# Cosmos

NVIDIA platform of world foundation models and open frameworks for developing physical AI systems.

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## Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video

DevFeed: [Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video](<https://devfeed.tech/articles/skild-ai-taps-nvidia-physical-ai-to-teach-robots-new-tasks-from-a-single-video-6961.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/skild-ai-s1-physical-ai/>)

Author: Sasa Docca

Published: 2026-09-10T16:30:35Z

Content type: news

Language: en

Sources: [NVIDIA Blog](<https://devfeed.tech/sources/nvidia-blog.md>)

Topics: [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Simulation and Design](<https://devfeed.tech/topics/simulation-and-design.md>), [synthetic-data](<https://devfeed.tech/topics/synthetic-data.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [customer-stories](<https://devfeed.tech/tags/customer-stories.md>), [industrial-and-manufacturing](<https://devfeed.tech/tags/industrial-and-manufacturing.md>), [isaac](<https://devfeed.tech/tags/isaac.md>), [model](<https://devfeed.tech/tags/model.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-blackwell](<https://devfeed.tech/tags/nvidia-blackwell.md>), [omniverse](<https://devfeed.tech/tags/omniverse.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [robots](<https://devfeed.tech/tags/robots.md>), [simulation-and-design](<https://devfeed.tech/tags/simulation-and-design.md>), [synthetic-data-generation](<https://devfeed.tech/tags/synthetic-data-generation.md>), [tensorrt](<https://devfeed.tech/tags/tensorrt.md>), [video](<https://devfeed.tech/tags/video.md>)

### AI overview

Skild AI's S1 robot foundation model learns new long-horizon physical tasks from a single video demonstration through in-context learning, without task-specific retraining. The article describes its development on NVIDIA AI infrastructure and use of NVIDIA Isaac Lab and Cosmos technologies.

### Source excerpt

Manufacturing floors, warehouses and production lines rarely stay fixed -- tasks change, layouts shift and new products arrive, and most robots can't keep up without significant reprogramming. Skild AI's new S1 robot foundation model helps address this, designed to learn previously unseen, long-horizon tasks from a single video demonstration. The model, launched last week, uses [...]

## No Man's Sky Cosmos Update Overhauls Space With Stations, Alliances, Bases, Wrecks, and New Missions

DevFeed: [No Man's Sky Cosmos Update Overhauls Space With Stations, Alliances, Bases, Wrecks, and New Missions](<https://devfeed.tech/articles/no-man-s-sky-brings-a-whole-new-universe-of-possibilities-in-cosmos-update-17324.md>)

Original publisher: [Read original article](<https://roadtovr.com/no-mans-sky-cosmos-update-psvr-2-steam/>)

Author: Scott Hayden

Published: 2026-09-10T10:47:46Z

Content type: article

Language: en

Sources: [Road to VR](<https://devfeed.tech/sources/road-to-vr.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [anniversary](<https://devfeed.tech/tags/anniversary.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [games](<https://devfeed.tech/tags/games.md>), [pc-vr-news-reviews](<https://devfeed.tech/tags/pc-vr-news-reviews.md>), [psvr-2-news-reviews](<https://devfeed.tech/tags/psvr-2-news-reviews.md>), [release](<https://devfeed.tech/tags/release.md>), [update](<https://devfeed.tech/tags/update.md>), [xr-industry-news](<https://devfeed.tech/tags/xr-industry-news.md>)

### AI overview

Hello Games has released the Cosmos update for No Man's Sky, overhauling space exploration with claimable and customizable space stations, alliances, space bases, wrecks to salvage, new missions, and asteroid belts containing crystal resources. The update is No Man's Sky 7.0 and supports PSVR 2 and PC VR headsets.

### Source excerpt

Hello Games has released its biggest update yet to VR-supported space sim No Man's Sky (2016), completely overhauling space itself. At the game's 2016 launch, space was admittedly barebones, offering relatively sparse interactions outside mining asteroids for fuel and resources, and occasionally encountering pirates or other ships. And while there have been 40+ updates since [...] The post 'No Man's Sky' Brings a Whole New Universe of Possibilities in Cosmos Update appeared first on Road to VR.

## Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control

DevFeed: [Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control](<https://devfeed.tech/articles/post-train-nvidia-cosmos-3-edge-for-on-device-robot-control-6920.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/post-train-nvidia-cosmos-3-edge-for-on-device-robot-control/>)

Author: Michelle Horton

Published: 2026-08-19T16:00:00Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [edge](<https://devfeed.tech/tags/edge.md>), [edge-computing](<https://devfeed.tech/tags/edge-computing.md>), [featured](<https://devfeed.tech/tags/featured.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [inference](<https://devfeed.tech/tags/inference.md>), [jetson](<https://devfeed.tech/tags/jetson.md>), [latency](<https://devfeed.tech/tags/latency.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [on-device](<https://devfeed.tech/tags/on-device.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [post-training](<https://devfeed.tech/tags/post-training.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [robotics-simulation](<https://devfeed.tech/tags/robotics-simulation.md>), [robots](<https://devfeed.tech/tags/robots.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>), [thor](<https://devfeed.tech/tags/thor.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

### AI overview

A tutorial on post-training NVIDIA Cosmos 3 Edge as an on-device robot manipulation policy, serving it on Jetson Thor, running receding-horizon inference, and evaluating it in closed-loop simulation.

### Source excerpt

Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for...

## Beyond VLAs: How World Action Models Reshape Robot Manipulation

DevFeed: [Beyond VLAs: How World Action Models Reshape Robot Manipulation](<https://devfeed.tech/articles/beyond-vlas-how-world-action-models-reshape-robot-manipulation-6764.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/beyond-vlas-how-world-action-models-reshape-robot-manipulation/>)

Author: Michelle Horton

Published: 2026-08-04T16:00:00Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Robotics](<https://devfeed.tech/topics/robotics.md>), [World models](<https://devfeed.tech/topics/world-models.md>), [vlm](<https://devfeed.tech/topics/vlm.md>), [post-training](<https://devfeed.tech/topics/post-training.md>), [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [NVIDIA Research](<https://devfeed.tech/topics/nvidia-research.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [featured](<https://devfeed.tech/tags/featured.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-research](<https://devfeed.tech/tags/nvidia-research.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [post-training](<https://devfeed.tech/tags/post-training.md>), [robot-manipulation](<https://devfeed.tech/tags/robot-manipulation.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>), [thor](<https://devfeed.tech/tags/thor.md>), [vlm](<https://devfeed.tech/tags/vlm.md>), [world-model](<https://devfeed.tech/tags/world-model.md>), [zero-shot](<https://devfeed.tech/tags/zero-shot.md>)

### AI overview

The article explains how World Action Models (WAMs) use video world models as backbones for robot policies, addressing the physical-generalization limitations of vision-language-action models. It discusses post-training WAMs into specialized policies and presents NVIDIA Cosmos 3 as a foundation for building them.

### Source excerpt

A central challenge in robotics is building policies that generalize beyond the demonstrations they're trained on. A policy that succeeds in a training scene...

## Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super

DevFeed: [Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super](<https://devfeed.tech/articles/generate-trajectories-reasoning-traces-and-auto-labels-with-nvidia-alpamayo-2-super-6828.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/generate-trajectories-reasoning-traces-and-auto-labels-with-nvidia-alpamayo-2-super/>)

Author: Elizabeth Goodman

Published: 2026-08-04T15:00:00Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [GitHub](<https://devfeed.tech/topics/github.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Open Source Models & Datasets](<https://devfeed.tech/topics/open-source-models-datasets.md>)

Tags: [accelerate](<https://devfeed.tech/tags/accelerate.md>), [automotive-transportation](<https://devfeed.tech/tags/automotive-transportation.md>), [autonomous](<https://devfeed.tech/tags/autonomous.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [customization](<https://devfeed.tech/tags/customization.md>), [data](<https://devfeed.tech/tags/data.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [developers](<https://devfeed.tech/tags/developers.md>), [development](<https://devfeed.tech/tags/development.md>), [diffusion](<https://devfeed.tech/tags/diffusion.md>), [drive](<https://devfeed.tech/tags/drive.md>), [driving](<https://devfeed.tech/tags/driving.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [featured](<https://devfeed.tech/tags/featured.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [generate](<https://devfeed.tech/tags/generate.md>), [generation](<https://devfeed.tech/tags/generation.md>), [github](<https://devfeed.tech/tags/github.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [learning](<https://devfeed.tech/tags/learning.md>), [models](<https://devfeed.tech/tags/models.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [robot-navigation](<https://devfeed.tech/tags/robot-navigation.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>), [top-stories](<https://devfeed.tech/tags/top-stories.md>)

### AI overview

NVIDIA Alpamayo 2 Super is an open 34-billion-parameter reasoning vision-language-action model for autonomous vehicle development. It combines NVIDIA Cosmos 3 Super Reasoner with a diffusion-based Action Expert to generate trajectories, reasoning traces, meta-actions, scene answers, and auto-labels across development workflows.

### Source excerpt

Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding, and data...

## Developing Healthcare Robotics with GPU-Native Medical Physics Simulation

DevFeed: [Developing Healthcare Robotics with GPU-Native Medical Physics Simulation](<https://devfeed.tech/articles/developing-healthcare-robotics-with-gpu-native-medical-physics-simulation-6808.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/developing-healthcare-robotics-with-gpu-native-medical-physics-simulation/>)

Author: Michelle Horton

Published: 2026-07-28T20:49:21Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Isaac for Healthcare](<https://devfeed.tech/topics/isaac-for-healthcare.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Medical imaging](<https://devfeed.tech/topics/medical-imaging.md>), [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [data](<https://devfeed.tech/tags/data.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [healthcare](<https://devfeed.tech/tags/healthcare.md>), [isaac](<https://devfeed.tech/tags/isaac.md>), [isaac-for-healthcare](<https://devfeed.tech/tags/isaac-for-healthcare.md>), [isaac-sim](<https://devfeed.tech/tags/isaac-sim.md>), [medical-imaging](<https://devfeed.tech/tags/medical-imaging.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [physics](<https://devfeed.tech/tags/physics.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>), [warp](<https://devfeed.tech/tags/warp.md>), [world-model](<https://devfeed.tech/tags/world-model.md>)

### AI overview

The article presents NVIDIA's open source, GPU-accelerated Medical Physics Simulation framework for healthcare robotics. It addresses limited medical robotics data, poor generalization, and slow development by enabling anatomical digital twins, device-anatomy and medical imaging simulation, and GPU-scale reinforcement learning within Isaac for Healthcare, Isaac Sim, and Isaac Lab.

### Source excerpt

Unlike autonomous driving or industrial robotics, healthcare robotics can't rely on internet-scale data collection or unlimited real-world experimentation....

## NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics

DevFeed: [NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics](<https://devfeed.tech/articles/nvidia-cosmos-h-dreams-bringing-real-time-generative-simulation-to-surgical-robotics-7378.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/nvidia/cosmos-h-dreams>)

Author: Lukas Zbinden; Javier Gamazo; Mostafa Toloui; Sean Huver

Published: 2026-07-27T09:32:20Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [Synthetic Data Generation](<https://devfeed.tech/topics/synthetic-data-generation.md>), [synthetic-data](<https://devfeed.tech/topics/synthetic-data.md>), [data](<https://devfeed.tech/topics/data.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Inference](<https://devfeed.tech/topics/inference.md>)

Tags: [cosmos](<https://devfeed.tech/tags/cosmos.md>), [data](<https://devfeed.tech/tags/data.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [generation](<https://devfeed.tech/tags/generation.md>), [generative](<https://devfeed.tech/tags/generative.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [synthetic-data](<https://devfeed.tech/tags/synthetic-data.md>), [synthetic-data-generation](<https://devfeed.tech/tags/synthetic-data-generation.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

NVIDIA introduces Cosmos-H-Dreams, a real-time, action-conditioned generative simulator for surgical robotics. The model generates future surgical video from an initial RGB frame and live robot kinematics, enabling interactive closed-loop control, offline policy evaluation, and synthetic data generation.

### Source excerpt

World foundation models offer a different path. Instead of manually authoring every object and physical interaction, they learn visual dynamics directly from synchronized video and robot kinematics. NVIDIA's Cosmos-H-Surgical-Simulator demonstrated this approach by generating future surgical video from an initial scene and a sequence of robot actions. It enabled faster-than-physical evaluation and synthetic data generation across the Open-H-Embodiment ecosystem.

## Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills

DevFeed: [Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills](<https://devfeed.tech/articles/post-train-nvidia-cosmos-3-in-one-day-using-agent-skills-6922.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/post-train-nvidia-cosmos-3-in-one-day-using-agent-skills/>)

Author: Tanya Lenz

Published: 2026-07-14T16:00:00Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Agent Skills](<https://devfeed.tech/topics/agent-skills.md>), [post-training](<https://devfeed.tech/topics/post-training.md>), [lora](<https://devfeed.tech/topics/lora.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>)

Tags: [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [computer-vision-video-analytics](<https://devfeed.tech/tags/computer-vision-video-analytics.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [featured](<https://devfeed.tech/tags/featured.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [lora](<https://devfeed.tech/tags/lora.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [post-training](<https://devfeed.tech/tags/post-training.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>), [training-ai-models](<https://devfeed.tech/tags/training-ai-models.md>)

### AI overview

A tutorial on post-training NVIDIA Cosmos 3 Nano for video question answering with coding-agent skills, LoRA, and TAO AutoML configuration sweeps.

### Source excerpt

What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning...

## LeRobot v0.6.0: Imagine, Evaluate, Improve

DevFeed: [LeRobot v0.6.0: Imagine, Evaluate, Improve](<https://devfeed.tech/articles/lerobot-v0-6-0-imagine-evaluate-improve-7329.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/lerobot-release-v060>)

Author: Steven Palma; Pepijn Kooijmans; Caroline Pascal; Khalil Meftah; Maxime Ellerbach; Martino Russi; Nikodem Bartnik; Nicolas Rabault; Thomas Wolf

Published: 2026-07-07T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [lerobot](<https://devfeed.tech/topics/lerobot.md>), [World models](<https://devfeed.tech/topics/world-models.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>), [vlm](<https://devfeed.tech/topics/vlm.md>), [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [cli](<https://devfeed.tech/tags/cli.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [lerobot](<https://devfeed.tech/tags/lerobot.md>), [models](<https://devfeed.tech/tags/models.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [science](<https://devfeed.tech/tags/science.md>), [training](<https://devfeed.tech/tags/training.md>), [vlm](<https://devfeed.tech/tags/vlm.md>), [world-model](<https://devfeed.tech/tags/world-model.md>)

### AI overview

LeRobot v0.6.0 adds world-model policies, new vision-language-action models, reward-model APIs, simulation benchmarks, human-in-the-loop CLI corrections, FSDP and cloud training. It also expands dataset capabilities with depth support, automated language annotation, custom video encoding, and faster data loading.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Cosmos is a shared platform for coordinating AI agents across software development workflows

DevFeed: [Cosmos is a shared platform for coordinating AI agents across software development workflows](<https://devfeed.tech/articles/agentic-engineering-needs-its-own-tools-30008.md>)

Original publisher: [Read original article](<https://www.augmentedswe.com/p/agentic-engineering-needs-its-own>)

Author: Jeff Morhous

Published: 2026-06-24T10:16:51Z

Content type: opinion

Language: en

Sources: [The AI-Augmented Engineer](<https://devfeed.tech/sources/the-ai-augmented-engineer.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [agentic-engineering](<https://devfeed.tech/topics/agentic-engineering.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-engineering](<https://devfeed.tech/tags/agentic-engineering.md>), [ai](<https://devfeed.tech/tags/ai.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [generation](<https://devfeed.tech/tags/generation.md>), [software-development](<https://devfeed.tech/tags/software-development.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

The article argues that AI agents are moving software development beyond the IDE and that teams need an operating model for coordinating agent-driven work. It presents Cosmos, Augment's unified cloud agents platform, as a shared system for workflows including triage, specification, implementation, review, testing, deployment, and feedback.

### Source excerpt

Cosmos is a new tool for AI-native engineering teams

## NVIDIA Cosmos Reason 2 Brings Advanced Reasoning To Physical AI

DevFeed: [NVIDIA Cosmos Reason 2 Brings Advanced Reasoning To Physical AI](<https://devfeed.tech/articles/nvidia-cosmos-reason-2-brings-advanced-reasoning-to-physical-ai-7400.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/nvidia/nvidia-cosmos-reason-2-brings-advanced-reasoning>)

Author: Tsung-Yi Lin; Debraj Sinha

Published: 2026-01-05T22:56:51Z

Content type: release

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Physical AI](<https://devfeed.tech/topics/physical-ai.md>), [vlm](<https://devfeed.tech/topics/vlm.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Video Analytics](<https://devfeed.tech/topics/video-analytics.md>), [long-context](<https://devfeed.tech/topics/long-context.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [data](<https://devfeed.tech/topics/data.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [data](<https://devfeed.tech/tags/data.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [long-context](<https://devfeed.tech/tags/long-context.md>), [models](<https://devfeed.tech/tags/models.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [ocr](<https://devfeed.tech/tags/ocr.md>), [open](<https://devfeed.tech/tags/open.md>), [performance](<https://devfeed.tech/tags/performance.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [physics](<https://devfeed.tech/tags/physics.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [vision](<https://devfeed.tech/tags/vision.md>)

### AI overview

NVIDIA released Cosmos Reason 2, an open reasoning vision-language model for physical AI. The model is designed to help robots and AI agents understand, plan, and act in the physical world, with improved spatio-temporal reasoning, visual perception, OCR, long-context input, and deployment from edge to cloud.

### Source excerpt

NVIDIA today released Cosmos Reason 2, the latest advancement in open, reasoning vision language models for physical AI. Cosmos Reason 2 surpasses its previous version in accuracy and tops the Physical AI Bench and Physical Reasoning leaderboards as the #1 open model for visual understanding. Since their introduction, vision-language models have rapidly improved at tasks like object and pattern recognition in images.

## Carl Sagan's Cosmos and the changing boundaries of the unknown

DevFeed: [Carl Sagan's Cosmos and the changing boundaries of the unknown](<https://devfeed.tech/articles/making-the-unknown-known-21580.md>)

Original publisher: [Read original article](<https://maryrosecook.com/blog/post/making-the-unknown-known>)

Published: 2025-10-14T07:00:00Z

Content type: opinion

Language: en

Sources: [Mary Rose Cook](<https://devfeed.tech/sources/mary-rose-cook.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Learning](<https://devfeed.tech/topics/learning.md>)

Tags: [cosmos](<https://devfeed.tech/tags/cosmos.md>), [learning](<https://devfeed.tech/tags/learning.md>), [space](<https://devfeed.tech/tags/space.md>)

### AI overview

The article reflects on how Carl Sagan's Cosmos moves from the vastness of space to Earth and Alexandria, tracing humanity's transition from geographic ignorance to a world that is largely known. It then returns to space as the remaining vast unknown.

### Source excerpt

Cosmos, the book by Carl Sagan, does something remarkable. It starts in a distant part of the universe. It does a slow zoom, through desolate space, through groups of galaxies, through the Milky Way, through a remote arm of the Milky Way, through the solar system, past the most distant plants, finally into Earth. It shows us as a tiny note of dust in an obscure part of the universe. Then, it moves to one of the early civilizations, in Alexandria. To Alexander's ideals of learning, his great library. It shows how, at that time, Earth was vast, unknown, many parts a mental blank. And it traces the change from that blankness to continents being connected within a human life span. Civilizations becoming known to one other. Until, finally, there are no unknown parts of Earth. No unknown continents or peoples. The rest of Earth was once other, but now it's us. The book returns to the question of space. Vast, unknown. Just like Earth once was.

## NVIDIA's GTC 2025 Announcement for Physical AI Developers: New Open Models and Datasets

DevFeed: [NVIDIA's GTC 2025 Announcement for Physical AI Developers: New Open Models and Datasets](<https://devfeed.tech/articles/nvidia-s-gtc-2025-announcement-for-physical-ai-developers-new-open-models-and-datasets-7370.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/nvidia-physical-ai>)

Author: Ming-Yu Liu; Hanzi Mao; Jinwei Gu; Pranjali Joshi; Asawaree

Published: 2025-03-18T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Physical AI](<https://devfeed.tech/topics/physical-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>), [Synthetic Data Generation](<https://devfeed.tech/topics/synthetic-data-generation.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [autonomous vehicles](<https://devfeed.tech/topics/autonomous-vehicles.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Isaac](<https://devfeed.tech/topics/isaac.md>), [Omniverse](<https://devfeed.tech/topics/omniverse.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [autonomous-vehicles](<https://devfeed.tech/tags/autonomous-vehicles.md>), [community](<https://devfeed.tech/tags/community.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [isaac](<https://devfeed.tech/tags/isaac.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [omniverse](<https://devfeed.tech/tags/omniverse.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [research](<https://devfeed.tech/tags/research.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [synthetic-data-generation](<https://devfeed.tech/tags/synthetic-data-generation.md>)

### AI overview

NVIDIA announces Cosmos Transfer, an open world foundation model that generates controllable, photorealistic video scenes from structured inputs such as depth maps, trajectories, LiDAR scans, and 3D bounding boxes. Together with NVIDIA Omniverse, it supports synthetic data generation for robotics and autonomous vehicle development. NVIDIA also introduces an open Physical AI Dataset on Hugging Face and the Isaac GR00T N1 foundation model for humanoid robot reasoning.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Ethereum Foundation Announces Devcon4 Sponsors and Supporters

DevFeed: [Ethereum Foundation Announces Devcon4 Sponsors and Supporters](<https://devfeed.tech/articles/announcing-our-dc-v-sponsors-and-supporters-16835.md>)

Original publisher: [Read original article](<https://blog.ethereum.org/en/2018/10/18/announcing-our-dciv-sponsors-and-supporters>)

Author: Deva the Devcon Unicorn

Published: 2018-10-18T00:00:00Z

Content type: release

Language: en

Sources: [Ethereum Foundation Blog](<https://devfeed.tech/sources/ethereum-foundation-blog.md>)

Topics: [Ethereum](<https://devfeed.tech/topics/ethereum.md>), [Mainframe](<https://devfeed.tech/topics/mainframe.md>), [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>)

Tags: [announce](<https://devfeed.tech/tags/announce.md>), [community](<https://devfeed.tech/tags/community.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [devcon](<https://devfeed.tech/tags/devcon.md>), [ethereum](<https://devfeed.tech/tags/ethereum.md>), [events](<https://devfeed.tech/tags/events.md>), [mainframe](<https://devfeed.tech/tags/mainframe.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>)

### AI overview

The Ethereum Foundation announces the sponsors and supporters for Devcon4, organized across multiple sponsorship tiers. The article also describes scholarship, grant, and community sponsorship programs, including more than $20 million in grants issued in 2018 to date.

### Source excerpt

Přátelé, Today, we're excited to unveil our Devcon4 Sponsors. Each of this year's six tiers of sponsorship is supporting the Foundation's work in significant and impactful ways. We're thrilled to involve many major and growing teams in Devcon, and to make the most of this opportunity to support the...