Capex Circuit

Why didn't AI slop start in 1962? The overlooked inflection point was not text generation. It was text distribution. In 1962, Librascope’s Auto-Beatnik ran on a vacuum-tube LGP-30 with 3,500 words and 128 sentence patterns. It generated lines such as “Broccoli is often blind” and “Communism is more porcelain than albino gold.” Output rate: about 5,000 poems per hour. The category already existed: low-cost synthetic text. What it lacked was an attack surface. A strange poem still needed a newspaper editor, a magazine column, or a person willing to spread it. Today, similar low-effort text can enter search pages, YouTube scripts, Reddit posts, Facebook comments, email, ads, and customer-service chats at near-zero marginal cost. The key metric is the crossover. Before ChatGPT, more than 98% of English-language articles online were written by humans. By fall 2024, Graphite estimated that machines were producing roughly half. This did not require AGI. It required acceptable prose, cheap generation, and platforms that reward scale. The counterintuitive implication: slop wins when quality is no longer the binding constraint. If a generated ad outperforms a human ad in a blind test, or a synthetic article captures search traffic for pennies, the system selects for whatever clears the minimum viable quality bar. The practical question for builders is narrow and uncomfortable: where does the product assume text is scarce, human, or expensive to fake? If the defense is “users can tell,” the model is already underpriced. newyorker.com/magazine/2026/…