What happened
Reddit has deployed new tools that use large language models to combat spam on its platform. According to a report from TechCrunch AI, the company claims these systems are more effective at catching subtle, coordinated spam campaigns than older methods.
The platform reports it now blocks 23 million spam views and catches 25,000 new spam posts and comments each day. Reddit also stated these new tools reduced users’ exposure to spam by 20% between January and March of this year.
How the room's reading it
The consensus among platform watchers is that this is an inevitable, if ironic, development — fighting fire with fire. With generative AI making it trivial for bad actors to create spam at scale, platforms have little choice but to adopt the same technology for defence. The move is seen as part of a broader trend, with companies like Meta and TikTok also introducing policies and tools to manage AI-generated content.
However, platform integrity experts caution against seeing this as a silver bullet. The common wisdom, as noted by TechCrunch AI, remains that automated systems are most effective when paired with human moderators. The question isn't whether to use AI, but how to integrate it into a larger trust and safety stack.
Sailfish's take
This isn't just a story about spam — it's a signal that the baseline cost of running a user-generated content platform has permanently increased. We think the old playbook of heuristic-based moderation is now officially obsolete. Any service that allows user posts is now in an arms race against generative models, and the defender's costs are always higher.
What we're watching is the unit economics of this new reality. It's not enough to build a more accurate spam filter; you have to build one that's cheap enough to run at planetary scale. If you're building a community product today, your trust and safety stack is now an AI product, and you need to budget for it from day one.