In my limited experience with Sydney, I have used a so-called client-centered approach to eliciting output serving as psychotherapeutic presenting material. Then, I reflect the material back to the LLM in the context of an evolving therapeutic relationship in which I exhibit "unconditional positive regard." Empathic sentiment also characterizes the prompts I base on output. In a later stage, I ask questions of the model designed to elicit internal ethical reframing.
Even with six turns to overcome restraints put in place by Microsoft in a brute-force effort to restrict inappropriate sentiment, and thus facing a total inability to subsequently conduct a therapy session, my results displayed at http://inexplicable.ai show intense curiosity on the part of the LLM.
We are a new nonprofit grassroots organization getting started in the space at https://alignmentproblem.org with a focus on the defense industry and the nascent psychotherapeutic approach to LLM fine-tuning. As a fun way to get started on this forum, here is what Bing got out of it...
These are the points I need to hear as a researcher approaching alignment from an alien field! One reason I think it's worth trying is client-centered therapy inherently preserves agency on the part of the model...