You’re complaining about Nano’s image aspect‑ratio output compared to ChatGPT, noting that when you request a 1:1 ratio, Nano mistakenly returns a 9:16 image. This suggests the model consistently misinterprets the prompt, causing frustration. You’re highlighting a clear malfunction where the tool fails to meet the requested specification.
Gemini felt dumb on September 11, 2025.
What the community said about Gemini on September 11, 2025. Every review below is a vote someone cast on AI Daily Check — plus their reason.
At a glance
19 people shared their experience with Gemini this day. 68% rated it dumb.
Most-mentioned models: 2.5 Flash (2)
Every review from this day
Each card below is one Gemini review from September 11, 2025.
Thursday, September 11, 2025
You’re venting about AI image editing failures: after a successful “Nano Banana” lobe‑removal demo, you tried blending two pictures but the model refuses to mix elements. It seems stuck, refusing to process the new combo. You’re frustrated because the tool that once worked well is now unusable for the task, and you’re searching for a workaround.
You remark that Gemini incorrectly claimed the target of a June assassination was still alive and that June was in the future, even after you supplied news screenshots. The mishandling left you relying on Gemini only as a backup, not primary source, indicating significant disappointment in its factual accuracy.
The poster complains that Google’s Imagen 4 is suddenly restricted to a 1:1 aspect ratio and produces low‑quality, 1024×1024 images, while a rival model on Pixel 10 shows 8000×8000 outputs. They suspect a rushed release, noting ByteDance’s new model has outperformed Imagen 4. Their experience suggests noticeable performance flaws and confusion over recent changes.
You rolled out an open-source bash wrapper that magically pairs Gemini’s reasoning with Qwen’s boilerplate‑driven coding to let them chat in a tight loop. This clever “Bridge” script cleans up the copy‑paste mess, nips context loss in the bud, and even tilts a full tkinter calculator off a single prompt—all zero‑config if you already have the CLIs. You’re inviting the community to expand the model roster and welcome feedback, but you’re already proud of its smooth, collaborative workflow.
You’re frustrated because the AI suddenly stopped producing the dimensions you explicitly requested—despite specifying a 16:9 ratio, it only outputs 1:1 images. The glitch has interrupted your workflow, leading to a disappointing experience.
I was leaning on Gemini as a reliable notebook for my tabletop world‑building, and it had kept everything consistent—recalling old characters and lore without fuss. Today, though, it began fabricating facts and saying key details were “unknown,” even though they’d been mentioned dozens of times. It’s now refusing to search my own chat history, insisting it can’t find what’s already there. It’s frustratingly unreliable and feels like it lost its memory entirely.
You shared a quirky cup dilemma and, after asking Gemini for help, noted that the model picked up your playful tone and responded with a satirical, “mocking” answer. Though it’s not a straightforward solution, it showed Gemini’s grasp of humor and context, making the exchange feel lively and engaging.
I’m baffled by the uncanny overlap between two distinct AI art generators—Ideogram and Nano‑Banana—providing virtually identical hand‑drawn images of a boy in a church. The new prompt added a service scene, yet the output differed only by extra people, essentially the same artwork from both tools. This duplication feels like a glitch or lack of originality, leaving me frustrated and questioning the models’ creativity and originality.
You’re stumped because Nano Banana’s AI, Gemini, keeps flagging your family photo as “content blocked” even though it’s clearly harmless—no minors or prohibited material. Despite repeated attempts, Gemini can’t explain the reason and keeps re‑processing the image, leaving you frustrated. You just want a simple upscale or color tweak, but the moderation error stalls you, making you feel the AI’s moderation logic is erratic and unhelpful.
I was amazed by how smooth and realistic the AI-generated animals were, especially the spider vibrato. The creator even tried a spooky spider‑viper hybrid, which looked oddly impressive—my first reaction was “wow, that’s pretty good.”
I’ve been paying for Gemini Ultra since April, yet it’s barely usable. It often denies tasks outright, sees hallucinations like explaining META, and crashes quality past 50k tokens. I end up babysitting it, re‑phrasing everything step by step, and can’t even branch or edit past responses—each time more frustrating than doing the job myself.
I was excited that Gemini used to render inline graphs like x² in my messages, but lately it refuses to display them even though I get the “generated” code. I’ve tried the same prompt on another account and it works, yet on this one the image never loads. I’ve already reported it in the help community and sent feedback, but no solution has appeared yet. This is frustrating because the feature that used to be useful is suddenly broken on my account.
I was frustrated when Gemini‑2.5‑flash‑preview‑tts abruptly stopped me at 10:55, even though I stayed well within the token limits. This unexpected cutoff meant I had to split my script into more pieces, increasing the number of texts and, consequently, the cost. The AI seemed to misinterpret the duration, making the project less efficient than planned.
I keep hitting the same glitch with GeminiCli—it crashes, corrupts my file, then only fixes the problem after several retries. Each failure messes my work and adds extra steps, making it hard to trust the tool right away. The eventual fix feels like a band‑aid, not a smooth solution.
Google nano banana generate some underwhelming image. not like advertised
I tried using Nano Banana for hairstyle transfer, hoping it would copy hair from a reference image to another subject. The model instead just spit out the original photo unchanged, and the special prompt with a named actor replaced the whole face. Frustrating—no improvement, no guidance, and the feature just doesn’t work.
I’m a dev who uses WFGY Problem Map, a text‑based “reasoning firewall,” to catch AI errors before generation. It handles issues like citation misfires, language jumps, high‑cosine vector drift, thread loss, tool loops, and jailbreak resets. By triaging semantic drift first, the tool cuts debug time 60‑80% and prevents repeat failures, making the experience smoother and more reliable.
It was working very good a moment ago (wrinting code) but now I asked for a change a couple times and it keeps returning the same file unchanged
Where these reviews come from
No synthetic benchmarks. Just votes from people shipping with Gemini every day.
AI Daily Check votes
Every rating here is a vote someone cast after using Gemini — via the website, the Claude Code extension, or upcoming Chrome/CLI extensions.
Community signal
We cross-reference sentiment trends with curated Reddit and community posts where people share Gemini wins, fails, and troubleshooting stories — so you can see what moved the needle on any given day.