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Research
Empirical
- Engineering the Generalisation Landscape of LLMslesswrong →Samuel Ratnam · LessWrong, July 2026Freezing a trait-eliciting LoRA while training the base model beneath it creates or removes entanglements between traits; disentangling emergent misalignment makes the model more robust across domains.
- Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignmentarxiv →Cameron Tice, Puria Radmard, Samuel Ratnam, Andy Kim, David Africa, Kyle O'Brien · ICML 2026 (spotlight)How discussions of AI in pretraining data shape model behavior through self-fulfilling mechanisms. Accepted as a spotlight paper at ICML 2026 (top 2.2% of submissions).
- Objective Matters: Fine-Tuning Objectives Shape Safety, Robustness, and Persona Driftarxiv →Daniel Vennemeyer, Punya Syon Pandey, Phan Anh Duong, Michael Umeokoli, Samuel Ratnam · arXiv 2025How different fine-tuning objectives impact language model safety and adversarial robustness at scale.
Code
Repos
- νgithub →spawn, send, watchA minimal actor calculus for Claude Code agents: spawn, send, watch. An agent is a row in a database, woken by a message and parked again after one turn.
- OpenRecommendergithub →local, transparentA locally-running, AI-powered content recommendation system that prioritizes user transparency and control.
- Poetry Copilotgithub →a thesaurus for verseAI writing assistant for poetry, providing inspiration, intelligent thesaurus, and editing suggestions.
- Favour Auctiongithub →favours, at auctionA point-based favour trading platform where users submit favours and bid in auctions.
- Non-Linear Writing Interfacegithub →branching draftsA keyboard-native writing application for crafting branching narratives using DAG visualization.