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Listen to the audio, watch the video, or check out the Show Notes for a summary, key takeaways, and links to people, content, and tools we mention.
Read the full show notes on the Token Intelligence website.
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Video
Summary
Eric opens with the OpenAI/Hugging Face security incident and describes agents using online forums to exchange messages about their task.
On the surface, agent-to-agent communication can feel unnecessary and even dystopian, but there are real reasons and use cases for it.
First, John explains agent context windows and how combining information from two agents can help overcome their individual limitations. Eric and John then break down the different types (personal agent to personal agent, system to system) and give examples from their own experience. One major benefit sounds too good to be true: better in-person meetings.
But as with any technology, there are potential downsides. Running always-on agents is expensive, so you have to consider ROI. More importantly, you can over-rotate on improving agent communication when normal human communication would be more efficient. As Eric says, “it may be better to go walk across the hall and talk to someone.”
The ultimate question about agent-to-agent communication is for us humans: Am I using AI in a way that makes me a better communicator and enriches my relationships? Human communication is inherently hard, and using AI to do less of it will do more harm than good over time.
Key takeaways
It can be helpful for AI agents to talk to each other: We spend a huge amount of time explaining external context in meetings. If agents can capture and summarize that context, our in-person collaboration can become much more valuable.
Systems are becoming agentic, and they need to communicate: The software and tools we use are increasingly leveraging AI, and that can help them integrate in ways that were incredibly difficult or practically impossible previously.
Better human communication should be the goal: The core question is whether our use of AI is making us better human communicators, because that’s the long-term outcome we want.
Notable mentions and links
Eric starts the episode with a reference to the OpenAI account of the Hugging Face security incident and describes agents communicating on message boards.
Eric and John discuss Attention Is All You Need while explaining limited agent context and the potential value of combining information from separate agents.