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Hrish Lotlikar, CEO @hrishlotlikar | Max Woon, CTO As modern consumers we produce vast digital data, but almost none of it is tied to real locations Every day, billions of phones, cameras, sensors and social feeds capture fragments of the physical planet. Yet this information floats in disconnected platforms. It has no unified place in…
Upcoming HUGE catalysts for $TAO (and thus $TAOX). All of these will happen: A) The first halving for $TAO on Dec 13. TAO is structured exactly like Bitcoin. 21,000,000 tokens fixed supply released over time as incentives for miners. Every four years, the amount rewarded to miners gets cut in half. The first halving for…
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Liquidity has always been a quiet constraint in high conviction ecosystems: On Bittensor for instance, staking $TAO secures the network and aligns incentives across validators and subnet builders. However, traditional staking also locks capital in place, and for holders who want exposure without sacrificing flexibility, that tradeoff has been structural. xTAO under Project Rubicon is…
Bittensor’s governance architecture is undergoing one of its most consequential overhauls to date, yet community participation in the discussion has remained limited. After months of internal debate and proposal drafting, Church of Rao is introducing a comprehensive on-chain governance system to replace the network’s current sudo-based triumvirate multisig structure. With structural changes that affect proposers,…
When public figures misspeak, humans instinctively repair the sentence before passing it on, machines do not. That gap captures the difference between translation and interpretation, and according to Matthew Karas (Founder of Babelbit, Bittensor Subnet 59), it is the architectural frontier artificial intelligence must now cross. For decades, machine translation has focused on converting words…
Full credit: TAO Templar In this YouTube video, Travis takes a deep dive into Bittensor Subnet 41, Almanac, questioning both its value proposition and whether it even needs to exist as a subnet in the first place. Framed as an “information incentivization layer for prediction markets,” Almanac initially appears to be little more than a…
After weeks of tightening price action and fading volatility, Bittensor has finally made its move. The native token of Bittensor, $TAO, has broken out of a well-defined falling wedge pattern on the four-hour (4H) chart, shifting short-term momentum from defensive to constructive. What makes this breakout compelling is not just the pattern itself, but the…
SUMMARY: In a discussion with Subnet Summer, Sitaru Alex outlined Flamewire’s vision as a decentralized, performance-scored RPC (Remote Procedure Call) coordination layer built on Bittensor, designed to address the cost, accessibility, and infrastructure concentration issues inherent in traditional RPC providers. Flamewire routes traffic dynamically across globally distributed nodes based on measurable correctness, latency, and uptime,…
Bittensor has built a market for intelligence: Subnets coordinate specialized AI workloads, miners compete on performance, and validators enforce quality. What has been missing is a capital markets layer designed with the same rigor as the protocol itself. GroundLayer, set to launch on Subnet 20 and built by Taoshi and Team Rizzo AI, introduces structured,…
The written internet is only half the story. Every day, founders explain strategy on podcasts, researchers debate methodology in recorded panels, operators break down real execution details in long-form interviews. These conversations contain nuance, uncertainty, context, and insight that rarely make it into blog posts or press releases. Yet, for AI systems, most of this…
SUMMARY: On this episode of Market Cap, Greg Schvey, COO of Yuma Group, discusses how the firm supports innovation within the Bittensor ecosystem by helping high-potential teams access capital, technical infrastructure, and community alignment to build decentralized AI projects. Drawing on his background in fintech and crypto, Greg explains Yuma’s business model, how it evaluates…