Towards an Optimal Design: What Can We Recommend to Elon Musk?

Elon Musk's successful “move fast and break things” strategy is based on the fact that in many cases, we do not need to satisfy all usual constraints to be successful. By sequentially trying smaller number of constraints, he finds the smallest number of constraints that are still needed to succeed - and using this smaller number of constrains leads to a much cheaper (and thus, more practical) design. In this strategy, Musk relies on his intuition - which, as all intuitions, sometimes works and sometimes doesn't. To replace this intuition, we propose an algorithm that minimizes the worst-case cost of finding the smallest number of constraints.

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Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/smc54092.2024.10830985
Primary Topic
Design Education and Practice
Type
article
Field-Weighted Citation Impact
0.00

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article

Towards an Optimal Design: What Can We Recommend to Elon Musk?

Martine Ceberio, Владик Крейнович, Hung Tan Nguyen, Olga Kosheleva
Design Education and Practice
article

Towards an Optimal Design: What Can We Recommend to Elon Musk?

Martine Ceberio, Владик Крейнович, Hung Tan Nguyen, Olga Kosheleva
article en

Abstract

Elon Musk's successful “move fast and break things” strategy is based on the fact that in many cases, we do not need to satisfy all usual constraints to be successful. By sequentially trying smaller number of constraints, he finds the smallest number of constraints that are still needed to succeed - and using this smaller number of constrains leads to a much cheaper (and thus, more practical) design. In this strategy, Musk relies on his intuition - which, as all intuitions, sometimes works and sometimes doesn't. To replace this intuition, we propose an algorithm that minimizes the worst-case cost of finding the smallest number of constraints.

New Mexico State University (US), The University of Texas at El Paso (US)
National Science Foundation
Openalex Percentile: Top 74%
Design Education and Practice
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