In my recent exploration of language models (LLMs), I had the opportunity to try out Google Gemini and compare it with Microsoft Copilot. First, I asked each LLM to generate text about human lives 6000 years ago. To my surprise, Copilot decided to focus on the roles of women during that era - an aspect I hadn’t explicitly requested in my query. In contrast, Google Gemini provided a more clean and polished answer, focusing on the general aspects of human life six thousand years ago without making assumptions about gender roles.

Will try to post interesting stuff