正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

With so many AI models out there, which ones will last? Check out this 17-second clip to see how Grass’s Live Context Retrieval (LCR) engine can give models a unique edge through access to real-time, unbiased web data.

Grass

556,055 subscribers

348,297 次观看 • 1 年前 •via X (Twitter)

新闻政治科学技术教育

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

AI companies are racing to build better models. The ones that actually win will have better access to reality. 700K+ nodes. 150+ countries. Real-time signal from the edge - not a data center. That's the Perceptron advantage. #PerceptronNTWK #NodeAndProud #AI #DecentralizedAI #ATEOV

AI companies are racing to build better models. The ones that actually win will have better access to reality. 700K+ nodes. 150+ countries. Real-time signal from the edge - not a data center. That's the Perceptron advantage. #PerceptronNTWK #NodeAndProud #AI #DecentralizedAI #ATEOV

Perceptron Network

41,014 次观看 • 3 个月前

There are so many models that it can get confusing so today we launched an auto-router - you get the best answers from any of the top models. At the same time, we have AI experts and model enthusiasts who will enjoy access to 10 new models we just added including: ✅ GPT-4.1 ✅ o3 & o4 Mini ✅ Grok 3 ✅ Llama 4 Maverick & Scout We're also sunsetting some older models that just can't keep up anymore.

There are so many models that it can get confusing so today we launched an auto-router - you get the best answers from any of the top models. At the same time, we have AI experts and model enthusiasts who will enjoy access to 10 new models we just added including: ✅ GPT-4.1 ✅ o3 & o4 Mini ✅ Grok 3 ✅ Llama 4 Maverick & Scout We're also sunsetting some older models that just can't keep up anymore.

Richard Socher

24,731 次观看 • 1 年前

A new era for Nodepay has begun. Bandwidth has been powering our real-time data retrieval infrastructure from day one. Now, that foundation has delivered something bigger: The Intelligence Engine — a living network of structured, real-time insights, powered by you. - Your predictions become real-time signals - Your insights become knowledge - Your bandwidth collects data for our AI - $NC becomes the fuel This is AI combined with collective intelligence. Why It Matters: - Users get rewarded for their insights, not just engagement - Projects gain direct access to real-time, validated community sentiment - Everyone saves time, earns more, & makes smarter decisions First access is reserved for $NC holders ⚠️ The next wave of users will be onboarded following the upcoming snapshot 📸 Soon, you’ll all be able to contribute insights, unlock smarter rewards, and tap into real-time sentiment and conviction that gives you the edge. The Intelligence Engine is live — and you’re getting paid to power it.

A new era for Nodepay has begun. Bandwidth has been powering our real-time data retrieval infrastructure from day one. Now, that foundation has delivered something bigger: The Intelligence Engine — a living network of structured, real-time insights, powered by you. - Your predictions become real-time signals - Your insights become knowledge - Your bandwidth collects data for our AI - $NC becomes the fuel This is AI combined with collective intelligence. Why It Matters: - Users get rewarded for their insights, not just engagement - Projects gain direct access to real-time, validated community sentiment - Everyone saves time, earns more, & makes smarter decisions First access is reserved for $NC holders ⚠️ The next wave of users will be onboarded following the upcoming snapshot 📸 Soon, you’ll all be able to contribute insights, unlock smarter rewards, and tap into real-time sentiment and conviction that gives you the edge. The Intelligence Engine is live — and you’re getting paid to power it.

Nodepay

82,917 次观看 • 1 年前

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

Santiago

171,340 次观看 • 1 年前

Hey I just want to put it out there, anyone want to give me another chance? I've improved a lot since many of you last saw me, would love if you could give me another shot and check out my Twitch streams/vods Maybe you'll like what you see and will wanna join us degenerates 💙

Hey I just want to put it out there, anyone want to give me another chance? I've improved a lot since many of you last saw me, would love if you could give me another shot and check out my Twitch streams/vods Maybe you'll like what you see and will wanna join us degenerates 💙

Claudia Moneta 🗡️💙

42,550 次观看 • 1 年前

⚙️ Attention n8n Builders: Time to Upgrade Your Crawlers. If you are running web scraping or data retrieval workflows on n8n, it is time to flip the switch. Stop relying on fragile datacenter proxies that get blocked every five minutes. Try UpRock. As a verified n8n integration, UpRock gives your workflows access to a global network of real devices for: → Live Web Crawling → Deep Research → Semantic Video Search → Real-Time Intelligence Retrieval No more building separate stacks for crawling, research, video understanding, and web intelligence. One node. One workflow. One global swarm. Want a Cheeky Credit Boost? We want to see what you are building. If you transition an active data-gathering workflow over to the UpRock node this week, reach out directly to our dev team. Drop a message or reply below with your use case, and we will hook you up with custom API testing credits to supercharge your swarm infrastructure. Get Started on n8n: Search for Scraper - UpRock Crawler in your n8n Nodes panel or grab the package directly on npm!

⚙️ Attention n8n Builders: Time to Upgrade Your Crawlers. If you are running web scraping or data retrieval workflows on n8n, it is time to flip the switch. Stop relying on fragile datacenter proxies that get blocked every five minutes. Try UpRock. As a verified n8n integration, UpRock gives your workflows access to a global network of real devices for: → Live Web Crawling → Deep Research → Semantic Video Search → Real-Time Intelligence Retrieval No more building separate stacks for crawling, research, video understanding, and web intelligence. One node. One workflow. One global swarm. Want a Cheeky Credit Boost? We want to see what you are building. If you transition an active data-gathering workflow over to the UpRock node this week, reach out directly to our dev team. Drop a message or reply below with your use case, and we will hook you up with custom API testing credits to supercharge your swarm infrastructure. Get Started on n8n: Search for Scraper - UpRock Crawler in your n8n Nodes panel or grab the package directly on npm!

UpRock

91,820 次观看 • 2 个月前

What if a network could deliver AI results closer to where data is created, instead of sending it to far‑off data centers? In collaboration with NVIDIA and Decart, we’re making that a reality by bringing GPU‑powered computing to the network edge — closer to homes and businesses — so AI applications respond in real-time. This is how we're laying the foundation for the next generation of AI‑driven services:

What if a network could deliver AI results closer to where data is created, instead of sending it to far‑off data centers? In collaboration with NVIDIA and Decart, we’re making that a reality by bringing GPU‑powered computing to the network edge — closer to homes and businesses — so AI applications respond in real-time. This is how we're laying the foundation for the next generation of AI‑driven services:

Comcast

15,708 次观看 • 5 个月前

I created this 15-second cinematic product video with GPTProto Official using Seedance 2.0, and I was really impressed by how smooth the workflow was. What stood out to me was being able to access multiple advanced AI models in one place, making it easier to test ideas, compare results, and create without constantly switching between different platforms. A more flexible way to explore AI creativity while simplifying the process of working with multiple AI tools.

I created this 15-second cinematic product video with GPTProto Official using Seedance 2.0, and I was really impressed by how smooth the workflow was. What stood out to me was being able to access multiple advanced AI models in one place, making it easier to test ideas, compare results, and create without constantly switching between different platforms. A more flexible way to explore AI creativity while simplifying the process of working with multiple AI tools.

Alamin

48,506 次观看 • 1 个月前

The Google AI Professional Certificate is live on Coursera and it’s free! So excited to be teaching in this. With Gemini 3.1 Pro, I’ll show you how to vibe code apps + use AI to give you a massive edge at work. And you get 3 free months of Google AI Pro. See you in class! :)

The Google AI Professional Certificate is live on Coursera and it’s free! So excited to be teaching in this. With Gemini 3.1 Pro, I’ll show you how to vibe code apps + use AI to give you a massive edge at work. And you get 3 free months of Google AI Pro. See you in class! :)

Ammaar Reshi

163,008 次观看 • 6 个月前

🌱IT'S TIME TO CLAIM YOUR SPOT!🌱 This week we're allocating HUNDREDS of spots to the people who deserve it most...our community. All allocations will be done via our Discord so check out the announcements in there to see how to win (Link in bio)

🌱IT'S TIME TO CLAIM YOUR SPOT!🌱 This week we're allocating HUNDREDS of spots to the people who deserve it most...our community. All allocations will be done via our Discord so check out the announcements in there to see how to win (Link in bio)

Youmio

25,197 次观看 • 1 年前

Depth Any Video with Scalable Synthetic Data AI physicists and chemists continue to make strides in depth estimation from video. Check out this new paper featuring some impressive examples. See the thread for more details (unfortunately no code yet). Abstract: Video depth estimation has long been hindered by the scarcity of consistent and scalable ground truth data, leading to inconsistent and unreliable results. In this paper, we introduce Depth Any Video, a model that tackles the challenge through two key innovations. First, we develop a scalable synthetic data pipeline, capturing real-time video depth data from diverse game environments, yielding 40,000 video clips of 5-second duration, each with precise depth annotations. Second, we leverage the powerful priors of generative video diffusion models to handle real-world videos effectively, integrating advanced techniques such as rotary position encoding and flow matching to further enhance flexibility and efficiency. Unlike previous models, which are limited to fixed-length video sequences, our approach introduces a novel mixed-duration training strategy that handles videos of varying lengths and performs robustly across different frame rates 0 - even on single frames. At inference, we propose a depth interpolation method that enables our model to infer high-resolution video depth across sequences of up to 150 frames. Our model outperforms all previous generative depth models in terms of spatial accuracy and temporal consistency.

Depth Any Video with Scalable Synthetic Data AI physicists and chemists continue to make strides in depth estimation from video. Check out this new paper featuring some impressive examples. See the thread for more details (unfortunately no code yet). Abstract: Video depth estimation has long been hindered by the scarcity of consistent and scalable ground truth data, leading to inconsistent and unreliable results. In this paper, we introduce Depth Any Video, a model that tackles the challenge through two key innovations. First, we develop a scalable synthetic data pipeline, capturing real-time video depth data from diverse game environments, yielding 40,000 video clips of 5-second duration, each with precise depth annotations. Second, we leverage the powerful priors of generative video diffusion models to handle real-world videos effectively, integrating advanced techniques such as rotary position encoding and flow matching to further enhance flexibility and efficiency. Unlike previous models, which are limited to fixed-length video sequences, our approach introduces a novel mixed-duration training strategy that handles videos of varying lengths and performs robustly across different frame rates 0 - even on single frames. At inference, we propose a depth interpolation method that enables our model to infer high-resolution video depth across sequences of up to 150 frames. Our model outperforms all previous generative depth models in terms of spatial accuracy and temporal consistency.

MrNeRF

27,428 次观看 • 1 年前

Yesterday night, Anthropic was hit with US export control restrictions around their frontier AI models. 🇺🇸 With these recent export control restrictions, Anthropic may need to verify whether a user is a US national to access certain models or capabilities. I built a small prototype exploring how this can be done using World. The flow: 1. User signs in with World ID 2. World verifies they’re a unique human 3. A passport check proves they're a US national. 4. The app receives only a yes/no proof, and not the user’s passport, name, or raw identity data The idea is simple. AI apps should be able to enforce access rules without becoming full KYC companies or storing sensitive identity documents themselves. Compliance will matter more as AI systems get more powerful, but the best version of compliance should be privacy-preserving by default.

Yesterday night, Anthropic was hit with US export control restrictions around their frontier AI models. 🇺🇸 With these recent export control restrictions, Anthropic may need to verify whether a user is a US national to access certain models or capabilities. I built a small prototype exploring how this can be done using World. The flow: 1. User signs in with World ID 2. World verifies they’re a unique human 3. A passport check proves they're a US national. 4. The app receives only a yes/no proof, and not the user’s passport, name, or raw identity data The idea is simple. AI apps should be able to enforce access rules without becoming full KYC companies or storing sensitive identity documents themselves. Compliance will matter more as AI systems get more powerful, but the best version of compliance should be privacy-preserving by default.

Fahim Ahmed

35,253 次观看 • 2 个月前

CHARLESTON IS HEADING BACK TO THE DANCE FOR THE SECOND YEAR IN A ROW WITH THE SECOND LONGEST WIN STREAK IN THE COUNTRY! THEY BRING BACK SO MANY OF THE FACES FROM LAST YEAR! WATCH OUT AMERICA! GIVE THEM A GOOD DRAW AND NOISE CAN BE MADE! REPRESENT SOUTH CAROLINA WELL!

CHARLESTON IS HEADING BACK TO THE DANCE FOR THE SECOND YEAR IN A ROW WITH THE SECOND LONGEST WIN STREAK IN THE COUNTRY! THEY BRING BACK SO MANY OF THE FACES FROM LAST YEAR! WATCH OUT AMERICA! GIVE THEM A GOOD DRAW AND NOISE CAN BE MADE! REPRESENT SOUTH CAROLINA WELL!

Mid-Major Madness

32,885 次观看 • 2 年前

DecartXR: AI meets XR "welcome to the Oasis" 🥽 An open-source app that lets you transform your world in real time, just by speaking. A new way to create, build, and imagine — live. See below how to build with this tech (and a demo on Meta Quest or web) 👇🏻

DecartXR: AI meets XR "welcome to the Oasis" 🥽 An open-source app that lets you transform your world in real time, just by speaking. A new way to create, build, and imagine — live. See below how to build with this tech (and a demo on Meta Quest or web) 👇🏻

Decart

4,304,174 次观看 • 11 个月前

Still obsessed with recreating real-life aesthetic videos with AI 🤯 Found a gorgeous cinematic clip online and challenged myself to remake it. Tbh, I’m absolutely in love with how this turned out. The realism is getting kinda crazy! 🤌✨ Workflow check: 🧠 Character map: Higgsfield SOUL 2.0 🎬 Animation: Seedance 2.0 Dropping the exact prompts in the thread below so you can try it out 🧵👇

Still obsessed with recreating real-life aesthetic videos with AI 🤯 Found a gorgeous cinematic clip online and challenged myself to remake it. Tbh, I’m absolutely in love with how this turned out. The realism is getting kinda crazy! 🤌✨ Workflow check: 🧠 Character map: Higgsfield SOUL 2.0 🎬 Animation: Seedance 2.0 Dropping the exact prompts in the thread below so you can try it out 🧵👇

Ivanna | AI Art & Prompts

16,233 次观看 • 1 个月前

Today, we're excited to announce a partnership with Manta Network (🔱,🔱), the Modular L2 solution that is transforming the landscape of ZK. Nesa is bringing private AI inference to the Manta ecosystem through a specialized collaboration. For the first time, developers on Manta can access Nesa's full library of AI models on-chain, and enjoy lightning fast, end-to-end private AI inference without ever leaving the Manta ecosystem. This means that dapps and protocols can now fuse with AI via smart contract on Manta. This integration is set to redefine the future of decentralized technology with AI. Stay tuned for more updates on how Nesa and Manta Network will be shaping the future of crypto together.

Today, we're excited to announce a partnership with Manta Network (🔱,🔱), the Modular L2 solution that is transforming the landscape of ZK. Nesa is bringing private AI inference to the Manta ecosystem through a specialized collaboration. For the first time, developers on Manta can access Nesa's full library of AI models on-chain, and enjoy lightning fast, end-to-end private AI inference without ever leaving the Manta ecosystem. This means that dapps and protocols can now fuse with AI via smart contract on Manta. This integration is set to redefine the future of decentralized technology with AI. Stay tuned for more updates on how Nesa and Manta Network will be shaping the future of crypto together.

Nesa

35,224 次观看 • 2 年前

✨Introducing YesCheff is a web app that helps you learn, cook, and enjoy your favorite recipes through step-by-step cooking guides built from real YouTube content. You can even use your own YouTube links. A small but special project where I brought all my capabilities together, from design (brand & product) to animation, and development. This project came from exploring how Al models parse data into frontend components and the development of generative interfaces. I designed and developed the structure through React components (HTML, CSS, JS) for the frontend and Node.js for the backend. This is a testament of how one could develop digital products in a less frustrating and more flexible way with the use of Al, particularly when it comes to getting the styling and functionality right. Now which foods are you eager to learn? Check it out at #YesCheff #WebApp #AI #Design #FrontendDevelopment #ReactJS #NodeJS #ProductDesign

JEHTOMS 5.0

85,213 次观看 • 11 个月前

Today, Nesa is excited to announce cross-chain support with Sei. As part of this new development, Nesa will be featuring a dedicated ramp for Sei’s rich ecosystem of applications to seamlessly integrate with AI. Now any Sei dapp can run AI inference on hundreds of models supported by Nesa, including the largest LLMs and most popular models across Vision, Language, and Generative AI. For developers, we’ll have information soon on how to access AI inference on Nesa via smart contracts from the Sei blockchain. Stay tuned for more details on this ground breaking development for decentralized AI.

Today, Nesa is excited to announce cross-chain support with Sei. As part of this new development, Nesa will be featuring a dedicated ramp for Sei’s rich ecosystem of applications to seamlessly integrate with AI. Now any Sei dapp can run AI inference on hundreds of models supported by Nesa, including the largest LLMs and most popular models across Vision, Language, and Generative AI. For developers, we’ll have information soon on how to access AI inference on Nesa via smart contracts from the Sei blockchain. Stay tuned for more details on this ground breaking development for decentralized AI.

Nesa

79,690 次观看 • 2 年前

ChatGPT Web is now inside Codex 😲 this open-source project has already crossed 2.7k stars instead of using a separate workflow, it lets you use ChatGPT Web models directly from Codex's model picker what you get: - GPT-5.6 Pro for eligible accounts - free Luna access - ChatGPT Web quota - Codex tools + context - images, streaming and reasoning - open-source + MIT licensed getting started: 1. go to 2. install the launcher 3. sign in with your ChatGPT account 4. run the browser checks 5. install the models 6. restart Codex and select ChatGPT Web the interesting part? you can keep using Codex normally while routing the selected model through ChatGPT Web no separate API key for the ChatGPT model 2.7k+ stars and still actively updated worth checking if you already use Codex and want to experiment with ChatGPT Web models

ChatGPT Web is now inside Codex 😲 this open-source project has already crossed 2.7k stars instead of using a separate workflow, it lets you use ChatGPT Web models directly from Codex's model picker what you get: - GPT-5.6 Pro for eligible accounts - free Luna access - ChatGPT Web quota - Codex tools + context - images, streaming and reasoning - open-source + MIT licensed getting started: 1. go to 2. install the launcher 3. sign in with your ChatGPT account 4. run the browser checks 5. install the models 6. restart Codex and select ChatGPT Web the interesting part? you can keep using Codex normally while routing the selected model through ChatGPT Web no separate API key for the ChatGPT model 2.7k+ stars and still actively updated worth checking if you already use Codex and want to experiment with ChatGPT Web models

K2S

100,249 次观看 • 9 天前

A massive repository with end-to-end examples of AI applications with React! Together with MCP and A2A, the Agent-User Interaction Protocol (AG-UI) is the third piece that will help you build user-facing AI agents. This GitHub repository will give you access to a bunch of examples showing you how to build the following: • Real-time updates between AI and users • Shared mutable state between agents and users • Tool orchestration • Security boundaries • UI synchronization In every one of these examples, you'll get the following: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent Check the link in the next post:

A massive repository with end-to-end examples of AI applications with React! Together with MCP and A2A, the Agent-User Interaction Protocol (AG-UI) is the third piece that will help you build user-facing AI agents. This GitHub repository will give you access to a bunch of examples showing you how to build the following: • Real-time updates between AI and users • Shared mutable state between agents and users • Tool orchestration • Security boundaries • UI synchronization In every one of these examples, you'll get the following: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent Check the link in the next post:

Santiago

78,271 次观看 • 11 个月前