The pattern across every announcement: Google is moving from AI that answers to AI that acts. Agents that monitor. Agents that shop. Agents that manage your inbox. A compute model that charges for what you use, not how many times you click send. Whether you're building on
AUTOMATION
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Google Launches AI-Powered Information Agents for Real-Time Monitoring
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This is the one that should get your attention.
— God of Prompt (@godofprompt) 20 mai 2026
Google is launching information agents that work in the background 24/7.
You set a question. The agent monitors blogs, news sites, social posts, and real-time data across finance, shopping, and sports. It alerts you when something… https://t.co/K1eqNxIBmMThis is the one that should get your attention. Google is launching information agents that work in the background 24/7. You set a question. The agent monitors blogs, news sites, social posts, and real-time data across finance, shopping, and sports. It alerts you when something
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Key AI Announcements from Google I/O 2026
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Google I/O 2026 just satisfyingly answered every question about where Gemini is heading. New models. A personal AI agent. Compute-based pricing. Background agents that monitor the web for you. Here's everything that matters for AI operators:
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Core components of agentic AI: from thinking to doing
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Agentic AI = systems, not models • Intelligence (LLMs)
• Memory
• Tools
• Feedback loops That’s how AI moves from thinking → to doing Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #AgenticAI -
AI-enabled autonomous robot at PGA Championship
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The PGA Championship also showed what connected operations looks like when the network can support it. An AI-enabled, autonomous robot.
Autonomous. real-time. Operating across a live event environment. This is not a demo problem.
It’s an operations problem. -
Automating Podcast Playback Speed with Claude
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Writing a program with Claude that slows down podcasts with @pmarca to 0.75x speed when he is speaking but switches to 1.5x speed for other speakers just to balence everything out.
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Building Complex Multi-Agent Systems for App Development and Automation
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🚨 Agent Swarms – Multi-Agents Delegate Complex Prompts To Sub-Agents
— Abacus.AI (@abacusai) 20 mai 2026
Use Gemini 3.5 Flash, Opus 4.7 and GPT 5.5 xHIgh to create complex multi-agent system
A master agent can orchestrate several worker agents to just do things
Build full-stack apps, mobile apps and automate… pic.twitter.com/5IDAvesIgwAgent Swarms – Multi-Agents Delegate Complex Prompts To Sub-Agents Use Gemini 3.5 Flash, Opus 4.7 and GPT 5.5 xHIgh to create complex multi-agent system A master agent can orchestrate several worker agents to just do things Build full-stack apps, mobile apps and automate
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Google’s AI Agents Build Working Operating System in 12 Hours
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Google's Antigravity 2.0 built the core framework of a working operating system in 12 hours, spinning up 93 sub-agents and processing billions of tokens for under $1,000 in compute costs.
— Chubby♨️ (@kimmonismus) 20 mai 2026
On stage, the team booted Doom on the AI-built OS.
Just imagine all the possibilities in… pic.twitter.com/yT2RffsjrwGoogle's Antigravity 2.0 built the core framework of a working operating system in 12 hours, spinning up 93 sub-agents and processing billions of tokens for under $1,000 in compute costs. On stage, the team booted Doom on the AI-built OS. Just imagine all the possibilities in
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Technical challenges in AI agent monitoring and execution
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Exactly, Sandboxes & tunnels fix execution, but most agents still lack proper monitoring to even know when they fail.
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Developers build RAG and multi-agent AI pipelines on Google Cloud
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At #GoogleIO, NVIDIA and @GoogleCloud are celebrating a milestone: More than 100,000 developers have joined our joint developer community in just one year, and the platform is expanding. In the past year, members have shipped RAG applications on GKE, built multi-agent pipelines,