生成式AI 一、 联发科推出了新一代旗舰 5G 智能体 AI 芯片天玑 9500 1. 天玑9500采用第三代3nm工艺和全大核架构，集成超300亿晶体管，NPU性能比上代提升 111%，功耗降低56%； 1. OpenAI已投入160亿美元租用计算资源，计划在2024-2030年间砸下3500亿租赁服务 器，2030年单年预计花费1000亿； 2. 近期公司与甲骨文签署5年3000亿美元算力合同，额外追加1000亿美元用于备用服务器， 打破传统科技巨头研发成本仅占收入10%-20%的规模； 3. 奥特曼预告未来几周推出计算密集型新产品，但Pro用户也需额外付费，引发用户不满。 https://mp.weixin.qq.com/s/4Kz34tpAXIsVlTNDNur_Fg 三、 谷歌开源新Deep Research范式，教Agent真正的思考 1. 谷歌突破传统Agent"规划-检索-生成"模式，提出新的研究框架，像人类专家一样先打草 稿，再不断检索学习迭代修正； 2. 新框架采用"扩散式降噪"过程，让Agent能基于草稿发现信息缺口，从外部搜寻证据，反 复优化研究内容； 2. 芯片采用超性能+超能效双N ...

Core Viewpoint - The article discusses the advancements of the AI video generation model, 可灵2.5, highlighting its significant improvements in motion and performance capabilities compared to its predecessor, 可灵2.1, and its potential impact on creative freedom for young creators [1][54]. Group 1: Motion Evolution - 可灵2.5 demonstrates a substantial enhancement in motion capabilities, allowing for seamless transitions between complex actions such as falling, running, and riding a motorcycle, showcasing a high level of realism [2][5]. - The model can generate dynamic and fluid movements in various scenarios, including parkour and sports, achieving effects comparable to professional films [10][18][20]. - In contrast, 可灵2.1 struggled with maintaining realistic interactions with the environment, often resulting in disjointed or unrealistic movements [6][12]. Group 2: Performance Evolution - 可灵2.5 shows a marked improvement in the accuracy of emotional expressions and character performances, allowing for nuanced portrayals of complex emotions [29][45]. - The model can effectively convey subtle emotional transitions, such as a character's shift from anger to calmness, which was less successful in 可灵2.1 [29][42]. - The ability to generate diverse emotional expressions has been significantly enhanced, allowing for more relatable and engaging character interactions [35][50]. Group 3: Overall Improvements - The update to 可灵2.5 not only elevates motion and performance capabilities but also enhances the model's understanding of context and detail, addressing previous limitations in generating coherent narratives [54][56]. - The advancements in text-to-video capabilities allow creators to generate content with minimal input, fostering greater creative freedom [55][57].