Core Viewpoint - OpenAI is re-entering the open-source arena by launching two significant models, gpt-oss-120b and gpt-oss-20b, amidst a growing competition between open-source and closed-source AI solutions [1][2]. Group 1: OpenAI's Historical Context - Since its establishment in 2015, OpenAI has been at the forefront of AI technology, with the launch of ChatGPT in 2022 marking a significant milestone in user growth [1]. - Initially, OpenAI embraced open-source principles with the releases of GPT-1 and GPT-2, but shifted to a closed-source model with GPT-3 in 2020, which drew criticism for contradicting its mission to benefit humanity [1][2]. Group 2: New Open-Source Models - The newly launched models, gpt-oss-120b and gpt-oss-20b, are designed for high inference in cloud environments and low latency on edge devices, providing developers with more options [2]. - The release of these models has generated significant interest in the AI open-source community, leading to a surge in downloads on the Hugging Face platform, prompting requests to manage server load [2]. Group 3: Industry Reactions and Implications - Opinions on OpenAI's approach are mixed; some view it as a protective measure for core assets, while others argue it limits developers' ability to conduct in-depth research and hinders the open-source ecosystem [4]. - OpenAI's collaboration with cloud providers like Amazon AWS is seen as a strategy to enhance the distribution and application of its open-source models [4]. - The performance gap between open-source and closed-source models is narrowing, increasing competition from global open-source players, particularly in the Chinese market with Alibaba's Qwen series achieving over 300 models and 400 million downloads by July 2023 [4]. Group 4: Future Outlook - OpenAI's re-entry into open-source presents both challenges and opportunities, suggesting that AI giants may adopt more flexible strategies in response to the rapidly changing market [7].

Lawmakers Call for Inquiry Into China's DeepSeek Over National Security, Data Risks► https://t.co/M37LVXXyVt https://t.co/M37LVXXyVt ...

脉脉平台数据显示，截至2025年7月，国内AI头部公司中41.07%的员工处于"正在看机会"的求职状态，这一比例远超互联网行业的14.65%。企业端的人才竞 争同样激烈，已有超过1000家AI公司在脉脉平台发布招聘信息，包括华为、小红书、DeepSeek等知名企业。这种供需两旺的态势反映出AI行业独特的人才 生态特征。高流动率体现了AI人才市场溢价能力的持续提升，企业也在调整用人标准，从单纯的技术能力评估转向更重视学习潜力和跨界思维能力。 企业培养体系升级，人才留存策略多元化 面对毕业生求稳心态的增强，前程无忧51job发布的《2025应届生调研报告》显示，国有企业和机关事业单位以合计73.3%的意向率成为求职首选。为应对这 一市场趋势，企业正通过生态化建设应对人才适配挑战。37.6%的企业主动提高应届生起薪水平，近八成企业开设专项技能培训，从薪资激励与能力提升两 个维度寻求突破。 阿里巴巴持续深化"阿里星"顶尖人才培养计划，通过全球课题招募机制为青年科研人才提供多模态AI、基础模型、大模型应用等实践场景和成长资源。截至 目前，阿里星项目已吸引超过200位顶尖青年技术人才，累计产出3000余项科研成果。美团为 ...

Core Insights - The tech giants are initiating a new round of campus recruitment, with a total of over 50,000 positions available, significantly increasing the demand for AI-related roles, which are becoming a strategic resource for companies [2][3][4] Group 1: Company Recruitment Plans - Tencent's 2026 campus recruitment focuses on software development and technical research positions, with a significant increase in AI-related roles [2] - Alibaba's recruitment plan has over 60% of positions in AI, with certain divisions like Alibaba Cloud and DingTalk reaching 80% [3] - Meituan plans to recruit 6,000 individuals globally, with over one-third of these positions in technology [4] - Xiaomi's recruitment includes 16 job categories, emphasizing software and hardware development, as well as algorithm roles [4] - ByteDance is offering over 5,000 positions, with a 23% year-on-year increase in research and development roles [4] - JD.com is opening 35,000 positions, with 20,000 aimed at fresh graduates [4] - Didi's recruitment includes various technical and operational roles, reflecting the broadening scope of AI talent needs [4] Group 2: Talent Market Dynamics - The demand for AI talent is structurally changing, with a notable increase in the willingness of AI professionals to switch jobs, indicating a high market premium for AI skills [6] - Companies are adjusting their hiring standards, focusing more on learning potential and interdisciplinary skills rather than just technical expertise [6] - The trend of hiring individuals from diverse educational backgrounds, including non-STEM fields, is becoming more common in the AI sector [6][9] Group 3: Employment Trends and Strategies - A significant portion of graduates still prefer stable positions in state-owned enterprises, reflecting a cautious approach to employment [7] - Companies are enhancing their recruitment strategies by increasing starting salaries and offering specialized training programs to attract talent [8] - Alibaba's "Ali Star" program aims to cultivate top AI talent, having attracted over 200 young researchers and produced over 3,000 research outcomes [8] - Meituan's structured training system for new hires has led to over 70% of them achieving promotions within their first year [8] Group 4: Educational and Industry Integration - The AI sector is reshaping career development paths, with universities increasingly offering courses to meet industry demands [9][10] - The urgency for educational institutions to align with industry needs is emphasized, as seen in initiatives like the collaboration between Zhiyuan Robotics and Tsinghua University [9][10] - Training programs that cover both theoretical and practical aspects of AI are being developed to enhance graduates' employability [10]

AI人才需求持续扩大，文科生也有很多机会。 这场由互联网巨头掀起的秋招浪潮，以超前的启动时机和强劲的招聘规模，释放出双重信号：就业市场 正在复苏，但人才需求已发生结构性转变。从大学教育中对AI基础人才的培养，再至科技企业率先招 揽AI人才，AI人才争夺已被提升至战略高度。 21世纪经济报道记者陶力实习生蒋雨彤随着秋季校园招聘预热启动，科技大厂开启了新一轮人才争夺 战。 8月5日，阿里巴巴正式启动秋季2026届校园招聘，计划发出7000多个职位。紧随其后，8月6日，腾讯也 开启了新一年度的校园招聘，开放技术类、产品类、设计类、市场类、职能类等五大类70余种岗位。在 此之前，美团和字节跳动已经相继发布了招聘计划。 值得注意的是，在新一轮招聘中，AI类岗位的占比均大幅提升。阿里巴巴AI相关岗位占比六成，美团 提供技术岗位占总人数的1/3，AI类岗位成为名副其实的"主力军"。 这不仅为应届毕业生提供了重要的就业机遇，更释放出一个明确信号：在产业升级与技术变革的浪潮 中，AI人才正逐步成为企业决胜未来的战略资源和关键变量。"AI+"人才走俏 腾讯2026校园招聘是面向2025年1月至2026年12月期间毕业的大学生，软 ...

8月6日举办的第十三届互联网安全大会（ISC.AI2025）上，全国工商联人工智能委员会常务秘书长范丛 明接受了包括证券时报记者在内的媒体采访。他表示，智能体等相关工种有望明年诞生。对于数据资产 入表话题，其认为，应该区别对待，数据属性是可复制性，最终还是要发挥数据价值。 范丛明介绍，全国工商联人工智能委员会从去年12月底开展走访代表城市重点企业调研，了解各企业关 于"产业+AI"的布局，目前围绕AI领域已经形成了多个提案和建议。委员会将立足地方产业优势，借助 AI技术的新质生产力实现降本增效，并推动产业智能化升级。 "今年2月，我们专程走访了杭州DeepSeek等企业，观察到智能产业蓬勃发展的趋势，也见证了通用人工 智能（AGI）产业的兴起，今年，人社部也发布了生成式人工智能系统测试员等相关工种，在人社部的 统一部署下，明年有望迎来相关新工种的诞生，继而逐步建立标准，开展职业鉴定、考试及认定工 作。" 人工智能的发展要素之一是数据。但现阶段好多企业数据比较分裂，而且涉及不同企业之间的数据流通 比较困难，范丛明进一步指出，为解决数据要素流通难题、充分释放其价值，需要建立科学的数据资产 管理和确权机制。 "近年 ...

港股研究社讯，据彭博社消息，强脑科技目前正就以超13亿美元的估值筹集资金展开洽谈，后续或选择 在香港或中国内地进行首次公开募股（IPO）。 有知情人士透露，这家由哈佛校友韩璧丞于2015年创立的公司，正在洽谈获取约1亿美元的IPO前融资 事宜。 该知情人士还称，这家初创企业已着手准备上市相关文件，不过上市地点及其他细节尚未确定。目前， 有关融资和IPO的讨论仍存在诸多变数，具体细节可能会随市场状况的改变而调整。截至目前，强脑科 技的代表尚未对相关置评请求作出回应。 强脑科技由哈佛大学校友韩璧丞于2015年正式创办。该公司与埃隆·马斯克（Elon Musk）旗下的脑机接 口企业Neuralink在业务领域存在竞争关系。强脑科技和DeepSeek等公司一同被并称为杭州"六小龙"，其 主要业务聚焦于开发仿生肢体技术以及人脑控制计算机的相关技术。 ...

Core Viewpoint - The article discusses the recent decline in the usage and market share of DeepSeek, questioning the validity of the reported statistics and emphasizing the importance of considering third-party API usage in evaluating its performance [2][4][10]. Summary by Sections Market Share and Usage Statistics - Reports from Semianalysis indicate that DeepSeek's market share has dropped to below 5%, with a significant decline noted since January [4][10]. - The statistics cited by Semianalysis primarily focus on the official API usage, potentially overlooking significant third-party integrations and deployments [10][12]. Third-Party API Usage - DeepSeek's third-party API calls have reportedly increased nearly 20 times since the release of versions V3 and R1, indicating sustained interest from developers [11][12]. - The article argues that the decline in official API usage does not reflect the overall demand for DeepSeek, as many applications integrate it without being captured in the official statistics [10][12]. Comparative Performance - Data from OpenRouter shows that DeepSeek V3 has a tokens consumption of 378 billion, ranking it third behind Claude Sonnet 4 and ahead of Google’s Gemini [17][22]. - Despite a decline in market share, DeepSeek maintains over 50% of the domestic B-end demand, indicating its strong position in the market [33]. User Preference and Community Engagement - A survey by Artificial Analysis found that 53% of respondents still prefer DeepSeek, placing it fourth among AI product providers [39]. - DeepSeek-R1 continues to lead in popularity on platforms like Hugging Face, indicating strong community support despite market fluctuations [44]. Industry Context and Future Outlook - The rapid evolution of AI technology suggests that a decline in DeepSeek's market share may not indicate a loss of relevance but rather reflects the dynamic nature of the industry [49]. - The article highlights the importance of open-source contributions from DeepSeek in promoting AI equity, contrasting it with other companies that are moving away from open-source models [49][50].

Core Viewpoint - OpenAI has released its first open-source language model series, gpt-oss, which includes gpt-oss-120b and gpt-oss-20b, both of which are fully customizable and support structured output [2][3]. Model Specifications - gpt-oss-120b requires 80GB of memory to run, while gpt-oss-20b only needs 16GB [2]. - The models utilize a mixture of experts (MoE) architecture, activating 5.1 billion parameters per token for gpt-oss-120b and 3.6 billion for gpt-oss-20b, with total parameters of 117 billion and 21 billion respectively [9]. - Both models support a context length of up to 128k and are designed for efficient deployment on consumer-grade hardware [10]. Training and Performance - The training process for gpt-oss models combines reinforcement learning and techniques from OpenAI's advanced internal models, focusing on reasoning capabilities and efficiency [8]. - gpt-oss models have shown strong performance in reasoning tasks, with gpt-oss-120b performing comparably to OpenAI's proprietary models in core inference benchmarks [10]. Comparison with Competitors - Claude Opus 4.1 has demonstrated superior programming performance with a score of 74.5% in SWE-bench Verified programming evaluations, outperforming previous versions [5]. - Independent benchmark tests indicate that gpt-oss-120b is less intelligent than DeepSeek R1 and Qwen3 235B, although it has advantages in efficiency due to its smaller parameter size [13]. User Feedback and Limitations - Users have reported mixed experiences with gpt-oss models, noting that gpt-oss-120b is particularly unstable for coding tasks, while gpt-oss-20b performs better [6][17]. - The models exhibit a higher hallucination rate, with gpt-oss-120b and gpt-oss-20b generating hallucinations at rates of 49% and 53% respectively, significantly higher than OpenAI's previous models [16]. Open Source and Accessibility - gpt-oss models are released under the flexible Apache 2.0 license, making them accessible for various applications, including agent workflows and tool usage [11][10]. - The models are available for free download on Hugging Face, promoting wider adoption and experimentation within the developer community [2][3].

8月6日凌晨，OpenAI发布两款"开源"和免费使用的AI模型，GPT-oss-120b和GPT-oss-20b。这是2019年 OpenAI开源GPT-2以来，首次推出新的开源大语言模型。 此次开源的两款模型都以宽松的Apache2.0许可证发布，企业在商用前无需付费或获得许可。在社交媒 体上，山姆.奥尔特曼表示："GPT-oss是一个重大突破，这是最先进的开放权重推理模型，具有与o4- mini相当的强大现实世界性能，可以在你自己的电脑(或手机的较小版本)上本地运行。" 早在今年1月DeepSeek引发开源潮并震惊全球后，OpenAI CEO山姆.奥尔特曼曾称OpenAI在开源技术方 面"站在了历史的错误一边"，并承诺3月发布新开源（300109）模型，然而这一计划推迟至今日。 ...