Everyday AI
Ep 785: What’s New in Gemini 3.5 Flash, Google Omni and Antigravity 2.0: Hands On With the Latest From Google I/O
Why It Matters
Understanding the real strengths and limitations of Google’s latest AI tools helps business leaders decide where to invest time and budget, especially as AI adoption accelerates across industries. This episode is timely because many companies are evaluating Gemini‑based solutions for productivity gains, and Wilson’s hands‑on review clarifies which offerings are ready for enterprise use and which are still experimental.
Key Takeaways
- •Gemini 3.5 Flash fastest, but cost higher than before.
- •Omni model handles any modality, video not its only strength.
- •Anti‑Gravity 2.0 desktop app lacks integrations, feels beta.
- •Google I/O updates roll out unevenly across pricing tiers.
- •Gemini Spark agent remains limited to enterprise customers.
Pulse Analysis
Google unveiled Gemini 3.5 Flash at I/O 2026 as its most capable AI model to date. The new version delivers near‑instant response times and higher quality generation across text and code, positioning it as a direct competitor to OpenAI’s latest releases. However, the “Flash” label no longer guarantees low cost; token pricing has risen, making the model expensive for high‑volume applications. For enterprises that need top‑tier performance, the trade‑off may be worthwhile, but developers must budget carefully to avoid unexpected spend.
Gemini Omni expands the Gemini family into a true multimodal world model. While marketing emphasizes its video generation, the engine can seamlessly process text, images, audio, and structured data, enabling “anything‑to‑anything” workflows. This flexibility opens doors for cross‑media content creation, rapid prototyping, and data‑driven insights without switching providers. Early tests show the model’s visual output rivals specialized video tools, yet its broader modality support is the real differentiator for businesses seeking a single AI backbone.
Anti‑Gravity 2.0 is Google’s first desktop‑focused agentic coding platform, promising parallel agents, folder read‑write access, and scheduled tasks. In practice the interface mirrors existing tools like Codex, and critical integrations—Google Drive, Calendar, and Gmail—are missing, limiting real‑world productivity. The beta‑ish experience also suffers from usage caps that can halt longer runs. Until Google tightens the feature set and clarifies pricing, teams may be better served by mature alternatives such as Claude Code or Cursor for day‑to‑day development.
Episode Description
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:
Gemini 3.5 Flash Model Hands-On Demo
Gemini 3.5 Flash Pricing and Token Usage
Benchmarks: Gemini 3.5 Flash vs. 3.1 Pro
Intelligence vs. Cost in Gemini 3.5 Flash
Gemini 3.5 Flash for API and Developers
Google Gemini Omni Flash Video Model Review
Omni Anything-to-Anything Multimodal Features
Google Omni vs. Video Model Competitors
Anti Gravity 2.0 Agent Desktop App Overview
Anti Gravity 2.0 Pros, Cons, and Use Cases
Usage Limits in Google Gemini and Anti Gravity
Chain of Thought Transparency in Gemini Models
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, Claude Opus, open source AI models, AI-powered creativity, robotics, embodied AI, front-end AI tools, Canvas mode, conversational editing, interactive website builder, AI-powered app creation.
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Start Here ▶️
Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com
Also, here's a link to the entire series on a Spotify playlist.
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