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Subnet ownership moved from 5HDswRwsoc9xfzpQRD7PfEGESUmHhdFm9dNH8Y65K59vJEAm to 5FLYvgSLABgFkgK3m1KQJNm1wEHUimp1xRxePsedRG6N2yQC — via sale, coldkey swap or a completed lock takeover.
Between blocks 9,457,047 and 9,457,107View subnet →
Validator hotkey 5CqRMuYSSqYkSa8AM3VawVfdyUhyBufyesvvgh3vCgaGb9Ed announced new child keys on SN112, applying at block 9,460,412 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,453,159 and 9,453,221View subnet →
THOR Group@THORMachines16 seconds of someone unloading a dishwasher. A THOR miner turns that footage into a structured record: eight actions, each with a start and end time. At scale, labels like these become training and evaluation data for robots. Action labelling is THOR’s first task type. Every THOR task is built to the customer’s brief, and work is checked before delivery.
THOR Group@THORMachines“Model training is not hard. But I need a lot of data… to train my robots.” We hear this from robotics labs constantly. Software AI learned from the internet. Robots must learn from the real world, where usable data is still scarce. That’s why THOR starts with data.
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Validator hotkey 5GTWwu3NCbYmVFzwfrXa1sx8y4UNLR3padWfVZwjNnDmySXP announced new child keys on SN112, SN114, SN117, SN120, SN124, SN128, applying at block 9,435,741 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,428,540 and 9,428,599
THOR Group@THORMachinesFull October recap + November preview in our Telegram. Join: t.me/THORMachines
Linkt.met.me/THORMachinesTHOR Group@THORMachinesOctober was THOR’s first month live on Bittensor SN112. • First robotics labelling contracts signed • 3 annotation firms onboarded • Invite-only orderbook • talorobotics.ai launched November is about delivery: signed contracts → accepted work → subnet revenue.
Linktalorobotics.aitalorobotics.aiValidator hotkey 5DvTpiniW9s3APmHRYn8FroUWyfnLtrsid5Mtn5EwMXHN2ed announced new child keys on SN6, SN8, SN9, SN14, SN20, SN29, SN30, SN35, SN37, SN38, SN41, SN44 and 30 more, applying at block 9,431,952 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,424,713 and 9,424,772
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The subnet owner's coldkey is scheduled to swap at block 9,455,020 (~5 days).
Between blocks 9,418,981 and 9,419,064View subnet →
Validator hotkey 5EtUYRu7sFqs9obCrN6JSNTnAAcpk98oJ27YV2EF9gC4tvzs announced new child keys on SN12, SN15, SN18, SN22, SN33, SN45, SN81, SN100, SN112, SN117, SN123, applying at block 9,425,221 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,418,012 and 9,418,072
Validator hotkey 5CqRMuYSSqYkSa8AM3VawVfdyUhyBufyesvvgh3vCgaGb9Ed announced new child keys on SN82, SN112, SN128, applying at block 9,417,029 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,409,788 and 9,409,849
Validator hotkey 5CAQAgXxoU3NPo1YG5VQKz4Ackh7goNx3TvPD9A6LoqA7FmJ announced new child keys on SN112, applying at block 9,410,454 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,403,199 and 9,403,261View subnet →
THOR Group@THORMachinesSources: Figure, Introducing Index (25 Aug): figure.ai/news/introducing-index Mecka Series B (7 Oct): techcrunch.com/2026/10/07/robot-data-startup-me… Maxinsights seed (22 Oct): roboticsandautomationnews.com/2026/10/28/maxins… Pantheon, Argus audit (1 Oct): pantheon.inc/blog/argus
Linkfigure.aifigure.ai/news/introducing-indexTHOR Group@THORMachinesTHOR Signals · Capital @Figure_robot tried to buy robot training data. Vendors couldn’t hit the throughput, diversity or quality it needed. So it built its own pipeline, and in August committed $1B+ to data and compute over 12 months. Meanwhile, data suppliers are raising: → @MeckaAI: $60M Series B led by Sequoia, with Nvidia and M12 joining. → @MaxinsightsAI: $30M seed led by Peak XV. 2M+ hours of human activity video captured, with 1.5M rated “model-ready” under its internal scoring system. As more capital flows into collection, more data needs verifying, and that’s where things slip. Pantheon audited 3,546 episodes across nine open robotics datasets and found 27% had at least one medium or high severity issue. That's open data, not these suppliers’, but it shows how easily problems get through. Figure’s answer: keep filtering, fraud review and deduplication in-house. Our view: an open market for robotics data needs verification buyers trust enough to cut back their own checking. THOR’s pilot is testing whether independent verification can match buyers’ own quality calls, and cut the time they spend checking.
Validator hotkey 5CAQAgXxoU3NPo1YG5VQKz4Ackh7goNx3TvPD9A6LoqA7FmJ announced new child keys on SN112, applying at block 9,402,545 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,395,337 and 9,395,396View subnet →
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.
THOR Group@THORMachines“The main lesson of thirty-five years of AI research is that the hard problems are easy and the easy problems are hard.” Steven Pinker, 1994 Robots still struggle with what a toddler does without thinking. THOR is building the data network to help them learn.
THOR Group@THORMachinesIf everyone has access to better AI models, what do contributors compete on? How well they use them. Models like GPT-6 Astra and NVIDIA’s Flora are getting much better at labelling robotics video. NVIDIA estimates inference compute costs below $1 per hour of footage for Flora. But customer-ready data has to meet timing, description and quality requirements. Verification and rework carry costs too. On Bittensor Subnet 112, THOR is designed to tie rewards to verified output, giving contributors an incentive to improve their models, tools and workflows. A better workflow raises the bar for everyone. The test for THOR is whether that competition delivers reliable robotics training data at a lower total cost. Better AI expands what’s possible. Competition makes it count.
Share of the subnet's miner emission routed to burn: 80% → 0%.
Detected 14d agoView subnet →
THOR Group@THORMachinesRobotics will scale one deployment at a time: one robot, one task, one environment. And each can expose edge cases the training data never covered. THOR is building an open marketplace for annotation and verification to cover them, so training keeps pace with deployment.
Quoting @1138033434
When is the ChatGPT moment for robotics? Some say it's happened, some say it's coming. How capable are Physical AI models today? What does the adoption curve for robotics look like? We've talked to most of the major players and make sense of it here robostrategy.co/news/the-chatgpt-moment-for-rob…
Validator hotkey 5G3wMP3g3d775hauwmAZioYFVZYnvw6eY46wkFy8hEWD5KP3 announced new child keys on SN17, SN20, SN24, SN29, SN39, SN44, SN47, SN48, SN52, SN56, SN61, SN63 and 14 more, applying at block 9,374,755 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,367,539 and 9,367,598
Share of the subnet's miner emission routed to burn: 0% → 80%.
Detected 14d agoView subnet →
Share of the subnet's miner emission routed to burn: 80% → 0%.
Detected 15d agoView subnet →
Validator hotkey 5F7dvCS7mdzJU4o9bAUx4LPgpF3XeMM1XEz9nVqVNga9r6LW announced new child keys on SN112, applying at block 9,373,003 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,365,771 and 9,365,831View subnet →
Share of the subnet's miner emission routed to burn: 0% → 80%.
Detected 15d agoView subnet →
Share of the subnet's miner emission routed to burn: 80% → 0%.
Detected 15d agoView subnet →
Share of the subnet's miner emission routed to burn: 0% → 80%.
Detected 15d agoView subnet →
Validator hotkey 5EqYdsxW1EYfb7PdJrazCYd1JuunqhABtHSWKh34jPbQoaUf announced new child keys on SN17, SN53, SN111, SN112, applying at block 9,369,706 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,361,755 and 9,363,620
Share of the subnet's miner emission routed to burn: 80% → 0%.
Detected 15d agoView subnet →
Share of the subnet's miner emission routed to burn: 0% → 80%.
Detected 15d agoView subnet →