[SubiculumCode]

I do wonder about the role of test time compute in the blog post in terms of document understanding. A non reasoning output (or low test time compute setting) might easily misinterpret the text, but reasoning models can second guess, consider multiple objectives in turn, and can right the ship.

I note that Gemini 2.5 has one of the lowest confabulation/hallucination rates according to this benchmark [1], so am surprised by the results in the blog.

Also, I have found link hallucination and output quality improve when you restrict searches to, for example, only pubmed sources, and to provide the source link directly into the text (as opposed to Gemini deep research usual method for citation).

One reason, I think, is that unrestricted search will get the paper, the related blog posts and press releases, weight them as equal (and independent!) sources of a fact, when we know that nuance is lost in the latter, and maybe because it will then spend more test time compute in the quality sources, not the press-releases.

[1]https://github.com/lechmazur/confabulations/