"As artificial intelligence has become a mainstream and ubiquitous tool for hundreds of millions or even billions of people around the world - specifically, through chatbots and large language models (LLMs) like Claude, Gemini, ChatGPT, Llama, and many others - it's both enabled new pathways for problem solving and also led to new pitfalls for students, early career professionals, and non-experts seeking to mimic the illusion of expertise."
"While many who create, sell, or promote LLMs laud their use cases, a significant worry has arisen among students, teachers, professors, and education researchers: that students are not using these artificial tools to enhance their learning, but rather to replace it, outsourcing the hard and rewarding work of critical thought to these LLMs simply by prompt-hacking them."
Artificial intelligence through chatbots and large language models (LLMs) like Claude, Gemini, ChatGPT, and Llama has enabled new problem-solving pathways while creating pitfalls for students, early-career professionals, and non-experts attempting to mimic expertise. Many creators and promoters emphasize LLM use cases, but students, teachers, professors, and education researchers worry that students often replace learning by outsourcing critical thinking via prompt-hacking. This behavior shortcuts intellectual development and replicates historical patterns of cheating. The scale, impact, and most affected groups remain questions, and the goal of education stays gaining deep understanding rather than merely producing correct answers.
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