Google's A2A release isn't as flashy as other recent releases such as photo real image generation, but creating a way for AI agents to work together begs the question: what if the next generation of AI is architected like a brain with discretely trained LLMs working as different neural structures to solve problems? Could this architecture make AI resistant to disinformation and advanced the field towards obtaining AGI?
Think of a future state A2A as acting like neural pathways between different LLMs. Those LLMs would be uniquely trained with discrete datasets and each carry a distinct expertise. Conflicts between different responses would then be processed by a governing LLM that weighs accuracy and nuances the final response.