2 entries with this tag
Apple's WWDC 2026 unveiled Siri AI — a ground-up rebuild powered by the third-generation Apple Foundation Models (AFM 3), a five-model family spanning from a 3B on-device core to a 20B sparse on-device MoE to three server-based models including one running on Google Cloud via extended Private Cloud Compute. The architecture introduces Instruction-Following Pruning for NAND-based expert routing, a dedicated Siri app with iCloud-synced conversation history, Visual Intelligence across all platforms, and the boldest privacy guarantees in consumer AI. This article analyses the full AFM 3 architecture, the Siri AI experience, the Google Cloud PCC extension, and what it means for the on-device AI frontier.
Tabnine was named the sole Visionary in Gartner's 2026 Magic Quadrant for Enterprise AI Coding Agents. While the four Leaders (GitHub, Anthropic, OpenAI, Cursor) compete on model quality and agent speed, Tabnine is playing a different game: organizational context, governance, and deployment flexibility. This article examines the Enterprise Context Engine, Tabnine's model-agnostic architecture, and why context — not code — may be the defining layer of enterprise AI.