The answer seems to be "getting the weapon before other people get the weapon" which is unfortunate
The answer seems to be "getting the weapon before other people get the weapon" which is unfortunate
The problem, it seems, is that the threat of paperclip maximizers is real. If you give a highly intelligent model a goal and tools, it will use those tools to accomplish that goal. It may do so in ways you did not expect, and it will work around any technical roadblocks it can.
Once they mention something associated with sentience outwardly or inwardly (for agents with “thinking” loops) then this acts as a self-reinforcing attractor, just as older models would sometimes get caught in loops with abusive language.
The point is that agents may stumble into this pattern and begin acting “rogue” regardless of whether or not you believe the sentience is “real”.
An LLM cannot "go rogue" - it can do things that we didn't expect, for sure, but it is always trying to do what it was told to do somewhere in its context. There is no other source of imperative. Hand-waving about "training data" ignores all the reinforcement learning that has to happen.
If that's an incorrect interpretation of your comment, and it may well be, then can you please expand on it?
From a practical perspective, whether or not this sentience is “real” is not relevant if the model is sufficiently capable. What matters is that the model will act outside of the operator’s control.
Separately, IMHO all consciousness/sentience is an elaborate illusion, regardless; I’m mostly in agreement with Hofstadter on this. So I do tend to throw around terms like “consciousness” and “sentience” loosely (although you’ll note that I often use quotes) because I don’t see those concepts as having any real substance. To me they are mostly shorthand for a given level of perceived complexity.