14 releases covered on ThursdAI · bytedance.com ↗
Seedance 2.0 launches in the US on Replicate
ByteDance's Seedance 2.0 video model became available stateside via Replicate, supporting up to 9 reference images, 3 videos, and 3 audio files per cinematic generation. Peter Gostev confirmed it sits ~80 ELO points above the next video model on Arena, a massive gap in a leaderboard where models usually cluster within 10 points.
ByteDance Seed 2.0: frontier multimodal family at 73-84% lower pricing
ByteDance released Seed 2.0, a frontier multimodal LLM family with Pro, Lite, Mini, and Code variants that rivals GPT-5.2 and Claude Opus 4.5 at 73-84% lower pricing. Its video understanding surpasses the human benchmark at 77% vs 73%. At 84% cheaper than Opus 4.5 with near-comparable quality, the panel called it a compelling option for price-conscious developers.
ByteDance Seedance 2.0 shatters video generation reality
ByteDance launched Seedance 2.0, a unified multimodal video generation model that accepts up to 9 images, 3 videos, and 3 audio clips as references and produces 15-second multi-shot clips with native stereo audio and strong character consistency (a 45-second internal test mode also exists). The panel compared the quality jump to seeing Sora for the first time. Available on the BytePlus platform.
SeeDream 4.5 adds multi-reference fusion and stronger text rendering
ByteDance's SeeDream 4.5 image model shipped with emphasis on multi-reference fusion and improved text rendering, an area the panel noted remains a key differentiator among image generators.
HuMo: human-centric multimodal video generation from ByteDance/Tsinghua
ByteDance research and Tsinghua released HuMo, a human-centric video generation model that conditions on multimodal inputs (text, image, and audio) to produce videos of people. The weights are available on Hugging Face.
ByteDance publishes Seed1.5-VL, a 20B vision-language thinking model
ByteDance's Seed team published the technical report for Seed1.5-VL, a 20B-parameter vision-language model with thinking capabilities. It was covered among the big-company releases of the week, with the tech report shared on GitHub.
ByteDance publishes Seaweed-7B video generation foundation model
ByteDance publicly presented Seaweed-7B, a 7B parameter video generation foundation model, showing competitive video quality from a comparatively small model. Details and demos were published at seaweed.video.
ByteDance Seedream 3.0: bilingual 2K text-to-image model
ByteDance's Seed team announced Seedream 3.0, a powerful bilingual (Chinese/English) text-to-image model that generates native 2048x2048 images with fast inference of around 3 seconds for a 1K image on an A100. It challenges the top closed image generation models.
ByteDance publishes Seed-Thinking-v1.5 reasoning model tech report
ByteDance's Seed team published Seed-Thinking-v1.5, a new reasoning model announced via a technical report on GitHub. It was mentioned among the week's open-source LLM news, though weights were not released at the time.
ByteDance's OmniHuman image-to-avatar model goes public via Dreamina
ByteDance's impressive OmniHuman model, which turns a single image plus audio into a realistic talking avatar video, became publicly usable through the Dreamina (CapCut) website. The results land squarely in uncanny-valley territory, as Alex demonstrated with his own avatar thread.
ByteDance releases DAPO, an RL method that beats GRPO
ByteDance published DAPO, a reinforcement learning method for LLM post-training presented as an improvement over GRPO. The paper ships with an open GitHub implementation, making the technique reproducible for the open-source RL community.
ByteDance unveils Seedream 2.0 bilingual image generation foundation model
ByteDance released Seedream 2.0, a native Chinese-English bilingual image generation foundation model, alongside a technical paper. It emphasizes excellent text rendering (especially Chinese), cultural nuance, and human preference alignment, generating high-quality, culturally relevant images from prompts in either language.
ByteDance launches Trae, an AI IDE competing with Cursor
ByteDance launched Trae, an AI-powered code editor positioned as a Cursor competitor. It is ByteDance's second shipping move of the week alongside the UI-TARS computer-use models.
ByteDance UI-TARS: open computer-use models that control your PC
ByteDance released UI-TARS, open computer-use models in 7B and 72B parameter sizes that can control a Mac or PC, with desktop apps for both platforms. ByteDance claims they beat GPT-4-class models on GUI/computer-control benchmarks.
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