Part 3/10:
One of the more pressing issues is their propensity to inherit biases present in their training data, leading to skewed or problematic outputs. This challenge is compounded by their tendency to produce what is known as "hallucinations," where the AI fabricates information that is plausible yet entirely incorrect. Additionally, these models struggle with real-world knowledge and common sense, resembling individuals who have read extensively yet lack experiential understanding. Lastly, there's a linguistic bias; much of the AI landscape is dominated by English, resulting in lesser support for other languages.