# Knowledge mining beta program

The Knowledge mining beta program is intended to kick-start knowledge mining capabilities through an iterative process of **crowdsourcing knowledge** for decentralized artificial intelligence (AI) through NeuroWeb blockchain and NEURO token. During the beta knowledge mining program, a token pool of **200,000 NEURO** will be made available for miners contributing knowledge.

The knowledge mining beta program aims to feed learnings on the various approaches to incentivising knowledge mining via the NeuroWeb blockchain, ultimately implementing knowledge mining capabilities in production.

The beta program was focused on Art knowledge mining.

## Art Knowledge Mining

Compete for your part of the **200,000 NEURO** rewards pool among the vibrant community of artists that are adding their creations to the OriginTrail Decentralized Knowledge Graph as the first group of Knowledge miners.

{% hint style="danger" %}
Art knowledge mining is closed. Scroll down to check the final leaderboard of knowledge miners who contributed their art.
{% endhint %}

### Art Knowledge Mining via X

To get started with knowledge mining for art on X, you can utilize the @ChatDKG X bot.\
\
To mine knowledge, you can use the following commands:

* ***/mint*** command, which creates a new [Knowledge Asset](https://docs.origintrail.io/decentralized-knowledge-graph-layer-2/dkg-basic-concepts#what-is-a-knowledge-asset) from an existing image
* ***/imagine*** command, which creates a derivative art piece and corresponding Knowledge Asset from a provided art Knowledge Asset, with an appropriate connection in the DKG

To use the /mint command, simply tweet:

<pre data-overflow="wrap"><code><strong>/mint @ChatDKG [Artwork Name] | [Description] | [Artform] | [Author Name] | [Image URL]
</strong></code></pre>

<figure><img src="/files/LmdlXftzgGrr8p9fKKRV" alt="" width="375"><figcaption></figcaption></figure>

To use the /imagine command, simply tweet:

{% code overflow="wrap" %}

```
/imagine @ChatDKG [UAL of original artwork] | [Prompt for the new image] | [New artwork name] | [New artwork Description] | [Author Name]
```

{% endcode %}

<figure><img src="/files/BcFIHG1bxO6NG1Cwe7uu" alt="" width="375"><figcaption></figcaption></figure>

## Leaderboard

<figure><img src="/files/P6K9b9OA5FwYCmXRxKpb" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.neuroweb.ai/knowledge-mining/knowledge-mining-beta-program.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.