LLM's cannot be deployed at scale (doing things independently) and cannot operate without supervision. Their most appropriate and effective use case is as an as

LLM's cannot be deployed at scale (doing things independently) and cannot operate without supervision. Their most appropriate and effective use case is as an assistant to a human who recognizes their limitations and acts as a final filter on their output. It is ironic that after decades of technology taking on more and more independent roles and functions, this most advanced form of technology, this culmination of decades of research and engineering across multiple domains, is almost entirely dependent on human guidance and handling to be of any use.