| It doesn't need to be trained any differently. We can use the current LAMDA model to do this (if we have real access). We would put a small non-learning/non-neural interface on top of the system to implement these ideas. That interface could act like this: * To ask for extra "thinking" text: after the underlying model stops typing, we output that text to the human user. But we then do the equivalent of pressing tab to request more text, and buffer that. * To summarise some text (eg some of the thinking text from above), we can use another instance. We put it into summarisation mode, eg using the TLDR hack or any other method. Summarised text can be used as a prompt, or as output. * We can bifurcate by copying instance state and starting a new instance. These are pretty basic ideas, probably already in use, but I think they show how we can expand the system from a kind of instantaneous stimulus-response to something more interesting. Hopefully it's clear this is not equivalent to sleep(10). In my view it doesn't make the system more intelligent, rather it allows the system to use its existing abilities more fully. (edit: another aspect we could control would be switching the system between high-temperature modes and low-temperature modes, in different instances, and depending on what we're trying to achieve. This relates a bit to the "speculation" comment made above by another user.) |