Is Another AI Winter Coming?

This article explores the current state of artificial intelligence, arguing that current expectations are overly optimistic. From the failed machine translation projects of the 1960s to the limitations of Large Language Models (LLMs) today, the author contends that while AI finds application in specific areas like medical image recognition, it remains far from a true 'thinking machine'. LLMs suffer from 'hallucinations,' frequently generating false information requiring extensive human fact-checking, a significant gap between reality and hype. Current AI applications in customer service and code assistance show promise but their profitability and broad applicability remain unproven. The author suggests that given the changing economic climate and inherent limitations of the technology, the AI field may face another 'winter'.