A new arXiv study examines how difficult it is to attribute an AI-generated image to a specific model version when a tool keeps its public name but swaps its underlying generator. The authors assembled a frozen set of 3,478 images collected around the ChatGPT Images 2.5 launch and evaluated detectors against it.
OpenAI is rolling out ChatGPT Images 2.5, an image generation update built around two separate models: Flare, aimed at producing images more quickly, and Sunburst, aimed at more accurate editing. It remains unclear which users receive which model and on what schedule, though early testing gives some indication of who gains from the changes.
OpenAI has introduced ChatGPT Images 2.5, which brings two separate image models: Flare for faster generation and Sunburst for more precise edits. It remains unclear which model ChatGPT users will receive and at what point. Early testing by The Decoder suggests the improvements may not benefit all users equally.
OpenAI has rolled out ChatGPT Images 2.5, a new version of its image generation capability. The update converts text prompts, hand-drawn sketches, and uploaded reference photos into finished images that hew more closely to what the user intended. OpenAI also emphasizes output that is more personalized to individual users and produces more polished results than the previous version.
WHY IT MATTERS ↘Higher prompt fidelity plus support for sketches and reference photos shorten iteration cycles, moving image generation from early ideation toward production use in design and marketing workflows. The release also tightens competition with Midjourney, Google, and Adobe in creative tooling, and its personalization push will prompt scrutiny of how user-uploaded content informs model outputs.