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GT Voice: Bridging digital gap to be decisive factor in global AI competition_我的网站

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    Conceptual diagram of AI Photo: VCG
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.
。    北京时间8月15日，中国男篮热身赛主场对阵乌拉圭男篮，中国男篮二番战轮休胡金秋与胡明轩两位核心。中国男篮次节开局取得7分优势，但之后被乌拉圭男篮一波23-1攻势反超比分，并在末节被拉开25+落后差距，最终中国男篮72-91惨负乌拉圭男篮，遭遇今夏热身赛首败。         数据统计          中国男篮：赵嘉义4记三分17分3篮板3助攻，李弘权10分7篮板，焦泊乔11分7篮板。         乌拉圭男篮：维斯科维21分7篮板6助攻4抢断，马丁内斯11分，波莫利12分。         本场之星          在中国男篮惨负乌拉圭男篮的比赛，赵嘉义命中4记三分爆发，轰下全队最高的17分，成为惨败夜为数不多的亮点。         焦点事件          中国男篮阵容做出调整，胡金秋与胡明轩轮休缺席，蒋浩然与赵继伟进入大名单，王俊杰重回首发阵容。         贺希宁命中全队首记三分。         赵继伟防守时和对手发生摩擦，所幸及时被队友拉开。

B |          中国男篮被乌拉圭男篮一波23-1攻势拉开20+差距。         朱俊龙突破上篮得分，打破中国男篮长达7分钟进球荒。

C |          庞峥麟分球被断，李弘权追防被吹违体犯规。         比赛回顾          中国男篮在上一场热身赛，主场83-78险胜乌拉圭男篮。

D | 本场首节开局，朱俊龙上篮与焦泊乔抛射取得4-0领先，马丁内斯暴扣与戈麦斯上篮回敬，廖三宁与马丁内斯各完成一次上篮得分。贺希宁与赵嘉义各中一记三分取得领先，乌拉圭男篮多点开花反超1分，庞峥麟连中两记中投，卢卡斯三分追平比分。赵嘉义造犯规两罚全中，赵继伟与对手略有摩擦被分开，首节结束中国男篮18-16领先乌拉圭男篮。

E |          次节比赛，李弘权率先三分命中，比安奇连得4分，赵嘉义连中两记三分回敬扩大7分优势。乌拉圭男篮连追5分，程帅澎三分命中与焦泊乔两罚全中，中国男篮维持32-25领先。马丁内斯三分命中，中国男篮再得3分，乌拉圭男篮一波7-0攻势追到35-35。王俊杰内线命中，乌拉圭男篮连得3分，赵继伟两罚全中，乌拉圭男篮一波10-0攻势反超。中国男篮单节21-32输掉11分，上半场结束中国男篮39-48落后乌拉圭男篮。         易边再战，焦泊乔率先造犯规两罚一中，乌拉圭男篮内外开花打出一波13-0攻势，中国男篮已经40-61落后21分差距。朱俊龙上篮打破得分荒，赵嘉义三分命中，乌拉圭男篮连中两记三分，双方均两罚一中。李弘权三分、2+1与两罚一中连得7分追分，卡帕尔博中投得分，中国男篮单节14-22输掉8分，三节结束中国男篮53-70落后乌拉圭男篮。前三节比赛，赵嘉义4记三分15分与李弘权10+7。         进入第四节比赛，程帅澎率先中投得分，乌拉圭男篮多点开花一波14-1攻势拉开28分优势，其中李弘权被吹罚一次违体犯规。焦泊乔三分追分，比安奇勾手命中，王俊杰与赵嘉义引领一波6-0攻势追分。

F | 卢卡斯三分回敬，廖三宁连追4分，但由于落后差距太大，中国男篮已经无力扭转局势，最终中国男篮惨负乌拉圭男篮吞热身赛首败。中国男篮下一场热身赛比赛，将是8月17日对阵新西兰男篮。         双方首发          中国男篮：廖三宁、焦泊乔、王俊杰、朱俊龙、贺希宁          乌拉圭男篮：维斯科维、戈麦斯、罗德里格斯、伊格莱西亚斯、马丁内斯          （文/醉卧浮生）。

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