这是难得一见的一幕—— 11月6日，一群AI大神聚集深圳南山。这是「X-Day」西丽湖路演社的人工智能创新人才路演现场，6家聚焦人工智能 核心领域的企业逐一亮相，他们的核心团队大多拥有顶尖院校背景和全球行业巨头的实战经验，创始人光环满身。 本场活动亦为"深圳创投日三周年：AI时代"系列活动的组成部分之一。 AI时代，产业变革速度空前，一两个顶尖人才抵得上千军万马，而这些聚焦于"顶尖院校、重点班级、重大赛事、行 业专家"的团队，构成了中国AI创业浪潮的一角。 目前，进化智能已完成多轮融资，估值达数亿元。"聚光灯打到清华人身上，是一种鞭策，我们希望能进入这个新生 代的浪潮。"李嘉翔说。 识渊科技联合创始人、COO王珏是场上唯一一个女生。她的背后是一群有着清华和商汤背景的90后团队，创始人季聪 是商汤科技早期员工，还有"华为天才少年"、牛津AI博士茹彬鑫坐镇。 这里，来了一群AI创始人 共绩算力出现前，"共享算力"已经不算新鲜，但联合创始人黄力昂带来了一个新突破。成立于2023年的共绩算力，是 由一个00后博士付智所带领的清华创业团队。 最初，几个清华学生因在科研上算力不足而搭建了一个校内算力共享网络。2024年A ...

AI人才战 。 作者 I 杨文静 报道 I 投资界PEdaily 11月6日，一群AI大神聚集深圳南山。这是「X-Da y」西丽湖路演社的人工智能创新人 才路演现场，6家聚焦人工智能核心领域的企业逐一亮相，他们的核心团队大多拥有顶尖 院校背景和全球行业巨头的实战经验，创始人光环满身。 这是难得一见的一幕—— 本场活动亦为"深圳创投日三周年：AI时代"系列活动的组成部分之一。 AI时代，产业变革速度空前，一两个顶尖人才抵得上千军万马，而这些聚焦于"顶尖院 校、重点班级、重大赛事、行业专家"的团队，构成了中国AI创业浪潮的一角。 共绩算力 出现前，"共享算力"已经不算新鲜，但联合创始人黄力昂带来了一个新突破。 成立于202 3年的共绩算力，是由一个00后博士付智所带领的清华创业团队。 最初，几个清华学生因在科研上算力不足而搭建了一个校内算力共享网络。2024年AI爆 发，算力平台开始走出清华，逐渐发展为专注"算力+能源"融合调度的公司，如今拿下奇 绩论坛、水木创投、新进投资等多家机构融资。 源于两个高中同学一拍即合的创业想法，他们迅速召集到一个来自麻省理工、清华北大 等高校和腾讯、阿里、谷歌、英伟达等头部企业的团 ...

Core Viewpoint - The article discusses the emerging opportunities and trends in the AI industry, particularly focusing on the potential of startups and innovations in various verticals of AI technology, highlighting the shift towards specialized applications and the importance of foundational technologies in driving future growth [3][4][24]. Group 1: AI Industry Trends - The current wave of AI is characterized as a "young people's era," with startups leveraging AI-native thinking to drive innovation [4]. - Future opportunities in AI are identified in three areas: breakthroughs in algorithm limitations, real-world interactions, and AI safety [4]. - The underground exhibition area showcases startups that are developing practical AI applications, contrasting with the more flashy displays in other sections [3][4]. Group 2: Startup Innovations - Companies like 共绩算力 are addressing the demand for flexible computing power by creating a platform that shares idle computing resources, akin to an "Airbnb for computing" [6][7]. - The AI training process is likened to a chef experimenting with ingredients, emphasizing the high resource consumption and the need for efficient computing solutions [8][9]. - Startups such as AKool and 医者AI are focusing on specific verticals, with AKool generating over $40 million in annual recurring revenue and targeting both consumer and business markets [20]. Group 3: Investment Landscape - Investors are increasingly interested in vertical AI applications, moving away from general-purpose AI products to more specialized solutions [19][24]. - The article notes a growing consensus among investors to explore vertical AI opportunities, particularly in sectors like healthcare and education [19][24]. - The emergence of companies like RWKV, which aims to innovate beyond the Transformer architecture, highlights the ongoing evolution in AI model development [14][15]. Group 4: Future Outlook - The article suggests that the current landscape of AI startups is dynamic, with many companies rapidly iterating on their products and seeking to educate both clients and investors about their innovations [24]. - The potential for significant transformation in the AI sector is acknowledged, with the possibility that many current projects may evolve or cease to exist as technology and market conditions change [24]. - The narrative emphasizes the importance of independent thinking and innovation in shaping a better future for the AI industry [25].