Tag
This paper distinguishes between two tasks in LLM opinion simulation—emulation (generating individual responses) and estimation (directly predicting population distributions)—and finds that base models are better emulators while post-trained models are better estimators, using the Pew American Trends Panel.
An analysis of AI agent adoption in 2026, citing Gartner, McKinsey, and Deloitte data showing that while over 40% of agentic AI projects are forecast to be cancelled by 2027 and fewer than 10% of enterprises have scaled one for real value, coding agents have become default practice with over 90% deployment. The article finds the predicted 'wow' use case is uneven, concentrated in coding assistance and document retrieval, while governance remains immature.
This tweet, based on survey data, shows that high-income earners make up over 50% of users of the five flagship AI models, far above the American adult average. Meanwhile, low-income earners are extremely rare among Claude users.