---
title: 'New Google Updates Are Wild'
source: 'https://youtube.com/watch?v=ZqjQuHWEmbY'
video_id: 'ZqjQuHWEmbY'
date: 2026-07-28
duration_sec: 486
---

# New Google Updates Are Wild

> Source: [New Google Updates Are Wild](https://youtube.com/watch?v=ZqjQuHWEmbY)

## Summary

Google has released three new Gemini AI models (3.6 Flash, 3.5 Flashlight, and 3.5 Flash Cyber), along with updates to NotebookLM (Collections), Google Vids (Gemini Omni), and a new AI agent called Gemini Spark. The focus is on efficiency, cost-effectiveness, and task-specific models rather than raw intelligence.

### Key Points

- **Three New Gemini Models** [00:02] — Google released Gemini 3.6 Flash (efficient, everyday use), Gemini 3.5 Flashlight (fastest and cheapest for high-volume tasks), and Gemini 3.5 Flash Cyber (security-focused, not public).
- **Shift from Intelligence to Efficiency** [00:44] — New models prioritize speed and cost over raw intelligence, representing a strategic shift in AI development.
- **Gemini 3.5 Flashlight Use Case** [01:52] — Flashlight is ideal for repetitive, high-volume tasks like processing documents and answering simple queries, described as 'not a surgeon but a water glass handler'.
- **NotebookLM Collections** [03:16] — Collections allow flexible grouping of notebooks, similar to playlists, enabling better organization of research.
- **Google Vids with Gemini Omni** [04:49] — Omni generates video clips from rough sketches, product photos, or logos, making video creation faster.
- **Gemini Spark: Persistent AI Agent** [05:29] — Spark is an agent that continues working after you close your laptop, taking actions autonomously based on your instructions.
- **Takeaway for Business Owners** [06:09] — The key is to use the right tool for each task: fast/cheap for repetitive work, sharper reasoning for complex tasks, and agents for ongoing follow-ups.

### Conclusion

Google's latest releases emphasize efficiency and specialization, with tools like Gemini Spark and Collections enabling automation and better organization. Business owners should pick one update and implement it immediately to stay ahead.

## Transcript

the most literal way possible, because Google didn't just release one thing this week. They released three new AI models, a new way to organize your research, a smarter video tool, and an AI agent that keeps working after you
close your laptop. Let's start with the biggest one. Google just released three new Gemini models in one week. Not one, three. They're called Gemini 3.6 Flash, Gemini 3.5 Flash Light, and Gemini 3.5 Flash Cyber. Here's why that matters,
even if you've never touched an AI model in your life. Google isn't trying to trying to build the AI that gets stuff done the fastest, using the fewest steps, for the lowest cost to run. That's the whole story behind this
release. Let's break down what each one actually does in plain terms. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. While he's helping clients get more leads and customers,
I'm here to help you get the latest AI updates. And Julian Goldie reads every comment, so make sure you comment below. Gemini 3.6 Flash is the new everyday wants everybody to use by default. It's built for coding, for writing, for
images. And the interesting part isn't that it got smarter, it's that it got more efficient. It uses fewer words to get to the same answer. That means faster replies and way less waste. I keep coming back to this idea because
it's the whole shift happening in AI right now. A year ago, every new model release was a brag about raw intelligence. Now, the brag is about how That's a completely different kind of race. Here's a simple way to picture it.
Imagine you ask two people the same question. One gives you a five-minute answer full of details, the other gives you the same answer in 90 seconds, and it's just as good. Gemini 3.6 Flash is built to be that second person. Now,
here's a use case that actually matters. Try this prompt. Write a welcome email for a new AI Profit Boardroom member that explains our weekly coaching calls, daily tutorials, and prompt library in three short lines. That's the kind of
one-line prompt that turns into a finished draft in seconds. The second release, Gemini 3.5 Flashlight, might actually be more important than the first one. This is Google's fastest and cheapest model to run. It's not built to
be the smartest, it's built for the stuff you do a thousand times a day, through documents, answering simple questions, high-volume repetitive work. Think about it like this, you don't need a surgeon to hand you a glass of water.
available all day long. That's Flashlight. Here's a practical one. Set up a flow where every new AI Profit Boardroom sign up triggers a prompt like this. Read this new member's goal, then write a short personal welcome message
for their industry. That's the exact kind of onboarding automation members build inside the community. The third model, Flash Cyber, is different from the other two. This one is built to find and fix security holes in software. It's
not available to the public right now, only trusted partners and government spend much time here because it won't touch your daily life directly, but it tells you something. Google is racing to build specialized AI for serious
problems, not just chatty assistants. Let's pause here for a second because I people who need it most. If you're automate parts of your business the same way we just walked through with Gemini
Collections, this is exactly what we cover inside the AI Profit Boardroom. And it's why so many members are already using these exact tools to grow their own audience and get more customers. We've built a full roadmap for setting
follow-up, member onboarding, and from scratch trying to figure out the setup yourself. There are four live coaching calls every week where you can bring your exact use case and get direct
help daily tutorials that break down new releases like this one the moment they drop, a prompt library built around real workflows like the ones we just covered, running these automations for their own businesses. Links in the comments and
walk-through. Now, let's talk about something Google users have been asking for for a long time, better organization inside Gemini's notebook tool. Google just added something called collections. Before this, if you used notebook a lot,
your research turned into a pile, dozens of notebooks with no real order. Collections fixes that. Picture it like a music playlist. One notebook can live inside more than one collection, no rigid folders, just flexible groups that
make sense to you. Here's a practical way to use it. Build a collection just for AI profit boardroom content ideas. Drop in every testimonial, every case study, and every coaching call recap, then ask Gemini to pull it all into one
clean summary you can turn into next week's post. Next update, Google Vids just got a serious upgrade with something called Gemini Omni. Here's what it does. You drop in a rough sketch, a product photo, or a logo, then
like turn this into a short product video, and Google builds themed video clips for you automatically. Here's how you'd actually use this one. Design a short promo video for the AI profit boardroom that shows real members
getting help on a coaching call, highlights the daily tutorials, and ends with a simple line about the community to save time with AI. Drop in your logo and a few screenshots, and let Omni build the first draft before you touch
actually think is the biggest long-term story out of everything Google shipped this year. It's called Gemini Spark. Spark isn't a chat window, it's an agent that keeps working after you walk away. Sundar Pichai described it as your
personal AI agent, one that takes action on your behalf under your direction. It runs on its own without needing your laptop open. Want you to notice the matters. You don't tell Spark do this one thing, you tell it watch this or
keep checking or turn or handle this every week without me asking again. That's the agentic shift everyone in AI keeps talking about. Let's zoom out for a second because I don't want you to just remember five separate updates. I
all of them. If you're a business owner, here's what actually matters for you. available. You need the right tool for the right job. Fast and cheap for repetitive tasks, sharper reasoning for the complex stuff, an agent running in
forgetting to follow up on. Here's the honest part I want to leave you with. Tools like this move fast and that can feel like a lot. New models, new agents, new features almost every single week. You don't need to master all of it
overnight. You just need one small habit. Pick one update, one tool, one workflow and actually use it this week instead of just watching another video difference between falling behind and staying ahead right now. Not knowing
consistently. this is what we do every single week inside the AI Profit Boardroom and everything we just walked through today, the prompts for onboarding new members,
the notebook collection for content, the promo video idea, the Spark workflow for comments, those are the exact kinds of builds we help you set up step-by-step. We take releases like this one the same day they happen and turn them into real
workflows you can use to bring in more leads, save hours on repetitive tasks and grow your own community or business the way we're growing ours. Four coaching calls a week where you can ask about your exact setup, daily tutorials
the moment new tools like Spark or Flashlight roll out and a full community of people building with these exact tools right now sharing what's actually and description. And if you want the full breakdown from
today plus the notes, the prompts and over a hundred other AI use cases just like this one. Come join the AI Success Lab. It's free. You'll get the full write-up from this video and access to a community of over people who are already
deep into using AI like this every single day. Links are in the comments and description for that one, too. That's everything from Google this week. New models, smarter organization, faster video, and an agent that never really
video, and an agent that never really clocks out. See you in the next one.