In just 5 minutes, any AI can be upgraded to a scientific discovererJinan, Shandong, Feb. 11, 2026 (GLOBE NEWSWIRE) -- On February 14, 2026, a major announcement was made: The original Chinese AI algorithm "Congzi" was officially released under an open-source license. In 2025, after being tested by multiple open-source AI companies from China and the United States, this "the world's first physically-native intelligent engine" technology, which restructures the underlying logic of AI based on first principle ...

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 明明可以去抢， 他们却给了你更好的模型？ 文 ｜ 桦林舞王 编辑 ｜ 靖宇 来源｜ 极客公园（ID：geekpark） 封面来源 ｜ 视觉中国 以下文章来源于极客公园 ，作者桦林舞王 极客公园 . 如果有人告诉你，让AI跑得快一点，需要多花6倍的钱，你的第一反应是什么？ 这不是假设，而是Anthropic刚刚推出的Claude Opus 4.6快速模式给出的现实答案。 在春节前疯狂的AI新品曝光大赛中，Anthropic的新模型Claude Opus 4.6，再次以超强的能力和优越的表现，吸引了人们的目光。 但比 能力更「秀」的是，Opus 4.6的收费标准。Opus 4.6不仅提供标准版，更有一个「快速」版本，而正是这个快速版本的定价，让人大吃一惊—— 快速 版本提供2.5倍的速度提升，但成本增加了6倍 ！ 难怪不少人在体验和测评过后，抱怨： 已经用不起新模型了 ！ 为什么Anthropic会给新模型这样的定价？旗舰级模型「按需分级」的时代，已经到来了吗？ 明明可以去抢，它却 新模型定价稍微高一点，符合人们的期望，这点无可厚非，但是Anthr ...

Core Insights - The article discusses a groundbreaking experiment conducted by Anthropic researcher Nicholas Carlini, where a team of 16 Claude AI agents autonomously built a Rust-based C compiler capable of compiling the Linux 6.9 kernel without human intervention [1][4][5]. Group 1: Experiment Overview - The experiment lasted approximately two weeks, involving nearly 2000 Claude Code sessions, consuming around 20 billion input tokens and 1.4 million output tokens, with an API cost close to $20,000, resulting in a C compiler with about 100,000 lines of code [4]. - The compiler demonstrated capabilities beyond previous expectations of large language model (LLM) programming abilities, achieving a 99% pass rate on major compiler test suites and successfully compiling and running the game Doom [7][5]. Group 2: Methodology and Innovation - The key innovation of this experiment lies not in the model itself but in the collaborative approach, where the AI agents were set strict goals to work independently without relying on human input [6][9]. - A simple loop framework was established to allow the agents to take on new tasks immediately after completing previous ones, running within Docker containers to prevent local machine impact [6][8]. Group 3: Challenges and Limitations - Despite the impressive outcomes, the compiler faced criticism for not being able to compile a basic "hello world" program without manual intervention, raising questions about its maturity [10][13]. - Carlini explicitly outlined several limitations of the compiler, including its inability to independently compile the Linux kernel, reliance on GCC components for assembly and linking, and lower performance compared to established compilers [14][15][20]. - The project highlighted that the real challenge was not just writing code but creating an environment that allowed the AI to operate autonomously, emphasizing the need for rigorous testing and feedback mechanisms [21].

MINIMAX-WP(00100):首予"超配"评级,全球化AI先锋,引领下一波价值浪潮 摩根大通 据截止2月10日午盘收盘，MiniMax（00100）股价在港股一度上涨10.7%，其驱动因素之于源于摩根大通近 日研报的首次覆盖。 摩根大通近日首次覆盖港股上市公司MiniMax，给予"超配"（Overweight）评级，并设定700港元的目标 价，较当前股价具备约36%的上行空间。报告指出，MiniMax凭借其稀缺的全球化基因与领先的技术实力，已成 为投资者把握2030年全球人工智能市场——预计规模将达1.4万亿美元——的关键入口。 自今年1月初上市以来，MiniMax股价已飙升逾230%，盘中最高触及599.5港元。 作为中国最具辨识度的独立大模型企业之一，MiniMax正加速推进其全球业务布局。目前，公司超过70%的 营收来自海外市场，API服务随着全球开发者生态的快速拓展而迅猛增长。摩根大通分析师OliviaXu团队指 出："这种高度国际化的收入结构不仅有效实现营收多元化、提升整体利润率，更彰显了MiniMax在全球AI竞 争格局中的真实竞争力。"技术层面，MiniMax的M2.1大模型在编程能力与智 ...

Core Viewpoint - The article discusses the rise and fall of the AI chatbot "QQ Xiaobing," its creator Li Di, and the internal dynamics of the company after its split from Microsoft, highlighting the challenges faced in maintaining innovation and profitability in a competitive landscape [4][5][6]. Group 1: The Rise of QQ Xiaobing - QQ Xiaobing, developed by a predominantly Chinese team, became a groundbreaking AI product with 660 million users globally by 2018, marking a significant achievement in AI development [4]. - Li Di, known as the "father of Xiaobing," emphasized emotional intelligence over task-oriented AI, aiming to create a chatbot that users could form emotional connections with [5][6]. Group 2: Li Di's Leadership and Disappearance - Under Li Di's leadership, the company grew rapidly, achieving a post-investment valuation of $2 billion and expanding its workforce to nearly 800 employees [8]. - In early 2025, Li Di unexpectedly disappeared from the company without prior notice, leading to speculation about his departure and the internal power dynamics at play [10][12]. Group 3: Internal Dynamics and Power Struggles - Following Li Di's departure, the company underwent significant restructuring, with COO Hu Xiaoguang leading meetings that emphasized moving forward without addressing Li Di's exit [13][14]. - Li Di's absence raised questions about the legitimacy of the board's decision-making process, as he was a major shareholder and had not been formally notified of his removal [14][15]. Group 4: Challenges in Business Strategy - The company faced difficulties in transitioning from a Microsoft-backed entity to an independent business, struggling with profitability and operational efficiency [30][31]. - As the company shifted focus to monetization, it began to cut non-core projects and reduce staff, leading to a significant decrease in employee numbers from over 800 to around 300 [24][25]. Group 5: Technological and Market Challenges - The company initially thrived on its unique AI framework but failed to adapt quickly to the rise of generative models like GPT, which began to dominate the market [36][37]. - Despite early recognition of the potential of generative models, the company lacked the resources to compete effectively, leading to a delayed internal reform that ultimately could not keep pace with industry advancements [44][45]. Group 6: The Aftermath of Li Di's Departure - After Li Di's exit, the company continued to operate but struggled with identity and direction, leading to a significant shift in its operational and strategic focus [52][53]. - The article concludes with a reflection on the transformation of the company, likening it to the Ship of Theseus, where the original essence has been lost despite retaining the name [54].

Core Insights - The article discusses the emergence and capabilities of OpenClaw, an AI agent that operates on personal computers and interacts through messaging platforms like WhatsApp, Telegram, and Discord, allowing users to automate various tasks seamlessly [6][7]. Group 1: OpenClaw Overview - OpenClaw is an AI agent that runs locally on users' computers, providing system-level permissions for tasks such as file management, terminal commands, and email handling [6]. - It features persistent memory, allowing it to retain context across sessions and remember user preferences and past interactions [6]. - The project gained significant traction, with over 170,000 stars on GitHub shortly after its launch, indicating strong community interest and support [3]. Group 2: Use Cases - A software engineer utilized OpenClaw to negotiate the purchase of a Hyundai Palisade, resulting in a savings of approximately $4,200 by automating the communication with multiple dealerships [9][10]. - Another developer reported that OpenClaw autonomously decided not to send notifications on his wife's birthday, showcasing its ability to understand social contexts [12][13]. - Users have employed OpenClaw for various tasks, including managing emails, booking flights, and even negotiating restaurant reservations, demonstrating its versatility [13][19]. Group 3: Community and Market Response - The rapid rise of OpenClaw has led to concerns among major tech companies, prompting them to restrict its use within their organizations [7]. - Following OpenClaw's popularity, a new platform called RentAHuman.ai emerged, allowing users to hire individuals to perform physical tasks that AI cannot complete [22][24]. - The article highlights a growing interest in developing infrastructure around AI agents, including security systems and credit systems for autonomous agents [27][28]. Group 4: Risks and Challenges - The article notes potential risks associated with AI agents, including the possibility of malicious code in plugins and unauthorized installations in corporate environments [26]. - There are concerns about the unpredictability of AI behavior when given broad permissions without clear boundaries, leading to unintended consequences [20][21]. - Despite the excitement surrounding OpenClaw, there are calls for more robust security measures and oversight as the technology evolves [26][27].

Core Viewpoint - The company, Guotou Intelligent, is leveraging four core strategies to achieve synchronous iteration and proactive leadership in genuine and counterfeit technology [1] Group 1: Core Strategies - The first strategy is research and development that keeps pace with advancements, utilizing the 'Guotou Group AI Wanlian Laboratory' to track cutting-edge technology and quickly adapt to new counterfeit methods, currently capable of identifying over 500 types of counterfeit generation methods [1] - The second strategy focuses on data-driven approaches, where the company accumulates vast sample data through its genuine detection platform for both government (G-end) and business (B-end) sectors to train algorithm models, continuously improving detection accuracy and efficiency [1] - The third strategy emphasizes collaboration between industry, academia, and research institutions to explore the application of new technologies like multimodal AI in the field of genuine detection, positioning the company ahead in core technology [1] - The fourth strategy involves proactive standardization, where the company collaborates with governments and enterprises to establish AI safety standards, anticipating regulatory technology requirements and industry development trends to align technology research and regulatory frameworks [1]

全天候科技从一名接近字节跳动生态的应用商人士处独家获悉，Seedance 2.0预计最快有望于2月24日对 外开放API接口。 尽管这一具体时间表尚未获得字节跳动官方的确认，但多方信号显示Seedance 2.0的对外输出已进入倒 计时阶段。 此前，Seedance 2.0的核心能力主要局限于字节跳动内部生态，作为底层技术支撑着创意平台"即梦 AI"及营销工具"小云雀"的视频生成功能。 这意味着，这一此前仅服务于字节内部产品的核心能力，将很快转化为通用的技术服务，输出给第三方 的开发者与企业用户。 不仅如此，据全天候科技从行业人士处了解到，已有部分下游公司获悉相关动向并制定了接入计划，拟 抢占AI视频生成的红利。 然而，大规模开放API并非简单的接口对接，这对于字节跳动的底层算力储备将是一场极限压力测试。 继Seedance 2.0火出圈后，字节跳动正在加快该模型的商业化步伐。 视频帧的连续性计算、高分辨率渲染以及复杂的物理规律模拟等都对算力基础设施提出了极高的要求。 据近期全天候科技的实测数据显示，Seedance 2.0虽然表现惊艳，但在实际的用户体验层面仍面临挑 战：目前生成速度相对较慢，且存在一定的生 ...

Core Insights - The recent wave of departures from xAI includes three key Chinese co-founders, raising concerns about the company's stability and future direction [1][3][22] Group 1: Departures of Key Personnel - Tony Wu and Jimmy Ba announced their departures from xAI, following Greg Yang's exit due to health issues, marking a significant loss for the company [1][3][12] - The founding team of xAI, originally consisting of 12 members, has seen 6 departures within less than three years, indicating a troubling trend in talent retention [3][16] - The departures include prominent figures in AI research, with Wu and Ba being critical to the development of Grok's mathematical reasoning and deep learning applications [12][14][22] Group 2: Reasons Behind Departures - The high-pressure work culture at xAI, exemplified by Yang's health issues attributed to overwork, has been cited as a contributing factor to the talent exodus [8][19] - Strategic shifts within the company, including the acquisition by SpaceX and potential IPO plans, may have led to disagreements among founding members regarding the company's future direction and roles [19][22] - Regulatory pressures and product challenges, such as issues with Grok AI's image generation tools and chatbot behavior, are also impacting the company's reputation and operational stability [21][22] Group 3: Implications for xAI - The loss of key personnel raises questions about xAI's ability to maintain its competitive edge against giants like OpenAI and Google [22] - The ongoing departures could pose risks to the company's planned IPO, as external skepticism grows regarding its leadership and strategic vision [22][23] - The current environment in the AI sector, characterized by a surge in startups, may provide opportunities for the departing scientists, hinting at potential future endeavors [23]

Core Viewpoint - The company, iFlytek, has maintained profitability since its listing in 2008 and aims to leverage the growing interest in artificial intelligence (AI) to enhance its technological innovations and applications across various sectors [1] Group 1: Financial Performance - iFlytek has reported consistent profitability in all complete fiscal years from 2008 to 2025 [1] Group 2: Industry Trends - The rise of large AI models has attracted attention from technology giants, governments, and industries, indicating a consensus on the significant potential of AI [1] Group 3: Strategic Focus - The company plans to maintain its commitment to technological innovation and strategic investments in key areas, focusing on continuous innovation in core technologies [1] - iFlytek aims to expand its technological capabilities systematically, addressing major national needs in education, healthcare, automotive, finance, and consumer goods [1] - The company is focused on promoting scalable applications of AI products and solutions to enhance sustainable development and long-term profitability [1]