>2) Deterministic reasoning towards outcomes. Most statistical models rely on "predicting" outputs, but I've seen very little work where the "end state" is coded into a model. Eg: a chatbot knowing that the right answer is "ordering a part from amazon" and guiding users towards it, and knowing how well its progressing to generate relevant outputs.
Here's a real generalist question? What's the point of conversation? In the sense that its a "social game", what are the strategy sets on a given turn, and what does it even mean to "win"? Forget about Artificial Bullshiters vs Artificial Idea-what-to-say. How can we even speculate if ABS or "real AI" solves the problem better when we don't really specify the problem space or how to recognize a solution?
In terms of calls and appropriate responses and responses to responses and terminal states, what even is conversation at the protocol level?
Here's a real generalist question? What's the point of conversation? In the sense that its a "social game", what are the strategy sets on a given turn, and what does it even mean to "win"? Forget about Artificial Bullshiters vs Artificial Idea-what-to-say. How can we even speculate if ABS or "real AI" solves the problem better when we don't really specify the problem space or how to recognize a solution?
In terms of calls and appropriate responses and responses to responses and terminal states, what even is conversation at the protocol level?