How do we move from language models that only answer prompts to systems that can reason over million token contexts, understand real world signals, and reliably act as agents on our behalf? Google just released Gemini 3 family with Gemini 3 Pro as the centerpiece that positions as a major step toward more general AI […] The post Google’s Gemini 3 Pro turns sparse MoE and 1M token context into a practical engine for multimodal agentic workloads appeared first on MarkTechPost .