it feels like we are entering a different phase of the ai era.. e.g. - frontier models are still improving, but improvements are increasingly measured in reliability, latency, memory, cost, tool use, & workflow completion rather than holy shit benchmark jumps. - the labs are starting to look less like research projects & more like mature platform companies who are now going public which means quarterly earnings. - distribution is becoming way way more important than raw intelligence. -…