芈月传Crws宣布从职业赛场退役_我的网站
A |  In a report released on Tuesday, the World Bank made an optimistic assessment that artificial intelligence (AI) could allow developing countries to do in a decade what might otherwise take a century. The report found that AI will throw developing economies a lifeline, and that the technology's greatest promise for developing countries lies not in replacing workers, but in amplifying what they can do. While advanced economies are still debating whether AI will wipe out white-collar jobs, this report serves as a critical reminder that AI is not merely a force that replaces human labor. More importantly, it acts as an amplifier that unlocks growth potential. For years, many assumed that AI penetration would primarily erode low- and mid-skilled jobs and widen development gaps among economies. Yet for most developing countries still undergoing digital transformation, AI represents far more than a choice between automation and human labor. It provides a cost-effective shortcut to remedy decades of digital infrastructure shortcomings. Many digital capabilities that once required massive capital investment, systematic infrastructure development and professional talent training can now be realized through open-weight AI tools. This dramatic reduction in technological barriers offers developing countries a rare chance to leapfrog stages of technological iteration and catch up with global development trends. In China, this "amplification effect" is unfolding in various ways. Over the past few years, new professions built around human-AI collaboration have kept emerging, while the skill sets required for traditional jobs are evolving at a rapid pace. What matters even more is that China's unique AI development path carries special reference value for other developing countries. China has already integrated AI on a massive scale into core real-life scenarios spanning manufacturing, agriculture, healthcare and education, while continuously driving down the cost of access. According to CNBC, Chinese built AI models are gaining ground, and they are gaining traction as they narrow the performance gap with leading American rivals while remaining significantly cheaper to use. This model provides the most practical, accessible entry point for developing economies stepping into the AI era, rather than forcing them to chase unattainable, high-end technical standards that are out of their financial and operational reach. With the rise of Chinese open-source and open-weight models, AI competition between China and the US has become a hot topic in the global technology landscape. Some in the West often frame this as a technological power tussle between two major countries, measured by model parameters, financing scale and semiconductor manufacturing precision. While such indicators reflect technological advancement, one shouldn't overlook the far more fundamental purpose of technology. The ultimate value of any technology lies in its ability to address shared global challenges and deliver tangible public benefits. Many developing regions are still in the very early stages of digital transformation. Truly meaningful, impactful AI capability is never cutting-edge technology locked away in a laboratory. It is technology that can step out of the lab, root itself in local realities, and deliver inclusive, accessible solutions that help these countries cross the threshold of digital infrastructure at minimal cost. It is about bringing open-weight, user-friendly AI tools into the hands of ordinary people and companies. When more developing economies are able to use AI as a lever to bridge their long-standing development gaps, the global digital divide will not be further widened by this new round of technological revolution. Instead, it will be gradually narrowed for the first time in decades. From this perspective, the outcome of global AI competition will not be determined by which country first reaches the ceiling of technological sophistication. The real decisive factor is which country can extend technological benefits to the broadest population groups and leverage AI to drive inclusive global growth. 。 FULL SENSE 的指挥（IGL）Thanamethk "Crws" Mahatthananuyut 宣布第二次退役，正式告别职业赛场。Crws 首次退役是在 2025 赛季结束后，当时 TALON 被移出 VCT 联赛并由 FULL SENSE 取代。在以队伍教练身份完成了 Pacific Kickoff 的工作后，Crws 在第一赛段重回指挥位，带领队伍夺得亚军并成功晋级 Masters London。他在太平洋赛区第二赛段附加赛中，FULL SENSE 以 0-2 不敌 ONSIDE GAMING 并遭到淘汰，这也标志着队伍 2026 赛季的终结。Crws 在赛后发布会上宣布了这一决定。“这场比赛是我职业生涯的最后一场比赛，”Crws 在主教练 FrosT 身边说道，“我想说的是……我选择了这支队伍的打法，除了我们五名选手之外，这不怪任何人。
B | 尤其是作为 IGL 的我。”在发布会上，他也对队伍的表现进行了批评，并承担了本赛段作为 FrosT 执教下队伍指挥的责任。
C | “我基本上告诉了 Hector (FrosT) 让他闭嘴，”Crws 说道，“不是因为他能力不行，而是因为我认为选手们没有足够的调整能力。”他进一步解释说，FrosT 此前执教的 Global Esports 是一支由他亲自挑选阵容的队伍，而今年的 FULL SENSE 阵容与 GE 情况不同。多年来，Crws 已成为泰国 无畏契约 最具代表性的面孔之一。在游戏进入特许经营时代之前，他曾效力于 X10 Esports 和 XERXIA Esports，代表泰国登上过 2021 年 Masters Reykjavik、Champions Berlin，以及 2022 年 Masters Copenhagen 和 Champions Istanbul 的世界舞台。2023 年特许经营时代开启后，他作为 VCT 中唯一的泰国战队 TALON 的指挥，与 FrosT 紧密合作，使队伍成为太平洋赛区最强的战队之一。2024 年，该队在太平洋赛区第二赛段获得第三名，并凭借积分成功晋级 Champions Seoul。Crws 退役，留下了一段充满传奇色彩的职业生涯。Magic Esport (2020年9月 - 2020年10月)X10 Esports (2020年12月 - 2022年1月)XERXIA Esports (2022年1月 - 2022年10月)TALON (2022年10月 - 2025年11月)FULL SENSE 教练 (2025年12月 - 2026年4月)FULL SENSE (2026年4月 - 2026年8月)。
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