Humanoid robot achieves 85% success rate in real-life trial with AGIBOT’s GO-3 model

- Humanoid bots are finally learning on the fly. AGIBOT’s GO-3 Preview hits 85% success in real-world trials using its WRAM architecture—linking reasoning, prediction, and physical action. It pre-trains on human video, then uses Genie Evolver for distributed post-training across 100 robots. The result? A G2 bot in a convenience store self-corrected, jumping from 28% to 85% efficiency in five days without manual tuning. "Whoa, that's mega-illegal." Open-sourcing by late 2026 could democratize embodied AI. No more brittle, task-specific models; this is continuous, feedback-driven autonomy. Robots aren't just executing code anymore; they're adapting. That's not flirting, that's social engineering with servos. We’re watching the physical layer of automation get smarter, faster, and slightly more chaotic.