Random thoughts, some cool ideas, some cool ways to communicate or think about ideas, some more math-y/machine learning stuff. If you have ways in which these can be improved for clarity or accessibility please let me know! I reserve the right to edit and update these at any point in the future.
I've also started putting these on Substack, so you can subscribe there if you want to get updates without having to check here: ronakrm.substack.com
Math-y, More Formal Posts
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Coordinal: A Postmortem.
Most startups fail, this one did too. An account of the startup, the startdown, and lessons learned. -
Interpretable by Design - Constraint Sets with Disjoint Limit Points
The simplex is a nice interpretable set with some useful properties. -
GPT-2 Sometimes Fails at IOI
For Lisa, GPT-2 does not do IOI. -
Incorporating Preferences is Easy if You Discretize
Continuous settings can be hard, but matching and moving arbitrary distributions is easier if you discretize. -
Interpretability As A Science
Knowing the typical or base distribution of a measure is important for interpreting a specific instance of that measure!
Misc-y, Personal-y Posts
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A Bit For You
Some musings on a single, but potentially most important, bit. -
Scratch/Progress on Site Building
Scratch post for site imports, styling, etc. Skippable unless you're interested in the site's construction. -
Less Muse and Thicker Plots
Some old but very pretty and satisfying visualizations for a pointless analysis. (JS, JQuery, HighCharts)