We have been told by management that we should make use of AI at work to “improve efficiency”. I was initially reluctant, but a friend told me I’d be surprised by how useful chatbots could be with certain tasks, so I decided to give it a go.
I think what you experienced is pretty common. Not just the positive initial impression followed by the realisation that the dazzling fluency and responsiveness sometimes belies major weaknesses, but also being confronted with what seems like deception. “Large language models are powerful tools that have demonstrated remarkable abilities in generating human-like text. However, like all AI technologies, they have limitations. One challenge with LLMs is ensuring factual accuracy,” he says.“By design, these models are not repositories of truth but rather pattern-recognising systems that generate responses based on probabilities derived from vast datasets.
In my own experience, I’ve found some of the assistants underpinned by these LLMs to be quite useful in answering questions that might take several – or even dozens of – traditional browser searches. But, like you, I’ve noticed inaccuracies, often followed by weird evasions.I once asked a chatbot about the derivation of a corporate buzzword and the response included the phrase “My former colleague, Lucy Kellaway, said that …” This seemed really odd.
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