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AIVideosGemini 3 Rumors Are CONFIRMED, It's VERY GOOD
AI

Gemini 3 Rumors Are CONFIRMED, It's VERY GOOD

•November 18, 2025
0
Matt Wolfe
Matt Wolfe•Nov 18, 2025

Why It Matters

Gemini 3 establishes Google as the current benchmark leader in large‑language‑model performance and introduces an integrated, multi‑modal agent, raising the bar for AI‑driven productivity and sharpening the rivalry with OpenAI’s offerings.

Summary

The video walks viewers through Google’s freshly announced Gemini 3, the company’s next‑generation flagship large language model, and its accompanying features such as the new Deepthink reasoning mode and an experimental Gemini Agent that can act on emails, calendars, and web content. The presenter, who received early access under a non‑disclosure agreement, explains that Gemini 3 is positioned to sit at the top of Google’s AI stack and directly compete with the best models from rivals.

Google claims substantial gains over its predecessor Gemini 2.5 across four dimensions: multi‑step reasoning, code‑related tasks, multimodal understanding (text, images, charts, video), and long‑context coherence. Benchmark results cited in the video show Gemini 3 Pro achieving 37.5% on the “Humanity’s Last Exam” and 91.9% on the GPQA Diamond test, outpacing OpenAI’s GPT‑5 series. While the presenter cautions that benchmark numbers don’t always translate to everyday usefulness, the data suggest a meaningful leap in the model’s problem‑solving abilities.

The demo segment highlights the model’s practical output. In a scheduling prompt, Gemini 3 generated a detailed 10‑day production calendar that satisfied a complex set of constraints and offered an alternative plan with trade‑offs. It solved a classic Monty‑Hall‑style probability puzzle, clearly laying out the math, and it performed a three‑step workflow on the seminal “Attention Is All You Need” paper: summarizing the research, drafting a YouTube explainer script, and producing a self‑contained HTML/CSS/SVG animation of the attention mechanism. These examples showcase the model’s capacity for chain‑of‑thought reasoning, web‑retrieval, and code generation in a single request.

Availability is immediate for paid Google AI Pro and Ultra subscribers in Search, the Gemini web app, AI Studio, and the command‑line interface, with a free tier in AI Studio for experimentation. Deepthink is initially limited to safety testers and later to Ultra users, while the agent mode is web‑only and flagged as experimental, requiring user supervision. The rollout signals Google’s intent to embed its LLM across consumer and developer experiences, potentially reshaping how enterprises automate knowledge work and intensifying the competitive race with OpenAI and other AI vendors.

Original Description

#GeminiAI #AINews #Google
The new Google Gemini 3 model is finally here...and yes, I got early access! Google said, “Matt, don’t share this with the world yet”… so I waited until the exact moment Gemini 3 went public to drop this deep-dive.
In this video, I break down everything Gemini 3 can actually do, including its new agent mode, speed improvements, reasoning upgrades, and how it stacks up against other models like GPT-5, Claude, and Grok. You’ll see the good, the bad, and the parts Google probably didn’t expect me to show.
I also test Gemini 3 across real workflows, benchmarks, and creative tasks — including Humanity’s Last Exam and GPQA Diamond, so you can see where it shines and where it still struggles.
If you want the honest, unfiltered look at whether Gemini 3 can dethrone ChatGPT… this is it.
Right now, Make is giving my audience one month free of the Pro Plan when you sign up using this link: https://www.make.com/en/register?promo=mattwolfe&utm_source=mattwolfe&utm_medium=influencer&utm_campaign=mattwolfe-integration-nov25
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Time Stamps:
00:00 - Introduction & Early Access
00:19 - What is Gemini 3? Overview & Capabilities
01:05 - What's NEW & Benchmarks
02:53 - Availability & Where to Use Gemini 3
03:51 - Deep Think & Gemini Agent Announcements
04:15 - Agent Mode: Features & Cautions
04:57 - Productivity with AI & Make.com Sponsor
05:20 - Building an Audience Growth Agent
05:55 - Make.com Features & Offer
07:02 - Testing Gemini 3 in Google AI Studio
08:20 - Logic & Probability Puzzle Test
09:32 - Research Paper Summarization & Visualization
10:07 - "Attention is All You Need" Visualization
12:30 - Turning Notes into a YouTube Narrative
13:25 - HTML/CSS Animation Demo
14:10 - Minecraft-like Game Generation
16:11 - Advanced Game Generation (No Constraints)
17:15 - Turn-Based Strategy Game Demo
19:07 - Vampire Survivors Clone & Game Feedback
20:24 - Music Generation: Happy Birthday & Original Song
22:32 - Agent Mode: Research & News Rundown
24:34 - Executive Assistant Demo
26:16- Booking a Restaurant with Agent Mode
28:20 - Final Thoughts & Impressions
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