Interjecting requires planning ahead. The way a human interjects is that you have a parallel thought chain going, along with the conversation, as it's happening in real time. In this parallel chain, you are planning ahead. What point am I going to make once we are past this point of conversation? What is the implication of what is being discussed here? (You also are thinking about what the other person is thinking; y…
> LLM does not have any of this, architecturally, it just has the text itself. I feel like you are maybe being a bit too focused on specifics of how the LLM works where as: > The way a human interjects is that you have a parallel thought chain going You are more abstract in the human case. They really don’t need to be different here. The LLM could be running predictions in parallel each time you type another token pl…
These models do have an implicit model of thought, but it is only accessible through the token interface. You need more explicit access, which is not possible given the current architecture.
I'd like to be wrong here.