If I'm not mistaken LLMs contain NER and text classification pipelines so you can leverage the exact same infrastructure. I can't see how AGI from that perspec

If I'm not mistaken LLMs contain NER and text classification pipelines so you can leverage the exact same infrastructure. I can't see how AGI from that perspective _isnt_ just an LLM routing tasks to more specialized NLP models to be honest. Unless you're proposing that a bigger LLM (training data, neural network, etc..) will develop the emergent capability to accomplish this without the need for specialized agents. In which case, I can't see how that would perform more efficiently than an LLM routing requests appropriately amongst agents, as it necessarily requires processing much more data. But even if somehow it did perform more efficiently while needing much more data, I don't think the no-agent AGI approach will cover all use cases appropriately. It might be an easier drop in solution, but if I need it to behave a specific way in a specific context, I don't see how an AGI is going to consistently do that more accurately than fine tuning a model for the specific use case and having an LLM routing to it.