Part 9/10:
In conclusion, while the dream of agentic AI seems tantalizingly close on the horizon, fundamental scientific challenges must be overcome before it can materialize into widespread practical technology. As DJ argues, understanding causation is a prerequisite for constructing effective AI agents, a sentiment corroborated by the established research from DeepMind.
However, hope remains for breakthroughs in causal modeling, particularly through advancements in reasoning models that might enhance our understanding of causality. Should such developments occur, it could signal a rapid progression toward creating the intelligent agents that enthusiasts envision.