$CODEC: Infra for Vision-Language-Action Agents; RealWorld AI Execution - Codec powers Operators, agents that perceive, reason, and act using VLA (Vision-Language-Action) models. - Unlike LLMs, Operators emit executable control: clicks, keystrokes, robotic signals, not just text. - @codecopenflow runs the full stack: vision input → language reasoning → real-world actions in a single adaptive loop. - Built on Mixtral-8x7B + CogVLM; sandboxed training enables safe iteration before live deployment. - @RoboMove is the first live demo; SDK/API launching soon for agent builders across UI, robotics, and gaming. - Operator design handles layout shifts, errors, and multi-step flows without brittle scripts. - Roadmap includes monetizable Operator marketplace, Solana based logs, and staking for safety. - Founded by @_lilkm_ (ex huggingface) and @unmoyai (elixir); positioned as core infra for embodied AI. - Catalysts: SDK launch, third-party agent deployment, and cross-domain demos
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