I'm Head of Labs at Long Lake, an AI holding company.
I grew up in the Bay Area fine-tuning GPT-2
to do my homework, and now live in San Francisco.
I enjoy skiing, soccer, reading, making playlists, geoguessing, flâneuring, and tennis—say hi!
Projects
- GeospotTeaching models to geoguess
- ChatWithPDFThe #1 ChatGPT plugin
- NotRealNews.netGPT-2 generated news sites
- JokegenPost-training Kimi K2 to make jokes
- WikWokScroll Wikipedia like TikTok
- CuaviewNative computer-use app for Mac
- FlâneurFind your next rabbit hole
- BackscrollAgent that scrolls your feeds
Writing
- Information AsymmetryHigh frequency info
- Teaching GPT-5 to Use a ComputerTowards self-driving computers
- Intelligence Arbitrage$25T Services Market
- Perceived AgeHalf Our Life is Over by 21
- High AgencyMastery in shape rotation
- Country of ServicesBackpropagating across a country
- Hero's JourneyThe Hero's Journey
- Social CapitalInterest paid in lifetimes
- Vector FieldsIncentivizing work than hacking
- Opportunity for AI peopleHow to become rich and famous (not clickbait)
- DAgger ExplainedExpert-guided imitation learning
- Building a web server with Docker and Traefik Load BalancerSelf-host anything and everything with this simple setup
- Policy Gradients [Draft]Explanation, derivation, and implementation of Policy Gradients.
- Gradients, Backprop, and Derivatives in Tensorflow [Draft]Tutorial on computing gradients and derivatives using Numpy and Tensorflow
- Hyperparameter Behavior in Reinforcement LearningHow do hyperparameters affect traditional RL algorithms?
- Starting out with Numpy, Pandas, Scikit-Learn, and KerasWelcome to an introductory tutorial into Data Science with Python. I will cover the basics of how to use Numpy, Pandas, Scikit-Learn, and Keras.
- Introduction to PythonA simple introductory tutorial on how to use Python.
- Building a Self Driving Car using Machine LearningProving Machine Learning methods can outperform traditional computationally expensive computer vision, path planning, and localization algorithms.