Chatbot ChatTJB Uses Humans, Not AI, to Answer Queries

Tucker Bryant, a 32-year-old former Google employee, has launched ChatTJB, a chatbot that mimics the functionality of advanced AI assistants but relies entirely on human input. The platform presents a standard chat interface where users submit questions, expecting an automated response. However, the "AI" in ChatTJB stands for "average individual," referring to Bryant himself and an expanding network of over 10,000 volunteers who manually process and answer these queries. This project began as an art installation commenting on the pervasive influence and perceived inevitability of artificial intelligence in the workforce. Since Bryant placed a $6,000 advertisement for ChatTJB on a San Francisco billboard, the platform has received more than 100,000 user prompts. The volunteer waitlist is reportedly growing by approximately 1,000 individuals daily, transforming Bryant's initial concept into a significant operational undertaking. ChatTJB was officially launched in April, adopting a minimalist design reminiscent of interfaces like ChatGPT, featuring a simple text box for user input and a subsequent response. Bryant amplified the project's satirical message by advertising ChatTJB on a billboard as a "leading chat interface powered by AI," with a footnote clarifying "average individual" as the "AI" component. This clarification was partially obscured by a tree branch in a photograph Bryant shared on Instagram, adding a layer of irony to the campaign. The billboard's placement in San Francisco, a city saturated with AI-related advertising, underscores the project's commentary on the current technological landscape. This initiative stands in contrast to the broader industry trend, exemplified by companies like Artisan, which have promoted messages such as "Stop Hiring Humans" in their advertising campaigns during 2024. Bryant's project offers a unique reversal of the prevailing AI narrative, where instead of machines emulating human capabilities, humans are engaged in tasks that simulate machine-like responses. The project's success in attracting a large volunteer base and user engagement suggests a public fascination with the underlying mechanisms of AI and a potential critique of the rapid, often unexamined, adoption of AI technologies. The sheer volume of submissions and the rapid growth of the volunteer pool indicate a significant public interest in interacting with a system that, while appearing automated, is fundamentally driven by human effort, thereby prompting reflection on the nature of intelligence, labor, and technological dependence.