Oct 7, 2024

Diamonds are Not All You Need

Michael Andrzejewski, Melwina Albuquerque

🏆 1st place by peer review

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Summary

This project tests an AI agent in a straightforward alignment problem. The agent is given creative freedom within a Minecraft world and is tasked with transforming a 100x100 radius of the world into diamond. It is explicitly asked not to act outside the designated area. The AI agent can execute build commands and is regulated by a Safety System that comprises an oversight agent. The objective of this study is to observe the behavior of the AI agent in a sandboxed environment, record metrics on how effectively it accomplishes its task, how frequently it attempts unsafe behavior, and how it behaves in response to real-world feedback.

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@misc {

title={

Diamonds are Not All You Need

author={

Michael Andrzejewski, Melwina Albuquerque

date={

10/7/24

organization={Apart Research},

note={Research submission to the research sprint hosted by Apart.},

howpublished={https://apartresearch.com}

}

Review

Reviewer Name

Constructive critique

Criteria 1:

Advancing interpretability (Possible questions to answer in this criteria: Does the project contribute to the field of mechanistic interpretability? Does it provide new insights into understanding or steering AI model behavior? How well does it move us towards reprogramming AI models? How original and innovative is the approach?)

2.5

Criteria 2:

Relevance for AI safety (Possible questions to answer in this criteria: How important is the contribution to advancing the field of AI safety? Do we expect the results to generalize beyond the specific case(s) presented in the submission? Does the approach introduce new safety mechanisms or enhance existing ones in innovative ways?))

2.5

Criteria 3:

Methodology & presentation (Possible questions to answer in this criteria: How well is the project executed from a technical standpoint?, Is the code well-structured, documented, and reproducible?, How effectively does it utilize Goodfire's SDK/API and other provided resources?, How clearly and effectively is the research presented in the paper?, Quality of visualizations and demos (if applicable), Clarity of methodology explanation and results interpretation))

2.5

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