The launch collection of Runway Apps are now rolling out on web with more apps coming very soon. Get started now at http://
runwayml.com (7/7)
@runwayml
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Runway Apps Launch Collection Now Available on Web
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Runway AI Transforms History Channel’s Life After People Production
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Read more: https://
runwayml.com/customers/how-
eggplant-picture-and-sound-transformed-history-channels-life-after-people-with-runway
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Eggplant Picture & Sound Uses Runway AI for VFX Production
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Eggplant Picture & Sound talks about how they brought Runway into their VFX pipeline to get the History Channel's, "Life After People" on air and under budget. Read the full interview at the link below.
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AI Enables Personal World Creation Technology Soon
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Imagine a world where anyone can create any world they want. This world is coming, very soon. pic.twitter.com/gmCtTIcUTq
— Runway (@runwayml) 1 octobre 2025Imagine a world where anyone can create any world they want. This world is coming, very soon.
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Runway Student Ambassador Program for Creative Industry Careers
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The Runway Student Ambassador Program spans the world's top educational institutes and is designed to help students prepare for careers across creative industries. Ambassadors receive complimentary credits, plans, networking opportunities and more. If you're interested in
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Runway advances autoregressive-to-diffusion multimodal AI models
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This work is a step towards our goal of unifying multimodal understanding and generation in order to build multimodal simulators of the world. Learn more: https://
runwayml.com/research/autor
egressive-to-diffusion-vlms
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A2D-VL Diffusion Model Outperforms VLMs with Efficient Training
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A2D-VL outperforms prior diffusion VLMs in visual question-answering while requiring significantly less training compute. Our novel adaptation techniques are critical for retaining model capabilities, finally enabling the conversion of state-of-the-art autoregressive VLMs to
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VLMs Sequential Generation Limits Parallelization Efficiency
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Standard Vision-language models (VLMs) reason about images and videos through language, powering a wide variety of applications from image captioning to visual question answering.
— Runway (@runwayml) 24 septembre 2025
Autoregressive VLMs generate tokens sequentially, which prevents parallelization and limits… pic.twitter.com/54ahfojDZuStandard Vision-language models (VLMs) reason about images and videos through language, powering a wide variety of applications from image captioning to visual question answering. Autoregressive VLMs generate tokens sequentially, which prevents parallelization and limits
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A2D-VL 7B: Diffusion-Based Parallel Vision-Language Model
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We trained a state-of-the-art diffusion VLM, A2D-VL 7B for parallel generation by finetuning an existing autoregressive VLM on the diffusion language modeling task, using the masked diffusion framework which "noises" tokens by masking them and "de-noises" tokens by predicting the… pic.twitter.com/zqU3szysQ1
— Runway (@runwayml) 24 septembre 2025We trained a state-of-the-art diffusion VLM, A2D-VL 7B for parallel generation by finetuning an existing autoregressive VLM on the diffusion language modeling task, using the masked diffusion framework which "noises" tokens by masking them and "de-noises" tokens by predicting the
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Diffusion Models Advance Vision Language AI Research
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Today we're sharing our first research work exploring diffusion for language models: Autoregressive-to-Diffusion Vision Language Models We develop a state-of-the-art diffusion vision language model, Autoregressive-to-Diffusion (A2D), by adapting an existing autoregressive vision