Elon Musk’s Grokipedia, the AI-powered alternative to Wikipedia launched by his xAI team, may not be a complete overhaul of the online encyclopedia, but it does offer some surprising improvements in specific cases. While the project is clearly shaped by Musk’s stated goal of creating an “unbiased” version of Wikipedia—free from what he calls “wokism”—its actual performance reveals a more nuanced picture. In politically charged topics like “Elon Musk” or “gender,” Grokipedia delivers predictable, ideologically driven content that aligns with its self-proclaimed neutrality. These entries are less about facts and more about framing, which makes them suspect and hard to take seriously. But when it comes to less controversial subjects, especially those with sparse or poorly structured Wikipedia pages, Grokipedia often shines. For example, the Wikipedia entry for Dana Hall School, a prestigious girls’ private school in Massachusetts, reads like a patchwork of disconnected facts and bullet points. In contrast, Grokipedia presents a well-organized, comprehensive overview with clear sections on history, academics, admissions, facilities, and impact. It’s not just longer—it’s better structured and more coherent. This kind of improvement likely comes from AI’s ability to scan the web, gather reliable information from various sources, and synthesize it into a readable format. Another example is the entry for Baroness Marie Vetsera, a minor figure in 19th-century European history. While Wikipedia has a solid entry, Grokipedia’s version is more narrative-driven and reads like a mini-biography. It tells a clearer story of her life and death, though it does include questionable citations—like one from a Facebook page about royal history that appears to be AI-generated clickbait. The real value of Grokipedia may not be in replacing Wikipedia, but in showing what’s possible when AI helps improve content. Many Wikipedia articles—especially on small towns, niche institutions, or lesser-known historical figures—are underdeveloped, inconsistent, or outdated. AI tools like Grokipedia can identify gaps, pull in relevant information from credible sources, and present it in a more organized way. Jimmy Wales, Wikipedia’s founder, has expressed openness to AI assistance. He envisions a future where editors use AI to flag missing facts or suggest improvements based on existing sources—then verify and add them manually. This hybrid model could preserve Wikipedia’s collaborative integrity while boosting quality and consistency. Grokipedia isn’t ready to be a go-to source for facts, and its political leanings and occasional errors are red flags. But it does offer a useful test case. If Wikipedia can learn from Grokipedia’s strengths—better structure, more complete information, and faster content development—while avoiding its pitfalls, the result could be a stronger, more dynamic encyclopedia for everyone.