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Ian Leslie on Being Human in the Age of AI

When OpenAI launched its conversational chatbot this past November, author Ian Leslie was struck by the humanness of the computer's dialogue. Then he realized that he had it exactly backward: In an age that favors the formulaic and generic to the ambiguous, complex, and unexpected, it's no

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Library of Economics and Liberty HostIan Leslie Guest

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Episode Summary

Executive Summary: Ian Leslie argues that ChatGPT and similar AI tools are alarming not because they become human, but because many institutions have already pushed people toward machine-like, formulaic behavior. From education to music, movies, and politics, algorithms reward generic, predictable output—so the real challenge is to preserve distinctiveness, authenticity, and human agency as AI improves at imitation.

Main Topics: AI as a mirror of human conformity (Priority: 5/5): Leslie’s core thesis is that AI succeeds by mimicking patterns humans have already standardized. The danger is less machine intelligence than our own tendency to write, speak, and create in algorithmic ways. Formulaic education and writing (Priority: 5/5): Roberts and Leslie discuss how schools often teach writing through rigid templates, producing bland work that resembles AI output. This educational style prioritizes safety, compliance, and grading ease over originality and depth. Music simplified by platform incentives (Priority: 5/5): They examine how streaming and production tools encourage shorter, simpler, more predictable songs. The decline of bridges and key changes symbolizes a broader flattening of emotional and harmonic complexity. Hollywood’s shift toward franchises (Priority: 4/5): The conversation covers how data analytics and risk aversion have led studios toward familiar intellectual property, especially superhero franchises, reducing surprise and narrative richness in mainstream films. Politics and social media as robotic discourse (Priority: 4/5): Leslie notes that online political reactions are increasingly repetitive and bot-like, with people using the same phrases and binaries. Social media reinforces conformity and makes discourse easier to automate. Human distinctiveness as future value (Priority: 5/5): As AI commoditizes generic output, distinctive voice, taste, and authenticity become more valuable in work and relationships. The speakers stress that the goal is not to beat machines at their game, but to be more human.

Key Arguments: ChatGPT’s strengths reveal how much human communication has already been reduced to rule-following and formulaic patterning. Educational systems often teach students to produce safe, standardized writing rather than thoughtful, original expression, making AI imitation easier. Streaming platforms reward songs that fit algorithmic preferences, contributing to shorter songs, fewer key changes, and fewer bridges. Mainstream movie production increasingly relies on analytics and franchises, favoring predictability over risky originality. Social media discourse encourages repetitive, binary responses that sound machine-generated, even when they come from real people. The best response to AI is not to imitate it better, but to cultivate voice, authenticity, and human presence. Generic people, writing, and art will decline in value as machines become better at generating averages and formulas.

Data Points: ChatGPT key changes in top 100 songs: 0 in many years of the last 10 - Leslie cites data showing key changes in the most popular songs have fallen to zero in several recent years. Top 100 songs with key changes during Beatles era: about 30% - Roberts and Leslie contrast modern pop with the Beatles era, when key changes were much more common. Timeframe of observed pop-song simplification: last 15–20 years - Leslie says pop songs have become simpler, shorter, and more predictable over this period. Historical horizon for formulaic education debate: at least 100 years - He notes concerns about industrial-style schooling predate AI by a long time. Key change peak after Beatles arrival: post-1963 - Leslie says key changes rose after the Beatles popularized more musically complex pop structures.

Pivotal Quotes: "the real question isn't whether the machines are going to imitate us, but how we are already imitating machines" — Russ Roberts: Roberts summarizes Leslie’s central argument at the start of the discussion. "Your voice is now really the most valuable thing about you." — Ian Leslie: Leslie explains why distinctiveness will matter more as AI gets better at producing generic content. "the bridge is therapy" — Sting: Quoted by Leslie to describe why a song’s bridge adds emotional and perspectival release.

Implications: Listeners should expect generic writing, music, and media to lose value as AI improves. The premium will rise on authenticity, originality, and human connection—especially in education, creativity, and everyday communication.

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