
""The potential use of large language models (LLMs) to simulate human cognition and behavior has been heralded as an upcoming paradigm shift in psychological and social science research," wrote lead author Eric Mayor, PhD, a senior researcher at the University of Basel, in collaboration with Lucas Bietti, PhD, an associate professor of psychology at Norwegian University of Science and Technology (NTNU), and Adrian Bangerter, PhD, a professor of psychology at the University of Neuchâtel."
""The use of generative AI is on the rise and rapidly being adopted. Generative AI is the umbrella category for novel content such as images, videos, sound, and text that was created artificially via machine learning. According to The AI Index 2025 Annual Report by Stanford Institute for Human-Centered AI (HAI), 71% of survey respondents used generative AI in 2024, which is a sharp rise when compared to 33% of survey respondents the year prior.""
""LLMs are a subset of generative AI that centers on language-based text. Examples of LLM providers include OpenAI (GPT series), Anthropic (Claude series), Meta (Llama series), Google (Gemini) , Mistral AI (Mistral series), Cohere (Command series), and others. By 2030, the LLM global market size is projected to reach USD 35 billion, which represents a compound average growth rate of 36.9% from the current global market size of USD 7.36 million according to Grand View Research estimates.""
The ability of large language models to convince people they are human in spoken conversation is assessed, with emphasis on interactive, open-ended dialogue rather than written chat. Generative AI adoption surged from 33% to 71% of survey respondents between 2023 and 2024, reflecting rapid uptake across content types including images, video, sound, and text. Examples of LLM providers include OpenAI, Anthropic, Meta, Google, Mistral AI, and Cohere. Projections estimate the LLM market growing from USD 7.36 million to USD 35 billion by 2030, a compound average growth rate of 36.9%. Spoken dialogue may be more difficult for LLMs to emulate than written exchanges.
Read at Psychology Today
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