US Foundation Models by Company

OpenAI: GPT, Codex, and the Most Widely Used AI Products

A comprehensive overview of OpenAI's model portfolio — from GPT-5.5 (April 23, 2026, the new agentic flagship) through Codex and GPT Image 2 — and the company's unique position as the maker of both the most-used AI product and the most capable frontier models.

Anthropic: Claude and Safety-Focused AI

Understand Anthropic's origin, its safety-first research mission, the Claude model family — Opus 4.7, Sonnet, and Haiku — and the latest developments including Claude Mythos Preview, Claude Cowork, Managed Agents, and Claude Design.

Google DeepMind: Gemini, Gemma, and Veo

Explore Google DeepMind's comprehensive model portfolio — Gemini 3 Pro and Flash, Gemma 4, Nano Banana image generation, and Veo 3 video — and understand Google's unique advantages in AI infrastructure and data.

xAI and Grok

Explore xAI's approach to AI — now merged with SpaceX in a $1.25 trillion combined entity — the Colossus data center, real-time X/Twitter data, the Grok model family including Grok 4.20's multi-agent capabilities, the new Terafab chip foundry joint venture, and the April 2026 SpaceX option to acquire Cursor that extends the AI coding stack.

Microsoft: Phi Series and Copilot

Understand Microsoft's dual AI strategy — its OpenAI partnership (now restructured by the April 2026 amendment as a primary-not-exclusive cloud relationship), and its own Phi series of small, highly capable models — plus Microsoft 365 Copilot as the most-deployed enterprise AI product globally.

Meta AI: The Open-Source Strategy

Explore Meta's evolving AI strategy — from open-source Llama models to the proprietary Muse Spark flagship from Meta Superintelligence Labs — and how Llama 4 Maverick, Llama 4 Scout, and Llama 3.3 70 billion fit different deployment scenarios.

Amazon AWS: Nova Models and the Bedrock Platform

Explore Amazon's AI model portfolio — the Nova series — and Amazon Bedrock's role as the enterprise multi-model platform hosting 50+ models including Claude, Llama, and Amazon's own models.

Open vs. Closed Source AI: A Decision Framework

Understand what open and closed source actually mean for AI models, the strategic reasons companies choose each approach, and a practical framework for deciding which to use in different situations.