Comment by lsy

Research skills involve not just combining multiple pieces of data, but also being able to apply very subtle skills to determine whether a source is trustworthy, to cross-check numbers where their accuracy is important (and to determine when it's "important"), and to engage in some back and forth to determine which data actually applies to the research question being asked. In this sense, "deep research" is a misleading term, since the output is really more akin to a probabilistic "search" over the training data where the result may or may not be accurate and requires you to spot-check every fact. It is probably useful for surfacing new sources or making syntactic conjectures about how two pieces of data may fit together, but checking all of those sources for existence, let alone validity, still needs to be done by a person, and the output, as it stands in its polished form today, doesn't compel users to take sufficient responsibility for its factuality.