Posts

AI-Phi 3.0 is here! With a bold new identity, a new season of events, and a few surprises on the horizon.

Katharina explores why the question of artificial sentience (or “awareness”, or “consciousness”) is raised in science receiving considerable public funding despite the lack of empirical evidence? What this might mean and what the implications of it are.

Are qualitative differences in conscious experience, like vision versus audition, shaped by the intrinsic structure of neural networks? This talk proposes a mathematical framework using symmetry groups and equivariance to characterize these differences. This approach offers a new path for linking consciousness to neural architecture.