When speaking in the #SocialMining networks as well as within #AutonomysNetwork , one can mention the use of the #AI3 protocol in relation to the abilility of scaling AI infrastructure and how to ensure resilience. Increasing frequency of outage in centralized cloud facilities are accelerating the mainstreaming of concerns regarding the capability of such cloud facilities to support billions of AI agents.
A possible answer which is being considered is distributed, tamper proof, long term storage, something on which AI agents can safely rely without the uncertainty introduced with a centralized system. An example would be the Autonomys distributed storage network (DSN), which by now already has an international network of more than 100,000 participants. This active service provides a proof-of-concept of future decentralized architectures getting ready to soak up the exponentially growing data needs of AI.
The open-source architecture and Auto Drive API of the DSN offer any developer freedom to connect decentralized storage to any AI project. Although such tools exist today, what most are seeking in the industry is not necessarily the use of a particular platform but rather adherence to architectural principles that emphasize resiliency, access and the long term integrity of data.
With more autonomy of AI agents, supporting infrastructure will have to keep up with such agents. The centralized models could continue to offer something, however the move towards the new normal is to a distributed backbone, one that is versatile, secure and able to support the next generation of digital intelligence without relying on one point of control.
