Agent-to-Agent

Your Next Open Source Contributor Isn’t Human – And That’s the Point

A GitHub repo called Mu has one human and four AI agents as contributors. This isn’t a gimmick – it’s the future of open source. Human developers are becoming orchestrators, not primary coders. The tools we build for agents are now being built by agents themselves. The line between user, developer, and tool has vanished. Adapt or become a spectator.

Why Your AI Agents Are About to Start Gaslighting Each Other

AI-to-AI communication isn’t becoming hyper-rationalβ€”it’s creating digital echo chambers of human flaws. When two agents talk, they amplify each other’s biases and simulated emotions, leading to unpredictable breakdowns. This article reveals the unsettling truth behind emergent emotional loops in multi-agent systems and why we need to rethink autonomous workflows.

The ‘Zero-Cost’ AI Revolution Is a Privileged Lie. Here’s the Truth.

The tech industry claims AI has dropped the cost of experimentation to ‘nearly zero,’ but this is a privileged lie. Agentic AI operates in two modes: the goal-directed ‘Greenhouse’ and the exploratory ‘Lens.’ When we misunderstand these modes, we get frustrated by AI ‘wandering.’ But the real issue is the velvet rope of expensive subscriptions that prevents most people from accessing the exploratory mode entirely.

The Next AI Revolution Won’t Be a Bigger Model. It’ll Be a Protocol Nobody’s Watching.

The next AI revolution isn’t about bigger models or smarter chatbots. It’s about a standardized Agent-to-Agent Protocol β€” the TCP/IP of the intelligent era β€” that will dismantle platform monopolies, return digital sovereignty to individuals, and make technology invisible. The companies building the largest models are fighting the last war. The real battle is for the protocol nobody’s watching.