【导读】人类首个AI创作型导演诞生！Josh Wallace Kerrigan用GenAI工具，构建Neural Viz的外星宇宙，避免硬碰AI短板，转而实验伪纪录片形式。 AI内容的未来，不都是电子垃圾！ AI作品不等于电子垃圾。关键在创作者把「缺陷」变成「风格」。 Neural Viz是YouTube上一个「外星人纪录片」频道，目前有23.3万粉丝，每个视频轻松过10万。 Neural Viz背后只有一个人：Josh Wallace Kerrigan。 他用一套AI工具，在家演出了「电影宇宙」。写、导、剪、配音、布光、渲染，他一个人全包。 《连线》直接给它冠名：「AI时代的第一个了不起电影宇宙」。这不是噱头，是完成度与野心的认可。 人类首个AI创作型导演 当年，Trey Parker和Matt Stone用最便宜的工具，彻底颠覆了动画行业。 Neural Viz背后的这位创作者，也在使用一种许多人根本看不起的技术，把这个媒介推向全新的方向。 他或许是历史上第一个「AI作者型导演」（AI auteur）。 直到最近，他几乎一直保持着完全匿名的状态。 他叫Josh Wallace Kerrigan，是家中三个 ...

整个芯片行业似乎普遍都还在竞逐算力的峰值…… 包括中国的企业。 但远在英国的一家名为XMOS的芯片设计公司，却已经开始押注一场更为根本的变革：用生成式AI重塑 人与硅芯片的对话方式。 近日，XMOS首席执行官Mark Lippett向外界披露，该公司正研发一款能通过自然语言提示直接配置其 Xcore处理器硬件特性的GenAI工具。 其愿景极具颠覆性：工程师只需用日常语言描述系统功能，AI便能自动将其转化为可在Xcore上高效运 行的设计，将开发周期从"数月缩短至数天"。 听上去像是对现有开发流程的效率提升，但实则是对半导体行业传统商业模式与价值链条的一次"突 袭"。XMOS此举，仅仅是提供一个更友好的开发界面吗？ 抑或是，它正利用其芯片独特的"硬实时"与"可确定性"架构，在巨头林立的市场中，开辟一条以"决策 智能"为核心的全新护城河？ 一、抽象层次提升了 在我们谈论这场革命之前，先理解一个困扰了电子工程师数十年的难题。 在芯片的世界里，想法与实现之间，横亘着一道巨大而复杂的鸿沟。 您构想了一个精妙的系统，例如一个能同时处理四路麦克风降噪并实时响应语音唤醒的智能设备。但要 将这个构想变为在硅芯片上运行的代码，您 ...

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The report focuses on the commercialization progress of AI applications, highlighting significant advancements in various sectors, including large models, AI video, AI programming, and enterprise-level AI software [4][28] - The report emphasizes the rapid growth in token consumption for AI applications, indicating accelerated commercialization and the emergence of new revenue streams [4][15] - Key companies in the AI space are experiencing substantial valuation increases, with several achieving over $1 billion in annual recurring revenue (ARR) [16][21] Summary by Sections 1. AI Application Overview: Acceleration of Commercialization - AI applications are witnessing a significant increase in token consumption, reflecting faster commercialization progress [4] - Major models like OpenAI have achieved an ARR of $12 billion, while AI video tools are approaching the $100 million ARR milestone [4][15] 2. Internet Giants: Recommendation System Upgrades + Chatbot - Companies like Google, OpenAI, and Meta are enhancing their recommendation systems and developing independent AI applications [4][26] - The integration of AI chatbots into traditional applications is becoming a core area for computational consumption [14] 3. AI Programming: One of the Hottest Application Directions - AI programming tools are gaining traction, with companies like Anysphere achieving an ARR of $500 million [17] - The commercialization of AI programming is accelerating, with several startups reaching significant revenue milestones [17][18] 4. Enterprise-Level AI: Still Awaiting Large-Scale Implementation - The report notes that while enterprise AI has a large potential market, its commercialization has been slower compared to other sectors [4][25] - Companies are expected to see significant acceleration in AI implementation by 2026 [17] 5. AI Creative Tools: Initial Commercialization of AI Video - AI video tools are beginning to show revenue potential, with companies like Synthesia reaching an ARR of $100 million [15][21] - The report highlights the impact of AI on content creation in education and gaming [4][28] 6. Domestic AI Application Progress - By mid-2025, China's public cloud service market for large models is projected to reach 537 trillion tokens, indicating robust growth in AI applications domestically [4] 7. Key Company Valuation Table - The report provides a detailed valuation table for key companies in the AI sector, showcasing significant increases in their market valuations and ARR figures [16][22]