Generative AI technologies are increasingly acquiring characteristics of interactive cognitive agents. These systems have considerable potential to augment learning and creativity, but they also pose novel challenges to the human mind. Continuous reliance on generative AI may result in cognitive surrender, where decision-making and reasoning are progressively outsourced to the algorithms. Widespread generative AI use may result in the homogenisation of language and reduce epistemic diversity. Although generative AI is unlikely to cause primary delusions, its interactive and sycophantic nature may reinforce overvalued ideas in a vulnerable population. We argue that AI may augment cognition and creativity if efforts are made towards AI literacy, critical- thinking education, and human-in-the-loop practices.
The emergence of Large Language Models (LLMs) has fundamentally changed how users discover information. Instead of retrieving ranked hyperlinks, modern AI systems synthesize responses by integrating information from multiple sources and recommending entities directly within gener…
This paper develops a causal theory for distinguishing information processing from genuine knowledge acquisition in artificial intelligence. Large language models can generate accurate explanations, solve unfamiliar problems, and reconstruct complex conceptual relations. However,…
We develop a federal-level decision-support framework for managing a long-run transition to an economy in which artificial intelligence and inexpensive general-purpose robots can perform a substantial share of cognitive and physical tasks. The framework does not forecast the tech…
Generative artificial intelligence (GenAI) systems, particularly large language models (LLMs), expose a dense and interacting set of architectural, optimization, and inference-time parameters that jointly determine factual reliability, adaptation quality, and reproducibility. Thi…
This article explores why English language teachers may have a unique advantage in AI prompt engineering. It examines how skills in applied linguistics, communication, instructional design, scaffolding, and discourse analysis can support effective interaction with Generative AI a…
В статье представлен обзор современных направлений применения искусственного интеллекта в архитектурном проектировании и инженерии в условиях цифровой трансформации строительной отрасли. Рассмотрены ключевые технологии, включая генеративный искусственный интеллект (Generative AI)…