I Tested Gemini 3 and It's INSANE...
•November 22, 2025
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Why It Matters
Gemini 3’s multimodal, code‑first capabilities let businesses build sophisticated visual and analytical tools with far less engineering effort, shortening time‑to‑market and opening AI‑driven innovation to non‑technical teams.
Summary
Gemini 3, Google’s latest multimodal AI model, is showcased in a rapid‑fire demo that highlights its ability to generate complex, interactive applications with minimal prompting. The presenter walks through a series of prototypes—including a voxel‑art robot generator, a real‑time ray‑tracing walkthrough, an AI‑driven macro‑economic bubble simulator, and a golf‑swing analyzer—each built by feeding Gemini 3 natural‑language instructions and receiving fully functional code, 3D assets, or analytical reports in seconds. The breadth of the demos underscores the model’s expanded context window, multimodal input handling (including video frames), and improved code‑generation fidelity, allowing developers to prototype sophisticated visualizations and simulations without deep engineering effort.
Key data points emerge from the demos: the voxel‑art tool can export JSON blueprints for instant reassembly; the ray‑tracing scene runs smoothly in a browser, reflecting accurate light bounces; the bubble‑simulator visualizes capital‑expenditure versus revenue dynamics with interactive sliders; and the golf‑swing analyzer parses video frame‑by‑frame to deliver a 78/100 score with biomechanical recommendations. The presenter also highlights ancillary resources—a free Prompt Engineering Guide for Gemini 3 and Zapier’s new Unified Copilot—that further lower the barrier to integrating the model into business workflows.
Notable moments include the AI‑generated macro‑economic storyboard that maps historic AI bubbles (NVIDIA 2025, Cisco 2000) and the “AI bubble simulator” game that lets users experiment with funding rounds, acquisitions, and market hype to see when a bubble bursts. The gravity‑simulator demo demonstrates Newtonian physics calculations in real time, while the Earth‑simulator lets users manipulate atmospheric CO₂, temperature, and satellite paths via sliders, illustrating how Gemini 3 can power climate‑modeling interfaces. Throughout, the presenter emphasizes the model’s ability to ingest video, images, and JSON, converting them into 3D assets such as voxelized versions of Muhammad Ali or custom Monopoly boards.
The implications are clear: Gemini 3 blurs the line between AI research and production‑ready tooling, enabling rapid prototyping of visual, analytical, and interactive products across sectors—from gaming and entertainment to finance and sports analytics. By democratizing access to high‑fidelity simulations and code generation, the model could accelerate digital product cycles, reduce development costs, and spur a new wave of AI‑augmented creativity in enterprise environments.
Original Description
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0:00 Intro
0:16 Voxel Robot Generator
2:12 Raytracing
3:30 Bubble Sim
5:54 Sponsor
7:09 Voxel From Images
8:39 Particle Collider
9:35 Power of 10 Animation
10:56 Solar System
12:45 Golf Swing Analyzer
14:25 Hand Tracking Fluid Dynamic Sim
14:50 Globe Sim
15:41 Dot Image Matrix Converter
16:43 Monopoly Generator
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