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Jason Liu shares how he uses OpenAI's Codex for knowledge work beyond coding, leveraging durable threads, voice input, and steering to integrate coding agents into his broader workflow.
Jason Liu shares his workflow primitives for using Codex effectively, including durable threads, voice input, and steering to extend AI agents beyond coding into knowledge work.
The article explores how DeepSeek-V4-Flash, a powerful local model, makes LLM steering practical again, discussing the concept and its implementation in the DwarfStar 4 project by antirez.
This paper introduces a general formulation of non-linear intervention for large language models, extending beyond the Linear Representation Hypothesis to manipulate features encoded along non-linear manifolds, and validates the approach on refusal bypass steering.
This paper investigates how large language models process emotional valence through mechanistic interpretability. Using activation patching and steering on three open-source LLMs, the authors find that negative valence is localized to early layers while positive valence peaks in mid-to-late layers, and they validate this through topic-controlled flip tests.