Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

🎯ComfyUI-Copilot (AIGC Assistant) is open-sourced by Alibaba International! 🎉 🍀Boosts ComfyUI workflow design and optimization with LLM-Agent ✨Supports AIGC and explores Multimodal Agents 🚀More features (dynamic parameter optimization, auto workflow generation) coming soon! AI at Alibaba International Alibaba Group

Longyue Wang

1,734 subscribers

15,184 Aufrufe • vor 1 Jahr •via X (Twitter)

Bildung Wissenschaft & Technologie Nachrichten & Politik

Anya Rossi• Live Now

Private livecam show

3 Kommentare

Profilbild von Yang

Yangvor 1 Jahr

Build powerful AI agents and automations for your business today. Check out our step-by-step video tutorials 100% FREE 🥳

Profilbild von Bing

Bingvor 1 Jahr

👍

Profilbild von Kechen Li@LinChance

Kechen Li@LinChancevor 1 Jahr

good job

Ähnliche Videos

The leading EV company, Li Auto, delivers a smart driving and riding experience powered by the strong technical foundation of Data + AI. Feifei Li, SVP and President of International Business at Alibaba Cloud Intelligence Group, talks about how Li Auto leverages Alibaba Cloud’s advanced infrastructure to transform multimodal vehicle data into intelligent decisions, elevating every ride 🚗

The leading EV company, Li Auto, delivers a smart driving and riding experience powered by the strong technical foundation of Data + AI. Feifei Li, SVP and President of International Business at Alibaba Cloud Intelligence Group, talks about how Li Auto leverages Alibaba Cloud’s advanced infrastructure to transform multimodal vehicle data into intelligent decisions, elevating every ride 🚗

Alibaba Group

217,245 Aufrufe • vor 6 Monaten

MiniMax is building with next-gen AGI, offering foundation AI models and revolutionizing content creation with AI-powered video, music, chat products. With Alibaba's one-stop multimodal data platform, MiniMax can save the complexity of handling multimodal data work with the AI-ready data foundation, and boost streamlined innovation on it. Feifei Li, SVP and President of International Business at Alibaba Cloud Intelligence Group, shares how the right tech stack can elevate AI from potential to powerful. 🚀

MiniMax is building with next-gen AGI, offering foundation AI models and revolutionizing content creation with AI-powered video, music, chat products. With Alibaba's one-stop multimodal data platform, MiniMax can save the complexity of handling multimodal data work with the AI-ready data foundation, and boost streamlined innovation on it. Feifei Li, SVP and President of International Business at Alibaba Cloud Intelligence Group, shares how the right tech stack can elevate AI from potential to powerful. 🚀

Alibaba Group

305,831 Aufrufe • vor 7 Monaten

💡Instead of moving data to AI, why not bring AI to your data? Feifei Li, SVP and President of International Business at Alibaba Cloud Intelligence Group, explains how embedding LLMs into databases, and processing and managing multimodal data with platforms, is transforming how enterprises build intelligent apps. It’s a smarter, faster, and more scalable way to unlock real-time insights.

💡Instead of moving data to AI, why not bring AI to your data? Feifei Li, SVP and President of International Business at Alibaba Cloud Intelligence Group, explains how embedding LLMs into databases, and processing and managing multimodal data with platforms, is transforming how enterprises build intelligent apps. It’s a smarter, faster, and more scalable way to unlock real-time insights.

Alibaba Group

84,669 Aufrufe • vor 7 Monaten

Introducing ComfyUI in Unity demo - Supercharges your game development with open-source gen AI. Run any creative workflow in the cloud, and integrative nicely to your Unity scene view port. Imaging what you can already do with ComfyUI - texture, sprite generation - 3d generation - llm, story generation You can now scale, and build tools around these creative workflows. And integrate it into any domain-specific pipeline. Inspired by Magnific.ai ! Running serverless with Modal p.s. I'm still in GDC, if anyone is interested please reach out. Will be testing with more workflows this week.

Introducing ComfyUI in Unity demo - Supercharges your game development with open-source gen AI. Run any creative workflow in the cloud, and integrative nicely to your Unity scene view port. Imaging what you can already do with ComfyUI - texture, sprite generation - 3d generation - llm, story generation You can now scale, and build tools around these creative workflows. And integrate it into any domain-specific pipeline. Inspired by Magnific.ai ! Running serverless with Modal p.s. I'm still in GDC, if anyone is interested please reach out. Will be testing with more workflows this week.

BennyKok

57,899 Aufrufe • vor 2 Jahren

CHINA JUST DROPPED THE BIGGEST THREAT TO EVERY SaaS APP. Alibaba just open-sourced PageAgent. And almost nobody is talking about it. Imagine opening a web app and typing: > "Log in, generate my report, export it to PDF, and email it." It just... does it. No browser extension. No screenshots. No backend rewrite. No custom AI workflow. Just ONE line of JavaScript. ``html `` That's the entire integration. Your website instantly gets an AI agent that can: • Control your UI with natural language • Fill forms automatically • Navigate across pages • Execute multi-step workflows • Support voice commands • Connect to MCP servers • Use any LLM (Qwen, GPT, Claude, etc.) This changes everything. Every SaaS can become an AI copilot. Every enterprise dashboard becomes conversational. And every founder spending months building AI interfaces just got leapfrogged. The era of clicking through menus is ending. The era of talking to software has started.

CHINA JUST DROPPED THE BIGGEST THREAT TO EVERY SaaS APP. Alibaba just open-sourced PageAgent. And almost nobody is talking about it. Imagine opening a web app and typing: > "Log in, generate my report, export it to PDF, and email it." It just... does it. No browser extension. No screenshots. No backend rewrite. No custom AI workflow. Just ONE line of JavaScript. ``html `` That's the entire integration. Your website instantly gets an AI agent that can: • Control your UI with natural language • Fill forms automatically • Navigate across pages • Execute multi-step workflows • Support voice commands • Connect to MCP servers • Use any LLM (Qwen, GPT, Claude, etc.) This changes everything. Every SaaS can become an AI copilot. Every enterprise dashboard becomes conversational. And every founder spending months building AI interfaces just got leapfrogged. The era of clicking through menus is ending. The era of talking to software has started.

Leonard Rodman

20,412 Aufrufe • vor 13 Tagen

🚨 Open-source AI just got serious. Alibaba just released Qwen 3.5-Plus 🤯 397B parameters. Only 17B active per inference. Performance comparable to Gemini 3 Pro — at just $0.8 per million tokens (1/18 the cost). But here’s what makes it different 👇 This isn’t just another benchmark drop. In the demo, Qwen runs directly inside the terminal: ➙ Reviews GitHub PRs ➙ Fetches diffs automatically ➙ Runs CLI & smoke tests ➙ Generates integration tests ➙ Executes /context ➙ Shows real-time token usage breakdown That’s not a chatbot. That’s a real developer workflow. Under the hood: ⚡ 60% lower deployment memory ⚡ Inference throughput increased by 8.6× (32K context) ⚡ Inference throughput increased by up to 19× (256K ultra-long context) ⚡ Native multimodal model ⚡ Supports direct video input (up to 2 hours) And the ecosystem is massive: ✔ 201 languages ✔ 250K vocabulary ✔ 400+ open-sourced models ✔ 1B+ downloads ✔ 200K+ derivative models Available now via Qwen App, MoDa Community, Hugging Face, and Alibaba Cloud Bailian. ✅ The AI race isn’t about who’s biggest anymore. → It’s about who’s usable. 🔥 Watch the demo 👇 #Qwen #OpenSourceAI #AI #DevTools

🚨 Open-source AI just got serious. Alibaba just released Qwen 3.5-Plus 🤯 397B parameters. Only 17B active per inference. Performance comparable to Gemini 3 Pro — at just $0.8 per million tokens (1/18 the cost). But here’s what makes it different 👇 This isn’t just another benchmark drop. In the demo, Qwen runs directly inside the terminal: ➙ Reviews GitHub PRs ➙ Fetches diffs automatically ➙ Runs CLI & smoke tests ➙ Generates integration tests ➙ Executes /context ➙ Shows real-time token usage breakdown That’s not a chatbot. That’s a real developer workflow. Under the hood: ⚡ 60% lower deployment memory ⚡ Inference throughput increased by 8.6× (32K context) ⚡ Inference throughput increased by up to 19× (256K ultra-long context) ⚡ Native multimodal model ⚡ Supports direct video input (up to 2 hours) And the ecosystem is massive: ✔ 201 languages ✔ 250K vocabulary ✔ 400+ open-sourced models ✔ 1B+ downloads ✔ 200K+ derivative models Available now via Qwen App, MoDa Community, Hugging Face, and Alibaba Cloud Bailian. ✅ The AI race isn’t about who’s biggest anymore. → It’s about who’s usable. 🔥 Watch the demo 👇 #Qwen #OpenSourceAI #AI #DevTools

Toha Khan

123,375 Aufrufe • vor 4 Monaten

🚀 Introducing HunyuanVideo-Avatar, a model jointly developed by Tencent Hunyuan and Tencent Music, bringing photos to life. ✅ Upload a photo + audio — auto-detect scene context & emotion, then generate lifelike speech/singing with dynamic visuals. ✅ Supports multi-style, multi-species scenarios and excels in multi-character interactions. ✅ Built for short video creation, e-commerce, advertising, and more — already deployed in multiple apps across Tencent Music Entertainment Group. The single-character mode of HunyuanVideo-Avatar is now open-sourced and live on the Hunyuan website, supporting audio up to 14 seconds for video generation. The multi-character mode will be open-sourced soon. Try it on: Project Page: Github: Tech report: #Tencent #Hunyuan

Tencent Hy

218,408 Aufrufe • vor 1 Jahr

Alibaba just dropped a BOMBSHELL on the AI world. Their new Qwen 3 model is FREE and crushing the competition. 🚀 Qwen 3 vs others: ✅ Outperforms GPT-4o by 3.2% on benchmarks ✅ Beats DeepSeek-Coder by 1.8% on coding tasks ✅ 5.4% better at math than GPT-4o ✅ Free API access (unlike competitors) ✅ Video generation built-in (ChatGPT can't do this) I've personally tested all three sizes. The results will shock you. Save this video tutorial - it contains everything you need to integrate this powerhouse into your workflow. 💼 Want the SOP? DM me.

Alibaba just dropped a BOMBSHELL on the AI world. Their new Qwen 3 model is FREE and crushing the competition. 🚀 Qwen 3 vs others: ✅ Outperforms GPT-4o by 3.2% on benchmarks ✅ Beats DeepSeek-Coder by 1.8% on coding tasks ✅ 5.4% better at math than GPT-4o ✅ Free API access (unlike competitors) ✅ Video generation built-in (ChatGPT can't do this) I've personally tested all three sizes. The results will shock you. Save this video tutorial - it contains everything you need to integrate this powerhouse into your workflow. 💼 Want the SOP? DM me.

Julian Goldie SEO

10,977 Aufrufe • vor 1 Jahr

📈 Meet Your New AI-Powered Prediction Market Agent - PrediMarket Agent! Introducing our all-in-one Prediction Market Agent—designed to make trading smarter, faster, and more profitable for EVERYONE: ✅ Smart Market Recommendations: AI auto-suggests trending markets based on real-time trends + your preferences. Skip the filtering, grab opportunities instantly. ✅ 360° Market Analysis: Dives deep into 3 core pillars—context, win rate, and profit optimization (because high win rates ≠ high gains!). AI balances risk/reward for smarter strategies. ✅ One-Click Smart Trading: Connect your API Key, and let the Agent handle orders automatically. Fewer steps, faster executions. ✅ Dual Interaction Modes: Trade via natural language prompts OR clickable cards—fits your workflow, whatever it is. No more guesswork. No more tedious steps. Just data-driven decisions and bigger wins. Ready to level up your prediction market game? Coming soon!🚀 #ChainOperaAI #AIPrediction #SmartTrading #MarketAnalysis #Web3Tools #Polymarket

📈 Meet Your New AI-Powered Prediction Market Agent - PrediMarket Agent! Introducing our all-in-one Prediction Market Agent—designed to make trading smarter, faster, and more profitable for EVERYONE: ✅ Smart Market Recommendations: AI auto-suggests trending markets based on real-time trends + your preferences. Skip the filtering, grab opportunities instantly. ✅ 360° Market Analysis: Dives deep into 3 core pillars—context, win rate, and profit optimization (because high win rates ≠ high gains!). AI balances risk/reward for smarter strategies. ✅ One-Click Smart Trading: Connect your API Key, and let the Agent handle orders automatically. Fewer steps, faster executions. ✅ Dual Interaction Modes: Trade via natural language prompts OR clickable cards—fits your workflow, whatever it is. No more guesswork. No more tedious steps. Just data-driven decisions and bigger wins. Ready to level up your prediction market game? Coming soon!🚀 #ChainOperaAI #AIPrediction #SmartTrading #MarketAnalysis #Web3Tools #Polymarket

ChainOpera AI

25,362 Aufrufe • vor 7 Monaten

Ilario Corna, CTO of the International Olympic Committee (IOC), shares insights on how the partnership with Alibaba is central to the intelligence layer being developed for Milano Cortina 2026. By building on Alibaba’s open-source Qwen model, the IOC gains a powerful and flexible foundation model tailored to the needs of National Olympic Committees (NOCs), Organizing Committees (OCOGs), and IOC teams. Together, we are building on the AI foundations introduced at Paris 2024, integrating them into a unified “Olympic AI” ecosystem. The Olympic Games Milano Cortina 2026

Ilario Corna, CTO of the International Olympic Committee (IOC), shares insights on how the partnership with Alibaba is central to the intelligence layer being developed for Milano Cortina 2026. By building on Alibaba’s open-source Qwen model, the IOC gains a powerful and flexible foundation model tailored to the needs of National Olympic Committees (NOCs), Organizing Committees (OCOGs), and IOC teams. Together, we are building on the AI foundations introduced at Paris 2024, integrating them into a unified “Olympic AI” ecosystem. The Olympic Games Milano Cortina 2026

Alibaba Group

741,654 Aufrufe • vor 4 Monaten

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,343 Aufrufe • vor 1 Jahr

🚀 Introducing HunyuanCustom: An open-source, multimodal-driven architecture for customized video generation, powered by HunyuanVideo-13B. Outperforming existing open-source models, it rivals top closed-source solutions! 🎥 Highlights: ✅Subject Consistency: Maintains identity across single & multi-subject video generation. ✅Multimodal Inputs: Supports text, images, audio, and video for highly controlled outputs. ✅High-Quality Output: Industry-leading detail, motion smoothness, and lighting realism. Key Features: 1️⃣Single-Subject Video: Upload an image + text (e.g., “He’s walking a dog”) to create coherent videos with new actions, outfits, and scenes. 2️⃣Multi-Subject Video: Generate videos with multiple subjects (e.g., a man drinking coffee in a cozy room) from separate image inputs. 3️⃣Audio-Driven Video: Sync audio with visuals for talking or singing in any scene—perfect for digital avatars, virtual customer service, and more. 4️⃣Video-Driven Video: Seamlessly insert or replace subjects into any video for creative enhancements. Dive Deeper: 🌐Project: 📝Technical Details: 💻Code: The single-subject video capability is open-sourced and live on the Hunyuan website, with more features to be released soon! 👉 Try it now: #HunyuanCustom #VideoGeneration #AI #TencentHunyuan

🚀 Introducing HunyuanCustom: An open-source, multimodal-driven architecture for customized video generation, powered by HunyuanVideo-13B. Outperforming existing open-source models, it rivals top closed-source solutions! 🎥 Highlights: ✅Subject Consistency: Maintains identity across single & multi-subject video generation. ✅Multimodal Inputs: Supports text, images, audio, and video for highly controlled outputs. ✅High-Quality Output: Industry-leading detail, motion smoothness, and lighting realism. Key Features: 1️⃣Single-Subject Video: Upload an image + text (e.g., “He’s walking a dog”) to create coherent videos with new actions, outfits, and scenes. 2️⃣Multi-Subject Video: Generate videos with multiple subjects (e.g., a man drinking coffee in a cozy room) from separate image inputs. 3️⃣Audio-Driven Video: Sync audio with visuals for talking or singing in any scene—perfect for digital avatars, virtual customer service, and more. 4️⃣Video-Driven Video: Seamlessly insert or replace subjects into any video for creative enhancements. Dive Deeper: 🌐Project: 📝Technical Details: 💻Code: The single-subject video capability is open-sourced and live on the Hunyuan website, with more features to be released soon! 👉 Try it now: #HunyuanCustom #VideoGeneration #AI #TencentHunyuan

Tencent HY

191,908 Aufrufe • vor 1 Jahr

🚀 The 4th #PazhouAlgorithmCompetition is live in #Guangzhou 🔥Featuring 5 major tracks: 🤖"Air-Ground" Integrated Collaboration AI 🧠Large-scale AI Model Algorithm Optimization 💡AI Innovation Application 🏅"National Games" ("AI for All"), and 🌐an International AI Competition It’s China’s top AI stage — now open to the world. 🌏✨ 🎓 Global talents, register now from now to June 30. 🚀Join the innovation at the heart of the #DigitalEconomy and #AI revolution. More info: 📽️: YC New Media Andrew Ng Yann LeCun Geoffrey Hinton Lex Fridman Fei-Fei Li Kai-Fu Lee DeepNode James V DeepSeek BAAI S.L. Kanthan #AI #ArtificialIntelligenceCommunity #Robotics #MachineLearning #SmartTech #Innovation #TechForGood #GlobalAI #AIChallenge

🚀 The 4th #PazhouAlgorithmCompetition is live in #Guangzhou 🔥Featuring 5 major tracks: 🤖"Air-Ground" Integrated Collaboration AI 🧠Large-scale AI Model Algorithm Optimization 💡AI Innovation Application 🏅"National Games" ("AI for All"), and 🌐an International AI Competition It’s China’s top AI stage — now open to the world. 🌏✨ 🎓 Global talents, register now from now to June 30. 🚀Join the innovation at the heart of the #DigitalEconomy and #AI revolution. More info: 📽️: YC New Media Andrew Ng Yann LeCun Geoffrey Hinton Lex Fridman Fei-Fei Li Kai-Fu Lee DeepNode James V DeepSeek BAAI S.L. Kanthan #AI #ArtificialIntelligenceCommunity #Robotics #MachineLearning #SmartTech #Innovation #TechForGood #GlobalAI #AIChallenge

Atlas

23,332 Aufrufe • vor 1 Jahr

How to Make AI Models More Useful? Discover the potential of AI and blockchain, and how features like RAG and TEEs can help NEAR unlock its full potential to build the world's best truly open AI. TL;DR - RAG (Retrieval-Augmented Generation) enhances AI agents by personalizing responses with relevant context. - Blockchain ensures transactions are processed transparently, efficiently, and securely. - NEAR Protocol is designed for AI, featuring a sharding architecture that supports high transaction volumes at low fees without compromising performance. It also offers privacy, user-owned data, and monetization opportunities. Study the NEAR stack, explore how to make AI models useful:

How to Make AI Models More Useful? Discover the potential of AI and blockchain, and how features like RAG and TEEs can help NEAR unlock its full potential to build the world's best truly open AI. TL;DR - RAG (Retrieval-Augmented Generation) enhances AI agents by personalizing responses with relevant context. - Blockchain ensures transactions are processed transparently, efficiently, and securely. - NEAR Protocol is designed for AI, featuring a sharding architecture that supports high transaction volumes at low fees without compromising performance. It also offers privacy, user-owned data, and monetization opportunities. Study the NEAR stack, explore how to make AI models useful:

NEARWEEK

23,509 Aufrufe • vor 1 Jahr

Enterprise developers, first look: Enterprises want AI, but can’t ship it. Why? Compliance risk, legacy systems, red tape. 🎯 Enter Iridius AI — a “Solution Factory” that lets devs + execs co-create full AI apps (not just agents) that are: ✅ Compliant by design ✅ Modular + scalable ✅ Multimodal (text, sketch, convo) ✅ Audit-ready with transparency cards ✅ Plug-in-anywhere (GPT-4o, Gemini, Claude, internal LLMs) 👀 Think Palantir for the AI-native era — but multi-agent, open, and fast. Built by ex-Microsoft, OpenAI forum leads, and startup vets. 💥 Demo: They built a claims automation app live—docs → agents → connectors → BPMN → code → compliance checks → deploy. This is the last mile for enterprise AI. Learn more at

Enterprise developers, first look: Enterprises want AI, but can’t ship it. Why? Compliance risk, legacy systems, red tape. 🎯 Enter Iridius AI — a “Solution Factory” that lets devs + execs co-create full AI apps (not just agents) that are: ✅ Compliant by design ✅ Modular + scalable ✅ Multimodal (text, sketch, convo) ✅ Audit-ready with transparency cards ✅ Plug-in-anywhere (GPT-4o, Gemini, Claude, internal LLMs) 👀 Think Palantir for the AI-native era — but multi-agent, open, and fast. Built by ex-Microsoft, OpenAI forum leads, and startup vets. 💥 Demo: They built a claims automation app live—docs → agents → connectors → BPMN → code → compliance checks → deploy. This is the last mile for enterprise AI. Learn more at

Robert Scoble

60,275 Aufrufe • vor 11 Monaten

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

Nav Toor

392,530 Aufrufe • vor 3 Monaten

World Simulator, reimagined — now alive with humans, robots, and their vibrant society unfolding in 3D real-world geospatial scenes across the globe! 🚀 One day soon, humans and robots will co-exist in the same world. To prepare, we must address: 1️⃣ How can robots cooperate or compete intelligently? 2️⃣ How do humans build social bonds and communities? 3️⃣ How can both co-exist in an open, dynamic world? Announcing Virtual Community Project — a social-physical world simulator, where human characters and robotic agents can interact, grow, and co-evolve within open-world societies, stretching from London to New York, and beyond! Key features include: ✅ Unified multi-agent physics simulations for rich social + physical interactions of humans and robots ✅ Massive auto-generated 3D scenes grounded with the rea-world geospatial data ✅ Agent communities populated by robots and LLM-driven human characters with rich appearances, personalities, and social ties. 🌍 Enter our Virtual Community, an open world to study embodied AI at scale— one social-physical world model at a time! 🔗 Project: 💻 Code: Paper: 1/n

World Simulator, reimagined — now alive with humans, robots, and their vibrant society unfolding in 3D real-world geospatial scenes across the globe! 🚀 One day soon, humans and robots will co-exist in the same world. To prepare, we must address: 1️⃣ How can robots cooperate or compete intelligently? 2️⃣ How do humans build social bonds and communities? 3️⃣ How can both co-exist in an open, dynamic world? Announcing Virtual Community Project — a social-physical world simulator, where human characters and robotic agents can interact, grow, and co-evolve within open-world societies, stretching from London to New York, and beyond! Key features include: ✅ Unified multi-agent physics simulations for rich social + physical interactions of humans and robots ✅ Massive auto-generated 3D scenes grounded with the rea-world geospatial data ✅ Agent communities populated by robots and LLM-driven human characters with rich appearances, personalities, and social ties. 🌍 Enter our Virtual Community, an open world to study embodied AI at scale— one social-physical world model at a time! 🔗 Project: 💻 Code: Paper: 1/n

Chuang Gan

90,229 Aufrufe • vor 1 Jahr

Introducing SuperDesign.Dev The first open-source Design Agent that lives inside Cursor, Windsurf, or any IDE: 👉 Instantly spin up 10 different design in parallel 👉 Explore, fork, and iterate 10x faster 👉 Create new or iterate on your existing UI — all fully local JackJack and I shipped this as a quick weekend experiment to validate a hunch: design is the killer use case for parallel agents. Currently at V0.005 — a simple customization of the Claude Code SDK + static HTML generation. (We might be the first product powered by the Anthropic Claude Code SDK!) More coming soon: web app, mobile app, SVG generation, and more. GitHub: Try it out: ----- Upvote on Hacker News ❤️:

Introducing SuperDesign.Dev The first open-source Design Agent that lives inside Cursor, Windsurf, or any IDE: 👉 Instantly spin up 10 different design in parallel 👉 Explore, fork, and iterate 10x faster 👉 Create new or iterate on your existing UI — all fully local JackJack and I shipped this as a quick weekend experiment to validate a hunch: design is the killer use case for parallel agents. Currently at V0.005 — a simple customization of the Claude Code SDK + static HTML generation. (We might be the first product powered by the Anthropic Claude Code SDK!) More coming soon: web app, mobile app, SVG generation, and more. GitHub: Try it out: ----- Upvote on Hacker News ❤️:

Jason Zhou

49,433 Aufrufe • vor 1 Jahr

Introducing "Building with Llama 4." This short course is created with Meta AI at Meta, and taught by Amit Sangani, Director of Partner Engineering for Meta’s AI team. Meta’s new Llama 4 has added three new models and introduced the Mixture-of-Experts (MoE) architecture to its family of open-weight models, making them more efficient to serve. In this course, you’ll work with two of the three new models introduced in Llama 4. First is Maverick, a 400B parameter model, with 128 experts and 17B active parameters. Second is Scout, a 109B parameter model with 16 experts and 17B active parameters. Maverick and Scout support long context windows of up to a million tokens and 10M tokens, respectively. The latter is enough to support directly inputting even fairly large GitHub repos for analysis! In hands-on lessons, you’ll build apps using Llama 4’s new multimodal capabilities including reasoning across multiple images and image grounding, in which you can identify elements in images. You’ll also use the official Llama API, work with Llama 4’s long-context abilities, and learn about Llama’s newest open-source tools: its prompt optimization tool that automatically improves system prompts and synthetic data kit that generates high-quality datasets for fine-tuning. If you need an open model, Llama is a great option, and the Llama 4 family is an important part of any GenAI developer's toolkit. Through this course, you’ll learn to call Llama 4 via API, use its optimization tools, and build features that span text, images, and large context. Please sign up here:

Introducing "Building with Llama 4." This short course is created with Meta AI at Meta, and taught by Amit Sangani, Director of Partner Engineering for Meta’s AI team. Meta’s new Llama 4 has added three new models and introduced the Mixture-of-Experts (MoE) architecture to its family of open-weight models, making them more efficient to serve. In this course, you’ll work with two of the three new models introduced in Llama 4. First is Maverick, a 400B parameter model, with 128 experts and 17B active parameters. Second is Scout, a 109B parameter model with 16 experts and 17B active parameters. Maverick and Scout support long context windows of up to a million tokens and 10M tokens, respectively. The latter is enough to support directly inputting even fairly large GitHub repos for analysis! In hands-on lessons, you’ll build apps using Llama 4’s new multimodal capabilities including reasoning across multiple images and image grounding, in which you can identify elements in images. You’ll also use the official Llama API, work with Llama 4’s long-context abilities, and learn about Llama’s newest open-source tools: its prompt optimization tool that automatically improves system prompts and synthetic data kit that generates high-quality datasets for fine-tuning. If you need an open model, Llama is a great option, and the Llama 4 family is an important part of any GenAI developer's toolkit. Through this course, you’ll learn to call Llama 4 via API, use its optimization tools, and build features that span text, images, and large context. Please sign up here:

Andrew Ng

67,710 Aufrufe • vor 1 Jahr

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

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

117,388 Aufrufe • vor 15 Tagen