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News of the day
1. NotebookLM upgrades with Gemini 3.5 Flash, its own cloud computer for code execution, and autonomous Google Search capabilities for enhanced research. → Read more
2. Apple unveils its new Siri AI, powered by Google Gemini, but initial rollout is English-only, excluding China and EU iPhones. → Read more
3. Google's Gemini 3.5 Live Translate provides real-time speech-to-speech translation in 70+ languages, preserving natural intonation and pacing for seamless communication. → Read more
4. Google DeepMind launches robotics accelerator in Europe, offering AI expertise and mentorship to 15 startups to drive physical AI innovation. → Read more
Our take
Hi Dotikers!
Yesterday, Anthropic opened its most powerful model to the general public, with a few well-placed guardrails. Today it is Google pushing the limits, but on different ground: no longer the raw model, but the complete work tool.
NotebookLM, Google's in-house research assistant, has just gone through its deepest overhaul since launch. It now runs on Gemini 3.5 and on Antigravity, Google's agentic coding platform. Each notebook gets its own computer in the cloud, able to write and run code to analyze your sources. Results export as PDFs with charts, Excel files, PowerPoint presentations or images. And a new option lets you start from scratch: NotebookLM finds its own sources through Google Search and adds them to the notebook.
The shift in philosophy is clear. The tool that once merely summarized your documents becomes an agent that runs the research for you, from sourcing to delivering the final report. According to Google's internal tests, the new version wins roughly two times out of three against the old one, a figure provided by the vendor itself, which calls for the usual caution.
Then comes the catch: all of this is reserved for AI Ultra subscribers and Workspace customers with premium access. The most gifted digital intern on the market only works for those who can afford its fees. The democratization of AI is moving forward, but it moves forward in first class first.
The question all this raises goes beyond Google: if the machine finds the sources, runs the analysis and writes the report, what exactly is left for the researcher? Proofreading, perhaps. For now.
Alex.
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