Scaling works. These researchers are betting billions it isn't enough

World models and reinforcement learning offer a path beyond transformer scaling limits. Researchers argue that relying solely on larger models will eventually plateau without alternative architectural paradigms like neurosymbolic AI. This shift could redefine how developers approach reasoning and autonomous agents in future generations of systems.

Opening Kapyn…