In January, I defended my PhD thesis, which I called Algorithmic Bayesian Epistemology. From the preface:

For me as for most students, college was a time of exploration. I took many classes, read many academic and non-academic works, and tried my hand at a few research projects. Early in graduate school, I noticed a strong commonality among the questions that I had found particularly fascinating: most of them involved reasoning about knowledge, information, or uncertainty under constraints. I decided that this cluster of problems would be my primary academic focus. I settled on calling the cluster algorithmic Bayesian epistemology: all of the questions I was thinking about involved applying the "algorithmic lens" of theoretical computer science to problems of Bayesian epistemology.

Although my interest in mathematical reasoning about uncertainty dates back to before I had heard of the rationalist community, the community has no [...]

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Outline:

(02:05) Chapter descriptions

(09:49) A note on the title

The original text contained 3 footnotes which were omitted from this narration.

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First published:

Source:

Linkpost URL:
https://arxiv.org/abs/2403.07949

Narrated by TYPE III AUDIO.