A few hours ago, Const dropped a line in the Subnet 3 Discord that most people will scroll past: Reactions piled on (🔥, 🚀, 💯, 👀, 🐐) his remark. The duel history in the screenshot […]
Bitcoin miners generated $17.2 billion in revenue in 2025 and consumed roughly the same amount of electricity as the entire country of Poland to do it. The compute itself produced nothing beyond solving abstract mathematical […]
Freeman started with a bold statement that if he could only own one crypto for the next five years, it would be Bittensor TAO. The reasoning starts with valuations. TAO sits at roughly $2.71 billion […]
The largest AI labs in the world are spending tens of billions of dollars on data centers that, on a long enough timeline, may turn out to be the wrong bet. That is the underlying […]
On June 2–3, 2026, the gilded halls of the Louvre Palace will once again play host to Proof of Talk, and for the second consecutive year, Bittensor will have a dedicated track at the center […]
In November 2025, Bittensor flipped one of the most consequential switches in its history. The shift from price-based emissions to flow-based emissions, branded Tao Flow, fundamentally rewired how $TAO gets distributed across the subnet economy. […]
Trishool, the decentralized AI safety infrastructure provider operating on Bittensor Subnet 23, has announced a commercial partnership with Velantris, an enterprise AI agents startup. This deal is aimed at deploying Halo’s constitutional safety layer inside […]
For institutions holding $TAO inside qualified custody, earning yield on those positions has historically meant choosing between security and participation. Most custody platforms simply did not support staking workflows for $TAO, leaving large allocations to […]
The question of whether AI can consistently beat financial markets has been one of the longest-running debates in quantitative finance. Hedge funds have spent decades and billions of dollars chasing the edge that machine learning […]
We are at the beginning of an entirely new wave of company building: Agent-native startups. This kind is designed from day one around AI agents doing the work human teams used to do, and they […]
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