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在日常生活中，烹饪不仅仅是一种生存技能，更是一种艺术和享受。然而，当我们在烹饪过程中情绪波动，尤其是躁狂情绪的涌现，这会对烹饪过程产生怎样的影响呢？本文将探讨一边做饭一边躁狂可能带来的后果，以及如何应对这种情况。 首先，躁狂情绪在烹饪过程中可能会带来以下几种影响： 1. **烹饪质量下降**：躁狂情绪容易导致烹饪者注意力不集中，操作失误增多，从而影响烹饪质量。比如，调味品放错、火候掌握不当等，都可能使菜肴变得不美味。 2. **烹饪效率降低**：躁狂情绪容易使人冲动，导致烹饪过程中频繁更换食材或调料，使得烹饪时间延长，效率降低。 3. **烹饪环境恶化**：躁狂情绪容易引发争吵或冲突，使烹饪环境变得紧张，影响烹饪者的心情和烹饪质量。 4. **健康风险增加**：躁狂情绪可能导致烹饪者忽视安全操作，如油溅伤、烫伤等意外事故的风险增加。 那么，如何应对一边做饭一边躁狂的情况呢？ 1. **调整心态**：在烹饪前，先调整好自己的心态，保持平和、专注的情绪。可以通过听音乐、深呼吸等方式来放松心情。 2. **制定计划**：在烹饪前，制定一份详细的烹饪计划，包括食材准备、烹饪步骤等，有助于提高烹饪效率，减少躁狂情绪的产生。 3. **寻求支持**：在烹饪过程中，如果感到情绪波动，可以寻求家人或朋友的帮助，共同完成烹饪任务。 4. **培养兴趣**：将烹饪视为一种兴趣爱好，享受烹饪过程中的乐趣，有助于减轻躁狂情绪的影响。 5. **保持良好作息**：保证充足的睡眠，合理安排作息时间，有助于保持情绪稳定。 6. **学会调节情绪**：当躁狂情绪出现时，可以通过运动、聊天、听音乐等方式来调节情绪，避免情绪失控。 总之，一边做饭一边躁狂可能会对烹饪过程产生负面影响。为了提高烹饪质量，保持良好的烹饪环境，我们需要学会调整心态，制定合理的烹饪计划，并寻求适当的支持。同时，关注自身情绪变化，学会调节情绪，让烹饪成为一种愉悦的体验。

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