Brandon Edward Velez

Product Lead @ Google. All views are my own.

[Brandon Edward Velez @bevelez]

👏👏

[NotebookLM @NotebookLM]

Today we’re launching another highly requested feature: Source Attribution! 🥳

No more guessing. Now you can see the exact formula (prompts + sources) used to make each of your artifacts. Want to make an adjustment? Just tap "Iterate" and customize to your heart’s content 💖

[Brandon Edward Velez @bevelez]

Signed up! 🙌🎉 Can't wait to use this app on my android to make apps for my android 🧑‍🔬🧪

[Sam Sheffer @samsheffer]

reminder:

there's an @GoogleAIStudio mobile app in the works and the pre-order pages are live for iOS and Android

go here and choose your OS: https://t.co/jV7UWtGKuZ

[Brandon Edward Velez @bevelez]

I love this!!! 🕵️🧐♟️🎮

[NotebookLM @NotebookLM]

PRO TIP: Gamify your notebooks

Don't just read your notes— investigate them. Our new Sherlock Holmes notebook turns studying into an interactive mystery game. Deduce facts, uncover clues, & prove that even the most complex matters can be elementary.

➡️ https://t.co/Z5gAzflax9

[Brandon Edward Velez @bevelez]

What would it look like if we had no light pollution? Gave the task to Omni Flash via @FlowbyGoogle. ✨🌌

[Omar Sanseviero @osanseviero]

Super excited to introduce Gemma 4 12B! 💎

- Multimodal: audio, image, video, and text input
- Novel architecture: we removed the multimodal encoders for a unified, streamlined arch
- New MacOS desktop app powered by LiteRT
- MTP support

Excited to see what you build with it!

[Sundar Pichai @sundarpichai]

Our new Gemma 4 12B model hits a sweet spot between size + performance: it can run locally on a laptop, while enabling powerful multi-step reasoning and agentic workflows. Can’t wait to see what the community does with this one!

[Josh Woodward @joshwoodward]

✅ Papercut fixed: Thinking Levels are now available on Gemini across Web, iOS, and Android.

[Trond Wuellner @trondw]

Excellent discussion with @stevenbjohnson about using NotebookLM as a second brain:
https://t.co/3axgQW9AY2

[NotebookLM @NotebookLM]

Notice anything different about the NotebookLM mobile app recently? 😉

Well, we’re excited to REPORT that you can now create briefing docs, study guides, and blog posts on-the-go! 📱✨

Are there any other report formats you'd want specifically for mobile? Let us know!

[Google @Google]

Here’s how you can use our notebook in @NotebookLM on web or mobile to catch up on key announcements from #GoogleIO:

👂Listen to an Audio Overview to catch up on our news in less than two minutes

📑 Read through a slide deck to learn more about the biggest launches

🌀 Explore our highlights through an Infographic

📽️ Revisit our biggest announcements in a Video Overview

💬 Ask your own question about a new product or launch

Learn more ↓

https://t.co/WeOlUKaSLU

[Logan Kilpatrick @OfficialLoganK]

My conversation with @JeffDean, @koraykv, @NoamShazeer, and @OriolVinyalsML (the Gemini co-leads) about the current state of Gemini, how we got here, and where we go next : )

[Josh Woodward @joshwoodward]

We’ve heard your feedback about hitting limits too quickly on @GeminiApp. We're rolling out several fixes to make your quota stretch further and feel more predictable… 🧵

[Brandon Edward Velez @bevelez]

🙂‍↕️➕ imo

[Aaron Levie @levie]

Take whatever number of people you thought might be in jobs related to AI deployment in the enterprise and multiply it by 10. Then probably 10 again.

A major topic that keeps coming up in talking to CIOs across enterprises of all sizes and industries is the implementation gap for getting agents to work at scale and organizations on mission critical work.

As the task goes from implementing a chat system that’s basically an LLM plus search, to connecting to real production systems that both can deliver meaningfully better productivity gains but also introduces meaningfully more risk, a whole new set of work has to be done.

You have to ensure the right level of protection of data, updates to access control controls, migration of legacy systems to common modern platforms, create observability across what agents are doing, implement new workflows, figure out the human in the loop moments, drive the change management of the new workflows, and more.

Then, all of a sudden the model capabilities get updated and you have to do a set of the above steps over again. Half of what you’ve done is obsolete, and the other half needs to be upgraded to take advantage of new capabilities. Or, token budgets run hot and you have to peel off some of the workloads to lower cost models that will be more cost effective. But then you have to go through those same steps.

Enterprise are trying to figure out what is the right set of roles to go and implement the systems in their organization to ensure that the workflows are actually being executed properly, ensure it’s not just slop being produced, and to make sure their organization remains safe and secure.

Many companies are starting by repositioning existing IT talent in these functions, but there’s also a growing need for the equivalent of internal FDEs to go take on these tasks in an enterprise. The looks incrementally closer to software engineering than it does traditional IT implementation.

Next, almost all AI vendors (labs and the software players) will have some form of next-gen FDE or Applied AI architecture functions to help support these use-cases. The benefit here will be these companies have an incentive to make their capabilities work well so they can bring best practices from a range of customers they’re seeing and directly from the product innovation.

And finally, we’re seeing the rise of all new AI services firms or major parts of existing services firms move into AI implementation. Companies will often want to bring in ostensibly neutral players that can work across their tech stack but also have seen best practices across their vertical. There are going to be tons of new service providers that get launched to do this, and many will eventually go and disrupt (or get acquired) by the larger player.

Either way, all told, we’re in for years of AI diffusion, and along with it tons of new roles and areas of work to be done to deploy AI at scale.

[Josh Woodward @joshwoodward]

A top feature request is rolling out in @NotebookLM: Google Drive files will now automatically sync! 🔄

We're actively rolling this out, starting with 10% today and ramping up soon.

[Brandon Edward Velez @bevelez]

😮😍🦒🎮

[Google Labs @GoogleLabs]

From playing the games to designing the games in minutes. Just choose your characters, set the scene, and let Project Genie do the rest. The transformation is wild 🦒

See Genie in action at this year's Google I/O sandbox:

[Josh Woodward @joshwoodward]

Introducing Gemini Spark!

Our 24/7 personal AI agent designed to proactively manage tasks and help you navigate your digital life, all under your direction.

Coming to trusted testers this week, and as a Beta for US Google AI Ultra subscribers next week!

[Brandon Edward Velez @bevelez]

👏

[Trond Wuellner @trondw]

NotebookLM is having a profound impact with users generating more than 1.5B notebooks, podcasts, and slide decks! #googleio

[Brandon Edward Velez @bevelez]

@trondw Just got one! Super excited to check it out

[NotebookLM @NotebookLM]

Mind Maps are getting a major glow up 💅

These new features are rolling out today:

🚗Customization: Steer your map with specific user prompts
📂Organization: Rename and Share your maps instantly
🗺️ Navigation: Silky smooth transitions between nodes

Let us know what you think!