What is the strongest mechanistic argument that next token prediction plus reinforcement learning can produce open-ended general intelligence? [D]

Explain Like I'm Normal

A deep-dive discussion into whether current transformer architectures and RL can actually bridge the gap to general intelligence through first principles. The core debate shifts from simple trend extrapolation to whether next-token prediction can encode universal world models. It challenges the community to move past hype and identify the exact computational mechanisms that lead to agency.