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Creating an AI that could autonomously design, train, and implement a superior version of itself is a concept referred to as recursive self-improvement or AI bootstrapping. While this is a fascinating idea and a topic of much discussion in AI research, it is a difficult task with many challenges and risks.
Let's consider the capabilities you mentioned:
Enhanced Short-Term Memory (Extended Token Window): This is an issue of architecture. In principle, GPT-5 could include such improvements, and they could be beneficial. However, a larger token window would significantly increase computational requirements, and it's unclear how much benefit this would actually provide for the specific task of developing a superior AI.
Creating an AI that could autonomously design, train, and implement a superior version of itself is a concept referred to as recursive self-improvement or AI bootstrapping. While this is a fascinating idea and a topic of much discussion in AI research, it is a difficult task with many challenges and risks.
Let's consider the capabilities you mentioned:
Enhanced Short-Term Memory (Extended Token Window): This is an issue of architecture. In principle, GPT-5 could include such improvements, and they could be beneficial. However, a larger token window would significantly increase computational requirements, and it's unclear how much benefit this would actually provide for the specific task of developing a superior AI.
Improved Long-Term Memory (Modifying Its... (read more)