An evolutionary model of animats with VLM-based subjective evaluation
The episode discusses a paper using a Vision-Language Model (VLM) to subjectively evaluate and evolve virtual animals called animats. The hosts explore how the AI translates abstract subjective terms like "adorable" or "weird" into concrete visual features, such as fluidity or disjunction, showing that the AI maps language onto motion concepts.