Very frightening that someone can bake “reasoning” into a machine: “OpenAI, the maker of the Artificial Intelligence (AI) chatbot, ChatGPT, has launched new AI models, o1-preview and o1-mini, that are capable of performing some human-like reasoning tasks.” In the Igbo Nation, the elders will remind you that wisdom is a bag, and everyone carries his or her own.
During Nkwo days (as in Ovim), during the weekly male-born meetings, over palm wine provided by the village palm wine tappers (in most Igbo communities, palm wine tappers give all their produce one day in a week, as a way or pre-paying their kinsmen for lost wages, as most typically fall at work, and work days are lost searching for them), that wisdom becomes self-evident: no matter how smart you are, that does not mean the other Mazi’s viewpoints cannot be entertained.
So, when machines can do the “reasoning” and “wisdoming”, the question now is this: who feeds that machine with what is really the right call? If AI does not scare you to take ACTION on your career, it has not been well explained to you!
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While it is true that AI’s increasing capacity to simulate human reasoning raises ethical and societal questions, it’s important to distinguish between machine-like reasoning and human-like reasoning.
AI systems like ChatGPT operate on patterns and logic derived from vast datasets but lack the inherent consciousness, emotional intelligence, and ethical wisdom that humans possess. While they mimic reasoning, they do not understand in the way humans do.
The concerns expressed could stem from three points:
1. Loss of human uniqueness: If machines can “reason,” a skill that was traditionally viewed as unique to humans, people may fear a diminished role for human cognition.
2. Automation and job displacement: As AI systems become more capable, concerns over job security and the role of human workers become increasingly valid. This fear highlights the importance of reskilling and adapting to a rapidly changing job market.
3. Ethical Concerns: Who Decides What is Right? The key question raised—”who feeds that machine with what is really the right call?”
SUCULTURE.
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