AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Agent memory systems such as Mem0 and Zep decide what to keep before any question arrives; coding agents keep the raw history and let the model search it with its own tools. We ask whether designed memory still helps once the model is strong enough to search for itself. On one LoCoMo conversation (419 turns, 152 questi...
Creativityis often viewed as one of the defining hallmarks of intelligence, yet the mechanisms underlying creative behavior remain poorly understood. This question has become increasingly important as artificial intelligence systems demonstrate remarkable abilities to generate novel text, images, music, and code, raisi...
This work formalizes this need as the GUI-API parity principle: every capability available to human users through a graphical interface should also be accessible to agents through a structured, callable interface with appropriate safety metadata.
The results suggest that learner- and curriculum-aware alignment may matter more for effective tutoring than model category alone, and that such alignment is both measurable and improvable.
Findings show that insecure code generation is not merely a collection of independent defects, but a structured and prompt-conditioned phenomenon, motivating cluster-aware verification and prompt-level intervention for safer LLM-assisted programming.
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