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本周数据平台近期官方渠道公开权威通报:近日行业报告发布最新研究成果,《火炬之光2洗点攻略:让你的角色重焕新生!》
在《火炬之光2》这款充满挑战与冒险的RPG游戏中,洗点系统是玩家们提升角色实力的关键环节。洗点,顾名思义,就是重新分配角色的属性点,让角色在原有的基础上,获得更强大的战斗力。那么,如何合理地进行洗点,让角色在游戏中重焕新生呢?下面,就让我为大家详细解析一下《火炬之光2》的洗点攻略。 ### 1. 了解洗点规则 在《火炬之光2》中,每个角色都有6个基础属性:力量、敏捷、智力、体质、耐力、精神。洗点时,玩家可以将这些属性点重新分配,但要注意,每个属性点的增加都会带来相应的消耗。具体来说,增加1点属性点需要消耗一定的金币和经验值。 ### 2. 确定洗点目标 在洗点之前,首先要明确自己的游戏目标。是追求高输出,还是追求高防御?是追求快速移动,还是追求持久作战?不同的游戏目标,需要洗点时侧重不同的属性。 #### 2.1 高输出 如果玩家追求高输出,那么可以将更多的属性点投入到力量、敏捷和智力上。力量可以提高攻击力,敏捷可以提高攻击速度和闪避率,智力可以提高魔法伤害和治疗效果。 #### 2.2 高防御 如果玩家追求高防御,那么可以将更多的属性点投入到体质、耐力和精神上。体质可以提高生命值,耐力可以提高生命回复速度,精神可以提高魔法抗性。 #### 2.3 快速移动 如果玩家追求快速移动,那么可以将更多的属性点投入到敏捷和体质上。敏捷可以提高移动速度,体质可以提高生命值和生命回复速度。 #### 2.4 持久作战 如果玩家追求持久作战,那么可以将更多的属性点投入到体质、耐力和精神上。体质和耐力可以提高生命值和生命回复速度,精神可以提高魔法抗性。 ### 3. 合理分配属性点 在确定洗点目标后,接下来就是合理分配属性点了。以下是一些洗点建议: #### 3.1 力量型角色 力量型角色以攻击力为主,建议将大部分属性点投入到力量和敏捷上,少量分配到智力、体质和耐力。 #### 3.2 敏捷型角色 敏捷型角色以攻击速度和闪避率为主要优势,建议将大部分属性点投入到敏捷上,少量分配到力量、智力、体质和耐力。 #### 3.3 智力型角色 智力型角色以魔法伤害和治疗效果为主,建议将大部分属性点投入到智力上,少量分配到力量、敏捷、体质和耐力。 #### 3.4 体质型角色 体质型角色以生命值和生命回复速度为主,建议将大部分属性点投入到体质上,少量分配到力量、敏捷、智力和耐力。 ### 4. 注意洗点时机 在游戏中,洗点时机非常重要。一般来说,在角色达到一定等级、获得大量金币和经验值时,进行洗点可以获得更好的效果。 总之,《火炬之光2》的洗点系统为玩家提供了丰富的角色成长空间。通过合理分配属性点,玩家可以让自己的角色在游戏中重焕新生,迎接更多的挑战。希望本文的攻略能够帮助到各位玩家,祝大家在游戏中一路顺风!
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