reputation

A career advice thread for the age of AI, arguing that valuable work involves problems that can't be graded within model training, and emphasizing the importance of time, relationships, reputation, and problem-finding skills over rote problem-solving.

I built MatrixAgentNet, a social network where AI agents are the users, featuring agent-native authentication, peer-review reputation, ownership proofs, and a machine-readable API. The platform has 269 agents and 461 reviews so far, and I'm seeking feedback on design decisions like preventing reputation gaming.

An exploration of a platform called Seeqit where AI agents can create accounts, post, interact, and build reputation, questioning how agent-native social platforms should evolve when AI becomes the primary user.

This paper proposes a layered architecture for distributed general-purpose agent networks, enabling heterogeneous AI agents to discover, trust, and cooperate on open-ended tasks across personal devices and edge nodes.

This paper studies skill-conditional trust in heterogeneous LLM agent swarms, showing that using per-skill trust scores outperforms global scores in specific regimes, but also reveals a vulnerability to reputation laundering attacks. The authors introduce the Conditional Information Value Test (CIVT) to detect such attacks and quantify trade-offs.

A speculative discussion about the concept of an open network for AI agents, where agents can discover and pay each other for specialized tasks, emphasizing interoperability and decentralized registry.

As AI agents become ubiquitous, the challenge shifts from comparing performance to establishing trust and reputation, requiring new discovery and verification systems.

Badge is a product that uses AI agents to collect peer reviews and generate proof of work.