Beam (SN105) has officially deployed Prism, its new orchestrator scoring system, and made the code public for community audit. The launch represents the most decentralized version of the network released to date, replacing static weights […]
Since Solana brought $TAO in natively on May 5 during Solana Accelerate, Sunrise has been working through the Bittensor OGs in a string of livestreams aimed at introducing the network’s deeper builder base to a […]
On May 12, Connito (Bittensor subnet 102) released its V1 whitepaper, and the timing feels deliberate. Decentralized AI training is hitting its stride: SN3 (Teutonic) just proved the network can handle base-model training at 80B+ […]
On Bittensor, validator choice often matters more than subnet choice, and most stakers never notice. The default behavior across the ecosystem is to spend time choosing which subnet to stake into, then accept whichever validator […]
Exploit Summit lands at New City Gas in Montreal on September 28 and 29, 2026, gathering the TAO ecosystem for two days of debates, demos, and live workshops. It was originally planned to take place […]
Const recently revealed that he runs six AI agents that operate without his intervention. They research, code, trade, and even mine TAO. More importantly, they pay for themselves: the trading agents generate PnL that automatically […]
Most investors approach Bittensor subnets without a working framework, and the cost of that approach has compounded across multiple cycles. Michael White returned to the Supercycle Podcast to lay out the one he uses, including […]
A subtle but consequential change is rolling out across the Bittensor protocol this week. The mechanism that decides which subnets receive TAO emissions is moving from tao_flow to net_tao_flow. And while it looks like a […]
For his second appearance on the Ventura Labs podcast, Travis ‘Tao Templar’ Millott, sat down with the host for a wide-ranging conversation on what has changed since their last conversation and what is still ahead. […]
Bittensor has spent years generating real products across inference, compute, data, and other AI primitives, but the network has longed for a clean surface where that output could actually be found by someone outside the […]
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