"AI has made it trivially easy to produce content, and the result is a flood of generic, shallow material that exists to fill space rather than help anyone. People have started calling this "AI slop," and the term captures something real. Recycled tutorials, SEO-bait blog posts, content that says nothing you couldn't get by asking a chatbot directly. There's a lot of it, and it's getting worse."
"You can see it every time you search for something technical. The same generic "getting started" guide, rewritten by dozens of different sites (or quite possibly the same AI), each adding nothing original. Shallow tutorials that walk through the basics without any insight from someone who has actually used the technology in practice. Content that was clearly produced to fill a content calendar rather than to answer a question anyone was actually asking."
AI makes it trivial to produce large volumes of generic, shallow content that fills space rather than helps readers. Recycled tutorials, SEO-driven posts, and chatbot-style answers saturate search results and reduce signal quality. Backlash against widespread low-quality output is justified, and developers rightly apply skepticism to assess expertise. However, reflexive dismissal of any AI-involved content risks discarding genuinely useful material. Not all AI-assisted output is the same: some content is mass-produced for metrics while other content uses AI to accelerate, synthesize, or augment human expertise. Evaluation should focus on usefulness and evidence of practical experience rather than the mere presence of AI.
Read at Grahamdumpleton
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