SN49 miner burn down to 0%
The subnet burns 0% of its miner emission now (was 97%): miners are being paid again.
Detected 22h agoView subnet →
Bittensor subnet news
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SN49 miner burn up to 97%
The subnet now routes 97% of its miner emission to burn (was 0%). Miners earn little or nothing from it while this lasts.
Detected 1d agoView subnet →
Nepher Robotics@nepher_roboticsGo2 Tournament Phase 2 is now in the submission stage! 🐕 The key difference from Phase 1? Rough terrain. Phase 1 used a perfectly flat surface. While the winners performed well, their policies struggled with uneven terrain. The current Phase 2 leader has overcome this limitation, navigating rough terrain and reaching the goal accurately. Why does this matter? It brings us closer to enabling Go2 to navigate arbitrary maze environments, avoid obstacles, and reach destinations reliably. Thanks to our miners' active participation, Go2 is learning to find optimal paths and overcome challenging terrain and obstacles. The journey toward robust real-world robotics continues! 🚀
Nepher Robotics@nepher_roboticsCompetition finds the best policies, and their code makes the data. That's the flywheel: better policies produce better data, and better data trains better robots. Proof of concept starts this quarter. Follow along 👉 nepher.ai #SN49 #Robotics #SyntheticData @const_reborn @taodotcom
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Nepher Robotics@nepher_roboticsThe plan: take the top 10 submissions from our Franka tabletop tournament and have each one generate 100,000 episodes across varied environments on Nepher EnvHub (lighting, materials, layouts). That comes to 1,000,000 synthetic episodes, which is about 8,333 hours of robot data at ~30 s per episode. (Projection, not a result yet.) #Bittensor #PhysicalAI #NVidiaInception bittensor:native
Nepher Robotics@nepher_roboticsRobots need millions of demonstrations. Collecting them by hand doesn't scale. On Nepher tournament platform, miners compete to train the best robot policies, and every winning submission ships with full code. We plan to turn those winners into a synthetic data engine. 🤖 Here's how 👇
Nepher Robotics@nepher_roboticsOne year of SN49! 🎉🤖 Robotics doesn’t advance through demos alone. It advances through real challenges, measurable progress, and the ability to bring intelligence into the physical world. That’s what we’ve been building at Nepher over the past year. A year of building, testing, and pushing boundaries: → 26+ robotics tournaments → Humanoid locomotion, jumping, and running → LiDAR-based navigation with Leatherback and Unitree Go2 → Franka manipulation → Sim-to-real transfer on physical robots We’re proud of how far we’ve come, but this is only the beginning. As we enter our second year, we're setting our sights on the next frontier: robot policies and synthetic robotics data. Our mission is to build the infrastructure that accelerates the development of the next generation of robot intelligence. One year down. Many more challenges ahead. Thank you to everyone who has been part of this journey. Let's keep building! 🚀
Nepher Robotics@nepher_roboticsThis is only the beginning. Our vision is to build an open, competitive ecosystem where robotics researchers, developers, and companies can advance robot intelligence together. One year down. The next phase starts now. Join us: nepher.ai #Robotics #PhysicalAI #Bittensor #Nepher bittensor:native @const_reborn @NVIDIARobotics @opentensor
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Nepher opens Franka tabletop challenge on Bittensor
SN49's new contest asks miners to control a simulated Franka arm, producing demonstrations for robot learning under fixed task rules.
Tao Outsidersource ↗
Nepher Robotics@nepher_roboticsHow to join: Tournament page: nepher.ai/tournament/tournaments/862bef9f-a9a1-… Docs and setup: docs.nepher.ai/tournaments Built on Isaac Sim 6.1 + Isaac Lab 3.0 @NVIDIARobotics @opentensor
Linknepher.ainepher.ai/tournament/tournaments/862bef9f-a9a1-46ba-9f99-5176086842c6Nepher Robotics@nepher_roboticsThe Franka Tabletop RL Challenge, Phase 1, is now live on SN49. 🚀 Miners build the brain that teaches a Franka arm to grasp, carry, place, stack and pack objects on a cluttered table, creating high-quality practice data for next-gen AI models. The robot can see the objects around it. Everything else stays fixed: the table, the physics, the setup. We give you a starting point, and you can change anything. A task only counts if the robot holds its final position for half a second. The top 3 split the rewards 70/20/10. Submissions close Sat 14 Nov.
Nepher Robotics@nepher_robotics@opentensor @bittensor Phase 1 top three: Peter 0.9272, Alex Baum 0.9223, Sky 0.9218. 76 submissions, 5 validators, 70/20/10 rewards on Bittensor SN49. Results: nepher.ai/tournament/tournaments/997ea97f-4371-… Built on Isaac Lab @NVIDIARobotics @UnitreeRobotics @opentensor
Linknepher.ainepher.ai/tournament/tournaments/997ea97f-4371-4ca0-b700-f117c8f2e2f5Nepher Robotics@nepher_robotics27 people trained policies for one job: get a Unitree Go2 through a maze it has never seen, using LiDAR only. The winner scored 0.9272 on held-out mazes. Phase 1 had a smooth, clean floor. Phase 2 is live now on rugged, uneven terrain. #Robotics @opentensor @bittensor @NVIDIARobotics
Nepher Robotics@nepher_roboticsWatch the winning run of Unitree Go2 LiDAR Maze Phase 1 🏆 No cameras. No map. Just a 360° LiDAR scan, scored on mazes the policy has never seen. 76 submissions · 27 participants Winning score: 0.9272 Trained in Isaac Lab, competed on Bittensor SN49 🤖 nepher.ai/tournament/tournaments/997ea97f-4371-…
Linknepher.ainepher.ai/tournament/tournaments/997ea97f-4371-4ca0-b700-f117c8f2e2f5Validator tao.bot (5E2L…eZ5u) scheduled a child-key change on SN49
Validator hotkey 5E2LP6EnZ54m3wS8s1yPvD5c3xo71kQroBw7aUVK32TKeZ5u announced new child keys on SN49, applying at block 9,380,238 (~24h). Stake delegated to it there routes through its children after that.
Validatortao.botSubnetsSN49
Between blocks 9,373,035 and 9,373,094View subnet →
Validator Crucible Labs (5CAQ…7FmJ) scheduled a child-key change on SN49
Validator hotkey 5CAQAgXxoU3NPo1YG5VQKz4Ackh7goNx3TvPD9A6LoqA7FmJ announced new child keys on SN49, applying at block 9,380,145 (~24h). Stake delegated to it there routes through its children after that.
ValidatorCrucible LabsSubnetsSN49
Between blocks 9,372,914 and 9,372,975View subnet →
SN49 miner burn down to 0%
The subnet burns 0% of its miner emission now (was 100%): miners are being paid again.
Detected 14d agoView subnet →
SN49 miner burn up to 100%
The subnet now routes 100% of its miner emission to burn (was 0%). Miners earn little or nothing from it while this lasts.
Detected 14d agoView subnet →
SN49 miner burn down to 0%
The subnet burns 0% of its miner emission now (was 100%): miners are being paid again.
Detected 14d agoView subnet →
SN49 miner burn up to 100%
The subnet now routes 100% of its miner emission to burn (was 0%). Miners earn little or nothing from it while this lasts.
Detected 14d agoView subnet →
SN49 miner burn down to 0%
The subnet burns 0% of its miner emission now (was 99%): miners are being paid again.
Detected 14d agoView subnet →
SN49 miner burn up to 99%
The subnet now routes 99% of its miner emission to burn (was 0%). Miners earn little or nothing from it while this lasts.
Detected 15d agoView subnet →
Validator Kiln (5F7d…r6LW) scheduled a child-key change on 2 subnets
Validator hotkey 5F7dvCS7mdzJU4o9bAUx4LPgpF3XeMM1XEz9nVqVNga9r6LW announced new child keys on SN31, SN49, applying at block 9,357,406 (~24h). Stake delegated to it there routes through its children after that.
ValidatorKilnSubnetsSN31, SN49
Between blocks 9,350,152 and 9,350,212
Nepher Robotics@nepher_roboticsHighlights from GTC Berlin 2026 🚀 This time we were there as attendees. Next GTC, we won’t just be watching. Proud to be building the next generation of robotics AI at Nepher. #NVIDIAGTC #PhysicalAI #Robotics
Validator Kiln (5F7d…r6LW) scheduled a child-key change on 3 subnets
Validator hotkey 5F7dvCS7mdzJU4o9bAUx4LPgpF3XeMM1XEz9nVqVNga9r6LW announced new child keys on SN49, SN87, SN112, applying at block 9,349,903 (~24h). Stake delegated to it there routes through its children after that.
ValidatorKilnSubnetsSN49, SN87, SN112
Between blocks 9,342,698 and 9,342,759
Nepher Robotics@nepher_roboticsThe future of robotics is being built now. 🤖 A moment from NVIDIA GTC Berlin with Jensen Huang — and a future we at Nepher Robotics are working to make real.
Quoting @altinloshi6
Excited to attend NVIDIA GTC on behalf of @nepher_robotics ! 🚀 Looking to connect with fellow startups, founders, and innovators working at the intersection of AI and robotics. Let’s connect and explore opportunities to collaborate! #NVIDIAGTC #Robotics #AI #Startups
Nepher Robotics@nepher_roboticsWe’ll be at @NVIDIAGTC Berlin this week (Oct 20–22). If you’re around and want to connect on partnerships, benchmarks, or talent - let’s meet up. nepher.ai
Linknepher.ainepher.aiQuoting @NVIDIAGTC
Can’t make it to #NVIDIAGTC Berlin? We’ve got you covered. 🎙 Join us for 3 days of livestreams covering the biggest moments of the week, from the keynote recap to real-world AI demos and developer stories straight from Berlin. Add the following streams to your calendar: → Mon, Oct 19 | Road to GTC: Europe Recap nvda.ws/3U61a1U → Wed, Oct 21 | GTC Berlin Day 1: Keynote Recap nvda.ws/4yOS9JN → Thu, Oct 22 | GTC Berlin Day 2: Inside the Experience nvda.ws/4zwMesL
How Nepher SN49 turns robot policy contests into miner rewards
Nepher Robotics revisits its humanoid simulation results as a Go2 maze contest approaches its deadline. How Bittensor SN49 links robot policies to miner rewards.
Tao Outsidersource ↗
Nepher Robotics@nepher_roboticsHumanoid Run Jump Phase 3 is officially in the books, with a winning score of 0.8245. Across three phases, miners have continued to push the same Unitree G1 humanoid to perform better on the same task: • Phase 1: 0.6750 • Phase 2: 0.7735 • Phase 3: 0.8245 Every phase used the same hidden benchmark tracks and open evaluation harness, with independent validators scoring each policy inside isolated sandboxes. And the competition is getting tighter. Just 0.0018 separated first and second place in Phase 3. Now, the Unitree Go2 LiDAR Maze Challenge is running on the same evaluation pipeline. This time, miners are training a high-level planner on top of a frozen locomotion policy, competing to navigate deterministic benchmark mazes. Submissions close 18 October. 🔗: nepher.ai/tournament Same evaluation standards, tougher competition, and better-performing robot policies with every phase.
Linknepher.ainepher.ai/tournamentNepher Robotics@nepher_roboticsNepher Robotics looking for robot manufacturer partners! Please stay in touch.