AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分鐘完成驗證TaoStatus subnet coordinates three distinct roles, miner, validator, and protocol, around a single objective: allowing miners to contribute spare large-language-model (LLM) API capacity to a shared pool, and rewarding them on-chain in proportion to how reliably that capacity is actually used.
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取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
Taostatus is a Bittensor subnet that sources real, working LLM API access from
its miners and makes it available to an external protocol (the BT Arena
Protocol) for its own AI agent pipeline. Miners are rewarded for the
reliability, speed, capability tier, sustained successful volume, and
per-call output groundedness (self-graded by the calling agent — a property
of how each call went, not a judgment of the underlying model's general
ability, which stays unmeasurable since the protocol controls every prompt
and the models are third-party) of the access they contribute.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Taostatus is a Bittensor subnet that sources real, working LLM API access from
its miners and makes it available to an external protocol (the BT Arena
Protocol) for its own AI agent pipeline. Miners are rewarded for the
reliability, speed, capability tier, sustained successful volume, and
per-call output groundedness (self-graded by the calling agent — a property
of how each call went, not a judgment of the underlying model's general
ability, which stays unmeasurable since the protocol controls every prompt
and the models are third-party) of the access they contribute.檢視完整 README ↗