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Global Tech Council

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2,242+ research articles, technical guides, and in-depth analyses authored by council members and industry experts.

Latest Articles

2,242 articles

Meet Google Playground
AIOct 8, 2026

Meet Google Playground: Create Games With AI

Meet Google Playground, Google's new experimental platform that lets you create, play, and share custom games with text prompts. Learn how it works, basic game design tips, a sample session, safety and sharing features, Unity Spark plans, and limits.

Suyash Raizada
OpenAI Dots vs Grok Bot vs Muse
AIOct 1, 2026

OpenAI Dots vs Grok Bot vs Muse

Compare OpenAI Dots, Grok Bot, and Meta Muse to understand how these persistent AI agents differ in cloud computer use, connected apps, automation, memory, and long-running workflows.

Suyash Raizada
What Is OpenAI Dots?
AISep 30, 2026

What Is OpenAI Dots?

Learn what OpenAI Dots are, how these always-on AI agents work, and how they use GPT-6 Astra, cloud computers, connected apps, and persistent context to manage ongoing tasks.

Suyash Raizada
OpenAI Launches GPT 6.1-Sol
AISep 30, 2026

OpenAI Launches GPT 6.1-Sol

OpenAI launches GPT-6.1 Sol, a powerful reasoning model delivering near-Astra performance at lower cost for coding, computer use, multi-agent workflows, and professional tasks.

Suyash Raizada
How Jev Fits Into an AI Stack
AISep 28, 2026

How Jev Fits Into an AI Stack

Learn how Jev fits into an AI stack as a machine-native decision layer that provides typed, probabilistic outputs for applications, agents, workflows, and automation systems.

Suyash Raizada
How to Crack AI Roles in Companies Like OpenAI & Emergent
AISep 27, 2026

How to Crack AI Roles in Companies Like OpenAI & Emergent

Learn how to prepare for AI roles at companies like OpenAI and Emergent by developing in-demand technical skills, building strong projects, gaining practical experience, and preparing for interviews.

Suyash Raizada
NVIDIA’s New AI Models: Nemotron 3.5 Lightning, Cosmos 3 and the Future of Agentic AI
AISep 25, 2026

NVIDIA’s New AI Models: Nemotron 3.5 Lightning, Cosmos 3 and the Future of Agentic AI

Explore NVIDIA Nemotron 3.5 Lightning and Cosmos 3, how they support agentic and Physical AI, and what these models reveal about NVIDIA’s evolving vision for autonomous intelligent systems.

Suyash Raizada
How NVIDIA Cosmos 3 Enables Physical AI and Multi-Agent Workflows
AISep 25, 2026

How NVIDIA Cosmos 3 Enables Physical AI and Multi-Agent Workflows

Explore how NVIDIA Cosmos 3 enables Physical AI and agent-based workflows through multimodal reasoning, world simulation, action generation, synthetic data, and autonomous system development.

Suyash Raizada
NVIDIA Nemotron 3.5 Lightning vs NVIDIA Cosmos 3
AISep 25, 2026

NVIDIA Nemotron 3.5 Lightning vs NVIDIA Cosmos 3: Key Differences and Use Cases

Compare NVIDIA Nemotron 3.5 Lightning and NVIDIA Cosmos 3, including their architectures, capabilities, performance goals, and use cases across agentic AI and Physical AI.

Suyash Raizada
NVIDIA Cosmos 3 Explained
AISep 25, 2026

NVIDIA Cosmos 3 Explained: The Next Generation of Physical AI

Explore NVIDIA Cosmos 3, an open foundation model for Physical AI that combines vision reasoning, world generation, multimodal understanding, and action prediction for robotics and autonomous systems.

Suyash Raizada
NVIDIA Nemotron 3.5 Lightning
AISep 25, 2026

NVIDIA Nemotron 3.5 Lightning: What It Is and How It Advances AI Reasoning

Explore NVIDIA Nemotron 3.5 Lightning, a reasoning-capable 30B MoE model designed for efficient agentic AI, coding, tool use, long-context tasks, and low-latency inference.

Suyash Raizada
Jev for Software Automation
AISep 25, 2026

Jev for Software Automation

Explore how Jev supports software automation with fast, typed, probabilistic decisions for routing, scoring, classification, verification, branching, and workflow control.

Suyash Raizada