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Here's a question:
AI has been widely adopted for less than four years, and during this time, it has already incorporated all trainable data from human history.
What data should future large models be trained on?
Suppose our interactions with AI are also used as training data—wouldn't that mean future AIs will continually train on content generated by their previous versions?
Does this imply that the intelligent evolution of AI based on the Transformer architecture has already reached a ceiling?