留学6年底薪两千

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

A |     4月22日7时至9时，迎来本年度第二个龙年龙月龙日龙时。    

    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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B | 据介绍，今年共会出现3次龙年龙月龙日龙时，分别在4月10日、4月22日和5月4日的7时至9时，这是使用传统干支和生肖纪法来标记年、月、日、时形成的有趣现象。转发收藏，愿你好运连连，万事兴“龙”！　　中国科学院紫金山天文台科普主管王科超介绍，甲乙丙丁戊己庚辛壬癸为十天干，子丑寅卯辰巳午未申酉戌亥为十二地支，它们排列成60个干支组合：甲子、乙丑……癸亥，以此记录年序与日序，如此循环往复。

C | 　　我国农历至今仍沿用干支纪年、纪日，农历年按干支纪法和生肖纪法命名，比如今年为甲辰龙年；农历日按数序纪法和干支纪法命名。王科超说，现在的农历以朔望月作为划分月份的标准，用数字来定月序，但在2000多年前，古人已采用十二地支来标记月份，并以冬至节气所在的农历十一月为子月，十二月为丑月，正月为寅月……以此类推，并配合天干使用。

D | 按照这种干支纪法，今年的正月十五也可称为：甲辰年丙寅月戊午日。　　我国古代同样也用干支纪时，即将一昼夜分为十二时辰，以十二地支循环纪时。对应到一天的24小时，两个小时为一个时辰，子时为23时至1时，丑时是1时至3时……亥时对应21时至23时。　　“我国古人又以十二生肖对应各个地支，今年为甲辰龙年，所谓龙月、龙日、龙时即为辰月、辰日、辰时。”王科超说，2024甲辰龙年的龙月里有3个龙日，因此将出现3个“龙年龙月龙日龙时”，分别在4月10日、4月22日和5月4日的7时至9时。　　龙年龙月龙日龙时就是辰年辰月辰日辰时　　了解了干支纪年和天干地支的搭配方法，就可以推算出龙年龙月龙日龙时。排在第五位的龙和辰对应，每60年有5个龙年。　　龙月就是在中国传统历法中一年也分为12个月，但是这个月是以朔望月作为标准来划分的。在2000多年前，古人就确定以冬至节气所在的月为子月依次排序，至下一年冬至所在月再为子月，闰月不计。秦汉以来，中国传统的农历将寅月作为正月即一月。所以冬至所在的子月是农历的十一月，因此将月份地支与生肖相配的话，一年中农历三月为辰月就是龙月。

E | 　　龙日是怎么回事？中国古代排列日期除了用123这样的数字计日，也使用干支计日的办法，这样每60日就有5个辰日，也就是5个龙日。

F | 2024甲辰龙年的龙月里有3个龙日龙时，分别在4月10日、4月22日和5月4日的7时至9时。

G | 　　（图源网络 中国小康网综合人民日报、羊城晚报、央视新闻客户端）。

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