AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work asks why evidence integration in large language models requires thinking, and reasoning trajectories showed models revisiting input, recounting letters, and checking intermediate counts that informed the answer, suggesting that thinking constructs the accumulated count that direct responses lack rather than r...
In this controlled decision setting, thinking improved how models acted on current evidence, while neither measured signature supported a shift toward a more information-seeking policy.
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