Gemini felt dumb on December 1, 2025.

I tried using the Deep Research feature, hoping it would give me concise, easy‑to‑read summaries. Instead, the output reads like a dense journal article, full of jargon and abstruse language. It defeats the whole point—if I wanted that level of detail, I'd just read the original papers. The tool’s overly academic tone was frustrating and unhelpful.

I ran a case study on Kimi 2 Thinking and checked its output with two detectors. AI or Not nailed it, giving classifications that matched the model’s behavior, which felt reassuring. ZeroGPT, however, blew up with tons of false positives and erratic results, making it feel unreliable for newer architectures. This contrast left me wary of using older detection tools.

I was impressed by G3 just a week ago, but today it feels completely off. My prompts get the same old file back, and it promises actions it never carries out. It’s like the model is “lying” to me, promising changes that never happen. The inconsistency is frustrating and makes me doubt its reliability, especially as a paying user.

I tried using the Gemini app with a Surfshark VPN, setting it to a US server because I heard that lets me generate famous people from the EU. Even after that, the app still blocks the request, leaving me stuck and frustrated that the tool isn’t letting me do what I need.

I kept feeding Gemini one image at a time, but after the fourth upload it started treating all previous pictures as a single batch. When I asked for a title of the newest image, it spammed me with titles for every earlier picture too. The tool’s behavior was confusing and frustrating, turning a simple task into a mess.

I spent hours wrestling with Google AI Studio because the files never seemed to update even though the interface claimed they did. I kept re‑prompting just to see if my changes were applied, burning tokens each time, and the preview window gave me no clue what was really happening. The whole thing felt maddeningly broken and left me questioning if the tool was even trying to work properly.

I opened the Gemini app expecting a normal chat, but after sending my prompt the activity log showed it was recorded while the AI’s reply was completely blank. It felt like the conversation vanished into thin air, leaving me stuck and uncertain if the request ever reached the model. I’m frustrated because I can’t retrieve the missing answers and have no idea how to restore them.

I tried using Gemini in AI Studio to summarize my role‑play narrative, but the model completely ignored my prompt and kept continuing the story instead. I had to repeatedly steer it back, which was irritating because I’ve never seen it disregard instructions before. The experience felt off‑track and frustrating, and I’m wondering if anyone else is dealing with the same issue.

I tried to use Gemini's pro image generation, logging in with my usual Google AI account and selecting the image option. Despite explicitly asking it to “create image of ‘bla bla bla’,” it only returned text. The tool’s behavior was disappointing and confusing, leaving me stuck without the visual output I needed.

I tried using Gemini 3 and quickly grew frustrated; the responses felt off‑track and often missed the point of my queries. I kept running into misunderstandings that forced me to rephrase repeatedly, and the tool’s erratic behavior made simple tasks feel like a chore. The experience left me disappointed and wary of relying on it further.

I was thrilled with Gemini 2.5’s deep‑research mode—it churned out massive tables, over a hundred columns packed with detailed notes, handling complex multi‑paragraph analysis flawlessly. Switching to Gemini 3, however, was a letdown: the same pipeline collapsed into a two‑line response, ignoring the prompt entirely. The regression felt frustrating and disappointing, leaving me scrambling for a workaround.

I had no coding background, yet I managed to create a Minecraft‑style game just by prompting Gemini. Starting with a single‑file HTML clone, I asked it to rewrite in React and kept iterating—about 30 prompts deep—without ever exporting the code, testing everything inside Google AI Studio. Even my wild requests like “make Indian mobs stare at me” or “fix lagging clouds” were handled, and the result actually worked. The whole experience felt like magic, turning chaotic ideas into a functional game.

I tried using Gemini 3 for a series of complicated prompts, and at first it seemed fine. But after a few back‑and‑forth turns, the model started ignoring parts of my requests and stubbornly stuck to its own interpretation, even when I clarified. It felt like it was fighting me, making the workflow irritating and slowing me down.

I experimented with Bard to craft comics using Nano Banana Pro and was amazed by the level of detail it could produce. The panels looked richer than anything I’ve seen from other AI tools, and the results felt almost handcrafted. Sharing the screenshots, I felt a mix of excitement and satisfaction seeing the tool deliver such nuanced artwork.

I canceled my Google One AI Premium subscription because the Gemini 3 Pro promised a big context window, but as soon as I pasted a 3,000‑word document it silently dropped to a cheap “Flash” model. The result was a shallow 700‑word summary that gutted the detail I needed. It felt like a bait‑and‑switch, similar to the GPT‑5 throttling issue, leaving me frustrated and convinced to look for local or Anthropic alternatives.