Scott analyzes whether AI forecasters will plateau near human levels or keep improving, arguing that even non-miraculous progress could yield 4-12 percentage point improvements in prediction market accuracy.

Scott Alexander plays chess against GPT-2, an AI language model, and discusses the broader implications of AI's ability to perform diverse tasks without specific training.

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

The post reviews Laszlo Polgar's book on raising genius children, discussing his educational philosophy and methods, while noting that his success likely comes from early specialization, focus, and one-on-one instruction.

Scott Alexander explores Laszlo Polgar's successful educational methods that produced chess prodigies, analyzing possible explanations and lamenting the unavailability of Polgar's book on his techniques.