The Agentic Era: Planning and Memory
As LLMs saturate in reasoning capabilities, the battleground shifts to how these models interact with persistent state and execute multi-step plans in dynamic environments.
Context Window vs. Retrieval: Giant context windows are useful, but structured retrieval remains more efficient for complex reasoning.
Planning is the Bottleneck: Current models struggle with deep planning trees; search-based techniques like MCTS are bridging the gap.