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Readers’ Reflections: China’s innovation success is real global news, landing in the living rooms of Italian retirees who barely use a smartphone: Italian scientist_我的网站

青春派

A |     

Francesco Faiola
    Francesco Faiola
Editor's Note:
Ahead of the opening of the 2026 World AI Conference and High-Level Meeting on Global AI Governance, Chinese AI start-up Moonshot AI released its Kimi K3 large language model. As the world's largest open-source model by parameter count to date, this launch marks a significant step forward in the development of China's artificial intelligence models.
From the C919 airliner soaring into the skies to Unitree's humanoid robots stealing the show; from DeepSeek pushing the AI frontier to Moonshot AI's landmark unveiling of Kimi K3 - China's wave of homegrown innovations has dominated global headlines in recent years, delivering a steady stream of breakthroughs.
At a meeting in Beijing that brought together the national science and technology award conference, the general assemblies of the members of the Chinese Academy of Sciences (CAS) and the Chinese Academy of Engineering (CAE), and the 11th national congress of the China Association for Science and Technology in July, Chinese President Xi Jinping, also general secretary of the Communist Party of China (CPC) Central Committee and chairman of the Central Military Commission, stressed that the 15th Five-Year Plan period (2026-2030) is a critical phase for tackling tough challenges in building up the country's strength in science and technology.
"We must seize the historic opportunity, rise to the challenges of the times, accelerate efforts to achieve high-level self-reliance and strength in science and technology, and make steady progress toward the 2035 goal of becoming a leading country in science and technology," he said.
In the article "Strive for Greater Strength and Self-Reliance in Science and Technology" included in the fourth volume of Xi Jinping: The Governance of China, Xi pointed out, "Through years of endeavor, our country's overall strength in science and technology has improved substantially. We therefore have a solid foundation, and are fully confident in our ability to seize the opportunities offered by the new revolution in science, technology and industry to achieve greater results." The article also mentioned that "We should participate to the full in global science and technology governance, contribute Chinese wisdom, and shape a philosophy of technology for good purposes, so that science and technology better serve human wellbeing, and enable China's science and technology industry to contribute more to building a global community of shared future."
In the 27th installment of the special series "Decoding the Book Xi Jinping: The Governance of China," the Global Times, along with the People's Daily Overseas Edition, continues to invite Chinese and foreign scholars, translators of Xi's works, practitioners with firsthand experience, and international readers to focus on the theme of striving for greater strength and self-reliance in science and technology. Together, they share views on China's tech growth, governance principles, and global cooperation in science and technology.
In the 27th article of the "Readers' Reflections" column, Global Times (GT) talked to Francesco Faiola (Faiola), an Italian professor at the Research Center for Eco-Environmental Sciences with Chinese Academy of Sciences and recipient of the Chinese Government Friendship Award.
GT: Chinese President Xi Jinping delivered a keynote speech at the opening ceremony of the 2026 World AI Conference and High-Level Meeting on Global AI Governance on July 17. He said that as a responsible major country, China is always committed to providing international public goods relating to AI. In the article "Boost Basic Research and Achieve Greater Strength and Self-Reliance in Science and Technology" included in the fifth volume of Xi Jinping: The Governance of China, Xi said, "It is important that we adopt a more open-minded approach to international exchange and cooperation in research to create an open, globally competitive innovation ecosystem." Amid the current complex global landscape, China remains firmly committed to keeping its doors open to international scientific collaboration. In your view, where does China's confidence in this commitment come from?
Faiola: I think China's confidence in staying open comes from a deep shift in mindset. The Chinese people, especially the scientific community, now really believe they are not inferior to Westerners. For a long time, even many people here thought top science had to happen at a Western address. When I first came, I believed that too. The US and Europe seemed like the only serious places for breakthroughs. Now that idea is changing, and moving toward China, because the evidence of leadership is everywhere: stem cell standards, artificial intelligence (AI) efficiency, green manufacturing. It's undeniable. China knows it has everything needed to attract and keep international talent. It's no longer a developing country playing catch up. It's a place that's helping set the global agenda.
That self-assurance is the bedrock of openness. When you truly believe you have unique strengths, like a huge organoid screening capability or a community of scientists who think deeply, you don't fear open doors. You want colleagues from everywhere to walk through so the science moves faster. My own lab works with European centers as equals. That parity is real. But we also know not everyone abroad gets this transformation yet. A lot of people still imagine Chinese science as just following others. That's exactly why China is pushing openness harder: funding lines for foreign principal investigators, open innovation hubs in Beijing, active participation in setting international standards. These aren't defensive moves. They're proof of a country confident enough to invite the world in, show what it can do, and create knowledge together.
On a deeper level, the confidence is also just rational. The big challenges - environmental problem, pandemic preparedness and precision medicine - are global. If China closed itself off, the data and validation its own regulators need would get weaker. So, the open door isn't charity. It's the smart recognition that scientific greatness today gets multiplied when you share it.
GT: In the article "Strive for Greater Strength and Self-Reliance in Science and Technology" included in the fourth volume of Xi Jinping: The Governance of China, Xi pointed out, "Through years of endeavor, our country's overall strength in science and technology has improved substantially. We therefore have a solid foundation, and are fully confident in our ability to seize the opportunities offered by the new revolution in science, technology and industry to achieve greater results." From the domestically built large passenger jet to DeepSeek, Unitree Robotics, and Moonshot AI's Kimi K3, China's innovation achievements have been making headlines. How do you assess China's achievements in sci-tech innovation in recent years? 

Faiola: I measure China's innovation success in a very personal way. My parents are old, living in a small Italian town. They don't speak English. They don't understand molecular biology. They can't read a scientific paper. But over the past few years, they've called me up more than once, excited, telling me about a Chinese airplane or a humanoid robot or some AI breakthrough they saw on Italy's main TV news or in the newspapers.
That tells me something deep. These aren't niche stories for tech insiders. They are real global news, landing in the living rooms of retirees who barely use a smartphone. I'm not bragging to them about China's progress. They are telling me. When achievements get that far into everyday European life, it's a sign China is doing something the world finds worth talking about.
The C919 plane, DeepSeek, Unitree Robotics - these aren't one-off hits. They prove China can now conceive, design, and build complex, original systems on its own, whether it's an airliner, an advanced AI model, or an agile robot. That takes deep integration across different fields, aerodynamics, materials, real time control, and AI.
DeepSeek's whole philosophy, doing more with less, is exactly how we created affordable organoid screening tools. And the quiet shift from rule taker to rule maker in chemical safety standards, that mirrors the C919's ambition to compete globally on certification. All this shows China is blending manufacturing, digital smarts, and biology into one force. But my real proof is what I hear from my students. They don't just apply discoveries from papers anymore. They question the assumptions behind them. That intellectual confidence, and the fact it echoes all the way back to a small Italian town, is why I'm sure China will fully seize this moment.
GT: President Xi said that AI development should not be a solo performance by a single country, but a symphony of international cooperation. Having conducted research in China for many years, you are not only a witness but also a driving force behind China-Europe scientific exchanges. Looking ahead, how can both sides deepen complementary advantages and achieve mutually beneficial empowerment to jointly address global challenges such as climate change and health? Over the next five years, which specific sectors should China-Europe science and technology collaboration prioritize?
Faiola: I grew up in Italy and now I lead a lab in Beijing while working with colleagues all over Europe. So, China-Europe teamwork isn't some abstract idea to me. It's how my week actually looks. The old cliché, European basic research plus Chinese scale and speed, is already outdated. Both sides now generate novel insights. The relationship has to become genuine two-way cocreation.
I see three practical things that would deepen it. First, we need truly joint funding: one grant, one integrated team, maybe a Max Planck group and a Chinese Academy of Sciences group, with a single scientific plan and students who genuinely rotate between the labs. Second, we need to harmonize regulations and ethics for organoid technologies. Europe has advanced thinking on governance. China has manufacturing scale and the drive to get things into clinics. If we co-develop shared quality and ethical standards for organoid testing, we basically set the global benchmark. A liver organoid made in Europe could then be used directly for a toxicity screen in China without repeating all the validation. Third, we need deliberate talent circulation, not a zero-sum competition. Joint PhD programs where a student naturally moves between continents.
The science doesn't care about borders. If we build the shared tools now, China and Europe can show the world a model where shared knowledge beats division.
GT: Recently, some Western media and think tanks are peddling "China Shock 2.0," claiming that China is achieving fast development in high-tech sectors such as renewable energy and AI and relies on foreign markets to absorb its overcapacity, thus reducing the market share of developed countries and sending more serious shock waves to the global economy compared with the era of traditional manufacture industry. What's your comment on this? In your view, does this represent a new pretext for Western protectionism, or is it an unavoidable external misunderstanding amid China's industrial upgrading?

Faiola: I'm a bench scientist, not a political analyst. I stick to what I can see and measure in my own work. So, I'm not going to guess what the media or think tanks intend. I'll just tell you what the facts show me, and from my lab, the "China Shock 2.0" story just doesn't match up.
In my field of stem cell toxicology, the world is desperate for human relevant safety tests to replace animal testing. Tens of thousands of chemicals still don't have proper hazard data. When Chinese labs turn out high throughput organoid platforms at a fraction of the old cost, that's not dumping "overcapacity" into a full market. It's filling a huge shortage. A researcher in Brazil or Kenya suddenly gets access to a toxicity screen that never existed for them before. Demand is skyrocketing, not standing still. Meeting that demand is a service, not a shock.
With AI, it's the same pattern. DeepSeek's efficiency makes it cheaper and easier for biomedical researchers around the world to use these tools. It's helping create new markets, not stealing a fixed pie. Sure, any big shift causes some dislocation. The answer to that is domestic support and transition policies, not blocking technologies that help solve planetary problems.
。北京时间1月9日报道,美国股市周二收高,连续第三天上涨。贸易谈判的乐观预期提振了美国股市。投资者正在等待特朗普周二晚间东部时间的讲话。截至收盘时,道琼斯指数上涨256.10点,至23787.45点,涨幅1.09%;标准普尔500指数上涨24.72点,至2574.41点,涨幅0.97%;指数上涨73.53点,至6897.00点,涨幅1.08%。美国主要的科技巨头正在蓬勃发展。自12月24日以来,发钢股票大幅反弹。在此期间,Facebook股价上涨12.2%,亚马逊上涨24.7%,Alphabet股价上涨35%。周二收盘时,Facebook上涨3.25%,苹果上涨1.91%,亚马逊上涨1.66%,Netflix上涨1.56%,谷歌上涨0.74%,微软上涨0.73%。中国主要科技股上涨3.40%,阿里巴巴上涨2.58%,腾讯音乐上涨1.48%,网易上涨1.22%,京东上涨0.83%,百度上涨0.49%。艾奇艺下跌1.39%,投资银行下调微博股票评级,跌幅5.67%。

B | 中国概念股票图二:其他中泉股票大部分上涨,包括111只集团(上涨36.43%)、盛世乐居(上涨18.34%)、云密科技(上涨16.20%)、信贷(上涨12.96%)、小赢科技(上涨12.64%)、有趣的头条新闻(上涨7.97%)、钛(上涨6.93%)、500彩票网络(上涨6.59%)、世纪互联(上涨6.09%)、牛头犬鳍ance(上涨6.64%)。上涨5.75%,Oppen浏览器(上涨4.33%),Temple Treasury(上涨3.94%),Dali(上涨3.57%),Everyone(上涨3.47%),流利的口语(上涨3.20%),无忧英语(上涨2.89%),World Data(上涨2.67%),Simple Spectrum Technology(上涨2.67%),Sogou(上涨2.44%),Food Club(上涨2.37%),Good Future(上涨2.23%),Sohu(上涨2.01%),Blue Flood(上涨1.77%)。

C | 宝尊电子商务(上涨1.59%)、莫默(上涨1.45%)、朴信教育(上涨1.40%)、兰亭拉力赛(上涨1.27%)、乐信(上涨1.18%)、投宝(上涨1.06%)、携程(上涨1.03%)、中国移动(上涨0.84%)、Maverick Electric(上涨0.72%)、中国电信(上涨0.55%)、欢乐时代(上涨0.23%)、极光数据(上涨0.22%)和和利时自动化。化学品(上涨0.22%)、新东方(上涨0.20%)和未来担忧(上涨0.09%)。下跌的公司包括:金融板块(下跌5.82%)、国双(下跌5.63%)、聚美商品(下跌5.42%)、红、黄、蓝教育(下跌4.49%)、360金融(下跌4.42%)、百时物流(下跌4.26%)、华美科技(下跌4.19%)、华智(下跌4.02%)、友信(下跌3.89%)、第九大城市(下跌3.74%)、精英教育(下跌3.47%)、易卡R(下降3.37%),有趣。商铺(下跌3.14%)、贷款(下跌3.08%)、蘑菇街(下跌3.00%)、新浪(下跌3.00%)、博世乐教育(下跌2.21%)、康迪汽车工业(下跌2.21%)、房地产(下跌2.08%)、胡雅(下跌1.95%)、可出租贷款(下跌1.93%)、58桐城(下跌1.89%)、一辆高出租汽车(下跌1.75%)、头牛(下跌1.73%)、中线(下跌1.69%)、郑宝远程保护教育(下降1.59%)、维来(下降1.54%)、汽车之家(下降1.34%)、猎豹移动(下降1.29%)、畅游(下降1.26%)、新瑞福(下降0.90%)、台积电(下降0.82%)、乐居(下降0.73%)、迅雷(下降0.56%)、中通快递(下降0.54%)、丹尼尔科技(下降0.46%)和中新国际(下降0.24%)。摩根士丹利将其微博评级下调至研究报告中的“观望”,将目标价降至66美元。摩根士丹利(Morgan Stanley)分析师陈冠希(Grace Chen)将微博评级从“超重”下调为“观望”,因为他们认为,竞争加剧将限制其扩张潜力。尽管微博的内容生态系统很难被其他应用程序取代,但预计2019年销售和营销投资的增加将导致利润率下降,该团队表示,将把微博股票的目标价格从72美元降至66美元。同时,微博管理员账号下发了关于调整微博转发评论数据显示方式的通知。陈伟博为了构建健康的微博内容生态和关系生态,鼓励健康的互动,微博站近期将调整微博转发和点评显示方式:微博转发和点评显示上限为100万,即当实际应用中l转发评论数量超过100万条,相应转发评论数量为100万条。阿里巴巴集团以9000万欧元(1.03亿美元)的价格收购了位于柏林的数据处理公司Data Artisans。此外,1月8日,蚂蚁金富集团执行副总裁、总经理祖国在“2019年基金业金融科技峰会”上介绍。

D | 截至2018年底,蚂蚁黄金财富集团交易用户总数超过6亿,基金交易用户总数超过6000万。

E | 此外,祖国还表示,2018年,蚂蚁财富用户规模较2017年增长110%,用户数量增长210%。2013年6月,姚明的诞生标志着互联网巨头正式进入基金销售市场。在过去的五年里,姚明取得了巨大的成功,蚂蚁财富和蚂蚁基金的销售收入规模超过了老牌网络基金销售巨头天田基金。美国/外国科技股大部分上涨,包括Square(上涨3.95%)、Quick Exchange Gold(上涨3.91%)、iRobot(上涨3.19%)、Snap(上涨3.06%)、Video暴雪(上涨3.03%)、Motorola System(上涨2.94%)、Sea(上涨2.93%)、Verizon(上涨2.93%)、Salesforce(上涨2.46%)、Yahoo(上涨2.35%)、GoPro(上涨2.16%)、Nokia。(增长2.16%),PayPal(上升1.97%),Yelp(上升1.95%),爱立信(上升1.82%),易趣网(上升1.80%),艺术和电力(上升1.63%),Grubhub(上升1.55%),Adobe(Up 1.49%),Twitter(上1.47%),IBM(UP 1.42%),Dropbox(UP 1.42%),Pandora Media(UP),赛门铁克(UP),HP(UP)戴尔(UP),线(UP),柯达(UP),借出ING Club(上涨1.04%)、Corning(上涨0.96%)、Oracle(上涨0.91%)、AMD(上涨0.88%)、Groupon(上涨0.86%)、Sonos(上涨0.84%)、Cisco(上涨0.81%)、3D Systems(上涨0.65%)、Intel(上涨0.63%)、Enterop(上涨0.57%)、Sony(上涨0.34%)、Stella(上涨0.12%)。下跌的公司包括应用材料(下跌4.05%)、韩国流媒体(下跌3.08%)、英伟达(下跌2.49%)、惠普(下跌1.92%)、Spotify(下跌1.58%)、预订控股(下跌1.45%)、西部数据(下跌0.96%)、高通(下跌0.87%)、博通(下跌0.80%)、Mercury Technologies(下跌0.76%)、黑莓(下跌0.27%)、Box(下跌0.27%)。

F | 0.21%),希捷。科技股(下跌0.05%)。

G | 特斯拉新任独立董事、甲骨文创始人拉里·埃里森周二在美国证券交易委员会(U.S.Securities and Exchange Commission)的一份文件中披露,他持有特斯拉300万股股票,价值约10亿美元。截至发行之日,特斯拉的股票在上市前交易中上涨1.87%,至341.2美元。Ellison是特斯拉首席执行官Elon Musk的密友,他于12月加入特斯拉董事会,向SEC证明特斯拉董事会有效地监管了公司。埃利森现年74岁,净资产514亿美元,是世界上第九富有的人。他通过劳伦斯J埃利森可撤销信托间接持有300万特斯拉股份。埃利森此前曾表示,特斯拉是他第二大投资,但没有透露细节。英特尔在拉斯维加斯国际消费电子展(CES)上表示,将与Facebook合作,在今年下半年完成一个新的人工智能芯片。芯片的发展表明,英特尔正在努力保持在快速增长的人工智能计算市场的主导地位,但该芯片也将面临来自英维达和亚马逊的AWS(亚马逊网络服务)部门类似芯片的竞争。新的芯片将帮助研究人员使用他们所称的推理预测,它使用人工智能算法并将其投入使用,例如自动在照片中标记朋友。

H | 英特尔处理器目前主导机器学习推理市场,晨星分析师认为,到2021年,机器学习推理市场将达到118亿美元。九月份,英维达推出了自己的推理芯片,与英特尔竞争。

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Published on:08:33:52


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