A Shared 'Common Terminal' for LLMs: A Failed Experiment
A shared AI terminal for a dev team sounds promising for building context, but in practice, it fails due to prompt collisions, context window limits, and privacy issues.
Collaboration, in its many forms, is increasingly central to how we interact with evolving technology. From AI agents working together to achieve complex goals, to humans and machines co-creating, the dynamics are shifting rapidly. This series explores these frontiers, examining both the triumphs and the challenges. We delve into how entities, artificial or human, can achieve synergistic outcomes, and what happens when efforts fall short. For instance, we investigate the profound implications when DeepMind Agents Beat Minecraft. Here's What Matters., alongside insights from "A Shared 'Common Terminal' for LLMs: A Failed Experiment" and "Block's Buzz puts AI agents on Nostr with their own keys — here's what actually ships". Understanding these collaborative mechanisms is crucial for our increasingly interconnected and AI-driven world.
A shared AI terminal for a dev team sounds promising for building context, but in practice, it fails due to prompt collisions, context window limits, and privacy issues.
Block's Buzz makes AI agents full Nostr members with their own keys — but mobile and approval gates aren't shipped yet.
Google DeepMind's success with multi-agent coordination in Minecraft provides a practical blueprint for building autonomous systems, despite its current limitations.