来源：人民日报海外版 这项化学生物学研究的重大成果，既揭示了生物进化的诸多奥秘，更促进了人类疾病的诊疗，真切影响 着人类命运。 "作为一名科学家，你总是被好奇心驱动。但在内心深处，你也会希望有一天，自己能参与到真正改变 他人命运的事情中去。"尚卡尔如是说。 一切始于萦绕在他心中的"问题"，"一个关乎人类福祉的问题""一个至少需要花费十年的重要问题"。对 于尚卡尔而言，这个问题就是如何推进基因测序技术革命。 1997年8月的一个夜晚，尚卡尔邀请几位同事到常去的潘顿酒吧，"喝酒开脑洞"，那成了NGS诞生的"起 点"。随后不到10年，NGS就从一个雄心勃勃的愿景真正落地为大规模、商业化的系统。 上海，2025世界顶尖科学家论坛。 花白的寸头，厚实的眼镜片，磨得发亮的绿色双肩包，裤子的膝盖处是一圈一圈的褶皱……很酷甚或有 些高冷的"背包客"——这是化学家尚卡尔·巴拉苏布拉马尼安给人的第一印象。 众多学生评价他时，使用最多的表达是"温暖""有趣""充满好奇心"。 访谈中，他常常单手支着下巴，礼貌地看着记者的眼睛；缓慢坚定，娓娓道来，丰富的手势，配合腼腆 的微笑。 好的研究问题首先出于热爱 人类首次读完第一个人类基因组耗 ...

你最后一次感到无聊是什么时候？在这个信息爆炸的时代，我们似乎已经忘记了无聊的感觉。但神经科学研究发现，无聊绝非坏事——它是思 维漫游的入口，是创造力的孵化器。当你的大脑进入「默认模式网络」，看似在走神的你，实际上正在建立新的认知连接，为突破性想法做准 备。托尔金在批改无聊的试卷时写下了《霍比特人》的第一句话，乔布斯说「无所事事也可以很棒」。下面，就让我们重新认识一下无聊的价 值。 「每种情绪都有其目的——都有进化优势，」心理学家桑迪·曼恩（Sandi Mann）说，她是《无聊的价值》一书的作者。「我想知道为什么我们有无聊这 种情绪，它看起来如此消极、毫无意义。」 无聊的进化意义 曼恩在 20 世纪 90 年代研究职场情绪时发现，除了愤怒，第二个常被压抑的情绪就是无聊。「它的名声太差了，」她说。「几乎所有事情都被归咎于无 聊。」 深入研究无聊这个话题后，曼恩发现它其实非常有趣。无聊绝非毫无意义。南安普顿大学的韦恩安德·范蒂尔堡（Wijnand van Tilburg）这样解释无聊这种 不安、糟糕感觉的重要进化功能：「无聊让人渴望参与比当前更有意义的活动。」 「想象一个我们不会感到无聊的世界，」曼恩说。「我们会对 ...

【故事】"银杏伞"、星星堆、爱心、笑脸……将散落满地的银杏叶精心拼凑成各式创意图案，前不久， 大连外国语大学的后勤老师肖丽娜和3名保洁阿姨的"艺术创作"引起广泛关注。师生们"每天刷新一个阿 姨手搓银杏叶周边"，纷纷驻足打卡；网友感慨这是"浪漫天花板"，称她们为"大地艺术家"，纷纷点赞 转发。一片片枝头飘落的金黄叶片，以另一种形态延续着生命之美。 崔 妍 【人物】"大地艺术家" 多些"咂摸"，无用落叶变得有用。耐心布置、反复调整，让萧萧落叶缓于归入尘土，而是"逆龄生长"、 再获新生。改变源自创造力的释放。不止落叶，河道淤泥化为种植土壤，植被过滤径流，湖南常德 的"臭水沟"变"金腰带"；储备地块变口袋公园、既有设施向驿站拓展，安徽马鞍山的城市"边角料"成为 休闲"锻炼场"……通过创造力这把神奇的钥匙，我们得以不断解锁生活的可能。用双眼去观察、用头脑 去思考、用双手去改造，凭借独有的创造性思维、创造性行为，不断挖掘可能、丰富功能，实现"无中 生有""有中生新"，我们也能从创新创造中感悟自身的价值与能量。 创造，还需咂摸"无为"与"有为"之界。留住落叶而非清扫，这是以"无为"循自然本美；打造场景而不扰 通行，这是以" ...

Group 1: Innovation - Innovation does not arise from fear [5] - A safe environment that allows for mistakes is essential for true innovation, rather than a pressure-filled atmosphere of fear [5] - Innovators often possess the traits of persistence in trial and error, rather than a focus on short-term perfection [5] Group 2: Last Place Elimination - Last place elimination can train employees to adapt to rules but does not cultivate innovative talent for the future [7] - In the AI era, the only competitive edge for humans is creativity, not the ability to avoid mistakes [7] - The driving force behind progress in human civilization is the spirit of exploration through trial and error [7] Group 3: Qualities of Future Individuals - Innovation is the primary quality for future individuals, which AI cannot replace [9] - Future enterprises need individuals who are willing to take risks and are not afraid of failure [9] - Resilience and the ability to handle pressure are essential, as innovation will inevitably involve failures [9] Group 4: How to Embrace Trial and Error - Establish a framework for trial and error to replace the obsession with zero risk [11] - Allow for slower processes, moving away from the mindset that speed equates to efficiency [11] - Break down tasks into smaller steps within controllable boundaries to minimize risks and costs associated with trial and error [11]

Core Insights - Generative AI is reshaping various industries and fundamentally altering human writing, cognition, and thinking processes, with initial optimism suggesting it could lead to "work equity" [4] - However, recent studies indicate that generative AI is reinforcing a "seniority bias" in the labor market, exacerbating inequality rather than alleviating it [7][9] Group 1: Impact on Labor Market - A study analyzing employment data from 2015 to 2025 revealed that while entry-level and senior positions grew at similar rates until 2022, a divergence began in 2023, with entry-level positions declining by 7.7% in AI-adopting companies, while senior roles remained stable or slightly increased [9] - The CEO of Ctrip commented that AI is likely to replace entry-level intellectual labor, worsening challenges faced by younger individuals in education, marriage, and early career stages [9] Group 2: Effects on Knowledge Production - A large-scale natural experiment analyzed over 419,000 academic papers across 21 disciplines before and after the release of ChatGPT-3.5, revealing a dual effect: while knowledge production accelerated, content homogeneity also increased significantly [10][15][16] - Post-release, the average annual publication per scholar increased by 0.9 papers, and the quality of journals improved by 6%, particularly in technical and physical sciences [21] Group 3: Long-term Cognitive Effects - A follow-up longitudinal study indicated that while AI usage temporarily boosts creativity, this effect diminishes once AI assistance is removed, suggesting that the enhancement is not sustainable [42] - The study found that participants who relied on AI exhibited a significant increase in content similarity and language style homogeneity, indicating a long-lasting "creative scar" [39][42] Group 4: Recommendations for Individuals - To mitigate the cognitive impact of AI, individuals are encouraged to use AI as a "thought partner," engage in deliberate cognitive friction by questioning AI outputs, and establish "no-AI time" to maintain independent thinking skills [50]

Group 1 - The article discusses the potential future of artificial intelligence (AI) in writing, envisioning a world where AI can produce high-quality, engaging, and accurate text without human intervention [1][7][8] - It raises concerns about the implications of AI on human creativity and writing styles, suggesting that while AI can assist, it may also dilute individual writing voices [9][11][12] - The article highlights the ongoing debate about AI's role in creative processes, questioning whether AI-generated works can be considered truly creative [7][8][9] Group 2 - The text emphasizes the importance of maintaining a balance between human and AI contributions in writing, advocating for a thoughtful approach to using AI tools [5][6][30] - It discusses the educational challenges posed by AI, particularly in terms of academic integrity and the potential for cheating among students [15][16][26] - The article mentions the need for guidelines and regulations regarding the use of AI in writing, suggesting that transparency and acknowledgment of AI contributions could be beneficial [36][37][38] Group 3 - The article explores the copyright implications of AI-generated content, questioning who owns the rights to works created by AI [22][23][24] - It discusses the potential impact of AI on various professions, particularly in writing, journalism, law, and translation, suggesting that while some jobs may be threatened, others may evolve [26][27][28] - The text concludes with a call for writers to remain vigilant and engaged in their craft, ensuring that their unique voices are not overshadowed by AI tools [39][40]

Core Insights - Generative AI is reshaping various industries and fundamentally altering human writing, cognition, and thinking processes, with initial optimism suggesting it could lead to "work equity" [1] - However, recent studies indicate that generative AI is reinforcing a "seniority bias" in the labor market, exacerbating inequality rather than alleviating it [4][6] Group 1: Impact on Labor Market - A study analyzing employment data from 2015 to 2025 reveals that while both junior and senior positions saw similar growth until 2022, a divergence began in 2023, with junior roles declining by 7.7% in AI-adopting companies [6] - The CEO of Ctrip noted that AI is likely to replace entry-level intellectual labor, worsening challenges faced by younger individuals in education, marriage, and early career stages [6] Group 2: Academic Productivity and Creativity - A large-scale natural experiment involving over 419,000 academic papers across 21 disciplines showed that after the release of ChatGPT-3.5, both creativity and homogeneity in academic output increased significantly [10][12] - The study found that the average number of papers published per scholar increased by 0.9, and the quality of journals improved by 6%, but the similarity in language style rose by 79% annually, indicating a trade-off between efficiency and diversity [15][17] Group 3: Long-term Effects on Individual Creativity - A follow-up longitudinal study tracked 61 university students to assess the long-term effects of AI on individual creativity, revealing that while AI usage initially boosted creativity, this advantage dissipated once AI was removed [30][33] - The study concluded that reliance on AI may lead to a "creativity illusion," where the perceived enhancement in creative output does not translate into sustainable cognitive skills, leaving a lasting impact on thought patterns [30][34] Group 4: Recommendations for Mitigating Negative Effects - To counteract the cognitive anchoring effect of AI, individuals are encouraged to engage in critical thinking and challenge AI-generated outputs [41] - Establishing "no AI time" for independent thought and creativity is recommended to prevent cognitive decline and maintain essential reasoning abilities [41]

Inspiration & Creativity - The talk explores the journey of Liang Yaxin (Cat Lost Module) from being labeled as "not good enough" due to ADHD to becoming an independent artist [1] - It emphasizes embracing imperfections and releasing unique creativity [1] Personal Growth & Self-Acceptance - The narrative highlights a journey of self-acceptance and overcoming challenges associated with ADHD [1] Event Information - The talk was presented at a TEDx event, independently organized by a local community [1]

Core Insights - The article emphasizes the potential for success in unexpected fields, encouraging belief in children's abilities and the importance of adapting to new ideas and methods [1][4][18] - It highlights the transformative power of the current era, suggesting that it brings forth surprises and opportunities for growth [2][4] Group 1: Talent Development - The emergence of world-class talents like Zheng Qinwen signifies a shift in the confidence and individuality of Chinese athletes, moving away from traditional hard work to a more relaxed and self-assured approach [4][7] - The author predicts that in the next 10 to 30 years, thousands of Chinese individuals will achieve world-class status across various fields, driven by the current generation's unique experiences and opportunities [7][10] Group 2: Educational Insights - The article discusses the profound impact of socio-economic stability on talent development, noting that the current generation is less burdened by survival concerns, allowing them to pursue interests and ideals [8][10] - It points out that today's youth have access to vast amounts of information, enabling them to challenge traditional views and construct their own understanding of the world [10][11] Group 3: Parental and Societal Roles - The author stresses the need for parents and educators to recognize the evolving landscape of education and the capabilities of children, advocating for a shift in mindset rather than merely demanding more from students [18][19] - The article suggests that the current educational system is lagging behind the needs of children, necessitating a reevaluation of teaching methods and parental expectations [18][19]

Group 1 - AI is reshaping the world and human self-perception, but humans remain irreplaceable due to unique capabilities [1][2] - Humans possess three core abilities that AI cannot replicate: accountability, creativity and adventurous spirit, and self-drive [3][4] - Continuous self-drive, learning, and dialectical decision-making are fundamental drivers of human societal progress [4] Group 2 - The rise of AI has caused anxiety among people, with some rejecting it and others feeling overwhelmed [5] - Even if AI technology stagnates, existing models can still trigger profound societal changes, particularly with the emergence of AGI and ASI [5][6] - Humans must remain the decision-makers, especially in specific contexts where AI lacks understanding [6][9] Group 3 - Humans' accountability stems from their unique existence and ability to provide credible experiences, which AI cannot do [9][10] - Decision-making by humans is a concentrated act of judgment and responsibility, which AI cannot replicate [10][11] - The essence of human decision-making is rooted in personal experience and the ability to be held accountable [10][12] Group 4 - Creativity and the ability to take risks are uniquely human traits that AI cannot fully emulate [11][12] - AI can generate solutions based on existing information but lacks the ability to create entirely new concepts [12][13] - The ideal collaboration between humans and AI involves humans making final decisions based on AI-generated options [12][14] Group 5 - Continuous learning and self-driven exploration are essential for personal growth and adaptation in the AI era [28][30] - Reading is crucial for personal development, as it shapes neural connections and influences one's perspective [28][29] - The process of learning and searching for knowledge is scalable, leading to greater personal and professional growth [30][31] Group 6 - In the AI era, humans should embrace their role as decision-makers, particularly in micro-decisions that require personal accountability [23][24] - AI should be viewed as an enhancement to human capabilities rather than a competitor [25][26] - The future of work will involve leveraging AI to improve decision-making and creativity, allowing humans to focus on unique contributions [24][25]