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深度科普之《平行宇宙》,宇宙之外还有无数宇宙?(近10000字)
Sou Hu Cai Jing· 2025-04-13 16:50
Group 1 - The concept of parallel universes is not merely a creation of science fiction but is derived from scientific observations and theories [1] - There are various theories regarding parallel universes, some of which are simpler to understand while others are more complex, particularly those related to string theory [3][32] - The observable universe is limited to a sphere with a radius of approximately 41 billion light-years due to the finite speed of light and the expansion of the universe [5][12] Group 2 - The concept of the observable universe suggests that regions beyond our observable limits are completely independent and cannot be influenced by us [7][11] - The universe's expansion has been accelerating since about 7 billion years ago, which means that some galaxies currently within our observable universe may eventually move beyond our reach [12] - If the universe is infinite, there could be countless parallel universes with identical arrangements of particles, leading to the existence of duplicates of ourselves in different scenarios [14][16] Group 3 - The inflationary universe theory addresses the uniformity of cosmic microwave background radiation by proposing a rapid expansion of the universe shortly after the Big Bang [18][22] - This rapid inflation occurred approximately 10^-36 seconds after the Big Bang and expanded the universe by a factor of 10^26 [22] - The concept of eternal inflation suggests that while our local universe may have stopped inflating, the overall universe continues to expand indefinitely, creating numerous "pocket" universes [26][31] Group 4 - String theory introduces the idea of multiple dimensions and membranes, suggesting that our universe exists on a three-dimensional membrane among many others [32] - Quantum parallel universe theory posits that when a quantum event occurs, the universe splits into multiple branches, each representing different outcomes [57][61] - The double-slit experiment illustrates the wave-particle duality of electrons, leading to the conclusion that they can exist in multiple states simultaneously until observed [40][49]
中国银河证券:推理算力重要性提升 光模块等算力细分赛道发展再加速
Zhi Tong Cai Jing· 2025-03-24 08:58
Core Insights - The importance of inference computing power is increasing, with significant growth expected in related sectors such as optical modules and chips, driven by advancements in hardware and software from companies like NVIDIA [1][4] Group 1: Inference Computing Power Growth - Inference computing power is projected to continue growing, with NVIDIA's CEO stating that the demand for computing power will be 100 times greater than in the past to support advancements like AGI and embodied intelligent robots [1][2] - The number of tokens processed by models has increased to over 100 trillion, with inference models requiring 20 times more tokens and 150 times more computational power than before [2] - NVIDIA's Blackwell architecture shows a performance improvement of 68 times over the previous Hopper architecture, leading to an 87% reduction in costs [2] Group 2: Hardware and Software Developments - NVIDIA introduced the upgraded Blackwell Ultra architecture, emphasizing its potential to generate 50 times more revenue for data centers, with a clear development roadmap extending to 2026 and beyond [3] - The launch of the open AI engine stack, Nvidia Dynamo, aims to simplify inference deployment and scaling, potentially creating a new paradigm for efficiency in hardware and software [3] - The introduction of Nvidia Llama Nemotron is expected to serve as a foundational model for inference, facilitating exploration in related areas and forming an ecosystem [3] Group 3: Investment Recommendations - The current landscape indicates that the demand for computing power is not declining but is instead being stimulated by the growth of inference applications, suggesting substantial investment opportunities in the sector [4] - Recommended investment targets include telecom operators such as China Mobile, China Unicom, and China Telecom, as well as companies in optical modules and chips like Zhongji Xuchuang, Xinyi Guosheng, and others [4]