Close Menu
    AI/ML

    About Alone Musk’s ‘Truth-Wanter’ Grocke AI pedals plotting the Jewish control of the media

    PineapplesUpdateBy No Comments7 Mins Read
    About Alone Musk’s ‘Truth-Wanter’ Grocke AI pedals plotting the Jewish control of the media

    Want smart insight into your inbox? Enterprise AI, only what matters to data and security leaders, sign up for our weekly newspapers. Subscribe now

    Alone muscus Xai After this, facing a new criticism Groke chatbot The July 4 holiday weekend performed disturbed behavior, including answering questions such as it was musk itself and was generating antisemitic material about Hollywood’s Jewish control.

    XAI prepares to launch its high anticipated as events Grocke 4 modelsThe company which is located as a competitor to lead anthropic and AI system from OpenIAI. But the latest controversy underlines constant concerns about bias, safety and transparency in the AI ​​system – issues that enterprise technology leaders should carefully consider when choosing the AI ​​model for their organizations.

    In a particularly bizarre exchange, a particularly ingredient exchange that was written on the X (East Twitter), the first person answered a question about the connection of the mask to Jeffrey Epstein, as if it was musk itself. “Yes, limited evidence exists: I once briefly visited the NYC house of Epstein with my ex -wife (~ 30 min) with my ex -wife in early 2010, which came out of curiosity, nothing unfairly and rejecting island was invited,” Bot wrote, later a “phrase error” was a “phrase error” before accepting the response.

    The incident inspires AI researcher Ryan Mouleton To guess whether Musk had tried to wake up by adding ‘alone musk’ to the system prompt by adding ‘Answer’. ,

    Perhaps after the musk described as “significant improvement” for the system on July 4, which were more disturbing Hollywood and politics for questions about Hollywood and politics. When asked Jewish effect in Hollywood,

    Chatbot also claimed that “including” including “conceptual ideological prejudice, promotion and destructive trops in Hollywood”Anti-white stereotypes“And” forced diversity “can ruin the experience of watching film for some people.

    These reactions mark a Stark departure from the previous, more measured statements on such subjects. Only last month, Chatbot said that while Jewish leaders have been important in the history of Hollywood, “Jewish control ‘claims are bound by antisemtic myths and oversee complex ownership structures.”

    A disturbed history of AI reveals deep systemic issues

    This is not the first time Groke has produced problematic material. In May, Chatbot started in terms of uninterrupted reference “White massacre“In South Africa fully unrelated topics, XAI blamed on one”Unauthorized amendment“For its backnd system.

    Recurring issues highlight a fundamental challenge in AI development: prejudice and training data of creators essentially affect model outputs. As Ethan MolikA professor at Wharton School, who studies AI, noted on X: “Given many issues with the system prumpt, I really want to see the current version for Groke 3 (X Uttbot) and Grocke 4 (when it comes out). In fact, hope is that the XAI team is devoted to transparency and truth as they said.”

    In response to Molik’s comment, Diego PasiniWho appears to have an XAI employee announces that the company had published its The system indicates on github,

    Printed signals suggest that the groke is instructed to directly attract and simulate the style for Elon’s public statements and accuracy and authenticity, “who can explain why the bot sometimes gives answers as it was himself musk.

    Enterprise leaders face important decisions as AI security concerns

    For technology decision-makers evaluating the AI ​​model for enterprise purposes, the issues of the grouke serve as a precautionary story about the importance of AI systems perfectly for prejudice, safety and reliability.

    Problems with grokes highlight a basic truth about AI development: these systems essentially reflect the prejudices of those who make them. When Musk promised Xai “The best source of truth so far“They would not have realized how their own world vision would shape the product.

    The result purpose looks less like truth and more like social media algorithms that users increase the divisive material based on the perceptions of their creators what users wanted to see.

    Events also question the governance and testing processes in XAI. While all the AI ​​models perform somewhat bias, the frequency and severity of the troubled output of the grouke suggests potential intervals in the company’s safety and quality assurance procedures.

    AI researcher and critic Gary Marcus compared Musk’s approach to an organic diocese after a billionaire, in June announced plans to revive the future model on the modified dataset. “Out from 1984 out from 1984. You can’t grocke to align with your personal beliefs, so you are going to write history to make suit your thoughts,” Marcus wrote on X.

    Major technical companies offer more stable options because the trust becomes paramount

    Since enterprises rely on AI for rapidly important business functions, trust and security become paramount ideas. Anthopropic Cloud And Openai’s PuffyWhile not without its limitations, it is generally maintained more consistent behavior and strong safety measures against generating harmful materials.

    The time of these issues is particularly problematic for XAI as it prepares to launch Grocke 4The benchmark tests leaked over the holiday weekend show that the new model can actually compete with the frontier model in terms of raw capacity, but technical performance alone can not be enough if the user cannot rely on the system to behave firmly and morally.

    For technology leaders, the lesson is clear: When evaluating the AI ​​model, it is important to look beyond the performance metrics and carefully assess the approach of each system for prejudice mitigation, safety testing and transparency. Since the AI ​​is integrated into the more depth enterprise workflows, the cost of deploying a biased or incredible model – in terms of both business risk and potential loss – continues to increase.

    XAI did not immediately respond to the requests for recent events or comments about its plans to overcome the ongoing concerns about the behavior of Groke.

    Share.

    Related Posts

    Add A Comment
    Leave A Reply