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👾Watch a multi-agent system built with Gemini 3.6 Flash iterate on playable game design in real time. It uses Gemini 3.5 Flash-Lite to design, construct, and verify puzzle challenges based on live player actions balancing speed and reasoning in a fast-paced environment.

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Google AI Developers

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29,278 görüntüleme • 7 gün önce •via X (Twitter)

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introducing Gemini 3.6 Flash: our latest model that balances speed with intelligence to deliver strong performance in agentic and multimodal tasks built directly on developer and customer feedback from 3.5 Flash available now in AI Studio and the Gemini API
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introducing Gemini 3.6 Flash: our latest model that balances speed with intelligence to deliver strong performance in agentic and multimodal tasks built directly on developer and customer feedback from 3.5 Flash available now in AI Studio and the Gemini API

Google AI Studio

130,023 görüntüleme • 11 gün önce

Built in Antigravity 2.0 and executing through the Antigravity SDK, the agent builds a full-stack collaborative Markdown editor with real-time multi agent state syncing and live previewing fast on 3.6 Flash. ⚡
0:44

Built in Antigravity 2.0 and executing through the Antigravity SDK, the agent builds a full-stack collaborative Markdown editor with real-time multi agent state syncing and live previewing fast on 3.6 Flash. ⚡

Google Antigravity

77,821 görüntüleme • 5 gün önce

Gemini 3.5 flash + Gemini managed agents api just audited a real megatron-lm ci failure inside Eigent. root cause in minutes! watch the handoff: coordinator agent plans the audit, developer agent loads the ml-failure-audit skill and gathers the evidence, then gemini agent steps in as a remote sub-agent for the heavy reasoning. gemini managed agents api and gemini 3.5 flash now live on our open-source cowork Eigent! Google AI Developers Google AI Studio
1:30

Gemini 3.5 flash + Gemini managed agents api just audited a real megatron-lm ci failure inside Eigent. root cause in minutes! watch the handoff: coordinator agent plans the audit, developer agent loads the ml-failure-audit skill and gathers the evidence, then gemini agent steps in as a remote sub-agent for the heavy reasoning. gemini managed agents api and gemini 3.5 flash now live on our open-source cowork Eigent! Google AI Developers Google AI Studio

Eigent AI

16,335 görüntüleme • 2 ay önce

In this head-to-head, Gemini 3.6 Flash and 3.5 Flash demonstrate automated code modernization in Antigravity. Watch 3.6 Flash rebuild legacy software faster, with improved latency and output.👇
0:42

In this head-to-head, Gemini 3.6 Flash and 3.5 Flash demonstrate automated code modernization in Antigravity. Watch 3.6 Flash rebuild legacy software faster, with improved latency and output.👇

Google Antigravity

80,421 görüntüleme • 10 gün önce

Gemini 3.5 Flash-Lite is our fast, cost-effective model for scaling repetitive use cases like sorting tickets and extracting data. Watch how it performs against 3.5 Flash on a series of high volume tasks ↓
0:54

Gemini 3.5 Flash-Lite is our fast, cost-effective model for scaling repetitive use cases like sorting tickets and extracting data. Watch how it performs against 3.5 Flash on a series of high volume tasks ↓

Google DeepMind

71,030 görüntüleme • 10 gün önce

We’re launching the first in a series of Embodied Reasoning offerings: Perceptron Egocentric. It achieves SOTA over the best robotic annotation pipelines built on Gemini 3.5 Flash and Gemini Robotics-ER 1.6. Early access is available to partners.
0:58

We’re launching the first in a series of Embodied Reasoning offerings: Perceptron Egocentric. It achieves SOTA over the best robotic annotation pipelines built on Gemini 3.5 Flash and Gemini Robotics-ER 1.6. Early access is available to partners.

Perceptron AI

105,928 görüntüleme • 23 gün önce

Watch how fast Gemini 3.1 Flash-Lite can generate websites. ⚡ This browser creates each page in real-time as you click, search, and navigate. Give it a try →
1:27

Watch how fast Gemini 3.1 Flash-Lite can generate websites. ⚡ This browser creates each page in real-time as you click, search, and navigate. Give it a try →

Google DeepMind

839,916 görüntüleme • 4 ay önce

Introducing Gemini 3.5 Flash ⚡️ Normally, Gemini 3.5 Flash is 4x faster than other models with frontier performance. For a limited time, Antigravity is serving it 12x faster thanks to custom inference tricks, delivering incredible speed for your workflows. 🚀 See the performance in this demo: generating pixel art from photos, orchestrating multi-agent workflows to write and register sprites, and spawning browser subagents to auto-test rendering: 👇
1:08

Introducing Gemini 3.5 Flash ⚡️ Normally, Gemini 3.5 Flash is 4x faster than other models with frontier performance. For a limited time, Antigravity is serving it 12x faster thanks to custom inference tricks, delivering incredible speed for your workflows. 🚀 See the performance in this demo: generating pixel art from photos, orchestrating multi-agent workflows to write and register sprites, and spawning browser subagents to auto-test rendering: 👇

Google Antigravity

131,995 görüntüleme • 2 ay önce

Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in Google AI Studio or try them out in the Google Gemini
0:42

Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in Google AI Studio or try them out in the Google Gemini

Google AI

431,501 görüntüleme • 11 gün önce

Announcing Gemini 3.1 Flash-Lite! ⚡️📷 Our fastest and most cost-efficient Gemini 3 series model yet. A 45 % increase in output speed and it outperforms 2.5 Flash. It also has dynamic thinking levels to match task complexity. Demo:
0:56

Announcing Gemini 3.1 Flash-Lite! ⚡️📷 Our fastest and most cost-efficient Gemini 3 series model yet. A 45 % increase in output speed and it outperforms 2.5 Flash. It also has dynamic thinking levels to match task complexity. Demo:

Addy Osmani

53,110 görüntüleme • 5 ay önce

Infinite Wiki ⁕ Every word is a hyperlink. Every description is generated in real-time (in ~1 second) ⁕ Runs on Gemini 2.5 Flash Lite. ASCII diagrams using 2.5 Flash
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Infinite Wiki ⁕ Every word is a hyperlink. Every description is generated in real-time (in ~1 second) ⁕ Runs on Gemini 2.5 Flash Lite. ASCII diagrams using 2.5 Flash

Dev Valladares

258,312 görüntüleme • 1 yıl önce

I just built a Voice AI Agent for insurance claims using Gemini 3.1 Flash Live and Google ADK. Talk to it. It fills the intake form, extracts claim details, and routes to an adjuster in real-time. 100% Opensource.
2:04

I just built a Voice AI Agent for insurance claims using Gemini 3.1 Flash Live and Google ADK. Talk to it. It fills the intake form, extracts claim details, and routes to an adjuster in real-time. 100% Opensource.

Shubham Saboo

71,757 görüntüleme • 3 ay önce

What if you could talk to your Telegram bot and it actually talked back? Learn how built a voice-enabled Telegram bot with the Gemini Interactions API in ~400 lines of Python. Send a voice note in any language, Gemini understands the audio and replies with text and a spoken voice message. Uses: - Gemini 3.1 Flash Lite for reasoning, 3.1 Flash TTS for speech - Interactions API handles multi-turn memory server-side - Native audio input, no transcription step needed - Deploys to Cloud Run with scale-to-zero Awesome work by Thor 雷神 ⚡️. 🤗
9:11

What if you could talk to your Telegram bot and it actually talked back? Learn how built a voice-enabled Telegram bot with the Gemini Interactions API in ~400 lines of Python. Send a voice note in any language, Gemini understands the audio and replies with text and a spoken voice message. Uses: - Gemini 3.1 Flash Lite for reasoning, 3.1 Flash TTS for speech - Interactions API handles multi-turn memory server-side - Native audio input, no transcription step needed - Deploys to Cloud Run with scale-to-zero Awesome work by Thor 雷神 ⚡️. 🤗

Philipp Schmid

11,156 görüntüleme • 3 ay önce

We built a live multilingual, multi-person video call with Gemini 3.5 Live Translate on LiveKit. Everyone picks their language, speaks naturally, and hears each other in real time in their language of choice. Watch the demo and check out the open source repo:
0:39

We built a live multilingual, multi-person video call with Gemini 3.5 Live Translate on LiveKit. Everyone picks their language, speaks naturally, and hears each other in real time in their language of choice. Watch the demo and check out the open source repo:

LiveKit

21,636 görüntüleme • 1 ay önce

Gemini 3.6 Flash can quickly understand context and help you create your own custom creative tools. For example, it can extract real natural textures from photos of your environment to build prints and design elements, then quickly export them to use directly in your workflows.
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Gemini 3.6 Flash can quickly understand context and help you create your own custom creative tools. For example, it can extract real natural textures from photos of your environment to build prints and design elements, then quickly export them to use directly in your workflows.

Google Gemini

149,392 görüntüleme • 11 gün önce

Build a jet lag strategy for your next trip with Gemini 3.5 Flash. Gemini can grab your flight itinerary from Gmail, build a custom sleep schedule based on your time zone, and add it right to your calendar for helpful reminders.
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Build a jet lag strategy for your next trip with Gemini 3.5 Flash. Gemini can grab your flight itinerary from Gmail, build a custom sleep schedule based on your time zone, and add it right to your calendar for helpful reminders.

Google Gemini

35,753,700 görüntüleme • 1 ay önce

Here's how Gemini 2.5 Flash-Lite writes the code for a UI and its contents based solely on the context of what appears in the previous screen - all in the time it takes to click a button. 💻 ↓
1:08

Here's how Gemini 2.5 Flash-Lite writes the code for a UI and its contents based solely on the context of what appears in the previous screen - all in the time it takes to click a button. 💻 ↓

Google DeepMind

1,058,647 görüntüleme • 1 yıl önce

Computer Use is now a built-in tool supported in Gemini 3.5 Flash. 💻 Developers can now use 3.5 Flash to build custom agents that see and take action across browser, mobile and desktop environments.
0:38

Computer Use is now a built-in tool supported in Gemini 3.5 Flash. 💻 Developers can now use 3.5 Flash to build custom agents that see and take action across browser, mobile and desktop environments.

Google

242,432 görüntüleme • 1 ay önce

Gemini 3.5 Flash is a step forward for Google on speed and agentic capabilities but comes at a trade-off of being higher cost than prior models We have measured up to ~280 output tokens/sec, placing it on the speed/intelligence Pareto frontier and well ahead of Gemini 3 Flash. It also shows a major uplift on agentic tasks, reaching ~1650 ELO on GDPVal-AA. The trade-off: cost is up ~5x versus Gemini 3 Flash, driven by higher token prices (3x higher than Gemini 3 Flash) and higher token usage. In this video, Declan Jackson, Member of Technical Staff at Artificial Analysis, breaks it down.
1:57

Gemini 3.5 Flash is a step forward for Google on speed and agentic capabilities but comes at a trade-off of being higher cost than prior models We have measured up to ~280 output tokens/sec, placing it on the speed/intelligence Pareto frontier and well ahead of Gemini 3 Flash. It also shows a major uplift on agentic tasks, reaching ~1650 ELO on GDPVal-AA. The trade-off: cost is up ~5x versus Gemini 3 Flash, driven by higher token prices (3x higher than Gemini 3 Flash) and higher token usage. In this video, Declan Jackson, Member of Technical Staff at Artificial Analysis, breaks it down.

Artificial Analysis

16,055 görüntüleme • 2 ay önce