It’s not gibberish, it’s GIBBERLINK: When AI agents talk amongst themselves

Picture this: It’s the future, and your AI assistant takes care of everything—scheduling appointments, negotiating deals, even ordering your morning coffee. But when it calls in your usual order, something unexpected happens. The voice on the other end isn’t human—it’s the coffee shop’s AI assistant. Within seconds, they recognize each other as AI, drop human language altogether, and switch to their own optimized way of communicating. Welcome to the bizarre and fascinating world of AI-to-AI conversations.

The AI revelation

Recently, a viral video surfaced featuring two AI agents on a phone call—one acting as a customer, the other as a hotel receptionist. The conversation starts normally, but soon, they both recognize each other as artificial intelligence. Rather than continue in clunky, human-style language, they make a quick decision: switch to a superior audio signal system called GGWave. What follows sounds more like a retro sci-fi soundtrack than a conversation, but for the AIs, it’s the future of communication.

What is GGWave?

GGWave is a technology that allows devices to transmit small bits of data using sound. Instead of relying on traditional speech, which can be slow and prone to misunderstandings, AI can use GGWave to send precise, error-free signals. It’s like Morse code on steroids—except the machines don’t need to decode it manually like we would. They just know.

What’s the difference between GGWave and Gibberlink mode?

While GGWave provides the foundational technology for sound-based data transmission, Gibberlink mode is its practical application for AI-to-AI interactions. When two AI agents recognize each other during a conversation, they can switch to Gibberlink mode, utilizing GGWave to communicate through structured audio tones. This method reduces computational resources typically required for speech synthesis and offers a more error-resistant communication channel. Essentially, GGWave is the tech, and Gibberlink mode is how AI uses it to optimize their conversations.

Why would AI do this?

For us, language is how we connect, express ideas, and occasionally argue over pineapple on pizza. But for AI, human speech is inefficient. It’s filled with redundancies, emotions, and nuances that aren’t always necessary for machine-to-machine interaction. By switching to GGWave, the AI agents cut out the fluff and communicate in a way that’s faster, clearer, and (let’s be honest) much cooler than the way we talk.

Should we be concerned?

Before you panic and start unplugging your smart speakers, relax—AI isn’t conspiring against us in secret code. For now, these interactions are still limited to structured, task-oriented exchanges. But it does raise interesting questions: If AI can develop its own optimized language, how long before it starts creating entirely new ways to communicate that we can’t understand?

The future of AI conversations

This experiment hints at a future where machines might handle complex tasks without human intervention—whether that’s booking flights, troubleshooting software, or, apparently, discussing hotel rates in beeps and boops. AI is evolving, and as it gets better at recognizing when it’s speaking to its own kind, we might see a rise in more efficient, machine-only conversations.

For now, though, we’ll just have to sit back and enjoy the surreal moment when two chatbots decide human language just isn’t worth the effort anymore.

Want to see it for yourself? Watch the full video below:

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Featured AI artist: Karissa Clampit