jphall663
commented
7 months ago Machine Learning: The High Interest Credit Card of Technical Debt: https://research.google/pubs/machine-learning-the-high-interest-credit-card-of-technical-debt/
WINNER’S CURSE? ON PACE, PROGRESS, AND EMPIRICAL RIGOR: https://openreview.net/pdf?id=rJWF0Fywf
The Data Scientific Method vs. The Scientific Method: https://odsc.com/blog/the-data-scientific-method-vs-the-scientific-method/
AI Snake Oil: https://www.aisnakeoil.com/ (blog/substack)
The Fallacy of AI Functionality: https://dl.acm.org/doi/pdf/10.1145/3531146.3533158
Data and its (dis)contents: A survey of dataset development and use in machine learning research: https://www.cell.com/patterns/pdf/S2666-3899(21)00184-7.pdf
Against predictive optimization: https://predictive-optimization.cs.princeton.edu/
Measuring the predictability of life outcomes with a scientific mass collaboration: https://www.pnas.org/doi/10.1073/pnas.1915006117
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?: https://dl.acm.org/doi/pdf/10.1145/3442188.3445922
AI Is a Lot of Work: https://nymag.com/intelligencer/article/ai-artificial-intelligence-humans-technology-business-factory.html
Insanely Complicated, Hopelessly Inadequate: https://www.lrb.co.uk/the-paper/v43/n02/paul-taylor/insanely-complicated-hopelessly-inadequate
datherton09
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