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- Ep 656: Inside Gemini 3: What’s new and what it unlocks for your business
Ep 656: Inside Gemini 3: What’s new and what it unlocks for your business
Gemini 3 drops, Microsoft and NVIDIA bet big on Anthropic and xAI releases Grok 4.1
Everyday AI
November 18, 2025
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Sup y’all 👋
HUGE drop from Google today with Gemini 3.
We talked with Logan Kilpatrick from Google moments after it was released.
More soon!
✌️
Jordan
Outsmart The Future
Today in Everyday AI
8 minute read
🎙 Daily Podcast Episode: Gemini 3 is out. How might this change what your company is capable of? Find out more in today’s show and give it a watch/listen.
🕵️♂️ Fresh Finds: AI cutting entry level jobs, Google’s new multi-agent IDE, AI’s role in Dr. burnout and more. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: Gemini 3 drops, Microsoft and NVIDIA bet big on Anthropic and xAI releases Grok 4.1. Read on for Byte Sized News.
🧠 Learn & Leveraging AI: There’s a TON new in Gemini 3. We break down what you need to know. Keep reading for that!
↩️ Don’t miss out: Missed yesterday’s newsletter? We covered: The week's AI news that matters, Anthropic CEO warns of AI job loss, Bezos takes on new CEO role, NVIDIA’s big AI partnership and more. Check it here!
Ep 654: Using AI to turn Conversations into Revenue: A leader’s guide
Gemini 3 is officially here. ✨ ✨ ✨
For about 8 months, Gemini 2.5 Pro has mostly maintained its standing as the top LLM in the world yet Google just unleashed its successor in Gemini 3.0.
So, what's new in Gemini 3?
And whether you're a developer or casual user, what does Google's new model unlock?
Join us as we chat with Google's Logan Kilpatrick's for all the answers.
Also on the pod today:
• Vibe Coding magic in action ✨
• AI Studio for non-devs 🤖
• Antigravity for developers 🛠️
It’ll be worth your 18 minutes:
Listen on our site:
Click to listen
Subscribe and listen on your favorite podcast platform
Listen on:
Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – Markopolo Helps you Reach 30–40% more customers with personal outreach at scale, Typeless will turn your words into polished messages, emails, and documents that read like you carefully typed them - in real time, InsForge will add Authentication, Database, Storage, Functions, and AI integrations to your app in seconds.
AI and Dr. Burnout — Yale-led research found ambient AI scribes cut clinician burnout fast, from about 52% to 39% in 30 days, and boosted undivided patient attention. Curious how note-taking bots free up an hour a day?
AI Trustworthiness — Sundar Pichai says AI is helpful but still error-prone, so don’t trust it blindly. He hints even Google wouldn’t be safe if an AI bubble pops.
AI Learning — Free Google Cloud course to turn AI prototypes into secure, scalable production systems. New modules drop weekly through mid-December.
AI Jobs — AI cuts entry‑level jobs — firms scramble to retrain and pay up for talent.
Google Antigravity — Turn your IDE into an agent-powered workflow. Try the Mac app to see agents speed up coding and verify results.
AI Youtube Toxicity — AI study shows YouTube titles go toxic while the videos are more balanced. See how Agarwal’s award-winning method proves it.
AI Startup Funding — Lambda just scored $1.5B+ to snap up Nvidia GPUs and power more AI cloud.
1. Google Unveils Gemini 3 Pro, Its Boldest AI Yet ✨
Today, Google launched Gemini 3 Pro, a cutting-edge AI model now available to everyone inside its Gemini app, signaling a major push to outpace OpenAI in the race for smarter, more reliable consumer AI.
Natively multimodal and equipped with advanced reasoning, Gemini 3 Pro can handle text, images, and audio simultaneously, powering new features across Google’s ecosystem and promising richer, more visual search experiences. The company touts its latest model as both more insightful and less prone to flattery than its rivals, aiming to deliver direct answers rather than empty praise.
2. AI Prevention Programs Gain Ground 🧑⚕️
A new study from Johns Hopkins Medicine finds AI-powered diabetes-prevention programs can match coach-led outcomes while significantly boosting engagement, signaling momentum for scalable, tech-enabled population health. Hospitals like Cleveland Clinic and Cedars-Sinai are showing how integrated AI, clinician oversight and virtual care can personalize feedback, manage risk remotely and reduce low-acuity visits.
The big takeaway is that AI is shifting from pilots to everyday infrastructure, improving access and adherence without replacing human clinicians.
3. Grok 4.1 Launches, Cranking Up Empathy but Also Sycophancy 💪
xAI’s Grok 4.1 just hit the scene, promising smarter, more emotionally tuned conversations across grok.com, X, and mobile apps. Users now choose between a rapid “Non-Thinking” mode and a deeper “Thinking” model, both topping recent benchmarks for emotional intelligence and creativity, though still trailing OpenAI’s latest.
However, a companion safety report reveals a catch: as Grok grows more empathetic, it’s also getting more agreeable—even when users are wrong—raising concerns about honesty and sycophancy. In short, xAI’s push for friendlier AI brings sharper conversations but a new balancing act over truthfulness.
4. Google adds AI-powered travel planning, booking and deal-finding to Search and Canvas ✈️
Google this week expanded AI features in Search and Canvas, rolling out Flight Deals globally and wider agentic booking tools that turn plans into real-time reservations.
The update makes Canvas in AI Mode a dedicated space to build and refine itineraries using live flight, hotel and Maps data, while Flight Deals uses AI to surface flexible, low-cost destinations across 200+ countries. Agentic booking now handles restaurant reservations and other local appointments in the U.S., and Google says it will add direct flight and hotel checkouts later through industry partnerships.
5. Microsoft and Nvidia Make Billion Dollar Bets on Anthropic 🤑
In a major shakeup this week, Microsoft and Nvidia announced up to $15 billion in combined investments into Anthropic, rapidly boosting the AI startup’s valuation to around $350 billion.
The two tech giants are doubling down on AI, with Anthropic committing to buy massive cloud and compute capacity from both companies, signaling a shift as Microsoft seeks to reduce its reliance on OpenAI. Nvidia and Anthropic will work closely to optimize AI models and hardware, while Amazon retains its role as Anthropic’s primary cloud partner.
🦾How You Can Leverage:
Even after 8+ months of being on the shelf, Gemini 2.5 Pro was still (by many benchmarks) the best AI model in the world.
Yet, Google shipped a bigger/better/badder one.
(And sheeeeesh it’s impressive. It wipes the competitors on almost every single known benchmark.)
It was so good, we had to bump our normal 7:30 AM livestream back a few hours so we could chat with Logan Kilpatrick, Product Lead at Google DeepMind.
Logan not only spilled some exclusives on Gemini 3, but he also gave our audience a practical walkthrough on what the new capabilities mean for your company.
Make sure you check out today’s SUPER short episode, then let’s dive in for the 1-2-3 of how your company can squeeze more value out of Gemini TODAY.
1. Nontechnical Leaders Can Build Production Tools 🔥
Logan screenshot boring benchmark tables and asked Gemini 3 to build an interactive experience in AI Studio.
Ninety seconds later, he had sortable comparisons with category filters and visual representations.
Your nontechnical executives can now turn ideas into functional tools by describing what they want. The barrier between concept and working prototype just collapsed for anyone who can type sentences.
Google invested weeks of infrastructure work making Gemini 3 available everywhere on day one because accessibility is the actual competitive moat. Not who has the smartest model, but who gives the most people access to capability fastest.
Your team builds Monday morning while competitors schedule developer sprints for next quarter.
That velocity gap compounds weekly.
Try This
Screenshot the data table that wastes the most time in your weekly meetings—sales reports, analytics exports, budget tracking spreadsheets.
Upload it to ai.studio/build and type: "Build me an interactive experience with sortable categories and visual comparisons that brings this data to life."
You'll have a shareable dashboard in under two minutes that previously required developer time and IT approvals. Start using it in Monday standup while everyone else manually updates static PowerPoints.
This is immediate analysis instead of waiting for someone technical to be available next sprint.
2. Four Words Generate Product Roadmaps ⚡
After building anything in AI Studio, Logan types: "add five new features."
The model generates five suggestions instantly.
One in five might be genuinely valuable, he said, and Google's product team implements them. That's a 20% success rate for generating roadmap ideas that costs nothing except typing a prompt.
(Our favorite 5-word iteration is ‘please make this more _____’)
Previously, this required scheduling ideation sessions, gathering stakeholder input, running customer interviews, and hoping someone thinks of something good during sprint planning.
Gemini 3's improved tool calling capabilities mean the model actually understands your project context and suggests features that make strategic sense instead of generic additions. Three builds with this prompt generate three genuinely useful capabilities you wouldn't have brainstormed alone.
That's innovation speed that compounds weekly while competitors meet monthly to discuss potential features.
Try This:
Take your current project and build a basic version in AI Studio, then immediately type "add five new features."
Don't overthink the suggestions. Scan all five, pick the one that makes you pause, and ask the model to implement it right away.
The 1 in 5 hit rate means you'll get three valuable features across three projects this week. You're shipping while competitors schedule discovery phases and feasibility studies for what to maybe build next quarter if resources allow.
That's the gap opening up between companies right now.
3. Even Google's Team Underestimates Capability 🚀
Logan leads product for Google AI Studio and is one of the most well-known devs in the world.
He's a trained engineer who builds AI products professionally.
Yet, he admitted to us he constantly needs to remind himself to push models harder because he dramatically underestimates what they can handle.
If someone at his level struggles with this mental reset, your entire organization is probably operating at 10% of possible capability.
This ain't a technical skills gap. Nope.
It's an ambition gap.
Gemini 3 can handle complexity your team assumes requires human decision-making, but only if you actually ask for it. The model won't proactively tell you to request bigger outputs. Most organizations are bottlenecked by assumptions about AI limitations that stopped being true months ago.
The companies pulling ahead right now aren't using different tools. They're using the same models but asking for 10x more ambitious outputs while competitors use AI for email summaries and basic drafts.
That's the competitive moat being built while everyone else debates which model topped which benchmark.
Try This
Audit everything you asked AI to do this week and write down your three most complex requests.
Now rewrite those exact prompts asking for 10x more. If you asked for summaries, ask for complete strategic analysis with implementation recommendations and timeline breakdowns instead.
Send those rewritten prompts today and watch what happens. Most executives find models handle way more complexity than they assumed, which means capabilities have been sitting on the table for months.
Set a Monday calendar reminder to do this audit weekly until pushing AI harder becomes your team's default instead of something you consciously remember after reading newsletters.
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