Core Viewpoint - The article highlights the significant presence and influence of Chinese companies at the Tokyo Game Show (TGS), showcasing advancements in AI technology and its integration into the gaming industry [1][36]. Group 1: Chinese Companies at TGS - Major Chinese gaming companies such as NetEase, Tencent, and others have established impressive exhibition spaces, attracting numerous players [2][8]. - AI companies are also making their mark at TGS, demonstrating their capabilities and innovations in the gaming sector [8][10]. Group 2: AI Technology Showcase - Alibaba's booth prominently featured its open-source models, including Tongyi Qianwen and Tongyi Wanxiang, offering a range of commercial solutions from IaaS to SaaS [11][12]. - The Model Studio platform and AI development platform PAI were highlighted as part of Alibaba's offerings, indicating a strong push for AI integration in gaming [13][15]. Group 3: 3D Generation Technology - Tencent Cloud emphasized its cloud computing capabilities for game security and operations, while also discussing the potential of mixed reality 3D technology [21][22]. - VAST's Tripo, a leading open-source 3D generation project, is gaining attention from game developers both domestically and internationally [26][27]. Group 4: AI Applications in Gaming - HakkoAI, an AI gaming companion, showcased its ability to understand and interact with various games, outperforming several top general models in specific gaming scenarios [34]. - The integration of AI in gaming is creating new possibilities and enhancing player experiences, indicating a growing trend in the industry [36].

Core Viewpoint - Tencent is making significant strides in both consumer and business sectors with its AI products, showcasing impressive user engagement and technological advancements while also expanding its global infrastructure with a substantial investment in Saudi Arabia [1][19][24]. Group 1: Consumer Product Developments - Tencent Yuanbao has become one of the top three AI-native applications in China, achieving daily active user metrics that match the total question volume from the entire previous month [5][4]. - The AI meeting summary feature in Tencent Meeting has seen a user growth of over 150% in one year [8]. - The Mixyuan Lab has launched over 30 models in a year, with the Mixyuan 3D model achieving a download count exceeding 2.6 million [10][12]. Group 2: Business Integration and Applications - Tencent is successfully transitioning its consumer products to the business sector, with examples like Tencent Cloud CodeBuddy, which generates 50% of new code internally [18]. - Companies like Midea and AstraZeneca are leveraging Tencent's AI capabilities to enhance operational efficiency and service delivery [18]. Group 3: Global Expansion and Investment - Tencent Cloud is not merely exporting products but is taking a validated ecosystem abroad, including audio-video technology and mini-program platforms [20][21]. - The company announced a $150 million investment to build a new data center in Saudi Arabia, aiming to enhance its global digital infrastructure [24][19]. - Tencent's strategy emphasizes increasing industrial efficiency through smart solutions and expanding revenue through global outreach [27].

比如这位CG导演，就利用混元把生成了精致的模型，然后通过3D打印做出了实物。 还有3D艺术家比较了多款工具之后，夸赞混元就是现在（AI生成3D）的王者。 克雷西 发自 凹非寺 量子位 | 公众号 QbitAI 鹅厂最新的3D生成模型，狠狠地圈了一波粉，甚至有人拿它来创作小游戏动画了。 只要一张人物照片，就能直接把人放到游戏世界中畅游。 当然基本功也非常扎实， 不仅支持文/图生成3D模型，还能把生成的模型变成3D动画 。 而且这波混元3D还火到了国外，被X上的网友们玩出了花。 还有人评价称，3D的生成式AI，就快要被解决了。 混元3D V2.5 到底有多强？量子位也上手体验了一波，下面就一起看看这位"3D建模大师"的精彩表演吧。 实测混元3D生成 文生3D 先看文生3D，只需要描述生成的内容，官方建议是按照物体+特征+风格的方式进行描述。 一辆经典款复古汽车，圆润的车身线条，双圆形前大灯，车身为深蓝色 可以看到，提示词中的关键点在模型当中都有体现，整体上也符合人们对"复古汽车"的印象。 继续提升难度，这次不仅增加细节，还涉及到了AI最不擅长的数数。 一把实木餐椅，采用橡木材质，椅面为弧形设计，椅背由五根垂直木条 ...

扫码加入ima知识库 | 类别 | Top关键词 | 主体 | | --- | --- | --- | | 芯片 | 昇腾910C | 华为 | | 模型 | o3智商测试纪录 | OpenAI | | 模型 | 高尔顿板测试 | 谷歌 | | 模型 | Gemma 3 QAT版 | 谷歌 | | 模型 | 稀疏自编码器 | Goodfire | | 模型 | o3高幻觉率 | OpenAI | | 模型 | BitNet三进制模型 | 微软 | | 模型 | AETHER开源 | 上海AI Lab | | 模型 | Skywork-R1V 2.0开源 | 昆仑万维 | | 模型 | Claude人格 | Anthropic | | 应用 | Chrome收购意向 | OpenAI | | 应用 | gpt-image-1 API | OpenAI | | --- | --- | --- | | 应用 | 使用限额翻倍 | OpenAI | | 应用 | Agent SDK开发指南 | OpenAI | | 应用 | FramePack视频生成 | 张吕敏 | | 应用 | Vidu Q1视频生成 | 生数科 ...

Core Viewpoint - The article discusses the transformative impact of AI on the gaming industry, highlighting the evolution of NPCs and the emergence of AI-native games, while questioning the current state and future direction of AI in gaming [1]. Group 1: AI in NPC Development - The initial demand for AI in gaming is to mimic human behavior, particularly in NPCs, which are crucial for player interaction [3][4]. - Traditional NPC design relied on behavior trees and finite state machines, but these methods are limited in creating truly human-like interactions [5]. - The integration of large language models into NPC behavior aims to enhance their expressiveness and interaction capabilities [6][7]. - Major gaming companies in China, such as NetEase and Tencent, are rapidly adopting AI for NPCs, enhancing their conversational and behavioral realism [9][11]. Group 2: Rise of Text-Based AI Native Games - Character.ai has emerged as a leading platform for AI-driven text-based games, achieving significant user growth, with MAU increasing from 30 million to 63 million within a year [13][16]. - The platform appeals particularly to younger audiences, with 66% of users aged 18-24, indicating a strong demand for emotional companionship through AI [16]. - Text-based adventure games are well-suited for AI integration, allowing for deep interaction with NPCs, which aligns with current AI capabilities [17][21]. Group 3: Challenges in Game AI Development - The gaming industry lacks high-quality, stable, and quantifiable datasets necessary for training specialized AI models, which hampers the development of vertical AI tools for gaming [25][30]. - The dynamic and interactive nature of games complicates the quantification of gameplay experiences, making it difficult to create effective AI models [29][30]. Group 4: AI as a Development Tool - AI is increasingly being used as a production tool in game development, with 52% of companies reportedly utilizing generative AI tools [33]. - Companies like Roblox and Tencent are leading in the development of AI-generated 3D assets, enhancing the efficiency of game development processes [34][38]. Group 5: Future of AI in Gaming - The article suggests that the next generation of gamers, who are growing up with AI technologies, will shape the future of AI-native games and potentially become developers and investors in this space [42].