卡尔达舍夫等级
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马斯克设想:每年发射1百万吨AI卫星
财联社· 2025-12-08 05:24
随着人工智能热潮开始受到越来越多基础设施和能源供应的瓶颈,人工智能的下一次重大飞跃可能不会发生在陆地上,而是在太空上。 这是埃隆·马斯克最新在X上提出的宏大设想。 美东时间周日,马斯克在X上写道: 在低延迟的太阳同步轨道上,仅将计算结果传输回来的本地化AI计算卫星,将在三年内成为生成人工智能比特流 成本最低 的方 式。 而且,由于地球上现成的电力资源本就稀缺,因此,在四年内实现规模化扩张的速度也遥遥领先。 每年发射1百万吨级的卫星, 每颗卫星配备100千瓦的功率,即可每年新增100吉瓦的人工智能计算能力 ,且无需任何运营或维护成本,并通过高带宽激光器 连接到星链星座。 更进一步, 可以在月球上建造卫星工厂 ,并使用质量驱动器(电磁轨道炮)将人工智能卫星加速到月球逃逸速度,而无需火 箭。这将使人工智能计算能力达到每年超过100太瓦,并推动人类向卡尔达舍夫II型文明(Kardashev II civilization)迈出重要一 步。" 马斯克所说的"卡尔达舍夫等级"是由苏联天文学家尼古拉·卡尔达舍夫于1964年提出的技术评估体系,通过能源利用能力将文明划分为Ⅰ型 (掌控行星能源)、Ⅱ型(收集恒星系统能量)和Ⅲ型 ...
前端危,Gemini 3内测结果获网友一致好评,“有史以来最强前端开发模型”
3 6 Ke· 2025-10-13 23:51
Core Insights - Google's next-generation flagship model, Gemini 3, has gained significant attention even before its official release due to its impressive capabilities [1] - Users have shared positive feedback on Gemini 3's performance, particularly in front-end development and multi-modal tasks [1][3] Group 1: Model Features - Gemini 3.0 Pro utilizes a MoE architecture with trillions of parameters, activating only 15-20 billion parameters per query, and has expanded its context window from 1 million to several million [4] - The model includes a deep thinking mode and supports multi-modal inputs such as video, images, and audio [4] - In a challenging general intelligence test, Gemini 3.0 achieved an accuracy rate of nearly 35%, outperforming other models which scored below 20% [6] Group 2: Performance Highlights - User tests indicate that Gemini 3.0 excels in programming and multi-modal tasks, particularly in front-end and interface design [9] - The model successfully generated a visually appealing website for an ancient art museum and handled complex tasks related to the Kardashev scale [9] - In the "HLE benchmark," considered one of the toughest tests, Gemini 3.0 scored 32.4%, surpassing GPT-5 and Grok 4 [10] Group 3: Visual and Creative Capabilities - Gemini 3.0 demonstrated significant improvements in rendering images, producing high-quality game backgrounds, and creating intricate SVG graphics [12][15] - The model effectively understood physical principles and accurately counted objects in images, showcasing its advanced reasoning capabilities [21] Group 4: Anticipated Release - There are speculations about the release date of Gemini 3.0, with rumors suggesting it may launch on October 22, following earlier incorrect predictions [23][24] - Internal documents allegedly leaked from Google have fueled these release date discussions [24]