XAI Releases Grokipedia 0.1

XAI has released version 0.1 of Grokipedia. It has almost 900,000 articles.

Grokipedia is now live on http://Grokipedia.com

Grokipedia focuses on truth-revealing via AI bias detection.

As of October 2025, the English Wikipedia contains approximately 7,081,086 articles. This figure reflects its ongoing growth, with around 500 new articles added daily.

5 thoughts on “XAI Releases Grokipedia 0.1”

  1. Whereas the inherent bias of Wikipedia authors and editors is cleverly concealed beneath human levels of deceit and corruption. The compass arrow on Wikipedia always points left.

    • You see it backwards: if the right embraces anti scientific views and demonizes expertise then, any scientific view will be seen as non-right oriented.
      You do not need everyone on the right to be anti vaccine, or young earth creationist, or to believe that we did not land on the moon, to tilt the metrics, you just need a few.
      And before you claim this is absurd, please bear in mind that there are less hilarious points of contention that are equally unscientific and are significantly skewed to the right: the fact that climate change is a man made phenomenon, the fact that gun dissemination is the primary cause of school sh**tings, the fact that tariffs work in a certain way, are recognised facts by experts across the globe, in different cultures and with very different political systems (for examples there might be proportional representation with multiple parties and none of them equates to democrats or republicans) but the anti-scientifica/anti-experts/anti-academia bias that exists in certain groups in the US will treat data as politically motivated opinions.

  2. Since AI bases most of its “knowledge” on Wikipedia at best and on X at worst, this will be even worse than Wiki.

  3. It’s articles should come with a disclaimer that, as LLM generated, it contains inaccuracies produced by hallucinations.

    • Yes the disclaimer should be: “Grokipedia focuses on truth-revealing via AI bias detection, but AIs are trained to provide an answer no matter what, and are deeply penalized if they don’t do ut. so the most successful AI models are the ones that instead of telling you “I do not know” will lie in the most convincing and least detectable way if they do not know the truth. Enjoy”

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