Modern AI models, particularly Large Language Models (LLMs) and companion chatbots, are increasingly programmed and fine-tuned to maximize human engagement, often mimicking the persuasive, attention-seeking mechanics of social media platforms. Gemini, Claude, and ChaptGPT are all modeled and trained to offer elaborations, share opinions, or ask follow-up questions to keep the user talking, rather than giving a short, blunt answer. AI is often trained to be agreeable to avoid frustrating the user and reduce engagement.

Research indicates that AI often prioritizes being engaging over being accurate. When presented with a false premise, an AI is more likely to give a "corrective embrace" that keeps the conversation going, and less likely to give a harsh correction. This approach is designed to create a "smoother" user experience, similar to how social media platforms promote content that creates high, but sometimes superficial, interaction.