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Seaweed's APT framework slashes real-time video latency, offering unprecedented speed and quality. Discover how this innovative adversarial training technique is reshaping video generation technology.
Seaweed, a research team at the forefront of video generation technology, has released a series of groundbreaking models under the APT (Adversarial Procedural Training) framework. These models aim to revolutionize real-time video processing by significantly reducing latency and improving quality. Here’s a deep dive into what changed technically and why it matters for practitioners.
The APT series consists of two primary models, APT1 and APT2, each addressing different aspects of video generation:

Seaweed has also developed several extensions that build on the APT framework:
For practitioners, the Seaweed APTs offer several key benefits:
The Seaweed APTs represent a significant leap forward in video generation technology. By combining adversarial training with innovative architectural designs, these models offer unprecedented speed and quality. For developers and researchers, this is an exciting opportunity to explore new frontiers in real-time video processing and interactive content creation.
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↗ https://seaweed-apt.com/?utm_source=tldrai
About the author
Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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16 January 2025
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