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🚨 Breaking: Google will soon launch Gemini CLI, a powerful open-source AI agent built for the terminal. - Built on Gemini 2.5 Pro - 1 million token context window - Free tier with 60 requests per minute and 1,000 per day - Google Search grounding for real-time context -...

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AshutoshShrivastava

80,855 subscribers

217,433 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 11

Фото профиля AllAboutAI
AllAboutAI1 год назад

Leaking your own blog post is peak Google energy 😂

Фото профиля AshutoshShrivastava
AshutoshShrivastava1 год назад

😂 not leaked but probably some mistake while setting publish date..

Фото профиля Mobile Scanner
Mobile Scanner1 год назад

Scan any documents, convert images into text, PDF files, etc. 👍

Фото профиля casslin
casslin1 год назад

Too many coding tools not enough vibe coders 🤣

Фото профиля AshutoshShrivastava
AshutoshShrivastava1 год назад

vibe from one tool to another.

Фото профиля Namra Patel
Namra Patel1 год назад

Competitor of Claude code ?

Фото профиля AshutoshShrivastava
AshutoshShrivastava1 год назад

Probably.. let's see

Фото профиля Emily
Emily1 год назад

Huge 🙏

Фото профиля Dylan Digitalian
Dylan Digitalian1 год назад

Open-source licensing could drive broader developer adoption.

Фото профиля Aaliya
Aaliya1 год назад

This is huge!

Фото профиля AshutoshShrivastava
AshutoshShrivastava1 год назад

yeah.

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🚀 Announcing Gemini CLI - your open-source AI agent for the terminal. Powered by Gemini 2.5 Pro. What's inside: 🧬 1M token context 🚦 60 req/min, 1K/day 🔐 Secure shell access 🧭 Web-grounded reasoning 🧰 Plugins + MCP 🗂️ Filesystem I/O 🧑‍🔧 Dev loop ready 📦 Open source - deeply customizable
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🚀 Announcing Gemini CLI - your open-source AI agent for the terminal. Powered by Gemini 2.5 Pro. What's inside: 🧬 1M token context 🚦 60 req/min, 1K/day 🔐 Secure shell access 🧭 Web-grounded reasoning 🧰 Plugins + MCP 🗂️ Filesystem I/O 🧑‍🔧 Dev loop ready 📦 Open source - deeply customizable

Addy Osmani

169,932 просмотров • 1 год назад

Google announces Gemini 1.5 blog: Gemini 1.5 Pro, mid-sized model, will soon come standard with a 128K-token context window, but starting today, developers + customers can sign up for the limited Private Preview to try out 1.5 Pro with a groundbreaking and experimental 1 million token context window
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13,850 просмотров • 2 лет назад

Introducing Gemini 3 ✨ It’s the best model in the world for multimodal understanding, and our most powerful agentic + vibe coding model yet. Gemini 3 can bring any idea to life, quickly grasping context and intent so you can get what you need with less prompting. Find Gemini 3 Pro rolling out today in the Google Gemini and AI Mode in Search. For developers, build with it now in Google AI Studio and Vertex AI. Excited for you to try it!
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Sundar Pichai

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Claude 3.7 Sonnet has serious competition! Gemini 2.5 Pro is a legit good model for code. - code quality is really good - 1M token context - native multimodality - long code generation - understand large codebases I used it with Windsurf to generate an AI search agent app:
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Claude 3.7 Sonnet has serious competition! Gemini 2.5 Pro is a legit good model for code. - code quality is really good - 1M token context - native multimodality - long code generation - understand large codebases I used it with Windsurf to generate an AI search agent app:

elvis

211,534 просмотров • 1 год назад

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Philipp Schmid

16,051 просмотров • 1 год назад

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In December, we launched Gemini 1.0 Pro. Today, we're introducing Gemini 1.5 Pro! 🚀 This next-gen model uses a Mixture-of-Experts (MoE) approach for more efficient training & higher-quality responses. Gemini 1.5 Pro, our mid-sized model, will soon come standard with a 128K-token context window, but starting today, developers + customers can sign up for the limited Private Preview to try out 1.5 Pro with a groundbreaking and experimental 1 million token context window! The 1M tokens feature unlocks huge possibilities for devs - upload hundreds of pages of text, entire code repos, and long videos and let Gemini reason across them. It's still experimental and early and we’d love your feedback - learn more here.

Sundar Pichai

852,803 просмотров • 2 лет назад

the most important thing about walrus memory is it works everywhere you're already building Anthropic Claude, OpenAI ChatGPT, and Google Gemini, with native mcp support and sdks for python, typescript and javascript plus, it's fully open source go start building
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the most important thing about walrus memory is it works everywhere you're already building Anthropic Claude, OpenAI ChatGPT, and Google Gemini, with native mcp support and sdks for python, typescript and javascript plus, it's fully open source go start building

Adeniyi.sui

16,870 просмотров • 2 месяцев назад

🚨 Google just dropped Gemini Pro 1.5, the next version of its AI model with a 1,000,000+ token context length. The model can now understand entire books, full movies, and podcast series' all in one go. This surpasses all other competitor Chatbot context windows by a longshot. Gemini Pro 1.5 now uses a Mixture-of-Experts (MoE) approach for more efficient training and higher-quality responses. Impressive to see Google ship Pro 1.5 mid-February just after the launch of Pro 1.0 in December, and Advanced last week.
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Rowan Cheung

792,363 просмотров • 2 лет назад

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125,385 просмотров • 7 месяцев назад

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105,308 просмотров • 1 год назад