this post was submitted on 04 Mar 2026
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That would be my bet, LLMs really gravitate towards playing along and continuing whatever's already written. And Gemini especially has a 1M long context so it could be going back for a book's worth of text and reinforcing it up the wazoo.
That said, there is something really unhinged about Google's Gemma series even in short conversations and I see the big version is no better. Something's not quite right with their RLHF dataset.
What is an rlhf data set?
Reinforcement Learning from Human Feedback
It's a method of fine-tuning and aligning LLMs which requires active human input