Hi, I'm John Friedman.

Some things about me:

• I was born at Rutgers, lived in Ithaca, and spent my teenage years around the Berkeley CS Department. I was lucky to have Jack Oliver, as my 5th grade buddy.
• When I was 13, I became interested in economics. I have worked for Simon, Jon, and Guo. I have also edited some of Daron's papers.
• I dropped out of Cal to work on covid relief and economic research.
• At 20, I coauthored with a future Nobel Prize Winner. My erdos number is 4.
• I recently left my PhD at UCLA to work on information processing.
• Over the past year I have prepared a rich training set for AI. This has required me to write parsers that scale, architect distributed computing pipelines, and deploy apis that serve data on a tight budget.
• You can use my endpoints here. So far I've served over 100tb of data.
• The training set is the SEC corpus. I've published a python package for working with the SEC, found how to get filings faster, and distribute more data than the SEC does.
• I currently have ~$100k in compute, mostly through AWS, Modal and Porter. I am looking for more.
• My affiliations include UCLA, Cal, Berkeley Haas, MIT Sloan, Covid-19 Policy Alliance, and ODF23.
• I frequently write articles on Medium, post on LinkedIn, and share code on GitHub.

Here I complain about people misquoting Tyler Cowen, and how horses are actually doing great now. I also don't think humans are horses, and am optimistic about AI.

My email is johnfriedman@datamule.xyz.