Google just dropped NotebookLM for iOS and Android and its so good

Hey there,

Today’s post covers big moves in AI, from Google’s new app for knowledge workers, to Microsoft’s latest AI platform upgrades, to Nvidia’s vision for an AI-first world.

Let’s get into it.

In today’s post:

• NVIDIA: Jensen Huang on new chips and tech

• Microsoft: Azure AI Foundry (10 new updates)

• Google: NotebookLM is live

• Trending AI tools + resource to master AI for free

What’s Trending Today

Update

Nvidia’s next bet: Turning the real world into an AI system

At Computex 2025, Nvidia CEO Jensen Huang laid out more than product launches. He unveiled a strategy to turn AI from software into physical infrastructure.

Here's everything you need to know: 

• Nvidia introduced DGX Spark, a compact AI supercomputer for developers to train models locally, no cloud needed.

• It’s part of a push toward “AI-native” users, backed by OEMs like Dell, ASUS, and Lenovo.

• The bigger picture? “AI factories” spaces where data is processed and AI systems are created end-to-end.

• NVLink Fusion now lets Nvidia GPUs work with third-party CPUs, expanding its ecosystem dramatically.

• Physical AI was a major focus: humanoid robots, virtual simulators, and the Newton physics engine.

• Tools like Cosmos and Groot Dreams generate synthetic training data from simulated human behavior.

• Nvidia plans a national AI supercomputer in Taiwan, embedding AI into urban infrastructure itself.

Here’s what I think:

This wasn’t just a tech keynote. It was a vision of AI becoming the default layer for how cities run, machines think, and systems evolve. Whether that’s empowering or unsettling might depend on who’s building the controls and who’s left out.

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Upgrade

Microsoft’s Azure AI Foundry isn’t just a platform. It’s a full-stack agent powerhouse.

Microsoft Build 2025 revealed something big: AI development is no longer limited to research labs. With Azure AI Foundry, it’s now a toolkit for every developer, everywhere.

Here's everything you need to know about this:

• Azure AI Foundry now powers 2 billion daily enterprise searches and 100 trillion tokens each quarter.

• It includes 10,000+ open-source models, including newcomers like Grok 3 and Flux Pro 1.1.

• The Agent Service is now GA making it easy to deploy production-ready agents with enterprise data.

• New multi-agent orchestration allows agents to collaborate across clouds, solving complex tasks.

• Agentic retrieval breaks down complex queries, improving multi-part answers by up to 40%.

• New observability tools give full visibility into agent behavior and model performance.

• Entra Agent ID assigns AI agents identities with security policies just like human users.

• Trust tools include AI red teaming, Prompt Shield upgrades, and built-in compliance integrations.

• Foundry Local brings AI to the edge with offline runtimes for Windows, Mac, and Azure Arc.

• Foundry Labs is pushing the edge: autonomous ML pipelines, long-term agent memory, and biotech models.

Here’s what I think:

Azure AI Foundry feels like Microsoft’s quiet revolution. It’s not flashy, but it’s fundamental. If this becomes the new normal for how software gets built, we may look back at 2025 as the year developers stopped writing code and started shaping behavior.

Launch

Google’s NotebookLM just went mobile

NotebookLM, Google’s AI-powered tool for understanding dense information, is now on your phone. The iOS and Android apps are live, and packed with useful features for mobile learners.

Here's everything you need to know: 

• You can now download Audio Overviews for offline listening—perfect for tunnels or low-data zones.

• Multitask easily: Audio plays in the background while you do other things.

• Tap "Join" during a playback to ask questions or redirect the AI hosts.

• Share any article, PDF, or YouTube video directly into NotebookLM from any app.

• Available now on App Store and Play Store (iOS 17+, Android 10+).

• Early testers love how it simplifies dense research across fields.

• Google promises ongoing updates with more input types and refinements to come.

Here’s what I think:

NotebookLM on mobile makes sense. It turns passive moments, commutes, waits, dead zones into moments of understanding. It’s not flashy, but it might quietly become one of the most useful AI tools for everyday life.

Install here for Android and IOS

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