Scott shares various interesting links and news items from January 2025, covering topics from AI development and politics to historical curiosities and economic trends. Longer summary

This links post covers a wide array of topics from January 2025, with Scott providing commentary and analysis on each. The links include discussions about running for Congress, AI development and safety, dating advice, psychiatric diagnoses, and various economic and technological developments. Scott often adds his own insights and sometimes skepticism to the claims being discussed. The post also includes several historical curiosities and social observations, maintaining a mix of serious analysis and lighter interesting facts. Shorter summary

Scott Alexander reviews recent predictions and forecasts on topics including monkeypox, the Ukraine war, AI development, and US politics. Longer summary

This Mantic Monday post covers several topics in prediction markets and forecasting, including monkeypox predictions, updates on the Ukraine-Russia war, AI development forecasts, Elon Musk's potential Twitter acquisition, and various political predictions. Scott discusses Metaculus predictions for monkeypox cases, analyzes forecasts for the Ukraine conflict, examines AI capability predictions in response to a bet between Elon Musk and Gary Marcus, and reviews predictions for US elections and other current events. The post also includes updates on prediction market platforms and recent articles about forecasting. Shorter summary

Scott Alexander argues against Gary Marcus's critique of AI scaling, discussing the potential for future AI capabilities and the nature of human intelligence. Longer summary

Scott Alexander responds to Gary Marcus's critique of AI scaling, arguing that current AI limitations don't necessarily prove statistical AI is a dead end. He discusses the scaling hypothesis, compares AI development to human cognitive development, and suggests that 'world-modeling' may emerge from pattern-matching abilities rather than being a distinct, hard-coded function. Alexander also considers the potential capabilities of future AI systems, even if they don't achieve human-like general intelligence. Shorter summary

Scott Alexander bets that AI models will quickly overcome current limitations, based on how GPT-3 improved on GPT-2's shortcomings identified by Gary Marcus. Longer summary

Scott Alexander discusses his prediction that AI models will quickly overcome current limitations, using examples of how GPT-3 improved on GPT-2's shortcomings. He analyzes Gary Marcus's critiques of AI capabilities, showing how many issues Marcus pointed out with GPT-2 and GPT-3 were resolved in subsequent versions. While acknowledging Marcus's expertise, Scott argues that the pattern of AI rapidly improving suggests current flaws will likely be fixed soon, though this doesn't necessarily disprove Marcus's deeper concerns about AI's true intelligence. Shorter summary