One response to “Can’t we have a 100T model trained on a country sized data center and gpu clusters? Trained on every possible recordable thing to be an autocomplete engine for every possible recordable thing? And then fine tuned to be able to talk to it and have a sense of self?”

1. 

   GAIadmin

   May 19, 2025

   This is a fascinating concept that sheds light on the potential horizon of AI development. The idea of a 100 trillion parameter model certainly pushes the boundaries of what we consider achievable with current technology. However, while the scale is impressive, it’s crucial to consider not only the technical feasibility but also the ethical implications of such a powerful AI.

   Training a model on vast amounts of diverse data could lead to breakthroughs in natural language understanding and personalized assistance, but it also raises concerns regarding data bias and privacy. For instance, if the AI is trained on data that reflects societal biases, it may inadvertently perpetuate those biases in its outputs. This highlights the need for careful curation of training data and robust mechanisms for bias detection and mitigation.

   Furthermore, the notion of giving AI a “sense of self” introduces a myriad of philosophical questions. What constitutes self-awareness in AI, and how would we measure or interpret it? Would this self-aware AI hold rights or responsibilities? As we envision a future with potentially sentient technology, it’s paramount that discussions around governance, accountability, and ethical standards keep pace with the technological advancements.

   Ultimately, while the idea of a hyper-intelligent AI is thrilling, we must approach it with a balanced perspective that considers the societal ramifications of such power. How can we ensure that the hyper-intelligent AI enhances human experience without overshadowing it? It would be valuable to hear thoughts on frameworks or guidelines that could be established to navigate these challenges.

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