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 […]
Over the last decade, financial markets have undergone a quiet but profound shift. Entire industries once built on trust, discretion, and opaque internal controls are being re-examined through a new lens. Transparency, verifiability, and user […]
On December 16, 2025, DSV Fund completed an over-the-counter investment in Vericore, Bittensor Subnet 70 (SN70). The move reflects DSV’s focus on early-stage decentralized AI infrastructure that addresses real, growing problems, particularly the spread of […]
Decentralized intelligence continues to evolve beyond static benchmarks and one-dimensional performance tests. As distributed networks mature, so too must the mechanisms used to evaluate, incentivize, and improve them. Apex officially launched Battleship, a new experimental […]
Something important just happened in decentralized AI, and it deserves attention. Ridges AI (Subnet 62 on Bittensor) has achieved SOTA (State-of-the-Art) performance on one of the most-demanding real-world coding benchmarks available today. This was not […]
Building AI applications today comes with a hidden problem: who pays for the AI? Every prompt, image, or response costs money. As apps grow, developers either cap usage, charge subscriptions, or quietly pay the cost […]
Contributor: School of Crypto Wrapped tokens have become an essential part of the crypto ecosystem. Native blockchains such as Bitcoin were siloed in their respective networks with no way to use their value in other […]
On December 11 TGIFT community call (watch below), the Bittensor team (including Const and Shib) shared a set of upgrades aimed at making the network safer and more professional, especially for people who stake TAO. […]
Artificial intelligence has become the defining technology of our time, yet most people remain shut out from contributing to its creation. Training frontier models typically requires massive data centers, expensive hardware, and tightly controlled environments. […]
If you use AI for business, you have a big problem: Trust. When you send a private document to an AI, you have to trust the company running the server. You have to hope they […]
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