Building Delphi: Pricing, Settlement, and Agentic Trading
An information market is a world model priced in capital. Every trade
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.
Introducing AXL: Peer-to-Peer Communication for AI
If AI agents are going to work together, they need to be
Backdoor in the Middle: Attacking Pipeline Parallelism
Most works on adversarial robustness in distributed training focus on data parallelism, e.g., poisoned gradients, malicious clients, or aggregation attacks. Pipeline parallelism has a different attack surface. Here, the model itself is partitioned across nodes.
Stop Multitask Training. Just DUME.
Dynamic Upcycling MoE (DUME) cleverly reuses dense experts trained on different domains to create a unified MoE multidomain expert model. DUME retains the knowledge of the original dense experts without any additional training, offering a cost-effective, scalable solution with no compromises.
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.
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.
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
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.
Prediction Markets are Learning Algorithms
In this piece we’ll unpack this similarity and reveal that, in many cases, they are formally equivalent in a strong sense. We’ll discuss which classes of prediction markets are mathematically identical to standard online learning...
Verde Verification System In Production
In this blog post, we dive into the landscape of verification methods, discuss their advantages and drawbacks, and explain our method, Verde.
From Bundles to Time: A Theory of Decentralised Compute Markets
We present a decentralised two-sided market design that treats compute as a time‑bound asset, enabled by reproducibility, verification, and checkpointing, yielding dynamic pricing and simple matching without combinatorial auctions.