Consider donating to AI safety champion Scott Wiener

Written in my personal capacity. Thanks to many people for conversations and comments. Written in less than 24 hours; sorry for any sloppiness. [Link to donate here -- please use this link rather than going to his website -- but please read at least the first few paragraphs!] It’s an uncanny, weird coincidence that the two … Continue reading Consider donating to AI safety champion Scott Wiener

Consider donating to Alex Bores, author of the RAISE Act

Written in my personal capacity. The views expressed here are my own. Thanks to Zach Stein-Perlman, Jesse Richardson, and many others for comments. [Link to donate here -- please use this link rather than going to his website -- but please read at least the first few paragraphs!] Over the last several years, I’ve written a … Continue reading Consider donating to Alex Bores, author of the RAISE Act

Seven lessons I didn’t learn from election day

I spent most of my election day -- 3pm to 11pm Pacific time -- trading on Manifold Markets. That went about as well as it could have gone. I doubled the money I was trading with, jumping to 10th place on Manifold's all-time leaderboard. Spending my time trading instead of just nervously watching results come … Continue reading Seven lessons I didn’t learn from election day

Algorithmic Bayesian Epistemology

In January, I defended my PhD thesis. My thesis is called Algorithmic Bayesian Epistemology, and it’s about predicting the future. In many ways, the last five years of my life have been unpredictable. I did not predict that a novel bat virus would ravage the world, causing me to leave New York for a year. … Continue reading Algorithmic Bayesian Epistemology

How much do you believe your results?

[Note: images may not load if you're using the WordPress app. Try opening this post in a browser, or reading it on LessWrong.] Thanks to Drake Thomas for feedback. I. Here’s a fun scatter plot. It has two thousand points, which I generated as follows: first, I drew two thousand x-values from a normal distribution … Continue reading How much do you believe your results?

Grading my 2021 predictions

In December 2020, I made 100 probabilistic predictions for 2021. As promised, I’ve come back to evaluate them on two criteria: calibration and personal optimism/pessimism. I also challenged readers to compete with me. More on this later, but first, here are my predictions, color-coded black if they happened and red if they didn't. I. US … Continue reading Grading my 2021 predictions