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豪掷 20 亿欧元,德国政府欲建造世界首座核聚变发电站
Xin Lang Cai Jing· 2025-10-02 22:43
IT之家 10 月 2 日消息,当地时间 10 月 1 日,德国政府在柏林的联邦内阁会议上通过了一项名为"德国迈向核聚变发电站"的行动方案,力图在德国建造世界 上第一座核聚变发电站。根据该行动方案,到 2029 年,德国将向该领域累计投入超 20 亿欧元(IT之家注:现汇率约合 167.22 亿元人民币),用于资助相 关研究,支持研究基础设施和技术示范装置建设。 行动计划指出,核聚变能源"有望提供具备基荷供电能力、清洁、安全且资源高效的电力",并可能成为"社会与经济发展的关键支柱"。该计划还补充称,制 氢等能源密集型工艺也可从核聚变发电厂中受益。 目前,核聚变技术仍处于实验阶段。即便许多支持者也认为,其商业化应用至少还需数十年时间。 不过,研究人员与投资者对核聚变技术的信心正不断增强,认为其终有一天能成为安全、气候友好且几乎取之不尽的能源。美国、中国、日本、英国以及欧 盟已投入数十亿欧元用于该技术的研发。此外,数十家由私人资本支持的初创企业也进入这一领域,为核聚变技术发展注入新动力。 德国政府表示,将为核聚变领域制定明确法规,为初创企业和行业提供规划保障。同时,政府还计划采取多 项举措,包括建立由科学界与产业 ...
人间一年AI一天,替代不可避免,萨顿、王兴兴等回答AI四大终极问题
3 6 Ke· 2025-09-11 12:21
Group 1 - The core theme of the articles revolves around the evolving relationship between AI and humanity, emphasizing the need for collaboration and the ethical implications of AI's integration into society [1][2][20] - Richard Sutton, a prominent figure in AI, argues that fears surrounding AI, such as job loss and existential threats, are often exaggerated and driven by vested interests [2][20] - The development of AI is seen as a pathway to human prosperity through decentralized collaboration, with a focus on the importance of cooperation in achieving meaningful advancements [2][18] Group 2 - Current AI capabilities are still in their infancy, with significant challenges remaining in making AI truly functional in practical applications [4][6] - The integration of AI with robotics is creating a new industry focused on embodied intelligence, which aims to enable robots to perform tasks autonomously [4][6] - The potential for AI to revolutionize industries is acknowledged, but experts caution that the technology is not yet ready for widespread deployment [4][6] Group 3 - The future of AI is closely tied to advancements in energy solutions, particularly nuclear fusion, which is viewed as a critical technology for sustainable development [13][15] - Investment in nuclear fusion has surged, with significant funding from major tech companies, indicating a growing consensus on its importance for future energy needs [13][15] - The challenges of achieving controlled nuclear fusion are acknowledged, with ongoing research focused on overcoming technical hurdles [13][15] Group 4 - The AI industry is transitioning from a focus on human data to an "experience era," where AI learns from direct interactions with the environment [17][20] - Sutton emphasizes the need for new data sources and learning methods to unlock AI's full potential, highlighting the importance of continual and meta-learning [17][20] - The concept of "intelligent agents" is emerging as a dominant application of AI, suggesting a shift towards an "agent economy" that could transform organizational structures [20] Group 5 - China's AI development strategy outlines clear goals for the integration of AI across various sectors by 2027, with a focus on widespread adoption and economic growth [21][20] - Shanghai is positioning itself as a hub for AI innovation, with significant financial support for companies in the AI space, including funding for computational resources and model development [21][20] - The articles suggest that the AI landscape is becoming increasingly defined, with a roadmap for future advancements and applications [20][21]
“万亿市值潜力”?欧洲核聚变初创企业吸引创记录投资
Hua Er Jie Jian Wen· 2025-06-12 00:33
欧洲核聚变能源竞赛升级,德国初创公司创纪录融资1.3亿欧元。 Proxima Fusion总部位于慕尼黑,成立于两年前,脱胎于德国马克斯·普朗克等离子体物理研究所,以区 区700万欧元的种子资金起家。 技术路线之争:仿星器挑战托卡马克霸主地位 Proxima选择了一条与众不同的技术路径。该公司专注开发名为"仿星器(stellarator)"的聚变装置,与 传统的"托卡马克(tokamak)"路线形成鲜明对比。 托卡马克技术由苏联科学家在1950年代开创,至今仍b是全球聚变研究的主流方向。 两者的核心原理一致:通过巨型磁铁悬浮氢等离子体,在极端高温下促成原子核聚变,释放巨大能量。 但恒星器的扭曲结构设计更为复杂,建造难度更高,优势在于等离子体稳定性更强,Proxima认为这使 其更适合转化为商业电厂。 相比之下,托卡马克路线在全球范围内获得了更多资金支持,尤其是在美国。比尔盖茨支持的 Commonwealth Fusion Systems于2021年创下18亿美元的融资纪录,Sam Altman支持的Helion也在今年1 月募资4.25亿美元(Financial Times)。 Proxima的1.3亿欧元看 ...
How the U.S. is losing ground to China in nuclear fusion, as AI power needs surge
CNBC· 2025-03-16 13:00
Core Insights - The race between China and the U.S. to achieve grid-scale nuclear fusion energy is intensifying, with China investing significantly more and accelerating project development [1][7][8] - Nuclear fusion is considered the "holy grail" of clean energy, offering four times more energy per kilogram of fuel than traditional nuclear fission and four million times more than coal, with a projected market value of at least $1 trillion by 2050 [2][3] Investment Landscape - Private investment in U.S. fusion startups has surged to over $8 billion, a significant increase from $1.2 billion in 2021, with 25 out of 40 member companies of the Fusion Industry Association based in the U.S. [5][8] - China is reportedly investing $1.5 billion annually in fusion research, while U.S. federal funding has averaged about $800 million annually [11][12] Technological Developments - The U.S. achieved a historic first fusion ignition in 2022 at the Lawrence Livermore National Ignition Facility, producing net positive energy [5] - China is rapidly constructing new fusion projects, including a massive facility that is expected to be twice the size of the U.S. National Ignition Facility [13][14] Research and Development - China has surpassed the U.S. in the number of fusion patents and has ten times the number of doctorates in fusion science and engineering [19] - U.S. fusion projects have largely focused on upgrading existing machines, while China is attracting talent with new projects [18][20] Supply Chain and Material Development - China is investing ten times more than the U.S. in advanced material development necessary for fusion projects, aiming to dominate the supply chain for critical materials [21] - The efficient supply chain in China has enabled rapid advancements, with companies like Energy Singularity achieving significant milestones in a short time frame [21] Future Outlook - Helion aims to deliver fusion power to the grid by 2028, while Commonwealth Fusion Systems plans to bring its first fusion power plant online in the early 2030s [22] - The ultimate goal is to establish a mature fusion industry capable of producing energy for global use, including powering AI centers [22]