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Gemini 3.7 Flash: "Play 1 round of Wordle" using my Android emulator via ADB. The latency and visual reasoning make Gemini 3.7 Flash exceptionally good for multimodal agentic use case like mobile control and Computer Use.

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Philipp Schmid

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18,290 次观看 • 10 天前 •via X (Twitter)

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Yesterday we launched computer use in Gemini 3.5 Flash with browser, mobile, and desktop environments. I put together a quickstart for how to control an Android Phone. 1. Single script to install emulator from terminal. 2. Basic agent loop with interactions API using `adb` to control the phone. 3. Connects to remote devices too (`adb connect :5555`). 4. Same pattern works for iOS with, e.g. simctl.
0:30

Yesterday we launched computer use in Gemini 3.5 Flash with browser, mobile, and desktop environments. I put together a quickstart for how to control an Android Phone. 1. Single script to install emulator from terminal. 2. Basic agent loop with interactions API using `adb` to control the phone. 3. Connects to remote devices too (`adb connect :5555`). 4. Same pattern works for iOS with, e.g. simctl.

Philipp Schmid

29,563 次观看 • 2 个月前

Gemini Spark now runs on Gemini 3.7 Flash.⚡️ Whether you’re using Spark to compile vendors into Sheets or draft negotiation emails, 3.7 Flash makes your personal AI agent more precise and accurate with improved tool use for Google Workspace apps to help turn ideas into action.
1:01

Gemini Spark now runs on Gemini 3.7 Flash.⚡️ Whether you’re using Spark to compile vendors into Sheets or draft negotiation emails, 3.7 Flash makes your personal AI agent more precise and accurate with improved tool use for Google Workspace apps to help turn ideas into action.

Google Gemini

536,545 次观看 • 14 天前

We’re expanding the Gemini 3 family with the launch of Gemini 3 Flash. This model: — Combines Gemini 3’s Pro-grade reasoning with Flash-level latency, efficiency, and cost — Delivers frontier-level performance on PHD-level reasoning and knowledge benchmarks — Is our most impressive model for agentic workflows Watch Gemini 3 Flash handle hundreds of function calling options at low latency, compiling global recipes from 100 ingredients and 100 kitchen tools.
1:06

We’re expanding the Gemini 3 family with the launch of Gemini 3 Flash. This model: — Combines Gemini 3’s Pro-grade reasoning with Flash-level latency, efficiency, and cost — Delivers frontier-level performance on PHD-level reasoning and knowledge benchmarks — Is our most impressive model for agentic workflows Watch Gemini 3 Flash handle hundreds of function calling options at low latency, compiling global recipes from 100 ingredients and 100 kitchen tools.

Google AI

229,722 次观看 • 8 个月前

Gemini 3 Flash can analyze high-fidelity images and use multimodal reasoning to determine next steps. See how the model understands complex visuals and generates layers of interactive elements.
0:28

Gemini 3 Flash can analyze high-fidelity images and use multimodal reasoning to determine next steps. See how the model understands complex visuals and generates layers of interactive elements.

Google AI Developers

47,280 次观看 • 8 个月前

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

243,071 次观看 • 2 个月前

🆕Google DeepMind's Gemini 3.7 Flash dropped this morning, and our evals showed it scored higher and ran about 37% faster than Gemini 3.6 Flash, with the largest gains on the most challenging analytical tasks. Here's how it performs on one of those tasks: private credit work. In this Box Agent demo, Gemini 3.7 Flash reviews 15 documents in a borrower package, catches an outdated leverage limit, applies the amended 5.50x threshold, corrects for $4M in restricted cash and a $1.5M unsupported add-back, flags a potential covenant exception at 5.58x, and saves a cited review back to Box for the portfolio team. Customers can use Gemini 3.7 Flash in Box AI Studio to build custom agents grounded in their enterprise content.
0:45

🆕Google DeepMind's Gemini 3.7 Flash dropped this morning, and our evals showed it scored higher and ran about 37% faster than Gemini 3.6 Flash, with the largest gains on the most challenging analytical tasks. Here's how it performs on one of those tasks: private credit work. In this Box Agent demo, Gemini 3.7 Flash reviews 15 documents in a borrower package, catches an outdated leverage limit, applies the amended 5.50x threshold, corrects for $4M in restricted cash and a $1.5M unsupported add-back, flags a potential covenant exception at 5.58x, and saves a cited review back to Box for the portfolio team. Customers can use Gemini 3.7 Flash in Box AI Studio to build custom agents grounded in their enterprise content.

Box

3,817,973 次观看 • 14 天前

ICYMI: Gemini 3.7 Flash is now available to all Google AI Pro and Ultra users in Gemini chat and Gemini Spark ✨ For Gemini Spark, this means your 24/7 personal AI agent in the Google Gemini is now even better at handling multi-step tasks for you and using tools across your Google Workspace apps like Google Calendar, Google Docs, and Gmail.
1:01

ICYMI: Gemini 3.7 Flash is now available to all Google AI Pro and Ultra users in Gemini chat and Gemini Spark ✨ For Gemini Spark, this means your 24/7 personal AI agent in the Google Gemini is now even better at handling multi-step tasks for you and using tools across your Google Workspace apps like Google Calendar, Google Docs, and Gmail.

Google

349,557 次观看 • 8 天前

Antigravity's computer use has also been massively upgraded with Gemini 3 Flash. It is both faster and better at doing long agentic tasks using the browser. Here's Antigravity doing deep research on the Pareto frontier of models and writing code to visualize the result.
1:12

Antigravity's computer use has also been massively upgraded with Gemini 3 Flash. It is both faster and better at doing long agentic tasks using the browser. Here's Antigravity doing deep research on the Pareto frontier of models and writing code to visualize the result.

Varun Mohan

156,937 次观看 • 8 个月前

Excited to introduce Computer Use support for Gemini 3.5 Flash!🔥 This enables Gemini to reason and act across platforms (browser, mobile, and desktop environments) We see significant improvements across many work-related automation tasks, from filing tickets and more. Enjoy!
0:26

Excited to introduce Computer Use support for Gemini 3.5 Flash!🔥 This enables Gemini to reason and act across platforms (browser, mobile, and desktop environments) We see significant improvements across many work-related automation tasks, from filing tickets and more. Enjoy!

Omar Sanseviero

96,618 次观看 • 2 个月前

Today we're introducing Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents. This model brings substantial gains across software engineering, web development, and complex knowledge work. Now through the end of the year, Gemini 3.7 Flash is available at an introductory price* of $0.75/1M input and $3.75/1M output tokens — making it easier and more cost-effective for developers and customers to scale production-ready agents.
1:12

Today we're introducing Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents. This model brings substantial gains across software engineering, web development, and complex knowledge work. Now through the end of the year, Gemini 3.7 Flash is available at an introductory price* of $0.75/1M input and $3.75/1M output tokens — making it easier and more cost-effective for developers and customers to scale production-ready agents.

Google

1,169,052 次观看 • 14 天前

I asked Gemini 3.7 Flash to write prompts for modern web UI video backgrounds (great challenge to see the creativity of any model) and I really love the resulting aeshetics, rendered with Gemini Omni Flash. Some of the prompts I liked best below - which one is your favourite?
0:49

I asked Gemini 3.7 Flash to write prompts for modern web UI video backgrounds (great challenge to see the creativity of any model) and I really love the resulting aeshetics, rendered with Gemini Omni Flash. Some of the prompts I liked best below - which one is your favourite?

genevieveh@

70,246 次观看 • 11 天前

Welcome to the world, Gemini 2.0 ✨ our most capable AI model yet. We're first releasing an experimental version of 2.0 Flash ⚡ It has better performance, new multimodal output, Google tool use - and paves the way for new agentic experiences. 🧵
2:52

Welcome to the world, Gemini 2.0 ✨ our most capable AI model yet. We're first releasing an experimental version of 2.0 Flash ⚡ It has better performance, new multimodal output, Google tool use - and paves the way for new agentic experiences. 🧵

Google DeepMind

365,450 次观看 • 1 年前

Gemini 3.5 Flash now supports native computer use. This built-in tool lets developers build custom agents that can see and take action across browser, mobile, and desktop interfaces. Find out more →
1:21

Gemini 3.5 Flash now supports native computer use. This built-in tool lets developers build custom agents that can see and take action across browser, mobile, and desktop interfaces. Find out more →

Google DeepMind

116,735 次观看 • 2 个月前

Watch Gemini 3.7 Flash handle autonomous website optimization in Google Antigravity. Leveraging MCP servers, multimodal understanding, and long-horizon execution, the agent sets out to achieve a 100 across all Lighthouse metrics and modernize the site to the latest web standards.
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Watch Gemini 3.7 Flash handle autonomous website optimization in Google Antigravity. Leveraging MCP servers, multimodal understanding, and long-horizon execution, the agent sets out to achieve a 100 across all Lighthouse metrics and modernize the site to the latest web standards.

Google Antigravity

97,240 次观看 • 14 天前

Gemini 2.5 Flash can control a browser! Excited to share Gemini Browser Agent, a simple Python script example on how to use Google DeepMind Gemini 2.5 Flash and Browser Use to act as general assistant! 🤯 Usage Examples: 1⃣ Single Query Mode: `python scripts/gemini-browser-use.py --url --query "Summarize the key features of Gemini 2.5 Flash."` 2⃣Interactive Mode: Start an interactive session, optionally with a starting URL. `python scripts/gemini-browser-use.py` Command-line options: --model: The Gemini model to use (default: gemini-2.5-flash-preview-04-17) --headless: Run the browser in headless mode --url: Starting URL for the browser to navigate to before processing the query --query: Run a single query and exit (instead of interactive mode) Time to build a replication of Manus and OpenAI Operator powered by Gemini 2.5. Code below ⬇️
0:52

Gemini 2.5 Flash can control a browser! Excited to share Gemini Browser Agent, a simple Python script example on how to use Google DeepMind Gemini 2.5 Flash and Browser Use to act as general assistant! 🤯 Usage Examples: 1⃣ Single Query Mode: `python scripts/gemini-browser-use.py --url --query "Summarize the key features of Gemini 2.5 Flash."` 2⃣Interactive Mode: Start an interactive session, optionally with a starting URL. `python scripts/gemini-browser-use.py` Command-line options: --model: The Gemini model to use (default: gemini-2.5-flash-preview-04-17) --headless: Run the browser in headless mode --url: Starting URL for the browser to navigate to before processing the query --query: Run a single query and exit (instead of interactive mode) Time to build a replication of Manus and OpenAI Operator powered by Gemini 2.5. Code below ⬇️

Philipp Schmid

105,308 次观看 • 1 年前

Playing Pokemon with LLMs became a benchmark, but what about Super Mario? Turns out Google DeepMind Gemini 2.0 Flash can play Super Mario in real-time due to its fast latency, multimodal input and long context! 🎮 Gemini 2.0 Flash receives screenshots of the game and then generates Python code (PyAutoGUI commands) for each screenshot to control the game for a short period (the next 1 or 2 seconds). Add a while loop to it and you have it play in real-time. 🤯
1:15

Playing Pokemon with LLMs became a benchmark, but what about Super Mario? Turns out Google DeepMind Gemini 2.0 Flash can play Super Mario in real-time due to its fast latency, multimodal input and long context! 🎮 Gemini 2.0 Flash receives screenshots of the game and then generates Python code (PyAutoGUI commands) for each screenshot to control the game for a short period (the next 1 or 2 seconds). Add a while loop to it and you have it play in real-time. 🤯

Philipp Schmid

153,086 次观看 • 1 年前