And the potential complication of multiple parts and specific applications a tool-oriented system is likely to be in—it’d be very odd if we decided the language processing center of our own brain was independently sentient/sapient separate from the rest of it, and we should resent its exploitation.
Yeah. I think a sentient being built on a purely more capable GPT with no other changes would absolutely have to include scaffolding for eg long-term memory, and then as you say it’s difficult to draw boundaries of identity. Although my guess is that over time, more of that scaffolding will be brought into the main system, eg just allowing weight updates at inference time would on its own (potentially) give these system long-term memory and something much more similar to a persistent identity than current systems.
In a general sense, though, there is an objective that’s being optimized for
My quibble is that the trainers are optimizing for an objective, at training time, but the model isn’t optimizing for anything, at training or inference time. I feel we’re very lucky that this is the path that has worked best so far, because a comparably intelligent model that was optimizing for goals at runtime would be much more likely to be dangerous.
Yeah. I think a sentient being built on a purely more capable GPT with no other changes would absolutely have to include scaffolding for eg long-term memory, and then as you say it’s difficult to draw boundaries of identity. Although my guess is that over time, more of that scaffolding will be brought into the main system, eg just allowing weight updates at inference time would on its own (potentially) give these system long-term memory and something much more similar to a persistent identity than current systems.
My quibble is that the trainers are optimizing for an objective, at training time, but the model isn’t optimizing for anything, at training or inference time. I feel we’re very lucky that this is the path that has worked best so far, because a comparably intelligent model that was optimizing for goals at runtime would be much more likely to be dangerous.
One maybe-useful way to point at that is: the model won’t try to steer toward outcomes that would let it be more successful at predicting text.