How a new hybrid architecture bridges the gap between deep semantic understanding and high-fidelity visuals
A "Best of Both Worlds" Architecture: GLM-Image introduces an industrial-grade hybrid...
Why the future of intelligence isn't about reasoning harder, but orchestrating better with ToolOrchestra.
Intelligence through Coordination: We challenge the assumption that "intelligence" equals one giant...
A new open-source foundation model bridges the gap between sight and sound, delivering state-of-the-art audiovisual generation with unprecedented efficiency.
Unified Audiovisual Synthesis: LTX-2 moves beyond silent...
How Diffusion Transformers are bridging the gap between static images and dynamic video reality
The Video Gap: While image face swapping has matured, video face swapping...
How a new modular framework is transforming LLMs from passive text generators into autonomous, decision-making agents capable of mastering the real world.
The Shift to...
Why treating every word equally is holding AI back, and how "thinking in concepts" unlocks new reasoning power.
The Efficiency Gap: Standard Large Language Models (LLMs)...
IQuest-Coder-V1 redefines efficiency with "Code-Flow" training, proving size isn't everything in the 2026 AI arms race.
The "David vs. Goliath" Upset IQuest-Coder-V1, a 40-billion parameter model...
DeepSeek-AI’s new framework solves the instability of Hyper-Connections, paving the way for scalable, next-gen foundation models.
The Scalability Bottleneck: While recent Hyper-Connections (HC) have boosted AI...
Unlocking precise control in AI image generation by bridging the gap between freehand sketching and complex multimodal instructions.
Breaking the Language Barrier: DreamOmni3 moves beyond the...
How a new AI framework is bridging the gap between 4D geometry and realistic video editing.
The Challenge: Inserting objects into video (VOI) has historically failed...
Unveiling the "Block-Recurrent Hypothesis" and the emergence of dynamical simplicity in deep learning.
The Block-Recurrent Hypothesis (BRH): Deep Vision Transformers (ViTs) often operate like recurrent systems,...
Why geometric evolution on manifolds might be the linear-complexity, interpretable alternative to the Transformer's quadratic dominance.
Challenging the Status Quo: The article questions the assumption that...
