As powerful large language models (LLMs) become easier than ever to access, they have handed bad actors a cheap and fast way to flood the internet with spam. Anyone who has spent even a few minutes online in recent years knows the result: bot content and junk posts have become an even bigger headache than before.
Now Reddit says it is turning that same technology against the problem. The platform has built new tools powered by LLMs to cut down on spam—much of which was generated by LLMs in the first place. It is an ironic twist, but in the AI era, platforms increasingly have little choice but to fight fire with fire.
The Scale of the Problem
According to Reddit, the company blocks 23 million spam views every day and catches roughly 25,000 new spam posts and comments daily. Those figures underline just how relentless automated junk content has become across large social platforms.
Social networks have been building automated spam reduction systems for years, but Reddit says its updated tools are catching unwanted content at a higher rate than before. The company credits the improvement to the pattern-recognition strengths of modern language models.
Catching Subtle, Coordinated Behavior
"We leverage LLMs to catch the highly subtle, coordinated patterns of fake behavior and artificial hype that older systems once missed," the company said in a blog post. Reddit claims that between January and March it reduced users' exposure to spam by 20% compared with the previous three months.
The appeal of using LLMs for moderation is that they can spot the kind of nuanced, coordinated activity—such as manufactured hype or networks of fake accounts—that rule-based filters have historically struggled to detect.