Forget the Turing Test, AI’s real challenge is communication

While the increasing development of strong artificial intelligence models leads the headlines, the great challenge is to get smart agents to communicate.

Currently, we have all these able systems, but they are all speaking different languages. It is a digital tower for Babylon, and it hinders the true potential of what artificial intelligence can achieve.

To move forward, we need a common tongue; A global translator that allows these different systems to communicate and cooperate. Many competitors went up to the painting, each with their own ideas on how to solve this conquest.

The model context of the anthropor, or MCP, is one of the big names in the ring. It tries to create a safe and organized method for artificial intelligence models to use external tools and data. The MCP has become common because it is relatively simple and has a player’s support for artificial intelligence. However, it has been truly designed for one AI to use different tools, not for a team of AIS to work together.

This is where the worker’s connection protocol (ACP) and the agent protocol come to the agent (A2A).

ACP, an open source project from IBM, is everything about enabling artificial intelligence agents to communicate as peers. It is based on the familiar web techniques that the developers are already comfortable, making it easy to adopt. It is a flexible and strong solution that allows a more central and cooperative approach to artificial intelligence.

Google, at the same time, takes a little different game. He is designed to work alongside MCP, instead of replacing it. A2A focuses on how AIS team works together on complex tasks, and passes the information and responsibilities back and forth. The “agent cards”, such as digital work cards, uses AIS to find and understand each other.

The real difference between these protocols is their vision for the future of how artificial intelligence agents communicate. MCP is intended for a world where strong artificial intelligence is in the center, using a variety of tools to accomplish matters. The A2A and A2A are designed for distributed intelligence, where the specialized AIS teams work together to solve problems.

International language for Amnesty International will open the door to a completely new world of possibilities. Imagine a team of AIS working together to design a new product, with one agent that deals with market research, the latest design, and the third manufacturing process. Or a network of medical artificial intelligence that cooperates to analyze the patient’s data and develop customized treatment plans.

But we are not there yet. “Protocol wars” in full swing, and there is a real danger that can end up with more crumbs than we have now.

It is possible that the future of how artificial intelligence continues a single solution that suits everyone. We may see different protocols, each of which is used for what it does better. There is one certain thing: discovering how to make AIS to talk to each other is one of the wonderful challenges in this field.

(Theodore Pressite)

See also: Man publishes artificial intelligence agents to review models for safety

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