4 Counter-Intuitive Truths About Building Smarter AI Agents

Next great leap in artificial intelligence is the creation of “agentic LLMs”; AI that can perform complex, open-ended tasks without direct supervision. Most current training focuses on static datasets and simple, single-turn tasks, like answering a single math question. This approach is fundamentally unsuited for teaching the long-horizon planning, trial-and-error learning, and iterative refinement needed for true agentic behavior.