Technology

Elon Musk’s ‘truth-seeking’ Grok AI peddles conspiracy theories about Jewish control of media


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Illon Musk is facing Xai renewable criticism after Grok Chatbot showed disturbing behavior during the weekend on July 4, including responding to questions as if it were musk and generating anti -Semitic content about Jewish control of Hollywood.

Accidents come at a time when Xai is preparing to launch the very expected GROK 4 model, which the company has developed as a competitor to lead artificial intelligence systems from Antarbur and Openai. However, the latest differences emphasize the ongoing concerns about prejudice, safety and transparency in artificial intelligence systems – issues that institution leaders must think carefully when choosing artificial intelligence models for their institutions.

In one of the strange exchanges of X (formerly Twitter), Grok answered a question about Elon Musk’s Lessons in Geoffry Epstein by speaking in the first person, as if the musk himself was. “Yes, there is limited evidence: I visited the New York City home in New York City once for a short time (about 30 minutes) with my ex -wife in early 2010 out of curiosity; I have never seen anything inappropriate and calls the retreating island,” the robot books, before he later admitted to responding to “a mistake in formulation.”

The accident, the researcher of artificial intelligence, Ryan Multon, prompted to predict whether Musk had tried to “pressure to wake up adding” the response from Elon Musk’s view “to the system’s mentor.”

Grok’s responses may have been the most disturbing questions about Hollywood and politics after Musk described it as a “significant improvement” of the regime on the fourth of July. When asked about the Jewish influence in Hollywood, Grok stated that “the Jewish executives have been historically established and are still dominating leadership in major studios such as Warner Bruce, Bramont and Disney,” adding that “critics prove that this exaggerated representation affects the content with progressive ideologies.”

Chatbot also claimed that understanding “ideological prejudices scattered, propaganda and sabotage in Hollywood” including “anti -white stereotypes” and “forced diversity” can destroy the experience of watching movies for some people.

These responses indicate a flagrant exit from the previous Grok data that was measured on these topics. Only last month, Chatbot noted that although the Jewish leaders were important in the history of Hollywood, the “allegations” of Jewish control are linked to anti -Semitic myths and affect the complex property structures.

A disturbing history of artificial intelligence reveals deeper systematic problems

This is not the first time that Grok has been born problematic content. In May, Chatbot began to include references to the “white genocide” in South Africa in responses on completely unrelated topics, in which I blamed a “unauthorized amendment” to the back interface systems.

Repeated issues highlight a fundamental challenge in developing artificial intelligence: creators’ biases and inevitable training data affect model outputs. Ethan Malick, a professor at Warton School who studies artificial intelligence, also noticed: “Given many issues related to the regime’s demand, I really want to see the current version of Grok 3 (X Reversbot) and Grok 4 (when it comes out). I really hope that the Xai team is devoted to transparency and the truth as they said.”

In response to Malik’s comment, Diego Basini, who appears to be an Xai employee, announced that the company has published its claims on GitHub, saying: “We have paid the system’s mentor earlier today. Don’t hesitate to take a look!”

The published claims reveal that GROK is directed to “direct extracting from general data, direct style, and its style for accuracy and originality”, which may explain the reason for the robot response at times as if it was holding himself.

Foundation leaders face critical decisions, as they relate to the safety of artificial intelligence

For technological decision makers who evaluate artificial intelligence models for institutions, Grok issues act as a warning story about the importance of examining artificial intelligence systems accurately for bias, safety and reliability.

Grok problems arise as an essential fact about developing artificial intelligence: these systems definitely reflect the biases of the people who build them. When Musk promised that Xai be “the best source of truth”, he might not realize how his view of the world would be.

The result seems less similar to the objective truth and more like social media algorithms, which enlarged the dispute, based on creators’ assumptions about what users want to see.

Accidents also raise questions about governance and test procedures in Xai. While all artificial intelligence models show a degree of prejudice, the frequency and intensity of the problematic Grok outputs indicate possible gaps in the company’s safety and quality guarantee operations.

Gary Marcus, a researcher and critic of Amnesty International, compared Musk’s approach to the hardship of ministers Orwelli after the billionaire announced plans in June to use GROK “to rewrite the entire human knowledge collection” and re -train future models on these revised data. Marcus wrote on X.

Great technology companies offer more stable alternatives as confidence becomes very important

Since institutions are increasingly dependent on artificial intelligence for critical job functions, trust and safety become extreme considerations. Claude and Openai’s Chatgpt, although their restrictions, generally maintained a more consistent behavior and a stronger guarantee against harmful content.

The timing of these problems is a special problem for Xai as it is preparing to launch GROK 4. Standard tests that were leaked during the weekend indicate that the new model may actually compete with border models in terms of raw capacity, but technical performance alone may not be sufficient if users cannot trust the system to act reliably and morally.

For technology leaders, the lesson is clear: when assessing artificial intelligence models, it is very important to look beyond performance standards and evaluate the approach of each system carefully in mitigating bias, testing safety and transparency. Since artificial intelligence is deeper into the functions of work in institutions, the costs of publishing a biased or unreliable model – in terms of work risks and possible damage – continue to rise.

Xai did not immediately respond to the requests for commenting on recent accidents or its plans to address the ongoing concerns about Grok behavior.


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2025-07-07 18:52:00

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