First TRULY General Agent "MANUS" Blows Up the Internet - The Most HYPED AI Ever!

By AI Revolution

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Key Concepts:

  • Autonomous AI Agent
  • General AI
  • Multi-Agent Structure
  • Task Planning and Execution
  • Gaia Benchmark
  • Artificial General Intelligence (AGI)

1. Introduction to Manis

  • Manis is presented as a new autonomous AI agent developed by the Chinese startup Monica (monica.im).
  • It's described as the "world's first truly General AI agent," capable of planning, executing, and delivering final results, unlike typical chatbots.
  • The name "Manis" (Latin for "mind and hand") signifies the integration of knowledge and practical application.

2. Rise to Fame and Invitation Code Frenzy

  • The early preview launch on March 6, 2025, created high demand, leading to invitation codes being resold for exorbitant prices (ranging from $137 to $144,000).
  • This demand stemmed from the advanced capabilities Manis demonstrated.

3. Multi-Agent Structure and Capabilities

  • Manis employs a multi-agent structure, where different sub-agents handle distinct parts of a task (planning, execution, verification).
  • This structure allows Manis to perform complex tasks, such as:
    • Screening resumes for job positions.
    • Analyzing real estate listings based on user preferences.
    • Analyzing stock data and building dashboards.
    • Summarizing financial statements.
  • Example: A user seeking a house in New York with specific criteria (safe community, good schools, budget) received a polished report with recommended properties after Manis searched online, looked up property prices, and did budget calculations.
  • Other use cases include planning trips, analyzing Tesla stock, creating course materials, and compiling lists of B2B companies.
  • Manis can generate code, visual dashboards, and present data in tables or Excel documents.

4. Performance on the Gaia Benchmark

  • Manis achieved new state-of-the-art performance on the Gaia Benchmark, which measures how well a general AI assistant can solve real-world tasks.
  • It surpassed other systems, including OpenAI's deep research, on all three levels of Gaia's difficulty ratings.
  • The specifics of the Gaia tests are not widely detailed.
  • Claim: "We surpass OpenAI's best models at the same level."

5. Company Background and Investment

  • Monica was founded by Xiao Hong, a serial entrepreneur and graduate of Waj Jong University of Science and Technology.
  • G Chow is mentioned as a co-founder and chief scientist.
  • Zanga is another partner.
  • 1.10 cents Venture Capital arm and Zen Fund invested in Monica in July 2022.

6. Comparisons and Market Potential

  • Manis is being compared to DeepSeek and is considered by some as a "Sputnik moment" or "GPT moment" for China.
  • It aims for Artificial General Intelligence (AGI) in the digital space, handling multi-step processes.
  • Gartner predicts that AI agent adoption will rise from 21% of enterprises in January 2024 to over 80% by 2026, indicating a significant market opportunity.
  • Potential applications include B2B sourcing, analyzing Amazon store data, and preparing store sales improvement strategies.
  • Examples:
    • Helping a barbecue restaurant in Texas boost sales using local data.
    • Participating in Kaggle competitions and ranking in the top 10%.

7. Access and Criticism

  • Access to Manis is currently Invitation Only, leading to a shortage of invites and resale at high prices.
  • The developers are working on scaling up servers for more Open Access and hope to offer a free version in the future.
  • Critics question whether Manis is truly autonomous or simply combining existing technologies.
  • Monica is known for its successful browser plug-in for ChatGPT, which gained 10 million users quickly.

8. Key Features and Competition

  • Manis can unzip files, sift through resumes, run Python scripts, and compile real estate data.
  • It features autonomous learning, retaining user preferences for future tasks.
  • Companies like Anthropic, OpenAI, and Google are also developing agent-like systems, but Manis is presented as having a more thorough demo.

9. Conclusion

  • The video concludes by questioning whether Manis is a well-packaged aggregator of AI tools or a genuine step towards General AI.
  • The success of Manis will depend on its ability to scale and deliver on its promises.

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