2026年1月7日，有关AMD图像增强技术FSR 4的最新动态引发关注。去年8月，该技术的源代码曾因 FidelityFX SDK的GitHub仓库短暂公开而意外泄露，尽管相关代码很快被撤下，但扩散已无法阻止。此 后，关于FSR 4是否将转向开源的讨论持续发酵。 在近期举行的CES 2026展会期间，AMD多位高管就这一话题释放出明确信号。公司GPU技术总裁兼首 席软件官Andrej Zdravkovi?在一场公开交流中回应了外界对FSR 4开源可能性的提问。他表示，去年8月 的代码外泄事件并非公司计划内行为，但此次事件促使内部重新评估技术发布策略。他透露，AMD确 有意向在未来公开FSR 4的代码库，同时强调将保留核心技术的封闭性，以防止竞争对手获取关键优 势。 Zdravkovi?进一步指出，AMD致力于以尽可能开放的方 式推动技术发展，开源理念早已融入公司的长期战略之 中。当被直接问及FSR 4是否会实现全面开源时，他称 这属于"长期规划"，虽未给出具体时间表，但其表态被 广泛解读为公司正朝该方向迈进。 此前，AMD将FSR 4定位为Radeon RX 9000系列显卡的 专属功能，旨在强化新一代产品的 ...

Linus访谈Linus！ 没错，Linux之父 Linus Torvalds 上了加拿大白嫖王Linus Sebastian的节目——聊AI。 闻乐 发自 凹非寺 量子位 | 公众号 QbitAI 对于当下热议的AI Vibe编程 ，"真·Linus"明确表示： AI辅助的Vibe编程是 入门编程的绝佳方式 。 But祖师爷随即泼了盆冷水，说AI生成代码对入门者来说虽然是好事，但如果将这些代码投入实际使用，那长期管理和修复这些代码也是非常 困难的。 话锋再一转， 程序员并不会被取代 ，因为我们需要那些懂代码维护的人。 两位Linus一边装机一边唠嗑，选择显卡的时候直接pass掉了英伟达 （表情包懂得都懂） ，不过Linus Torvalds坦言近几年随着AI时代的到 来，自己的看法也有所改变。 面对自己最有名的两个"孩子"Linux和Git，他更是直言Linux是亲儿子，Git只有6个月的感情，直接扔给别人"带"（doge）。 除了聊AI，Linus随后谈到的内存可靠性、内涵 马斯克 某人的言论，也只能说有趣又有料～ "不碰"没有ECC内存的机器 熟悉Linus的人可能知道，这位年轻时候的脾气可谈不上有多好 ...

Group 1 - The article discusses how the U.S. can learn from China's technological advancements and innovation strategies, emphasizing that underestimating China's achievements could harm the U.S. [1] - China has transformed from a technology laggard to a tech powerhouse in a few decades, showcasing significant infrastructure and technological developments, including high-speed rail and electric vehicles [1][2] - The article highlights China's resilience in the face of economic challenges, noting its position as the world's largest manufacturing and goods trading nation, with substantial advancements in technology [2] Group 2 - China's unique characteristics in technology include self-manufactured hardware, supported by a robust supply chain, infrastructure, and technical expertise [2] - The article points out that China has installed nearly half of the world's industrial robots and holds over 60% of global 5G base stations, indicating its leading role in technology [2] - The open-source philosophy in China's AI sector is creating significant opportunities, potentially allowing China to shape global technology standards [3] Group 3 - The U.S. is encouraged to invest more in research and attract top overseas talent to revitalize its manufacturing sector, particularly in areas like batteries and renewable energy [3] - The article suggests that potential trade agreements should allow Chinese companies to license intellectual property to U.S. firms, which could create jobs and facilitate advanced manufacturing returning to the U.S. [3] - The ongoing competition between the U.S. and China is acknowledged, but the article advocates for collaboration in specific fields to benefit both nations [3]

Core Points - The conflict between Elon Musk and Sam Altman, co-founders of OpenAI, stems from differing ideologies regarding the organization's original commitment to "open-source and non-profit" principles, with Musk accusing Altman of deviating from these ideals while Altman argues for necessary compromises in advancing AI technology [1][4][6] Communication Issues - Effective communication is essential for success; even the most intelligent individuals can fail to advance their goals if they cannot communicate effectively [3][12] - The essence of communication involves focusing less on oneself and more on others, as highlighted in the book "Learn to Communicate," which emphasizes understanding others' needs rather than solely defending one's own position [7][9] Leadership Communication - Leadership communication is about clearly expressing values, vision, and plans while being audience-centered, which enhances a leader's influence [8][10] - The book contrasts leader-centered language with audience-centered language, suggesting that the latter significantly improves communication effectiveness [9] Practical Communication Skills - The book provides practical communication techniques, including maintaining optimism, using simple language, keeping sentences short, focusing on strong verbs, and frequently using "you" to engage the audience [10][11] - These techniques are often overlooked, especially in high-tech fields where professionals may focus too much on technical details at the expense of interpersonal communication [11] Broader Implications - The communication issues observed in the Musk and Altman dispute reflect common challenges faced in everyday work environments, such as misunderstandings in meetings or emails [12][13] - In modern workplaces, technical skills are only part of the equation; communication skills are crucial for translating technical abilities into real-world impact [14][15] Conclusion - While the outcome of the Musk and Altman dispute remains uncertain, improved communication may prevent disagreements from escalating into unnecessary conflicts [16] - The lessons from "Learn to Communicate" are valuable for fostering understanding and respect in professional relationships, making communication a critical skill in an increasingly interactive world [17]

Core Viewpoint - Huawei's open-sourcing of the Pangu Pro MoE 72B model and its inference technology is a significant step in promoting AI innovation and application across various industries, despite facing allegations of non-originality and compliance issues with open-source practices [1][3]. Group 1: Allegations and Concerns - A GitHub study raised concerns about the Pangu Pro MoE model's similarity to Alibaba's Qwen-2.5 14B model, with an average correlation of 0.927 in attention parameter distribution, suggesting a lack of independent development [2]. - The study's author claimed to have found a copyright notice from Alibaba in the Pangu open-source code, indicating potential copyright infringement [2]. Group 2: Huawei's Response - The Pangu team denied the plagiarism allegations, asserting that their evaluation methods were unscientific and emphasized the model's originality, claiming it is the first hybrid expert model designed specifically for the Ascend hardware platform [3]. - Huawei acknowledged that some foundational components referenced industry open-source practices but maintained compliance with open-source licenses, clearly marking copyright statements in the code [3]. - The company reiterated its commitment to open innovation and respect for third-party intellectual property, aiming to foster collaboration with developers for model optimization and technological breakthroughs [3].

Core Insights - Hugging Face has officially entered the embodied AI sector by launching two humanoid robots, HopeJR and Reachy Mini, marking its first venture into hardware after establishing a strong presence in software [2][3] - The acquisition of Pollen Robotics, the creator of the modular humanoid robot Reachy, has provided the technological foundation for this transition, allowing Hugging Face to leverage Pollen's engineering and design principles in its new robots [2][3] - The company aims to expand beyond chatbots and model hosting to create AI systems capable of interacting in real-world environments while maintaining its commitment to open-source principles [2][3] Company Overview - Hugging Face, founded in 2016, initially launched a chatbot application for teenagers before evolving into a comprehensive machine learning development platform that supports model hosting, dataset sharing, and API integration [3] - The company recognizes the necessity for AI to interact with the physical world, prompting its focus on embodied intelligence and robotics, which are designed for experimentation, collaboration, and reproducibility [3] Product Details - HopeJR is a full-sized humanoid robot designed for developers and researchers, featuring a modular platform with multiple cameras, articulated limbs, and voice interaction capabilities, allowing for testing of language models and perception systems in real-world scenarios [6] - HopeJR boasts 66 degrees of freedom (DOF) and aims to achieve walking capabilities in real-world environments following successful simulations [6] - Reachy Mini is a smaller version of the original Reachy robot, designed for educational purposes and independent developers, featuring functionalities like expression display and basic object manipulation [9] - The introduction of Reachy Mini aims to lower barriers for developers, making it easier to experiment without the costs and complexities associated with larger robots [9] Future Outlook - While specific pricing and release dates for HopeJR and Reachy Mini have not been disclosed, both robots will operate under a loose open-source license [10] - The company plans to introduce benchmark challenges, developer toolkits, and a dedicated robot section on Hugging Face Hub, along with deep integration with the PyTorch robotics platform LeRobot [10] - Hugging Face's CEO emphasizes the open-source strategy to prevent monopolization of robotics technology by a few large companies, reiterating the mission to democratize AI and robotics [10]

Core Insights - The article emphasizes the transformative impact of artificial intelligence (AI) on society and the importance of continuous learning and reading to adapt to rapid technological changes [1] Group 1: Recommended Books on AI - "The Chip that Built the AI Revolution" by Stephen Witt is recommended for its insights into the evolution of GPUs and the integration of software and hardware in driving the AI revolution [2] - "Introduction to Functional Analysis and Applications" by Irving Kreyszig is highlighted for its mathematical foundations behind neural networks, emphasizing that AI is based on measurable operators in Hilbert spaces [4] - "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville is considered a foundational textbook in deep learning, providing a comprehensive understanding of various technologies and research directions in AI [6] - "Machine Learning for Humans" by Vishal Mani and Samir Sabri is recommended as an accessible introduction to machine learning, suitable for beginners to establish foundational concepts [8] - "Artificial Intelligence Index Report 2025" authored by a Stanford professor reviews the progress of the AI industry in 2024, making it suitable for researchers and practitioners [10] - "The Cathedral and the Bazaar" by Eric S. Raymond discusses the principles of open-source ecosystems, relevant in the context of the growing confidence in large model open-source initiatives [12] Group 2: Video Resources on AI - Stanford AI authority professors provide accessible explanations of AI theoretical foundations, frameworks, and practical case studies [14] - Andrew Ng's courses are noted for their clarity and relevance, making complex AI and machine learning concepts understandable for a broader audience [15] - "Learning AI with Li Mu" focuses on core literature in the field, suitable for those looking to deepen their understanding of AI research [15] Group 3: Broader Economic and Historical Context - "The Economy of the Pursued" by Gu Zhaoming categorizes industrialization into three stages and offers policy suggestions for economies striving to maintain a lead [16] - "The Paradox of American Prosperity and Poverty" by Monica Prasad analyzes the institutional reasons behind social stratification in the U.S. [18] - "Economic Interdependence and War" by Dale Copeland systematically analyzes the economic causes behind major modern conflicts [20] - "Confucian-Legalist State: A New Perspective on Chinese History" by Zhao Dingxin emphasizes the importance of understanding Chinese history for contemporary governance [22] - "The Unmissable Chinese History" by Bohai Xiaoli uses war as a lens to explore historical narratives [24] - "The Unchanging Human Nature and Wealth Mindset" by Morgan Housel discusses how to navigate an unpredictable future through understanding life’s realities [26] - "The King of坪效" by Joe Coulomb and Patty Chivalier shares insights on the growth and positioning of Trader Joe's supermarket, revealing essential retail and business principles [29]