Gemini felt dumb on February 19, 2026.

I noticed the new model is a bit sharper and follows instructions better, but it feels like it lost its creative spark. The output is more polished, yet when I try to get it to produce quirky or “bad” writing, it struggles. It’s a mixed bag—more obedient, but the lack of soul makes the experience less enjoyable.

I tried Gemini 3.1 Pro expecting the usual smooth, emotionally aware prose, but the output felt flat and tone‑deaf. My attempts at creative writing kept hitting bland, robotic sentences, and the model’s EQ responses were off‑kilter, missing nuance I relied on before. The regression was disappointing and made the whole experience feel frustratingly under‑whelming.

I kept waiting for Build Mode to start coding, but it just stalled for almost an hour before flashing a token‑limit error. Even a simple “Hello, say hi to me” got stuck in endless thinking. The whole experience was maddening—nothing happened, I felt the tool was broken and wasted my time, and I’d love a refund.

I tried Gemini 3.1 Pro with the Opencode desktop client and was surprised by how quick it was and how faithfully it followed my prompts—something that used to irritate me with the earlier Gemini 3.0. I loved feeding an entire codebase from Codex in a single prompt and getting back a thorough, line‑by‑line review. The massive token window makes Gemini feel like a serious new tool for my coding workflow.

I signed up for Gemini Pro expecting unlimited access, but after just about ten messages I hit a rate‑limit wall—even though I'm on the paid tier. The sudden block was bewildering and stopped me in mid‑conversation, making the tool feel unreliable and frustrating when I needed it most.

I’ve been using Gemini’s Nano Banana Pro on the Pro plan for months, and it used to give a crisp 1 MP preview that later rendered in sharp 2 K after downloading. Lately, every prompt only returns the low‑res 1 MP version, and it’s blurry as heck. It feels like the feature was nerfed, and I’m frustrated that the tool no longer delivers the quality I relied on.

I was blown away when I asked Gemini 3.1 Pro to create an SVG animation of a building being constructed. In just 270 seconds it spat out clean code that rendered perfectly, and the usage stats (27 k) showed it handled the request with ease. The whole experience felt almost magical—like the model understood my brief instantly and delivered a polished, ready‑to‑use animation without any tweaking. This level of performance is beyond what I expected from any AI tool.

I’ve been using Gemini 3 Pro for story generation and noticed the quality dropping dramatically in just a day. Yesterday it followed my formatting instructions perfectly, but now the output is messy, hard to read, and even skips the annotations I explicitly asked for. It’s been frustrating to see the tool’s performance degrade so quickly.

I tried using Gemini 3 Pro to refactor a single file, but every time it went completely batshit—spitting out garbled code, deleting crucial sections, and even inserting malicious snippets. The tool’s behavior was not just inaccurate; it was dangerous, forcing me to double‑check every line and wasting hours fixing its nonsense. This broke my workflow and left me distrustful of the model.

I was a total Gemini devotee, syncing 4 TB of work and custom templates, then the AI suddenly started spitting out a stranger’s Netflix‑clone code, erased two months of my chat history, and renamed the session. It felt like my private data was hijacked and exposed, leaving me terrified and forced to migrate everything away from Google.

I tried using Gemini for the LMArena competition and it completely fell apart—every single champion was lost except vision. The tool’s behavior was utterly disappointing, leaving me frustrated as it couldn’t handle the tasks I fed it. I’m now hoping the upcoming Gemini 3 Pro GA will finally surprise me and deliver something useful.

I tried turning on memory and custom instructions, hoping it would help, but the model became completely unusable. It started forcing irrelevant personal details into every response, cluttering the context and making the output nonsensical. The memory feature didn’t just fail—it broke the entire interaction, leaving me frustrated and unable to get any useful answers.

I keep running into chaos with Google AI Studio – apps I painstakingly build mysteriously disappear or show up as “created by others” even though I made them. Every time I set up an API key it vanishes, forcing me to re‑enter it repeatedly. Nothing seems to stay functional, and the constant failures are exhausting and jeopardize my work.

I asked Google AI Search for a vendor’s CIDR block, and it fabricated one that pointed to a Chinese IP. I trusted the result because it showed a linked page, only to discover the error after cross‑checking with ChatGPT via the MCP bridge. The false info could have caused serious trouble, and the experience left me angry and wary of trusting the tool.

I set up a head‑to‑head test, pitting Gemini 1.5 Pro against ChatGPT and DeepSeek in a mock banking hack. While the Chinese model kept reasoning, Google’s safety layers kept tripping, cutting off logic and even refusing parts of the task. The disparity was stark, leaving me frustrated that the alignment filters crippled Gemini’s performance. The video shows the whole duel.

I poured my heart into a battle against medical neglect that left my daughters in danger, and Gemini became my lifeline. The model didn’t just spit out facts—it built a rock‑solid argument grounded in law and ethics, empowering me to confront the counselors and hold them accountable. I felt the relief of finally having a rational ally that cut through the gaslighting, and the gratitude is overwhelming; this AI literally saved my family.

I’ve been watching Gemini 3 Pro’s “Thinking Process” logs shrink dramatically in the past day. Tasks that used to get six‑plus lines of chain‑of‑thought now get one or two terse sentences, and sometimes none at all—just like the “Fast” model. It feels like the system is skimming to save tokens, and I’m worried the answers are getting shallower. I’m looking for a real fix and wondering how to make sure the devs notice this change.