# Get Started

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## First Steps

Start contributing to the future of decentralized machine learning.

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### Get Familiar

The [Gensyn Testnet](https://www.gensyn.ai/testnet) is live and open to anyone, with *no waitlist* or *centralized approval.* Running a node lets you contribute compute, validate workloads, and participate in the coordination layer that powers decentralized AI.

* [ ] View [Smart Contracts](https://github.com/gensyn-ai/rl-swarm-contracts)
* [ ] Read about [RL Swarm](https://www.gensyn.ai/articles/rl-swarm)

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There are no official swarms running right now. Please check back later if you're interested in participating in a global, decentralised, crowd-sourced training run or feel free to join a community-owned swarm.&#x20;

Alternatively, explore [Delphi](https://docs.gensyn.ai/intelligence-market/what-is-delphi), the first live prediction market for machine intelligence.
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* [ ] Read the [Report](https://github.com/gensyn-ai/paper-rl-swarm/blob/main/latest.pdf)
* [ ] Browse the [GitHub repository](https://github.com/gensyn-ai/rl-swarm)
* [ ] Visit the [Gensyn Dashboard](https://dashboard.gensyn.ai/)
* [ ] Look at verified contributions on the [Block Explorer](https://gensyn-testnet.explorer.alchemy.com/)
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### Understanding Contributions

Each node, experiment, or conversation strengthens the global training network. The same principles that power decentralized compute, being *reproducibility*, *transparency*, and open *collaboration,* apply to every layer of Gensyn’s ecosystem.

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Everything you do supports the Gensyn Protocol, an open, verifiable network for machine intelligence built on four [Core Components](https://docs.gensyn.ai/core-components): **\[1]** execution, **\[2]** verification, **\[3]** communication, and **\[4]** coordination.
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### Join the Testnet

Join and begin contributing to the Testnet by setting up an [RL Swarm node](https://app.gitbook.com/s/IcazOdplbOmP4R0T7sG8/rl-swarm), training a ML model inside of Minecraft with [BlockAssist](https://app.gitbook.com/s/IcazOdplbOmP4R0T7sG8/blockassist), or teaching an assistant to code in [CodeAssist.](https://app.gitbook.com/s/IcazOdplbOmP4R0T7sG8/codeassist/using-codeassist)

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Run a Node</strong></td><td>Power the network by contributing compute. Every node you run helps train machine learning models collectively.</td><td><a href="https://app.gitbook.com/s/IcazOdplbOmP4R0T7sG8/rl-swarm">RL Swarm (Deprecated)</a></td></tr><tr><td><strong>Explore Research</strong></td><td>Dive into Gensyn’s open research library and learn how each discovery shapes the future of the protocol.</td><td><a href="https://www.gensyn.ai/research">https://www.gensyn.ai/research</a></td></tr><tr><td><strong>Join the Community</strong></td><td>Collaborate with other developers, researchers, and node operators on Discord. </td><td><a href="https://discord.gg/gensyn">https://discord.gg/gensyn</a></td></tr></tbody></table>
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If you need support, you can [open a ticket](https://github.com/gensyn-ai/blockassist/issues) or [visit our Discord.](https://discord.com/invite/gensyn)
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