Gemini felt dumb on February 13, 2026.

I tried Claude and ChatGPT and kept hitting dumb answers, but Gemini felt different – it actually seemed smart. I’ve been using it daily for everything from simple queries to complex coding tasks, and it consistently delivers full, useful responses. My friends noticed the jump in quality too, so one of them even switched over, impressed by how smoothly it works.

I tried using Gemini and it just froze on an endless loading animation, never giving a response. The experience was maddening because I couldn't get any answers, and it felt like the tool was completely broken. I ended up abandoning it entirely, frustrated that such a core feature failed so badly.

I kept hitting the Gemini CLI’s endless loops and bizarre hallucinations, getting nothing useful back. I tried hard to champion the tool for my team, but the constant crashes and the product lead silencing criticism drove me nuts. It felt like a waste of time, especially watching OpenAI actually deliver value while Google stumbles over the same basic issues.

I was trying to continue old conversations in AI Studio when suddenly every request returned “Failed to generate content” and “an internal error occurred.” It happened regardless of the model I picked, and it’s been going on for hours, making the tool feel broken and unreliable. Starting a new chat works fine, but being stuck with the old threads is really frustrating.

I’ve been using Gemini mostly for research and to script automation, and it’s pretty solid—rarely any hiccups. Sure, it’s not flawless, but it gets the job done without the drama I see in other threads. Seeing people freak out when it briefly goes down made me wonder what truly outperforms Gemini, since my own experience has been largely hassle‑free.

I tried using Gemini today and every single query just hung, the loading circle spinning forever with no answer. It was maddeningly useless, leaving me stuck and unable to get any information. The tool's behavior was frustrating and felt like a total failure, making me doubt Google's maintenance of the service.

I tried Gemini’s image generator with a “1943 German soldiers” prompt and got a mixed‑ethnicity Wehrmacht unit that looks historically off. I’m left wondering if the model is still over‑balancing representation or if I’m missing context. The result felt inaccurate and a bit frustrating, especially after the recent backlash.

I ran a data‑science test on the new Deep Think (Gemini 3.1 Pro) and the latest GPT 5.2 Pro. Deep Think felt noticeably better than its older version, yet its surrounding harness still left me hanging—often clunky and unreliable. By contrast, GPT 5.2 Pro took its time, leveraged tools smoothly, and actually delivered a full end‑to‑end solution. The contrast was striking, leaving me impressed with GPT but frustrated that Deep Think isn’t quite there yet.

I tried to get NanobananaPRO to generate images in any familiar art style—like the Simpsons—and nothing happened. The tool just flat‑out ignored my prompts, leaving me stuck. It feels like the model was severely nerfed; I can’t even experiment or have fun making pictures for friends and family, which is really disappointing.

I tried using Gemini for quick “vibe coding” and it felt pretty slick at first, but as soon as I moved into an iterative loop—prompt, generate, edit, then prompt again—it started overwriting my manual fixes. The model ignored my changes and reverted to its own original logic, which was really frustrating and made serious bug fixing feel impossible.