The Computing for the Fair Human Life.
From DALL-E with some prompting
The image explores how human decision-making has evolved from data analysis to probabilistic judgments. Initially, rules derived from data led to definitive decisions, but with the advent of AI, we have returned to probabilistic decision-making. The phrases at the top suggest that the real world may be inherently probabilistic and that humans still lack complete knowledge of the quantum realm.
From DALL-E with some prompting
This diagram illustrates the journey from the basics of coding to the creation of digital solutions that meet the requirements of the real world. It begins with an understanding of the fundamental syntax of programming, progressing to knowledge of system calls, operating systems and kernels, computer architecture, and the workings of hardware. This technical acumen is combined with the roles of digital experts, programming experts, and system experts who transform client and business requirements into digital solutions. This process involves specific data models, system architecture and design, framework APIs, and database management. Overall, the diagram describes the comprehensive process of developing digital services, starting from coding and extending to advanced technical understanding in network architecture, engineering, and packet management.
From DALL-E with some prompting
The image depicts the three stages of AI forming artificial intelligence through repeated classification tasks based on data:
In this process, AI leverages extensive data for repetitive classification tasks, and the result is what we refer to as ‘intelligence.’ However, this intelligence is not an emulation of human thought processes but rather a product of data processing and algorithms, which qualifies it as ‘artificial intelligence.’ This underlines that the ‘artificial’ in AI corresponds to intelligence derived artificially rather than naturally through human cognition.
From DALL-E with some prompting
The image illustrates the concept of digitization. It shows an analog signal being converted into a digital format, represented by a sequence of binary numbers. The process emphasizes the importance of accuracy and precision in digitization, noting that even small errors in digitizing the signal can lead to significant computing errors. Therefore, maintaining high accuracy and precision is marked as important to ensure the integrity of the huge computing tasks that rely on the digitized data.
> original image
From DALL-E with some prompting
The image highlights the centrality of data in digital operations. Data manifests in various forms and is at the core of all digital processes, from traditional CPU tasks to contemporary AI/ML services. The CPU utilizes the Von Neumann architecture to execute instructions that process data. Programs manipulate this data to perform desired operations. Databases store and manage this data, while AI/ML learns from the data and generates predictive models. Ultimately, all these processes culminate in services that are delivered to users. Throughout these stages, the fundamental programming principle of ‘If’ (condition) and ‘Then’ (action) is applied, facilitating data-driven decisions and enabling automated processing.
From DALL-E with some prompting
This image illustrates the process of how AI and humans interact with data. Initially, data undergoes computation, followed by human-led analysis. Rules are then discovered, which inform the creation or improvement of models. These processes lead to the sharing and generation of new ideas, feeding into an acceleration of AI capabilities.
The analysis and AI-discovered rules are used to construct or enhance models, which are then verified by AI to confirm the outcomes. Ultimately, the new ideas, products, or services developed through this process are shared and disseminated across society. This entire cycle fosters rapid advancements in AI, enabling improvements in human efficiency and task execution.
Lechuck Park 