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In The Era of Artificial Generalized Intelligence (AGI), GPT-4: A Not-So-OpenAI
Artificial Generalized Intelligence (AGI) is excellent n all, but what does it mean to all of us? Is it overall a good thing?
I. Introduction
A. Definition of Artificial Generalized Intelligence (AGI)
Artificial Generalized Intelligence (AGI) refers to the development of intelligent machines that can perform tasks across a broad range of domains without being specifically programmed for each task ref1, ref2. AGI aims to develop machines that can perform various tasks with the same level of proficiency as humans. This a bold claim, but I think we can limit this definition to only “Generalized intelligence.”
In contrast, a narrow AI designed to perform specific tasks by generating task-specific data and training/tuning for the same exact task,
B. Importance of AGI development
The development of AGI is seen as a critical step in the advancement of artificial intelligence (AI). It can potentially revolutionize how we live and work, from improving medical diagnosis and treatment to optimizing energy consumption and mitigating climate change. AGI can also help us solve complex problems beyond human intelligence’s capabilities, such as predicting natural disasters and designing new materials. Although this is a severely optimistic way of looking at the potential of AGI, one can confidently say that the advances in AGI will have profound effects on the human life.
The development of AGI holds enormous promise, but it is also problematic due to its complexity and potential risks. Technical and philosophical challenges pose significant obstacles to its development, and the risks associated with AGI development, including existential and societal risks, must be carefully considered before proceeding. Let’s discuss the dark side —
II. Complexity of AGI development
A. Technical challenges —
Scalability
