LLMs, such as GPT-4, have emerged as transformative milestones in AI development. They are pre-trained on vast amounts of text data, allowing them to generate human-like text and provide solutions to various tasks, including language translation, text generation, and even coding assistance.

However, the believability of LLMs raises ethical concerns. Their ability to produce coherent and contextually relevant text can be exploited to generate misleading or harmful information. Furthermore, LLMs lack genuine understanding and consciousness, relying on statistical patterns rather than true comprehension.

So how close are the present day LLM agents to simulating human reasoning?

There are a few basic obstacles, according to a study titled: How Far Are We from Believable AI Agents- published by the Shanghai Jiao Tong University, National University of Singapore, and Hong Kong Polytechnic University.

According to it,  LLM-based robots are not yet able to replicate human behaviour with the same level of plausibility, especially when it comes to robustness and consistency. Their research attempts to assess the effectiveness of LLM-based agents and pinpoint possible areas where their development and application could be strengthened.