TAO.BOT: Making Bittensor Everyone’s Playground

Bittensor is quickly catching fire in the crypto space. With its bold vision of a decentralized economy, every enthusiast and newcomer wants to get involved. But there’s a problem: navigating Bittensor isn’t easy. From bridging assets to managing subnet tokens, the onboarding process can feel intimidating—especially for those used to the smoother UX of Ethereum…

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Bittensor & Subnet Opportunities (By Gordon & Jared)

SUMMARY: Jared Lawrence shares how he shifted from traditional businesses and multi-market trading to going all-in on Bittensor after recognizing its blend of Bitcoin-like tokenomics and 128 economically productive subnets. Jared and Gordon discuss current market conditions, arguing that macro factors may extend the typical crypto cycle but still leave room for a final blow-off…

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About Autoppia Subnet 36

SUMMARY: The video explores Autoppia (Subnet 36), a decentralized platform creating autonomous AI workers that operate independently within an “infinite web arena.” These agents tackle adaptive web challenges and earn rewards through a winner-take-all mining system displayed on a public leaderboard. With a studio and marketplace for deploying AI workers to real-world business tasks, Autoppia…

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Bittensor Ecosystem Highlights — December Week 1

By: Victor This week in the Bittensor ecosystem delivered major upgrades across subnets, new strategic investments, fresh product launches, and a wave of ecosystem-level progress as we move closer to the halving. Here are the top developments shaping the network: Subnet Updates & Achievements Apex (SN1) rolled out the evolution of its platform, introducing a…

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Templar and Gradients Deliver Covenant72B Production-Ready DeAI Model

For a long time, “open-source AI” has meant something very specific. The weights are public, but everything that matters happens elsewhere. Training decisions, data pipelines, and refinement processes remain locked inside centralized teams and private infrastructure. Covenant72B challenges that model. Through a coordinated but fully decentralized collaboration between Templar (Subnet 3) and Gradients (Subnet 56),…

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