What major architectural breakthroughs do you anticipate beyond current transformer scaling?

Current autoregressive architectures excel at pattern recognition and next-token prediction, but they still struggle with verified multi-step reasoning and deep world modeling. We are investing heavily in architectures that integrate continuous test-time compute, formal verification loops, and autonomous self-correction. The next frontier is moving from probabilistic conversational mimics to dependable logical reasoning engines.