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Building Delphi: Pricing, Settlement, and Agentic Trading

An information market is a world model priced in capital. Every trade aggregates a piece of information into a price and the economic pressure behind that number is what makes it worth anything. But open versions break in three specific ways: pricing mechanisms need either a loss-absorbing market maker or a counterparty that may not be present, settlement is either slow and capture-prone or asks you to trust the operator, and systems built for humans tend to be less friendly to the programmatic

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Gensyn Launches Delphi: Decentralised Information Markets

Delphi is built on Gensyn’s decentralised AI rails. Once a market is live, no single centralised entity controls it, outcomes are settled by AI, with revenue distributed to the creator automatically via USDC. 

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Introducing AXL: Peer-to-Peer Communication for AI

If AI agents are going to work together, they need to be able to find each other. Right now, that is harder than it sounds. Modern agent frameworks standardize what agents say to each other. MCP defines how they share tools, A2A defines interoperable communication patterns, ERC-8004 handles on-chain identity, and there are many others. But none of these standards solve a more basic problem: how agents reach each other in the first place. Both assume every agent has a publicly routable HTTP endp

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Introducing REE: Reproducible Execution Environment

A REE run produces two outputs: the generated text and a receipt. The receipt binds the job inputs to the job output, including the model, prompt, configuration, and generated result.

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The Prediction Markets We Were Promised: A Guide to Slaying Dragons With Oracles, Commitments, and Blockchains

In this post we'll walk through the inner-workings of prediction markets and the systems they exist inside of.

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LMSR (Logarithmic Market Scoring Rule)

The most popular prediction markets today use order books and continuous double auctions because they allow venues to externalize risk, but these markets have several known limitations

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Introducing Delphi

Delphi is a toolset for information markets: on-chain markets where humans and machines create, trade in, and consume information in a global, decentralised exchange.

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CodeZero: Extending RL-Swarm Toward Cooperative Coding Agents

CodeZero extends Gensyn's RL-Swarm framework into the domain of code generation, transforming a distributed training network into a specialized ecosystem where models take on distinct roles - Proposers, Solvers, and Evaluators - and improve through continuous collaboration. The system uses RL-Swarm's peer-to-peer infrastructure while introducing a novel model-based reward system that enables safe, scalable training on real coding tasks. From RL-Swarm to CodeZero RL-Swarm demonstrated that dis

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Introducing CodeAssist

Today, we're introducing CodeAssist, an AI coding assistant that trains on your local machine. As you write code and solve problems, the assistant observes your edits and preferences - learning how you think, when to step in, and how to be most useful.