Numinous Labs Just Launched Eversight: The Most Accurate AI Forecasting Tool (And It’s Free Right Now)

There is a famous quote recently highlighted by @const_reborn: “It’s tough to make predictions, especially about the future”. For a long time, forecasting meant relying on humans who often made mistakes. Now, Numinous Labs, the development team behind Bittensor’s Subnet 6 (SN6), is attempting to solve this by turning prediction into a verifiable, competitive science….

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Basilica Announces Partnership with Gradients

Basilica AI (SN39) has announced its first public subnet partnership following a major architectural overhaul, teaming up with Gradients AI (SN56) inside the Bittensor ecosystem. According to the announcement, Gradients is now using Basilica’s infrastructure to run reinforcement learning (RL) evaluations, tapping into GPU access, container runtimes, and serverless compute without needing to manage the…

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Bittensor Ecosystem Highlights – February Week 1

By: Victor SUBNET UPDATES & ACHIEVEMENTS ➤ Grail SN81@covenant_ai unveiled PULSE, their decentralized reinforcement learning system for LLMs. It matches centralized RL speed, achieves 100x+ bandwidth reduction for weight synchronization, and remains completely lossless. Read more here. ➤ Chutes SN64Chutes has generated $1.35M+ in revenue over the last 90 days. Details here.They also announced that…

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Covenant AI’s PULSE: Making Decentralized RL for LLMs as Fast as Centralized Training

Covenant AI just released PULSE (Patch Updates via Lossless Sparse Encoding), a technique that slashes bandwidth for weight synchronization in decentralized reinforcement learning (RL) by 100×+, while staying completely lossless (bit-identical reconstruction, SHA-256 verified on every sync). The biggest bottleneck in decentralized RL: training can happen on fast interconnects, but inference nodes are spread globally…

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Anyone Can Join Fun Competitions and Earn as Miner on Apex (SN1)

Subnet 1 (SN1) Apex is part of the Macrocosmos ecosystem, focused on game-theoretic AI and open-ended intelligence. Instead of a single mining task, SN1 runs multiple live competitions where miners compete by submitting algorithms or models. Each competition has its own incentive pool, meaning miners can specialize in different problem areas while emissions are distributed…

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