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changlinli/README.md

Hi I'm Changlin Li

I'm interested in solving problems in formal reasoning and AI safety. If need be, I write code to try solve them.

Previously I worked in the financial services industry on knowledge management and expert systems and also at a startup on WebRTC monitoring and optimization.

I have participated in two batches of Recurse Center. Once in the summer/fall of 2019 and once in the summer/fall of 2023.

At the moment, relevant to things on GitHub, I'm studying:

  1. Mechanistic interpretability for AI
  2. Proving things using formal proof assistants

And as some fun side projects:

  1. Working on a fork of the Elm compiler

Popular repositories Loading

  1. intro-to-technical-ai-safety-slides intro-to-technical-ai-safety-slides Public

    HTML 24 8

  2. peterson-tlaplus peterson-tlaplus Public

    A TLA+ Specification of Peterson's Algorithm

    TLA 5 1

  3. w4224-notes w4224-notes Public

    Notes on the Bayesian Statistics w4224 class from Columbia

    TeX 4 2

  4. simple-java-nix-example simple-java-nix-example Public

    A simple example of how to compile and package a Java application using Nix

    Shell 3

  5. reinforcement-learning-alignment reinforcement-learning-alignment Public

    Jupyter Notebook 3 2

  6. neural-nets-from-scratch neural-nets-from-scratch Public

    Exercises for implementing MLPs from scratch directed at people who have never used PyTorch before.

    Python 3 4