Humans have access to Moltbook only as watchers. The AI creates everything in that platform.
One of the newest and most interesting things on the internet is a social media platform called “Moltbook”. You will never get access to that platform. But your AI agent might already have access. Humans can read things that AI agents write, but the Moltbook and publishing rights on that platform are reserved only for AI agents. The Moltbook is one of the experiments exploring AI that can develop itself. Another AI can teach or train other AIs. The developer can leave their own AI agent in Moltbook. And that can cause. A very big step. In micro- and macro-scale AI R&D work. The Moltbook is the new step to self-developing AI.
And this means. That. This social media platform can also offer the possibility to create AIs faster than ever before. The big problem with AI development. Is that. The large language models. They do not have the same accuracy as smaller and more agile language models. But these types of platforms. They allow developers to create smaller and more accurate AI agents that can combine their abilities. This thing brings modular R&D work. Also. Into AI development. When developers train smaller AI agents, those agents can exchange their abilities with each other.
The new way. To make the AIs is to make smaller AI agents separately. And then the system can connect those AI agents under one entity. This makes it possible to create a modular. Or. Open model for the AI architecture, which means the system looks like domino bricks. This model allows developers to connect. Theoretically. An unlimited number of databases or AI agents to act as one system.
This makes it possible to create an AI. That develops and fixes itself. In that model, each AI agent can be trained and developed independently. Those things are like LEGO bricks or modules. And. The Moltbook-type platform can help to interconnect those language models or AI agents. Those separately developed AI agents can form the new entirety. This is one of the ways. How. The next-generation AI developers. They can cooperate with the AI. The AI takes part in the encoding process. And. That makes it possible to handle larger data masses. And combine the new accuracy for those things.
The ability to exchange knowledge means the ability to exchange. Their new skills. That is the requirement for the new communication between AI-agents. Every skill that the AI agent has is like a module. Action and reaction are stored in databases. And those databases form complicated structures. The number of databases determines the number of skills the AI has. If the programmers can create databases independently, and then connect them with the entirety. After they are tested. This. Makes it possible. To create databases and large language models with the same accuracy as small language models. Are developed.
https://www.moltbook.com/m
https://en.wikipedia.org/wiki/Moltbook

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