今天，重磅消息来了：美国的AI曼哈顿计划，正式启动！ 就在刚刚，美国能源部白宫签署了历史性的合作文件，这个被命名为「创世纪任务」的国家计划，终于将最顶尖的AI技术与国家实验室的科研能力结合 了起来。 参与方包括微软、谷歌、英伟达、OpenAI、DeepMind、Anthropic等几乎所有的美国科技巨头！ 这个「创世纪」计划，可以称为美国的AI曼哈顿计划，史上首次，规模宏大，影响深远。 这，是一个奇点时刻。 2025年11月，美国政府正式启动这个国家级战略计划，由总统发布行政命令。目标是—— 打造全国首个AI驱动的科研平台，用人工智能与超级计算能力加速科学发现。 从此，美国的AI模型和计算平台，将首次全面应用于可控核聚变、能源材料发现、气候模拟、量子计算算法等重大科学研究，这标志着美国在科技领域 的国家级战略调整——从各自为战，转向系统性的集体攻关。 消息一出，网友们兴奋表示：「这是一次高水平合作」。 「如今的AI，已经成为国家级的战略资产」。 一张白宫签署的协议，集结了从微软、谷歌到OpenAI、DeepMind等24家顶尖科技企业，一场重塑美国科研未来的AI「超级合众国」计划正在拉开序幕。 OpenAI谷 ...

Core Insights - The first AI-driven scientific symposium, AIAS 2025, was held in San Francisco, featuring Nobel laureates and leaders from top institutions discussing the role of AI in scientific discovery [2][3] - The Tianqiao Brain Science Institute aims to improve human experience by understanding brain perception and interaction with the world, having built a global ecosystem over nine years [2][5][6] Group 1: Symposium Overview - The symposium gathered top scholars and industry leaders to explore how AI can accelerate scientific discoveries [2][3] - The event showcased the latest achievements of the Tianqiao Brain Science Institute in promoting AI-focused projects and scientific communication [3][7] Group 2: Awards and Recognition - The Tianqiao Brain Science Institute partnered with the journal Science to establish the AI-driven Science Award, aimed at amplifying the voices of early-career scientists [3][6] - Three young scientists received the award for their innovative use of AI in biochemistry, neuroscience, and ocean science, sharing a prize of $50,000 [3] Group 3: Institutional Mission and Projects - The Tianqiao Brain Science Institute was founded in 2016 with a mission to enhance human experience through brain research [5][6] - The institute has developed various AI-focused initiatives, including partnerships with leading universities and training programs for young scientists [6][7] Group 4: Public Engagement and Communication - The institute emphasizes the importance of clear scientific communication and public trust in science, producing engaging content that has reached over 240 million views globally [7]

Core Insights - The integration of AI in astronomy is revolutionizing data processing and research methodologies, enhancing efficiency and enabling new discoveries [1][3][4] - Despite its advantages in data handling, AI lacks the ability for creative thinking and theoretical innovation, which remain essential for scientific breakthroughs [8][9][10] - The role of AI in astronomy is evolving, prompting a re-evaluation of educational approaches to foster curiosity and creativity among young researchers [13][16][18] Group 1: AI Capabilities in Astronomy - AI significantly improves data processing efficiency, taking over repetitive tasks and allowing researchers to focus on more complex analyses [3][4] - AI's pattern recognition capabilities enable the extraction of meaningful signals from vast datasets, enhancing the sensitivity of observational instruments [4][5] - The deployment of AI models in satellites allows for real-time data processing, facilitating immediate responses to transient astronomical events [5][6] Group 2: Limitations of AI in Scientific Discovery - AI currently lacks the ability to generate original questions or exhibit curiosity, which are fundamental to human-driven scientific inquiry [9][10] - The "black box" nature of AI poses challenges in understanding the underlying physical mechanisms of astronomical phenomena, limiting its utility in foundational science [10][11] - AI excels in optimizing existing paradigms but cannot independently identify new research directions or significant breakthroughs [9][10] Group 3: Impact on Young Researchers - The use of AI tools can empower young scientists to tackle complex problems independently, potentially accelerating their development into leading researchers [14][15] - However, reliance on AI may lead to a decline in critical thinking and scientific intuition among students, as they may overlook the underlying physics of their data [16][18] - Future astronomers will need to integrate AI literacy into their skill sets, balancing technical proficiency with a deep understanding of scientific principles [15][16] Group 4: Future Directions in Astronomy - AI is reshaping the design philosophy of large scientific instruments, enabling cost-effective solutions through computational optics [11][12] - The collaboration between AI and human researchers is essential for navigating theoretical frameworks and exploring new scientific frontiers [18] - The ongoing evolution of AI in astronomy necessitates a thoughtful approach to education, ensuring that curiosity and creativity are preserved alongside technological advancements [18]