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AI 资讯

GKE Security Blueprint Joins Growing List of Cloud AI Frameworks

Google Cloud has published a new blueprint setting out how organisations should secure artificial intelligence workloads running on Google Kubernetes Engine, arguing that the shift from prototype to production has outpaced traditional security models. The document sets out a three layer approach covering infrastructure, model integrity and application security. By Matt Saunders

2026-07-22 原文 →
AI 资讯

Google's AlphaEvolve Reaches General Availability with Evolutionary Code Optimization as a Service

Google's AlphaEvolve reached general availability on the Gemini Enterprise Agent Platform, turning the DeepMind research project into an evolutionary code optimization service. Evaluators run client-side so code never leaves the customer's infrastructure. Klarna doubled ML training throughput; practitioners note it only works where a measurable evaluation function exists. By Steef-Jan Wiggers

2026-07-19 原文 →
开发者

Google's Genkit Ships Agents API with Detached Turns and Human-in-the-Loop for TypeScript and Go

Google released the Genkit Agents API in preview for TypeScript and Go. The open-source framework packages message history, tool loops, streaming, and state persistence behind a single chat() interface. Detached turns let agents work after clients disconnect. Interruptible tools provide human-in-the-loop control with anti-forgery validation on resume. By Steef-Jan Wiggers

2026-07-14 原文 →
AI 资讯

AlloyDB Ships Proxy Models That Replace LLM Calls with Local Inference Inside the Database

Google shipped AlloyDB AI functions GA with a proxy model architecture that trains a lightweight local model from LLM outputs, then runs queries at database speed without external calls. Smart batching delivers 2,400x throughput improvement. The proxy model reaches 100,000 rows per second in preview, but benchmark numbers apply only to ai.if in internal testing. By Steef-Jan Wiggers

2026-07-09 原文 →