Kim Kardashian Finds ChatGPT's Limits in Pursuit of Law Degree

Kim Kardashian's Unlikely Frenemy: A Cautionary Tale of ChatGPT's Limitations Kim Kardashian's foray into the world of law has hit a roadblock, courtesy of her trusty sidekick, ChatGPT. In a recent interview, the reality TV star and aspiring lawyer revealed that her reliance on the AI chatbot has led to a string of failed law exams. "I use ChatGPT for legal advice, so when I am needing to know the answer to a question, I will take a picture and snap it and put it in there," Kardashian said, only to lament, "They're always wrong. It has made me fail tests. And then I'll get mad and I'll yell at it and be like, 'You made me fail!'" This confessional from Kardashian highlights the perils of relying on AI for critical tasks, particularly in fields like law where accuracy and precision are paramount. ChatGPT, a large language model (LLM), has been hailed as a revolutionary tool for generating human-like responses to a wide range of questions and prompts. However, its limitations have also been exposed, with many experts warning of its propensity for "hallucinations" – or generating fake answers that may not be factually accurate. The technology behind ChatGPT is rooted in machine learning, where the model is trained on an enormous dataset and prompted to predict the most likely response to a given input. While this approach has led to impressive results in areas like language translation and text summarization, it also means that the model is not necessarily programmed to know what information is correct or not. Instead, it relies on patterns and associations learned from its training data, which can sometimes lead to errors. Kardashian's experience is not an isolated incident. Lawyers have been sanctioned for using ChatGPT to write legal briefs, with the model's tendency to cite non-existent cases becoming a red flag for those reviewing the documents. This raises important questions about the role of AI in the legal profession and the potential consequences of relying on unverified information. "I think it's a classic example of the 'garbage in, garbage out' problem," says Dr. Joanna Bryson, a computer scientist and AI ethicist. "If you're training a model on a dataset that's biased or incomplete, you're going to get biased or incomplete results. And in a field like law, where accuracy is paramount, that can have serious consequences." Kardashian's approach to dealing with ChatGPT's limitations is telling. "I'll try to appeal to its emotions after it lets me down," she said, only to acknowledge that this is a futile plan. "It's not like it's going to say, 'Oh, I'm sorry, Kim, I made a mistake.'" This dynamic highlights the complex relationship between humans and AI, particularly when it comes to tasks that require critical thinking and judgment. While AI can process vast amounts of information and generate responses at incredible speeds, it lacks the nuance and contextual understanding that humans take for granted. As the use of AI in various industries continues to grow, it's essential to acknowledge its limitations and potential pitfalls. Kardashian's story serves as a cautionary tale, reminding us that even the most advanced technologies can fall short when it comes to critical tasks. Looking ahead, experts predict that the development of more advanced AI models will continue to push the boundaries of what is possible. However, it's also crucial to prioritize transparency, accountability, and human oversight in the use of AI. By doing so, we can ensure that these powerful tools are used responsibly and for the greater good. As Kardashian herself might say, "You made me fail" – but only if we fail to recognize the limitations of AI and take steps to mitigate them.