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2.5 models are thinking models, capable of reasoning through thoughts before responding. The result is enhanced performance and improved accuracy. This means Gemini 2.5 can handle more complex problems in coding, science and math, and support more context-aware agents.

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31,496,759 subscribers

31,023 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 7

Фото профиля Google
Google1 год назад

Introducing Gemini 2.5, our most intelligent AI model. Our first release, an experimental version of 2.5 Pro, unlocks state-of-the-art performance in math and science. 🔥 Learn more 🧵

Фото профиля Google
Google1 год назад

Today we’re releasing an experimental version of Gemini 2.5 Pro. 💡2.5 Pro shows strong reasoning and improved code capabilities, with state-of-the-art performance across a range of benchmarks. 📈It’s topped @lmarena_ai's leaderboard by a huge margin

Фото профиля Google
Google1 год назад

Take Gemini 2.5 Pro for a spin: 🔵Developers can try it out in Google AI Studio 🔵 @GeminiApp Advanced users can select it in the model dropdown It will be available on Vertex AI in the coming weeks. Learn more ⬇️

Фото профиля Emily Burns🇺🇸
Emily Burns🇺🇸1 год назад

awesome!

Фото профиля MwCheen_1326
MwCheen_13261 год назад

😍

Фото профиля Renee Guest
Renee Guest1 год назад

Would it know how to cure copd??

Фото профиля Mike Angelo
Mike Angelo1 год назад

Nothing intelligent about programmed lies and deception.

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Listen up 🔊 We’ve made some updates to our Gemini Audio models and capabilities: — Gemini’s live speech-to-speech translation capability is rolling out in a beta experience to the Google Translate app, bringing you real-time audio translation that captures the nuance of human speech — Gemini 2.5 Flash and 2.5 Pro Text-to-Speech preview models bring improved adherence to style prompts, precision pacing with context-aware speed adjustments, and character voice consistency for multi-speaker scenarios — Gemini 2.5 Flash Native Audio is now updated, with improvements to handle complex workflows, navigate user instructions, and hold natural conversations
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Listen up 🔊 We’ve made some updates to our Gemini Audio models and capabilities: — Gemini’s live speech-to-speech translation capability is rolling out in a beta experience to the Google Translate app, bringing you real-time audio translation that captures the nuance of human speech — Gemini 2.5 Flash and 2.5 Pro Text-to-Speech preview models bring improved adherence to style prompts, precision pacing with context-aware speed adjustments, and character voice consistency for multi-speaker scenarios — Gemini 2.5 Flash Native Audio is now updated, with improvements to handle complex workflows, navigate user instructions, and hold natural conversations

Google AI

1,092,358 просмотров • 7 месяцев назад

Gemini 3 Flash is significantly faster and more efficient than 2.5 Pro. Watch below as 3 Flash generates complex graphics, 3D models, and a web app before the previous generation even finishes processing⚡
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Gemini 3 Flash is significantly faster and more efficient than 2.5 Pro. Watch below as 3 Flash generates complex graphics, 3D models, and a web app before the previous generation even finishes processing⚡

Sundar Pichai

286,627 просмотров • 7 месяцев назад

From napkin sketch to fully coded app ✨ Bring your ideas to life with Gemini 2.5 Pro. Learn more about the latest updates to our 2.5 models → #GoogleIO
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From napkin sketch to fully coded app ✨ Bring your ideas to life with Gemini 2.5 Pro. Learn more about the latest updates to our 2.5 models → #GoogleIO

Google

108,603 просмотров • 1 год назад

New native audio capabilities in Gemini 2.5 enable text-to-speech in over 24 languages. 🔊Voices are more natural and expressive, and you can seamlessly switch between languages.
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New native audio capabilities in Gemini 2.5 enable text-to-speech in over 24 languages. 🔊Voices are more natural and expressive, and you can seamlessly switch between languages.

Google

155,360 просмотров • 1 год назад

Google drops Gemini 2.0 Flash Thinking a new experimental model that unlocks stronger reasoning capabilities and shows its thoughts. The model plans (with thoughts visible), can solve complex problems with Flash speeds, and more now available in anychat, try it out:
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Google drops Gemini 2.0 Flash Thinking a new experimental model that unlocks stronger reasoning capabilities and shows its thoughts. The model plans (with thoughts visible), can solve complex problems with Flash speeds, and more now available in anychat, try it out:

AK

141,723 просмотров • 1 год назад

✨ What makes Gemini 2.5 Pro stand out? In this Release Notes episode, Sr. Product Manager Logan Kilpatrick and Gemini Product Lead Tulsee Doshi break down its reasoning, coding, and multimodal strengths, plus a 1M token long context. ↓ Timecodes: 1:05 Gemini 2.5 launch overview 3:19 Academic evals vs. vibe checks 6:19 The jump to 2.5 7:51 Coordinating cross-stack improvements 11:48 Role of pre/post-training vs. test-time compute 13:21 Shipping Gemini 2.5 15:29 Embedded safety process 17:28 Multimodal reasoning with Gemini 2.5 18:55 Benchmark deep dive 22:07 What’s next for Gemini 24:49 Dynamic thinking in Gemini 2.5 25:37 The team effort behind the launch
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✨ What makes Gemini 2.5 Pro stand out? In this Release Notes episode, Sr. Product Manager Logan Kilpatrick and Gemini Product Lead Tulsee Doshi break down its reasoning, coding, and multimodal strengths, plus a 1M token long context. ↓ Timecodes: 1:05 Gemini 2.5 launch overview 3:19 Academic evals vs. vibe checks 6:19 The jump to 2.5 7:51 Coordinating cross-stack improvements 11:48 Role of pre/post-training vs. test-time compute 13:21 Shipping Gemini 2.5 15:29 Embedded safety process 17:28 Multimodal reasoning with Gemini 2.5 18:55 Benchmark deep dive 22:07 What’s next for Gemini 24:49 Dynamic thinking in Gemini 2.5 25:37 The team effort behind the launch

Google AI Developers

228,118 просмотров • 1 год назад

Chain-of-thought reasoning is a powerful tool to enable language models to work through complex problems. Can we use this with robots? With embodied chain-of-thought, vision-language-action (VLA) models can think through perception and planning! A 🧵👇
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Chain-of-thought reasoning is a powerful tool to enable language models to work through complex problems. Can we use this with robots? With embodied chain-of-thought, vision-language-action (VLA) models can think through perception and planning! A 🧵👇

Sergey Levine

30,388 просмотров • 2 лет назад

AI Mode is rolling out to everyone in the US. It’s a total reimagining of Search with more advanced reasoning so you can ask longer, complex queries. AI Overviews are now used by 1.5B people a month, in 200+ countries and territories. And Gemini 2.5 is coming to both this week.
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AI Mode is rolling out to everyone in the US. It’s a total reimagining of Search with more advanced reasoning so you can ask longer, complex queries. AI Overviews are now used by 1.5B people a month, in 200+ countries and territories. And Gemini 2.5 is coming to both this week.

Sundar Pichai

61,159 просмотров • 1 год назад

🚀New Model Alert 🚀 We are thrilled to announce that we have integrated #OpenAI’s latest and most powerful o1 Series models—o1-Preview and o1-Mini—into our platform. Experience faster performance and enhanced capabilities with these new AI models. ✨ Key highlights include: • Advanced reasoning & problem-solving • Outperforms previous models in math, science & coding • o1 reaches 89th percentile in Codeforces competitions & performs like PhD students in STEM fields! Learn more: Try for yourself: #SiderAI #o1preview #o1mini #o1 #AI
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Gemini 3 Pro is now in public preview for GitHub Copilot! Early testing in Visual Studio Code shows a 35% higher accuracy compared to Gemini 2.5 Pro. 🚀 Solve real-world problems faster and more effectively. Learn more. 👇
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Gemini 3 Pro is now in public preview for GitHub Copilot! Early testing in Visual Studio Code shows a 35% higher accuracy compared to Gemini 2.5 Pro. 🚀 Solve real-world problems faster and more effectively. Learn more. 👇

GitHub

503,738 просмотров • 8 месяцев назад

AI has its PhD and now it’s on the job market. Introducing the AI Productivity Index (APEX), a benchmark that measures how well we’ve automated the most valuable industries in the world. Most benchmarks study abstract capabilities. APEX evaluates model performance on real deliverables across law, finance, consulting, and medicine. The models most capable of doing work today, according to APEX: 🥇 GPT 5 🥈 Grok 4 🥉 Gemini 2.5 Flash Other findings: - GPT 5 demonstrates the strongest performance across all 4 domains - Some cheaper models outperform more expensive models from the same provider (e.g. Gemini 2.5 Flash vs. Gemini 2.5 Pro) - The best open source model, Qwen (7th), performs only 2% behind Grok 4 overall
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AI has its PhD and now it’s on the job market. Introducing the AI Productivity Index (APEX), a benchmark that measures how well we’ve automated the most valuable industries in the world. Most benchmarks study abstract capabilities. APEX evaluates model performance on real deliverables across law, finance, consulting, and medicine. The models most capable of doing work today, according to APEX: 🥇 GPT 5 🥈 Grok 4 🥉 Gemini 2.5 Flash Other findings: - GPT 5 demonstrates the strongest performance across all 4 domains - Some cheaper models outperform more expensive models from the same provider (e.g. Gemini 2.5 Flash vs. Gemini 2.5 Pro) - The best open source model, Qwen (7th), performs only 2% behind Grok 4 overall

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Exclusive: Google just released two upgraded Gemini 1.5 models, 1.5-Pro-002 and 1.5-Flash-002 — achieving new, state-of-the-art performance across math. I sat down with Logan Kilpatrick (Logan Kilpatrick) to discuss the models, AI agents, AGI, and more. Timestamps: 00:00 Intro 01:01 Google rolls out two new Gemini models 2:18 What makes the new models so unique 3:40 Math improvements 8:20 Examples of Gemini 1.5 in the real world 10:19 Future problems AI could solve 12:54 Advantages of Gemini 1.5 16:50 Where beginners can get started 19:01 Advice to thrive in the new age of AI 22:02 Turning notes into podcasts 26:30 AI agents: Definitions and what they can do 31:22 What’s the final form for agents? 33:26 Proactive AI agent systems 36:00 Context windows in the agent era 41:01 AGI’s definition in Logan’s eyes 42:05 The current bottlenecks towards AGI

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