对话嘉宾 | 李建忠、 Lukasz Kaiser 出品 | CSDN（ID：CSDNnews） 今年开年之际，DeepSeek R1 配合前年年末 OpenAI o1 轰炸了整个 AI 圈子，随后强化学习之父 Rich Sutton 荣获图灵奖，又是用一篇论文向大家宣 告了强化学习、经验时代这些词汇将成为 2025 的主题，我们可能都难免这么觉得： 推理模型 的时代已经来了！ 但接下来的一个观点却刷新了我的认知：Transformer 核心发明者之一、OpenAI 科学家 Lukasz Kaiser 就直言，目前的推理模型还处在当年 GPT 都 没出来的机器学习阶段， 未来还需要一个 Transformer 创新级别的推理模型。 而近期，这位定义了大模型核心架构的关键人物，就与奇点智能研究院院长、CSDN 高级副总裁李建忠一道，在 CSDN 的《AI 进化论》栏目中展开了一 场关于 "大模型的第一性思考" 的深度对话。 Lukasz Kaiser 是 AI 领域最具影响力的科学家之一，2017 年他与其他七位谷歌同事（后称"Transformer 八子"）共同撰写了那篇开创性的论文 《Attention I ...

B端战场的AI（ 人工智能 ）叙事正持续升温。 一位押中"杭州六小龙"的投资人近日向《每日经济新闻》记者（以下简称"每经记者"）透露："目前AI领域的投资，基本以看B端的AI项目为主，核心考量的 是商业化闭环和变现能力。" 在评估AI商业化的竞赛中，一个关键指标正被推至台前：Token（计算机领域多场景使用的数字标识符）。这一指标正如同 互联网 时代的"用户数"，成为衡 量AI公司实际采用规模与增长潜力的核心标尺。而眼下，一个正在发生的事实是，Token的调用量正快速增长。 在9月底举行的云栖大会上，谈及AI在各行业的应用， 阿里云 智能集团通义大模型业务总经理徐栋向包括每经记者在内的媒体表示："在一年前，很多模型 的调用量都是来自于离线的打标，特定的一些娱乐性的场景会多一点。但最近半年，很明显的变化是，在线任务大幅上升，不少互联网公司、 消费电子 企 业的大部分交互已经开始由大模型来取代了。" 另一方面，AI技术本身也在进化，从单一的大语言模型向多模态演进，业内对AI的讨论也从生成式大模型向 空间计算 进化，从Copilot（助手）切换到 Agent（智能体），从纯 软件 端向软硬件一体摸索。 AI技术带来 ...

以下文章来源于AIZOO ，作者元峰 AIZOO . 每日分享计算机视觉（CV）和深度学习的资讯、博文、教程，分享大佬的经验。CV圈的朋友们快快进来吧。 作者 | 元峰 来源 | AIZOO 原文链接： 分享一下近期换工作面试的一些事 点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近30个 方向 学习 路线 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 本文只做学术分享，如有侵权，联系删文 年前的时候换了个工作，从外卖厂离职了。离职之前，恰好有假期，基本上一个月都在疯狂的面试，平均一天都得六个面试，特此记录分享一下。 下图是 24年9月的面试日历，基本上整整一个月都在面试，我看了一下，有几天竟然是8场面试，真的是累的不轻，眼睛都很干涩。其实，面试的时候，精神的 高度聚焦的，这样一天下来，简直比上班都累。 | | 周一 | | 周二 | | 周三 | 周四 | 周五 | | 周六 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 三十 | 2日 八月初一 | | 3日 初二 | | 4日 初三 | ...

Core Viewpoint - Dongfang Securities predicts Kuaishou-W (01024) adjusted net profit for 2025-2027 to be CNY 19.6 billion, CNY 23 billion, and CNY 25.9 billion respectively, with a target price of HKD 99.07 per share, maintaining a "Buy" rating [1] Group 1: Financial Projections - The adjusted net profit forecast for Kuaishou-W is CNY 19.6 billion in 2025, CNY 23 billion in 2026, and CNY 25.9 billion in 2027 [1] - The estimated reasonable value of Kuaishou-W is CNY 391.1 billion, equivalent to HKD 428.1 billion, based on a 17x PE valuation for 2026 [1] Group 2: Business Strategy and Performance - Kuaishou is expected to leverage its bottom model iteration to maintain a leading position, with the 2.5 Turbo version anticipated to drive user growth and revenue through a combination of performance upgrades and a 30% price reduction [1] - The core business is benefiting from AI-driven efficiency improvements, with the OneRec content recommendation system supporting community ecosystem health and AI restructuring of the commercialization system providing long-term growth momentum [1]

此外， 数据体系的构建为 TradePilot 2.0 提供了坚实支撑 。XTransfer 打造了全流程自主的数据生 产体系，从 采集、清洗、增强等形成闭环 。数据来源涵盖外贸知识库、外贸金融数据、行业公开数 据等，通过多渠道整合构建多模态数据池；清洗环节结合自动化筛选与人工审核，剔除低质量数据； 增强阶段则利用主动学习、数据合成技术扩大规模并优化分布。这套体系确保了数据的独立性、可靠 性与专业性，为模型在复杂外贸场景的精准表现奠定基础。 多模态能力深度强化，场景应用持续拓展 作者 | 冬梅 2024 年 6 月，XTransfer 自研外贸金融大模型 TradePilot 落地，在与 GPT-4 等国内外知名大模型的 外贸金融专业知识测评中，以综合得分第一的成绩获得诸多关注。该模型迅速在智能风控、智能客服 等领域落地应用，不仅进一步保障了 B2B 跨境贸易结算的安全与合规，更切实提升了中小微外贸企 业的运营效率。 时隔一年，XTransfer 在 2025 云栖大会上正式推出 TradePilot 2.0 版本，通过全面升级的技术能力 与强化的多模态特性，为外贸金融行业数智化转型注入新动能。 技术架构全面 ...

Group 1 - The core theme of the event was "Integration of Computing and Networking to Strategize the Future" focusing on the AI industry policy in Shanghai [1] - Shanghai's AI industry is projected to exceed 450 billion yuan in 2024, with a year-on-year growth of 12.3% in the first half of this year, achieving the "14th Five-Year Plan" goals ahead of schedule [1] - The Shanghai Municipal Economic and Information Commission emphasized the commitment to high-quality development, optimizing the policy environment, and strengthening infrastructure for AI [1] Group 2 - The event featured discussions on policy direction, technological frontiers, and ecosystem construction in the AI industry [2] - Key industry figures highlighted the importance of multimodal development and embodied intelligence as essential trends in AI, with humanoid robots being significant carriers [2] - Shanghai has actively responded to the national "AI+" initiative, implementing various policies to enhance resource allocation and promote industry upgrades [2]

Group 1 - The core viewpoint is that artificial intelligence (AI) is transforming various aspects of life and industry, evolving from a tool to an intelligent partner that understands human needs deeply [1][11]. - AI is becoming an integral part of infrastructure, reshaping work, life, and social operations, with emerging technologies driving profound industry changes [3][11]. - The MEET2026 Intelligent Future Conference will focus on the evolving AI technology industry, inviting representatives from technology, industry, and investment sectors to discuss cutting-edge topics [11][14]. Group 2 - The MEET Intelligent Future Conference is in its seventh year, attracting industry leaders and experts to share insights, with participation from major tech companies and academic figures [6][9]. - The conference has seen increasing attendance, with thousands of tech professionals participating and millions of online viewers, establishing itself as a key event in the smart technology sector [9]. - The upcoming conference will feature the release of the "2025 Annual AI Trends Report," highlighting significant AI trends and their potential impact [14].

Core Viewpoint - The article emphasizes the transformative impact of artificial intelligence (AI) on various industries and society, marking the beginning of a new era where AI becomes an integral part of infrastructure and daily life [1][7]. Group 1: AI Integration and Evolution - Intelligent technology has deeply penetrated production and daily life, evolving from mere tools to intelligent partners that understand human needs [2]. - AI is no longer confined to specific fields but transcends industry, discipline, and scenario boundaries, creating new ecosystems and opportunities [3]. - Emerging technologies such as multimodal, AR/VR, and spatial computing are blurring the lines between the digital and physical worlds [4]. Group 2: MEET2026 Conference Overview - The MEET2026 Intelligent Future Conference will focus on the theme "Symbiosis Without Boundaries, Intelligence to Ignite the Future," inviting leaders from technology, industry, and academia to witness industry transformation [5][7]. - This year marks the seventh edition of the MEET Intelligent Future Conference, which attracts thousands of tech professionals and millions of online viewers, establishing itself as an annual barometer for the intelligent technology industry [9][12]. - The conference will feature prominent figures such as Dr. Kai-Fu Lee and Professor Zhang Yaqin, along with leaders from major tech companies like Baidu, Alibaba, Tencent, and Huawei [9]. Group 3: AI Trends and Awards - The "2025 Artificial Intelligence Annual List" will recognize influential figures and companies in the AI sector, with results announced at the MEET2026 conference [16][17]. - The awards will evaluate companies, products, and individuals across three dimensions, including outstanding enterprises and innovative solutions [18][19]. - An annual report on the top ten AI trends will also be released, analyzing significant trends and their potential impact on the industry [22]. Group 4: Event Logistics - The MEET2026 conference is scheduled for December 2025 in Beijing, China, with registration details to be announced soon [24]. - The organizing company is actively seeking partnerships with excellent enterprises, media, research institutions, and investment organizations to explore collaborative opportunities [25].

Core Viewpoint - Digital technology is profoundly reshaping the cultural and tourism industry, with technological innovation becoming the core driver to address development pain points and stimulate consumer vitality [1] Group 1: Transformation of Tourism Consumption - Tourism consumption is shifting from "superficial sightseeing" to "deep immersion," from "single-point service" to "full-domain intelligence," and from "offline limitations" to "cross-domain interaction" [1] - New technologies such as artificial intelligence, virtual reality (VR), and ultra-high-definition are acting as "experience reconstructors," "demand activators," and "boundary expanders," injecting strong momentum into new tourism consumption [1] Group 2: Immersive Experience Reconstruction - Traditional tourism experiences are being transformed by new technologies, allowing visitors to become participants rather than mere observers, which enhances ticket sales, secondary consumption, and repeat visit rates [2] - The National Grand Theatre's "second scene" utilizes ultra-high-definition technology to break the time-space limitations of performance consumption, achieving nationwide cultural dissemination [2] - VR technology is being used to convert "one-time experiences" into "sustainable consumption," significantly lowering content adaptation and distribution costs across different venues [2] Group 3: Intelligent Service Integration - The core pain point in tourism consumption is the mismatch between service and demand, which is being addressed by intelligent service systems powered by AI and big data, enabling personalized service [4] - AI-driven products like "Starfire Companion" enhance the travel experience by providing in-depth knowledge and dynamic adjustment of explanation strategies [4] - Intelligent robots are addressing service coverage issues, with significant interaction volumes reported, indicating a high level of engagement [4] Group 4: Cross-Domain Integration - New technologies are not only optimizing existing tourism consumption scenarios but also breaking the traditional perception of tourism as merely "scenic spots," promoting deep integration with transportation, gaming, and content creation [5] - The "Star Light Train" exemplifies the integration of tourism and transportation, offering combined ticketing options that unlock new thematic travel possibilities [6] - Gaming is evolving into a comprehensive media form that enhances cultural dissemination and user engagement through interactive advertising [6] Group 5: International Expansion of Tourism Technology - The international expansion of tourism technology is pushing consumption scenarios onto the global stage, with innovations like 360-degree immersive projection technology being promoted in Southeast Asia [6] - The overall transformation of tourism consumption is characterized by becoming "more immersive, more intelligent, and more open," injecting lasting vitality into the consumer market [6]

Core Insights - The AI industry is at a pivotal moment, transitioning from large models to multimodal systems, agents, and embodied intelligence, indicating a convergence of technological singularity and commercial explosion [1] Investment Trends - Three key investment areas are currently favored: computing power, agents, and "AI + industry" applications [2] - Ant Group has focused on computing power companies, emphasizing the need to address token consumption and energy support for future personalized agents [2] - Ming Shih Venture has invested in several fast-growing agent companies, highlighting that even the best agents currently score only 30-40 out of 100, suggesting a significant market for those achieving 50-60 [2] - Jingwei Venture is particularly interested in the integration of AI with various industries, including consumer electronics and robotics [2] Smart Agent Landscape - The smart agent sector is divided into general and vertical agents, with the former having higher potential but also greater risks [3] - Ant Group primarily invests in vertical agents, focusing on large market space and strong willingness to pay [3] - Investors are advised to avoid competing directly with large model capabilities to mitigate risks from technological upgrades [3] - A "dumbbell strategy" is suggested, investing in both high-risk general directions and stable To B applications [3] Chinese AI Development - China is leading in AI applications, particularly in the deployment of smart agents, due to its extensive experience in internet and mobile internet sectors [4] - The current generation of entrepreneurs is younger and more technically adept, with a higher barrier to entry compared to previous generations [4] Entrepreneurial Characteristics - Investors favor entrepreneurs with unique insights into technology and strong commercial acumen [5] - The ideal entrepreneur is seen as passionate yet imperfect, capable of creating great products despite potential irrationality [5] - Experience in AI should not exceed three years, as the field has evolved significantly [5] Future Outlook - There is a strong belief that the next generation of super intelligent agents will predominantly emerge from Chinese entrepreneurial teams [6]