HomeApple Clarifies Gemini Rumors: Siri AI to Be Built In-House
Following the 2026 Worldwide Developers Conference (WWDC), Apple addressed media inquiries regarding rumors that its new AI infrastructure was merely a "Gemini shell." The company clarified that Apple Foundation Models (AFM) are not a rebranding of Google’s Gemini technology but are instead fully developed in-house and operate independently.
Apple explained that while the AFM models leveraged Google’s Gemini technology during the distillation and training phases, the final output relies entirely on Apple’s proprietary code, infrastructure, and datasets. Consequently, users do not interact directly with Google’s source code or Gemini intelligence, nor does the system connect to Google services.
The Apple Foundation Models ecosystem currently comprises five distinct models. The edge-focused AFM Core handles fundamental AI tasks, while AF Core Advanced employs a sparse architecture with native multimodal capabilities to support complex local operations. For cloud-based demands, AFM Cloud manages high-volume requests, M Cloud Image specializes in image generation and editing, and AFM Cloud Pro is engineered for agent-based tools and intensive workloads. Each model is optimized for Apple Silicon and trained on proprietary data, with distillation assistance from Gemini.
Apple further noted that although its cloud models utilize Google Cloud servers and NVIDIA graphics processing units, they maintain Private Cloud Compute certification to guarantee user data security and privacy compliance.
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Following the 2026 Worldwide Developers Conference (WWDC), Apple addressed media inquiries regarding rumors that its new AI infrastructure was merely a "Gemini shell." The company clarified that Apple Foundation Models (AFM) are not a rebranding of Google’s Gemini technology but are instead fully developed in-house and operate independently.
Apple explained that while the AFM models leveraged Google’s Gemini technology during the distillation and training phases, the final output relies entirely on Apple’s proprietary code, infrastructure, and datasets. Consequently, users do not interact directly with Google’s source code or Gemini intelligence, nor does the system connect to Google services.
The Apple Foundation Models ecosystem currently comprises five distinct models. The edge-focused AFM Core handles fundamental AI tasks, while AF Core Advanced employs a sparse architecture with native multimodal capabilities to support complex local operations. For cloud-based demands, AFM Cloud manages high-volume requests, M Cloud Image specializes in image generation and editing, and AFM Cloud Pro is engineered for agent-based tools and intensive workloads. Each model is optimized for Apple Silicon and trained on proprietary data, with distillation assistance from Gemini.
Apple further noted that although its cloud models utilize Google Cloud servers and NVIDIA graphics processing units, they maintain Private Cloud Compute certification to guarantee user data security and privacy compliance.
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