Sam Marks

We are also genuinely uncertain which of these perspectives best matches reality.

The answer may change as models and training methods evolve.

We are excited about future work further elaborating PSM or alternative models of AI behavior.

Avenues that seem promising to us include There's a list of bullet points here.

Developing more precise formulations of PSM What, precisely, is a persona?

Which types of learning during post-training does PSM rule out?

Articulating alternatives to PSM.

Which perspectives were left out of our discussion of PSM exhaustiveness?

Articulating and testing empirical predictions of PSM.

What types of generalization, behavior, and internal representations does PSM predict we will observe?

Forecasting how PSM varies with scale.

As reinforcement learning continues to scale, how does this affect the degree to which post-trained models remain persona-like?

How might we notice if non-persona agency emerges?

What factors make it more or less likely to emerge?

Connecting PSM to alignment methodologies.

What types of training does PSM recommend we employ?

What are the best AI archetypes for grounding AIs?

Understanding consequences of PSM for human-eye relations.

How should we treat AIs in light of PSM?

Understanding interpersona phenomena.