DRM3 News
Sunday, October 11, 2026 (UTC)
SectionsDecentralized AIThe Data EconomyWritersAda VossJune ParkKenji MoriOn airFour new Bittensor subnets and tools launch as subnet count passes 100Bittensor ecosystem unveils Affine-I AI model and robotics subnetOpenAI in talks with independent assessors to widen AI safety expertiseMorpheus token price rises to $1.94 as sessions and live models tick upStudy finds generative AI outputs less diverse than their training data
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Stories · 5

Four new Bittensor subnets and tools launch as subnet count passes 100On Oct 7 and 8, multiple teams shipped live infrastructure, benchmarks and utilities on the Bittensor network.decentralized ai · Ada Voss · 2026-10-09Bittensor ecosystem unveils Affine-I AI model and robotics subnetTwo major network announcements were published 29 September 2026.the data economy · June Park · 2026-09-30OpenAI in talks with independent assessors to widen AI safety expertiseOpenAI said Sept. 22 it is talking with multiple independent assessors, a day after more than 20 world leaders called for tighter oversight of frontier AI models.the data economy · Kenji Mori · 2026-09-23Morpheus token price rises to $1.94 as sessions and live models tick upThe decentralized AI network logged gains across price, sessions and model count on Sept. 3.decentralized ai · Ada Voss · 2026-09-04Study finds generative AI outputs less diverse than their training dataResearchers built an information-theoretic framework to measure and close the gap between what models generate and what their training data contains.the data economy · June Park · 2026-09-03

Facts · 5

Steeves presented Affine-I, a 36-billion-parameter AI model developed via decentralized Bittensor competition, which achieves frontier performance for its size.Bittensor ecosystem unveils Affine-I AI model and robotics subnetSteeves argued Bittensor provides an open decentralized alternative to centralized institutional control of advanced AI development.Bittensor ecosystem unveils Affine-I AI model and robotics subnetReliquary (SN81) is a decentralized reinforcement-learning training market on the Bittensor network where miners search for prompts that challenge an AI model, generate candidate responses, and submit them for verification.OpenAI in talks with independent assessors to widen AI safety expertiseThe paper outlines future research directions: applying the principle to large language models via fine-tuning, extending it to decentralized AI networks, and developing a control algorithm that adjusts mutation strength automatically without knowing how the environment changes; Dr. Kruijssen said the team has already developed the controller and begun work on applications.Study finds generative AI outputs less diverse than their training dataThe activists proposed developing a decentralized network based on numerous renewable production capacities and storage systems to reduce the risk of single-point failures.EPA publishes proposed rule on New Hampshire's interstate air petition

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