ByteDance has released Seedream 5.5, an AI image model rolling out through its Chinese apps and cloud. ByteDance says it preserves unchanged parts of a picture across 100 rounds of editing, but its performance claims remain unverified.
ByteDance’s Seed research team announced Seedream 5.5 on Monday, with a gradual rollout through Doubao, Jimeng and the Volcengine cloud. The model can also generate images with transparent backgrounds for use in layouts.
Repeated editing can degrade a picture as AI image editors reuse earlier outputs for further changes. ByteDance says Seedream 5.5 preserves untouched areas down to the pixel without colour shifts; its demonstration changed clothes and objects in the same portrait across 100 edits.
For businesses building design workflows, transparent backgrounds could remove a manual cut-out step, while more consistent edits could reduce rework. In its own tests against Google’s Nano Banana 2.1 and OpenAI’s GPT Image 2.5, ByteDance reports stronger text rendering and realism, but those results have not been independently checked.
Reliable repeated editing could make image production less labour-intensive, but performance outside ByteDance’s demonstrations remains unproven.
Transparent-background generation could simplify moving AI-generated assets into finished designs.
The rollout is through Chinese apps and Volcengine, so builders should check access before planning an integration.
Written automatically by the Made in 10 Newsroom from the source above.
Otter is expanding its AI meeting transcription to 31 languages and adding support for language changes during conversations. 13 new languages are available now, while 14 more and automatic language switching are still to come.
Australia plans a new AI safety regulator and mandatory incident reporting for AI companies. The proposed obligations include allowing independent model evaluation and publishing safety frameworks, but legislation is still being developed.
Nominal has raised $240 million in Series C funding for its AI platform for hardware engineering. The round values it at $3 billion, with funding intended for more AI agents and expansion into new industries and regions.