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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.
。很多人都还在期待火箭签下德罗赞，但是最新消息，显示德罗赞基本不会来了。不过休赛期火箭悄悄拿下了一个很适配体系的球员，那就是奥斯卡‑希布韦。这名球员可能很多球迷不熟悉，但他是大学和发展联盟历史上顶级的篮板怪兽。看数据就知道有多夸张，发展联盟曾经场均19个篮板，其中8.3个是进攻篮板。就算来到联盟后，上场时间有限，15分钟左右，也能稳定交出6个以上篮板，尤其进攻篮板是他的看家本领。他效力过步行者、爵士，出场了49场，场均15.2分钟拿到7分6.5篮板。

二 | 出场时间不长，但篮板效率极其恐怖。要知道，火箭这两年本来就是全联盟进攻篮板最靠前的队伍，教练组非常看重拼抢二次进攻，延长进攻回合。引进希布韦，就是继续放大这个优势。但我们要客观看待这些，他不是来顶替申京的。申京是内线轴心，要策应、传球、组织进攻。希布韦的定位是蓝领内线替补，任务很纯粹：冲篮板，尤其是进攻篮板，拼二次得分，干脏活累活。他没有细腻的持球策应，自主进攻能力有限，最大价值就是篮板活力。当申京下场休息，内线需要有人疯狂冲抢篮板的时候，希布韦就能派上用场。不要把他当成明星补强，这是一笔功能性引援。