Gemini can lose context during chats and image generation
Gemini can produce excellent results for a short time and then suddenly ignore facts, lose earlier context, or take the conversation in an unrelated direction. Once that drift begins, further instructions may fail to bring it back, and repeated attempts can make the output more confused.
This happened while building PublishLoud, where Gemini generated marketing images from . Its image results also swung between impressive and far removed from the intended request.
GPT, Claude, and other can all produce , but Gemini seemed unusually confident when giving incorrect information. The claim that Gemini was built through vibe coding is a joke about this uneven behavior, not evidence about how Google actually developed it.
Key points
- Gemini sometimes lost facts and earlier context after initially giving strong answers.
- Once the conversation drifted, correction attempts often failed and retries could make it worse.
- repeatedly affected PublishLoud's marketing images based on .
- Image quality varied sharply between excellent and chaotic results.
- Gemini appeared highly confident even when producing .