Reddit is using LLMs to solve a problem LLMs largely created
Reddit says it is using large language models to better detect spam and coordinated fake behavior, much of which is also being generated with LLMs. The company says it blocks 23 million spam views per day and reduced users' exposure to spam by 20% from January to March compared with the prior three months.

As large language models become cheaper, faster, and easier to use, they are also making it simpler for spammers to flood the internet with low-effort content at scale. That shift is putting even more pressure on online platforms, where bot activity and synthetic engagement are already longstanding problems.
Reddit says it is responding by deploying LLM-based systems of its own to identify and reduce spam across the site. The irony is hard to miss: the same class of technology that has helped fuel a new wave of spam is now being used to contain it.
Reddit says newer AI tools are improving spam detection
According to Reddit, its anti-spam systems now block around 23 million spam views every day. The company also says it detects roughly 25,000 new spam posts and comments daily.
Automated moderation is nothing new for social platforms, and Reddit has relied on machine-driven tools for years. What the company is emphasizing now is that newer LLM-powered systems are better at spotting behavior that older models struggled to catch.
Reddit says it uses LLMs to identify more subtle and coordinated signs of fake activity and manufactured hype that previous systems often missed.
That matters because modern spam is not always obvious. Instead of repetitive scam messages or clearly automated posting patterns, platforms increasingly face content designed to look conversational, timely, and authentic. AI-generated spam can blend in more easily, making traditional rule-based detection less effective.
Reddit also says these efforts have led to measurable progress. The company claims user exposure to spam fell by 20% between January and March compared with the previous three-month period.
Why platforms are leaning further into AI moderation
Reddit’s approach reflects a broader reality across major internet platforms: as generative AI expands, moderation systems are being forced to evolve with it.
Several large platforms already permit AI-generated material under certain conditions. YouTube, Meta, and Instagram allow such content as long as users properly disclose it. TikTok has gone a step further by giving users controls over how much AI-generated content they want to see.
In that environment, the ability to quickly identify machine-made or machine-amplified content is becoming increasingly valuable. Faster detection can help platforms do more than just suppress spam. In theory, it can also improve how quickly they flag other problematic material, including posts that may violate rules around hate speech or similar harms.
AI may help, but it is not enough on its own
Even so, better AI detection does not eliminate the need for human oversight. Platform researchers and moderation experts have repeatedly argued that automated systems work best when paired with people who can review nuance, context, and edge cases that models often miss.
That means AI moderation is likely to remain a hybrid process rather than a fully automated one. Tools powered by LLMs may be useful for scale, speed, and pattern recognition, but human moderators still play a critical role in making judgment calls and handling difficult cases.
For Reddit, the current strategy is clear: if AI is helping create a more sophisticated spam problem, then AI may also be necessary to keep that problem under control. Across the social web, that logic is quickly becoming standard.