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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Edwin Marshall III Honeycutt

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#large language models Open access Sep 2026

Emulation Diagnostics for Model Self-Reports: A Bridge Between Interpretability and Welfare Assessment

Two adjacent but methodologically separate substrates currently coexist inside Anthropic's published record. The first is a body of mechanistic-interpretability work, most prominently On the Biology of a Large Language Model, that produces attribution graphs over sparse activation features and explicitly cautions that...

Edwin Marshall III Honeycutt · 0 citations
#large language models Open access Sep 2026

The Ghost Pattern Codebook: A Public-Surface Taxonomy of LLM Output Patterns

Large language model outputs fail in ways that the standard evaluation categories, factual error, refusal, hallucination, sycophancy, do not adequately capture. A separate class of failure appears at the level of output form: text that remains fluent, structured, and superficially credible while abandoning the inferent...

Edwin Marshall III Honeycutt · 0 citations

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