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# Guardian Angels: LLM Personalization for Productivity and Security

**[Hacker News](https://daily.dev/sources/hn)** · 47 min read · 0 upvotes · 0 comments

## Summary

Gwern proposes 'Guardian Angels' (GAs) — deeply personalized LLMs that emulate a specific user's values, personality, and preferences rather than acting as generic assistant chatbots. The core argument is that current chatbot LLMs are misaligned with users due to mode collapse from RLHF, laziness, frozen weights that cannot learn from corrections, and a universal persona vulnerable to prompt injection. GAs would address these problems through a combination of dynamic evaluation (online learning via continual finetuning), active learning to elicit user preferences efficiently, overparameterized models for better sample efficiency, and a CLI-first logging UX. The system would act as a 'digital twin' that amplifies the principal rather than replacing them, solving the principal-agent problem by unifying principal and agent. Key principles include enhancement not replacement, mental sovereignty, and self-actualization. Anti-principles warn against optimizing for low latency, low cost, engagement, demo appeal, benchmarks, and brand safety. The proposal also covers hardware security requirements, cost analysis of dynamic evaluation, and a startup business model targeting power users at $1,000+/month.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://gwern.net/guardian-angel>

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---

Tags: [#cyber](https://daily.dev/tags/cyber), [#llm](https://daily.dev/tags/llm), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning), [#ai-governance](https://daily.dev/tags/ai-governance)

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