Natural language processing based on large language models (LLMs) is a booming field of AI research. After neural networks have proven to outperform humans in games and practical domains based on pattern recognition, we might stand now at a road junction where artificial entities might eventually enter the realm of human communication. However, this comes with serious risks. Due to the inherent limitations regarding the reliability of neural networks, overreliance on LLMs can have disruptive consequences. Since it will be increasingly difficult to distinguish between human-written and machine-generated text, one is confronted with new ethical challenges. This begins with the no longer undoubtedly verifiable human authorship and continues with various types of fraud, such as a new form of plagiarism. This also concerns the violation of privacy rights, the possibility of circulating counterfeits of humans, and, last but not least, it makes a massive spread of misinformation possible.

利用大型语言模型的自然语言处理是人工智能研究的一个繁荣领域。虽然神经网络已经证明在基于模式识别的游戏和实际领域中可以超越人类，但过度依赖LLMs会带来严重的风险，其中包括被用于生产虚假信息。这也引发了新的伦理挑战和各种类型的欺诈。

关于复杂大型语言模型的窘境（和优势）