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MCP-GRANITE is presented, an open-source extensible benchmark framework that treats tool-interface granularity as a controlled variable for MCP-based agents, evaluated under edge and IoT scenarios and identifies tool-interface granularity as a key design parameter for MCP-based agents.
Sustainability-optimal data center choices can significantly differ from latency-optimal ones, revealing the hidden costs of ignoring local grid carbon intensity.
A well-designed mobile app can significantly improve emergency response and preparedness, potentially saving lives during climate change-driven disasters.
LLMs can almost identify the *presence* of human values in qualitative data as well as experts, but their *ranking* of those values and associated uncertainty is still far off, hinting at hidden biases.
