Show HN: Eevo β Consequential Decision Modelhttps://www.uprightproject.com/eevo
Hi HN, I'm Juho from Upright. I think we may have stumbled upon an interesting approach to AI alignment. The idea is as follows: 1. train a decision model to be really good at comparative sizing of consequences, expected value problems, and modelling overlap between different consequences 2. create a harness around that model that accepts a decision context, list of options, and identified consequences, then runs pairwise comparisons and overlap modelling for the consequences using the decision model in (1), and finally solves implied relative consequences "sizes" and finally EV (for differenβ¦
