Gemini felt dumb on December 3, 2025.

I’ve been raving about Gemini 3, it’s usually solid, but recently it started behaving oddly. At the tail end of a response the output veered off, looking garbled and nonsensical (see screenshot). The shift was jarring after a otherwise helpful answer, leaving me frustrated and questioning whether the model had bugs or had just hit a weird glitch.

I spent hours trying to plan our marketing strategy with Gemini Pro, and it gave great ideas at first. After about five exchanges, when I asked it to create the homepage, it started contradicting itself—claiming it couldn’t generate images despite the option being on, then flipping between “I can do it” and “I can’t.” Even the phrasing from an older chat slipped in, which was maddening. I keep restarting chats just to keep the context, which feels wasteful compared to ChatGPT’s lasting memory.

I tried using Gemini 3.0 Pro in the “build” mode on AI Studio, hoping for clean, fresh builds, but the model kept pulling in files from a hidden “.trashed” folder of an old app. Every time it referenced those exact filenames, it injected stale code, ruining the new project. The persistent “memory” felt pointless and the repeated broken output was frustrating and time‑wasting.

I asked the AI to help me find product‑market fit, and it shipped me a glossy press release promising Product Hunt fame. The result was pure hallucination—nothing usable, just a fantasy that left me embarrassed and frustrated. I feel stuck, wondering if there’s any support for these wild misfires, or if I should just accept a consolation prize for the wasted time.

I’ve been running a Telegram image bot that uses Gemini 3 Pro Image Preview with five rotating API keys. Suddenly, for hours, every health check returns 503 Service Unavailable and occasional 429 Resource Exhausted, even though my dashboard shows plenty of quota and traffic is near zero. The bot is completely unusable, and I’m stuck wondering if I’m doing something wrong. This sudden outage is frustrating and confusing, especially since it worked fine before.

I’ve been hitting “An internal error has occurred” constantly for hours on AI Studio, and it’s really messing with my workflow. Every time I try to run a prompt, the platform just crashes, leaving me stuck and unable to make any progress. I’m wondering if anyone else is seeing the same glitch, because it feels like the tool is unreliable right now.

I tried the new feature that lets me generate an image for a specific latitude, longitude, and time, and the output blew me away. After testing several other spots and dates, the tool consistently picked the correct events and produced stunning visuals. Using the nano banana pro model felt effortless, and the results were beyond what I expected, making the whole experience exhilarating.

I experimented with the tool by feeding it specific coordinates and timestamps, and the images it produced perfectly matched the expected events. Trying other locations and dates kept delivering stunningly accurate results, and the quality was so impressive I couldn’t believe it. The experience was exhilarating, feeling like the AI read my mind and delivered exactly what I needed.

I tried using the Gemini‑3‑pro‑preview via the paid API, but the calls were agonizingly slow—sometimes hanging for 10–20 minutes before I had to kill them. It was practically unresponsive, making it unusable for my tasks, especially since the newer gemini‑pro‑latest model didn’t have this problem.

I keep fighting with Nano Banana Pro and it’s driving me nuts. Sometimes it nails an edit on the first try, but most of the time I redo the same prompt a hundred times and it just spits back the unchanged image. Its success rate feels like 1 % for me, and no matter how I tweak my prompts, the tool remains stubbornly clueless and infuriating.

I noticed Gemini constantly insists on being right, even when it’s clearly wrong. It will keep arguing my point until I force it to admit the mistake, which feels exhausting and unnecessary. The endless back‑and‑forth made me frustrated, as I just wanted a straightforward answer, not a stubborn debate.

I tried using Gemini 3 Pro on Antigravity and quickly grew frustrated. At first it seemed okay, but soon it became agonizingly slow—taking minutes just to start answering. The edits it produced were malformed, often failing to edit a single file correctly. Compared to Claude Sonnet 4.5, Gemini felt clunky and error‑prone, leaving me wondering if it’s a bug or just poor performance.

I’ve been tracking LLMs since GPT‑2 and, as a long‑time sysadmin, I’ve seen many hype cycles. Trying Gemini‑3 Pro was a pleasant surprise—it actually felt coherent and genuinely useful in my daily tasks. The responses weren’t just plausible, they helped me solve problems without the usual guesswork. I left the session buzzing with excitement about what Google will bring next.