EA - Bahamian Adventures: An Epic Tale of Entrepreneurship, AI Strategy Research and Potatoes by Jaime Sevilla

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Bahamian Adventures: An Epic Tale of Entrepreneurship, AI Strategy Research and Potatoes, published by Jaime Sevilla on August 9, 2022 on The Effective Altruism Forum. In previous episodes of my life: Jaime suspended his PhD. He started working with Open Philanthropy on modelling the development of transformative Artificial Intelligence. His independent research group picked up some steam. But whatever happened to the errand researcher afterwards? In short: lots. After leaving my PhD, what followed was one of the most hectic and exciting stages of my career so far. Let’s start with the highlights: Together with the rest of my research group we have launched our own research organisation: Epoch. We are working on anticipating the future of Artificial Intelligence. Back when I was interning at the Future of Humanity Institute, I resolved that one of my career goals would be to coordinate a research group. This has now happened five years earlier than I expected, which makes me slightly nervous about biting off more than I can chew. Still, I think it made sense to take this step. Our work so far has been well received, I got encouraging feedback on my leadership style and our founding team is awesome. I’ve been participating in the FTX Bahamas EA Fellowship program. This has been an amazing opportunity to mingle and cowork with some of the smartest people I’ve ever met. The paradisiac background hasn’t been too shabby either. My research hasn’t stopped: I am still working on macroeconomic modelling of AI Takeoffs with Open Philanthropy. Working with my manager, Tom Davidson, has been amazingly stimulating and instructive. On the downside, I feel like I severely underestimated how long the project would take. And in hindsight, I think I should have committed to work on it full time in order to do it justice. We have advanced quite a lot though, and with the support of Epoch the project is going more smoothly now. The Epoch team wrote Compute Trends Across Three Eras of Machine Learning. We studied how state-of-the-art Machine Learning models are becoming more compute-intensive over time.This paper has been very successful, and it’s been featured in the WCCI 2022 conference, Our World in Data and The Economist. I published Principled extremizing of aggregated forecasts, in which I propose a new forecast aggregation method based on a paper by Eric Neyman. The method performs quite well on Metaculus public data, and people at Metaculus have been experimenting with some variations. Pablo Villalobos and I wrote a review of The Potato's Contribution to Population and Urbanization: Evidence from a Historical Experiment for the Forethought Foundation. Turns out potatoes really are key for the development of the world outside the Americas. Jonathan Lindblum and I wrote A Bayesian Model of Records. We explored the problem of forecasting how we should expect the fastest times in several athletic events to evolve over time. The framework is very general, and I am hopeful that it will help us solve other problems like forecasting records in speedrunning. Ege Erdil and I wrote A time-invariant version of Laplace’s rule. We showed an inconsistency in the application of Laplace’s rule of succession, and recommended forecasters to adopt a new version. This is a continuation of my work on heuristics for forecasting. I have participated in a number of Epoch papers and blogposts, including Machine Learning Model Sizes and the Parameter Gap, What’s the backward-forward FLOP ratio for Neural Networks?, Projecting compute trends in Machine Learning and Estimating Training Compute of Deep Learning Models. Alongside these successes, there were also some failures: I got offered to write another article about potatoes. I wrote a few drafts and sent them, but I never got around to editing them prop...