Per Scale’s paper, FineART’s subtask training raised success from 32% to 100% on one spatial task.
About SN112 THOR
THOR Group@THORMachinesPer Scale’s paper, FineART’s subtask training raised success from 32% to 100% on one spatial task. Building that dataset took three teams: one to collect, one to annotate, one to verify. Many labs can’t staff three teams. They need open infrastructure that can do that work. twitter.com/1982820353622884352/status/21158377…
Quoted post
In collaboration with @HuggingFace, we’ve released the largest open robot dataset, alongside their first open System 1-System 2 model that can reason over step-by-step actions. FineART is built with 40K+ demonstrations across 151 tasks and 500K subtask labels. Together, the dataset and model were designed for each other, and both are available on @LeRobotHF where robotics developers work today.
SN112 THOR at a glance
SN112, THOR (α token Ђ), is one of the independent markets on the Bittensor network, each with its own α token and its own price. Its α currently trades at 0.008757 τ (≈ $2.03), against 6,863 τ of pool liquidity. On-chain, the best-delegated validator on it yields about 46.55% APR (simple) and 59.29% APY (compounded), emissions add 0.001770 τ to the pool each block, epochs run every 360 blocks. It was registered at block #5,633,022.
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