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2 changes: 1 addition & 1 deletion docs/masa-subnet/welcome.md
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title: Welcome to Masa Bittensor Subnet
---

The Masa Bittensor Subnet is a specialized subnet where validators reward miners based on their ability to provide Twitter data. Requests made through the Validator API are forwarded to the miners, who use the Masa protocol to execute the work. Work is then scored by the validators, and valid reponses are returned through the API.
The Masa Bittensor Subnet is a specialized subnet where validators reward miners based on their ability to provide Twitter data. Requests made through the Validator API are forwarded to the miners, who use the Masa protocol to execute the work. Work is then scored by the validators, and valid responses are returned through the API.

To get started, follow the below documentation depending on what neuron you intend to run:

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2 changes: 1 addition & 1 deletion docs/resources/miner-scoring.md
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Expand Up @@ -47,7 +47,7 @@ Our scoring system would likely rank them: Carl > Alice > Sam. Carl's consistenc
- Organic tweets are currently not scored.

:::warning
Attempts to game the system through sporadic bursts of activity are unlikely to result in high scores. Additionaly validators spot check miners tweets using tweet IDs against the Twitter API to ensure the tweets are real and not duplicate tweets.
Attempts to game the system through sporadic bursts of activity are unlikely to result in high scores. Additionally validators spot check miners tweets using tweet IDs against the Twitter API to ensure the tweets are real and not duplicate tweets.
:::

## Conclusion
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2 changes: 1 addition & 1 deletion docs/resources/miner-validation.md
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Expand Up @@ -26,7 +26,7 @@ If a miner does _not_ pass the spot check, they are assumed malicious and are gi
:::

:::note
If a miner _does_ pass the spot check, the validator then goes through each "Tweet" of the miner's repsponse, and validates that it _looks like_ a Tweet. Validators use an `all-MiniLM-L6-v2` LLM model to confirm that each Tweet passes a similiarity test, i.e. looks similar enough to an example Tweet. Only those Tweets that pass are considered valid.
If a miner _does_ pass the spot check, the validator then goes through each "Tweet" of the miner's repsponse, and validates that it _looks like_ a Tweet. Validators use an `all-MiniLM-L6-v2` LLM model to confirm that each Tweet passes a similarity test, i.e. looks similar enough to an example Tweet. Only those Tweets that pass are considered valid.
:::

## Conclusion
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