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Introducing our ✨ brand new ✨ Studio UI. Rolling out today, you can: 🎙️ Create multiple outputs from the same sources (including AOs in different languages) 🎧 Listen to audio overviews while using other features (chat, FAQ, etc) 📄 Select sources when creating outputs

Gemini Notebook

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155,225 次观看 • 1 年前 •via X (Twitter)

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You've been asking for more mobile updates. There's more to come, but as of today we are officially unveiling our ✨new studio design✨. This will allow you to make multiple audio overviews per notebook, including different languages, lengths, customizations, and more!

You've been asking for more mobile updates. There's more to come, but as of today we are officially unveiling our ✨new studio design✨. This will allow you to make multiple audio overviews per notebook, including different languages, lengths, customizations, and more!

Gemini Notebook

107,811 次观看 • 9 个月前

🚨 Video Overviews & new Studio UI are OFFICIALLY rolled out to 100% ‼️ A cool use case we tried was uploading travel photos and creating a video summary of our trip. It can already read and understand images in ✨ other languages!✨ Hm, I wonder what's coming next... 👀

🚨 Video Overviews & new Studio UI are OFFICIALLY rolled out to 100% ‼️ A cool use case we tried was uploading travel photos and creating a video summary of our trip. It can already read and understand images in ✨ other languages!✨ Hm, I wonder what's coming next... 👀

NotebookLM

55,386 次观看 • 1 年前

Reports are getting a MAJOR update starting today (buckle up, this is a big one 🤯): 1) You can now create your own report that perfectly fits your needs by specifying the structure, style, tone, and more. 2) We've added the language picker to reports, so you can now create a report in any of our 80+ supported languages. 3) Notebook will now offer dynamic suggestions for topics or themes all based on your sources, from overviews to deep dives. For example, uploading scientific papers might suggest creating a white paper, while news articles could generate explainers. 4) You can now fully customize prompts to any of your reports 5) We're introducing a new stock report— blog posts!

Reports are getting a MAJOR update starting today (buckle up, this is a big one 🤯): 1) You can now create your own report that perfectly fits your needs by specifying the structure, style, tone, and more. 2) We've added the language picker to reports, so you can now create a report in any of our 80+ supported languages. 3) Notebook will now offer dynamic suggestions for topics or themes all based on your sources, from overviews to deep dives. For example, uploading scientific papers might suggest creating a white paper, while news articles could generate explainers. 4) You can now fully customize prompts to any of your reports 5) We're introducing a new stock report— blog posts!

Gemini Notebook

904,865 次观看 • 10 个月前

Introducing the Knowledge Agent Template Vercel dropped the Chat SDK so we built a full template on top of it that you can deploy in one click. Here's what's inside: • Add your sources: GitHub repos, YouTube, etc. directly from the UI • File-based agent using grep/find/cat • Powered by Vercel Workflow + Sandbox • Multi-platform: web chat, GitHub bot, Discord bot, and more • Comes with skills to edit your project, add sources, create agents Deploy, add a source, ask questions. Your knowledge base is live and always in sync. This is just scratching the surface. There's way more packed in this template, and I'll be breaking down the features all week. Links in the below 👇

Introducing the Knowledge Agent Template Vercel dropped the Chat SDK so we built a full template on top of it that you can deploy in one click. Here's what's inside: • Add your sources: GitHub repos, YouTube, etc. directly from the UI • File-based agent using grep/find/cat • Powered by Vercel Workflow + Sandbox • Multi-platform: web chat, GitHub bot, Discord bot, and more • Comes with skills to edit your project, add sources, create agents Deploy, add a source, ask questions. Your knowledge base is live and always in sync. This is just scratching the surface. There's way more packed in this template, and I'll be breaking down the features all week. Links in the below 👇

Hugo

54,481 次观看 • 5 个月前

🚨 MAJOR MOBILE UPDATES: 1. Upload images as sources directly from your mobile app. Select an image from your camera roll OR tap the new camera icon to take a live picture (whiteboards, textbooks, handouts, etc). 2. Infographics and Slide Decks are officially rolling out on mobile! Utilize the best of Nano Banana Pro, right from your pocket. 3. The app will save the progress on your audio overviews, so even if you exit the app, you can track which ones you've already completed or pick up where you left off (across mobile and web!)

🚨 MAJOR MOBILE UPDATES: 1. Upload images as sources directly from your mobile app. Select an image from your camera roll OR tap the new camera icon to take a live picture (whiteboards, textbooks, handouts, etc). 2. Infographics and Slide Decks are officially rolling out on mobile! Utilize the best of Nano Banana Pro, right from your pocket. 3. The app will save the progress on your audio overviews, so even if you exit the app, you can track which ones you've already completed or pick up where you left off (across mobile and web!)

NotebookLM

439,699 次观看 • 8 个月前

Today we're launching a brand new Video Editor and Recorder in the iOS app. This includes some long-awaited features: • Overlay captions in multiple languages and customize their look • Green Screen—Add custom backgrounds using posts or photos from your camera roll One of our biggest priorities is to give creators the tools to create original content & reward those creators. We have plenty more updates coming to the video editor in the coming weeks.

Nikita Bier

1,125,777 次观看 • 27 天前

Personally, I've been using Perplexity way more than any other tool for Search. Seems to give me back exactly what I want, with up-to-date sources and citations. An example in the video is creating some prep notes for a chat with @dimireadsthings from Wondercraft & Victoria Weller from 🧠 Bonus - it tailors the reply to your AI profile. Second Bonus - you can add Perplexity queries to an Apple Shortcut to auto-create from new Calendar events 🪄 Enjoy

Tom Osman 🐦‍⬛

30,992 次观看 • 3 年前

New Short Course: Getting Structured LLM Output! Learn how to get structured outputs from your LLM applications in this course, built in partnership with .txt, and taught by Will Kurt, a Founding Engineer, and , Developer Relations Engineer. It's challenging for software to automatically parse through an LLM's freeform text outputs. Structured outputs—like JSON—solve this by converting natural language into consistent, clear, data that a machine can read and process. This course teaches you how to generate structured outputs while building several use cases, including a social media analysis agent. You’ll learn about structured outputs and efficient ways to generate outputs in your defined schema or format. You’ll begin by using structured output APIs, then use re-prompting libraries like “instructor” to generate structured output. Finally, you’ll learn how constrained decoding works; this is a very clever technique in which constraints are applied on each subsequent token generated, blocking any tokens that don’t fit your defined schema. In detail, you’ll: - Learn why structured outputs are important, how they allow for scalable software development, and the different approaches to generate them, including vendor-provided APIs, re-prompting libraries, and structured generation. - Build a simple social media agent using OpenAI’s structured output API, learn how to define a model's desired structured output using Pydantic, and perform basic programming with your outputs, such as importing structured data into a data frame using pandas. - Learn how to use the open-source library "instructor," which checks the structured output of the model and re-prompts the model until it validates the desired output, and explore the limitations of this approach. - Understand how structured generation by the “outlines” library works by modifying LLM logits, on a per-generated-token basis based on the desired format, to give a particular output structure. - Learn how regular expressions, which outlines works with, are represented as finite-state machines, and how they can be used to develop a range of structured outputs beyond JSON. By the end of this course, you’ll have broadened your knowledge of the approaches you can use to get structured outputs from your LLM applications. Please sign up here:

New Short Course: Getting Structured LLM Output! Learn how to get structured outputs from your LLM applications in this course, built in partnership with .txt, and taught by Will Kurt, a Founding Engineer, and , Developer Relations Engineer. It's challenging for software to automatically parse through an LLM's freeform text outputs. Structured outputs—like JSON—solve this by converting natural language into consistent, clear, data that a machine can read and process. This course teaches you how to generate structured outputs while building several use cases, including a social media analysis agent. You’ll learn about structured outputs and efficient ways to generate outputs in your defined schema or format. You’ll begin by using structured output APIs, then use re-prompting libraries like “instructor” to generate structured output. Finally, you’ll learn how constrained decoding works; this is a very clever technique in which constraints are applied on each subsequent token generated, blocking any tokens that don’t fit your defined schema. In detail, you’ll: - Learn why structured outputs are important, how they allow for scalable software development, and the different approaches to generate them, including vendor-provided APIs, re-prompting libraries, and structured generation. - Build a simple social media agent using OpenAI’s structured output API, learn how to define a model's desired structured output using Pydantic, and perform basic programming with your outputs, such as importing structured data into a data frame using pandas. - Learn how to use the open-source library "instructor," which checks the structured output of the model and re-prompts the model until it validates the desired output, and explore the limitations of this approach. - Understand how structured generation by the “outlines” library works by modifying LLM logits, on a per-generated-token basis based on the desired format, to give a particular output structure. - Learn how regular expressions, which outlines works with, are represented as finite-state machines, and how they can be used to develop a range of structured outputs beyond JSON. By the end of this course, you’ll have broadened your knowledge of the approaches you can use to get structured outputs from your LLM applications. Please sign up here:

Andrew Ng

89,779 次观看 • 1 年前

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!

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!

Sundar Pichai

2,951,599 次观看 • 8 个月前

Today, we’re introducing Skills in Chrome, a new way to build one-click workflows for your most frequently used AI prompts — like asking for ingredient substitutions to make a recipe vegan, generating side-by-side shopping comparisons across multiple tabs, or scanning long docs to get the info you need quickly. When you write a prompt that you want to use again, you can save it as a Skill directly from your chat history. The next time you need it, select your saved Skill in Gemini in Chrome by typing forward slash ( / ) or clicking the plus sign ( + ) button, and your Skill will run on the page you’re viewing, along with any other tabs you select.

Today, we’re introducing Skills in Chrome, a new way to build one-click workflows for your most frequently used AI prompts — like asking for ingredient substitutions to make a recipe vegan, generating side-by-side shopping comparisons across multiple tabs, or scanning long docs to get the info you need quickly. When you write a prompt that you want to use again, you can save it as a Skill directly from your chat history. The next time you need it, select your saved Skill in Gemini in Chrome by typing forward slash ( / ) or clicking the plus sign ( + ) button, and your Skill will run on the page you’re viewing, along with any other tabs you select.

Google

1,280,810 次观看 • 3 个月前

$We’re shipping two major updates to streamline your creative workflow, allowing you to generate high-speed images with one model and then instantly animate them with the other—all at a fraction of the cost 🍌⚡️ 1️⃣ Introducing Nano Banana 2 Lite: Our fastest and most cost-efficient Gemini Image model yet delivers text-to-image outputs in under 4 seconds. Now available via the Gemini API and Google AI Studio, and rolling out soon across @NotebookLM, Google Flow, Google Gemini, Stitch by Google, Google Search and Google Photos. 2️⃣ Gemini Omni Flash in Public Preview: Our natively multimodal model for cost-efficient video generation and conversational editing. Now available via the Gemini API, Google AI Studio, and Gemini Enterprise Agent Platform so you can integrate the model into your workflow. While exciting on their own, the real magic happens when you build using these models together. Watch how our interior design demo integrates Nano Banana 2 Lite and Omni to instantly reimagine any space. Upload a photo, swipe through tailored design concepts, and see Omni bring the details to life in cinematic motion. Try out the demo app in AI Studio:$

We’re shipping two major updates to streamline your creative workflow, allowing you to generate high-speed images with one model and then instantly animate them with the other—all at a fraction of the cost 🍌⚡️ 1️⃣ Introducing Nano Banana 2 Lite: Our fastest and most cost-efficient Gemini Image model yet delivers text-to-image outputs in under 4 seconds. Now available via the Gemini API and Google AI Studio, and rolling out soon across @NotebookLM, Google Flow, Google Gemini, Stitch by Google, Google Search and Google Photos. 2️⃣ Gemini Omni Flash in Public Preview: Our natively multimodal model for cost-efficient video generation and conversational editing. Now available via the Gemini API, Google AI Studio, and Gemini Enterprise Agent Platform so you can integrate the model into your workflow. While exciting on their own, the real magic happens when you build using these models together. Watch how our interior design demo integrates Nano Banana 2 Lite and Omni to instantly reimagine any space. Upload a photo, swipe through tailored design concepts, and see Omni bring the details to life in cinematic motion. Try out the demo app in AI Studio:

Google AI

124,527 次观看 • 1 个月前

Two big steps towards our vision for @NotebookLM as the ultimate research platform: • Integrating Deep Research, with a set of only-at-Notebook features that let you explore the retrieved sources • Launching a series of Featured Notebooks curated by Google Research These developments are designed to enhance the full life cycle of research and scholarship: using the power of AI to assemble the knowledge base you need to advance your understanding, and then making your work accessible and intelligible to a wider audience using all the explanatory tools that Notebook offers. If you've used DeepResearch in the Gemini app, you already know that it's a pioneering advance in assembling complex, grounded information on any topic imaginable—collecting an entire trove of material for you and writing a nuanced research report that summarizes the findings. But because NotebookLM is designed to manage and explore potentially hundreds of sources, the Deep Research report is only the beginning of your journey. In our integration, Deep Research gives you an overview all of the sources it found during its research phase, with annotated commentary explaining how each source related to your original query. You can then choose to import some or all of the sources to the notebook, along with the report itself, which you can then explore or transform using the full suite of tools that Notebook offers: grounded chat with citations, Mind Maps, Audio/Video overviews, and much more. And it's that suite of tools that make the Google Research Featured Notebooks so compelling as well. Each notebook contains a curated collection of articles on a specific topic, published by the Google Research team. Think of them as a kind of knowledge base of Google's best thinking on a series of compelling research questions: How do scientists link genetics to health? How will quantum computing be useful? If you're a specialist in these fields, you can read the original papers or ask nuanced questions in chat and advance your understanding of the latest developments. But these notebooks can also make the complex but important topics understandable to non-specialists or students. Each notebook comes with pre-generated audio and video overviews, flashcards, and other Studio artifacts designed to make the scientific and technological concepts accessible and interesting. And you can always explore the material with our new "Learning Guide" chat mode that effectively gives you a personal tutor to enhance your understanding. There's much more to come on this front, but you can see in these two announcements how we see Notebook as both a workbench for conducting research and a publishing platform for sharing the results of that research once you're ready to make it public. Deep Research is rolling out this week to all users. The first two Google Research notebooks are live now, both of them deep dives into our most recent discoveries involving genetics and health. (Links in the following tweets.) We'll be publishing new notebooks in the series every other week or so for the next few months.

Two big steps towards our vision for @NotebookLM as the ultimate research platform: • Integrating Deep Research, with a set of only-at-Notebook features that let you explore the retrieved sources • Launching a series of Featured Notebooks curated by Google Research These developments are designed to enhance the full life cycle of research and scholarship: using the power of AI to assemble the knowledge base you need to advance your understanding, and then making your work accessible and intelligible to a wider audience using all the explanatory tools that Notebook offers. If you've used DeepResearch in the Gemini app, you already know that it's a pioneering advance in assembling complex, grounded information on any topic imaginable—collecting an entire trove of material for you and writing a nuanced research report that summarizes the findings. But because NotebookLM is designed to manage and explore potentially hundreds of sources, the Deep Research report is only the beginning of your journey. In our integration, Deep Research gives you an overview all of the sources it found during its research phase, with annotated commentary explaining how each source related to your original query. You can then choose to import some or all of the sources to the notebook, along with the report itself, which you can then explore or transform using the full suite of tools that Notebook offers: grounded chat with citations, Mind Maps, Audio/Video overviews, and much more. And it's that suite of tools that make the Google Research Featured Notebooks so compelling as well. Each notebook contains a curated collection of articles on a specific topic, published by the Google Research team. Think of them as a kind of knowledge base of Google's best thinking on a series of compelling research questions: How do scientists link genetics to health? How will quantum computing be useful? If you're a specialist in these fields, you can read the original papers or ask nuanced questions in chat and advance your understanding of the latest developments. But these notebooks can also make the complex but important topics understandable to non-specialists or students. Each notebook comes with pre-generated audio and video overviews, flashcards, and other Studio artifacts designed to make the scientific and technological concepts accessible and interesting. And you can always explore the material with our new "Learning Guide" chat mode that effectively gives you a personal tutor to enhance your understanding. There's much more to come on this front, but you can see in these two announcements how we see Notebook as both a workbench for conducting research and a publishing platform for sharing the results of that research once you're ready to make it public. Deep Research is rolling out this week to all users. The first two Google Research notebooks are live now, both of them deep dives into our most recent discoveries involving genetics and health. (Links in the following tweets.) We'll be publishing new notebooks in the series every other week or so for the next few months.

Steven Johnson

104,833 次观看 • 8 个月前

PhD Students - How to create a scientific figure in seconds? Follow these 3 simple steps. 1. Go to 2. From the left menu, select figure generation 3. Enter the requirements of your diagram. - Noah AI will create a perfect figure for you. - For creating figure, NOAH first searched the literature - Then properly generated the figure. - So, it’s grounded in research, not just drawing. - You can download it as PNG. The figures NOAH AI creates are not ordinary figures. - It offers unique features - Re-create figures based on upload image/data - Matches the journal/visual style - Keep consistency across diagrams - Searches PubMed and related sources for figures - Aligns visuals with users’ needs Try it today for FREE: Every user gets a free quota to generate figures.

PhD Students - How to create a scientific figure in seconds? Follow these 3 simple steps. 1. Go to 2. From the left menu, select figure generation 3. Enter the requirements of your diagram. - Noah AI will create a perfect figure for you. - For creating figure, NOAH first searched the literature - Then properly generated the figure. - So, it’s grounded in research, not just drawing. - You can download it as PNG. The figures NOAH AI creates are not ordinary figures. - It offers unique features - Re-create figures based on upload image/data - Matches the journal/visual style - Keep consistency across diagrams - Searches PubMed and related sources for figures - Aligns visuals with users’ needs Try it today for FREE: Every user gets a free quota to generate figures.

Faheem Ullah

62,878 次观看 • 3 个月前

Since the demo has been out for a while, we can reveal a few hidden features: - You can use boxes as shields - The fire extinguisher can be used as a jetpack, and it explodes when you shoot it - Spraying the cleaner or fire extinguisher in an opponent’s face causes them to choke - Some enemy types just hate each other - Energy cells explode when you shoot them - You can create traps by shooting at gas pipes - When the Mothmanauts heal themselves with light, they are vulnerable - Fans sometimes hide secret stuff or routes - You can use the wrench to repair broken stuff - The "Suzie" smallgun is weak, but has ricoc heting bullets - You can use objects to kill light sources - You can use enemies as shields too - With the cleaner’s secondary fire, you can create puddles that can conduct electricity - Flare gun can set enemies on fire ...and more! Any feature or tactic that you found especially useful? #screenshotsaturday #retrospace

Since the demo has been out for a while, we can reveal a few hidden features: - You can use boxes as shields - The fire extinguisher can be used as a jetpack, and it explodes when you shoot it - Spraying the cleaner or fire extinguisher in an opponent’s face causes them to choke - Some enemy types just hate each other - Energy cells explode when you shoot them - You can create traps by shooting at gas pipes - When the Mothmanauts heal themselves with light, they are vulnerable - Fans sometimes hide secret stuff or routes - You can use the wrench to repair broken stuff - The "Suzie" smallgun is weak, but has ricoc heting bullets - You can use objects to kill light sources - You can use enemies as shields too - With the cleaner’s secondary fire, you can create puddles that can conduct electricity - Flare gun can set enemies on fire ...and more! Any feature or tactic that you found especially useful? #screenshotsaturday #retrospace

RetroSpace // immersive discopunk space horror

25,324 次观看 • 1 个月前

Newest features on Clawdbot VM in Intelligence Cubed ( Introducing Brave + Clawdbot VM Terminal)! 🚀🚀🚀 We’ll go from connecting your wallet and logging in with Gmail, to creating a deployment with: 1⃣OpenAI as the model provider (paste your OpenAI API key) 2⃣A Telegram bot token (create a bot using BotFather) 3⃣Your Telegram user ID (get it quickly using “Get My ID” bot) 4⃣A Brave API key (so Clawdbot can search the internet) After the deployment finishes spinning up, I’ll show you how to test it in the Open Web UI and through Telegram, and how to use the terminal with: openclaw tui so you can chat directly, check which model is running, and see token usage. If you want a simple setup that lets you chat on the web, in Telegram, and in the terminal, this is a super clean workflow. #AI #TelegramBot #OpenAI #WebUI #DePIN #Clawdbot #IntelligenceCubed

Newest features on Clawdbot VM in Intelligence Cubed ( Introducing Brave + Clawdbot VM Terminal)! 🚀🚀🚀 We’ll go from connecting your wallet and logging in with Gmail, to creating a deployment with: 1⃣OpenAI as the model provider (paste your OpenAI API key) 2⃣A Telegram bot token (create a bot using BotFather) 3⃣Your Telegram user ID (get it quickly using “Get My ID” bot) 4⃣A Brave API key (so Clawdbot can search the internet) After the deployment finishes spinning up, I’ll show you how to test it in the Open Web UI and through Telegram, and how to use the terminal with: openclaw tui so you can chat directly, check which model is running, and see token usage. If you want a simple setup that lets you chat on the web, in Telegram, and in the terminal, this is a super clean workflow. #AI #TelegramBot #OpenAI #WebUI #DePIN #Clawdbot #IntelligenceCubed

Intelligence Cubed i³

31,191 次观看 • 5 个月前

New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:

New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:

Andrew Ng

218,284 次观看 • 2 年前

Creating the outfits of your dreams is about to get even easier! ♡ Dress Up View: Tired of asking your friends if your hair looks ok in the back!? Freely control your view while in Dress Up Mode, helping you zoom into small details while coloring/toggling, seeing how your hair looks from behind, and perfecting accessories like back bows and backpacks! ♡ New Multiselect Color Button: Use this special setting while in Coloring Mode to select and change multiple colors at the same time, (works for furniture too!) and a new "Reset Colors" button for accessories when you need a fresh start! ♡ New "Expand" button for Designs! See more patterns at once and scroll through them easier to find the perfect textures for your outfits, located in 99 Colors & Designs Palette! P.S.... ❤️RED BUTTON!!❤️ ♡ Toggles Interface Cutesy Glow-Up! Includes a Back and Next button on the "Cycle Through Variations" feature to make designing an item exactly how you want it easier! These helpful new features will be released in the upcoming update to Royale High! ✨

Creating the outfits of your dreams is about to get even easier! ♡ Dress Up View: Tired of asking your friends if your hair looks ok in the back!? Freely control your view while in Dress Up Mode, helping you zoom into small details while coloring/toggling, seeing how your hair looks from behind, and perfecting accessories like back bows and backpacks! ♡ New Multiselect Color Button: Use this special setting while in Coloring Mode to select and change multiple colors at the same time, (works for furniture too!) and a new "Reset Colors" button for accessories when you need a fresh start! ♡ New "Expand" button for Designs! See more patterns at once and scroll through them easier to find the perfect textures for your outfits, located in 99 Colors & Designs Palette! P.S.... ❤️RED BUTTON!!❤️ ♡ Toggles Interface Cutesy Glow-Up! Includes a Back and Next button on the "Cycle Through Variations" feature to make designing an item exactly how you want it easier! These helpful new features will be released in the upcoming update to Royale High! ✨

Royale High ✨

452,974 次观看 • 2 年前

We’re launching a brand new, full-stack vibe coding experience in Google AI Studio, made possible by integrations with the Google Antigravity coding agent and Firebase backends. This unlocks: — Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio — Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you — A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere — Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with Google Maps 🕹️

Google AI

4,746,657 次观看 • 4 个月前

introducing GEN: the AI agent platform built to dominate the attention economy. what makes GEN different? here’s a glimpse: 🪽 proprietary insights: GEN LSM (large social model) keeps you ahead of the curve by identifying social media trends as they happen. this isn't for learning physics—it’s about knowing what’s happening right now, what it looks like, and what it sounds like. 🪽 custom training: with GEN, you can deploy AI agents trained on real-time, highly specific data sources. say goodbye to generic chatgpt outputs—GEN keeps you relevant. 🪽next-level video creation: GEN automates short-form video production from concept to completion, creating multi-shot sequences designed to go viral. GEN is built to create AI agents that command attention because attention drives revenue. there's much more, we're doing shit that no one else is doing. more later. the BETA launches in 2 weeks. sign up now at limitless

introducing GEN: the AI agent platform built to dominate the attention economy. what makes GEN different? here’s a glimpse: 🪽 proprietary insights: GEN LSM (large social model) keeps you ahead of the curve by identifying social media trends as they happen. this isn't for learning physics—it’s about knowing what’s happening right now, what it looks like, and what it sounds like. 🪽 custom training: with GEN, you can deploy AI agents trained on real-time, highly specific data sources. say goodbye to generic chatgpt outputs—GEN keeps you relevant. 🪽next-level video creation: GEN automates short-form video production from concept to completion, creating multi-shot sequences designed to go viral. GEN is built to create AI agents that command attention because attention drives revenue. there's much more, we're doing shit that no one else is doing. more later. the BETA launches in 2 weeks. sign up now at limitless

NEO

56,765 次观看 • 1 年前

🚀 Exciting News! We're thrilled to announce the launch of Qwen Chat ( ) – your new go-to Web UI for interacting with Qwen models! 🌟 💬 Chat effortlessly with our flagship model Qwen2.5-Plus , explore vision-language capabilities with Qwen2-VL-Max , and dive into reasoning models like QwQ and QVQ, code with coding expert Qwen2.5-Coder-32B-Instruct, etc. ✨ Key Features: * Choose & compare multiple models in one interface * Upload documents & get answers based on them * Preview mode with HTML support * Upload images for visual understanding 🌟 Coming Soon: Web search, image generation, voice mode, and more! 🔗 Ready to experience the future? Start to chat with Qwen today 💬 Feel free to send us your feedback and suggestions!

🚀 Exciting News! We're thrilled to announce the launch of Qwen Chat ( ) – your new go-to Web UI for interacting with Qwen models! 🌟 💬 Chat effortlessly with our flagship model Qwen2.5-Plus , explore vision-language capabilities with Qwen2-VL-Max , and dive into reasoning models like QwQ and QVQ, code with coding expert Qwen2.5-Coder-32B-Instruct, etc. ✨ Key Features: * Choose & compare multiple models in one interface * Upload documents & get answers based on them * Preview mode with HTML support * Upload images for visual understanding 🌟 Coming Soon: Web search, image generation, voice mode, and more! 🔗 Ready to experience the future? Start to chat with Qwen today 💬 Feel free to send us your feedback and suggestions!

Qwen

215,137 次观看 • 1 年前