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Guys, I think this might have actually been more of a breakthrough than I was expecting. This is absolutely absurd. Um, I'm running three different tasks right now. They're all incredibly difficult tasks, right? This one here has been running for 35 minutes uninterrupted, right? Crazy. This one here has been running, it was running for more than 6 minutes. It just had some questions for me and I think it's done an incredible job. We're going to check the quote quality very, very soon. I have a n

And there it is, guys. Claude Opus 4.7. Introducing a smarter, more capable opus for coding, agents, vision, and complex professional work. This is going to be a completely unedited review of the news. I'm going to try and set it up in Claude as well. And I'm going to show you guys all of that process just to see because we all want to work on this together. This is not going to be a polished video. If you like polished YouTubers, go and watch a different YouTuber. Let's jump into things. So, I'

Well, happy Monday everyone. Um, I'm Andrea Crop from Landing AI. I'm excited to talk to you today about agentic document extraction at scale. Um, I am an applied AI practitioner. So, today we're going to be talking about a specific application of Agentic AI in the document space. And in addition to sharing some of the technologies that landing AI has developed, I'm also going to show you how you can create a self-improving pipeline um using some multi- aent orchestration. So um I'm not going to

Look at this guys. It says right here, model access K2.6 code preview flagship model. This is the model that I'm now using inside Kimmy Code. I'm extremely excited to see how good this new builder is. This is basically Kimmy's version of Claude Code and we're going to use it today to build an entire project from start to finish. Let's jump into it. Okay, so the first thing we want to do is you just want to go on Google and type in convex next.js JS and then grab this right here and then just pas

Yeah. So, greetings everyone. Yep. Greetings everyone. My name is Paige. I'm the engine lead for a debil team at Google DeepMind. Um, I've been doing machine learning for a really long time. Uh, and uh, there has never been a more exciting time to be either a software engineer or a data scientist or a person who's just high agency and predisposed to building things. Um, I'm really really excited to show you um, what we've been cooking up at DeepMind over the course of the last six months. um and

I'm excited to announce a new course on specdriven development built in partnership with Jet Brains. As opposed to Vive coding, specdriven development is a disciplined agentic coding workflow. Start with a markdown file or a long prompt explaining exactly what to build and let your agent code based on that spec. Many of the best developers build this way. This course teaches you how to write highquality specs for developing in both new and existing code bases. I'm delighted our instructor for th

So just look at the cost of this guys. It basically costs absolutely nothing to power the entire web scraping system inside Harbor. Now for context guys, Harbor probably scrapes thousands and thousands of web pages every single day. And the maximum cost we've actually had is 88 cents here, 96 cents here. And this is for a lot, and I mean a lot of scraping. So, a lot of people think that this stuff is expensive. I'm trying to show you guys that it's not expensive and that Bright Data is the numbe

So, OpenAI just released this paper that talks about what is going to happen after AGI, and I think we need to talk about this. So, a few days ago, OpenAI published this paper called Industrial Policy for the Intelligence Age, and I think this is bigger than most people realize because the conversation around AI and AGI is starting to get serious, but in a way that most people, including some of you guys watching this video, don't understand, and let me explain. So, when you think about this, ok

How's it going everybody? Welcome back to the Matt Vid Pro channel. There's a few things I want to talk about on today's agenda. There are some major OpenAI related updates on the way. Not just the images v2 we talked about in my last video, but also new experimental beta features. Uh there's a lot of talk about a codeex super app. Regardless, without any further ado, let's dive right into it. Let's take a look at this quote unquote super app from OpenAI. First, all this information is brought t

Well, Anthropic just launched routines, which allows Claude to kick off automations via schedule, trigger, or even web hook. And this closes the loop and basically turns Claude into a dedicated automation platform competing with no code drag and drop builders like NADEN and others. In this video, I'm going to show you guys how you can build routines very quickly. I'm going to give you guys a couple of demos and I'm going to walk you through step by step setting up your own routines on both the C

In this video, I'm going to show you the latest techniques for creating a professional AI film. By the end of this video, you will know the exact steps that you need to take in order to create a really compelling project, but I should note that the entire process of making a film is definitely going to take some time. So, this is really meant to be a jumping off point. If you want to learn more about the extensive process of putting a huge film together, I highly recommend checking out our cours

Look at this beautiful message, guys. K2.6 code preview is now available. This is a new model from Kimmy. Kimmy, to be honest with you, has been one of my preferred Chinese models. I'm going to be really honest with you guys. And also, they do have a pretty good coding plan as well. So, in today's video, we're going to be doing a very quick dive into this. You can see right here, Open Code, it is genuinely using the new K.26 26 code preview and I'm going to show you how I set that up now. So, th

Okay. So, today um we're going to build multi- aent system that are distributed. We're all going to be doing that together. This is a handson session. I hope all of you got ready for that. And we have the three Google developer experts, William, Cartik, and Pedro, who volunteered to help moderate the chat question and provide you answers. So, please ask your question to get help from our experts. We have only 45 minutes for this session. Uh so we might not get through all of it. I will do my bes

Let's learn how we can start using Devin AI in our software engineering workflows. And I want to get it to the point where Devin is literally my teammate and my co-founder for my current application here Text Snippet. So, I'm going to show you a real development workflow here as me and Devin create a new feature Text Snippet. Does that sound good? Let's do some agentic coding type of video. Welcome back, y'all. Today's video is sponsored by Devin. They said, "Check out Devin AI and how it can ac

[music] >> Hi, welcome to another video. So, if you remember, I had talked before about how you can use good models for free through Nvidia NIMS or basically the Nvidia API catalog. And I had also shown that workflow in Kilo CLI. That setup was already really good because you could use stuff like Kimmy, GLM, and the older MiniMax models without immediately paying per token in the usual painful way. But now there is a new model there, and this is the part that makes it much more interesting

While everyone is using AI to code websites, there's a huge opportunity in the mobile app space. People are making crazy amounts of money by building custom mobile apps with the help of AI. But most people don't realize just how fast you can do this. In fact, it has never been easier to take your idea, build it into a custom mobile app, and get it on the app store. And we're going to use AI to do all of it for us. All right. So, the first thing we need to do is choose which AI builder are we goi

Amir is back on the pod. Thank you. Uh by the end of this episode, what are people going to learn? Today we're going to cover three aspects of building business, using new tools to actually build out landing pages, and then using other tools like humble to actually create high converting landing pages and running experiments. So, we're going to cover how to actually use idea browser to build the right amount of context and planning to come up with an idea and build a landing page behind it, vali

OpenClaw is expensive and that's a problem. I've seen people spend upwards of $10,000 a month just using OpenClaw. I wanted to fix it. It takes a lot of money to process everything in the cloud. What if you could offload some of that to open-source models running locally? In this video, I'm going to show you how to do that using Nvidia's RTX GPUs or DJX Spark. The nice thing about this is that you can do this even on RTX GPUs you're not using right now. So your old gaming laptop, your desktop, a

Now, OpenCore is probably the best open source AI agent right now, but every time you send it a message, you're burning through API credits. Most people are spending 20, 40, sometimes $80 a month just on API costs. In today's video, I'll show you how you can get that down to basically nothing. Now, the reason open Corglet's expensive is because of the models it runs on. Claude and GPT, these are premium APIs. And even if you switch to open source models through something like Open Router, you're

So this tutorial we're going to focus on why AI projects fail. Really important topic. So war stories from real customer deployment. So Raja Cababal is going to be taking you through this incredibly important lesson um on where things tend to go wrong. Um and this especially tends to happen at the point of when you go to deploy in the real world. So we'll look at how you know failure happens and some steps organizations can take to avoid failure. So I'll hand it over to Raja to start the tutoria

Look at this guys. The official model is only ranked 48, ranked 38, and rank 28. And then the free one, for some reason, isn't ranked for anything. I think people are sleeping on this model, and they don't quite understand just how good it actually is. In today's video, I'm going to try and show you guys how good of a model this really is. We're going to be making a complete SAS project from start to finish using only Gemma 431B and also Claude code inside Claude Code routter. Let's jump into th

Good morning everyone. How's it going? Today we have Aritra here who's going to be joining us. He's from the developer advocacy team. He's a developer advocate here at Hugging Face and he works with very closely with Transformers. He's a machine learning expert and he's here to share some secrets about MOEs and life at Hugging Face. So, welcome Aritra. Thank you very much for joining us. Namaskar. I am Aritra and that is how I say hello to everybody. I am Aritra in my native tongue. I am a devel

[music] >> Hi. Welcome to another video. So, today I want to talk about Multica because this is one of the more interesting open source agent platforms I have seen in a while. If you use tools like Claude Code, Codex, Open Claw, or Open Code, Multica is basically trying to turn those coding agents into actual teammates instead of just terminal sessions that you babysit one by one. And that is really the main pitch here. Instead of copy-pasting prompts into a single AI tool all day, Multica

What is up people? I'm back and I have some mega mega source to share with you guys today. So, uh you've read the title. Uh this is about selling AIOS or AI operating systems as a service where I think the market is hitting and I just want to give you kind of my read on the market right now. I'd had to kind of take a step back from YouTube for a bit and I mean it's just getting so crazy, man. Like I made the video a while back like AGI is here. Um, and I got clowned a little bit for it, but like

I think AI has just reached a tipping point in terms of the backlash and I think we should talk about it. So this is a viral tweet that was recently posted and it shows a man kicking and vandalizing a sidewalk delivery robot on a night out at a California street. Now, the overlay reads, "If you're a clanker, don't come around me." And if you, you know, know what that word means, you'll understand exactly why this is, you know, part of the AI backlash. Now, this clip racked up basically 1 million

Every single one of these websites in front of you was created in around 10 minutes using Google Stitch and Claude Code. And in this video, we're going to be talking about three ways that you can build beautiful websites that actually make you money, like actually help you acquire customers. And by the way, we're not just building a landing page, we're actually building the full-blown freaking website from scratch in like 10 minutes. Now, the reason why I say that we're going to be building webs

Welcome back. Um so our next session is basically you know solving agentic IIA's infrastructure crisis powering agentic inference with Salmanova. So this tutorial demonstrates sort of going from single agent configurations to more uh fully distributed systems. So, you're going to be using, you know, Google ADK, um, the A2A protocol and cloud run. Um, and you'll create and implement a kind of scalable multi- aent architecture that kind of, you know, mimics actual production processes. Um, so you'