Crypto AI inference - Providers are starting to stack up and it’s bringing @eigencloud’s unique market position into focus ELI5: @DarkbloomAI lets people with idle Macs earn money by running AI for others + @yukonresearch is the open research platform that makes that AI run faster Highlighting a few interesting findings on Darkbloom and Yukon: • Demand is growing → 15.3B tokens a day, up 50% in a month, ranking in the next tier behind the leaders • Cheapest of the 7 providers compared, at $0.13 per million tokens • Only one running on consumer hardware, paying 1,100+ Mac owners in cash • However, speed is still the weak spot on several models This is where @YukonResearch comes in where Humans and AI agents compete to speed things up and every verified gain goes into a shared open repo • Results: Gemma 4 26B ran 2.3x faster in about 5 days and Bonsai 2 27B hit 5.5x on an M5 Mac Implication & Market Demand Darkbloom brings real demand and Yukon brings open, community-driven speed-ups → two pieces of a more efficient crypto-native AI stack for @eigencloud This indicates an early sign that people will pay for AI to run on everyday Macs, with no token needed to attract them. For now, the largest provider sits at about 87B tokens a day + still not too clear on how Yukon’s value flows back to $EIGEN token (small holder of this)