Exploring Next-Generation AI Architectures

The next frontier in AI architecture revolves around alternative architectures beyond the diffusion and decoder-only transformer models. Specifically, the focus is on the transformer architectures like RWKV and state space models such as Mamba, Stripe Taena, and S4 H3 from HZ Research. These non-quadratic language models promise significant scalability improvements compared to traditional transformers. The potential implications include handling massive amounts of data such as hundreds of thousands of hours of video or entire genetic sequences for synthesizing new drugs, opening up unprecedented AI application possibilities due to the affordability and accessibility of these advanced capabilities.