I thought DeepResearch has the AI driving the process because it's been trained to do so vs DeepSearch is something like langchain + prompt engineering?
There are three different launched commercial products called "Deep Research" right now - from Google Gemini, OpenAI and Perplexity. There are also several open source projects that use the name "Deep Research".
DeepResearch (note the absence of the space character) is the name that Han Xiao proposes for the general pattern of generating a research-style report after running multiple searches.
You might implement that pattern using prompt engineering or using some custom trained model or through other means. If the eventual output looks like a report and it ran multiple searches along the way it fits Han's "DeepResearch" definition.
Maybe for the same reason JavaScript is named Java Script and looks like Java (instead of being Scheme which it almost was, twice)? That is, purposeful name collision with an existing tool/buzzword that's very popular with non-technical management and corporate executives.
I mean, these companies have enough issues with branding and explaining the differences between AI products, even those they provide (GPT-4, o1, o3-mini, etc. - do most openAI users know the differences between them or what they each specialise at?).
I guess they will take any opportunity to follow the leader here if they worry that they're at risk of similar branding issues here too.
