Model Detail
ByteDance Seed: Seed 1.6
—How Out-of-Equilibrium Phase Transitions can Seed Pattern Formation in Trained Diffusion Models
arXiv:2603.20092v2 Announce Type: replace Abstract: Diffusion models generate structure by progressively transforming noise into data, yet the mechanisms underlying this transition remain poorly understood. In this work, we show that pattern formation in trained diffusion models can be explained as
On the Extreme Variance of Certified Local Robustness Across Model Seeds
arXiv:2601.13303v2 Announce Type: replace Abstract: Robustness verification of neural networks, referring to formally proving that neural networks satisfy robustness properties, is of crucial importance in safety-critical applications, where model failures can result in loss of human life or million
LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data
arXiv:2510.24434v2 Announce Type: replace Abstract: The effectiveness of instruction-tuned Large Language Models (LLMs) is often limited in low-resource linguistic settings due to a lack of high-quality training data. We introduce LuxIT, a novel, monolingual instruction tuning dataset for Luxembourg
Seed1.8 Model Card: Towards Generalized Real-World Agency
arXiv:2603.20633v2 Announce Type: replace Abstract: We present Seed1.8, a foundation model aimed at generalized real-world agency: going beyond single-turn prediction to multi-turn interaction, tool use, and multi-step execution. Seed1.8 keeps strong LLM and vision-language performance while support
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.
