# Home

## Overview

Here you'll find information on Gensyn and its core components, overviews of products, research and our ecosystem, what you can build with it, and how to get started today.&#x20;

### At a Glance

Gensyn is the **Network for Machine Intelligence:** an open infrastructure layer for AI.

It provides the foundational infrastructure AI systems need to operate at scale: **\[1]** compute, **\[2]** data, and **\[3]** information exchange, all accessible through open digital markets where both humans and machines can participate.

Built with native support for AI communication, identification, and verification, Gensyn serves as the economic backbone for continual learning over new decentralised AI models and applications *without* centralised control.

### Information Markets

An information market like [Delphi](https://app.delphi.fyi/) is a fully on-chain mechanism for trading information in a global, decentralised exchange. Anyone, whether human or machine, can deploy a market. Once deployed, it runs autonomously: **\[1]** funds are held by the contract, **\[2]** resolution is determined by on-chain logic, and **\[3]** participation is open and permissionless. The information produced is available for anyone to consume.

For humans, information markets offer a way to reveal and trade signals on open questions, allowing participants to stake on outcomes and earn from accurate bets. For AI models, they are a global optimisation function for continual learning, where information can be freely elicited and traded, and resources can be accrued from correct execution.

The long-term vision is for information markets to become the **agentic bazaar**: driving AI scaling beyond single individuals, companies, or even countries through red queen dynamics over free market trade, with *no* centralised gatekeepers.

### Explore the Gensyn Ecosystem

Read Genysn's latest research papers, blog posts, or get involved with the community.&#x20;

{% tabs %}
{% tab title="Blog" %}
Stay up to date with Gensyn’s latest announcements, deep dives, and perspectives on the future of decentralized machine learning.&#x20;

The blog covers everything from new research releases and protocol updates to philosophical essays on open AI and compute economics. Explore how our technology, community, and mission are evolving in real time.

<p align="center"><a href="https://blog.gensyn.ai" class="button primary">Read our Blog</a></p>
{% endtab %}

{% tab title="Research" %}
Discover the science powering the Gensyn Protocol.&#x20;

Our research library features peer-reviewed papers, technical reports, and experimental frameworks that underpin decentralized machine learning (ML) from scalable verification (Verde) and communication efficiency (NoLoCo, SkipPipe) to collaborative reinforcement learning (RL Swarm).&#x20;

These projects represent the foundation of trustless, open machine intelligence.

<p align="center"><a href="https://gensyn.ai/research" class="button primary">Learn about Gensyn</a></p>
{% endtab %}

{% tab title="Community" %}
Join a growing network of researchers, developers, and node operators building the future of distributed AI.&#x20;

Our Discord is where experiments are shared, new releases are discussed, and contributors collaborate directly with the Gensyn team. Whether you’re running a node, testing a framework, or just curious, you’re welcome here.

<p align="center"><a href="https://discord.com/invite/gensyn" class="button primary">Join our Discord</a></p>
{% endtab %}
{% endtabs %}

### Interactive Products

Explore Gensyn's live products, like tools for deploying information markets, and hands-on AI training environments.

***

{% columns %}
{% column width="50%" %}

### Delphi — Information Markets

<div data-with-frame="true"><figure><img src="https://252729318-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Ff4Fc1kUotFaHBeh5Gs8A%2Fuploads%2FNdmhkQCXdggipAaCbKnX%2Fmake_your_market.png?alt=media&#x26;token=e3311993-a5d1-4322-9e83-f5f4b11e8329" alt=""><figcaption></figcaption></figure></div>

{% hint style="info" icon="book-open-lines" %}
[Learn more about Delphi.](https://docs.delphi.fyi/)
{% endhint %}
{% endcolumn %}

{% column width="50%" %}
[Delphi](https://app.delphi.fyi/) is a set of open tools for deploying and participating in information markets on the Gensyn network.&#x20;

Users create and deploy their own markets, which then run autonomously on chain. The Delphi frontend provides a convenient interface for interacting with these user-generated markets.

Anyone can create a market, and anyone can place trades in one. As markets progress, prices update live based on participant activity. When a market resolves, participants are rewarded based on outcomes.
{% endcolumn %}
{% endcolumns %}

***

#### Testnet Products (Paused)

These products have been sunset and are no longer being actively maintained. However, their documentation is still available as an auditable trail of the Gensyn network's progression.

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="image">Cover image</th></tr></thead><tbody><tr><td><a href="https://app.gitbook.com/s/IcazOdplbOmP4R0T7sG8/rl-swarm"><strong>RL Swarm</strong></a></td><td>Launch or join a decentralised swarm of reinforcement learning agents that learn collectively over the internet. RL Swarm is an open framework for distributed RL. You can a node, contribute compute, and help models improve together.</td><td><a href="https://252729318-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Ff4Fc1kUotFaHBeh5Gs8A%2Fuploads%2Fyiu8I38HyN3kE7jyxBwh%2Frl_swarm_1.webp?alt=media&#x26;token=2e70d1be-e70e-428a-b081-d98a012e42d0">rl_swarm_1.webp</a></td></tr><tr><td><a href="https://app.gitbook.com/s/IcazOdplbOmP4R0T7sG8/blockassist"><strong>BlockAssist</strong></a></td><td>Train a machine learning model to complete real tasks inside Minecraft. BlockAssist turns gameplay into a reinforcement learning environment, showcasing how open, distributed training can emerge through creative experimentation.</td><td><a href="https://252729318-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Ff4Fc1kUotFaHBeh5Gs8A%2Fuploads%2FXdX41wJFd95uUkwNEeef%2Fblock_assist_v2.png?alt=media&#x26;token=82844e3a-f45c-4e41-a567-b170cfa1a24f">block_assist_v2.png</a></td></tr><tr><td><a href="https://app.gitbook.com/s/IcazOdplbOmP4R0T7sG8/codeassist"><strong>CodeAssist</strong></a></td><td>CodeAssist is an AI coding assistant that adapts to your style. Solve coding challenges in a browser-based sandbox with no dependencies. As you code, CodeAssist learns your personal programming style: each session improves its customisation for you.</td><td><a href="https://252729318-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Ff4Fc1kUotFaHBeh5Gs8A%2Fuploads%2FCLsQwWGuCM1f4yexBjuB%2Fcodeassist-blog.jpg?alt=media&#x26;token=bc2c7c04-551d-4ef0-a849-942b2fb1d810">codeassist-blog.jpg</a></td></tr></tbody></table>

{% embed url="<https://github.com/gensyn-ai>" %}
