We present this article as a small gesture in an attempt to counter what appears to be exponentially growing hype around Artificial Intelligence (AI) and its capabilities, and the distraction provided by the associated talk of science-fiction scenarios that might arise if AI should become sentient and super-intelligent. It may also help those outside of the field to become more informed about some of the limitations of AI technology. In the current context of popular discourse AI defaults to mean foundation and large language models (LLMs) such as those used to create ChatGPT. This in itself is a misrepresentation of the diversity, depth and volume of research, researchers, and technology that truly represents the field of AI. AI being a field of research that has existed in software artefacts since at least the 1950's. We set out to highlight a number of limitations of LLMs, and in so doing highlight that harms have already arisen and will continue to arise due to these limitations. Along the way we also highlight some of the associated risks for individuals and organisations in using this technology.

翻译：我们撰写本文，旨在以微薄之力对抗当前围绕人工智能（AI）及其能力呈现指数级增长的炒作，以及因AI可能具备感知能力与超级智能而引发的科幻场景讨论所带来的干扰。本文亦有助于非专业人士更深入了解AI技术的一些局限性。在当前流行话语语境中，AI默认指代基础模型和大型语言模型（LLMs），例如用于创建ChatGPT的模型。这本身就是对真正代表AI领域的研究多样性、深度、广度、研究人员及技术的误读。AI作为一个研究领域，自至少20世纪50年代以来便存在于软件制品中。我们致力于突出LLMs的一系列局限性，并以此揭示这些局限性已导致并将持续导致危害。同时，我们还将指出个人和组织在使用该技术时面临的一些相关风险。