5/ Gemini 3.5 Flash is the core model. The other three sit on top of it.
Omni Flash handles video. Spark runs your tasks in the background. Antigravity is the environment developers use to build with it. One model, three different surfaces.
@aihighlight
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Breakdown of Gemini 3.5 Flash architecture and its operational layers
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Google’s Antigravity platform uses AI agents to automate software development
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4/ Antigravity 2.0.
— AI Highlight (@AIHighlight) 20 mai 2026
Google's coding platform. Like Cursor or Claude Code, but built around running many AI agents at once.
In the I/O demo, 93 subagents built a working OS in 12 hours for under $1,000.
Use for: building software. pic.twitter.com/fwGJi9mhpP4/ Antigravity 2.0. Google's coding platform. Like Cursor or Claude Code, but built around running many AI agents at once. In the I/O demo, 93 subagents built a working OS in 12 hours for under $1,000. Use for: building software.
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Spark: A Server-Side Autonomous AI Agent for Task Automation
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3/ Spark.
— AI Highlight (@AIHighlight) 20 mai 2026
A personal AI agent that runs on Google's servers, not your phone.
It keeps working when your phone is locked or your laptop is closed. Plans trips. Manages email. Updates docs while you are away.
Use for: tasks that take hours. pic.twitter.com/Y0Q4gPRPGr3/ Spark. A personal AI agent that runs on Google's servers, not your phone. It keeps working when your phone is locked or your laptop is closed. Plans trips. Manages email. Updates docs while you are away. Use for: tasks that take hours.
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Gemini Omni Model Released for Multimodal Video Creation and Editing
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2/ Gemini Omni.
— AI Highlight (@AIHighlight) 20 mai 2026
A new model that creates and edits video from any input. Text, audio, image, or another video.
Live in the Gemini app, Flow, and YouTube Shorts.
Use for: video creation and editing. pic.twitter.com/AO0mldizDr2/ Gemini Omni. A new model that creates and edits video from any input. Text, audio, image, or another video. Live in the Gemini app, Flow, and YouTube Shorts. Use for: video creation and editing.
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Google Releases Gemini 3.5 Flash with Performance Improvements
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1/ Gemini 3.5 Flash.
— AI Highlight (@AIHighlight) 20 mai 2026
The new default model in the Gemini app.
Built for speed. Google says 4x faster than other frontier models. Stronger at coding and long tasks than the previous Pro.
Use for: everyday chat, coding, fast work. pic.twitter.com/IIJPtKe7Sk1/ Gemini 3.5 Flash. The new default model in the Gemini app. Built for speed. Google says 4x faster than other frontier models. Stronger at coding and long tasks than the previous Pro. Use for: everyday chat, coding, fast work.
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Google Launches Gemini 3.5 Flash and New AI Products
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🚨Breaking: Google just launched 4 new Gemini products at I/O 2026 yesterday.
— AI Highlight (@AIHighlight) 20 mai 2026
Gemini 3.5 Flash. Gemini Omni. Gemini Spark. Antigravity 2.0.
Here is what each one is, what it does, and when to use it: pic.twitter.com/xjV2ya1BvVBreaking: Google just launched 4 new Gemini products at I/O 2026 yesterday. Gemini 3.5 Flash. Gemini Omni. Gemini Spark. Antigravity 2.0. Here is what each one is, what it does, and when to use it:
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The Role of Spatial Mapping in AI Automation
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This is why Radar just hit a $1B valuation. The industry is realizing the AI ‘brain’ is only as good as its eyes. To scale, automation needs a map that matches reality, not a best guess.
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AI-driven perception enables precise robotic navigation
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With 99% accuracy and 400x precision, they can see through boxes and pallets. It’s the difference between a robot that wanders and one that knows where to go.
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Radar builds AI-powered infrastructure for robotic inventory tracking
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Radar is building the infrastructure layer for physical AI by fusing RFID and computer vision to give robots and automation systems a real-time map of physical inventory
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Addressing trust issues in Large Language Models
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This would solve 80% of trust issues with LLMs and somehow no lab has prioritized it.