Robin Williams already answered the AI slop problem, in 1997

A film scene from 1997 offers an unexpected framework for the current debate about AI-generated content. Jay Acunzo writes for jayacunzo.com that Robin Williams’ famous bench monologue in Good Will Hunting captures exactly what separates human creative work from AI output.

In the scene, Williams’ character Sean confronts Will, a young genius who can recite facts about art, war and love but has never actually experienced any of them. Acunzo draws a direct parallel: Will is “the human equivalent of ChatGPT,” full of knowledge but empty of lived experience.

Knowing versus living

According to Acunzo, AI tools can summarize the internet, but they cannot feel a room, endure loss or sit with grief. He argues this distinction matters for anyone producing content today, from bloggers to podcast hosts, because generic, tactic-driven advice increasingly looks and sounds the same, whether generated by a human or a machine.

The author extends the argument to Williams’ own performance, noting that no other actor would have delivered the same lines identically. Unlike scientific discovery, which he says would happen regardless of who makes it, art depends entirely on the individual synthesizing meaning from personal history.

Acunzo’s conclusion: creators should stop chasing tools promising shortcuts and instead draw more deliberately on their own experiences. He calls personal memories and perspective a kind of human “large language model,” one that AI cannot replicate. In a market flooded with generic advice, he writes, this remains the only real differentiator.