Navigating the Hallucination Issue in AI: A Look at GPT-4.5

Hallucination can be a problem in OpenAI's GPT-4.5, highlighting that the model fabricates information 37 percent of the time. We will compare GPT-4.5's hallucination rate with other models like GPT-4o and o3-mini, which have even higher rates of hallucination. There is a need for continued research and development to create more reliable and trustworthy AI models.

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The AI Maker

3/7/20252 min read

a person holding a tin canister with a alien alien
a person holding a tin canister with a alien alien

Artificial Intelligence (AI) has made significant strides in recent years, with companies like OpenAI leading the charge. However, despite the advancements, there are still notable challenges that need to be addressed. One such challenge is the issue of "hallucination" in AI models. This term refers to the tendency of AI systems to generate false or misleading information confidently. In this blog post, we will explore the content of a recent document discussing the hallucination problem in OpenAI's latest model, GPT-4.5.

OpenAI recently admitted that its new model, GPT-4.5, hallucinates more than a third of the time. According to the company's in-house factuality benchmarking tool, SimpleQA, GPT-4.5 fabricates information 37 percent of the time. This revelation is quite alarming, especially considering the company's valuation of hundreds of billions of dollars. If a human partner or friend made up information a significant percentage of the time, it would undoubtedly strain the relationship. Yet, for OpenAI's new model, this issue is being spun as a positive development because it hallucinates less frequently than previous models.

The document highlights that GPT-4.5's hallucination rate is lower compared to other models from OpenAI. For instance, GPT-4o, an advanced reasoning model, hallucinates 61.8 percent of the time on the SimpleQA benchmark, while the o3-mini model, a cheaper and smaller version, hallucinates a staggering 80.3 percent of the time. This comparison, while somewhat reassuring, still underscores the significant challenge of ensuring AI models produce accurate and reliable information.

The problem of hallucination is not unique to OpenAI. According to Wenting Zhao, a Cornell doctoral student who co-authored a paper on AI hallucination rates, even the best models can generate hallucination-free text only about 35 percent of the time. This statistic is a stark reminder that we cannot yet fully trust the outputs of AI models. The AI industry, despite its rapid growth and substantial investments, still faces fundamental issues in delivering reliable and truthful information.

The document also raises broader questions about the AI industry's trajectory. It points out the irony of companies receiving massive investments for products that struggle with basic factual accuracy. As OpenAI's large language models plateau in performance, the company appears to be grasping at straws to maintain the hype that surrounded the initial release of ChatGPT. To regain trust and credibility, the industry needs a real breakthrough, not just incremental improvements.

In conclusion, while AI has the potential to revolutionize various sectors, the issue of hallucination remains a significant hurdle. OpenAI's admission about GPT-4.5's hallucination rate is a step towards transparency, but it also highlights the need for continued research and development to address this problem. As we move forward, it is crucial for the AI industry to focus on creating models that are not only advanced but also reliable and trustworthy.

Cited: https://futurism.com/openai-admits-gpt45-hallucinates