Microsoft’s New Magnetic-One AI System Is More Powerful Than Anything We’ve Seen! | AI Revolution - video Dailymotion

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Microsoft Magnetic-One AI, Magnetic-One AI system, most powerful AI 2025, advanced Microsoft AI, Magnetic-One capabilities, Microsoft AI innovation, superintelligent AI system, AI future technology, Microsoft next-gen AI, new AI system release, Magnetic-One vs ChatGPT, breakthrough in AI, artificial intelligence Microsoft, smart AI platform, Magnetic-One explained, futuristic AI tools, business AI solutions, intelligent data systems, AI technology leap, quantum AI innovation  #ai #microsoft Microsoft's Magnetic-One AI is a powerful, multi-agent system designed to handle complex tasks by using specialized agents for web browsing, file management, coding, and executing commands. This AI system, led by a central Orchestrator, can seamlessly perform a range of activities, from booking tickets to analyzing data, making it highly adaptable and efficient. Built on Microsoft’s open-source AutoGen framework, Magnetic-One stands out as a flexible, action-oriented AI that’s pushing the boundaries of technology.  🔍 Key Topics Covered:   Microsoft’s Magnetic-One AI System: A multi-agent AI powerhouse that tackles complex tasks effortlessly   How Magnetic-One uses specialized agents to perform tasks like web browsing, coding, and file management   The potential impact of Magnetic-One on productivity, automation, and the future of AI technology    🎥 What You’ll Learn:   How Microsoft’s Magnetic-One AI system combines multiple agents to create a super-efficient task manager   Why Magnetic-One is a significant step forward in building versatile, action-oriented AI systems   How Magnetic-One’s modular design allows it to adapt to a variety of tasks, from everyday tasks to specialized technical operations    📊 Why This Matters:   This video explores Microsoft’s Magnetic-One AI system, a groundbreaking advancement in multi-agent AI that moves beyond simple responses to performing complex actions autonomously. From boosting productivity to reshaping automation, Magnetic-One could redefine how AI integrates into our daily and professional lives.  DISCLAIMER:   This video provides an in-depth look at Microsoft’s Magnetic-One AI system and its potential to revolutionize task automation and AI functionality in both personal and professional spaces.   #ai    #microsoft #MagneticOneAI #MicrosoftAI #FutureOfAI #AIRevolution #NextGenAI #ArtificialIntelligence #SuperintelligentAI #MicrosoftTech #AIInnovation #AdvancedAI #NewAI2025 #QuantumAI #SmartTechnology #MagneticOne #TechBreakthrough #AIinBusiness #AIinTech #NextLevelAI #IntelligentSystems #AIUpdate

Transcript

00:00So, Microsoft has just dropped something pretty exciting. It's called Magnetic One,

00:06a powerful multi-agent AI system that's changing the game. Now, I know that might

00:11sound like a mouthful, but hang in there. This system is like a team of AIs, each

00:15with its own specialty, coming together to tackle complex tasks step-by-step

00:19across all kinds of fields. Alright, so Magnetic One doesn't work like the

00:24typical AI we're used to. This system actually goes beyond just giving you

00:29answers. It's designed to take action. Booking a movie ticket, writing code, or

00:33navigating files on a device handled seamlessly. Magnetic One can also operate

00:38web browsers, edit documents, and even execute Python code. The mastermind

00:44behind this whole operation is a lead agent called the orchestrator. Think of it

00:48like the manager of a team directing four other agents, each of which specializes

00:52in different tasks. Let's dive into these agents to see what each one brings to the

00:56table. So, the first agent is called Web Surfer. This one's job is pretty much what

01:00it sounds like. It handles all web-based tasks. It can open web pages, click around,

01:05type, and even summarize content on a page. It actually handles everything from web

01:09searches to form filling without a hitch. Next up, we have File Surfer. This guy is the

01:14file and folder expert. It can navigate through files on your device, list out

01:19directories, and basically act as your personal file manager. So, if you're trying to

01:23find a document buried somewhere on your computer, File Surfer can help you locate

01:28it in seconds. Then there's Coder. This one's probably my favorite. It's built to

01:33write and execute code, handle data analysis, create Python scripts, and develop

01:37small programs effortlessly. This one truly brings high-level development skills

01:42right to your fingertips.

01:43The person who developed this is slightly smarter than me. Slightly.

01:47Lastly, we've got Computer Terminal. Now, this agent works with Coder by

01:51providing a virtual console or shell where all those programs and scripts

01:55Coder writes can actually run. It's also where you could install additional

01:59programming libraries if you need them. So, imagine giving an instruction like,

02:03put me a movie ticket for tonight. The orchestrator would step in, break down the

02:08task, and assign subtasks to each agent. Web Surfer might navigate to the movie

02:12website, File Surfer could save the confirmation, and Coder could handle any data

02:17processing. Each agent plays its part, and the orchestrator keeps them all in sync.

02:22Microsoft didn't just design Magnetic One to do one thing really well.

02:29They made it to be flexible and adaptable. Unlike a single-agent AI where one model

02:35does everything and might struggle with complex tasks, Magnetic One's modular

02:39design allows agents to be added or removed as needed without affecting the

02:43whole system. And this flexibility is huge because it means Magnetic One isn't

02:47just locked into doing a few specific things. It can grow and adapt based on

02:51whatever task you throw at it, which is why Microsoft is calling it a

02:54generalist system. Imagine the possibilities if you could continuously

02:59upgrade your AI without breaking the core functionality.

03:02Alright, now here's a quick look at the technology behind it.

03:05Magnetic One is built using Microsoft's open source framework called Autogen.

03:09And here's what that does. Autogen lets you integrate Magnetic One with different

03:14large language models, or LLMs, so you're not stuck with just one.

03:18The agent can be backed by a large language model, it can be backed by a tools or code

03:24executor, and it also can be backed by a human user.

03:27Right now it's optimized to work with models like GPT-40 and OpenAI's O1 preview, but it's

03:32model agnostic. That means you can swap in other models or even use multiple models for

03:37different agents depending on what you need, like having a model that's better at reasoning

03:41handle the orchestrator tasks. And to make sure the system is running at its best,

03:46Microsoft created something called AutogenBench. This tool is like a testing ground for agent-based

03:51AI, with benchmarks that evaluate how well each agent performs on complex multi-step tasks.

03:57AutogenBench tests agents on real-world tasks using benchmarks like Gaia, AssistantBench,

04:03and WebArena, which are designed to measure things like planning and tool use. Microsoft's

04:07initial tests showed that Magnetic One holds its own, even against the best AI systems out there.

04:13So what can you actually do with Magnetic One? Like we mentioned earlier, Magnetic One is designed

04:18for all kinds of tasks, from software engineering and data analysis to scientific research and web

04:24browsing. It's built to be incredibly versatile. For a researcher handling a large data analysis project,

04:30the orchestrator agent could assign data-fetching tasks to WebSurfer, organize local files with

04:35FileSurfer, and execute complex calculations through Coder, all without manual intervention.

04:40Or for a content creator managing web navigation, content summarization, or research compilation,

04:46Magnetic One's modular setup streamlines these tasks into one seamless AI solution, eliminating the

04:52need for multiple tools. Now what's interesting is how Magnetic One reflects this bigger shift in AI.

04:58We've gone from having AI just recommend things to having it take actions on our behalf. It's no

05:03longer just about suggesting a restaurant, it's about booking the table, placing your order, and

05:08arranging for delivery. Microsoft calls this an agentic system, where AI isn't just talking back at

05:14us, but actively doing things to make our lives easier. And as Microsoft says, we're only scratching the

05:19surface here, but of course with great power comes some risks. Magnetic One is designed to be careful,

05:25but AI that can act in the world brings up new questions. During testing, Microsoft found that

05:31the agents sometimes tried actions they weren't supposed to. For instance, an agent kept trying to

05:36log into a website, causing the account to be temporarily suspended. In another case, an agent even tried

05:42reaching out to other humans for help, drafting a Freedom of Information request to a government agency.

05:48These examples show why it's so important to keep these systems in check and ensure they're acting

05:53responsibly. Microsoft isn't taking this lightly either. They're working with their deployment

05:58safety board to prevent these kinds of incidents, using techniques like sandboxed docker containers for

06:03tasks that involve running code. They've also released guidance on using Magnetic One safely, advising on

06:10human oversight when the system takes irreversible actions. For instance, if an agent is about to delete a

06:15file, it's designed to pause and ask for confirmation. In the future, they're thinking of even more ways to

06:21handle risks, like programming agents to understand which actions are reversible and which aren't. This

06:27is still an evolving field, but Microsoft is definitely setting a precedent here. Now this system isn't alone in

06:34the multi-agent game. Other big tech companies are also jumping in. OpenAI has developed a framework called

06:40Swarm, and IBM has something called the B-Agent Framework. These systems aim to handle complex tasks using

06:47multiple agents, just like Magnetic One. But where Microsoft's Magnetic One stands out is in its modular plug and play

06:53design. You can add or remove agents without needing to rework the whole system, which isn't as common in some of

06:59these other setups. To bring it all together, here's a quick recap of what makes Magnetic One tick. At the heart of it, you've got the

07:07orchestrator managing everything, backed up by the specialized agents we talked about earlier.

07:12The system is powered by Autogen, and AutogenBench is there to evaluate and optimize each agent's

07:18performance on different tasks. And remember, this AI system is completely open source, so if you're a

07:23developer or a researcher, you can jump on GitHub right now and start experimenting. Whether you're

07:28looking to build a new application or improve your productivity, Magnetic One could potentially be

07:33a game-changer in the world of multi-agent AI. So it's an exciting new chapter in AI, and we're

07:39only just getting started. Microsoft's vision here is clear. They want AI that doesn't just think,

07:44but acts, making it a real partner in everyday tasks. What do you guys think? Is this the future of

07:48AI we've been waiting for? Let me know your thoughts in the comments, and as always, make sure to like the

07:53video and subscribe to the channel for more on AI and tech. Thanks for watching, and I'll catch you in the next one.

Microsoft’s New Magnetic-One AI System Is More Powerful Than Anything We’ve Seen! | AI Revolution

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