# Jaron Lanier: There Is No AI Demystifying technology is key to proper management. - **Source:** [Hacker News: Front Page](https://brifing.si/source/b07aa772-b1a0-4a76-aa18-719c6f9e2dde) - **Published:** 2026-07-20 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/c2ed278a-e3ca-4569-8f9b-21a64bec260e ## Opposition to the AI Term Computer scientist Jaron Lanier argues that the term 'artificial intelligence' is misleading and potentially dangerous. He believes this concept frames technology within a mythological narrative leading to misunderstandings. Lanier emphasizes we're at the dawn of a new technological era where proper understanding is crucial for governance. ## Cultural Influences and Fears Lanier notes how films like Terminator and Matrix have shaped AI perception, creating what he calls a technological mythology. Ironically, he observes that those pursuing AI dreams simultaneously fear it might bring humanity's doom, highlighting this cognitive dissonance in tech culture. ## Scientific Community Concerns Lanier references OpenAI CEO Sam Altman and other scientists who consider AI an existential risk. However, he points out these fears lack concrete scenarios, often revolving around abstract concepts like 'infinity' rather than tangible threats. ## GPT-4 and Large Models Lanier maintains that large language models like GPT-4 don't exhibit true intelligence. He describes them as sophisticated tools that statistically remix human-created content, challenging claims about their creative capabilities. ## Social Collaboration Model Defining AI systems as 'a new form of social collaboration,' Lanier compares them to advanced versions of Wikipedia or image search engines. He stresses all content originates from humans, with systems merely processing this existing material. ## The Flexibility Illusion Lanier explains that AI systems' apparent flexibility stems from simple mathematical operations. While correlations between billions of data points can produce unpredictable outputs, he clarifies this doesn't equate to genuine intelligence. ## Human-Centered Technology Highlighting how human choice remains integral in AI processes, Lanier interprets this as technology becoming more human-centric. He cites examples like students selecting from AI-generated essay options as evidence of this dynamic. ## The Problem of Digital Rigidity Lanier contrasts traditional digital systems' inflexibility with AI tools' adaptive nature. He views this adaptability as a positive development that reduces the need for humans to conform to technological constraints. ## Mythology Hinders Management Lanier argues that AI mythology limits our governance capacity. Rather than clinging to past dreams, he advocates understanding these tools as they truly are, suggesting this approach would enable smarter management strategies. ## A Pragmatic Perspective Viewing AI as 'tool' rather than 'creature' represents the most pragmatic approach according to Lanier. While this doesn't eliminate risks, he believes it reduces management errors and provides a clearer framework for addressing potential dangers. ## Creativity and Innovation Lanier positions AI systems as illuminators of human creativity rather than independent creators. He describes their achievement as revealing hidden concordances between human works, offering an alternative framework to evaluate the technology's success. ## A Call for the Future Lanier's arguments present a radical alternative in AI discourse. His claim that 'AI doesn't exist' ultimately serves as a call to build a more humane and responsible technological future through proper understanding and definition of these tools. ## Sources covering this story - https://www.newyorker.com/science/annals-of-artificial-intelligence/there-is-no-ai — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._