From $0 to $6M, Chutes Achieves Explosive Revenue Growth

Bittensor’s Subnet 64, known as Chutes, has emerged as a standout player in decentralized AI compute, demonstrating remarkable revenue expansion and innovative approaches to ecosystem sustainability. Drawing from a recent update shared by Jon Durbin on X, we briefly analyzed key metrics and insights that underscore Chutes’ rapid ascent. Insights Revenue Growth Emissions Offset Sustainability…

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Bittensor Validator Team Rizzo Merges With DNA Fund

Team Rizzo, a top validator in Bittensor, has merged with crypto investment firm DNA Fund to co-lead its Compute and AI Division, according to an announcement from Rizzo founder Frank Rizzo. The merger combines Team Rizzo’s expertise in Bittensor validation, mining and subnet innovation with DNA Fund’s global network and resources. Rizzo highlighted the move…

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ReadyAI Partners With Ipsos Division for AI-Driven Survey Processing

ReadyAI, a decentralized data labeling subnet on the Bittensor network, has partnered with a division of global market research giant, Ipsos, to automate the tagging and categorization of thousands of surveys, according to an announcement from ReadyAI founder David Fields. The collaboration leverages ReadyAI’s platform to enhance speed, accuracy, and scalability in market research, targeting…

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Hippius Subnet Deploys Quantum-Safe Encryption to Shield User Data From Future Quantum Threats

Hippius Subnet 75, a Bittensor-powered decentralized cloud storage platform, has rolled out quantum-safe encryption across its network, fortifying user data against emerging quantum computing risks without disrupting operations. The upgrade, deployed this week, addresses vulnerabilities in traditional cryptography that could be exploited by quantum machines in the coming years. Launched in March 2025 as Bittensor’s…

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Why Subnet 62 (Ridges) & Subnet 41 (Sportstensor) Could Lead TAO’s Future

By: Gab Subnet 62 – Ridges: AI-Powered Research Engine Ridges is designed to organize and rank the world’s research knowledge. Problem Solved: The internet’s research content is fragmented, unverified, and buried under irrelevant search results. How It Works: Miners provide models that ingest academic papers, research datasets, and technical knowledge. Ridges scores them based on…

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