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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

金陵十三钗

一 |     

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.
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有最新报告指出,如今大学正面临一场严重的作弊危机:越来越多学生用生成式 AI 作弊,没人盯着的线上考试,直接被绕得干干净净,根本起不到考核作用。相关机构也提醒高校:这种无人监考的考试,在 AI 面前基本不堪一击,学生很容易就能钻空子。像 ChatGPT 这类 AI 工具,输几句话就能写出完整论文,现在学生用得特别普遍,已经给整个大学教育出了个大难题。这份报告来自英国智库“政策交流”,他们直接呼吁英国大学:赶紧叫停没人监考的居家远程考试,AI 作弊的风险已经越来越高了。

图源:豆包AI生成

图源:豆包AI生成英国前商务大臣文斯・凯布尔爵士给报告写了序言,他说大学现在必须抓紧时间、大刀阔斧地改革考核体系,才能应对 AI 带来的挑战。

二 | 脆弱的考核方式文斯爵士警告,用 AI 作弊正在慢慢耗干大学学位的含金量,而且对老老实实守规矩的学生来说,实在太不公平,吃亏吃大了。报告作者是斯旺西大学医学院的神经科学家菲尔・牛顿教授。他调研后发现,英国的大学根本没跟上 AI 时代,考核方式一点都没更新 —— 还在大量用容易钻空子的模式,比如带回家写的课程论文、无人监考的远程考试,反而不怎么推行有人监督的线下考核。2024 年,牛顿教授向全英国所有大学提交了信息公开申请,最后统计出:78% 的大学都在给学生安排线上远程考试,但只有 10% 的学校配了线上监考。

三 | 所谓线上监考,一般就是考试时要求学生开摄像头、录屏幕,盯着有没有人作弊。

图源:豆包AI生成

图源:豆包AI生成当时的数据还显示,有 70% 的大学打算接着沿用线上考核。还有不少大学官网直接明说自己有线上考试,但半句不提监考措施。而现在已经有好多研究证实,大学生用 AI 应付作业和考试,早就成了普遍现象。英国高等教育政策研究所今年 3 月的调查显示,94% 的学生都承认,自己完成课程考核的时候用过生成式 AI。牛顿教授在报告里说,如果大学还想在 AI 时代保住办学自主权和存在价值,就得从根上重新设计考核方式。他建议,无人监考的线上考试必须立刻叫停,大学得优先用那些经得住考验、不怕 AI 钻空子的考核方法。老师也得好好培训他写道:“不管是线下还是线上、笔试还是其他形式,考核都得有人当面监督,这才该是常态。

四 | ”除此之外,他还提了两个方向:一是得好好培训大学老师,让他们懂怎么设计靠谱、有效的考核;二是要给用人单位更详细透明的信息,说明毕业生当年是通过什么考核方式拿的学位。

五 | 作为自由民主党前党魁,文斯爵士评价这份报告 “质量很高,来得也正是时候”。他在序言里写:“现在太多大学的考核体系,AI 一用就直接绕过去了,这么下去学位越来越不值钱,大学的教育作用也会被慢慢架空。”

图源:豆包AI翻译

图源:豆包AI翻译“更关键的是,那些不肯用 AI 作弊、踏踏实实学习的学生,和愿意走捷径的人比起来,反而吃大亏。认真学习虽然难,但收获是实打实的,现在却因为作弊的人变多,变得没了优势。”“要想让公众还信得过学位的含金量,还认可高等教育的社会价值,高校就得赶紧大刀阔斧地改考核方式。除非远程考试能做到百分百安全,不然就该换回线下考试。”牛津大学奥里尔学院院长门多萨勋爵也支持这份报告,说它点出了 “威胁学位标准公正性的一大新问题”。他写道:“期末考核大量用无人监考的线上考试和居家论文,本质上就是在怂恿学生用 AI 作弊。对那些本本分分、守规矩的师生来说,这既不公平,也让人寒心。”针对这份报告,代表英国 142 所高校的 “英国大学联盟” 发言人回应说:“学生、用人单位和公众能信得过大学颁发的学位,这一点至关重要。各大学都在积极和学生沟通,引导大家负责任地使用 AI;如果有人违反规则,学校也有完善的政策来处理。”

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Published on:07:01:25


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