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ByteDance’s new AI video generation model, Dreamina Seedance 2.0, comes to CapCut
The new model in CapCut will have built-in protections for making video from real faces or unauthorized intellectual property.
ByteDance rolls out Seedance 2.0 globally, expanding AI video generation
Chinese artificial intelligence powerhouse and TikTok creator ByteDance has quietly rolled out its latest video generator Seedance 2.0 worldwide, while its US rival OpenAI called time on a similar product.
Bytedance: UI-TARS 72B (bytedance-research/ui-tars-72b)
UI-TARS 72B is an open-source multimodal AI model designed specifically for automating browser and desktop tasks through visual interaction and control. The model is built with a specialized vision architecture enabling accurate interpretation and manipulation of on-screen visual data. It supports automation tasks within web browsers as well as desktop applications, including Microsoft Office and VS Code. Core capabilities include intelligent screen detection, predictive action modeling, and efficient handling of repetitive interactions. UI-TARS employs supervised fine-tuning (SFT) tailored explicitly for computer control scenarios. It can be deployed locally or accessed via Hugging Face for demonstration purposes. Intended use cases encompass workflow automation, task scripting, and interactive desktop control applications.
[AINews] Claude Cowork Dispatch: Anthropic's Answer to OpenClaw
a quiet day.
Import AI 448: AI R Bytedance's CUDA-writing agent; on-device satellite AI
If Ukraine is the first major drone war, when will there be the first major AI war?
ByteDance Seed: Seed-2.0-Mini (bytedance-seed/seed-2.0-mini)
Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning_effort modes (minimal/low/medium/high), multimodal understanding, and is optimized for lightweight tasks where cost and speed take priority.
ByteDance vows to boost safeguards after AI model infringement claims
Chinese tech giant ByteDance said it was taking steps to strengthen current safeguards after Hollywood heavyweights accused its new AI video model of copyright infringement.
Hollywood groups condemn ByteDance's AI video generator, claiming copyright infringement
A new artificial intelligence video generator from Beijing-based ByteDance, the creator of TikTok, is drawing the ire of Hollywood organizations that say Seedance 2.0 blatantly violates copyright and uses the likeness of actors and others without permission.
All-in on AI: What TikTok creator ByteDance did next
After soaring to global attention with its hugely popular TikTok app, Chinese tech giant ByteDance is now positioning itself as a major player in the fast-evolving AI arena.
[AINews] Qwen Image 2 and Seedance 2
Strong generative media showings from China
ByteDance: Seed OSS 36B Instruct (bytedance/seed-oss-36b-instruct)
Seed-OSS-36B-Instruct is a 36B-parameter instruction-tuned reasoning language model from ByteDance’s Seed team, released under Apache-2.0. The model is optimized for general instruction following with strong performance in reasoning, mathematics, coding, tool use/agentic workflows, and multilingual tasks, and is intended for international (i18n) use cases. It is not currently possible to control the reasoning effort.
ByteDance: UI-TARS 7B (bytedance/ui-tars-1.5-7b)
UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement learning-based reasoning, enabling robust action planning and execution across virtual interfaces. This model achieves state-of-the-art results on a range of interactive and grounding benchmarks, including OSworld, WebVoyager, AndroidWorld, and ScreenSpot. It also demonstrates perfect task completion across diverse Poki games and outperforms prior models in Minecraft agent tasks. UI-TARS-1.5 supports thought decomposition during inference and shows strong scaling across variants, with the 1.5 version notably exceeding the performance of earlier 72B and 7B checkpoints.
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