"Plan" means a lot of things. There has been some research in applying GPT-4 to Hierarchical Task Networks (HTN), one means of doing computerized semi-automate

"Plan" means a lot of things. There has been some research in applying GPT-4 to Hierarchical Task Networks (HTN), one means of doing computerized semi-automated/automated planning of a complex task as a tree of less and less complex tasks [1]. There are other types of planning. Automated planning works better as there are more defined the tasks in a plan, less ambiguity in dependencies, more separate between the tasks. The OP article touches on that, noting LLMs are good at extracting planning knowledge but not good in their experience at creating executable plans. This is why I think the hybrid approach is best, using an LLM to inform and tweak other planning tools in order to create an executable plan. [1] https://github.com/DaemonIB/GPT-HTN-Planner https://github.com/DaemonIB/GPT-HTN-Planner