Seby Rubino presented Zipcode (SN46) at Novelty Search E076, walking through the team’s pivot from real estate appraisal oracles into a full credit oracle network for on-chain lending. He called Zipcode the ‘bank of Bittensor’ […]
Subnet 28, branded “gm” (@say_gm_ on X), published its roadmap, and that announcement tells you exactly what kind of subnet it’s trying to be. Three cards: Good Morning, Good Afternoon, Good Night. Now, Next, Later. […]
NOTE: The full article was written by mono † on X. Full credit goes to the author. The idea in plain English Before the jargon, here is the whole thing in plain terms. When an […]
Oro AI (SN15) published a full technical report this month explaining how the team used Bittensor subnet data to train a small but powerful shopping agent. Authored by Shardul Bansal (Oro AI), Seth Schilbe (Oro […]
In this interview, Wouter, the founder of Zeus (Subnet 18), walked through how he went from an AI student in Amsterdam to running a weather intelligence subnet on track to do $1M annual revenue from […]
Jose Caldera and Asem Othman convened the first anniversary AMA for SN54, marking one year since Yanez launched on Bittensor. The session was notable for the level of financial transparency as Jose disclosed, walking through […]
What makes ChatGPT possible isn’t the chatbot you talk to, but the enormous data centers running behind the scenes. Warehouses the size of a few football fields, packed wall to wall with computer chips, humming […]
SimpleSwap is now live on Bittensor.ai, empowering users to swap from 2,800+ cryptocurrencies directly into TAO without going through a centralized exchange. $TAO arrives in the user’s self-custody wallet in a single transaction, ready to […]
Bittensor is one of the most exciting things happening in AI right now, and only geeks can use it. It has built a thriving decentralized marketplace where subnets compete to deliver intelligence, compute, data, search, […]
TPN (SN65) published the full walkthrough of its pivot from VPN infrastructure to distributed LLM compression and optimization. The team is positioning itself as the layer in the Bittensor stack that takes large open-source models […]
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