Seth Abramson Rips Grok and Elon Musk in Viral Take, Calling Grok the Worst AI and Musk a Dangerous Grifter

By | June 2, 2026

In a highly charged post, commentator Seth Abramson argues that public praise for Grok—an AI product associated with Elon Musk—is often driven more by politics and self-interest than by objective performance. Abramson’s central claim is that Grok is “the worst AI by far,” and that people who cite or promote it on platforms like Twitter do so because it is likely to be wrong in ways that match their preferred narratives.

Abramson frames this as a broader pattern of misinformation and selective credibility. Rather than treating Grok as a reliable tool, he suggests that supporters circulate its outputs because the system’s errors will conveniently align with the viewpoint they already want to validate. In other words, he portrays Grok not as an impartial source of answers, but as an AI whose inaccuracy can be weaponized to reinforce partisan or ideological positions.

The post also escalates from criticism of an AI system to direct condemnation of Elon Musk himself. Abramson characterizes Musk as a “grifting piece of shit” and warns that Musk is dangerous to America. This language indicates the author’s belief that the implications of Musk’s influence—through technology, corporate messaging, and public attention—extend beyond mere product quality. Abramson implies that Musk’s behavior and motives pose a tangible threat, whether through the promotion of unreliable technology, the manipulation of public discourse, or the normalization of harmful narratives.

Abramson’s wording positions the message as both a personal warning and a call-out of the audience that amplifies Grok. He refers to having previously made similar claims and suggests that those earlier warnings remain relevant. The tone is confrontational and designed for virality, emphasizing that the speaker wants the public to remember what they have said about Grok’s shortcomings and about Musk’s perceived ethics.

The post is also presented as “breaking news,” though the substance is not a newly reported event in the traditional sense. Instead, it reads as a renewed and emphatic commentary on ongoing debates about AI reliability and the influence of high-profile technology figures on public sentiment. The “breaking news” framing likely serves to heighten attention and urgency, encouraging readers to view the remarks as timely rather than merely retrospective.

Within this context, Abramson’s critique of Grok functions on two levels. First, he directly challenges Grok’s technical or informational quality by calling it the worst AI “by far.” Second, he challenges the credibility of those who promote it, implying that their motivations are selective and politically aligned. Taken together, these points argue that Grok’s perceived usefulness is largely social and rhetorical, not grounded in accuracy or trustworthiness.

The post’s broader theme is the risk that public discourse can be distorted when people treat AI outputs as authoritative without accounting for error rates, bias, or incentives. Abramson suggests that AI systems can become tools for confirmation bias—especially when their inaccuracies are more likely to support what users already want to hear. This criticism resonates with wider concerns about AI and misinformation, where unreliable outputs can spread quickly and be defended through partisan framing.

Finally, Abramson’s attack on Musk suggests the author views the issue as part of a larger ecosystem of influence. Musk is not described as simply a CEO with a flawed product, but as someone whose actions are harmful and who engages in grift. Abramson’s mention of danger to America reinforces that the author sees consequences beyond consumer dissatisfaction—potentially involving the societal impact of shaping how people think, trust technology, and interpret information online.

Overall, the core message is a double condemnation: Grok is portrayed as exceptionally unreliable and its promotion as politically motivated, and Elon Musk is portrayed as unethical and threatening. The post is designed to provoke, rally, and reframe how readers evaluate AI systems and their high-profile backers.

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