LLMs Aren't Inevitable

The article argues that Large Language Models (LLMs) are not inevitable and that their future development is uncertain. The author, a researcher, shares their concerns that current LLMs are not robust to out-of-distribution data and may not generalize well to real-world scenarios. They also highlight the limitations of current LLMs in handling tasks that require common sense and the need for more research in this area. The author suggests that the field is moving quickly and that it's too early to make predictions about the future of LLMs.