If true that would suggest gemini/gemma would be great in a RAG situation where world model isn’t needed as it’s being spoonfed all the relevant information and less good at green field tasks.
That’s interesting to me because I have been struggling to understand how gemma4 is so good in my local use and how notebookLM does such a great job does when I give it project docs and yet gemini has always seemed behind claude when I use it cold for stuff.
GPT and Claude would work much better than Gemini, even if the direct feedback was sparse or diffuse.
However, the moment I gave Gemini a fast testing framework that gave it instant feedback, it would mill through all kind of problems.
Claude and GPT are seniors.
Gemini is a very motivated mid level.