In this Eye on AI interview, Steffen Cruz, co-founder and CTO of Macrocosmos, walks through how his team is building one of the most ambitious projects on Bittensor: training frontier-scale AI models without a data […]
Const posted something yesterday that, on its face, reads like every other Bittensor milestone tweet: He kick-started a 3B-parameter training run in 5 minutes for ~5 TAO, stitching together 128 total strangers’ machines over the […]
Crypto’s creator marketing layer has historically been a mess of opaque KOL (Key Opinion Leader) deals, flat-fee influencer arrangements, and post-campaign reports that arrive too late to be useful. Bitcast (Subnet 93) is the clearest […]
In this episode, TAO Templar works through a piece of Bittensor FUD that’s worth paying attention to. Justin Bonds, a full-time crypto researcher and CIO of Europe’s oldest cryptocurrency fund, recently posted a critique on […]
The hardware side of decentralized AI has always had an uncomfortable contradiction. The networks ask individuals to contribute compute, but the most useful compute lives behind enterprise procurement processes and datacenter contracts. Targon Tower Pro […]
The “Subnets as an Asset Class” panel at Proof of Talk delivered something the broader Bittensor conversation has been missing for a year: a candid read from the people actually deploying capital into the ecosystem. […]
Conviction’s locking primitive went live on Bittensor mainnet this week, but the version that shipped is deliberately the soft one. There is no subnet takeover capability, no auto-locking, no teeth. What is live is the […]
Real decentralization has a specific feeling. You know it when the protocol stops belonging to the people who built it and starts belonging to the people who use it. That moment for TensorUSD is now. […]
When Vidaio launched on Bittensor Subnet 85, the pitch was to compress video files smaller, upscale them better, run both through a miner network optimizing on quality scores. That was useful for getting started but […]
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 […]
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