alt Hacker NewsI vaguely recall some of the recent math breakthroughs being less about parallelism and more about serial compute. A lot of, "Keep trying," "Try harder," "Try another way," etc.
Regardless, I think both things are great, horizontal (more approaches) and vertical (deeper approaches). And both are made more practical with faster inference.
Those results were found with 64 subagents, or with GPT 5.6 Sol Pro which uses parallelism under the hood.
Low latency is a big deal but the immediate use cases are somewhat different in the short-term (more serial coding workflows) rather than pure math research which is effectively massive-scale search through a tree of possibilities, which is where you want throughput and low cost per token, rather than high speed per token.