Google’s NotebookLM Gets a Major Upgrade: Code Writing, Spreadsheet Building, and Smarter Research

Google has supercharged its AI-powered notebook tool, NotebookLM, with a suite of powerful new capabilities. The most striking addition? NotebookLM now writes code and builds spreadsheets, moving far beyond simple note-taking. This update transforms the platform into a full-fledged research and productivity assistant for complex projects.

According to an official announcement from Google, the upgrade introduces a new reasoning engine, expanded file output options, and a more flexible research workflow. Users can now open a notebook with just a rough idea, and the tool will automatically find relevant sources from the web. This means less time curating materials and more time analyzing them.

NotebookLM Writes Code and Spreadsheets with Gemini 3.5

The core of this transformation is the shift to Gemini 3.5 and Google’s Antigravity coding model. This new engine brings more accurate responses and greater transparency into how the AI reaches its conclusions. Each notebook now runs on a dedicated cloud computer that can write and execute code, backed by over 100 curated software skills.

Google’s internal benchmarks show a 65%-plus win rate over the previous version across five core evaluation categories. Particularly impressive gains appear in large document analysis (69.9%) and web research (78.2%). Consequently, users can expect more reliable outputs when dealing with lengthy reports or complex online data.

Building on this, the tool can now generate a wide range of downloadable files directly from the studio panel. These include PDFs, Word documents, Excel spreadsheets, PowerPoint decks, CSVs, data visualizations, and images. Users can provide detailed formatting instructions before generation and request edits afterward. This makes it easy to turn a research notebook into a polished presentation or a data-heavy spreadsheet.

How the New Research Workflow Simplifies Projects

One of the most practical changes is the lowered barrier to entry. Previously, users needed a fully formed source library to get started. Now, you can open a notebook with a rough idea or question, and NotebookLM will use Google Search to surface relevant sources and help build out the repository.

Importantly, users retain full control over which sources are added. All sources remain clearly attributed throughout the notebook, ensuring transparency and accuracy. This feature is a boon for journalists, students, and researchers who often begin with a vague topic and need to discover credible sources quickly.

For a deeper dive into how AI tools are reshaping productivity, check out our guide on top AI productivity tools for 2026. Additionally, you might find our article on Google Workspace AI features useful for understanding the broader ecosystem.

Availability and Pricing for the NotebookLM Upgrade

The updates are live now for Google AI Ultra subscribers and Workspace business customers on AI Ultra Access and AI Expanded Access plans. Broader availability is planned for later this year. If you’re a power user of Google’s ecosystem, this upgrade is immediately accessible.

However, casual users will need to wait for the public rollout. Google hasn’t specified a date, but the company’s track record suggests a gradual expansion over the coming months. In the meantime, existing NotebookLM features remain available for all users.

To maximize your use of the new features, start by experimenting with the code-writing capability. Ask NotebookLM to generate a Python script for data analysis or an Excel formula for a complex calculation. You can also test the source-finding feature by entering a broad research question and letting the tool build your library.

As AI assistants become more integrated into daily workflows, tools like NotebookLM are setting a new standard. The ability to write code, build spreadsheets, and find sources automatically—all within one notebook—represents a significant leap forward. This is not just an incremental update; it’s a redefinition of what an AI notebook can do.

Apple’s AI Push Exposes a RAM Crisis: Your Devices Are Aging Fast

Apple has long prided itself on delivering software updates that keep older devices feeling fresh. However, the company’s aggressive push into artificial intelligence is rewriting the rules. The Apple AI RAM requirement is now a critical factor, with iOS 27 demanding at least 12GB of RAM for the most powerful on-device AI models. This shift means that even devices built for Apple Intelligence may soon feel outdated.

For years, consumers focused on processor speed and storage. Now, memory is emerging as the silent bottleneck. The iPhone 17 Pro and iPhone Air are set to lead the pack, but older Apple Intelligence-ready hardware with 8GB of RAM could struggle to keep up. This article explores why RAM is suddenly the dividing line and what it means for your next upgrade.

Why RAM Is Suddenly the Dividing Line for Apple AI

The key detail is memory. Apple’s strongest on-device AI model for iOS 27 requires at least 12GB of RAM on supported iPads and Macs. The iPhone 17 Pro and iPhone Air are specifically named for iPhone support, leaving many current devices in an awkward middle ground. An 8GB device may still receive plenty of AI features, but the heaviest local model could sit outside its reach.

As a result, the upgrade math changes fast. Processor speed still counts, but RAM is becoming the quieter spec that helps decide whether a device feels ready for Apple’s next AI wave. This means that if you recently bought an iPhone 16 with 8GB of RAM, you might miss out on the most advanced on-device capabilities.

What Happens When AI Moves Local

A device can support Apple Intelligence and still miss the best on-device model. That gap shapes the experience, since local processing is tied to the speed, privacy, and hardware-first feel Apple has emphasized around AI. Apple‘s Private Cloud Compute gives the company a way to support more devices without putting every task on the device itself.

However, this creates a practical split between what runs on your gadget and what needs help from Apple’s servers. That’s where 8GB devices start to feel older than their age. They won’t suddenly become useless, but they may stop feeling like the safest bet for whatever Apple adds next. Learn more about device compatibility.

Why Your Next Upgrade Should Depend on Memory

The practical takeaway is straightforward. If Apple’s AI roadmap matters to you, RAM deserves more attention than it used to. You’ll want to treat memory as a long-term AI spec, not just a multitasking spec. That means checking RAM alongside chip generation, especially on iPad and Mac, and watching whether more iPhones move beyond 8GB by default.

Building on this, the next devices Apple ships with more memory will say a lot about where iPhone, iPad, and Mac AI is headed. For now, Apple Intelligence support alone doesn’t tell you the whole story. Explore future AI upgrades to stay ahead.

What Does 12GB RAM Mean for Your Current Device?

If you own an iPhone 15 Pro with 8GB of RAM, you might still enjoy many AI features, but the most demanding models will be off-limits. This is a significant shift from the era when Apple devices felt future-proof for five years or more. Now, the Apple AI RAM requirement is forcing users to reconsider upgrade cycles.

For example, the iPad Pro with M4 chip and 8GB RAM will support Apple Intelligence but not the top-tier iOS 27 AI model. Similarly, MacBook Air users with 8GB may need to upgrade sooner than expected. Check our RAM upgrade guide for personalized advice.

The Bottom Line: RAM Is the New Spec to Watch

In conclusion, Apple’s AI features are no longer just a software story. The Apple AI RAM requirement is reshaping device lifespans and upgrade priorities. Whether you’re eyeing the iPhone 17 Pro or sticking with an older model, memory now plays a starring role. Stay informed, and don’t let your gadgets feel old before their time.

Safari Finally Fixes Its Extensions Problem: Apple Lets You Build Custom AI-Powered Add-Ons

For years, Safari AI extensions have been an afterthought in the browser world. While Chrome boasted a massive library of add-ons, Apple’s browser focused on speed, privacy, and seamless device integration. Now, Apple is rewriting that narrative with a bold new approach: letting users create their own extensions using artificial intelligence.

Announced at Apple WWDC, Safari will soon allow users to describe the extension they need in plain language. Apple Intelligence will then generate the custom add-on, turning the browser into a personal toolkit. This move directly challenges Chrome’s dominance in the extension space, offering a more intuitive and secure alternative.

How Safari AI Extensions Work: Describe and Build

The core of this innovation is a feature called “Describe an Extension.” Instead of hunting through a store for a specific tool, users can simply type or speak what they want. For example, you could say, “Create a button that highlights all prices on a shopping page and shows the total,” and Safari will build it.

This approach solves a common frustration: finding a niche extension that someone else maintains. With Safari AI extensions, you are no longer dependent on third-party developers for small, personalized tweaks. A recipe shortcut, a cleaner reading layout, or a quick rating button can now exist as a private browser fix.

What Makes This Different from Chrome

Chrome’s extension ecosystem is vast but often overwhelming. Users must search, compare, install, and trust each add-on. Moreover, many extensions request broad permissions, raising privacy concerns. In contrast, Apple’s method keeps everything within its walled garden, with AI-generated code that is inherently more transparent.

Apple emphasizes that the AI processes your request on-device, meaning sensitive browsing data never leaves your machine. This is a significant advantage over Chrome, where extensions can potentially access all your web activity. For users who prioritize privacy, this feature could be a major draw.

Beyond Extensions: Smarter Tab Management and Notifications

The custom extension builder is just one part of Safari’s broader AI overhaul. Two other features aim to reduce browser clutter: Intelligent Tab Management and Notify Me.

Intelligent Tab Management

This feature automatically analyzes your open tabs, identifying related pages and grouping them into topics. For instance, if you have multiple tabs open for a research project or shopping spree, Safari will cluster them together. You can then close the group or save it as a Tab Group for later. It is a practical way to tame the chaos of dozens of open tabs.

Notify Me: Stop Babysitting Pages

How often do you keep a tab open just to check for a price drop, a restock, or a form opening? Notify Me eliminates this habit. You tell Safari what to watch for on a specific page, close the tab, and receive a notification when the change occurs. It is a simple but powerful time-saver.

Privacy and Security: What Safari Needs to Prove

While the promise of Safari AI extensions is exciting, questions remain about control and transparency. Apple claims the generated extensions are designed to be secure, but users need clear visibility into what each add-on can access.

Apple states that the AI avoids sharing sensitive browsing data with anyone, including Apple itself. However, this claim must translate into a user-friendly interface where you can see permissions, monitor activity, and instantly disable any extension that behaves unexpectedly. For the feature to succeed, trust must be built through clear, on-device management tools.

For anyone who has ever searched for a browser extension and immediately regretted the internet, this could be the more interesting fix. Safari does not need a mountain of add-ons if the small ones feel safe enough to create. With this AI-powered approach, Apple is betting that personal, private, and easy-to-build tools will win over a bloated extension store.

Looking for more ways to optimize your browsing? Check out our guide on how to manage browser extensions for better performance and top privacy tools for 2025.