NewsOfficialXSep 28, 2026, 14:14 UTC

We're changing how Nepher tournaments pay miners.

We're changing how Nepher tournaments pay miners. Until now, most tournaments were winner-takes-all. Starting with Humanoid Run Jump Phase 3, every tournament on SN49 rewards the top three: • 1st place: 70% • 2nd place: 20% • 3rd place: 10% This split is here to stay. Strong work deserves to get paid, even when it lands just behind first place. Phase 3 is the first tournament under the new model, with a reward pool worth over $12.5K at current value. The task: train a policy for the Unitree G1 humanoid to run at high speed, clear obstacles and stay stable, built on Isaac Lab and scored on fixed benchmark tracks. The leaderboard is already above 0.8360, and there's still time to take a spot in the top three. Submissions close Wednesday, 30 September at 07:39 UTC. Enter here: nepher.ai/tournament/tournaments/373d2333-fe83-…

Linknepher.ainepher.ai/tournament/tournaments/373d2333-fe83-4ca7-a997-e84995a1c0f3

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SN49 Nepher Robotics at a glance

SN49, Nepher Robotics (α token ר), 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 0.007938 τ (≈ $2.40), against 4,380 τ of pool liquidity. On-chain, the best-delegated validator on it yields about 58.27% APR (simple) and 79.07% APY (compounded), emissions add 0.001988 τ to the pool each block, epochs run every 360 blocks. It was registered at block #6,783,158.

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More from SN49 Nepher Robotics

OfficialX · @nepher_robotics · 3d ago

𝗧𝗵𝗲 𝗡𝗲𝗽𝗵𝗲𝗿 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝘄𝗵𝗶𝘁𝗲 𝗽𝗮𝗽𝗲𝗿 𝗶𝘀 𝗹𝗶𝘃𝗲. AI has mastered language, code and images, but it still can't reliably control a robot in the physical world. That gap is where Physical AI lives, and it's the problem Nepher was built to solve. The paper https://t.co/tYT8aQSLKM

PressIntelligence — tao.media · 3d ago

Nepher Verified Lands on Robotics Listing Platform Alongside CE and UL

OfficialX · @nepher_robotics · 4d ago

About 97 miners competed to train the best policy for a robot navigating with no camera or map, using only a 360° LiDAR sensor. Using Bittensor’s distributed network, miners submitted policies tested on unseen environments, resulting in: > 337 submissions. > 90 hidden mazes. https://t.co/p3xTstpbfo

OfficialX · @nepher_robotics · 5d ago

Nepher Verified gives approved products a public ID and certificate buyers can verify instantly. It’s already active in the USA, with expansion now underway across Europe and Asia. Manufacturers can sponsor a Nepher tournament or submit their hardware and policy for evaluation

OfficialX · @nepher_robotics · 5d ago

We’re pleased to announce that Nepher Verified is now officially available as a selectable certification type on a major robotics product-listing platform. It now appears alongside options such as CE, UL, ISO, TÜV, FCC, and FDA. Manufacturers can now attach Nepher Verified to https://t.co/9WwHajIdrK

OfficialX · @nepher_robotics · 7d ago

Introducing Nepher Robotics, a simulation-first platform for training and deploying robots. We’ve been actively shipping since January, and we’re excited to give you a closer look at what we’re building and the team behind it. Built on NVIDIA Omniverse and powered by Bittensor. https://t.co/0NVpaB34rg

OfficialX · @nepher_robotics · 11d ago

We are not focused on a single area such as LLM, VLM, or VLA training. We work across different types of robots, environments, tasks, and policies. The future of robotics is training policies in simulation and deploying them to real hardware with minimal failure. This is exactly https://t.co/EYRZuZWaK5

OfficialX · @nepher_robotics · 13d ago

Nepher Robotics is focused on developing policies that are ready for real-world applications, not just demonstrations. By partnering with robotics companies, Nepher aims to train high-performing policies for the specific tasks they provide, with the potential to outperform https://t.co/Qzed5FhEUA

Taosis indexes announcements, articles, posts and releases about Bittensor subnets from their own channels and keeps a record of each. The text above is the source’s; the figures are read from the chain by Taosis.