AI is code – and can't be prompted into being smarter (www.theregister.com)

A recent discussion highlights the intrinsic limitations of AI models, emphasizing that they cannot be simply prompted to become more intelligent. This assertion stems from the understanding that AI, including advanced models like Large Language Models (LLMs), operates within the boundaries set by their underlying code and training data. The article argues that while LLMs can process vast amounts of information and generate human-like text, they do not possess the ability to enhance their intelligence or understanding autonomously through external prompts. This revelation is crucial for the AI and ML community as it underscores the importance of robust training methodologies and ethical considerations when deploying AI systems. Given that these models rely heavily on their programmed logic and the quality of training data, the risk of “hallucinations” and misinformation persists, especially in critical applications. As organizations increasingly integrate AI tools, this insight serves as a reminder of the need for careful oversight and responsible development practices to mitigate potential risks associated with AI-driven technologies.