ToolsThe story, in brief
Google's NotebookLM now runs its own cloud computer with code execution and agent-based research
NotebookLM just went autonomous. Code execution, agent-based research, cloud compute—all built in. Internal tests show 78.2% win rate vs. the old version.
The KeyNews take
Why it matters
Google is shipping agentic capabilities into a consumer research tool, moving beyond chat interfaces to autonomous workflows. This signals how quickly AI product teams are moving from copilot → agent architectures in real applications.
The key facts
6 to knowNotebookLM upgraded to Gemini 3.5 Flash
Now includes cloud-based code execution
Agent-based source discovery via Google Search integration
Internal A/B testing shows 78.2% win rate vs. previous version
Agentic research capabilities (autonomous source finding)
Published June 10, 2026
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: Google is giving NotebookLM a major upgrade. The research tool now runs on Gemini 3.5 Flash, has its own cloud computer for code execution, and can find sources on its own via Google Search. In internal tests, the new system beat the previous version up to 78.2 percent of the time.