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The rapid progression of large language models is extending AI from passive content generation into the active workflows of engineering and scientific discovery. This shift raises a compelling question: can AI be both the object of development and an active participant in building next-generation AI systems? We explore...
Long-horizon agentic tasks require an agent to modify an environment through a sequence of tool calls, with success determined by the final state. The standard recipe assigns a single outcome reward at the end and compares trajectories sampled for the same task. As a result, a group with no successful trajectory yields...
Verifiable Memory is presented, a framework that represents LTM, active context, and episodic history as distinct states and controls them with one memory operation policy and achieves the strongest efficiency--performance frontier among the compared methods.
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