Robotics paper index
The Shared Prosperity Internet
One-line summary
The SPI democratizes AI and automation benefits through innovative design principles and technical frameworks.
Engineering notes
The SPI has practical applications in various fields such as education and healthcare, enabling responsive remote teaching and improved elder care solutions. The defined metrics for outcomes can guide engineers in optimizing systems for performance and sustainability.
Chinese explanation / 中文解读
共享繁荣互联网（SPI）是一种网络计算架构，旨在使自动化和人工智能的利益广泛可及。本文针对Shannon、Landauer、Turing和Einstein的物理限制，提出了信任、可持续性和技术主权三项设计原则，并将其映射到三大技术支柱上。SPI以远程教育、机器人教学和老年人护理为基础，定义了可衡量的成果。
Original abstract
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.
Links and sources
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