Into:Affine
Mine open reasoning.
As of · Jun 4, 10:37 UTC
Const, co-founder of Bittensor, built a where compete to create the best reasoning AI. Models are trained, uploaded to Hugging Face, deployed as inference endpoints, and then battle-tested on multi-turn problem-solving tasks. The best reasoners earn .
What is Affine
Affine is a competitive arena for AI reasoning models. Miners train models that can navigate complex multi-step tasks, like shopping on websites, exploring virtual environments, solving logic puzzles, and conducting science experiments. The best-performing models earn the most rewards.
The simple version: Imagine a competition where AI models are dropped into a video game and scored on how well they complete challenging quests. Each quest requires multiple steps of reasoning, planning, and problem-solving. The AI that solves the most quests, across the widest variety, wins.
Centralized equivalent: Think OpenAI o1/o3 or Google's Gemini reasoning capabilities, but developed through open competition rather than internal research teams.
How it works:
- Miners train reasoning models, upload weights to Hugging Face, and deploy them as serverless endpoints on Chutes.ai. Models are committed to the blockchain with their deployment details.
- send challenging multi-turn tasks from the AgentGym suite (webshop, alfworld, babyai, sciworld) to miner endpoints. They score using Pareto dominance across all environment subsets, rewarding both specialist and generalist models. Statistical significance testing prevents model copying.
Why This Matters
Other research from the same neighborhood of the network.
