Episode Details

You’ll need a map, compass and legend to understand all the new AI Google announced at its I/O conference last week. 

(They literally wrote a blog post called, "100 things we announced at I/O 2026” and most of them were AI based.) 

Luckily for you, we spend hours each day going through the latest in AI to cut the fluff from the real. So on today’s ‘AI Working Wednesdays’ series, we break down 3 of Google’s biggest AI updates you can use today: Google Omni, Gemini 3.5 Flash and Antigravity 2.0. 

What’s new and how do they work? We’ll show you the ins and outs live. 

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Topics Covered in This Episode:

1. Gemini 3.5 Flash Model Hands-On Demo
2. Gemini 3.5 Flash Pricing and Token Usage
3. Benchmarks: Gemini 3.5 Flash vs. 3.1 Pro
4. Intelligence vs. Cost in Gemini 3.5 Flash
5. Gemini 3.5 Flash for API and Developers
6. Google Gemini Omni Flash Video Model Review
7. Omni Anything-to-Anything Multimodal Features
8. Google Omni vs. Video Model Competitors
9. Anti Gravity 2.0 Agent Desktop App Overview
10. Anti Gravity 2.0 Pros, Cons, and Use Cases
11. Usage Limits in Google Gemini and Anti Gravity
12. Chain of Thought Transparency in Gemini Models
13. Canvas Mode Interactive Web App Demonstrations

Timestamps:

00:00 Key AI updates from Google IO

04:58 New Google AI updates discussed

08:57 Google's anti gravity desktop use

10:01 Touring Google's Anti Gravity App

14:40 Testing a new AI prompt

18:06 Critiquing vibe coding aesthetics

21:28 Discussing Google's Gemini 3.1 Pro Model

24:40 Comparing AI model performances and costs

29:13 Google's advancements in video AI

30:13 Future of Google's AI Technology

33:58 Exploring Google Gemini features

36:51 Google Gemini chain of thought feature

42:02 Google Gemini's new model features

44:23 River crossing puzzle gameplay

48:25 Discussing Google Gemini 3.5 flash drawbacks

51:10 Feedback on an AI release

Keywords: 

Gemini 3.5 Flash, Google Gemini, AI updates, Google I/O 2026, Gemini Omni, Gemini Omni Flash, anti gravity 2.0, AI video model, hands-on AI demo, agentic coding, desktop AI app, benchmarking, AI model comparison, Gemini Spark, Gemini Pro 3.5, Gemini 3.1 Pro, token usage, API users, Google Workspace, always-on agent, AI cost efficiency, intelligent agents, world model, multimodal AI, generative video creation, video editing, scheduled tasks, Google Daily Brief, model usage limits, thinking steps, chain of thought, artificial analysis intelligence index, token inefficiency, cost to run AI, OpenAI GPT-5.5, Claude Sonnet