We show evidence that LLM scaling theory, connecting Zipf's law to scaling laws, applies to AlphaZero scaling.

In human vision, representational dimensions continually expand to enable abstraction, whereas artificial networks undergo late-stage collapse that may constrain their capacity for flexible generalization.