Crunch Brings 11,000 AI Experts To Mine Bittensor. Here’s an Interview with the Founder

A new wave of “human miners” is quietly entering the Bittensor ecosystem, and it’s coming from a place most crypto-native builders rarely reach: the global machine learning talent pool. In a recent Hash Rate interview (watch below), Jean Herelle, founder of Crunch, explained how his company has built a bridge between high-level data scientists and…

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Doug Sillars on Why Bittensor Is Becoming a Startup Ecosystem (And What Needs to Improve)

Doug Sillars, Developer Relations lead at Taostats, recently joined the Ventura Labs podcast to break down what’s really happening inside the Bittensor ecosystem. From subnets behaving like real companies, to emission mechanics, MEV bots, and why most subnets will fail just like startups do in Web2, Doug offered one of the clearest explanations yet of…

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Full Recap of Chutes’ NS: Generating $1.3M in Revenue and Challenging OpenAI with Privacy & Efficiency

Chutes (Subnet 64 on Bittensor) just released a major update showing they’re not just another crypto project, and they’re generating real revenue and building products people actually use. In their recent Novelty Search (NS) presentation, the team revealed they made over $1.3 million in the last 90 days. They’re now consistently hitting $9,000 to $20,000…

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Revenue Search 54 + Surprise Appearance By Shak from Ridges (SN62)

The latest episode of the Bittensor Revenue Search pod covered one core theme: how capital, teams, and infrastructure are actually being built inside Bittensor right now. Watch the episode below: The hosts opened with updates from Davos, where they connected with key Bittensor figures including Chris (from Bitstarter), Etienne, and Max (from Score Subnet) at…

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Ventura Labs Hosts Keith Singery & Garrett Oetken

SUMMARY: This episode of Ventura Labs Podcast featured Keith Singery and Garrett Oetken from TAO.COM. They discussed how Bittensor‘s ecosystem has shifted responsibility for product development from validators to subnet owners, who have the actual vested interest in solving problems, while validators now focus on governance, trust verification, and operational support.  They explored the evolution…

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Hash Rate – Ep 150 – Babelbit Subnet 59

SUMMARY: Hash Rate Podcast Episode 150 features guest Matthew Karas discussing Babelbit (Subnet 59 on Bittensor), a project developing ultra-low latency real-time voice-to-voice language translation using predictive LLMs, inspired by the Babel fish from The Hitchhiker’s Guide to the Galaxy. He explains the subnet’s mechanics, incentive design, and how Bittensor enables decentralized funding for innovative…

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Bittensor Revenue Search 52 – Discovering AI Start-ups with Asymmetric Upside – TAO.COM

SUMMARY: In this episode of Bittensor Revenue Search, TAO.COM team unveiled a redesigned iOS wallet updating the original Bittensor app, emphasizing simplicity with fiat-denominated balances, one-tap Coinbase purchases (no account needed), and frictionless staking without validator selection. The app showcased subnet profiles with videos, team bios, roadmaps, and self-editable content to build conviction, alongside performance…

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$TAO’s Philosophical Depth: Bittensor Digital Capitalism vs Bitcoin Evolution

SUMMARY: This episode of The TAO Pod features a deep discussion between James Altucher and Joseph Jacks on Bittensor’s ($TAO) first halving, which halves daily emissions from 7,200 to 3,600 $TAO, creating scarcity akin to Bitcoin’s halvings that historically drove price appreciation. They emphasize Bittensor’s philosophical edge as “digital capitalism,” democratizing AI innovation and price…

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Maciej Kula Discusses Bittensor Halvings, Chain Buys, TAO Flow, and Others

Bittensor is entering one of its most defining periods. The first $TAO halving is approaching, TAO Flow has replaced price-based emissions, chain buys are finally being discussed openly, a new encrypted mempool is now rolling out, and proxy security is becoming a standard practice across the network. These changes have raised questions. Questions like “How…

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