Mapping the Narrow Path & Avoiding the Quicksand
Russell · Team JapanColorado
Submitted to Red Teaming A Narrow Path: ControlAI Policy Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
Understand the current shortcomings of A Narrow Path, especially in policies 3-5, and work to address them.
Reviews
"Transfer Learning Standard Practice: Modern frontier model training
begins with pre-trained weights, not zero initialization (Microsoft Learn,
2024; SuperAnnotate, 2025)"
This is false, however the following objection to requiring weights of zero is an excellent one that we should address.
Cite this project
@misc{russell2025mapping,
title = {{Mapping the Narrow Path \& Avoiding the Quicksand}},
author = {Russell},
year = {2025},
month = jun,
note = {Submitted to Red Teaming A Narrow Path: ControlAI Policy Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/mapping-the-narrow-path-avoiding-the-quicksand-h6q1}},
url = {https://apartresearch.com/sprints/projects/mapping-the-narrow-path-avoiding-the-quicksand-h6q1}
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