$TAO Halving Shockwave — Will Bittensor’s Economy Survive It?

When Bittensor launched dTAO in February 2025, it introduced one of the most significant tokenomic changes in the network’s history. Alongside Bittensor’s native token, $TAO, each subnet now has its own $ALPHA (subnet token) — effectively creating a dual-emission economy within the Bittensor ecosystem. This system was designed to reward subnet participants while maintaining liquidity….

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How xTAO is Balancing Volatility and Sustainable Yield

SUMMARY: The video explores xTAO’s approach to cryptocurrency treasury management, detailing how it balances volatility, operational efficiency, and tax advantages through its TSXV listing and Cayman Islands base.  It highlights xTAO’s transparent capital structure, staking-based cash flow model, and strategic use of custodians. The discussion also compares xTAO’s strategy to Michael Saylor’s accretive dilution, emphasizing…

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Exploring the Future of Drug Discovery on Bittensor

Bringing a new drug to market is notoriously slow and expensive. Recent analyses estimate that the median cost — including failures — sits around $985 million, while the average exceeds $1.3 billion per approved drug. Even during the COVID-19 pandemic, governments spent tens of billions of dollars on vaccine development, revealing how resource-intensive and centralized…

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How Swarm Plans To Make Money

We read Swarm’s Substack article on how their subnet plans to generate revenue — and a few things really stood out. First, their subnet isn’t just running drone simulations for fun. It’s been a live testing ground for developing autonomous models capable of piloting a real quadrotor drone — equipped with LiDAR and precise sensors….

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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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