"AI" is bad UX (buttondown.com)

A recent discussion highlights significant challenges associated with user experience (UX) in the adoption of AI technologies, particularly large language models (LLMs). The article argues that while there's a prevalent belief in the potential benefits of AI, many users struggle to understand and effectively interact with these systems due to their misleading anthropomorphic design. Although LLMs are presented as conversational partners, the intuitive expectations users bring to these interactions often clash with the models' actual capabilities, leading to frustration and misconceptions. This gap creates a deceptive user experience, where the promise of AI's utility is undermined by its performance. The significance for the AI/ML community lies in the realization that advancement in AI technology alone isn't sufficient; improving user experience is crucial for broader adoption. The article illustrates that those with prior programming experience can navigate LLMs more effectively, implying that tailored training and education may be necessary for the general public to reap the technology's full potential. Addressing these UX challenges could not only enhance user satisfaction but also ensure that the benefits of AI tools are accessible to a wider audience, ultimately shaping the trajectory of AI integration into various fields.