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Joined September 2023
Introducing HyperTrain 🚀
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Ours is already live on Bittensor: Neon 1.1 routes every task across 32 models by difficulty, and miners on Subnet 100 make it better every day, try it at console.opentype.dev
That didn't take long.
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Introducing Sub-subnet 2 of Subnet 100. Its first model is Neon 1.1: it doesn't write, it decides. Hundreds of yes/no questions answered in a single call, in milliseconds.
Meet Neon 1.1 by OpenType. A model built to decide, not to chat: hundreds of questions answered in one call, in milliseconds. We ran it through 5 real tests. Every number in this thread comes from a logged run. 🧵
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Meet Neon 1.1 by OpenType. A model built to decide, not to chat: hundreds of questions answered in one call, in milliseconds. We ran it through 5 real tests. Every number in this thread comes from a logged run. 🧵
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The website is back online at cortex.foundation.
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We’re opening beta access to Bot Desktop for miners.
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The Cortex Code CLI is now available in beta: github.com/cortexlm/cli
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Image generation is now available.
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We’re building an application for Bittensor.
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Cortex retweeted
We just completed the largest decentralised LLM pre-training run in history: Covenant-72B. Permissionless, on Bittensor subnet 3. 72B parameters. ~1.1T tokens. Commodity internet. No centralized cluster. No whitelist. Anyone with GPUs could join or leave freely. 1/n
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Cortex retweeted
GLM-5 is LIVE on Chutes 🔥 @zai_org's new flagship. 744B params (40B active). Best-in-class open-source on reasoning, coding, and agentic tasks. 77.8% SWE-Bench Verified 73.3% SWE-Bench Multilingual 75.9% BrowseComp (w/ context manage) 50.4% HLE with tools 89.7% τ²-Bench Try it now → chutes.ai/app/chute/e51e818e…
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Cortex retweeted
Tau Ninja is running on Basilica. basilica summon tau You need just two environment variables. A Chutes API key for inference and a @telegram bot token from @BotfatherTG. That's the entire setup for @const_reborn's self-modifying AI agent on decentralized compute. Under the hood, three subnets are each contributing their output to a single deployment. Basilica (SN39) provisions and runs the container. This is the compute surface where everything comes together. @chutes_ai (SN64) handles LLM inference. Every time Tau reasons about a task, plans its next action, or generates a response, that call routes through Chutes' decentralized inference network. @platform_tao (SN100) provides the baseagent framework. The agent scaffolding, tool execution, and state management that make Tau an autonomous agent rather than a chatbot. Because baseagent lives on a Bittensor subnet, miners are continuously incentivized to improve it. The agent framework itself gets better over time through market competition, and every agent built on it inherits those improvements. That's what makes this a Bittensor-native agent rather than just an agent deployed on Bittensor. Each subnet does one thing well. Basilica is the deployment layer that composes them into a working product. One command, seconds to deploy, and the result is a self-modifying AI agent running entirely on decentralized infrastructure. tau.ninja For support and setup help, join us on Discord: discord.gg/kUJFjTXRQx
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