Why AI Writing Still Reads Like Slop — Louis-François Bouchard, Towards AI
Louis-François Bouchard of Towards AI breaks down what makes AI writing feel like slop: overused words, vague generalities, saying nothing, repetition, hallucination and a voice that sounds like everyone at once.
He then shows how his team built a benchmark to measure whether a model can write a video script in his own voice: 10 scripts, 5 drafts per model, 4 LLM judges, nine scoring metrics and 1,000 human A/B checks. He shares what it cost, why judges favor their own model family, and practical tips for writing with AI: very long prompts full of examples, one review pass from a strong model, many cheap drafts merged together, and always a human edit. Chapters: - 00:00 What is slop? - 02:41 Measuring sloppy writing - 03:49 Why build another benchmark - 05:44 Can a model write like me?
The text is the source's own description of its publication. The content belongs to AI Engineer.
More from AI Engineer
Inside Arca's Long-Horizon Agents That Run the Business - Aman Singh, Arca
AI Engineer 23 Oct
Real AI Agent Attacks and What Would Have Stopped Them — Andrey Rybka, Bloomberg
AI Engineer 23 Oct
Outside of tech there has been no financial payoff to US companies for using AI, now viewed as a margin-hurting cost center, as VC-backed firms burn more tokens
Techmeme 4 h ago
Source: Replit recently moved most AI spend from Anthropic to OpenAI, which gave 30%+ off in a deal worth $100M+/year, after Anthropic discontinued its discount
Techmeme 6 h ago