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frozen model

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Sep 30, 2026 · Artificial Intelligence

RoboICL: Frozen GPT-6 Astra Achieves SOTA Robot Control via In-Context Learning

RoboICL enables frozen GPT-6 Astra to control dual-arm robots by providing demonstrations and the robot's own execution history as embodied context, achieving 50.64 average progress score on 30 RoboDojo tasks—surpassing prior methods—with detailed analysis of memory design, real-robot transfer, and 929 executable trajectories for inspection.

GPT-6 AstraRoboDojoRoboICL

0 likes · 19 min read

RoboICL: Frozen GPT-6 Astra Achieves SOTA Robot Control via In-Context Learning

Machine Heart

Sep 24, 2026 · Artificial Intelligence

ModularRSI: Agents Self-Improve by Evolving Harness, Not Model Weights

ModularRSI demonstrates that AI agents can continuously self-improve by evolving their harness—the surrounding system mechanisms like tool use, context management, and task completion detection—while keeping the base model frozen, achieving performance gains on Terminal-Bench and SWE-Bench that transfer across domains and models.

Agent Self-ImprovementCross-Domain TransferCross-Model Transfer

0 likes · 18 min read

ModularRSI: Agents Self-Improve by Evolving Harness, Not Model Weights