How To Train Your Own AI Models Using TAO

Gradients.ai (Bittensor subnet 56), a user-friendly platform for training custom AI models, released a step-by-step video tutorial on how to train AI models. Read more about Gradients here. The guide features dashboard setup, task selection, model choice, dataset mapping, and payment for compute hours.

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Bittensor’s Gaming Subnet Partners with Popu Games for MMORPG Breakthrough

Bittensor’s Subnet 114 (SN114), known as Level 114, has announced a groundbreaking partnership with Popu Games Studio to publish The Cursed Land, a cross-platform MMORPG blending traditional gaming with optional Web3 elements. This partnership enables SN114 to launch a “sub-subnet,” splitting its emissions to support dual workloads: 25% allocated to the game based on player…

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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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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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AI lives in a wonderland. Time to level up.

Contributor: Crypto Pilote Our LLMs act like kids because that’s how we taught them. Thanks to Aurelius subnet, they’re about to enter their teenage years. Let me explain. I – How we learn When we start our lives, we first need to learn how the most basic things work. Older people guide us by telling…

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