Sundae Bar (SN121) published a walkthrough of the internal dashboard where its evaluation agents build new challenges in real time. Taylor ran the camera through every stage of the agent pipeline and showed exactly what […]
Score (SN44) published its public benchmark, and the result is a 19 MB distilled vision detection model from the subnet that beat GPT-4o, Gemini, Grok, Claude, SAM3, Grounding-DINO, OWLv2, and DETR on accuracy at vehicle […]
A week of receipts across the ecosystem: first public models from Quasar, hard revenue numbers from Yanez, benchmark wins from Affine, and a steady stream of enterprise validation. Here’s the rundown. Subnet updates Chutes (SN64) […]
A government cut access to the two most capable AI models on the planet in one evening. It needed a letter and a deadline. No vote or warning to the hundreds of millions of people […]
Endure (SN30) announced this week that an integration with Synth (SN50) is in development. The team confirmed it on their official X (Formerly Twitter) handle with a short note that Synth’s forecasts will feed into […]
Greg Schvey, the COO of Yuma (DCG’s operating arm inside Bittensor), joined The Supercycle podcast to give a detailed overview of the state of the Bittensor network. The conversation covered his Wall Street and crypto-infrastructure […]
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 […]
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