The simulacra theory is an apt one, see https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/simulators https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/simulator

The simulacra theory is an apt one, see https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/simulators https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/simulators Particularly, as noted by David Chalmers: > What pops out of self-supervised predictive training is noticeably not a classical agent. Shortly after GPT-3’s release, David Chalmers lucidly observed that the policy’s relation to agents is like that of a “chameleon” or “engine”: >> GPT-3 does not look much like an agent. It does not seem to have goals or preferences beyond completing text, for example. It is more like a chameleon that can take the shape of many different agents. Or perhaps it is an engine that can be used under the hood to drive many agents. But it is then perhaps these systems that we should assess for agency, consciousness, and so on.[6]