The Shared Prosperity Internet (SPI) is a network-computing architecture that makes the benefits of automation and Artificial Intelligence (AI) broadly accessible to the society. To ground its design, this paper maps the physical constraints of Shannon, Landauer, Turing, and Einstein to three design principles: trustworthiness, sustainability, and technological sovereignty, and maps them into three technical pillars: i) post-Shannon, goal-oriented communication that transmits only what the task requires; ii) anticipatory decision-making ("negative latency") with confidence-bounded pre-action and correction; and iii) beyond-digital computing that selects energy-optimal substrates under deadline and computability constraints. The SPI is grounded in three societal use cases: remote teaching for pupils, remote teaching of robots and cyber-physical systems, and elder care. Furthermore, this paper defines measurable outcomes for an SPI, including latency decomposition, bits per event, energy and CO2 per task, safety and privacy indicators, and robustness.

翻译：共享繁荣互联网（SPI）是一种网络计算架构，能使自动化与人工智能（AI）的益处广泛惠及社会。为奠定其设计基础，本文首先将香农（Shannon）、兰道尔（Landauer）、图灵（Turing）及爱因斯坦（Einstein）的物理约束映射至三项设计原则：可信性、可持续性与技术主权，进而将其转化为三大技术支柱：i）后香农时代面向目标的通信，仅传输任务所需内容；ii）具有置信度边界的预动作与校正功能的预期性决策（"负延迟"）；iii）在截止时间与可计算性约束下选择能量最优基底的超越数字计算。SPI以三类社会用例为根基：远程教学、机器人与信息物理系统远程控制、以及老年人照护。此外，本文定义了SPI的可量化指标，包括延迟分解、每事件比特数、每任务能耗与碳排放量、安全与隐私指标以及鲁棒性。