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AI教父联名OpenAI、DeepMind、Anthropic:警惕CoT
3 6 Ke· 2025-07-16 12:34
就在今天,小扎的 Meta 公司「挖角」了一个大的,将思维链(CoT)论文的第一作者 Jason Wei 招至他们的超级智能团队。作为参与 OpenAI o1 和 deep research 模型的知名研究员,Jason Wei 的离开,或让 OpenAI 损失巨大。 文件链接:https://tomekkorbak.com/cot-monitorability-is-a-fragile-opportunity/cot_monitoring.pdf 众所周知,推理模型是驱动 AI agent 的核心技术,作者认为,随着 AI agent 的普及和能力提升,CoT monitoring 可能成为控制其行为的核心方法。 "然而,目前这种可见性程度能否持续尚无保证。我们鼓励研究界和前沿 AI 开发者充分利用 CoT 可监测性,并研究如何保持其透明度。" 在立场文件中,作者要求领先的 AI 模型开发者研究使 CoT 可监测的因素——换言之,哪些因素会增加或减少对 AI 模型实际得出答案过程的透明度。 同时,今天另一件与 CoT 相关的新闻是,OpenAI、Google DeepMind、Anthropic 公司"罕见 ...
OneMeta Inc. Announces Collaboration with the United States Forces Japan to Revolutionize Communication Through Its AI Products
Newsfile· 2025-07-16 12:30
This initiative represents a significant step forward in the integration of artificial intelligence into public sector operations. By utilizing OneMeta's AI-based products, organizations like USFJ can enhance communication processes, foster collaboration, and support mission-critical activities, while ensuring the highest standards of security and confidentiality. OneMeta's SOC 2 certification underlines its steadfast commitment to protecting the privacy and integrity of data for all clients. "Creating tool ...
“AI女友”30美元一个月 马斯克又整活了?|科技观察
Sou Hu Cai Jing· 2025-07-16 12:14
封面新闻记者 边雪 ChatGPT想取代谷歌、Claude取代程序员、Grok想取代你的妻子。当地时间7月14日,世界首富埃隆·马斯克(Elon Musk)的xAI公司宣布,其人工智能聊 天机器人Grok推出了一项全新功能——"伴侣模式"(Companions),引发了全球科技圈和社交媒体的热议。 用户每月可用30美元订阅(SuperGrok计划)与虚拟AI角色互动,可选择一位哥特风格的动漫女孩"Ani"和一只卡通风格的红熊猫"坏鲁迪"(Bad Rudy)。 这一消息不仅迅速在X平台上掀起热潮,还引发了关于人工智能、情感连接以及未来人机关系伦理的广泛讨论:AI的未来是成为人类的工具,还是伙伴 或"替代品"? Grok变身为"AI女友"? 将功能性AI转变为更具情感吸引力的交互工具,Grok推出了"伴侣模式",被外界视为一次"高明"的公关操作,成功将公众注意力转向更具话题性的"虚拟 女友"概念。据X平台统计,"伴侣模式"发布后的48小时内,相关帖子浏览量接近3000万。 "伴侣模式"的推出在X平台上引发了两极分化的反应。一方面,马斯克的粉丝和科技爱好者对此表示热烈欢迎。一位X用户评论道:"Ani太棒了!Grok ...
2025年中国大模型一体机行业研究:DeepSeek大模型一体机,如何破局行业发展
Tou Bao Yan Jiu Yuan· 2025-07-16 12:01
Investment Rating - The report does not explicitly state an investment rating for the China Large Model All-in-One Machine industry Core Insights - The rapid development of artificial intelligence technologies has led to the emergence of large model all-in-one machines, which provide end-to-end support for the development, training, deployment, and operation of large models [2] - The market for large model all-in-one machines in China is characterized by increasing competition among major technology companies, each launching their own products [2] Summary by Sections Market Analysis - The market for large model all-in-one machines is diversifying, with products priced between 500,000 to 5 million yuan, catering to various user needs [7][20] - The pricing of large model all-in-one machines is influenced by four main factors: hardware performance, system integration capabilities, industry customization services, and compliance with security delivery [30] Definition and Composition - Large model all-in-one machines are integrated AI infrastructure designed to support the entire lifecycle of large model development, training, deployment, and operation, typically comprising software, hardware, and operational support [14] Deployment Characteristics - The deployment of large model all-in-one machines emphasizes extreme performance, local data closure, and high controllability, making them suitable for scenarios with high real-time and data security requirements [19] Major Manufacturers and Product Pricing - Major manufacturers in the market include Huawei, Inspur, and Unisplendour, with products offering diverse configurations and functionalities [20][21] - The price range for these products varies significantly, with high-end models supporting ultra-large model training and inference, while mid-range and basic models cater to mainstream applications and lightweight model inference [22][27][28] User Profile - The target users for large model all-in-one machines are typically small to medium-sized enterprises lacking professional AI infrastructure and teams, requiring local deployment and quick setup [36][37]
硅谷 「AI 挖人」白热化,99% 的钱流向 1% 的人
美股研究社· 2025-07-16 11:49
用极客视角,追踪你最不可错过的科技圈。欢迎同步关注极客公园视频号 以下文章来源于极客公园 ,作者芯芯 极客公园 . 来源 | 极客公园 OpenAI 的 Vibe Coding 梦破灭了。 当地时间 7 月 11 日,谷歌 DeepMind 被爆成功「收编」AI 初创公司 Windsurf 的核心团队,就 在前不久,OpenAI 还在和 Windsurf 谈判 30 亿美元收购,没想到双方的合作并未达成,反而让 谷歌补充了 AI 血液。 根据报道,谷歌将付出 24 亿美元(约人民币 170 亿元)的许可费和补偿金,换来 Windsurf 团 队联创 Douglas Chen 和部分高级研究院加入谷歌,帮助后者在 AI 编程上的项目。同时, Windsurf 将保持独立运营,并仍可将技术授权给其他公司 。 熟悉的配方,熟悉的味道。 就在一个月之前,Meta 做了类似的事—— Meta 斥巨资收购了 Scale AI 近一半股份,并顺势把 其年轻的 CEO 拉来做自己的首席 AI 官 。 无论是 Meta、谷歌、苹果,还是马斯克的 xAI,如今都在抢人,要么整体收编明星初创团队, 要么直接从 OpenAI、Ant ...
被硅谷裁员后,他用3周造出一个“很烂”的MVP:无融资、无团队,现已到手6000+美元
3 6 Ke· 2025-07-16 10:43
去年 9 月,Jacky Liang 和许多硅谷打工人一样,经历了人生的一次"系统重启"。 被裁之前,他加入美国知名 AI 公司 Pinecone 刚满 4 个月,还没来得及站稳脚跟就被"优化"出局——但他没想到,这次被迫下车的经历,反而成为了他创 业的起点。 如今,Jacky 靠着一个自己在失业期间搞出来的"小工具":没有炫目的 UI、没有"颠覆式"的创新,甚至早期版本"丑得可以"——却在无融资、无团队、无 设计师的情况下,做到了每月 1000+ 美元的经常性收入(MRR),总营收突破 6000+ 美元,并且客户还在持续增长。 那么,他到底是怎么做到的? 这个问题,慢慢在 Jacky 脑海中变成了一个可以动手验证的产品思路。 MVP:三周造出原型,第一个客户试用一周就付了年费 带着"只要能自动回答客户问题"的简单目标,Jacky一边找工作,一边抽出空闲时间,仅用 3 周就做出了一个极简MVP。根据介绍,这款产品叫做 Answer HQ,本质上就是一个"AI 客服工具": 起点:从"重复提问"中发现机会 刚被裁的时候,Jacky 一时间有些迷茫。他开始频繁和做小生意的朋友们聊天,没想到却从中捕捉到了一个反复出 ...
手搓第一个AI程序后,这位95后决定“反共识”创业
虎嗅APP· 2025-07-16 10:41
Core Viewpoint - The article discusses the emergence of AI-driven startups, particularly focusing on the journey of Yuhua Technology, which aims to redefine business processes in the manufacturing sector through AI solutions. The founder emphasizes the shift from traditional SaaS models to a results-based payment system, highlighting the unique opportunities presented by AI technology in addressing core business pain points [6][8][44]. Group 1: Company Overview - Yuhua Technology, founded by Zhai Xingji and his partner Chi Guangyao, represents a new generation of AI startups with a young founding team primarily composed of post-95s and post-00s [8][7]. - The company secured seed funding from Qiji Chuangtan, a notable incubator in China, which has a rigorous selection process with a success rate of about 1% [6][8]. - Yuhua Technology's first client saw a sales conversion rate increase from 5% to 7% after implementing their AI solutions, leading to a 20% revenue boost [10][29]. Group 2: Business Model and Strategy - The company focuses on the manufacturing sector, which is seen as a field where product value is prioritized over resource competition. This choice is considered a "反共识" (anti-consensus) move, as many believe sales in manufacturing are challenging [8][30]. - Yuhua Technology's approach involves discussing three key aspects with clients: core business processes, pain points, and willingness to pay for solutions, marking a shift from tool-based to results-based payment models [8][44]. - The company aims to automate the pre-sales process, addressing two main pain points: the technical knowledge gap among sales personnel and the burden of repetitive tasks [46]. Group 3: Market Trends and Future Outlook - By 2025, AI is expected to penetrate more specialized fields, making it difficult for new entrants to compete with established companies that have already secured funding and market presence [11]. - The article highlights the importance of rapid iteration and user acquisition in the current AI application market, where speed is crucial for capturing user mindshare [11][12]. - Yuhua Technology plans to expand into international markets, particularly in Japan and Southeast Asia, where there is a strong demand for AI solutions in manufacturing and retail [60][64].
黄仁勋链博会演讲:中国开源 AI 成全球进步催化剂
Sou Hu Cai Jing· 2025-07-16 10:39
在谈及 AI 安全与协作时,黄仁勋认为,开源是保障 AI 安全的关键所在,它为全球合作制定相关标 准、基准及保障措施搭建了重要平台。他强调:"AI 正像电力和互联网一样,成为基础设施,它正在革 新供应链,改变我们设计、制造和运输一切的方式。" 【环球网科技综合报道】7月12日消息,今日举行的第三届中国国际供应链促进博览会(以下简称 "链 博会")上,英伟达创始人兼CEO黄仁勋在会上用中文发表演讲,聚焦中国开源 AI 发展及其对全球的影 响,阐述了 AI 作为基础设施在各领域的变革作用。 黄仁勋指出,当前已有 150 多万中国开发者依托 NVIDIA 平台展开创新实践,DeepSeek、阿里、腾 讯、MiniMax、百度等企业的领先模型在此诞生并实现开源,为全球 AI 发展注入强劲动力。他明确表 示,中国的开源 AI 已成为推动世界进步的重要催化剂,让各个国家、各个行业都能共享 AI 革命带来 的机遇。 他还提到,人工智能正深刻改变科学研究、医疗健康、能源、交通运输和物流等众多领域。在中国, AI 赋能了腾讯微信、阿里巴巴淘宝、字节跳动抖音等头部平台,驱动着小米的自动驾驶汽车和智能手 机发展,助力百度智能搜索以 ...
美国大推AI技术和能源开发 宾州获超900亿美元投资承诺
news flash· 2025-07-16 10:23
美国大推AI技术和能源开发 宾州获超900亿美元投资承诺 智通财经7月16日电,美国总统唐纳德·特朗普15日率政府高官出席宾夕法尼亚州匹兹堡一场技术行业会 议,宣传一项由美国大企业投资的能源与基础设施建设项目,主要用于满足人工智能等技术产业发展需 求,总投资额超过900亿美元。 (新华社) ...
梁文锋等来及时雨
36氪· 2025-07-16 10:19
Core Viewpoint - The article discusses the competitive landscape of AI large models, focusing on DeepSeek's challenges and the emergence of new players like Kimi, which are rapidly gaining market attention and user engagement [3][4][10]. Group 1: DeepSeek's Performance and Challenges - DeepSeek experienced a significant decline in monthly active users, dropping from a peak of 1.69 billion in May, reflecting a 5.1% decrease [4]. - The user engagement for DeepSeek has fallen from a peak of 7.5% in January to 3% by the end of May, with a 29% decrease in website traffic [4][5]. - The company has faced delays in launching its R2 model due to unexpected export restrictions on the H20 chip, which has limited its computational resources [5][8]. Group 2: Competitive Landscape - Other AI players, referred to as the "AI Six Dragons," are set to release new foundational models, intensifying competition against DeepSeek [3][4]. - Kimi's K2 model has achieved state-of-the-art performance in various benchmarks, surpassing DeepSeek in tasks related to coding and mathematical reasoning [14]. - The pricing strategy of Kimi K2 aligns closely with DeepSeek's API pricing, making it a direct competitor in terms of cost [15]. Group 3: Market Dynamics and User Preferences - DeepSeek's reputation for cost-effectiveness is being challenged as competitors like Alibaba, ByteDance, and Baidu offer lower-priced alternatives [13]. - The lack of significant upgrades in DeepSeek's models has led to a perception shift, with users increasingly viewing it as less competitive compared to newer models [12][13]. - The context window limitation of DeepSeek's models (64K) is significantly smaller than that of competitors like Kimi K2 (128K) and MiniMax-M1 (1 million), impacting its performance [22][23]. Group 4: Future Considerations - To regain market interest, DeepSeek must expedite the release of new models and enhance its capabilities, particularly in multi-modal functionalities, which are becoming increasingly important in the AI landscape [28][30]. - The article suggests that DeepSeek's focus on open-source development should also align with commercial viability to maintain user engagement and developer activity [24][25].