Hacker News (AI, 50+ points)Article
Publish fake stats, get cited in LLMs
This is a serious vulnerability in how LLMs learn from the internet. Bad data published once gets baked into model weights and resurfaces in every inference after that. The exploit is cheap and the damage is permanent until model retraining. For builders: your LLM outputs are only as good as the web's worst information commons. For safety: this is a supply-chain attack vector that's hard to defend.