Scott Alexander reports on the Progress Studies Conference, discussing advances in energy, AI, housing policy, and other fields, with an overall optimistic tone about recent developments and potential for future progress. Longer summary

Scott Alexander recounts his experience at the Progress Studies Conference, which focused on various technological and social advancements. The conference covered topics such as energy (particularly solar and nuclear power), politics and regulation, AI, YIMBY movement, self-driving cars, and other areas of potential progress. The overall mood was optimistic about recent developments in these fields, with many speakers highlighting how regulatory changes could accelerate progress. Scott notes that while the conference itself may not be directly responsible for recent advances, it reflects a growing awareness of the importance of technological progress and the need to address regulatory barriers. Shorter summary

Scott Alexander explores theories to reconcile contradictory views on AI progress rates, considering the implications for AI development timelines and intelligence scaling. Longer summary

Scott Alexander discusses the apparent contradiction between Eliezer Yudkowsky's argument that AI progress will be rapid once it reaches human level, and Katja Grace's data showing gradual AI improvement across human-level tasks. He explores several theories to reconcile this, including mutational load, purpose-built hardware, varying sub-abilities, and the possibility that human intelligence variation is actually vast compared to other animals. The post ends by considering implications for AI development timelines and potential rapid scaling of intelligence. Shorter summary