2023/01/01 by Daniel S Goldman · 1 voice
Computer Science · Decision Sciences · #Computational Physics and Python Applications #Big Data Technologies and Applications
paper · pdf · doi:10.31234/osf.io/bx29f
openalex publication_date 2023/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/15
Natural language processing has come a long way since it was first conceived, and projects like OpenAI's GPT have created a lot of renewed interest in the technology. While these kinds of systems are great at creating short pieces of information based on a prompt, they have severe limitations, and come nowhere close to general intelligence or digital sentience. Still, OpenAI's system allows for the integration of robust prompt completion in third party applications. Using their API, it may be possible to add layers of functionality that create a system that can keep track of information from multiple contexts and continuously process it in a way which at least mirrors consciousness. To determine how successful this system is, existing tests from psychology, such as the NEO PI-R and the MMPI-2 can be utilized. This paper outlines the overall process to accomplish this task.