The post discusses a study where a transformer neural network learns to play Conway's Game of Life using only examples. User comments express skepticism about the methodology, suggesting that while the results could be interesting, the model may just be brute-forcing solutions rather than truly learning the underlying algorithm. They raise concerns about the lack of clarity regarding whether the model genuinely learns the game's logic or just achieves accuracy by a different means such as matrix operations or convolutions, which are common in such simulations. Comments highlight the potential of other models like differentiable logic cellular automata that aim to derive the logic itself for better generalization.