9 demos of Gemini Omni and Gemini 3.5 in action

2026-05-29 · Source: The Keyword · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Software Development & Engineering · Depth: Fundamental Awareness, long

Summary

Google announced Gemini Omni and Gemini 3.5 Flash at Google I/O 2026, showcasing their capabilities through nine demonstrations. Gemini Omni is a new multimodal model that generates and edits high-quality videos from various inputs, including images, audio, video, and text, allowing conversational modifications that maintain scene consistency and physics. Gemini 3.5 Flash, part of a new model family, combines frontier intelligence with action, excelling in agentic workflows and coding tasks. It powers large-scale asset organization via Antigravity, generates interactive web UIs in AI Studio, and enhances Search with information agents and custom generative UIs. Additionally, Gemini Spark, a personal AI agent running on Gemini 3.5, integrates with Workspace tools for 24/7 digital assistance. Both models are rolling out to various Google AI subscribers, developers, and enterprise customers, with some features available free or in specific apps like YouTube Shorts and Search.

Key takeaway

For AI Product Managers evaluating new generative AI capabilities, Gemini Omni offers advanced conversational video editing, enabling rapid content creation and iteration. You should explore its multimodal input features for novel creative applications. For AI Engineers building intelligent agents, Gemini 3.5 Flash provides frontier performance for complex, long-horizon tasks, making it ideal for automating multi-step workflows and generating dynamic UIs. Consider integrating it via Antigravity or the Gemini API for scalable agent deployments.

Key insights

Gemini Omni and 3.5 Flash advance multimodal AI, enabling conversational video editing and intelligent agentic workflows.

Principles

• Multimodal input enables diverse creative outputs.
• Agentic AI excels at complex, multi-step tasks.

In practice

• Edit videos using natural language prompts.
• Automate asset organization with agentic models.

Topics

• Gemini Omni
• Gemini 3.5 Flash
• Multimodal Generative AI
• AI Agents
• Conversational Video Editing
• Dynamic UI Generation

Best for: Machine Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Engineer, AI Product Manager, General Interest

Related on AIssential

• Google I/O 2026: Gemini 3.5 Flash, Omni, and Google’s Agent Stack — Google's strategy shifts from chatbots to agentic execution and multimodal world models, prioritizing speed and integration.
• Introducing Gemini Omni — Gemini Omni Flash enables multimodal video creation and conversational editing, grounded in real-world knowledge and physics.
• Gemini 3.5 Flash might be fast enough for gen AI to make sense — Gemini 3.5 Flash demonstrates that high intelligence and efficiency can enable scalable agentic AI.
• What launched at Google I/O 2026 (30-minute day 1 recap) — Google's I/O 2026 emphasizes agentic AI across coding, creative, and design tools, powered by faster, multimodal Gemini 3.5 models.
• Generative AI News Rundown - A Deep Dive Into ChatGPT-4o, Gemini Upgrades and Intrigue & More - Voicebot Podcast Ep 381 — Multimodal AI models are rapidly advancing, integrating voice, vision, and reasoning for more natural and agentic user experiences.
• Gemini Omni, Gemini 3.2 Flash, a 12M Context Window Model, Claude Replaces Analysts, & More! AI NEWS — Next-generation AI models are scaling context windows, enhancing speed, and automating specialized workflows.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by The Keyword.