I use several AI models at work, switching between them based on which

is best at the kind of work I'm doing. In my limited testing I've

found Opus 4.6 to be the best coder (via Claude Code) and has the best

taste in writing, while GPT 5.2 Thinking is mildly smarter. Gemini

3.0 Pro feels like it has the capacity to be much smarter, but is very

often held back by various strange errors. The one I see the most is

that it has a lot of trouble accepting the changes to the world since

its training data, and seems to put a lot of effort into keeping track

of everything as a giant hypothetical.

For example, the first query I thought to test this on in writing this

post was [Who leads the Department of War?] and it gave the reasonable

answer "The Department of War is currently led by Secretary of War

Pete Hegseth," followed by a short explanation. But if I open up the

thinking it spent some of its processing time being very confused:

...

These "news" snippets from sources like "Ocean State Media" and

"SpaceForce.mil" are throwing up red flags. The [...]

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February 13th, 2026

https://www.lesswrong.com/posts/ycHjk2o66PuzmYXuA/gemini-s-hypothetical-present