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A unified policy enables humanoid robots to robustly interact with complex environments, achieving record-breaking success rates in dynamic terrain and command scenarios.
GigaBrain-0.7 achieves unprecedented task adaptability in embodied agents, outperforming previous models in zero-shot capabilities and instruction following.
LLM agent harnesses are surprisingly vulnerable, but weaving security directly into the agent lifecycle can slash attack success by 42% without sacrificing utility.
LLMs often invoke irrelevant tools just because the query structure *fits* the tool's parameters, revealing a surprising and widespread flaw in their reasoning.
