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At I/O 2026 Google bundled models, runtimes, developer tooling, and consumer surfaces into one thesis: AI should act across products. Gemini 3.5 Flash, Antigravity 2.0, Managed Agents, Gemini Omni, and deeper Search/Workspace integrations treat models as actuators with distribution, orchestration, and verification included. For builders the takeaway is structural: connectors, runtimes, and verification will determine product success, not model size alone.
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Control Planes, Not Models, Decide Agent ReliabilityProduction agents fail or succeed on control planes: signed skills, trajectory‑aware evaluation, fine‑grained permissions, payload logging, and integration discipline. Vendors (NVIDIA, Databricks, Google) are building these layers because the bottleneck is not model tool-calling but bounding and observing what those calls do.
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Provenance Becomes Media Plumbing, Not Optional LabelOpenAI’s May 19, 2026 decision to join C2PA’s steering committee and embed Google’s SynthID watermark into its image outputs, combined with Google and Nvidia integrations, moves provenance from optional labeling to default media infrastructure. This raises the baseline expectation that mainstream images carry verifiable origin signals, even though it won't stop all deception.
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