During a recent livestream showcasing its new AI model, GPT-5, OpenAI faced major criticism for presenting inaccurate charts. These mistakes included discrepancies in data representation, notably misleading comparisons of the deception rates between GPT-5 and the OpenAI o3 model. CEO Sam Altman labeled the incident a “mega chart screwup,” and the company later apologized for the “unintentional chart crime.” While the focus was on GPT-5’s capabilities, these errors sparked discussions about the reliability of tech demonstrations. Historical parallels were drawn with previous AI launch mishaps, such as Microsoft’s Bing chatbot and Google’s Bard, which also encountered flaws during presentations. Despite the oversight, OpenAI promptly addressed the mistakes in their blog post. This incident highlights the importance of accuracy in data visualization, especially for leading AI companies, and stresses the need for meticulous scrutiny in tech demonstrations to maintain credibility and trust among users in the fast-evolving AI landscape.
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