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Future of AI Architecture and GPT-5 Insights
This chapter explores the architectural future of large language models, emphasizing the need for layered systems to handle various complexities in problem-solving. It delves into the enigmatic QSTAR project and the challenges of maintaining confidentiality in AI advancements, particularly for organizations like OpenAI. Additionally, the discussion touches on the anticipation and complexities surrounding the release of GPT-5 and the importance of transparent, iterative deployment in AI technologies.