My main takeaway is that Generative AI has hit a wall... New paradigms, architectures and breakthroughs are necessary for the field to progress but this begs the question, If everyone knows the current paradigms have hit a wall, Why is so much money being spent on LLMs ,diffusion models etc,which are bound to become obsolete within a few(?) years?