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LLM internals

2 articles · Page 1 of 1
Geek Labs
Geek Labs
Sep 9, 2026 · Artificial Intelligence

Heretic: Automated Model Surgery Removes Refusal Without Damaging Capabilities

This article explains how Heretic automates directional ablation to permanently remove refusal behavior from language models by editing model weights, contrasting it with jailbreaks and steering vectors, and details its use of Optuna optimization with KL divergence to preserve model capabilities, situating it within a broader taxonomy of model modification techniques.

AbliterationHereticKL Divergence
0 likes · 18 min read
Heretic: Automated Model Surgery Removes Refusal Without Damaging Capabilities
Thought Artisan
Thought Artisan
Jan 28, 2026 · Industry Insights

Tech Briefing #2 2026: AI Agent Evals, vLLM Memory Leaks & Software Complexity

This technical briefing curates 14 deep-dive articles covering AI agent evaluation methodologies, real-world task benchmarking, Google engineering lessons, Rust vs C assembly performance, MCP tool calling internals, structured logging design, minimalist agent architectures, Codex agent internals, historical developer replacement attempts, observability evolution, vLLM memory leak debugging, hotspot optimization pitfalls, and LLM non-determinism root causes.

AI agentsLLM internalsObservability
0 likes · 9 min read
Tech Briefing #2 2026: AI Agent Evals, vLLM Memory Leaks & Software Complexity