Forecasting
I'm interested in judgmental forecasting as a route to improved decision
making. I recommend
Superforecasting
for an introduction, but I think it overclaims in some ways (e.g.
regarding
generalists vs. expertise). I co-lead the
Samotsvety Forecasting team. My
forecasting track record is described
here. Some takes on forecasting/epistemics interventions as of March 2024
here.
AI Research
During my last year of college, I co-created
TextAttack, a Python
framework for adversarial attacks in NLP. See the
paper or
blog post. We also published a
paper arguing for
stricter evaluation of adversarial examples in NLP. While at Ought, I
co-created the
RAFT Benchmark.
Effective Altruism and Advanced AI
I'm part of the
effective altruism
movement, which aims to use reason and evidence to improve the world as
much as possible. I've taken the
Giving What We Can Pledge
to donate at least 10% of my lifetime income to charities I think are
the most effective, and ideas I learned about due to effective altruism
have had a large impact on my career decisions. I've decided to work on increasing the chance adanced AI goes really well
because I think it's both very important and very interesting.
I'm currently focused on AI forecasting, strategy and policy.
Writing
Some writing I've (co-)authored that I am happiest about:
Miscellany
Battlecode
I competed in
Battlecode for
several years, a competition for high-school and college students to
program the best bot to win a strategy game. My team advanced to the top
4 3 out of 6 years. See
the README here for more.
Clash Royale
During the end of high school and beginning of college, I played a lot of Clash Royale, a
mobile game. I did well in a few competitions and built up a bit of a following before quitting.
Speedcubing
During middle school and early in high school, I spent a lot of time
solving Rubik's cubes as fast as I could (and doing them one-handed and
blindfolded). My WCA profile is
here; I was decent but not world class.