Author: Haotian

I took a while and looked at the newly published white paper from @Ammo_AI and felt a lot. Below, share some inspiration:

1) The market's pursuit of AI Agent is essentially that it is not satisfied that AI is just a query tool for the Copilot model. Users ask what AI answers accordingly, but should be more like the companion growth model of the Buddy model, which can understand, think and actively create value and push it to people. This is the key to the AI ​​Agent being brought to a narrative level; 2) The traditional AI monolithic model of web2 started with "tool-based pragmatism". It is easy to form data source islands in multimodal collaboration, and it is difficult to make a smart breakthrough in the true sense. Although web3 proposed the individual autonomous ideology of AI Agent, it is still far from achieving the goal. AI's autonomous decision-making is far more complicated than imagined. Let AI assist in automated learning and path recommendations, and the "symbiotic model" of people enhancing AI independent learning through feedback can truly become the dominant direction of AI Agent in the next sense; 3) AMMO defines an abstract space called MetaSpace, allowing all data surrounding AI Agent to be allocated in the space in the form of a Vector vector, just like the blockchain initially defined Hash, which has all the protocols and application forms that are then linked. This form of starting with Vector can not only serve web3, but also itself is a framework standard suitable for web2 multimodality. Combined with the MAS multimodal collaboration system above it, AI's current "think tank" orientation in academic direction can turn AI's current "think tank" orientation towards practical application scenarios such as work, games, and education; 4) How to understand it in a popular way? We regard MetaSpace as a large shopping center. 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; while User Buddies is more like a personal assistant to provide customized solutions based on your consumption habits and budget; AiPP collects feedback suggestions like the head service desk and improvesQuality of service;

Overall, in order to enable the AI ​​Agent to operate through necessary components such as MetaSpace+Buddies+AiPP human-computer feedback system, truly accelerate the mass production and practical implementation of AI Agent;

5) The white paper more shows off an off-chain AI Agent multimodal collaboration framework and engineering implementation ideas. Some definition standards on the combination chain, including ID identity system, Memory memory system, Character feature system, Context context management, Oracle oracle system, etc., need to be further overcome and explored (I often mentioned the "chained" general standard framework);

Above.

It should be said that this is the most emotional and pragmatic project that has seen the implementation of macro architecture and application and engineering implementation ideas in recent times, but after reading the above, everyone may have a confused sense of abstraction. That's right, the path of AI Agent to be truly popularized and applied on a large scale is longer than expected, but more and more excellent teams are coming in, and some innovative solutions and ideas are also brewing. The market is waiting for the birth of an innovative "singularity".