Why AI Is Still Confidently Wrong

After years of watching TV and films, I have absorbed unconscious patterns of often-repeated tropes. Rather than keep them to myself, I share predictions about characters and plot with anyone willing to listen. I am often wrong, sometimes spectacularly right, but always confident.

In other words, I behave just like a large language model (LLM).

Of course, real LLMs exhibit a depth of knowledge, speed of retrieval, fluency of recombination, and an inexhaustible ability to follow up that exceeds any human.

And yet, most of us have experienced a definitive response that is entirely false, a reference to a non-existent paper, or a financial summary that does not add up.

For business leaders embarking on AI automation, this is a critical consideration that hasn’t received enough airtime.