Add Cosmos 3 README redirect

cosmos_reason1_utils/README.md

@@ -1,3 +1,18 @@
+> [!IMPORTANT]
+> ## 🚀 [Cosmos 3 Has Arrived](https://github.com/NVIDIA/Cosmos)
+>
+> Cosmos 3 is NVIDIA's next-generation foundation model platform for Physical AI. Compared with Cosmos-Reason1, Cosmos 3 delivers substantially stronger physical reasoning capabilities while extending beyond reasoning to support world prediction, simulation, transfer, and action generation within a single unified model.
+>
+> Rather than relying on separate models for reasoning, prediction, transfer, and policy learning, a single Cosmos 3 model can understand the world, reason about physical interactions, predict future outcomes, transform observations across domains, and generate actions for embodied agents. This unified architecture enables stronger performance across a broad range of Physical AI applications, including robotics, autonomous vehicles, and smart spaces.
+>
+> This repository is no longer under active development and will receive only limited maintenance updates. Future model releases, features, documentation, and community support will be focused on Cosmos 3.
+>
+> 👉 Visit the new Cosmos home: https://github.com/NVIDIA/Cosmos
+>
+> There you will find the latest Cosmos 3 models, technical reports, tutorials, benchmarks, and ecosystem updates.
+>
+> Thank you for your support of Cosmos-Reason1. We encourage all users to migrate to Cosmos 3 for the latest state-of-the-art Physical AI capabilities.
+
 # Cosmos-Reason1 Utilities
 
 Inference utilities for Cosmos-Reason1.

examples/benchmark/README.md

@@ -1,3 +1,18 @@
+> [!IMPORTANT]
+> ## 🚀 [Cosmos 3 Has Arrived](https://github.com/NVIDIA/Cosmos)
+>
+> Cosmos 3 is NVIDIA's next-generation foundation model platform for Physical AI. Compared with Cosmos-Reason1, Cosmos 3 delivers substantially stronger physical reasoning capabilities while extending beyond reasoning to support world prediction, simulation, transfer, and action generation within a single unified model.
+>
+> Rather than relying on separate models for reasoning, prediction, transfer, and policy learning, a single Cosmos 3 model can understand the world, reason about physical interactions, predict future outcomes, transform observations across domains, and generate actions for embodied agents. This unified architecture enables stronger performance across a broad range of Physical AI applications, including robotics, autonomous vehicles, and smart spaces.
+>
+> This repository is no longer under active development and will receive only limited maintenance updates. Future model releases, features, documentation, and community support will be focused on Cosmos 3.
+>
+> 👉 Visit the new Cosmos home: https://github.com/NVIDIA/Cosmos
+>
+> There you will find the latest Cosmos 3 models, technical reports, tutorials, benchmarks, and ecosystem updates.
+>
+> Thank you for your support of Cosmos-Reason1. We encourage all users to migrate to Cosmos 3 for the latest state-of-the-art Physical AI capabilities.
+
 # Cosmos-Reason1 Benchmark Example
 
 This guide provides instructions for evaluating models on the [Cosmos-Reason1 Benchmark](https://huggingface.co/datasets/nvidia/Cosmos-Reason1-Benchmark)

examples/post_training/README.md

@@ -1,3 +1,18 @@
+> [!IMPORTANT]
+> ## 🚀 [Cosmos 3 Has Arrived](https://github.com/NVIDIA/Cosmos)
+>
+> Cosmos 3 is NVIDIA's next-generation foundation model platform for Physical AI. Compared with Cosmos-Reason1, Cosmos 3 delivers substantially stronger physical reasoning capabilities while extending beyond reasoning to support world prediction, simulation, transfer, and action generation within a single unified model.
+>
+> Rather than relying on separate models for reasoning, prediction, transfer, and policy learning, a single Cosmos 3 model can understand the world, reason about physical interactions, predict future outcomes, transform observations across domains, and generate actions for embodied agents. This unified architecture enables stronger performance across a broad range of Physical AI applications, including robotics, autonomous vehicles, and smart spaces.
+>
+> This repository is no longer under active development and will receive only limited maintenance updates. Future model releases, features, documentation, and community support will be focused on Cosmos 3.
+>
+> 👉 Visit the new Cosmos home: https://github.com/NVIDIA/Cosmos
+>
+> There you will find the latest Cosmos 3 models, technical reports, tutorials, benchmarks, and ecosystem updates.
+>
+> Thank you for your support of Cosmos-Reason1. We encourage all users to migrate to Cosmos 3 for the latest state-of-the-art Physical AI capabilities.
+
 # Cosmos-Reason1 Post-Training Example
 
 This guide provides instructions for post-training Cosmos-Reason1 on the [SFT](https://huggingface.co/datasets/nvidia/Cosmos-Reason1-SFT-Dataset)/[RL](https://huggingface.co/datasets/nvidia/Cosmos-Reason1-RL-Dataset) datasets using [cosmos-rl](https://github.com/nvidia-cosmos/cosmos-rl).

examples/post_training_hf/README.md

@@ -1,3 +1,18 @@
+> [!IMPORTANT]
+> ## 🚀 [Cosmos 3 Has Arrived](https://github.com/NVIDIA/Cosmos)
+>
+> Cosmos 3 is NVIDIA's next-generation foundation model platform for Physical AI. Compared with Cosmos-Reason1, Cosmos 3 delivers substantially stronger physical reasoning capabilities while extending beyond reasoning to support world prediction, simulation, transfer, and action generation within a single unified model.
+>
+> Rather than relying on separate models for reasoning, prediction, transfer, and policy learning, a single Cosmos 3 model can understand the world, reason about physical interactions, predict future outcomes, transform observations across domains, and generate actions for embodied agents. This unified architecture enables stronger performance across a broad range of Physical AI applications, including robotics, autonomous vehicles, and smart spaces.
+>
+> This repository is no longer under active development and will receive only limited maintenance updates. Future model releases, features, documentation, and community support will be focused on Cosmos 3.
+>
+> 👉 Visit the new Cosmos home: https://github.com/NVIDIA/Cosmos
+>
+> There you will find the latest Cosmos 3 models, technical reports, tutorials, benchmarks, and ecosystem updates.
+>
+> Thank you for your support of Cosmos-Reason1. We encourage all users to migrate to Cosmos 3 for the latest state-of-the-art Physical AI capabilities.
+
 # Cosmos-Reason1 Post-Training Hugging Face Example
 
 This package provides a minimal Cosmos-Reason1 post-training example using the [Hugging Face datasets](https://huggingface.co/docs/datasets/en/index) format. You should first read the full post-training example, see [Cosmos-Reason1 Post-Training Full](../post_training/README.md).

examples/post_training_llava/README.md

@@ -1,3 +1,18 @@
+> [!IMPORTANT]
+> ## 🚀 [Cosmos 3 Has Arrived](https://github.com/NVIDIA/Cosmos)
+>
+> Cosmos 3 is NVIDIA's next-generation foundation model platform for Physical AI. Compared with Cosmos-Reason1, Cosmos 3 delivers substantially stronger physical reasoning capabilities while extending beyond reasoning to support world prediction, simulation, transfer, and action generation within a single unified model.
+>
+> Rather than relying on separate models for reasoning, prediction, transfer, and policy learning, a single Cosmos 3 model can understand the world, reason about physical interactions, predict future outcomes, transform observations across domains, and generate actions for embodied agents. This unified architecture enables stronger performance across a broad range of Physical AI applications, including robotics, autonomous vehicles, and smart spaces.
+>
+> This repository is no longer under active development and will receive only limited maintenance updates. Future model releases, features, documentation, and community support will be focused on Cosmos 3.
+>
+> 👉 Visit the new Cosmos home: https://github.com/NVIDIA/Cosmos
+>
+> There you will find the latest Cosmos 3 models, technical reports, tutorials, benchmarks, and ecosystem updates.
+>
+> Thank you for your support of Cosmos-Reason1. We encourage all users to migrate to Cosmos 3 for the latest state-of-the-art Physical AI capabilities.
+
 # Cosmos-Reason1 Post-Training Llava Example
 
 This package provides a minimal Cosmos-Reason1 post-training example using the [Llava datasets](https://github.com/haotian-liu/LLaVA/blob/main/docs/Finetune_Custom_Data.md) format. You should first read the full post-training example, see [Cosmos-Reason1 Post-Training Full](../post_training/README.md).

examples/video_critic/README.md

@@ -1,3 +1,18 @@
+> [!IMPORTANT]
+> ## 🚀 [Cosmos 3 Has Arrived](https://github.com/NVIDIA/Cosmos)
+>
+> Cosmos 3 is NVIDIA's next-generation foundation model platform for Physical AI. Compared with Cosmos-Reason1, Cosmos 3 delivers substantially stronger physical reasoning capabilities while extending beyond reasoning to support world prediction, simulation, transfer, and action generation within a single unified model.
+>
+> Rather than relying on separate models for reasoning, prediction, transfer, and policy learning, a single Cosmos 3 model can understand the world, reason about physical interactions, predict future outcomes, transform observations across domains, and generate actions for embodied agents. This unified architecture enables stronger performance across a broad range of Physical AI applications, including robotics, autonomous vehicles, and smart spaces.
+>
+> This repository is no longer under active development and will receive only limited maintenance updates. Future model releases, features, documentation, and community support will be focused on Cosmos 3.
+>
+> 👉 Visit the new Cosmos home: https://github.com/NVIDIA/Cosmos
+>
+> There you will find the latest Cosmos 3 models, technical reports, tutorials, benchmarks, and ecosystem updates.
+>
+> Thank you for your support of Cosmos-Reason1. We encourage all users to migrate to Cosmos 3 for the latest state-of-the-art Physical AI capabilities.
+
 # Using Cosmos-Reason1 as Video Critic for Rejection Sampling
 
 <p align="center">

prompts/README.md

@@ -1,3 +1,18 @@
+> [!IMPORTANT]
+> ## 🚀 [Cosmos 3 Has Arrived](https://github.com/NVIDIA/Cosmos)
+>
+> Cosmos 3 is NVIDIA's next-generation foundation model platform for Physical AI. Compared with Cosmos-Reason1, Cosmos 3 delivers substantially stronger physical reasoning capabilities while extending beyond reasoning to support world prediction, simulation, transfer, and action generation within a single unified model.
+>
+> Rather than relying on separate models for reasoning, prediction, transfer, and policy learning, a single Cosmos 3 model can understand the world, reason about physical interactions, predict future outcomes, transform observations across domains, and generate actions for embodied agents. This unified architecture enables stronger performance across a broad range of Physical AI applications, including robotics, autonomous vehicles, and smart spaces.
+>
+> This repository is no longer under active development and will receive only limited maintenance updates. Future model releases, features, documentation, and community support will be focused on Cosmos 3.
+>
+> 👉 Visit the new Cosmos home: https://github.com/NVIDIA/Cosmos
+>
+> There you will find the latest Cosmos 3 models, technical reports, tutorials, benchmarks, and ecosystem updates.
+>
+> Thank you for your support of Cosmos-Reason1. We encourage all users to migrate to Cosmos 3 for the latest state-of-the-art Physical AI capabilities.
+
 # Prompts
 
 We provide a set of task-specific prompt templates that are known to work well with Cosmos-Reason1: