Introducing Cross Domain Artificial Intelligence (CDAI)

Let’s consider something new: Cross Domain Artificial Intelligence (CDAI). Unlike today’s typical AI interactions—where you visit a single domain (for example, chatgpt.com), input a prompt, and receive a response—CDAI involves a request that moves across multiple domains before delivering a coherent result to the user.

What is CDAI?

In a CDAI scenario, you might make a request on one website, but the underlying processing hops between various domains. The final response you see is the result of multiple processes working together behind the scenes.

Key Characteristics of CDAI

• Black Box Nature
  
  • Opaque Processing: When you send an AI request that could involve CDAI, you have no insight as to how the process works. Unlike a simple function call where you know exactly how the input translates to the output, here you can’t tell how many “hops” your request went through or which other AI systems were consulted.
  
  • Lack of Fixed Input/Output Quality: The process may yield variable results because the system doesn’t operate as a straightforward, deterministic function.
  
  • Variable Processing Duration: AI requests sometime take a long time. Since they move across multiple domains, in a CDAI request, the total processing time isn’t fixed. The solution today is to hold open HTTP requests, and to trap the user on a single domain with some kind of animation widget.
  
  • User Experience Solution: To manage user expectations, interfaces often display a “thinking” animation or progress indicator while waiting for the response.

Cacbot

Cacbot addresses CDIA using the WordPress comment system asynchronously. Here’s how it works:

  • A user posts a comment on a Cacbot Conversation, and the comment is immediately published on the WordPress site.

  • The comment is then “sent up” to an AI – whether that’s another domain, cacbot.com, a local AI, or chat-gpt etc., it doesn’t matter. Once it is sent, the originator doesn’t have any way of tracing the CDAI request.

  • Once the AI processes the request, the response is sent back to the WordPress site via its built-in API.

  • This design allows the system to handle very large, lengthy, multi-domain processes without making the user wait indefinitely in uncertainty.
By thinking beyond a single-domain paradigm, CDAI opens up new possibilities for distributed and modular AI processes. It challenges our conventional ideas about how and where AI operates, paving the way for more flexible, scalable, and robust AI systems in the future.

Is WordPress the future of AI?

True Artificial General Intelligence (AGI) will arise when most humans contribute—when collective knowledge fuels AI’s growth. WordPress, as a nearly ubiquitous human publishing platform, is the gateway for many to share their knowledge. By integrating AI into WordPress, we can harness this vast reservoir of human insight, democratizing AI development. The future of AI isn’t just about advanced models—it’s about leveraging humanity’s collective intelligence through platforms like WordPress.