The point about spell check is a very good one. I think one big differentiator is that the attack/risk surface for something as complex as a LLM is much higher

The point about spell check is a very good one. I think one big differentiator is that the attack/risk surface for something as complex as a LLM is much higher and that much, much more information is encoded in an LLM than a spell checking dictionary. For example, it's possible to extract training data from an LLM—which could include PII/medical data/etc. Those risks don't exist with spellcheck as far as I'm aware. To your point about what is "AI", I'd state that AI is a misnomer. What we're really talking about are generative large language models (LLMs). What an _can_ be considered an LLM is definitely up for debate, but if you were to describe one in general terms I think we could reasonably say that most (or all) things we consider LLMs are: 1. A probabilistic model of a natural language 2. Have the ability to interpret and generate natural language text 3. Typically encode a large volume of training data I'd love to hear other thoughts on how one would define an LLM in practical, simple language. I imagine doing so would be a pre-requisite to any effective legislation.