Group 1: DeepSeek Model Updates - The new DeepSeek R1 model has optimized its performance to reduce "hallucination" rates by 45%-50% in tasks such as rewriting, summarization, and reading comprehension [1][3] - The updated R1 model has achieved top scores in various benchmark tests, indicating significant improvements in deep thinking capabilities and creative writing [3] Group 2: Nvidia Financial Performance - Nvidia reported Q1 2026 revenue of $44.1 billion, a 69% year-over-year increase, with net profit reaching $18.8 billion, up 26% [2] - The data center business generated $39.1 billion in revenue, reflecting a 73% year-over-year growth [2] - Nvidia anticipates an $8 billion revenue loss in Q2 due to U.S. export restrictions on H20 chips to China [2] Group 3: AI in Academia - Intology's AI scientist Zochi had a paper accepted at the prestigious ACL conference, marking the first time an AI-generated paper passed peer review at this level [4] - Zochi's paper scored 4 points, placing it in the top 8.2% of all submissions, highlighting the rapid advancement of AI in academic research [4] Group 4: Kuaishou's AI Revenue Growth - Kuaishou reported Q1 2025 revenue of 32.6 billion yuan, a 10.9% year-over-year increase, with adjusted net profit of 4.58 billion yuan [5] - Kuaishou's Keling AI generated over 150 million yuan in revenue during the quarter, with a user base exceeding 22 million [5] Group 5: Quark Health Model Achievement - Quark's health model successfully passed the national deputy chief physician qualification exam, becoming the first AI model to achieve this milestone in a serious medical context [8] - The model utilizes extensive high-quality data and multi-stage training strategies to enhance its clinical reasoning capabilities [8] Group 6: Storage Product Price Increases - Recent data indicates significant price increases for various DDR4 products, with some experiencing up to a 50% rise within a month [11][12] - The price hikes are attributed to manufacturers halting production and market speculation, as they shift focus to more advanced memory technologies [12] Group 7: Investment in Intelligent Robotics - Shanghai State-owned Capital Investment Company led a new round of investment in Zhiyuan Robotics, marking a significant milestone in the embodied intelligence sector [12][13] - Zhiyuan Robotics has achieved rapid production of humanoid robots, with a factory capable of producing over a thousand units [13]

除论文格式调整与绘图外，内容全程无人工参与。 大模型的发展落地日新月异，就在年初，业界还在担心AI生产的学术垃圾充斥论文库，年中，AI生成的论文已经可以被顶会认可了。 5月29日，海外初创公司Intology 宣布，他们的"AI科学家"Zochi的论文被顶会ACL主会议录用，成为首个独立通过 A* 级别科学会议同行评审的AI，同时宣 布开放Zochi的Beta 测试。 这一发布的含金量在于，ACL是自然语言处理领域全球排名第一的顶会，其主会议平均录用率通常低于20%，论文需具备突破性创新。据悉，Zochi的论文 获得评审最终评分4分，在所有投稿论文中排名前8.2%。 Intology是一家较为陌生的初创公司，从目前官网和博客的信息梳理来看，这家公司是在2025年初新成立的，定位是一个研究智能科学的实验室，两名联创 分别是连续创业者Ron Arel和前Meta华人研究员Andy Zhou，两人均毕业于伊利诺伊大学厄巴纳-香槟分校（UIUC）。 Intology成立后，此前3月团队就推出了智能体Zochi，称其为AI科学家，并宣布其研究成果已被ICLR 2025研讨会接收。不过，此前的这一研讨会的论文接收 率在6 ...

Core Viewpoint - The article highlights the achievement of Intology's AI scientist Zochi, which has become the first AI system to independently pass peer review at a top-tier scientific conference, specifically the ACL main conference, indicating a significant milestone in AI research capabilities [1][3][5]. Group 1: AI Research Achievements - Zochi's paper titled "Tempest: Automatic Multi-Turn Jailbreaking of Large Language Models with Tree Search" has been accepted at ACL 2025, showcasing its ability to conduct independent scientific research [8][11]. - The acceptance rate for main conference papers at top-tier conferences like ACL is around 20%, making Zochi's achievement particularly noteworthy [3]. - Zochi's research demonstrated a 100% success rate on GPT-3.5-turbo and a 97% success rate on GPT-4 in its multi-turn attack methodology, indicating the effectiveness of its approach [11]. Group 2: Methodology and Innovation - The research utilized a tree search method to autonomously explore multiple adversarial prompt branches, integrating cross-branch learning and partial compliance tracking [9]. - Zochi's approach to scientific discovery involved minimal human intervention, primarily in formatting and creating figures, while it independently defined research directions and conducted experiments [8][9]. - The system's innovative method, CS-ReFT, achieved a 93.94% success rate in model adaptation using only 0.0098% of parameters, surpassing GPT-3.5-Turbo [21]. Group 3: Industry Impact and Criticism - The acceptance of Zochi's work has sparked discussions in the AI academic community regarding the implications of AI-generated research and the integrity of the peer review process [16][17]. - Intology faced criticism for its practices, as other teams like Sakana had previously informed conference organizers about their AI-generated submissions, raising concerns about transparency [16][17]. - Zochi's continuous output of high-quality research papers, with scores significantly above the average for AI-generated submissions, emphasizes its advanced capabilities in tackling complex scientific challenges [23].