I spent some time carefully reading the white paper released by Ammo and was deeply touched. Here are some inspirations:

1) The market's pursuit of AI Agents is essentially that AI is not just a query tool in Copilot mode, where AI answers users' questions, but should be more like a Buddy mode of companionship and growth, able to understand, think, and actively create value and push it to people. This is the key to AI Agents being elevated to a narrative level;

2) The traditional web2 AI single-body model started with "instrumental pragmatism", which easily formed isolated data sources in multimodal collaboration, and it is difficult to achieve a real breakthrough in intelligence. Although web3 has proposed the ideology of AI Agent individual autonomy, it is still far from the goal. AI's autonomous decision-making is far more complicated than imagined. Let AI assist in automated learning and path recommendation, and the "symbiotic model" in which people enhance AI's autonomous learning through feedback can 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 starting 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 layman's terms? We regard MetaSpace as a large shopping mall. Each functional layer belongs to a SubSpace. 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 that can provide customized solutions based on your consumption habits and budget; AiPP collects feedback and suggestions like a general service desk to improve service quality;

In general, AI Agent needs to be put into operation through MetaSpace+Buddies+AiPP human-machine feedback system and other necessary components to truly accelerate the mass production and practical implementation of AI Agent;

5) The white paper shows more about an off-chain AI Agent multimodal collaboration framework and engineering implementation ideas. Some definition standards on the combined chain, including the ID identity system, Memory system, Character feature system, Context management, Oracle oracle system and other component definitions, need further exploration (the "chained" general standard framework I often mentioned before);

above.

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".