News
Our opinions on decentralised AI, our infrastructure & apps, and the Gensyn ecosystem.

News
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…
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News
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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News
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,…
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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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Guide
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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Guide
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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News
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…
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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.
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