Core Insights - Hangzhou is emerging as a new entrepreneurial hub, often referred to as the "Eastern Silicon Valley" due to its vibrant startup ecosystem and government support [1][2][4] - The combination of technology and culture in Hangzhou is seen as a key factor for the success of startups, fostering a collaborative environment for innovation [1][8] Group 1: Entrepreneurial Ecosystem - Thousands of entrepreneurs have flocked to the Liangzhu Cultural Village, creating a community of "new villagers" who share ideas and resources [4][6] - Events like "Crazy Thursday Code Day" have become popular, allowing entrepreneurs to brainstorm and share experiences [4][5] - The government plays a significant role by providing tax reductions and quick access to subsidies, enhancing the entrepreneurial environment [1][4][59] Group 2: Young Entrepreneurs - Young entrepreneurs, including high school students, are actively participating in hackathons and startup competitions, gaining exposure and networking opportunities [17][19] - The "AdventureX" hackathon platform was established to provide a space for young innovators to showcase their ideas and connect with investors [17][19] - Many young entrepreneurs express a desire to create products that resonate with their peers, focusing on community and shared interests [8][15] Group 3: Government Support - The local government has implemented policies that significantly reduce the tax burden for high-tech companies, with corporate income tax rates lowered to 15% [59] - Quick processing times for subsidies, such as the "8-minute arrival" for refunds, demonstrate the government's commitment to supporting startups [59] - Government initiatives include organizing events to connect startups with investors and providing free office space for entrepreneurs [54][59] Group 4: Cultural and Technological Integration - The integration of cultural elements with technological advancements is a unique aspect of Hangzhou's startup scene, attracting talent from various backgrounds [49][52] - Companies in Hangzhou are increasingly focusing on human-centered design and innovation, fostering a playful and curious work environment [52][54] - The presence of established tech companies and a supportive community encourages new startups to thrive and innovate [49][54] Group 5: Educational Influence - Universities in Hangzhou, such as Zhejiang University, are actively promoting entrepreneurship through programs that connect students with industry mentors [44][48] - The "Strong Eagle Plan" offers students guidance from experienced entrepreneurs, enhancing their chances of success in launching startups [48] - Collaborative projects among students from different disciplines are encouraged, leading to innovative solutions and products [42][44]

人人都是音乐创作人的时代来临了！ 出品丨AI 科技大本营（ID：rgznai100） AI 正渗透各行各业，前不久，一首由 AI 创作的歌曲火爆出圈，在短短几天内登上热歌榜单。AI 正在为音乐爱好者打开音乐创作之门。据 Fortune Business Insights 数据显示，2023年全球数字音频工作站（DAW, Digital Audio Workstation）市场规模高达约30亿美元，预计2026年约70%的 DAW企业将使用AI技术辅助音乐创作。 《Mureka》AI 音乐人 MV 全网首发，歌手：Mureka；该作品由 AI 生成，其中音乐由 Mureka 生成，视频由 SkyReels 技术支持生成。 点开这首《童年的夜晚》，旋律柔和动听，人声温柔真挚，咬字清晰，歌词很贴近提示词的风格，完全没有 AI 感，很不错。 将生成的歌曲下载下来后，小编发现它支持音轨分离下载。普通歌曲下载只有一条音轨，而Mureka 提供音乐生成的独立的人声、伴奏等多轨输出，比 如鼓声、贝斯等，这样对编曲者来说无疑是二次创作的神器，方便用户后续混音。 什么？你说提示词生成是小case啦？来，上难度，点击高级模式，Mu ...

Core Viewpoint - The article discusses the launch of Agora's conversational AI engine, DeepSeek, which offers low-latency, real-time voice interaction capabilities at an extremely low cost, making it accessible for developers to integrate AI into applications [1][4][17]. Pricing and Cost Efficiency - The cost of using the AI engine is remarkably low at 0.098 yuan per minute, with an initial offer of 1000 free minutes for new users [3][5]. - Average conversation length is approximately 21.1 seconds, resulting in a cost of only 0.03 yuan per interaction, leading to a monthly cost of less than 0.5 yuan for 15 interactions [5]. Technical Performance - The engine achieves a median response latency of 650 milliseconds, significantly below the 1.7 seconds threshold for natural conversation [7][8]. - It supports interruption of responses with a low latency of 340 milliseconds, mimicking human conversation dynamics [9]. - The engine can filter out 95% of background noise, ensuring high-quality voice recognition even in noisy environments [9]. Network and Compatibility - Agora has established over 200 data centers globally, allowing for stable connections even in poor network conditions, with the ability to maintain communication despite 80% packet loss [10]. - The engine is compatible with various large models, including DeepSeek and ChatGPT, and supports over 30,000 device types, ensuring broad accessibility [10][16]. Developer Accessibility - The integration process for developers is simplified to just two lines of code, allowing for deployment of a conversational AI agent within 15 minutes [11][12]. - Developers can easily switch between different underlying models and voice synthesis providers without altering the front-end logic [13][14]. New Service Model - The launch of the conversational AI engine signifies the emergence of a "voice interaction as a service" model, decoupling RTC technology from large model development [17][18]. - Agora positions itself as a middleware provider in the AI voice interaction ecosystem, facilitating the integration of RTC technology into various AI applications [19][21].

Builders 是由 @Magineer、@有新Newin 以及 @深思SenseAI 联合推出的人物专栏，旨在发现与分享更多的优秀出海创业团队与独立开发者，我们将 定期邀请生态范围内的创始人与团队展开对话。 Tripo.AI 的迭代与未来蓝图 我们尝试基于文章内容，提出更多发散性的推演和深思，欢迎交流。 - 产品和技术能力是生成模型类公司的基本盘 ，Tripo.AI 早期从"生成快"这个点突破，在数据积累和 Scaling law 上坚持推进。 今天我们邀请到的嘉宾是 VAST CMO Sienna，邀请她和我们分享 VAST 的产品 Tripo.AI 在过去的一年时间中如何找到自己的用户，并探索用户增 长。 - 用户不断破圈很重要 ， 从AI科技爱好者，扩展到泛互联网3D设计和实体工业3D打印设计，目前也开始吸引 Roblox 平台的内容消费者。 在访谈中，我们深入探讨了目前 VAST 的产品和技术能力，拆解了目前 Tripo.AI 的核心用户画像及对应的商业模式。同时，由于 3D 内容资产天然比 较难买量传播，Tripo.AI 摸索出了一条社区运营为核心的破圈策略，Sienna 在访谈中为我们分享了很 ...

已经可以做到 "快准狠" 了。 金磊 梦晨 发自 凹非寺 量子位丨公众号 QbitAI 家人们，撰写和修改病历这事儿，那个让无数医生耗时耗力的环节—— 病历内涵质控，现在有了大模型来当得力帮手。 所谓病历内涵质控，简单来说指的就是对病历内容的质量控制。 正如我们刚才提到的，现在这件难事儿，已经靠大模型的辅助，找到了一种能兼顾效率和质量的解 法。 而且纵观整个 "AI+ 医疗" 赛道，很多医疗信息化厂商都将大模型应用落地的箭头指向类似病历内涵 质控这样的应用 "靶点"。 之所以如此，是因为处理病历这项工作，正与大模型的 "气质" 极其相符——专治繁琐、量大的信息 处理工作。 由此便可以让医生从中解放出更多的时间，投入到更匹配其专业方向的工作中。 那它为什么会让医生们如此耗时耗力呢？ 首先，病历本身就会完整、真实地反映出诊疗的全过程，不论对于患者或者医生，还是对医院的管 理而言，重要程度都不言而喻。 毕竟从前期的出诊，到后期的治疗方案、查房、手术等众多环节，病历都会贯穿其中，收纳、承载 和呈现所有相关信息。每一份病历涉及到的信息量都是非常大，也是非常关键的。 而病历内涵质控，强调的是一种逻辑质控，难点就是逻辑非常 ...