CVPR 2025，小鹏汽车拿出了什么成果 今年的CVPR线下会议在美国田纳西州纳什维尔举办，日期是6.11-6.15。观众老爷们看这篇推送的时候， CVPR才刚刚结束几个小时——新 鲜出炉 。 CVPR的自动驾驶分论坛 （Workshop on Autonomous Driving） ，历年都是业内极具影响力的技术风向标和盛会。比如2022年的WAD， Wayve首次披露了自己低传感器端到端路线方案，马上成为自动驾驶赛道炙手可热的明星公司；再比如，特斯拉最早在CVPR WAD上详细分 享了占用网络技术，随后成为业内悉数跟进的量产方案…… 今年的WAD，中国的 小鹏汽车是唯一一家受邀发表主题演讲的车企 。 贾浩楠 发自 凹非寺 量子位 | 公众号 QbitAI CVPR 2025 ，自动驾驶传来重大进展： Scaling Law ， 首次在这条赛道被验证！ 来自中国的 小鹏汽车 ，完整拿出了技术方案和AI司机"智能涌现"的成果。 自动驾驶的"ChatGPT时刻"，真的要来了吗？ 小鹏在演讲前一天，刚刚开启了最新SUV G7 的预售，创造了 量产L3级AI算力第一车 的纪录，单车算力超过2200TOPS，何小鹏 ...

真正的智能在于理解任务的模糊与复杂，Context Scaling 是通向 AGI 的关键一步。 2024 年底，Ilya Sutskever 断言「我们所知的预训练时代即将终结」，让整个人工智能领域陷入对 Scaling What 的集体追问之中。 新的思路不断涌现：推理时扩展（Test-Time Scaling）让 OpenAI 的 o 系列在数学推理上大放异彩， DeepSeek-R1 通过 GRPO 替代 PPO 实现了强化学习的突破，强化学习 Self-play + LLM 让 AI 在游戏和代码 生成中展现惊人能力，Agent 化路径则催生了能够操作浏览器、调用工具的新一代智能助理…… 每一条路 都在探寻可能的下一个跃迁。 在这场技术探讨中，复旦大学 / 上海创智学院的邱锡鹏教授提出了一个耐人寻味的新路径 ——Context Scaling。与参数规模、数据量、推理计算等扩展路径不同，Context Scaling 的核心，不在于更大，而在于更 「深」：如何让 AI 真正理解并适应复杂、多变、模糊的情境（Context）。 在与机器之心的最新一次对谈中，邱锡鹏教授系统阐述了他对 AI 发展的洞察： ...

Core Insights - The article discusses the resurgence of AI learning machines in the education sector, highlighting their growing popularity among parents and students amid the increasing influence of AI technology [1][3][11] - It questions the necessity and effectiveness of these devices compared to traditional learning methods and online educational apps, emphasizing the need for parents to evaluate their true value [5][22][23] Market Overview - The sales of learning machines in China are projected to exceed 7 million units this year, indicating a significant market potential valued in the hundreds of billions [3][11] - The online retail sales of AI learning machines grew by 136.6% in the first half of 2024, outpacing other educational products [13] Product Features - AI learning machines offer personalized tutoring and real-time updates to their question banks, distinguishing them from traditional learning machines that rely on pre-set content [7][8] - These devices create a focused learning environment by blocking distractions from games and social media, which is a significant advantage over general-purpose devices like tablets and smartphones [9] Competitive Landscape - The market is characterized by three main player categories: traditional education companies, tech firms, and established learning machine brands, each employing different strategies to capture market share [12][15][17] - Companies like Xueersi and Yuanfudao have leveraged their educational content and user base to re-enter the market successfully after facing challenges from regulatory changes [15] Challenges and Considerations - Despite the advantages of AI learning machines, their effectiveness largely depends on the student's engagement and the manner in which they are utilized [22][23] - Parents are advised to consider their financial capacity and the specific educational needs of their children before investing in these devices, as they may not be necessary for younger students [23]

Core Viewpoint - The article emphasizes the transformative impact of AI technology on business innovation and the necessity for companies to adapt their strategies to remain competitive in the evolving landscape of AI [1][2]. Group 1: OpenAI's Emergence - OpenAI was founded in 2015 by Elon Musk and Sam Altman with the mission to counteract the monopolistic power of major tech companies in AI, aiming for an open and safe AI for all [9][10][12]. - The introduction of the Transformer architecture by Google in 2017 revolutionized language processing, enabling models to understand context better and significantly improving training speed [13][15]. - OpenAI's belief in the Scaling Law led to unprecedented investments in AI, resulting in the development of groundbreaking language models that exhibit emergent capabilities [17][19]. Group 2: ChatGPT and Human-Machine Interaction - The launch of ChatGPT marked a significant shift in human-machine interaction, allowing users to communicate in natural language rather than through complex commands, thus lowering the barrier to AI usage [22][24]. - ChatGPT's success not only established a user base for future AI applications but also reshaped perceptions of human-AI collaboration, showcasing vast potential for future developments [25]. Group 3: DeepSeek's Strategic Approach - DeepSeek adopted a "Limited Scaling Law" strategy, focusing on maximizing efficiency and performance with limited resources, contrasting with the resource-heavy approaches of larger AI firms [32][34]. - The company achieved high performance at low costs through innovative model architecture and training methods, emphasizing quality data selection and algorithm efficiency [36][38]. - DeepSeek's R1 model, released in January 2025, demonstrated advanced reasoning capabilities without human feedback, marking a significant advancement in AI technology [45][48]. Group 4: Organizational Innovation in AI - DeepSeek's organizational model promotes an AI Lab paradigm that fosters emergent innovation, allowing for open collaboration and resource sharing among researchers [54][56]. - The dynamic team structure and self-organizing management style encourage creativity and rapid iteration, essential for success in the unpredictable field of AI [58][62]. - The company's approach challenges traditional hierarchical models, advocating for a culture that empowers individuals to explore and innovate freely [64][70]. Group 5: Breaking the "Thought Stamp" - DeepSeek's achievements highlight a shift in mindset among Chinese entrepreneurs, demonstrating that original foundational research in AI is possible within China [75][78]. - The article calls for a departure from the belief that Chinese companies should only focus on application and commercialization, urging a commitment to long-term foundational research and innovation [80][82].

Bank list Nation, we got John Sharono and Ryan Burkeman's on a debate today. Uh we're debating a handful of topics that all point towards each other. We're going to go through four different questions. We're probably going to touch on all of them if we have time.Is Ethereum special versus alt layer 1's. Is Bitcoin a special snowflake. How should ETH be valued.And is ETH over or undervalued. Ryan, welcome to Banklist. Thanks.Good to be here. And John, also welcome to Banklist. How's it going.I would like a c ...

论文第一作者为何浩然，香港科技大学二年级博士，他的研究方向包括强化学习、生成流模型（GFlowNets）以及具身智能，通讯作者为香港科技大学电子与计算 机工程系、计算机科学与工程系助理教授潘玲。 测试时扩展（Test-Time Scaling）极大提升了大语言模型的性能，涌现出了如 OpenAI o 系列模型和 DeepSeek R1 等众多爆款。那么，什么是视觉领域的 test-time scaling？又该如何定义？ 为了回答这一问题，最近 香港科技大学 联合 快手可灵团队 推出 Evolutionary Search （EvoSearch） 方法，通过提高推理时的计算量来大幅提升模型的生成质 量，支持图像和视频生成，支持目前最先进的 diffusion-based 和 flow-based 模型。EvoSearch 无需训练，无需梯度更新，即可在一系列任务上取得显著最优效果， 并且表现出良好的 scaling up 能力、鲁棒性和泛化性。 随着测试时计算量提升，EvoSearch 表明 SD2.1 和 Flux.1-dev 也有潜力媲美甚至超过 GPT4o。对于视频生成，Wan 1.3B 也能超过 Wa ...

证券研究报告 科技 AI 展望：New Scaling，New Paradigm，New TAM 华泰研究 2025 年 6 月 10 日│中国内地 中期策略 全球 AI 展望：New Scaling，New Paradigm，New TAM 展望全球 AI 发展趋势，1）模型端新架构正逐步探索，预训练 Scaling Law 有望呈现新起点；2）算力端训练与推理共同推动算力需求持续上行，有望 开启新 TAM，同时算力硬件设计进入新范式；3）应用端商业模式变革带来 新范式，Agent 在细分领域率先落地带来新 TAM。持续看好 AI 产业投资主 线，看好全球 AI 应用进入业绩收获期。 模型：预训练 Scaling Law 有望开启新起点 回顾近三个季度以来的大模型迭代情况，强化学习（RL）带来的后训练 test-time compute 依然是大模型的主流迭代方向。经典 transformer 架构下 模型参数规模或已达到了瓶颈，人类现有公开数据已接近被使用完。但值得 注意的是科技巨头在预训练阶段仍在继续尝试，以腾讯混元 Turbo S 与 Gemini Diffusion 为代表的大模型开始尝试在架构上进 ...

该项目来自百家 AI，是北京邮电大学白婷副教授所指导的研究小组， 团队致力于为硅基人类倾力打造情感饱满、记忆超凡的智慧大脑。 大语言模型受限于固定上下文窗口，长期对话中「失忆」、记忆断裂等问题频发，北邮 百家 AI 团队重磅推出首个大模型记忆操作系统开源框架 MemoryOS 。巧 妙融合计算机操作系统原理与人脑分层记忆机制，构建段页式三级存储架构及四大核心模块（存储、更新、检索、生成），提供全链路用户记忆管理方案，让 AI 智能体拥有 持久「记性」与深度「个性」 。 开源项目地址：https://github.com/BAI-LAB/MemoryOS 大型语言模型（LLMs）固定的上下文窗口如同狭窄的信息通道，导致 AI 在长期对话中频繁「失忆」, 常常导致记忆断裂、事实不一致，个性化交互体验也大打折 扣。现有提升 LLM 记忆能力的方法虽各有侧重（如知识提示、RAG 检索优化或模型参数驱动），但均缺乏一个统一的操作系统来对 AI 智能体的记忆进行系统 性、综合性的管理。 北邮百家 AI 团队突破性地提出记忆操作系统 MemoryOS ，旨在为 AI 智能体实现全面、高效的记忆管理。通过打造强大的「记忆操作 ...

Core Insights - Google has made significant strides in the AI competition, particularly with the launch of Gemini 2.5, positioning itself on par with OpenAI [1][4] - The future of Google Search is envisioned to integrate advanced AI models that will enhance user experience by providing valuable content through multi-path retrieval [4][13] - The company is currently in the AJI (Artificial Jagged Intelligence) phase, indicating notable progress but also existing limitations in AI capabilities [4][42] Group 1: AI Development and Integration - Google aims to deploy the strongest models in search, executing multi-path retrieval for each query to deliver valuable content [4][13] - Approximately 30% of code is generated with the assistance of AI prompts, leading to a 10% increase in overall engineering efficiency [32][34] - The company is focused on creating a seamless integration of AI into its products, with plans to migrate AI Mode to the main search page [4][18] Group 2: Search and Advertising Evolution - The traditional search interface is evolving, with AI becoming an auxiliary layer that provides context and summaries while still directing users to human-created content [14][19] - AI Mode is currently being tested by millions, showing promising early indicators of user engagement and satisfaction [15][18] - Future advertising strategies will be rethought to align with AI capabilities, ensuring that ads are presented in a natural and unobtrusive manner [16][17] Group 3: Challenges and Future Outlook - Scaling laws remain effective, but the company acknowledges limitations in computational power affecting model deployment [29][30] - The integration of AR (Augmented Reality) is seen as the next significant interaction paradigm, with Project Astra being crucial for the Android XR ecosystem [36][38] - The company anticipates that while AGI may not be achieved by 2030, significant advancements will occur across various dimensions of AI [42][44]

Core Insights - GoPro, Inc. has appointed Emily Culp to its Board of Directors, effective June 3, 2025 [1][2] - Emily Culp brings extensive experience as a Chief Marketing Officer and board advisor, having previously scaled revenues at BodyHealth from single digits to over $140 million between 2021 and 2025 [2] - Culp expressed enthusiasm about joining GoPro, highlighting her background in scaling consumer brands and driving omni-channel strategies to support GoPro's innovation and shareholder value creation [3] Company Overview - GoPro is recognized for its strong global brand and growth potential, focusing on helping users capture and share immersive experiences [3] - The company has been acknowledged as an employer of choice by Outside Magazine and U.S. News & World Report, indicating a positive workplace environment [4]