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sources
Check preferred sources for new Physical AI content in last 30 days
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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Check preferred sources for new Physical AI content in last 30 days
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Create or update a competitive intelligence profile for a company in the Physical AI space
Refresh company intelligence reports and generate cross-company trend analysis
Compare OSS projects and proprietary solutions for a building block, with Red Hat pick recommendation
Evaluate community health, governance, and sustainability of an OSS project
Evaluate technical architecture, code quality, dependencies, and platform fit of an OSS project
Map content to building blocks and update cross-references
Basado en la clasificación ocupacional SOC
| name | sources |
| description | Check preferred sources for new Physical AI content in last 30 days |
| user-invocable | true |
Monitor preferred sources for new Physical AI content.
/sources
When this command is invoked:
Read preferred sources from research/tools/preferred-sources.md
Check each source category (in priority order):
Preprint Searches — Architectures & Methods (Priority 1):
Preprint Searches — Physical AI Platform & Infrastructure (Priority 2):
GitHub Organizations (Priority 3):
Company Blogs — Big Tech & Research Labs (Priority 4):
Company Blogs — Startups & Emerging Players (Priority 5):
Industry News & Startup Tracking (Priority 6):
Simulation & Digital Twin Ecosystem (Priority 7):
Standards & Governance (Priority 8):
Researcher Pages (Priority 9):
Rank findings:
Present top findings:
Ask which to add: "Which would you like me to add? (e.g., 'P1, P3, E1' for Papers 1,3 and Ecosystem 1)"
Add selected items using /add workflow
Checked preferred sources (last 30 days):
PAPERS (arXiv)
P1. [2026-06-10] "V-JEPA 2.1: Temporal Coherence in Latent Space"
Authors: Bardes et al. (AMI Labs)
Extends V-JEPA with improved temporal prediction, 12% better on downstream robotics tasks
P2. [2026-06-05] "Physics-Aware World Models for Industrial Digital Twins"
Authors: Chen et al. (Siemens Research)
Combines PhysicsNeMo surrogates with world models for factory optimization
PROJECTS (GitHub)
G1. [2026-06-08] Genesis-Embodied-AI/genesis-world v0.8
New release with ROCm support and improved physics fidelity (29K stars)
ECOSYSTEM
E1. [2026-06-12] Skild AI announces $300M Series A
Building general-purpose robot foundation model, CMU spinout
Source: TechCrunch
SOLUTIONS
S1. [2026-06-01] NVIDIA Isaac ROS 4.0 released
Adds support for GR00T N1.7 inference, new perception pipeline
Source: NVIDIA Developer Blog
INDUSTRY NEWS
N1. [2026-06-07] OSRA announces ROS2 LTS support policy
5-year LTS for Iron Irwini, enterprise certification program
Source: Open Robotics Blog
Which would you like me to add? (e.g., 'P1, G1, E1')
Before presenting results: