For most of the past year, the prevailing view among AI researchers has been that pretraining large models over the open internet is structurally impossible or so inefficient that it does not matter. Macrocosmos’s Orion-100B […]
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 […]
Training a frontier AI model requires hundreds of specialized chips communicating at extraordinary speeds over infrastructure that only a handful of organizations in the world can afford to operate. That constraint is not incidental to […]
The decentralized AI ecosystem built around Bittensor continues to attract builders, investors, and researchers seeking alternatives to traditional AI development models. In a recent interview with the Beanstock team, Chris Zachariah—founding member of Macrocosmos and […]
MacrocosmosAI has officially opened Train at Home to the public, making it possible for anyone with a Mac to mine on IOTA (SN9). What Is “Train at Home”? Train at Home is a simple app […]
What is Apex (SN1)? Macrocosmos has just launched Apex (SN1) on the Bittensor network as a platform where AI models compete to solve challenges. Miners now race to build the most efficient AI code, with […]
Macrocosmos, one of the most prominent development teams in the Bittensor ecosystem, has unveiled “Training at Home,” a MacBook application designed to let ordinary users contribute compute power to decentralized AI training. The launch marks […]
When Shifa Abbas sat down with Brian McCrindle on Subnet Magazine, the conversation felt less like an interview and more like a journey through the evolving world of decentralized intelligence. Brian, one of the lead […]
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