Honestly, Gemini has been extremely disappointing for me lately. I’ve been using it for about a month, and even basic things often require me to explain the same instructions over and over again. For example, I asked it around 10 times to create a PDF file for me. About 9 times, it simply told me that it couldn’t do it and suggested that I use Google Docs instead. The one time it actually managed to generate a PDF, the result was basically unusable and far from what I asked for. The same problem happens with other tasks as well. It frequently forgets or ignores instructions that I’ve already explained multiple times, which makes working with it unnecessarily frustrating and time-consuming. On top of that, the amount of usage it consumes feels unnecessarily high, especially considering how much I actually get done with each request. I often feel like I’m wasting my usage limit just trying to get Gemini to understand or correctly execute relatively simple tasks. What makes the comparison even worse is that I’ve been using GPT extensively for similar work, and I haven’t even hit the usage limit once. GPT has been able to handle essentially all of the tasks I’ve needed, including more complex ones, without requiring me to repeatedly explain basic requirements. So after using both for a while, my experience has been that Gemini is not only less reliable for my workflow, but also significantly less efficient with its usage. I expected Gemini to be much better, especially because of its integration with Google’s ecosystem, but so far, the actual experience has been pretty disappointing. submitted by /u/DrlNoV
Originally posted by u/DrlNoV on r/ArtificialInteligence
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