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Can AI models self-improve recursively via agentic methods?

Could AI models start self-improving recursively, scaling up performance to the moon in an infinite loop? A friend said that it's impossible, I wasn't that sure. I argued that with agentic methods like Absolute Zero (basically an LLM generates training data by itself by

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