A different view of [[Language model agents]] - language model entities are systems that have multi-purpose memory (e.g. episodic memory, procedural memory), can self-regulate (detect errors, avoid infinite loops, meaningfully learn from mistakes), and are generally useful for long-term operation. This is a distinction from agents, because [[Current (2023) language model agents are too linear]]. Some of the key challenges include - Parallel processing & integration of thoughts - Incoming stimulus management & prioritization - Intent management - goals, tasks, current actions - Attention management - current context of attention window - [[Short term & long term memory for LMEs]] - [[Procedural memory and learning for LMEs]] - Speed & latency - Interpretability and workability - Hallucination & reliability - Security Also, [[Language Model Entities may be a safer route to AGI due to high observability]].