The community has a habit of squeezing every bit of performance out of open models.

Looking forward to seeing custom fine tunes, optimized inference, and creative workflows built around Ling 3.0 Flash.

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This release checks nearly every box developers ask for. Massive context, frontier-class agent performance, compatibility with vLLM and SGLang from day one, flexible deployment, and API pricing that's designed for scaling real applications instead of experiments.

Every open model release creates a ripple effect across the AI ecosystem.

New agents, better workflows, faster research, and unexpected products.

Looking forward to seeing how builders unlock the full potential of Ling 3.0 Flash.

Love seeing another model move into the hands of developers.

Open weights mean more freedom to experiment, customize, and deploy without limits.

Can't wait to see the creative projects that emerge from Ling 3.0 Flash.

Seedance 2.5 is live inside eComrads.

We've been testing it in the engine, ahead of the public API. It's the biggest jump ad video has taken since we started:

• 30-second ads in a single take, no stitching
• sound generated in the same pass as the picture…

Seedance 2.5 isn't just making AI videos better—it's making ad production feel like software.

Long-form generations, native audio, precise reference control, and targeted edits remove a lot of the friction from creative workflows.

When generation quality…

The shift isn't just better video quality—it's better creative control.

30-second generations, built-in audio, reference consistency, and frame-level edits make AI ads far more practical for real campaigns.

The gap between an idea and a launch-ready ad…

AI video is quickly becoming less about generating clips and more about generating campaigns.

Seedance 2.5 pushes the creative ceiling higher, while platforms like eComrads focus on what actually drives performance.

The future isn't just AI-generated ads—it's…

30 seconds in one take with the audio generated in the same pass. that's the part people are underrating