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 […]
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 […]
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 […]
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 […]
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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