A brief analysis of the AMMO white paper: AI Agent narratives need to be upgraded

Author: Haotian

I spent some time carefully reading the new white paper released by @Ammo_AI, and I was deeply touched. Below, I would like to share some inspirations:

1) The market's pursuit of AI Agent is essentially that AI is not satisfied with being just a query tool in Copilot mode, where AI answers what users ask, but should be more like a companion growth mode in Buddy mode, able to understand, think, and actively create value and push it to people. This is the key to AI Agent being raised to a narrative height;

2) The traditional web2 AI single model started with "instrumental pragmatism", which easily formed an island of data source in multimodal collaboration, and it is difficult to achieve a real intelligent breakthrough. Although web3 has proposed the ideology of individual autonomy of AI Agent, it is still far from achieving the goal, and AI's autonomous decision-making is far more complicated than imagined. Only when AI assists in automatic learning and path recommendation, and humans enhance AI's autonomous learning through feedback, can the "symbiotic model" truly become the dominant direction of AI Agent in the future;

3) AMMO defines an abstract space called MetaSpace, which allows all data around AI Agent to be allocated in the space in the form of Vector vectors, just like the blockchain initially defined Hash, which led to all subsequent protocols and application forms on the chain. This form, which starts with Vector, can not only serve web3, but is also a framework standard suitable for web2 multimodality. Combined with the MAS multimodal collaboration system on top of it, it can transform AI's current "think tank" orientation in the academic direction into a "practical" orientation towards actual application scenarios such as work, games, and education;

4) How to understand it in a popular way? We regard MetaSpace as a large shopping mall. Each functional layer belongs to a SubSpace, and each area has a different knowledge base. The Buddies system is an intelligent shopping guide system. Goal Buddies, as a professional shopping guide, selects some high-quality products for you to recommend; User Buddies is more like a personal assistant who can give customized solutions based on your consumption habits and budget; AiPP collects feedback and suggestions like a general service desk to improve service quality;

Overall, to make AI Agent run through MetaSpace+Buddies+AiPP human-computer feedback system and other necessary components, it is necessary to truly accelerate the mass production and practical implementation of AI Agent;

5) The white paper shows more of an off-chain AI Agent multimodal collaboration framework and engineering implementation ideas, and some definition standards on the combined chain, including ID identity system, Memory memory system, Character feature system, Context context management, Oracle The definition of components such as the oracle system needs further exploration (the "chained" universal standard framework that I often mentioned before);

That's all.

It should be said that this is the most emotional and pragmatic project in recent times in terms of macro-architecture, application implementation, and engineering implementation ideas, but after reading the above, everyone may feel confused and abstract. Yes, the path to the real large-scale popularization and application of AI Agent is longer than expected, but there are indeed more and more excellent teams coming in, and some innovative solutions and ideas are also being brewed. The market is waiting for the birth of an innovative "singularity".