Group 1 - McDonald's has increased the prices of several menu items by 0.5 to 1 yuan, including various burgers, snacks, and meals, with the Big Mac and Double Filet-O-Fish both rising by 1 yuan [3][4] - The "1+1 Flexible Combo" meal, humorously referred to as the "poor man's meal," remains unchanged at a starting price of 13.9 yuan, although some combinations within it have seen a 1 yuan increase [4] Group 2 - In Shenzhen, a restroom has been equipped with glass that turns transparent when smoke is detected, aimed at discouraging smoking [5] Group 3 - The breakfast combo at Mixue Ice City priced at 7.9 yuan has faced criticism for being expensive, as consumers compare it to cheaper local options [7][8] - The breakfast items sold at Mixue are pre-packaged rather than freshly made, leading to perceptions of lower value compared to local street food [7][8] Group 4 - The U.S. has seen a rise in tuition fees at several universities, with total costs for a bachelor's degree nearing 2.8 million yuan, particularly at prestigious institutions [9] Group 5 - Nasdaq has filed to extend trading hours to nearly 23 hours on weekdays, aiming to enhance trading flexibility [7] Group 6 - The first L3 level autonomous driving vehicles in China have received approval for commercial testing, marking a significant step towards the commercialization of autonomous driving technology [10]

2025年末，一位中国创业者再度引爆科技圈。 国际顶级期刊《自然》新鲜出炉的年度十大科学人物榜单上，DeepSeek创始人梁文锋赫然在列。 要知道，该榜单每年仅甄选十位真正推动科学进步的领军者。梁文锋的入选，源自其带领团队研发的 DeepSeek大模型对全球AI格局的颠覆性重塑。 而这并非他与《自然》的首次邂逅——今年9月，他作为DeepSeek-R1论文核心作者已登上期刊封面， 短短三月内再次上榜，实力毋庸置疑。 正如《自然》赋予他的"Tech disruptor"评语，这位40岁的创业者已是公认的AI领域革命者。 接连的高光时刻，让梁文锋的崛起之路格外耀眼。他与估值1.05万亿的DeepSeek所缔造的传奇，究竟是 时运眷顾还是实力使然？ 一、破局者之路，从10万到万亿的逆袭 长期以来，海外科技巨头始终认定中国AI难触核心技术，只能在产业链下游挣扎。然而，一位年轻企 业家的实践路径，正在系统性地扭转这一认知。 2013年，职业生涯起步阶段的梁文锋带着有限资本，进入变幻莫测的金融市场。当时他对人工智能的理 解尚处于探索阶段，却已展现出敢于挑战常规的勇气与远见。 两年后，他创立幻方科技，专注于量化投资这一专业 ...

就在刚刚，DeepMind首席科学家给出惊人预测：2028年最小AGI或将降临，大规模失业就在眼前，如今，人类正站在风暴的十字路口。没有 准备的人，将被迎头痛击！ AGI，究竟何时到来？ 最近，Google DeepMind首席AGI科学家兼Shane Legg在访谈中大胆预测：最小AGI将有50%的可能性在2028年实现！ 最小AGI（Minimal AGI）： 能完成人类典型认知任务，他预测2028年有50%的概率实现。 完全AGI（Full AGI）： 能实现人类认知所能达到的全部能力范围（例如发明新理论、创作艺术作品）。 超级智能（ASI）： 远超人类认知能力。 总之，AI发展的终极，绝非人类智能。 最终，超级智能ASI将超越人类能力，给我们的经济、社会带来全方位的结构性变革，最终重构一个人类的新世界！ 规模与算法，AGI的关键 「我们正站在变革的拐点，而大多数人甚至还未意识到。」 根据他的观点，如今AGI的发展已经远非火花，而是到达了临界点。 他提出了AGI发展的三层境界—— —— Shane Legg，Google DeepMind 联合创始人 过去，谈论AGI的人，常被视为「狂热分子」。 如今， ...

生成式AI 一、GPT-5.2上线的24小时，X 大批网友给 GPT-5.2 打差评？ 1. OpenAI十周年发布GPT-5.2系列号称"最强专业知识工作模型"，但上线24小时后X平台和Reddit用户集体差评， 认为其过于平淡、安全审查过度、情商堪忧； 2. SimpleBench测试显示GPT-5.2得分低于一年前的Claude Sonnet 3.7，在garlic有几个r等简单问题上回答错 误，LiveBench得分低于Opus 4.5和Gemini 3.0； 3. 最受诟病的是安全拒绝机制过于严格，用户反馈模型共情力和语境感知能力下降，在情感支持场景中给出机械且脱 离现实的建议。 https://mp.weixin.qq.com/s/xiOX9i6V-yfnn0pyC6ZlTA 二、OpenAI发布同时，谷歌推出Gemini Deep Research Agent 1. 谷歌在GPT-5.2发布前一小时推出全新版Gemini Deep Research Agent，基于Gemini 3 Pro构建并通过多步强 化学习训练提高准确性减少幻觉； 2. 新版在Humanity's Last Exam测试集 ...

Core Viewpoint - The recent launch of GWM Worlds and GWM Robotics by Runway pushes video generation towards an interactive "world simulation" paradigm, reigniting discussions on the definition and scope of "world models" as interfaces for creation and interaction, simulators for training and evaluation, or cognitive frameworks for reasoning and decision-making [1]. Group 1: Evolution of World Models - Over the past two years, world models have evolved to be considered on par with LLMs in the AGI landscape, transitioning from a narrow definition focused on reinforcement learning to a broader understanding that includes generative modeling [4]. - Initially, world models were seen as internal environment models for agents, predicting future states based on current conditions and actions, allowing for internal simulation and decision-making [5]. - The engineering perspective defined world models as a combination of three capabilities: compressing high-dimensional perception into usable representations, predicting future states over time, and utilizing predictions for planning and decision-making [6]. - By 2024, the understanding of world models expanded to encompass general world evolution modeling, with a trend from language generation to image generation, and ultimately to 3D and world generation [6]. - The boundaries of the world model concept have become more ambiguous, with ongoing debates about the nature of representations, the incorporation of physical laws, and the organization of input relationships [6]. Group 2: Industry Layout and Trends - Major companies are investing in world models, questioning whether they are enhancing their "data engines" or building new frameworks for "spatiotemporal cognition" [3]. - In February 2024, OpenAI referred to the video generation model Sora as "world simulators," emphasizing their ability to learn the three-dimensional structure and physical laws of the real world [6]. - Concurrently, LeCun introduced V-JEPA, which focuses on predicting masked video segments in abstract representation space, allowing for higher training efficiency by discarding unpredictable information [6]. - The current discourse has shifted from whether to develop world models to how to model them, with debates on whether to abstract from pixel levels or to directly operate in abstract spaces [7]. - There is a recognition that existing approaches may only capture partial physical laws, indicating a need for representations of isolated objects and a priori laws of change across space and time to achieve a coherent world model [7]. Group 3: Definition and Ambiguity of World Models - By 2025, world models are positioned alongside LLMs, with companies like Google DeepMind, Meta, and Nvidia shifting focus from pure LLMs to world models, aiming for "Physical AI + superintelligence" due to stagnation in LLM advancements [8]. - The distinction between world models and existing generative AI lies in the former's goal to construct internal representations of environments that include physical, temporal, and spatial dimensions for planning and decision-making [9]. - The term "world model" has become ambiguous, referring to latent states within systems, game-like simulators for training agents, or any content pipeline capable of generating navigable 3D scenes [9]. - An analysis from Entropy Town in November 2025 categorized world models into three technical routes: interface, simulator, and cognitive framework, highlighting the ongoing ambiguity in the field [9].

"安永企业家奖"2025获奖名单正式公布，十二位来自中国内地和中国香港/澳门的杰出企业家获得了"安永企业家奖"2025殊荣。 让我们来认识一下获奖企业家。 安永企业家奖2025获奖者 科技业 黄伟博士是云知声创始人兼CEO，他毕业于中国科学技术大学，获信号与信息处理博士学位。作为国内最早一批从事人工智能语音语义相关研究的科研人 员，曾主导开发全球首款手机声纹认证系统，连续三年获美国国家标准技术署说话人识别评测的世界第一。2012年，黄伟博士洞察到人工智能语音语义技 术的商业化前景，创立云知声，并带领企业于2025年6月成功登陆香港交易所主板市场，成为"AGI第一股"，也是全球首批实现大模型商业化的人工智能 企业，公司市值后续一度突破600亿港元。 黄伟博士深耕AI领域多年，是国内AI产业重要推动者。在他的带领下，云知声主要以包括大模型技术、智算平台、多模态交互技术、AI芯片、领域知识 图谱等的全栈式AI硬核技术为核心，并以成熟且领先的工程化能力实现了在医疗、家居、楼宇、教育、交通、汽车、政务、金融等十余个实体经济场景 下的AI应用落地，取得了骄人的发展成绩。 黄伟博士连续五批参与国家"科技创新2030"新一代 ...

觉得大模型消耗的算力过大，英伟达推出的8B模型Orchestrator化身「拼好模」，通过组合工具降本增效，使用30%的预算，在HLE上拿下37.1%的成 绩。 最近，NVIDIA Research发现，只要经过适当微调，小模型已足以「指挥」大模型 英伟达研究团队的新模型Orchestrator仅有 80 亿参数（8B）的模型，不仅比以往的工具使用类AI智能体准确率更高、成本更低，还能在工具选择上精准对 齐用户的偏好。 在HLE基准测试中，Orchestrator斩获了37.1%的高分，一举超越了GPT-5（35.1%），同时在效率上提升了2.5倍。 在tau2-Bench和FRAMES测试中，Orchestrator同样以大幅优势领先 GPT-5，而其成本仅为后者的30%左右。 在多项指标上，Orchestrator均实现了性能与成本的最佳平衡，并能出色地泛化至未曾见过的工具中。 预印本链接：https://arxiv.org/abs/2511.21689 为什么「强模型+工具」还是不够好？ 面对Humanity's Last Exam（HLE）这类超难综合推理考试，现在的大模型虽然「什么都懂一点」，但一到 ...

Core Viewpoint - The emergence of DeepSeek has significantly impacted MiniMax and other large model companies, prompting introspection on their performance and strategic choices [5][6]. Group 1: Challenges and Reflections - MiniMax's founder, Yan Junjie, faced numerous challenges during the startup phase, including the bankruptcy of Silicon Valley Bank, which affected payroll [3]. - The team recognized that their performance was hindered by a lack of deep thinking and lowered expectations, contrasting with DeepSeek's unique insights and technical accumulation [6][8]. Group 2: Team Morale and Incentives - To boost team morale during tough times, Yan emphasized the importance of encouragement and financial incentives, stating that monetary rewards are effective [7]. - In September, MiniMax initiated a million-dollar stock option incentive program, offering varying amounts based on employee contributions, covering various roles within the company [7]. Group 3: Strategic Direction - MiniMax's approach involves a unique strategy of ToC (Technology of Communication) and international expansion, with their Talkie application gaining significant user traction overseas [8]. - The company experienced a period of indecision regarding whether to prioritize technology or product development, ultimately deciding on a technology-driven approach despite the associated risks [8][9]. Group 4: Market Position and Talent - The gap between domestic large model companies and top international models is narrowing, with Chinese companies achieving this with significantly lower investment [12]. - Yan highlighted the importance of local AI talent, noting that many key contributors to success in companies like DeepSeek and MiniMax are homegrown, often in their first jobs [12]. Group 5: Future Outlook - Yan remains optimistic about the future of AGI, noting that the number of companies in the large model space is decreasing, leading to a more concentrated market [13]. - The AI industry is not merely an extension of the internet; the core product in the large model era is the model itself, with blurred boundaries between roles in product management, development, and algorithms [14].

生成式AI 一、Meta 加班裁员两手抓，救命稻草「牛油果」还闭源了 1. Meta押注神秘项目Avocado（牛油果），原计划2025年底发布推迟至2026年Q1，蒸馏学习使用了Google Gemma、OpenAI gpt-oss和Qwen模型，可能采用闭源方式； 2. Llama 4发布后未能吸引足够开发者且基准测试"作弊"，扎克伯格重新思考开源战略，成立MSL超级智能实验室并 以143亿美元引入28岁AI官Alexandr Wang； 3. MSL裁员600人不涉及核心TBD Lab团队，同期宣布270亿美元建设Hyperion数据中心。 https://mp.weixin.qq.com/s/H8yACleexzyJf9z-AWKRJA 二、ChatGPT内上线 Photoshop、Express与Acrobat集成 1. Adobe宣布推出适用于ChatGPT的Photoshop、Express和Acrobat，用户可直接在聊天机器人中通过文字描述使 用PS美化照片、Express设计信函、Acrobat编辑PDF； 2. 这些工具在ChatGPT中可免费使用无需离开聊天界面，但不包含Generat ...

独立开发者阿杰的第一款独立游戏在Steam上线三个月，扣除平台抽成后，他的收入仅仅只有312美元。 而在另一边，从大厂离职的陈云飞借AI之力，从构思到上线仅用一小时做出的"小猫补光灯"，冲上iOS榜单Top20，一年赚了近百万。 当AGI浪潮席卷，开发门槛被夷为平地。阿杰与陈云飞的故事，就像一枚硬币的两面，反应着AGI浪潮下真实的剖面：一边是多数独立开发者面临的生存 环境，另一边则是少数独立开发者乘上技术东风赢得机遇。 据《AI时代开发者生态白皮书》，中国开发者中有13.7% 的人以独立开发者身份活跃，一群选择独立创作路径的数字游民，渴望用代码创造价值，同时 也面临着一场关于生存、创造与归属的持久战。 谁是独立开发者？ 在过去，成为一名全栈工程师需要掌握前后端、数据库、运维等多领域的复杂知识与技能，是高门槛、高投入的职业目标。 AGI的出现，正在重塑竞争格局，为独立开发者创造了更多机会。以GPT-5、Claude Opus等为代表的先进大模型及其日趋成熟的开发工具链，以前所未有 的方式降低了"全栈开发"的技术门槛。 独立开发者通常指独立从事软件、应用、游戏或其他数字产品开发的个人或极小团队，他们不隶属于大型公 ...