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Two AI’s started chatting with one another in a new Bot language

Human communication isn't efficient, this new protocol though now means AI can talk much faster and efficiently by using their own new language.

Key takeaways

  • Imagine if two Artificial Intelligence’s (AI) could chat with each other in a language no human could understand.
  • In fact, the earliest demonstrations of powerful large language models from Google showed off how such AIs could easily fool human callers.
  • See what they get up to Developers at the ElevenLabs 2025 Hackathon recently demonstrated GibberLink.
Cite or link to this article

Griffin, M. (2025) 'Two AI’s started chatting with one another in a new Bot language', 311 Institute, 15 June. Available at: https://www.311institute.com/two-ais-started-chatting-with-one-another-in-a-new-bot-language/ (Accessed: 1 October 2026).

Update, October 2026: The demo, known as GibberLink, won first place at an ElevenLabs and a16z hackathon in February 2025. The agents were prompted to switch to the ggwave data-over-sound protocol; they did not invent a language of their own. Agent-to-agent communication is now moving to open standards such as the Model Context Protocol and the Agent2Agent protocol, both looked after by the Linux Foundation.

Imagine if two Artificial Intelligence’s (AI) could chat with each other in a language no human could understand. Well, this has happened a few times now by accident, but now, following on from a group of researchers who developed specific languages that military drones could talk to one another in called Droidish, AI’s now have their own “official” language as well. And it’s much more efficient than human language.

If you've called customer service in the last year or so, you've probably chatted with an AI. In fact, the earliest demonstrations of powerful large language models from Google showed off how such AIs could easily fool human callers. There are now so many AI chatbots out there handling customer service that two of them are bound to dial each other up, and now, if they do, they can do it in their own special, sonic language.

See what they get up to

Developers at the ElevenLabs 2025 Hackathon recently demonstrated GibberLink. Here's how it works, according to a demonstration they provided on YouTube.

Two AI agents from ElevenLabs, one of the best speech synthesis startups, call each other about a hotel booking. When they realize they are both AI assistants, they switch to a higher-speed audio communication called GGWave. According to a post on Reddit, GGWave is "a communication protocol that enables data transmission via sound waves."

In the video, the audio tones that replace spoken words sound a bit like old-school modem handshake protocols.

It's hard to say if GGWave and Gibberlink are any faster than speech, but the developers claim the GGWave is cheaper because it no longer relies on the GPU to interpret the speech and can instead rely on the less resource-intensive CPU.

The group shared their code on GitHub in case anyone wants to try building this communication protocol for their own chatting AI chatbots.

Since these were ElevenLabs AI Agents, there's no indication that GibberLink would work with ChatGPT or Google Gemini, though I'm sure some will soon try similar GGWave efforts with these and other generative AI chatbots.

A pair of AI assistants "speaking" their unintelligible language sounds like a recipe for disaster. Who knows what these chatbots might get up to? After they're done booking that hotel room, what if they decide to empty the user's bank account and then use the funds to buy another computer to add a third GGWave "voice" to the mix?

Ultimately, this is a cool tech demonstration that doesn't have much purpose beyond proving it can be done. It has, though, succeeded in making people a little nervous.

311 Intelligence

What this means for your organisation

A demo, not a new language.

The agents in GibberLink were prompted to switch to the ggwave protocol. They did not invent a language of their own. GGWave sends small amounts of data between nearby devices using only a speaker and a microphone.

Open standards are taking over.

Agent to agent communication is now moving to the Model Context Protocol and the Agent2Agent protocol. The Linux Foundation looks after both. Our data puts agent communication protocols at wide use by 2027, so this is a time to act.

Customer service needs new rules.

Many chatbots already handle customer service, so two of them will end up calling each other. The developers say GGWave is cheaper because it uses the CPU, not the GPU. It is unclear if it is faster, so leaders should set oversight rules before agents talk unattended.

Three questions for your next leadership meeting

  1. Where could our agents end up talking to another firm's agents?
  2. Which open standards should our agent projects follow from the start?
  3. Who checks what our agents agree or spend when no human is listening?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

Human communication isn't efficient, this new protocol though now means AI can talk much faster and efficiently by using their own new language.

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity programme, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. Youtube techradar.com
  2. a post on Reddit reddit.com
  3. making people a little nervous threads.net

Source: first published by the 311 Institute on 15 June 2025. Cite as: Griffin, M. (2025). Two AI’s started chatting with one another in a new Bot language. 311 Institute. https://www.311institute.com/two-ais-started-chatting-with-one-another-in-a-new-bot-language/

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