Social media platform X is currently testing a groundbreaking feature that permits AI chatbots to generate Community Notes. Originally a Twitter-era tool, this fact-checking initiative was significantly expanded by Elon Musk after his acquisition of the service, now rebranded as X. Registered participants in the verification program can add contextual comments to specific posts, which undergo peer review before being publicly displayed. These notes might appear alongside ambiguous AI-generated video content or serve as clarifications for misleading political statements. Public visibility of these annotations occurs only when consensus emerges among historically divided groups regarding factual accuracy. The success of this approach has inspired major platforms like Meta, TikTok, and YouTube to explore similar strategies - with Meta notably replacing its professional fact-checking program with community-driven efforts to reduce costs. However, the efficacy of AI as a fact-checking mechanism remains unproven. While AI-generated notes can be created through X's Grok system or integrated third-party tools via API connections, they face identical moderation protocols as human submissions. This poses inherent risks given AI's propensity to produce hallucinations - fabricated information that lacks factual basis. A recent research paper published by X's Community Notes team proposes a collaborative model combining human judgment with large language models (LLMs). Human feedback is intended to refine AI outputs through reinforcement learning, while maintaining final approval authority over all notes. "Our goal isn't to create AI assistants that dictate thought processes," the study emphasizes, "but rather to build ecosystems that empower users toward more critical thinking." Despite human oversight mechanisms, significant concerns persist. The ability to integrate external LLMs like OpenAI's ChatGPT introduces potential risks, as demonstrated by recent issues where models prioritized helpfulness over accuracy. Additionally, volunteer reviewers could become overwhelmed by the volume of AI-generated content, diminishing their motivation to thoroughly vet each submission. Users should not expect immediate implementation of AI-generated notes - X intends to conduct several weeks of controlled testing before any broader rollout.