In this paper, we propose a novel approach to establish a connection between linguistic objects and classes in Large Language Model Machines (LLMMs) such as GPT3.5 and GPT4, and their counterparts in high level programming languages like Python. Our goal is to promote the development of Digital Nature: a worldview where digital and physical realities are seamlessly intertwined and can be easily manipulated by computational means. To achieve this, we exploit the inherent abstraction capabilities of LLMMs to build a bridge between human perception of the real world and the computational processes that mimic it. This approach enables ambiguous class definitions and interactions between objects to be realized in programming and ubiquitous computing scenarios. By doing so, we aim to facilitate seamless interaction between Turing Machine objects and Linguistic Objects, paving the way for universally accessible object oriented descriptions. We demonstrate a method for automatically transforming real world objects and their corresponding simulations into language simulable worlds using LLMMs, thus advancing the digital twin concept. This process can then be extended to high level programming languages, making the implementation of these simulations more accessible and practical. In summary, our research introduces a groundbreaking approach to connect linguistic objects in LLMMs with high level programming languages, allowing for the efficient implementation of real world simulations. This ultimately contributes to the realization of Digital Nature, where digital and physical worlds are interconnected, and objects and simulations can be effortlessly manipulated through computational means.

翻译：本文提出了一种新颖方法，旨在建立大型语言模型机器（LLMM，如GPT3.5和GPT4）中语言对象与类的联系，以及它们在高级编程语言（如Python）中的对应物。我们的目标是推动"数字自然"的发展：这是一种世界观，其中数字与物理现实无缝交织，并能通过计算手段轻松操控。为此，我们利用LLMM固有的抽象能力，在人类对真实世界的感知与模拟该世界的计算过程之间构建桥梁。该方法使模糊的类定义与对象间交互能够在编程和普适计算场景中实现。通过此举，我们旨在促进图灵机对象与语言对象之间的无缝交互，为普遍可访问的面向对象描述铺平道路。我们展示了一种方法，利用LLMM自动将真实世界对象及其对应模拟转化为语言可模拟世界，从而推进数字孪生概念。该过程随后可扩展至高级编程语言，使这些模拟的实现更易访问且实用。总之，本研究引入了一种突破性方法，连接LLMM中的语言对象与高级编程语言，使得真实世界模拟的高效实现成为可能。这最终有助于实现"数字自然"，其中数字与物理世界相互关联，对象与模拟可通过计算手段轻松操控。