizing on major clients like OpenAI [10] Group 4: Future of AI Infrastructure - Sam Altman envisions a future where AI becomes a fundamental economic driver and a basic human right, proposing the establishment of factories to produce AI infrastructure [12] - He emphasizes that increasing computing power is key to generating revenue and plans to build substantial AI infrastructure in the U.S. [12]

Core Insights - Generative AI has nearly achieved full penetration among Chinese adults, fundamentally integrating into their daily work and study routines [2][4] - There exists a complex mindset among the public, characterized by high expectations for technological progress alongside deep anxieties regarding employment prospects, information authenticity, and social equity [2][5] Public Participation in AI - The survey indicates an impressive penetration rate of generative AI, with 96.2% of respondents having used AI-generated content (AIGC) products or features [4] - Over two-thirds (67.7%) of users engage with AIGC products daily, with 30% being heavy users who utilize these tools multiple times a day [5] - The primary motivations for using AI are text processing (72%) and information retrieval (70.9%), with learning (75.7%) and work (70.6%) being the main usage scenarios [5][26] Market Dynamics and User Willingness to Pay - Approximately 75% of users are either already paying (16.1%) or willing to pay for quality services (59%), with most paid subscriptions under 100 RMB per month [5][25] - The preference for local AI products is evident, with domestic applications like Doubao, DeepSeek, and Tencent Yuanbao leading the market [17] - Users exhibit a strong preference for monthly subscriptions (30.2%) and one-time payments (28.4%), indicating a demand for flexible payment options [22][23] Social Impact and Concerns - There is significant anxiety regarding the impact of AI on professional skills and job security, with 77% concerned about skill devaluation and 70% about job replacement [31][32] - The public perceives the primary risks of generative AI to be the spread of misinformation (60.4%), job displacement (59.7%), and privacy breaches (46.7%) [50][53] - The sentiment towards AI is mixed, with 50.2% expressing excitement about its application, while 46.3% feel both hopeful and anxious [42][45] Age and Education Correlation - Younger individuals show higher engagement with generative AI, with 73.9% of those aged 30-39 using it daily, and 69.4% in the 20-29 age group [8] - Higher education levels correlate with increased usage frequency, with 81.8% of respondents holding a graduate degree using AI daily [11] Future Outlook - The public's cautious optimism suggests a recognition of AI's potential benefits, with 71.9% believing its overall impact will be positive [45] - The demand for lifelong learning is anticipated to rise as individuals seek to enhance their skills in response to AI's influence on the job market [40]

一、 英伟达官宣向OpenAI投资1000亿美元！打造AI巨兽 生成式AI 1. 英伟达宣布与OpenAI建立战略合作关系，OpenAI将部署高达10吉瓦的英伟达系统，相当于400-500万块GPU算 力； 2. 英伟达计划在系统部署期间向OpenAI累计投资高达1000亿美元，首阶段系统将于2026年下半年基于英伟达Vera Rubin平台投入运营； 3. 双方将共同优化模型及基础设施软件、硬件的技术路线图，以推动OpenAI实现通用人工智能使命，消息公布后英 伟达股价上涨近4%。 https://mp.weixin.qq.com/s/2dYep4i5eH2U5bJ5jRGViQ 二、 无问芯穹推出基础设施智能体蜂群，开启Agentic Infra 1. 无问芯穹发布基础设施智能体蜂群，通过多智能体协同架构覆盖模型筛选、资源运营、排障和集群运维等多个模 块，实现基础设施全生命周期智能管理； 2. 该解决方案彻底改变传统IaaS→PaaS→MaaS→Agent应用间层层堆叠的生产模式，以智能体为自治核心构建高度 协同系统，显著提升资源利用率和运维效率； 3. 通过与捏TA和Soul等客户合作，成功将迭代速度提 ...

以下文章来源于中国数字出版 ，作者敖然 中国数字出版 . 聚焦"文化强国""数字中国""全民阅读"等国家重大战略实施，以推进数字技术与出版深度融合发展、促 进文化强国建设为宗旨，注重专业性、学术性、实用性、可读性，旨在为数字出版产业搭建高端交流平 台。 敖然 中国音像与数字出版协会常务副理事长兼秘书长 文章内容为《中国数字出版》2025年第5期专稿《游戏经济：概念界定、主要特性与发展路径》全文 文化，是经济发展的"助推器"。文化经济继农业经济、工业经济、商业经济之后，成为新兴经济门类， 包括文化经济化和经济文化化，其实质是文化与经济的交融互动、融合发展 [1] 。文化经济以文化资源 为核心要素，涵盖文化生产、流通、消费全链条 [2] 。 文化经济与数字经济密不可分。科技进步是文化经济增长的核心动力，推进文化产业从小型服务业发展 成为具有较大规模、完整生态的独立产业 [3] 。在数字技术、智能技术加持下，文化产业全链条得以升 级，创造出核心的、创意驱动的版权交易市场，也创造出拓展的、数据驱动的广告市场，以及内容产品 与服务带动的衍生市场，带来多维度、多种类的"产消一体"等新模式。同时，文化产业产生的衍生效用 借 ...

Group 1 - MediaTek launched the new flagship 5G AI chip Dimensity 9500, which uses a third-generation 3nm process and a full big-core architecture, integrating over 30 billion transistors, with NPU performance improved by 111% and power consumption reduced by 56% [1] - The chip features a dual NPU architecture for super performance and efficiency, introducing in-memory computing design and BitNet 1.58 bit quantization inference framework, supporting on-device model training [1] - In practical applications, it supports 128K long text processing and 4K quality image generation, with flagship new devices from manufacturers like vivo and OPPO set to utilize this chip for personalized AI scenarios [1] Group 2 - OpenAI has invested $16 billion in computing resources and plans to spend $350 billion on leasing services from 2024 to 2030, with an expected annual expenditure of $100 billion by 2030 [2] - The company signed a 5-year $300 billion computing power contract with Oracle, adding an extra $100 billion for backup servers, breaking the traditional tech giants' R&D cost model of 10%-20% of revenue [2] - OpenAI announced the upcoming launch of a compute-intensive new product in the coming weeks, but Pro users will need to pay extra, leading to user dissatisfaction [2] Group 3 - Google has introduced a new research paradigm for Agents, moving beyond the traditional "plan-retrieve-generate" model, allowing Agents to draft first and iteratively learn and correct [3] - The new framework employs a "diffusion denoising" process, enabling Agents to identify information gaps based on drafts and search for evidence externally, optimizing research content repeatedly [3] - Google has also incorporated multi-version intelligent self-critique and report-level denoising technology, outperforming OpenAI's DeepResearch in tasks like GAIA, and is available for trial in Google Agentspace [3] Group 4 - DeepSeek released the ultimate Terminus version of its model DeepSeek-V3.1, addressing user feedback with improvements in two main areas [4][5] - The new version alleviates language consistency issues such as mixed Chinese and English and further optimizes the performance of Code Agent and Search Agent [5] - DeepSeek-V3.1-Terminus is now available across official apps, web platforms, mini-programs, and DeepSeek API models, with the open-source version downloadable from Hugging Face and ModelScope [5] Group 5 - The Keling 2.5 video model has achieved significant breakthroughs in motion capabilities and expression performance, accurately depicting subtle facial expression changes and complex emotions while maintaining character consistency across different scenes [6] - The model seamlessly connects actions like falling, running, and riding a motorcycle, preserving realistic environmental interaction details and understanding complex causal relationships [6] - Keling 2.5 excels in action scenes, generating high-quality parkour, jumping, combat, and explosion scenarios, with greatly enhanced continuity and physical realism, currently in gray testing for super creators [6] Group 6 - Meituan's LongCat team has released the efficient reasoning model LongCat-Flash-Thinking, achieving advanced levels in logic, mathematics, coding, and agent capabilities while maintaining extreme speed [7] - The new model introduces a pioneering domain-parallel reinforcement learning training method, achieving threefold speedup through an asynchronous elastic shared card system, and features a dual-path reasoning framework to enhance agent capabilities [7] - In reasoning benchmark tests, it outperforms open-source models and performs comparably to top closed-source models like GPT-5 in tests such as AIME and LiveCodeBench, with formal reasoning capabilities significantly ahead of all participating models in the MiniF2F-test benchmark [7] Group 7 - Baidu's Qianfan-VL visual understanding model has been fully open-sourced, offering three configurations: 3B, 8B, and 70B, supporting OCR recognition and educational applications [8] - The model was developed by Baidu's team based on open-source models and completed all computational processes on its self-developed Kunlun chip P800, supporting single-task parallel computing at a scale of 5000 cards [8] - The Qianfan-VL series demonstrates chain-of-thought capabilities, full-scene OCR recognition, and complex document understanding, performing excellently in multiple benchmark tests, and is available for free experience on Baidu Smart Cloud [8] Group 8 - The 2025 "35 Innovators Under 35" Asia-Pacific list has been released by MIT Technology Review, featuring 35 innovators from fields such as AI, robotics, and materials [10] - Innovators like Xia Fei and Min Shiyuan have made breakthroughs in artificial intelligence, including embodied intelligence and non-parametric large language models [10] - China has the highest number of honorees, with 82 individuals selected over 11 editions as of 2024, surpassing Singapore's 76, reflecting a shift in the Asia-Pacific region from technology following to innovation leadership [10] Group 9 - The core team of Nano Banana suggests that the quality of image generation models is nearing its peak, with the next challenge being to integrate the "world knowledge" of LLMs into image models to understand user intentions [11] - While the quality ceiling of existing image models is close to being reached, there is still significant room for improvement in the "lower limit," with future developments focusing on enhancing "model expressiveness" and performance in complex scenarios [11] - Future interactive interfaces will integrate text, images, and voice, but user expectations for instant "finished product" generation are unrealistic, indicating that AI models and traditional tools will coexist in professional workflows for a long time [11]

Core Viewpoints - The question of whether AI leads to a decline in intelligence is not a binary issue and reflects a misunderstanding similar to questions from the industrial era [3][10] - Human cognition is still in its early stages of understanding, with human thought characterized by leaps and sudden changes that are not yet fully explained [3][8] - Current AI systems primarily absorb human knowledge, functioning more like a talking encyclopedia, but they lack the ability to interpret non-verbal cues and emotional contexts [6][8] Group 1: AI and Human Cognition - AI's learning is based on vast amounts of human-generated data, but the implications of the background and values of this data remain uncertain [4][12] - The interaction with AI should be seen as a collaborative process that enhances human thinking rather than a simple tool for information retrieval [11][15] - The importance of questioning and challenging AI outputs is emphasized as a means to foster deeper cognitive engagement [11][12] Group 2: The Role of AI in Education and Development - The development of foundational skills such as language, logic, and cognitive abilities is increasingly important in the AI era [13][14] - The concept of "companionship" in human development is paralleled in the potential market for private AI applications, such as AI companions and toys [4][14] - Educational approaches should shift towards cognitive enhancement rather than mere knowledge transmission, encouraging discussions with AI to deepen understanding [14][15] Group 3: The Digital Divide and Social Diversity - The emergence of AI has the potential to equalize knowledge access, but disparities in AI usage can widen the gap between different user groups [16] - The notion of an "intelligence gap" may stem from a misperception of one's position in society, highlighting the need for diverse perspectives [16] - The subjective experience of life and happiness varies greatly among individuals, underscoring the importance of embracing social diversity [16]

Group 1: Chrome Update - Chrome has undergone its largest update since its launch in 2008, integrating the Gemini AI assistant into the browser for enhanced functionality [1] - The address bar has been upgraded to the "Omnibox" which intelligently recommends questions based on page content and allows complex queries directly [1] - The new version utilizes Gemini Nano for enhanced security, identifying harmful websites and managing notifications, and is currently available to US users [1] Group 2: Notion 3.0 Launch - Notion 3.0 has been officially launched, introducing the Agent feature that can autonomously perform all Notion operations [2] - The Agent can work independently for up to 20 minutes, completing complex tasks across tools such as integrating customer feedback and updating knowledge bases [2] - The new version includes a highly personalized "memory bank" and will soon support custom Agents for automated tasks and team sharing [2] Group 3: Tencent's Mixed Reality Studio - Tencent has released the "Mixed Yuan 3D Studio," aimed at 3D design professionals, which integrates AI technology to streamline the entire 3D asset production process [3] - The platform reduces production time from days to minutes and offers a comprehensive pipeline for various 3D creative tasks [3] - It features the industry-leading Mixed Yuan 3D 3.0 model with innovative capabilities such as segmentation generation and material editing [3] Group 4: Alibaba's Wan2.2-Animate Model - Alibaba Cloud has open-sourced the Wan2.2-Animate model, which supports generating animations for characters and animals, applicable in short video creation [4] - The model enhances character consistency and generation quality, offering modes for character imitation and role replacement [4] - The development team has created a large dataset for training, surpassing closed-source models in subjective evaluations [4] Group 5: Luma AI's Ray3 Model - Luma AI has launched Ray3, the world's first inference video model, advancing AI video from experimental to professional use [5][6] - Ray3 allows for fine control over actions and camera movements, generating previews in just 20 seconds at a fraction of the final rendering cost [6] - The model supports high-fidelity motion and lighting interactions, integrating seamlessly into professional post-production workflows [6] Group 6: ElevenLabs Studio 3.0 - ElevenLabs has introduced Studio 3.0, a comprehensive AI audio-video editor that consolidates narration, music, sound effects, subtitles, and video editing into a single timeline [7] - The new version offers over 10,000 AI voices, automatic music generation, and multi-language subtitle capabilities [7] - This tool is designed for video creators, podcasters, and audiobook authors, with API support for large-scale workflows [7] Group 7: Xiaomi's Xiaomi-MiMo-Audio Model - Xiaomi has open-sourced its first native end-to-end speech model, Xiaomi-MiMo-Audio, with 7 billion parameters and over 100 million hours of pre-training data [8] - The model excels in natural dialogue, audio subtitling, and long audio comprehension, showcasing capabilities in speech conversion and style transfer [8] - The development team has introduced a lossless compression model and achieved state-of-the-art results in various benchmark tests [8] Group 8: Retro Biosciences' RTR242 Drug Trial - Retro Biosciences has announced the initiation of human trials for the RTR242 drug in Australia, aimed at activating the autophagy system in aging cells [9] - The company's mission is to clear accumulated proteins in the brain to extend healthy human lifespan by 10 years, differing from traditional Alzheimer's treatments [9] - OpenAI has assisted in optimizing protein interactions for the drug, with plans to raise $1 billion to compete with other longevity research firms [9] Group 9: AI-Generated Genome by Evo - The Arc Institute and Stanford University have utilized the Evo model to create the world's first AI-generated functional bacteriophage genome, marking a new era in generative gene design [10][11] - The research team developed a specialized annotation pipeline to identify all genes in the bacteriophage, resulting in genomes with numerous new mutations [10] - Experimental validation confirmed that the AI-designed genomes could infect specific host strains, demonstrating the model's ability to coordinate complex mutations [11] Group 10: OpenAI Codex Applications - OpenAI has publicly shared seven core applications of Codex within its team, including code understanding, refactoring, and performance optimization [12] - The technical team has utilized Codex to enhance efficiency and code quality through various tasks such as generating unit tests and modifying multiple files [12] - Six best practices for using Codex have been disclosed, focusing on analysis before code generation and maintaining context for improved output quality [12]