Twelve dimensions across seven providers. Re-graded as announcements land, with the market's reaction shown alongside.
Open weights everywhere, AI inside the world's social graph.
Distribution at the scale of WhatsApp, Instagram, and Ray-Ban glasses, plus the open-weights model ecosystem the entire industry builds on. Light on enterprise, cross-app orchestration, and a coherent agent platform.
Llama is strong and improving, a notch below the very top frontier models.
Limited shipped agentic product; capability lives in the open ecosystem more than in Meta AI.
Meta AI in WhatsApp/Instagram and voice on Ray-Ban glasses make interaction ambient and natural.
Little orchestration beyond Meta's own apps.
The social graph is rich context, but it isn't a personal-assistant memory in the productivity sense.
Open weights mean the entire industry builds on Llama, an enormous indirect ecosystem reach.
The Llama API and Llama Stack plus open weights give developers maximum control and portability.
Owns its models and an open-weights strategy that shapes the whole field; building its own silicon.
Unmatched consumer reach, but no clear agent runtime, permissions model, or platform yet.
Quantized Llama runs on-device and powers the Ray-Ban glasses edge experience.
Minimal enterprise sales motion, governance tooling, or compliance story.
Open weights empower the ecosystem, but Meta itself isn't building a governable control plane.
Pushing ambient, on-device AI through glasses and open weights: reach without (yet) a platform.
Meta AI across billions of users and the open-weights ecosystem the field builds on.
Next Llama plus AR glasses could make Meta the ambient on-device leader.
Business Agent rolls out across WhatsApp, Instagram, and Messenger, marking Meta's push into agentic commerce.
Meta's plan to ship four inference-optimized MTIA chips in two years: purpose-built silicon over general GPUs.
Profiles the ~50-person TBD Lab at the core of Meta's superintelligence reorganization.
Each giant's AI strategy flows from its computing philosophy; Meta's 'personal superintelligence' is augmentation.
How Apple, Google, Meta, Microsoft, and Amazon are differently positioned across infrastructure, models, and distribution.
Camera-based AI on by default and stored voice recordings: the privacy stakes of glasses as an always-on AI surface.
The Meta AI app, built on Llama 4, leans on Facebook/Instagram profile data for personalized assistance.
The Llama API preview (OpenAI-SDK compatible) and Llama Stack partner integrations: Meta's developer-platform play.
Meta submitted an experimental chat variant to LMArena that differed from the public weights, a credibility hit.
Zuckerberg's four AI bets, and the argument that Meta spends enormously yet lacks a coherent direction.
Llama Stack standardizes agentic app development across on-prem, cloud, and on-device via a unified API.