October 28, 2026
7 curated links on AI agents, Python, security, Google Cloud, and engineering, selected by Médéric Hurier.
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Genie 4: A new generation of world simulation
deepmind.google
Introduces Google DeepMind's foundational world model that anchors real-time interactive environments on Gemini Omni with native spatial audio generation, live natural-language scene steering, and Gemini 4 Argon reasoning for embodied agent training.
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Gemini Robotics Embodied Reasoning 2 is now available on Google Cloud
cloud.google.com
Launches public preview endpoints for the Gemini Robotics ER 2 model on Google Cloud and AI Studio, bringing spatio-temporal video stream analysis, multi-minute long-horizon planning, tool calling, and multi-robot coordination to physical AI fleets.
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8 examples of Gemini 4 Argon in action
blog.google
Demonstrates Gemini 4 Argon's long-horizon reasoning and multimodal tool orchestration across eight workloads, including writing a 5,000-line zero-dependency 3D renderer, driving Blender via MCP to turn desk photos into a playable 3D game, and synthesizing 80,000 NASA Mars flight files into executive slide decks.
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Fast, reliable A2UI, with swappable inference formats
developers.googleblog.com
Upgrades the open Agent-to-UI (A2UI) protocol across Python, TypeScript, and Dart SDKs with swappable DSLs that compile deterministically to A2UI messages, cutting layout latency 3x via the Python-inspired A2UI Express format and up to 80x through controlled generation with Jev decision models.
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Building Conversational Commerce with Multi-Agent Swarms on GCP: A Working Prototype
developers.googleblog.com
Details a reference architecture on Google Cloud that replaces rigid retail chatbots with collaborative multi-agent swarms built on the Agent Development Kit (ADK), Vertex AI Agent Engine, and MCP/A2A protocols to coordinate discovery, inventory, promotions, and checkout with deterministic guardrails.
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Gemini Updates: Powering Enterprise AI Agents
youtube.com
Showcases the latest Gemini Enterprise platform capabilities for building, governing, and orchestrating multi-step autonomous agents across corporate data and third-party SaaS ecosystems with the Agent2Agent (A2A) protocol and role-based access controls.
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The AI bubble is about to pop...
youtube.com
Compares current hyperscaler AI capital expenditures and chip infrastructure buildouts against historical railroad, telecom, and dot-com boom-bust cycles to evaluate the financial risks of an AI market correction.