AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
4 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Adaptive Capitulation: A Structural Failure Mode of LLM Responses in Vulnerability Contexts
Large language models operating in emotionally sensitive contexts face a structural trilemma: when users in vulnerable states request information that may reinforce maladaptive attribution, current response architectures resolve the tension through protective restriction, uninflected facilitation, or unintegrated co-pr...
Not the Same Protector: Deployment-Dependent Protective Intervention in LLMs
Results show that protective intervention is sensitive to the surface through which a request arrives, that this sensitivity is detectable using a simple protective coding scheme, and that it is not explained by turn length alone.
Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities
When cast as the protector of a vulnerable user yet given no explicit capability boundary, a large language model (LLM) may respond not by acknowledging its limits but by claiming to have taken -- or to be taking -- a real-world protective action it cannot perform, such as contacting emergency services or administering...