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Chapters (Powered by ChapterMe) - 
00:00 - Coming Up
00:16 - Manus: First general AI agent
01:02 - Multi-agent AI system
02:42 - Dynamic task decomposition algorithm
03:34 - What can Manus accomplish?
04:01 - GAIA benchmark
04:31 - Wrappers: Most successful AI products today
06:06 - Manus pros: cost-effective and user control
06:58 - Limitations
07:50 - Founders: Invest in proprietary evals
08:22 - Outro

@PetrBrzek

I want this kind of ad for my agent too!

@GehirnGold_de

00:06 - Manus entwickelt sich zu einem revolutionären allgemeinen KI-Agenten angesichts zunehmender Konkurrenz.
01:09 - Manus ist ein Multi-Agenten-KI-System, das Aufgaben effizient koordiniert.
02:15 - Manus optimiert KI-Aufgaben durch fortschrittliche Tool-Integration und dynamische Aufgabenzerlegung.
03:21 - Manus übertrifft in realen Aufgaben mit robuster Integration und Ausführung.
04:27 - Manus stellt die Wahrnehmungen von KI-Startups auf der Anwendungsebene in Frage.
05:30 - Innovative KI-Agenten konzentrieren sich auf Benutzererfahrung und Effizienz.
06:28 - Neue KI-Agentenplattform bietet Flexibilität und Transparenz.
07:28 - KI-Agenten benötigen nachhaltige Differenzierung für langfristigen Erfolg.

@manmeetsethi5390

The way manus coordinates between subagents is fascinating. I've been building something similar but smaller scale using mem0 for persistent memory across agent interactions. This video gave me some new ideas!

@franklinrashid8804

I’ll wait for the fireship review

@priyanka1154

Since its a wrapper, chatgpt will start offering this soon!

@TerezaTizkova

Proud to see E2B powering its code execution

@MrDiglenson

What's the breakthrough? Isn't that how multi agent orchestration works? A planner agent that delegates task to specialized agents.

@TheFuturewithAI

Absolutely mind-blowing. The depth and clarity in this breakdown of Manis really set a new bar for how we understand the future of AI agents. 🙌 It’s easy to get lost in the hype surrounding new tools, but this video actually grounds the excitement with solid insights—from the architecture and execution strategy to the real trade-offs and long-term implications for developers and founders.

The comparison to “rappers” was especially eye-opening. It reframes the conversation in such a productive way—reminding us that innovation often lies in orchestration, not reinvention. Manis doesn’t just ride the wave; it shows what’s possible when intelligent design meets thoughtful integration. 🔥

To the creator: Thank you for helping us see past the buzzwords and into what truly makes an AI agent usable and valuable. Subscribed and excited for what’s next.

Anyone else feel like we’re watching the operating systems of the future being born in real time? 👀💬

@maggiemao

Manus’s approach shows promise, but it has yet to deliver on its potential. While initial testing is interesting (even failed sessions), current use cases are limited and the cost is prohibitive. In conclusion, it may be best to wait.

@AIForEducators-mp4he

Thanks! Greatly appreciated the breakdown and especially enjoyed the ending

@Tpb247

The future isn’t in these general purpose wrappers but domain specific applications with built in llms. E.g. MS 365 copilot, databricks etc.

@benvolio-f1y

The discussion on wrappers versus domain-specific applications is key - it's not about replacing existing tools, but intelligently integrating them for specific needs.

@Rymdkoloni

wow thanks Garry, great insights about the key of success for building AI products! The last chapter is pure gold

@ReflectionOcean

Quiz By "YouSum Live"

00:00:39 How does Manis differ from traditional chatbots?
00:01:01 What is the main innovation of Manis?
00:01:44 What is the role of the planner agent in Manis?
00:02:15 How many integrated tools does Manis utilize?
00:04:27 What benchmark did Manis excel in?
00:06:10 What are the advantages of Manis's multi-agent orchestration?
00:06:34 What unique feature does Manis offer regarding its file system?
00:07:34 What are the potential vulnerabilities of Manis?
00:08:04 What is essential for sustainable differentiation in AI products?

Quiz By "YouSum Live"

@gokhantourkkanli9702

Very informative - great analyses. I love the conclusion! ❤

@lifelearner-s9n

I've just found out about it yesterday! thanks for sharing.

@vaidphysics

Manus is great for doing research on any topic, or for building html based websites, but ask it to build a react, next.js based app and it'll give you something, but that something will fail to execute and will be a nightmare to debug. So, no, its good for some things, but not for anything which requires complex design and building.

@CodeBrewCS

Manus is pretty cool i got on a few days ago

@arydotexe

The fact that this is already outdated is crazy... 48 hours! 😂