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I see your argument but your example seems highly contrived. I can't think why you'd want to use something like this for something as dynamic as takeout ordering, where you might have to deal with bad customers, supply chain breakages, public health recalls, or any of many other probabilistic events.

I think it's far more likely to see them used in safety critical applications where you need a capable model that can run on low power and doesn't have multiple layers of operating abstractions between the model and the hardware.

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What safety critical applications would be a good fit for LLMs?
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> Of course the real answer is to just never expose the model to situations where an adversarial input could possibly lead to an undesired output. But that drastically limits what you can do with it.

Does it though? Isn't that what CPUs are, very fast-not-so-clever computing brain surrounded by layers that protect it?

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