Our teams have been busyyy! Here are some key updates from the past week: — @GoogleCloud unveiled a suite of AI innovations at our Cloud Next event, including our eighth generation TPUs (TPUt for inference + TPUi for reasoning), Gemini Enterprise Agent Platform, Agentic Data
AGENTS
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Google adds auto-labeling for Sources in NotebookLM
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Google is rolling out auto-labeling for Sources on @NotebookLM
— 🚨 AI News | TestingCatalog (@testingcatalog) 24 avril 2026
Did you get it already? 👀 pic.twitter.com/vq2HhCOlICGoogle is rolling out auto-labeling for Sources on @NotebookLM Did you get it already?
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AI Tool for Community Analysis and Platform Balance
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I see many making that point, and did an audio space with @BrianRoemmele this week. Hope @ElonMusk and @nikitabier figure out how to keep the whales while also helping make the product great for new and smaller accounts too. Me? I made an AI to help me see the AI community here
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GPT-5.5 reduces computer credits consumption for task orchestration
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You would consume less computer credits (and be able to run more tasks as a result) if you switched to GPT-5.5 as your default orchestrator. This was the number one complaint about Computer (being credits/token hungry). GPT 5.5 is more token-efficient in subagent orchestration.
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DeepSeek-V4 Million-Token Context LLM Agentic Workflows
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DeepSeek-V4 is here — a million-token context, 1.6T parameter powerhouse optimized for agentic workflows. Out of the box, on DeepSeek-V4-Pro, NVIDIA Blackwell Ultra delivers over 150 TPS/user interactivity for agentic workflows. And we’re just getting started. Expect these
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Cursor 3.2 Releases New Agents Window Features
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Download Cursor 3.2 to try these new features in the agents window:
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Improved Worktrees Enable Parallel Task Execution Across Branches
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Another way to parallelize work is with new and improved worktrees in the agents window.
— Cursor (@cursor_ai) 24 avril 2026
Run isolated tasks in the background across different branches. When you're ready to test changes, move any branch into your local foreground with one click. pic.twitter.com/h8H0Uc643YAnother way to parallelize work is with new and improved worktrees in the agents window. Run isolated tasks in the background across different branches. When you're ready to test changes, move any branch into your local foreground with one click.
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Multi-root workspaces enable cross-repo agent sessions
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We've also added multi-root workspaces for cross-repo changes.
— Cursor (@cursor_ai) 24 avril 2026
A single agent session can now target a reusable workspace made of multiple folders. pic.twitter.com/VPiwdqAFigWe've also added multi-root workspaces for cross-repo changes. A single agent session can now target a reusable workspace made of multiple folders.
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New AI Agents Interface Transforms How People Create Work
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each piece of this week's launches is individually useful, but together, they start to feel like a new way to work with computers: a new interface for how people create, for how an agent can maintain necessary context, and for getting your computer to do any task you want.
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Claude Plays Pokémon Becomes Legitimate Agent Benchmark
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Claude Plays Pokémon turning into a legit agent benchmark is awesome