Episode 14: Put the Torch Down

What this episode is about

Spotting AI writing has become an internet sport. Someone sees an em dash or a tidy structure and starts a forensic investigation from the comments section, and now the platforms have handed everyone official tools to do it. This episode is about why "I can always tell" is almost never true, and why turning readers into unpaid AI investigators is a bad trade for everyone including the people who think they're winning.

In this episode

Why "seems like AI slop" is a process accusation, not a quality judgment, and what happens to actual criticism when we stop asking whether the argument held up. Three possible motives behind these features: money, engagement, and data. Substack's Pangram partnership sitting alongside its MCP connection that lets publication owners pipe their data into ChatGPT and Claude. Why human fingers on a keyboard are not an ethical standard. And the movement from statistical estimate to moral verdict, which is where the real damage happens.

HumanPrint homework

For one week, refuse to play AI detective. Don't scan anybody's work, don't accuse a writer, and don't use "sounds like AI" as your explanation for why something didn't land. Name the actual issue instead. Was the language generic? Was the argument unsupported? Was the story missing? Be specific. And notice what the platform is asking you to report, label, and classify on its behalf. You don't work for the detection department.