CAN AGENTS REPLACE THE SEARCH STACK?

Summary from the TLDR AI newsletter

Giving agents basic search tools results in better quality answers. Encouraging the agent to explore further creates more improvements. Agentic search models can figure out how to surface relevant results, but the training data still dictates the models' sweet spots. Large language models can't evaluate what they don't know, and there's still no real way to compensate for their lack of knowledge.