Researcher expects rapid AI infrastructure gains, not general superintelligence

Interconnects' Nathan Lambert says AI models will become superhuman at distributed GPU engineering within a few years, but that will not make models dramatically different in nature.

He expects inference cost to fall near-exponentially as agents optimize training and serving stacks, with pretraining architecture and data selection automated in 2-3 years. He also says RL environment data quality is low and fixable.