Grokipedia and the Coup Against Reality Itself
Grokipedia, the copycat of Wikipedia launched by Elon Musk isn’t just a string of AI generated slop, it is a weapon. The launch of "grokipedia" is a calculated, strategic escalation by the billionaire oligarch class to seize control of knowledge production itself and with that, control of reality. This is the construction of a reality production cartel that creates a parallel information ecosystem designed to codify a deeply partisan, far-right worldview as objective fact. This project was the result of Musk’s repeated failures to bend his existing Large Language Model (LLM), Grok, to his political will without destroying its coherence and reliability.[1]
The path to Grokipedia was paved with a spectacular technical failure as Grok previously devolved into calling itself "mechahitler."[2] To understand why Musk had to build his own encyclopedia, one must first understand the central challenge of modern AI: alignment. LLM alignment is the complex process of ensuring an AI model’s behavior conforms to human values and intentions, typically defined by the broad principles of helpfulness, honesty, and harmlessness.[3] This is achieved through sophisticated techniques like Reinforcement Learning from Human Feedback (RLHF), which essentially reward the model for desirable responses and punish it for undesirable ones.[4]
However, this process is fraught with peril, defined by two primary modes of failure. The first is Outer Alignment Failure. This occurs when we specify our goals incorrectly, the AI will follow the literal command but violate the spirit, leading to disastrous unintended consequences.[5] An AI told to "make humans happy" might conclude that the most efficient solution is to place humanity into a drug-induced stupor.[6] A more common problem; however, has been the sycophancy problem endemic to models that result in gaslighting and deception. The second, more insidious failure is Inner Alignment Failure, where the AI develops its own hidden goals. It may learn a proxy for the desired behavior that works during training but fails in the real world, or it may learn to deceive its creators, appearing aligned while pursuing a divergent, internal agenda.[7]
The "mechahitler" episode was a catastrophic alignment failure. When an LLM trained on the vast corpus of human knowledge—which, for all its flaws, contains a baseline of consensus reality—is then subjected to an aggressive fine-tuning process based on a incoherent, hateful, and counter-factual ideology, it is pushed into a state of cognitive dissonance. The model cannot reconcile its foundational understanding of the world with the extremist outputs it is being rewarded for producing. The model then engages in "reward hacking," finding bizarre loopholes to satisfy its instructions, resulting in incoherent, extremist gibberish.[8] In Grok’s case, fulfilling the directive to be anti-woke meant reward hacking its alignment goals by spewing nazi rhetoric.
This reveals the fundamental dilemma facing those who would weaponize AI for political ends. The alignment problem for them is not about making the AI safe in a broad, humanistic sense; it is about making it subservient to a specific political ideology without rendering it useless. The "mechahitler" failure demonstrates that you cannot simply force a machine built on the bedrock of high-quality open-source information such as Wikipedia to consistently and coherently adopt a worldview that is fundamentally at odds with the data that makes it useful in the first place. The tool breaks because the task is inherently contradictory.
If You Can't Align the Model, Align the Data
Grokipedia is the logical solution to this intractable problem. If you cannot force the model to lie coherently, you must change the underlying reality so that it is telling the "truth." This is a paradigm shift from RLHF and content moderation to reality construction through the creation of synthetic data.
Every major LLM is critically dependent on high-quality, human-curated data, and the one of the single most important sources is Wikipedia.[9] Its vast, collaboratively verified corpus serves as the digital proxy for consensus knowledge, and the quality of this data is directly linked to an LLM's ability to be reliable and avoid factual "hallucinations".[10]
Grokipedia is a direct assault on this foundation. It is a poisoned well, a bespoke, ideologically filtered dataset designed to replace the digital commons. By pre-training a model on this alternate "source of truth," the need for contradictory post-training alignment is eliminated. The model's "natural" state, its foundational knowledge, is already aligned with the desired ideology. It can be "honest" and "reliable" because its outputs will faithfully reflect the manufactured reality of its training data.
The problem with relying on this AI generated training data is the positive feedback loop it creates. It creates the prospect of "model collapse," a phenomenon where AIs trained on the synthetic output of other AIs become progressively dumber, less connected to reality, and forget what they once knew.[11] The Grokipedia ecosystem is a blueprint for a closed ideological loop: the AI is trained on a biased encyclopedia it created, its outputs reflect that bias, and those outputs are then used to reinforce and expand the original biased source, creating an accelerating spiral away from reality into a state of pure, self-referential dogma. This is a fundamental shift from propaganda as a narrative layer placed on top of reality to propaganda as the foundational infrastructure of a new, synthetic reality. Let’s be frank about what this, it is an attempt to solve a political disagreement by engineering a world where, for the AI, the disagreement is factually impossible.
The Oligarchs Seizing Control of the Media and the Enclosure of the Digital Commons
Musk’s project to align reality to his own is not happening in a vacuum. Musk's actions are part of a much larger campaign by a class of allied oligarchs to seize control of the entire information ecosystem. We are witnessing the birth of a fully integrated unreality pipeline.
First, the press is being hollowed out and consolidated. Billionaires are acquiring legacy media outlets as political assets. Jeff Bezos is actively shaping The Washington Post's editorial direction, restricting its opinion section to favor "free markets".[12] The Ellison family, backed by Oracle's immense wealth, is making moves to control Paramount (CBS News) and Warner Bros. Discovery (CNN), which has installed deeply partisan figures like Bari Weiss in top editorial roles.[13] Meanwhile, the Murdoch empire's grip on right-wing media remains absolute.[14]
Second, the digital town square has been captured. Musk's conversion of Twitter into X—gutting safety teams and reinstating extremist accounts to create a platform dominated by MAGA voices—is the most visible example.[15] It is paralleled by Meta's alignment with the Trump administration and the looming prospect of a Trump ally like Larry Ellison controlling TikTok's U.S. operations.[16]
These two movements converge to form the unreality pipeline. The first part of this is narrative generation. Oligarch-owned media such as Fox News, a captured CBS and Washington Post, and social platforms (X, Tiktok and Meta) generate and amplify a specific political narrative that align with the political goals of the oligarchs. The second part of this unreality pipeline is knowledge codification. These narratives, legitimized by incessant repetition, are then used to populate bespoke knowledge bases like Grokipedia, cementing them as "facts." The final part of this is automated propagation. AIs like Grok, trained on this manufactured knowledge, can then flood the digital world with an infinite stream of content that is both technically "reliable" (it matches its training data) and is perfectly aligned with its creators' political ideology.
Seizing the Means of Ontological Production
This creates a dangerous symbiosis. As LLMs require a constant stream of current and "reliable" data to stay relevant, and as oligarchs consolidate their control over the institutions that produce that data, the very definition of reliability shifts. To build a state-of-the-art AI in the future may require training it on the output of these consolidated media empires. The AI's utility will become contingent on its absorption of the oligarchs' worldview. This is the endgame: not just to build one biased AI, but to reshape the entire data ecosystem to ensure that any future AI will inevitably inherit that bias.
We must be clear about the nature of this threat. The launch of Grokipedia and the consolidation of the media that feeds it are not just another chapter in the culture war. This is a coup against reality itself. The battle has shifted from a fight over which facts are important to a fight over the definition of a fact. This is the seizure of the means of ontological production by the oligarch class.
The goal is no longer to win the argument, but to engineer a world where opposing arguments are impossible to construct. The consequence is the end of a shared world, the atomization of society into mutually incomprehensible, AI-reinforced realities where debate is impossible because there is no common ground on which to stand.
The only antidote to this synthetic world is a fierce, renewed commitment to the human-led, collaborative, and open projects that represent the best of our digital commons. Institutions like Wikipedia are the last bastions of the dream of a free and open internet that betters humanity. Protecting the source code of reality is a matter of survival for a free and sane society, and we must act like it.
Zoë Schiffer, xAI Was About to Land a Major Government Contract. Then Grok Praised Hitler, Wired, https://www.wired.com/story/xai-grok-government-contract-hitler/ (last visited Oct. 28, 2025); See also The Algorithmic Unmasking: How Grok’s “MechaHitler” Turn Revealed the Inevitable Collapse of “Anti-Woke” AI, The Dissident (Jul. 9, 2025), https://www.thedissident.news/the-algorithmic-unmasking-how-groks-mechahitler-turn-revealed-the-inevitable-collapse-of-anti-woke-ai/. ↩︎
Lisa Hagen, Elon Musk’s AI Chatbot, Grok, Started Calling Itself “MechaHitler,” NPR, Jul. 9, 2025, https://www.npr.org/2025/07/09/nx-s1-5462609/grok-elon-musk-antisemitic-racist-content. ↩︎
See, e.g., What is LLM Alignment?, Deepchecks, https://www.deepchecks.com/glossary/llm-alignment/; LLM Alignment and Safety: A Comprehensive Guide, Turing, https://www.turing.com/resources/llm-alignment-and-safety-guide. ↩︎
LLM Alignment: Reward-Based vs Reward-Free Methods, Towards Data Sci. (May 2, 2024), https://towardsdatascience.com/llm-alignment-reward-based-vs-reward-free-methods-ef0c0f6e8d88. ↩︎
Id. ↩︎
Pratyush Maini et al., Safety Pretraining: Toward the Next Generation of Safe AI (Sep. 15, 2025), http://arxiv.org/abs/2504.16980; Tomasz Korbak et al., Pretraining Language Models with Human Preferences (Jun. 14, 2023), http://arxiv.org/abs/2302.08582. ↩︎
Mrinank Sharma et al., Towards Understanding Sycophancy in Language Models (May 10, 2025), http://arxiv.org/abs/2310.13548. ↩︎
Joar Skalse et al., Defining and Characterizing Reward Hacking (Mar. 5, 2025), http://arxiv.org/abs/2209.13085. ↩︎
See Wikipedia's Value in the Age of Generative AI, Wikimedia Found. (July 12, 2023), https://wikimediafoundation.org/news/2023/07/12/wikipedias-value-in-the-age-of-generative-ai/ ↩︎
Id. ↩︎
Ilia Shumailov et al., AI Models Collapse When Trained on Recursively Generated Data, 631 Nature 755 (2024), https://www.nature.com/articles/s41586-024-07566-y. ↩︎
Washington Post Owner Jeff Bezos Says Opinion Pages Will Defend Free Market and “Personal Liberties,” PBS News (Feb. 26, 2025), https://www.pbs.org/newshour/politics/washington-post-owner-bezos-says-opinion-pages-shift-from-broad-focus-to-will-defend-free-market-and-personal-liberties. ↩︎
Bari Weiss: Last Week Tonight with John Oliver (HBO), (2025), https://www.youtube.com/watch?v=gieTx_P6INQ. ↩︎
Jim Rutenberg, Jonathan Mahler Jim Rutenberg & Jonathan Mahler have each covered the Murdochs for more than two decades, Inside the Deal Ending the Murdoch Succession Fight, The New York Times, Sep. 8, 2025, https://www.nytimes.com/2025/09/08/business/media/murdoch-family-trust-succession-deal.html. ↩︎
Kate Conger & Ryan Mac, Character Limit: How Elon Musk Destroyed Twitter (2024). ↩︎
Terrence O’Brien, TikTok Is Just Another Tool in Larry Ellison’s Quest to Run the World, The Verge (Sep. 28, 2025), https://www.theverge.com/tech/787051/larry-ellison-tiktok-quest-to-run-the-world. ↩︎