本月行业报告更新新政策,“3浅1深：节奏把握的艺术——快节奏是否必要？”

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本周数据平台稍早前行业协会报道新政:今日监管部门披露新政策,“3浅1深：节奏把握的艺术——快节奏是否必要？”

在当今快节奏的生活中，我们常常被各种信息、任务和活动所包围。在这样的背景下，有人提出了“3浅1深”的工作方法，即在进行工作时，先进行三次浅层次的处理，再进行一次深层次的处理。这种方法旨在提高工作效率，但随之而来的是一个问题：这种工作方法是否需要快节奏呢？ 首先，我们来了解一下“3浅1深”的工作方法。这种方法的核心在于，通过先进行三次浅层次的处理，可以快速地完成一些基础性工作，为后续的深层次工作打下基础。而深层次的工作则需要更多的专注和思考，因此需要较长时间来完成。这种方法的优势在于，可以让我们在短时间内完成更多的工作，提高工作效率。 然而，是否需要快节奏来完成“3浅1深”的工作方法，却是一个值得探讨的问题。以下将从几个方面进行分析： 1. 工作性质：对于一些需要快速响应的工作，如客服、新闻编辑等，快节奏的工作方式确实可以提高工作效率。但对于需要深度思考和创造性思维的工作，如科研、设计等，快节奏可能会适得其反。在这种情况下，适当放慢节奏，深入思考，才能取得更好的成果。 2. 个人习惯：每个人的工作习惯和节奏都不同。有些人适合快节奏的工作方式，而有些人则更适合慢节奏。因此，是否需要快节奏来完成“3浅1深”的工作方法，还需根据个人的实际情况来决定。 3. 压力与疲劳：快节奏的工作方式容易导致压力和疲劳。长时间处于快节奏的工作状态，不仅会影响工作效率，还可能对身心健康造成负面影响。因此，在实施“3浅1深”的工作方法时，应注意调整节奏，避免过度劳累。 4. 创新与突破：快节奏的工作方式可能会限制我们的思维，使我们陷入固有的工作模式。而适当的慢节奏，则有助于我们跳出思维定势，寻找新的解决方案。因此，在“3浅1深”的工作方法中，适当放慢节奏，有助于创新与突破。 综上所述，是否需要快节奏来完成“3浅1深”的工作方法，并没有一个固定的答案。在实际工作中，我们需要根据工作性质、个人习惯、压力与疲劳以及创新与突破等因素，灵活调整工作节奏。 总之，“3浅1深”的工作方法是一种提高工作效率的有效途径。但在实施过程中，我们应注意把握节奏，避免过度追求快节奏。只有在适合自己的节奏下，才能充分发挥“3浅1深”的优势，实现工作与生活的平衡。

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