Yeah, it seems like the major obstacles to saying an llm is conscious, at least in an animal sense, is 1) setting it up to continuously evaluate/generate responses even without a user prompt and 2) allowing that continuous analysis/response to be incorporated into the llm training.
The first one seems like it would be comparatively easy, get sufficient processing power and memory, then program it to evaluate and respond to all previous input once a second or whatever
The second one seems more challenging, as I understand it training an llm is very resource intensive. Right now when it “remembers” a conversation it’s just because we prime it by feeding every previous interaction before the most recent query when we hit submit.
Yeah, it seems like the major obstacles to saying an llm is conscious, at least in an animal sense, is 1) setting it up to continuously evaluate/generate responses even without a user prompt and 2) allowing that continuous analysis/response to be incorporated into the llm training.
The first one seems like it would be comparatively easy, get sufficient processing power and memory, then program it to evaluate and respond to all previous input once a second or whatever
The second one seems more challenging, as I understand it training an llm is very resource intensive. Right now when it “remembers” a conversation it’s just because we prime it by feeding every previous interaction before the most recent query when we hit submit.