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近日评估小组公开关键数据:本月行业协会披露重大成果,探索角色扮演系统（RPG）的魅力：从NPN到现代游戏体验

在游戏世界中，角色扮演系统（Role-Playing Game，简称RPG）一直占据着重要的地位。它不仅为玩家提供了一个沉浸式的虚拟世界，还让玩家能够通过扮演不同的角色，体验丰富多彩的人生。其中，NPN（Non-Player Character，非玩家角色）作为RPG游戏的核心元素之一，扮演着至关重要的角色。本文将带领大家探索角色扮演系统的发展历程，从NPN的起源到现代游戏体验。 一、NPN的起源与发展 1. NPN的诞生 NPN最早可以追溯到20世纪70年代的桌面角色扮演游戏（Tabletop RPG）。在那个时代，玩家们围坐在一张桌子旁，通过讲述故事、扮演角色来共同体验游戏。在这个游戏中，除了玩家扮演的角色外，还有许多由游戏主持人（Game Master，简称GM）控制的非玩家角色。这些角色通常被称为“非玩家角色”，即NPN。 2. NPN在电子游戏中的发展 随着电子游戏技术的不断发展，NPN逐渐从桌面游戏走向了电子游戏。早期的电子RPG游戏，如《龙与地下城》（Dungeons & Dragons）和《最终幻想》系列，都采用了NPN系统。这些游戏中的非玩家角色，不仅为玩家提供了丰富的剧情和任务，还让玩家在游戏中拥有了更多的互动和选择。 3. NPN在现代游戏中的演变 随着游戏技术的进步，NPN在游戏中的地位和作用也发生了很大的变化。现代游戏中的NPN已经不再仅仅是游戏剧情的推动者，它们还具备了更高的智能和互动性。例如，《刺客信条》系列中的NPC，不仅能够根据玩家的行为做出反应，还能与玩家进行对话，甚至参与到玩家的任务中。 二、角色扮演系统（RPG）的魅力 1. 沉浸式体验 RPG游戏通过丰富的剧情、角色和世界观，为玩家提供了一个沉浸式的虚拟世界。在这个世界中，玩家可以自由地探索、完成任务、与其他角色互动，从而获得独特的游戏体验。 2. 丰富的角色扮演 RPG游戏中的角色扮演系统，让玩家可以根据自己的喜好和兴趣，选择不同的角色进行扮演。这些角色拥有不同的背景、性格和能力，让玩家在游戏中体验到不同的人生。 3. 持续的剧情和任务 RPG游戏通常拥有丰富的剧情和任务，玩家在游戏中需要不断探索、解谜、战斗，以推动剧情的发展。这种持续的剧情和任务，让玩家在游戏中始终保持新鲜感和挑战性。 三、总结 角色扮演系统（RPG）作为游戏领域的一个重要分支，凭借其独特的魅力，吸引了无数玩家的喜爱。从NPN的起源到现代游戏体验，RPG游戏不断发展和创新，为玩家带来了丰富多彩的游戏世界。相信在未来的日子里，RPG游戏将继续为玩家带来更多惊喜和乐趣。

TMTPOST --   Chinese telecommunications giant Huawei unveiled a sweeping expansion of its artificial intelligence computing ambitions on Thursday, announcing new supercomputing systems powered by its in-house Ascend chips. The move signals escalating competition with U.S. chipmaker Nvidia, the global leader in AI processors.AI-generated imageAt its annual Huawei Connect conference in Shanghai, the company introduced the forthcoming "Atlas 950 SuperCluster," which it said will begin rolling out as early as next year. The announcement underscores Huawei ’ s determination to challenge U.S. dominance in advanced AI hardware despite Washington ’ s tightening export controls on semiconductors."The competition has undeniably arrived and is gaining momentum," an Nvidia spokesperson said. "Customers will choose the best technology stack for running the world ’ s most popular commercial applications and open-source models."U.S. restrictions have cut China off from the most advanced chips needed to train large-scale AI models, forcing Chinese firms to rely on domestically developed processors or stockpiles of older foreign components. Huawei, long targeted by U.S. sanctions, has turned to large-scale clustering of its less powerful but increasingly refined Ascend processors. By combining vast numbers of these chips in interconnected networks, the company aims to match or surpass the performance of systems built on Nvidia ’ s hardware.Huawei said it plans to release three new versions of its Ascend chips through 2028, pledging to double computing power with each iteration. At the base level, its new Atlas 950 supernode will connect 8,192 Ascend chips. A full Atlas 950 SuperCluster would integrate more than 500,000 chips.A future upgrade, the Atlas 960 system slated for 2027, is projected to support nearly 15,500 chips per node and scale to more than 1 million Ascend processors across a full supercluster. Huawei claimed these would represent the world ’ s most powerful AI systems by raw computing power.Huawei did not shy away from comparisons with its American rival. Eric Xu, the company ’ s vice chairman and rotating chairman, said the Atlas 950 supernode would deliver 6.7 times more computing power than Nvidia ’ s upcoming NVL144 system. He went further, predicting Huawei would "be ahead on all fronts" compared with Nvidia ’ s 2027 offering — and claimed the Atlas 950 SuperCluster would even exceed the computing capacity of Elon Musk ’ s xAI Colossus project.While independent verification of Huawei ’ s claims is limited, industry experts said the company ’ s ambition is clear."Huawei ’ s announcement on its computing breakthrough is well timed with recent increasing emphasis by the Chinese government on self-reliance on China ’ s own chip technologies," said George Chen, partner and co-chair of the digital practice at The Asia Group. While noting that Huawei might be overstating its technical edge, he added, "the ambition to be a world AI leader cannot be underestimated."Research from SemiAnalysis earlier this year found that Huawei ’ s CloudMatrix system outperformed Nvidia ’ s equivalent despite each Ascend processor offering only about one-third the power of an Nvidia chip. The advantage came from scale: Huawei deployed roughly five times as many chips in its clusters."Computing power has and will continue to be the key for AI," Xu emphasized during his keynote speech in Shanghai.Huawei ’ s new announcements build on earlier efforts. Two years ago, it introduced the Atlas 900 SuperCluster, which it still markets with "thousands" of Ascend chips. On Thursday, the company said it had already deployed more than 300 Atlas 900 A3 supernodes to over 20 clients across telecoms, manufacturing, and other sectors.This momentum reflects a broader push within China to substitute foreign technology with homegrown alternatives. Beijing has increasingly pressed domestic firms to use local suppliers and invest in national semiconductor capabilities. Huawei ’ s breakthroughs are likely to be touted as proof of progress in these efforts.Huawei ’ s offensive comes as Nvidia faces growing headwinds in China, once one of its most important markets. Earlier this week, China extended an antitrust probe into the U.S. company over alleged monopolistic practices. On Wednesday, Nvidia ’ s shares fell more than 2% after the Financial Times reported that Beijing had ordered Chinese tech giants to halt testing and purchases of the RTX Pro 6000D, one of Nvidia ’ s new AI-focused chips.Nvidia Chief Executive Jensen Huang expressed frustration over the developments. "I am disappointed to hear this news," he told reporters, while reiterating that Huawei represents a "formidable" competitor.The geopolitical context adds another layer of complexity. The U.S. and China concluded trade talks in Spain this week that reportedly included discussions over the fate of TikTok, the video app owned by Beijing-based ByteDance. But technology co