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Updated 12:39 AM UTC

SN81Patrol (TAO.com)

$1.60

$0.022

(1.39%)

Today

Mkt Cap$6.81M

Vol1.32M

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Bullish/Bearish Forum Sentiment

Indicates whether most users posting on a crypto’s stream over the last 24 hours are bearish or bullish.

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Message Board Activity

Measures the total amount of chatter on a stream over the last 24 hours.

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1 day ago

1 week ago

1 month ago

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Discussion Diversity

Measures the number of unique accounts posting on a stream relative to the number of total messages on that stream.

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AboutGrail operates as subnet 81 on the Bittensor network, serving as the reinforcement learning fine-tuning and post-training layer of the Covenant AI ecosystem. The project implements the GRAIL protocol (Guaranteed Rollout Authenticity via Inference Ledger) to provide cryptographically verifiable model outputs during reinforcement learning rollouts. Grail transforms foundation models from pre-training subnets into deployable, aligned AI systems through permissionless, incentivized RL fine-tuning infrastructure. The platform generates thousands of rollouts per second using custom algorithms designed for post-training optimization. The subnet supports models ranging from 8B to 70B+ parameters and integrates with multiple RL environments for diverse training scenarios.

Details

Source

GitHub

Fundamentals

Mkt Cap

$6.81M

24H Volume

$1.32M

7D High

$1.62

FDV

$6.81M

Circ Supply

4.26M

Total Supply

4.26M

Max Supply

21M

24H High

$1.60

24H Low

$1.55

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Info

Source codeGitHub

CategoriesArtificial Intelligence (AI), +2 more

About

Grail operates as subnet 81 on the Bittensor network, serving as the reinforcement learning fine-tuning and post-training layer of the Covenant AI ecosystem. The project implements the GRAIL protocol (Guaranteed Rollout Authenticity via Inference Ledger) to provide cryptographically verifiable model outputs during reinforcement learning rollouts. Grail transforms foundation models from pre-training subnets into deployable, aligned AI systems through permissionless, incentivized RL fine-tuning infrastructure. The platform generates thousands of rollouts per second using custom algorithms designed for post-training optimization. The subnet supports models ranging from 8B to 70B+ parameters and integrates with multiple RL environments for diverse training scenarios.

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