This article is based on a hand-compiled August 2025 dataset (by Joseph Jacks) covering ~25 large-cap assets valued above Bittensor and below Bitcoin (excluding wrapped/staked/meme tokens). The uncomfortable snapshot JJ’s dataset paints a blunt picture […]
SUMMARY: Travis breaks down the basics of Bittensor, using simple analogies to explain TAO, alpha, subnets, and the roles of miners, validators, and stakers. He highlights how alpha purchases impact emissions and introduces dynamic TAO […]
Bittensor’s Subnet 57 (GAIA) has taken a big step forward in weather forecasting by fine-tuning Microsoft’s Aurora AI model. The upgraded system now provides more accurate predictions of jet-stream winds — the fast-moving air currents […]
Bittensor’s Nuance subnet (SN 23) has surged into the spotlight, helping propel $TAO to the #1 most mentioned AI project on X last week, according to network data. The milestone comes on the back of […]
By: Victor Subnet Updates & Achievements SN16 — BitKoop (formerly HashTensor) HashTensor has officially rebranded as BitKoop, a new subnet designed to source discount codes. Read more. SN34 — BitMind BitMind released their AI detection […]
In recent discussions with validators, BitKoop (Bittensor subnet 16) addressed a couple of pressing issues that could affect participation in its validation process. The concerns raised center on liability and infrastructure costs, two factors that […]
For starters, I’ve run nodes on a bunch of projects outside of Bittensor. All of Mac Studios are never idled and I always convert every rewards I get straight to TAO. At some point, I […]
By: Gab Most startups face two major bottlenecks: scaling infrastructure and finding sustainable economic models. Centralized cloud services are expensive, and designing tokenomics or incentive layers from scratch is a huge lift. Bittensor ($TAO) changes […]
On August 22 via Discord, Don Milligan, CTO and co-founder of Neural Internet (SN27), shared an update on the project’s direction, progress, and long-term vision. The company is forming a parent corporation to pursue seed […]
The barrier to training and fine-tuning machine learning models has always been high. You’d typically need to understand Python, wrangle datasets, and tinker with complex training scripts just to get a model to do what […]
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